(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 12.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 735622, 13610] NotebookOptionsPosition[ 719884, 13341] NotebookOutlinePosition[ 720259, 13357] CellTagsIndexPosition[ 720216, 13354] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["1-123-T-Mma-PanamaCoronaVirus - Teacher Version", "Section", CellChangeTimes->{{3.7941351119085364`*^9, 3.7941351569679875`*^9}}, TextAlignment->Center,ExpressionUUID->"d1a12fff-6fe5-4de4-9342-30d4d8c3c001"], Cell[TextData[{ "Brian Winkel, Director SIMIODE, Cornwall NY USA\n", StyleBox["*** DRAFT ***", FontSize->16, FontWeight->"Bold", FontColor->RGBColor[1, 0, 0]] }], "Text", CellChangeTimes->{{3.794135159857573*^9, 3.794135172937516*^9}, { 3.7942700390997763`*^9, 3.7942700436474733`*^9}, {3.794401863293173*^9, 3.7944018676708117`*^9}}, TextAlignment->Center,ExpressionUUID->"c0e6c5c9-d06f-4ec6-8519-7f04d268eb65"], Cell[TextData[{ StyleBox["Source:", FontWeight->"Bold"], " Ministerio de Salud de la Rep\[UGrave]blica de Panam\[AGrave]. 2020. \ Casos de Coronavirus COVID-19 en Panam\[AGrave] \n\ http://minsa.gob.pa/coronavirus-covid19. Accessed 22 March 2020. \n\nWe study \ the early spread of the Corona virus (COVID-19) in Panama. We are NOT using \ the traditional epidemiology SIR model with three populations Susceptible, \ Infected, and Removed. Rather here we are going for a one population model \ consisting of those who are infected or are cases with the virus.\n\nGender \ specific lockdown went into effect 1 April 2020, day 15. Women permitted out \ on MWF, Men on TThS, No one on Sunday. Two hour tim elimit based on ID \ number, e.g., if last digit ends in 7 then hours permitted are 7 AM to 9 AM, \ gender permitting." }], "Text", CellChangeTimes->{{3.7941351976571445`*^9, 3.7941352188281155`*^9}, { 3.7941434881985826`*^9, 3.7941435167884665`*^9}, {3.794143628501379*^9, 3.7941436687979264`*^9}, {3.7942700907810144`*^9, 3.79427017004865*^9}, { 3.79536510894013*^9, 3.7953651334599133`*^9}, 3.796344303836862*^9, { 3.796384764388521*^9, 3.7963847690608654`*^9}, {3.7966007768704033`*^9, 3.7966008206798754`*^9}},ExpressionUUID->"b6f7e04d-e34c-477c-9c41-\ 0ea28fe46a13"], Cell[CellGroupData[{ Cell["Data Input", "Subsubsection", CellChangeTimes->{{3.7940807542477093`*^9, 3.7940807609519053`*^9}},ExpressionUUID->"e3926233-e6a5-4b43-bb8b-\ ab09c64eb187"], Cell["\<\ We present the official existing cases data for early March 2020 with Day 1 \ in our data set being 9 March 2020 and each increment of 1 being another day. \ Thus the first entry in the data pairs is the day and the second entry is the \ number of official existing cases of COVID-19 in Panama. Day 25 is 2 April \ 2020, the day after the quarantine set in.\ \>", "Text", CellChangeTimes->{{3.7941352467818933`*^9, 3.794135354715541*^9}, 3.794344096286665*^9, {3.7953651255147257`*^9, 3.7953651272120028`*^9}, { 3.7966016566713395`*^9, 3.796601681902544*^9}, 3.7966017305205307`*^9, 3.7966020330837255`*^9},ExpressionUUID->"38eb0584-f837-4ee5-93f8-\ 6cfaf8709fb2"], Cell["Here is a plot of the data.", "Text", CellChangeTimes->{{3.794135398675454*^9, 3.794135405345232*^9}, { 3.7941354507449903`*^9, 3.794135456329376*^9}, {3.796601696350086*^9, 3.796601712295158*^9}},ExpressionUUID->"4a37ba2c-d82b-49b5-9507-\ e42ad2ea099a"], Cell[BoxData[ RowBox[{ RowBox[{"data", " ", "=", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "8"}], "}"}], ",", RowBox[{"{", RowBox[{"3", ",", "14"}], "}"}], ",", RowBox[{"{", RowBox[{"4", ",", "27"}], "}"}], ",", RowBox[{"{", RowBox[{"5", ",", "36"}], "}"}], ",", RowBox[{"{", RowBox[{"6", ",", "43"}], "}"}], ",", RowBox[{"{", RowBox[{"7", ",", "55"}], "}"}], ",", RowBox[{"{", RowBox[{"8", ",", "69"}], "}"}], ",", RowBox[{"{", RowBox[{"9", ",", "86"}], "}"}], ",", RowBox[{"{", RowBox[{"10", ",", "109"}], "}"}], ",", RowBox[{"{", RowBox[{"11", ",", "137"}], "}"}], ",", RowBox[{"{", RowBox[{"12", ",", "200"}], "}"}], ",", RowBox[{"{", RowBox[{"13", ",", "245"}], "}"}], ",", RowBox[{"{", RowBox[{"14", ",", "313"}], "}"}], ",", RowBox[{"{", RowBox[{"15", ",", "345"}], "}"}], ",", RowBox[{"{", RowBox[{"16", ",", "443"}], "}"}], ",", RowBox[{"{", RowBox[{"17", ",", "558"}], "}"}], ",", RowBox[{"{", RowBox[{"18", ",", "674"}], "}"}], ",", RowBox[{"{", RowBox[{"19", ",", "786"}], "}"}], ",", RowBox[{"{", RowBox[{"20", ",", "901"}], "}"}], ",", RowBox[{"{", RowBox[{"21", ",", "989"}], "}"}], ",", RowBox[{"{", RowBox[{"22", ",", "1075"}], "}"}], ",", RowBox[{"{", RowBox[{"23", ",", "1181"}], "}"}], ",", RowBox[{"{", RowBox[{"24", ",", "1317"}], "}"}], ",", RowBox[{"{", RowBox[{"25", ",", "1475"}], "}"}], ",", RowBox[{"{", RowBox[{"26", ",", "1673"}], "}"}], ",", RowBox[{"{", RowBox[{"27", ",", "1801"}], "}"}], ",", RowBox[{"{", RowBox[{"28", ",", "1988"}], "}"}], ",", RowBox[{"{", RowBox[{"29", ",", "2100"}], "}"}], ",", RowBox[{"{", RowBox[{"30", ",", "2249"}], "}"}], ",", RowBox[{"{", RowBox[{"31", ",", "2528"}], "}"}], ",", RowBox[{"{", RowBox[{"32", ",", "2752"}], "}"}], ",", RowBox[{"{", RowBox[{"33", ",", " ", "2974"}], "}"}], ",", RowBox[{"{", RowBox[{"34", ",", "3234"}], "}"}], ",", RowBox[{"{", RowBox[{"35", ",", "3400"}], "}"}], ",", RowBox[{"{", RowBox[{"36", ",", "3472"}], "}"}], ",", RowBox[{"{", RowBox[{"37", ",", "3574"}], "}"}], ",", RowBox[{"{", RowBox[{"38", ",", "3751"}], "}"}], ",", RowBox[{"{", RowBox[{"39", ",", "4016"}], "}"}], ",", RowBox[{"{", RowBox[{"40", ",", "4210"}], "}"}], ",", RowBox[{"{", RowBox[{"41", ",", "4273"}], "}"}], ",", RowBox[{"{", RowBox[{"42", ",", "4467"}], "}"}], ",", RowBox[{"{", RowBox[{"43", ",", " ", "4658"}], "}"}], ",", RowBox[{"{", RowBox[{"44", ",", "4821"}], "}"}], ",", RowBox[{"{", RowBox[{"45", ",", "4992"}], "}"}], ",", RowBox[{"{", RowBox[{"46", ",", "5166"}], "}"}]}], "}"}]}], ";"}]], "Input", CellChangeTimes->{{3.794076303081933*^9, 3.7940763853502965`*^9}, 3.7940793874001303`*^9, {3.7943238467834053`*^9, 3.7943239073074455`*^9}, { 3.7944336347781706`*^9, 3.794433649871477*^9}, {3.794535293448183*^9, 3.7945352993666*^9}, {3.7945353650409718`*^9, 3.7945354051672444`*^9}, { 3.7946076429859424`*^9, 3.7946076482994633`*^9}, {3.794699910868432*^9, 3.7946999175840096`*^9}, {3.794773444489397*^9, 3.7947734561193666`*^9}, { 3.7948676131358147`*^9, 3.7948676167636857`*^9}, {3.79496404646243*^9, 3.794964054764844*^9}, {3.7950505775461626`*^9, 3.795050584090123*^9}, { 3.7951368220857754`*^9, 3.7951368288525534`*^9}, {3.7952199762691274`*^9, 3.7952199807423306`*^9}, {3.795310051242231*^9, 3.7953100550619645`*^9}, { 3.795398878268039*^9, 3.7953988829223366`*^9}, {3.7955630351835904`*^9, 3.7955630533128853`*^9}, {3.795659707598696*^9, 3.7956597174046774`*^9}, { 3.7957384564127626`*^9, 3.795738461298894*^9}, {3.7958215047183013`*^9, 3.795821517534189*^9}, {3.795910213355218*^9, 3.7959102204412565`*^9}, { 3.7960818597853737`*^9, 3.7960818894902368`*^9}, {3.7961608817960196`*^9, 3.796160888871849*^9}, {3.7963415575771804`*^9, 3.7963415792155447`*^9}, { 3.7965722716697683`*^9, 3.796572294559698*^9}, {3.7966003685275087`*^9, 3.7966003778336344`*^9}, 3.796600453939131*^9, {3.7966775323254356`*^9, 3.79667754493754*^9}}, CellLabel->"In[1]:=",ExpressionUUID->"21d3355e-99f0-41c6-8b49-9bf8edd8e0a7"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"qPlot", " ", "=", " ", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{"{", RowBox[{"25", ",", "1475"}], "}"}], "}"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "2"}], "]"}], "]"}], "*", "1.1"}]}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"PointSize", "[", ".03", "]"}]}], "}"}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.796601706670899*^9, 3.796601831631073*^9}, { 3.7966019269075084`*^9, 3.7966019542640615`*^9}}, CellLabel->"In[2]:=",ExpressionUUID->"2d09cb0e-9908-4bd4-ae63-98eb47fdfbe5"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6], PointBox[{{25., 1475.}, {25., 1475.}}]}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.796601802107423*^9, 3.796601832346851*^9}, { 3.7966019161668262`*^9, 3.79660197068499*^9}, 3.7966021580991135`*^9, { 3.796677598581974*^9, 3.7966776233703203`*^9}, 3.796679953173493*^9}, CellLabel->"Out[2]=",ExpressionUUID->"c0c22750-9e71-4d25-a9ab-351db8cb18e4"] }, Open ]], Cell["\<\ We will presume the total national population of Panama (based on 2017 data) \ to be 4,099,000 people.\ \>", "Text", CellChangeTimes->{{3.7941353599856157`*^9, 3.7941353938154597`*^9}, 3.7941354609746575`*^9},ExpressionUUID->"e720de2a-8633-4351-bd34-\ ee79c3c2a378"], Cell[BoxData[ RowBox[{" ", RowBox[{ RowBox[{"K", "=", " ", "4099000"}], ";"}], " ", RowBox[{"(*", RowBox[{ RowBox[{"**", "2017"}], " ", "population", " ", "of", " ", "Panama"}], " ", "***)"}]}]], "Input", CellChangeTimes->{{3.794076976045186*^9, 3.794076995670444*^9}, { 3.7940791641756015`*^9, 3.794079166191351*^9}, {3.7940793974959364`*^9, 3.794079406106303*^9}, 3.794079460671524*^9}, CellLabel->"In[3]:=",ExpressionUUID->"7ad27dc3-b5db-4f27-a464-1a43384f7f4e"], Cell["Here is a plot of the data.", "Text", CellChangeTimes->{{3.794135398675454*^9, 3.794135405345232*^9}, { 3.7941354507449903`*^9, 3.794135456329376*^9}},ExpressionUUID->"37f1f397-2d94-442a-b463-\ 858861ee8e5a"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"dataPlot", " ", "=", " ", RowBox[{"ListPlot", "[", RowBox[{"data", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "2"}], "]"}], "]"}], "*", "1.1"}]}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.7940763886632395`*^9, 3.794076396570902*^9}, { 3.794077508679981*^9, 3.79407751132096*^9}, {3.794079291415856*^9, 3.7940793589418426`*^9}, {3.7940794301254797`*^9, 3.7940794433814106`*^9}, { 3.794079474689355*^9, 3.7940794750330973`*^9}, {3.7941354091149907`*^9, 3.79413543629774*^9}, {3.7944018930969048`*^9, 3.7944019061678452`*^9}}, CellLabel->"In[4]:=",ExpressionUUID->"30442564-86c9-44ec-84ef-d6e9168cf1b1"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[0.012833333333333334`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJxV0j9LAnEAxvEfTQ0NDg4NDVccIRFHmpWV6WVaQxAoNLVUEORikTW5nEPQ IHGIEESQIiEVkf9eQC+gtffg0NBLqHi+yx0cH7483PHjuOnjs8LJmDHG+bv/ 1fWTDmpcYeE4zmMI1zGMGZyUXo6eoneD73Xz9Az7Pm2zH9Cz0jqiI1jEOdks Bc/pl2mHvqIXZLdCR+V5lY7J0DW9yPM3dFxGavSSHN3Sy/LTp1fkZZ1OyEaD XpUTd/SatO9pvrP9QCc53yO9IU+bdErWW3RafrRpV3pPSCc77Jsy+8xO+y/s GWm9stPftNmSe2/s9OE7e1ZedNnpHm34b8o9djrWZ9+WX7RHewP2HekM3V81 3VBC "]]}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.794076397164632*^9, 3.794077003287354*^9, 3.7940770705892696`*^9, 3.794077435782879*^9, 3.794077512055298*^9, 3.7940788771587114`*^9, { 3.794079181224945*^9, 3.7940791976404753`*^9}, {3.7940792404943156`*^9, 3.794079251802121*^9}, {3.79407930812187*^9, 3.7940793282929487`*^9}, { 3.7940794534678583`*^9, 3.7940794813629637`*^9}, 3.794079856753924*^9, 3.794080553413637*^9, 3.794080625870448*^9, 3.794080685404669*^9, 3.7940921909020777`*^9, 3.79409923786197*^9, 3.7940993266262226`*^9, 3.7941354382247734`*^9, 3.794137284142932*^9, 3.7943441949551177`*^9, 3.794401870847823*^9, {3.794401911019334*^9, 3.794401927843104*^9}, 3.794402621123633*^9, 3.794433690067977*^9, 3.7945353044217663`*^9, { 3.7945353486277742`*^9, 3.794535370138507*^9}, {3.7945354034538326`*^9, 3.7945354115932755`*^9}, 3.794537108730708*^9, 3.7945377746178474`*^9, 3.7946076755456266`*^9, 3.794619403539974*^9, 3.7946209256408634`*^9, 3.7946999238885593`*^9, 3.794773463722045*^9, 3.794867626646042*^9, 3.794964060748983*^9, 3.7950505938316464`*^9, 3.7951368360984845`*^9, 3.795219994187272*^9, 3.7952828062809143`*^9, 3.795310064784154*^9, 3.7953107326610975`*^9, 3.7953416622815714`*^9, 3.7953656054609556`*^9, 3.7953657570634413`*^9, 3.795366858116273*^9, 3.7953670702217255`*^9, 3.79536745386467*^9, 3.7953684920811467`*^9, 3.795368636755192*^9, { 3.7953699974294662`*^9, 3.7953700101703815`*^9}, 3.7953988894588985`*^9, 3.795563062564036*^9, 3.795738467993083*^9, 3.795821591168743*^9, 3.795910285241024*^9, 3.796081940242613*^9, 3.796160891642001*^9, 3.7962099809158463`*^9, 3.7963415850407577`*^9, 3.796572302357289*^9, { 3.7966003957640963`*^9, 3.796600423819434*^9}, 3.79660046151879*^9, 3.7966021582630625`*^9, {3.796677602466775*^9, 3.7966776234712877`*^9}, 3.7966799533314447`*^9}, CellLabel->"Out[4]=",ExpressionUUID->"afe0cda1-6f18-4e2d-9875-2d029adb6af2"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"dataPlot", " ", "=", RowBox[{"Show", "[", RowBox[{"dataPlot", ",", "qPlot"}], "]"}]}]], "Input", CellChangeTimes->{{3.796601847866918*^9, 3.7966018567431803`*^9}, { 3.796602135224182*^9, 3.796602138203261*^9}}, CellLabel->"In[5]:=",ExpressionUUID->"ef58421e-e8ff-4d89-b8d5-99c1fc606830"], Cell[BoxData[ GraphicsBox[{{{}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJxV0j9LAnEAxvEfTQ0NDg4NDVccIRFHmpWV6WVaQxAoNLVUEORikTW5nEPQ IHGIEESQIiEVkf9eQC+gtffg0NBLqHi+yx0cH7483PHjuOnjs8LJmDHG+bv/ 1fWTDmpcYeE4zmMI1zGMGZyUXo6eoneD73Xz9Az7Pm2zH9Cz0jqiI1jEOdks Bc/pl2mHvqIXZLdCR+V5lY7J0DW9yPM3dFxGavSSHN3Sy/LTp1fkZZ1OyEaD XpUTd/SatO9pvrP9QCc53yO9IU+bdErWW3RafrRpV3pPSCc77Jsy+8xO+y/s GWm9stPftNmSe2/s9OE7e1ZedNnpHm34b8o9djrWZ9+WX7RHewP2HekM3V81 3VBC "]]}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6], PointBox[{{25., 1475.}, {25., 1475.}}]}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7966018572710133`*^9, {3.79660191628279*^9, 3.7966019708379416`*^9}, { 3.7966021388230643`*^9, 3.796602158337039*^9}, {3.7966776026347227`*^9, 3.7966776235392666`*^9}, 3.7966799534494085`*^9}, CellLabel->"Out[5]=",ExpressionUUID->"875a6154-b6b9-47a2-9f34-e8b6ecaee6b1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"tend", " ", "=", " ", RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}]}]], "Input", CellChangeTimes->{{3.795563788211053*^9, 3.7955637896898365`*^9}}, CellLabel->"In[6]:=",ExpressionUUID->"62945b84-367d-40f0-9990-8b1a1af39cc9"], Cell[BoxData["46"], "Output", CellChangeTimes->{ 3.7955637903586283`*^9, 3.7957384680510645`*^9, 3.7958215912157283`*^9, 3.795910285292009*^9, 3.796081940306594*^9, 3.796160891684988*^9, 3.79620998099397*^9, 3.7963415850887423`*^9, 3.796572302395276*^9, { 3.7966003958490696`*^9, 3.7966004241033444`*^9}, 3.796600461583771*^9, 3.7966021584160147`*^9, {3.7966776026547165`*^9, 3.7966776236072454`*^9}, 3.796679953568372*^9}, CellLabel->"Out[6]=",ExpressionUUID->"8f3fd361-fd81-4ec4-9e17-44e9f29e2d7a"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["CONTINUOUS MODELING", "Subsection", CellChangeTimes->{{3.795344413628995*^9, 3.7953444408206234`*^9}, { 3.795366697150803*^9, 3.795366698598735*^9}},ExpressionUUID->"159a5a9f-67ee-4463-9ff9-\ c43575d7db64"], Cell[CellGroupData[{ Cell["Model 1 Analysis - Continuous Model ", "Subsubsection", CellChangeTimes->{{3.794077240676777*^9, 3.794077258669628*^9}, { 3.79408165086436*^9, 3.794081654270839*^9}, 3.7940914004296412`*^9, { 3.7952207907768416`*^9, 3.795220797392186*^9}},ExpressionUUID->"807992b4-f981-4579-9f74-\ 2205b944c34d"], Cell[BoxData[ RowBox[{"Remove", "[", RowBox[{ "r", ",", "A", ",", "B", ",", "CC", ",", "K", ",", "KK", ",", "SSE1", ",", "SSE2", ",", "SSE3"}], "]"}]], "Input", CellChangeTimes->{{3.79534351346717*^9, 3.79534352772403*^9}, { 3.795343973404991*^9, 3.7953439741237307`*^9}, {3.7953654216864853`*^9, 3.7953654224247665`*^9}, {3.795368565477268*^9, 3.7953685697920513`*^9}}, CellLabel->"In[7]:=",ExpressionUUID->"332e3c69-25f2-4a21-8b7f-2744afeb9914"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ys", "[", RowBox[{"t_", ",", "r_", ",", "KK_"}], "]"}], " ", "=", " ", RowBox[{ RowBox[{"y", "[", "t", "]"}], "/.", RowBox[{ RowBox[{"DSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}], "\[Equal]", RowBox[{"r", " ", RowBox[{"y", "[", "t", "]"}], RowBox[{ RowBox[{"(", RowBox[{"KK", " ", "-", " ", RowBox[{"y", "[", "t", "]"}]}], ")"}], "/", "KK"}]}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}], ",", RowBox[{"y", "[", "t", "]"}], ",", "t"}], "]"}], "[", RowBox[{"[", "1", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.795050625409202*^9, 3.7950507108830237`*^9}}, CellLabel->"In[8]:=",ExpressionUUID->"0da170cb-c6c9-42e8-9cfd-a35e292fb381"], Cell[BoxData[ FractionBox[ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"r", " ", "t"}]], " ", "KK"}], RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[ExponentialE]", RowBox[{"r", " ", "t"}]], "+", "KK"}]]], "Output", CellChangeTimes->{{3.795050678688741*^9, 3.795050703972308*^9}, 3.795050872733597*^9, 3.795136851732502*^9, 3.7952200027149453`*^9, 3.7952211301039724`*^9, 3.795282929412391*^9, 3.795310078605577*^9, 3.7953439773747854`*^9, {3.795365592761757*^9, 3.795365610097414*^9}, 3.7953657906117005`*^9, 3.7953660988651495`*^9, 3.7953661294555106`*^9, 3.7953668582222395`*^9, 3.795367075338852*^9, 3.7953674539786353`*^9, 3.7953684922800856`*^9, 3.795368636901148*^9, 3.7953700156311665`*^9, 3.7953988977317953`*^9, 3.795563131485197*^9, 3.7955645767512116`*^9, 3.7956597277095037`*^9, 3.7957384681855288`*^9, 3.795821591316697*^9, 3.795910285378982*^9, 3.79608194040956*^9, 3.7961608918159475`*^9, 3.796209981103346*^9, 3.7963415852556906`*^9, 3.796572302561224*^9, { 3.7966003959730315`*^9, 3.7966004243502693`*^9}, 3.7966004617337255`*^9, 3.796602158522981*^9, {3.7966776027916727`*^9, 3.796677627780956*^9}, 3.796679953744317*^9}, CellLabel->"Out[8]=",ExpressionUUID->"311cc276-1d7d-4374-bee6-3e1868d610fb"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"SSE", "[", RowBox[{"r_", ",", "KK_"}], "]"}], " ", "=", " ", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], " ", "-", " ", RowBox[{"ys", "[", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], ",", "r", ",", "KK"}], "]"}]}], ")"}], "^", "2"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.7950507138744826`*^9, 3.795050769441329*^9}, 3.795050866852136*^9, 3.7952200097712417`*^9, {3.7952205414305944`*^9, 3.7952205418771353`*^9}}, CellLabel->"In[9]:=",ExpressionUUID->"ba9fd9ab-62ba-499e-938e-4ebbc7699d16"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"solrKK", "=", RowBox[{"FindMinimum", "[", RowBox[{ RowBox[{"SSE", "[", RowBox[{"r", ",", "KK"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", ".35"}], "}"}], ",", RowBox[{"{", RowBox[{"KK", ",", "2800"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.795050828189588*^9, 3.795050850241111*^9}, { 3.79505091616125*^9, 3.795050917776023*^9}, {3.7951368700276732`*^9, 3.79513688516893*^9}, {3.795220018286476*^9, 3.795220024908913*^9}, { 3.7952205109995537`*^9, 3.79522051395774*^9}, 3.7952205931376557`*^9}, CellLabel->"In[10]:=",ExpressionUUID->"12589fb3-23eb-4a5c-8739-15ea88c01419"], Cell[BoxData[ RowBox[{"{", RowBox[{"5.516908624257244`*^6", ",", RowBox[{"{", RowBox[{ RowBox[{"r", "\[Rule]", "0.2866928594220096`"}], ",", RowBox[{"KK", "\[Rule]", "4471.757747255763`"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.79505085083292*^9, 3.7950508785573897`*^9}, 3.7950509184738054`*^9, {3.7951368789229126`*^9, 3.7951368858287077`*^9}, { 3.795220020082882*^9, 3.795220025390764*^9}, {3.795220500173458*^9, 3.7952205146203527`*^9}, 3.7952205449333515`*^9, 3.7952205943814173`*^9, 3.79522113077792*^9, 3.795282929838168*^9, 3.795310079113418*^9, 3.795343977874776*^9, {3.7953655930828753`*^9, 3.79536561048937*^9}, 3.795365790789646*^9, 3.7953660989111357`*^9, 3.7953661295174904`*^9, 3.79536685827086*^9, 3.7953670754288225`*^9, 3.795367458056984*^9, 3.795368492408045*^9, 3.795368637040105*^9, 3.7953700157561293`*^9, 3.7953988978387637`*^9, 3.7955631316161566`*^9, 3.7955645768911686`*^9, 3.795659727831464*^9, 3.7957384683015003`*^9, 3.7958215913896728`*^9, 3.7959102854431715`*^9, 3.7960819405035315`*^9, 3.7961608918939247`*^9, 3.7962099812283416`*^9, 3.7963415853356676`*^9, 3.7965723026402006`*^9, { 3.7966003960839987`*^9, 3.7966004244672327`*^9}, 3.7966004618376913`*^9, 3.7966021586189528`*^9, {3.796677602871648*^9, 3.796677627875928*^9}, 3.7966799538752785`*^9}, CellLabel->"Out[10]=",ExpressionUUID->"a349a63c-d311-4141-b8dc-d9098a26077d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SSE1Continuous", " ", "=", " ", RowBox[{"solrKK", "[", RowBox[{"[", "1", "]"}], "]"}]}]], "Input", CellChangeTimes->{{3.795221141046556*^9, 3.7952211494798546`*^9}, { 3.7953657843367205`*^9, 3.795365786038842*^9}}, CellLabel->"In[11]:=",ExpressionUUID->"f71f588b-e901-488a-9dad-d507ff9a9cd2"], Cell[BoxData["5.516908624257244`*^6"], "Output", CellChangeTimes->{ 3.7952211498852158`*^9, 3.7952829299162908`*^9, 3.7953100791684027`*^9, 3.7953439779528985`*^9, {3.7953655931448393`*^9, 3.7953656105613527`*^9}, 3.795365790889614*^9, 3.7953660989471235`*^9, 3.795366129556479*^9, 3.795366858309847*^9, 3.7953670754468174`*^9, 3.795367458385883*^9, 3.795368492477025*^9, 3.795368637093088*^9, 3.7953700158530993`*^9, 3.795398897913741*^9, 3.79556313169913*^9, 3.7955645769931374`*^9, 3.7956597279194365`*^9, 3.795738468366849*^9, 3.795821591442659*^9, 3.7959102854891586`*^9, 3.796081940557514*^9, 3.796160891947906*^9, 3.7962099814314632`*^9, 3.7963415853856525`*^9, 3.7965723026901836`*^9, { 3.796600396161975*^9, 3.796600424550208*^9}, 3.796600461859687*^9, 3.7966021586889305`*^9, {3.7966776029386287`*^9, 3.7966776278949213`*^9}, 3.796679954138196*^9}, CellLabel->"Out[11]=",ExpressionUUID->"8fc83d35-af55-4a5b-a338-544f4cc5f07d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"K1", " ", "=", " ", RowBox[{"KK", "/.", RowBox[{"solrKK", "[", RowBox[{"[", "2", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.7955645580271263`*^9, 3.7955645696311135`*^9}}, CellLabel->"In[12]:=",ExpressionUUID->"2289d283-7d95-4910-9bf1-ad39f64d27c1"], Cell[BoxData["4471.757747255763`"], "Output", CellChangeTimes->{{3.7955645700719748`*^9, 3.7955645771001034`*^9}, 3.795659728014407*^9, 3.7957384684361863`*^9, 3.7958215914996395`*^9, 3.7959102855391483`*^9, 3.7960819406174955`*^9, 3.796160891999891*^9, 3.7962099815095863`*^9, 3.796341585445632*^9, 3.796572302742169*^9, { 3.7966003962439475`*^9, 3.796600424650176*^9}, 3.7966004619176674`*^9, 3.7966021587549095`*^9, {3.7966776029966097`*^9, 3.796677627910917*^9}, 3.796679954295148*^9}, CellLabel->"Out[12]=",ExpressionUUID->"aa0ab14f-99c0-49e9-9c11-f9a0336d981c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ysol1", "[", "t_", "]"}], " ", "=", " ", RowBox[{ RowBox[{"ys", "[", RowBox[{"t", ",", "r", ",", "KK"}], "]"}], "/.", RowBox[{"solrKK", "[", RowBox[{"[", "2", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.79505092002153*^9, 3.7950509440604267`*^9}, { 3.795220097399083*^9, 3.795220131063741*^9}, 3.7952202225805926`*^9, { 3.795220490005884*^9, 3.7952204950844617`*^9}, {3.7952205259745903`*^9, 3.79522053081909*^9}, 3.7952211180076933`*^9}, CellLabel->"In[13]:=",ExpressionUUID->"46cba15b-4db8-427f-82ec-dfd4b1dff609"], Cell[BoxData[ FractionBox[ RowBox[{"4471.757747255763`", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"0.2866928594220096`", " ", "t"}]]}], RowBox[{"4470.757747255763`", "\[VeryThinSpace]", "+", SuperscriptBox["\[ExponentialE]", RowBox[{"0.2866928594220096`", " ", "t"}]]}]]], "Output", CellChangeTimes->{ 3.7950509446402464`*^9, 3.7952200430539026`*^9, {3.795220107624008*^9, 3.795220131355652*^9}, 3.795220223006898*^9, {3.7952205312441387`*^9, 3.7952205498526793`*^9}, 3.795221130857896*^9, 3.7952829299787893`*^9, 3.795310079227384*^9, 3.7953439780310216`*^9, {3.7953655932118196`*^9, 3.795365610636541*^9}, 3.7953657909855857`*^9, 3.7953660989791136`*^9, 3.7953661296014657`*^9, 3.7953668583468366`*^9, 3.7953670754648113`*^9, 3.795367458467859*^9, 3.7953684925560007`*^9, 3.7953686371480713`*^9, 3.7953700159630637`*^9, 3.7953988979917154`*^9, 3.7955631317831044`*^9, 3.7955645772110686`*^9, 3.7956597281113787`*^9, 3.7957384685081635`*^9, 3.795821591559621*^9, 3.7959102855841355`*^9, 3.79608194067048*^9, 3.7961608920548754`*^9, 3.7962099815877085`*^9, 3.796341585516612*^9, 3.7965723027941527`*^9, {3.7966003963319216`*^9, 3.796600424738149*^9}, 3.7966004619856453`*^9, 3.7966021588208885`*^9, {3.7966776030595903`*^9, 3.7966776279279118`*^9}, 3.7966799544161105`*^9}, CellLabel->"Out[13]=",ExpressionUUID->"15a20f2b-bd1e-4960-8a65-8f980c0cfd61"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Limit", "[", RowBox[{ RowBox[{"ysol1", "[", "t", "]"}], ",", RowBox[{"t", "\[Rule]", "Infinity"}]}], "]"}]], "Input", CellChangeTimes->{{3.7953102809735565`*^9, 3.795310295507044*^9}, 3.795310338819353*^9}, CellLabel->"In[14]:=",ExpressionUUID->"41e07c82-2235-4ebb-bac9-50c84dda0761"], Cell[BoxData["4471.757747255763`"], "Output", CellChangeTimes->{ 3.795310296019879*^9, 3.7953103393201942`*^9, 3.79534397812477*^9, { 3.7953655932867966`*^9, 3.795365610720379*^9}, 3.795365791086553*^9, 3.795366099010111*^9, 3.7953661296474504`*^9, 3.795366858394822*^9, 3.7953670755467863`*^9, 3.795367458550833*^9, 3.79536849264997*^9, 3.7953686372180505`*^9, 3.795370016048038*^9, 3.7953988980666924`*^9, 3.795563131872078*^9, 3.7955645773110404`*^9, 3.7956597282083483`*^9, 3.795738468580657*^9, 3.7958215916166053`*^9, 3.7959102856331196`*^9, 3.79608194073846*^9, 3.796160892110857*^9, 3.7962099816658325`*^9, 3.7963415855845895`*^9, 3.7965723028471355`*^9, {3.7966003964178953`*^9, 3.7966004248361177`*^9}, 3.796600462057624*^9, 3.796602158896867*^9, { 3.796677603129569*^9, 3.7966776280138836`*^9}, 3.796679956144577*^9}, CellLabel->"Out[14]=",ExpressionUUID->"943f58cd-f445-4170-a9e0-eac8fbd33d08"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"yopt1Plot", " ", "=", " ", RowBox[{"Plot", "[", RowBox[{ RowBox[{"ysol1", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "2"}], "]"}], "]"}], "*", "1.1"}]}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Green"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.795220614472849*^9, 3.7952206531495123`*^9}, { 3.7952211191590977`*^9, 3.795221120639317*^9}, {3.795365490789912*^9, 3.7953654947609234`*^9}, {3.7953655750504675`*^9, 3.79536557573726*^9}}, CellLabel->"In[15]:=",ExpressionUUID->"2eb005c5-d575-4762-8dfc-4da78a9196c1"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nc81e/7B3CbyF4h2Xvv3Xmd4zgnyspISkalyAqVhpJRihRfMkr6SIqM c6RBVkgqRSihJEoi2SMjv/P7630/H/f1vh7Xfd33437ccn6hOw+yMDEx1TAz Mf3/169YOadInLY1h/2tLRPTFCEkrVCT6cIVwtgB34J5gSlClxrTu/qEXAJx l8viqtwU4cJ8ya28hFKCac6FTiJ5iuC9h/Xi1YRagmGVaFThpSnCjhTt0xcT 3hLgFpL2W3ya0KhCPhaX8IVwtbp0dIk0Q2ibrwsrPzpAeKD75bmL+wzhQ5NZ UL/XV0LhIS3ppoAZwlx5Jl3ixiDhUY4K/eu1GQLXjiv3j0YMEeyfuVQKDc4Q dOKjrsspjhDS37fkR8TOEqLnHMLPJ0wQrn+y/vG8Z44Q75NheoH9D0Ew8lHu o8k5QnJb/7/LCX8IT2/E9DVzzhNuFhxOSk+YJLDO3fM2Np0n7FMndnY1ThHY brSLBuTME6L7PMdHGmcILKM7MtUOLBBqzFOkeZsWCCkSqiPMfEuEhjB6DD/r IqFdkGZUqLZEaC7sHha0XiSYpbNSAm2WCG1CUsViTYsEh342i53RS4T+sXvG sk1LhNljB6Lv/lkiLOc8dzRoWiZYZE0on+r5SzBbmTu/u+kfQZ8uKz/euELg uKO5Lr3+j3D3QZf8w8EVQrfdgTND5usE/ywu4Rv/VghhOV3Hj1SsE3asrdq9 MV8ldG3ufVTnxITaKItBWuUqYUPNk+IOAjN8zt93KS9bIxxbjkyfk2bF/jSd zuM164S97wS6PlqwQvf617HzA+sEUn6JYNVuVmjfYW/0YGKCgN33lOgMVpzy Nwysl2fCg2yXSxy8bEjoMZU5cpgJ30z1z25aZUNm4/lC+0Um2J+YPGTZx4H+ 7ZF/2xVYkKy3LSNxkQNqwy0qw8YsaBu/3dgtwglt/71+3HYs2OGzUzrYkRP+ tllOGWEssLN91JnbzAmao+KBvDoWUKROW62XcYFLn07N3MeKrfUcwo1x3FjP e1tFL2PD2ZPe4PuPG5dyZqfCmtlQa/A02LOOGy+ZI1iofWywvB/QOrPEjbD5 SyKmHOwwT22LVgjhgdjPyRxdb3YY708bjffYCPYh7YfXRDmgzbmljqrFB5mo Hwl16ZwoY8nO5bfnw8rcw5sF5Yy6/wlH9wTxwV/RxKvoNSd05jdYHirhw30J xUP8zFzQHZ6vuqDBj7tcr046h3Ih++tI35CIADKfWS21OW/AjWd1H+WEBRF3 akdbgQ4P9pqdaWFXEITa87vdhQ482PzE7PEvfUGcJLIatgXz4GZFZQZ9pyDO 13dnnS9huKjYlZgmiKKQzUE3NDYiN/N6p4+gEPzCBfeW6/IiLyLkXR6/MC6Z lFrH7eJHJy+dHLlFGCJSd2u+RPGD7f5s9TYtYSjM8pfsyeFH4Oeoe9N2wsgR mItv/MIPQ5u4GOsLwvDIcFOQNRBAq1iW/s9VYdTl64zw1Qtgqur5de0xEUR7 Ctda/BCEvCsbL+tfETRGBh6gLAnC7Q8lrodTFMX3/WwP8gihWr4tNEZJFJ+k deUH9YQQn/RxW6ePKKo38oe0nRPCJq/x5WM9ojj6Q4SeJiMMMIl61zaLQS+2 rSMyVATCzw6XtXeL4Rox5xr7RRGMHKtZ+/ZdDGMLysfot0SQPL7/Jge7OKaZ /dX2vBNBz8eKXkcbcby7VUb7qy2KkFIn16EX4mivtLc+Ny+KXM9kW86Xm2D8 3SkgPUscYaKDWRI9m2CYHrzc+lAcpA6DUY2fm6C+rXpgc7s4Rm36LzhxSuD2 z0ldBQ5GnJ56czZVAqdkVOdLj21CG2frVs1WCZR+ZXb+7CmB5UpWQ+dXkhhm OfD63lYp/B16dGpTryTkd/U8PuMlhSWBw8+/jkoiwSf/ZOQZKSwGtTmEcEnB ocJP5m21FOYUMwKSqFJ4XKZKVDHbjMl05bwXL6SQO3BUOt9SGt8jbbnNGzfj x/Se/A/eMhjOX3Fi7tyM3//rbXeNk8FQR2lm67fNeHTLXmS1UAbfNIWUdjFL Y+jy8+tNf2Qw8L2PEAlp+P5pqpOGLD65Bh0rY4yMs0xKTn+QxVvDq4Pyz7bg yA4+uRMC8th6rqW079UWhPxISElQkAft1dqptE9bcBRdPPeN5ZG+L0iUZWEL NLNULqt5ycMz0dbum64MyMN8o7IP5DHaz1qZx6gjzTaVbc5OAeeJNdZ8trLo PMe9/WWOIqpHdqkHOsmiNUVbNZamiJmkWYGWXbJ41+Ix5NKiiAMf1Qei/WUh 6HbL3nJGEduOZEdNxMliW2VUgcJ2JfBlHC9tq5NFe2Hua19mZdwc1RVPMpRD Yas6s32MCpS2uI0lWMqhsqVaVPOGCspcTtbGkOXw483SO7XHKmioe77/uKsc AmJLq8//VsH39J0030g5OH7ssL/nqQpNYqStaaUcngqu3xi1VENt9pPTPwzk kbM1adVGUgOU9n6HQQt5/OIS5oaZBjrYmOT7reURm394v5eHBoZCt7V2uMhD Tu9yNkumBjgovSI1EfK4m9YZvSKqCYeZ5dK0h/LIfijD+0ZSCwN2WwcJBgoY ILsIcBN1cJvv7kKFuQJWy+ljXn468Ovk4VUmKWBCrUX7Q5wOfu7uNdvorAAl 9qJL2i91MHU48n+fQhSwxMfi1qqiC5aLxZSjxQpYZuPiznmoC6UmsdJ8OUW8 lpoZTejVw+iF6CZRNUWIhYsqJ//WQ7Hd995EXUVcD1xLL1zXg3YnnSOUoIig CUuvTcr6MP62w8fCSxF0d4up6Qh9bFuPFe7OUkSHTJHONWEDBFlMnmQXUMKb 3c7WYvsN0WzKvtFFXAnTSYI8PlGGkDaWunV7ixJGmoxn668Y4p0utdFCSwnO Or/ONT41hK5yHne4nRJSXl3i+8BvhFkBxxsD8UoIPuIQSG40wqmRsponf5Uw 083hPGdqgs7hZgd2xr5/Y5EW0XU2gca3vsGdXMoY1lj8Fx9ggs/9HOx/xJSh 433o4akcE1i932evaKgMlbC/YVlrJmCq4Ru4FqKMPTsj9le2muJiash6wLAy hoQudGpGmENXhves+7gy9uc+UpZKNcenkgerpFlluIjlKmmUm0O9dfSvFKsK iEL7qmjj5mj75zf3Vl4FPvxinu7+FhAI2vVLz08F8YbMwlp+lsihoOvvoArY mPb/J31sK0jdA84joyqo9taaTM7cinHf6I7OKRUk5Z0Yka/eCsvo6rcPmFRx ZXbsTNP6Vnx9aNjqJasKATlm1s/JBCjKqdU+91aF/Ybo4G27gLIVwXuXBlTB OvfD704iEdfEZw//+aGK3MpNi5tvEBFu0K3uMqEKywyu/qJSIoyOXC/bvKoK bv/8b2udRNT0ST4ul1CD9de7kqlbSHhTpfDig6sajvcPsh2vImH0hNGw3Bs1 GDQMGbb9s8br/4ndvdCphmrxD409wmSUlC/6j/eq4WXOTeu/qmSE/qwaqxxV Q7DqrRNnXchYcN86Q+VQB2H/mEJ6ERlsxlTmEKI65AyNHjB52kBuzkOm+ok6 7qcpisS3UbDzduPb2np1BH/QPXduhIL4HZpnnr9Ux6mVZJMsJipGC9Y/tfao oy3ssaC8ERU0t8K0nkV1cHzsXsvJowJPZtnnTTRgGiPyZOupbfA5lfJb56kG hH9uYLKi2iFNeSnHoEEDnLXvDyoctENzp6+tSasGvIlhhzXi7KCqYVS49ZMG 9l1v6rldb4ep/n5v+yUNuLNohCmZb0eMlVpXoKkmNvXUpT022oHbTM1Vd59q 4lVYsuSGbQ44PPJ5OK5BE8d8bZXaAhyg2zbP69eqiWd9HI6VSQ54nqnit+WT JmKjyLfm2h0wpJ3EnbmoCVv1N0lmno5Q8Nq5J9FYCypB94RXzZ1QWDW4Glip hYMxuicfH3RGSN5fZdsaLajL6w0JnnSGcYKQs0qzFvYv/TgTm+yMFify3eEu LWjQyf/deeiMnz/v2e+d1YKZTJbMKMtOqIqF3rLX18bTAwsbUu7uxIPwNYIu TRs8yydXZ1ZcUDLiUXrhiTZkdE3d8gVcUeZZKfmlThuF/sEV/kquoJGOzF96 q43eJ1Ft2o6ueCzUWzw8pg3Fk3WNdXdc0VhRKZqppAOL14eEppzc8GnmyPha jg6ue69Oa9e4o8//pYdrvg4eSq4L3O9yR3+ffEtxkQ6c173GTMfdMdDYe3vX Ux0M6bCq5kvuwnAa1Z3+QQeBR4XcM07twonsVB99Ll1kkTqWhAgeiDULfvOD pIv468mBwv278cDCO2qQoosPbG9TZxd3o9vKWanfThc/vAIMZkU8oUQyOtex UxedhnqHnR090Wq3pv/MTxcHv4zpXHnhCb69V3KuxepC4GaMp8zTPcg5Wxpg 0aiLAHHzqNzHXmiKyRMzbtGF0D4fr7IeL/yOTW3Sfa2LM66beIaXvGB18Zi0 cqcu/i2b7nxqsQ+DV63eCwzpImSDWrpY0z4o//fWdIRZDyxbAqMaP3njYdME ZypRDwnO2+OPCvhiaeP5j1QbPRiOfPssLu+Lre4id/9tY9zbMbFD7Qa+aB01 JwU56eEpx5TxsV2+GOBNPEP11oPQjsoP1/N8scFDfnrtjB6+NJPyyAZ+8P7t 3hf4VA+c57Y+ajy8HwVGY/flavQwXxdRUH9mP8bORp/4VK+HRGXJwI5r+xEp WCBCeamHiWnv51pV+3HZeNpB7qMePpyl5PVyH8CjmKSmnlk9XM8NAkfFAfCI NpSQdfTx677eFhMBf0QVZk7bGejjQ/Lmpieq/hgxCTV2NtHH3xN+0TuJ/mjw 3NLgRdDHTy2JzI/h/jh++0zXcUd9ONpxqmzu8ceQhtny/VB96JrGGj0sOIRq UgWVl6YPt+jFjlbXAKh2X0oWrtTHZLjT2bqwAGQc9H0v8VQfz7NfX3mfHICw RIE9yg368FO/T3R6EQDldyEhhA59aMy0cDw0CUTabo2Mo1P6CHhYmqosfwQB YQVDH3QNEDUo+O4KXzDyb7kcfGVoAFb+C2PvtYLR18YyWmNqgDTVw+1G9sHY oeY7cQcGUEp7ut8rORjaQ9JLR50M4PBnoVN7YwhmXDJ5+cIMUOa4/H1WMBSn TS6bUsoNsHLw/LGAG2G48i805bGWIa7b7qi3WAjHUESDvr+eIXzSnSVmuCJg +kugR9TIECIvxq9WSUVgqIsuc8zSENuVWjjOECNgXDRLM9huiPmnPhc7rkRg 0OVEF+2wIWiZg+QmtUjoF53d9OCOIdbCOXk1Q4+hx+VKfp6EES7a/lT6qx8F V0H52lvSRvhflHC6x44odL573JMrZwSLvm7BjoNRaLMd3HhTzQg1OayxnNlR eE4wOJFlZoTjN9q35DCdxAON3u2pu42wbiB7w6v7JM6xKs3HZhuhxS9E71PK aag8rKH6Sxjj/Zf16SMu59DwZCZOTtoYrw/uu2V29Bw8a1QbPssaY0PgSW7Z q+eQ8iLd1EXVGCzI9TB5cw4LPUFqMDFGMVnn7jb5GDSvbuaRdDOGwN4i7fXc GPhRot+9vWYMyoVz9rx555Hba+VmxGUCMwWVtyKv4sByenv7Fx4TPGulBo33 xcF/827bC/wmeHG4PrL9dxx0vSOtesRMINT57GO9QDyavxcrnVQygcGOm2Gk 3fH4PSm+UEMyQW3B6NGu3/Gw5Ji5To42Qc7XohbKlgvo0y/85DJjgk3/0YwO PUjEoc1LrdsXTEAd2H4tuTERc+x2VdbLJtgh+WS6sTcRfL0T2QYsprga3d3j x3UJpHNGe4SFTFES5pMR6n8JD940f+nUM0VYiXB9vdJlnDkwPOR81BTEA3cD HOhJkL4uO+E4ZQqOgFGJ2NUUXGj4HeD6xQxN1Ytm+ybSMD/3+oTxgDm+6Hv4 hCtlQn3vtZVDfRZIlkp0Cq+8gYTL937+98ISRnPM7l6StzHS2HGgqtkKb533 PVrNzEdI43a73oqtUHz1yJ38rQA1c6V3t90kYMn9T3gEyz0kbhJ89XoHMG2+ +2CXbBFsJCMj5huB9psVPOJDxWCX8xnhsyaiLKq65ltCCcoiV/dOkIk4vumJ 1pmkEni0ZnW9oRCxZVjzvVBqCYpD3zck2jHeKaeNKgxvlsCpjnSDZScRVa9c p+wqSpCzR8lpwYcI59TrbI1fSqBzfazqy1kiIlozIwb1SrGb59iVkmoiklMr 9MTbS3FYay3/fA0RVwUEucu6SnHcMeGpex0Rh57uOUX8VIr0/2UMMzUSEfry ncq+b6XokHps5vaKiNtJ1n0hs6WgaC7+WOshYvjvYtMfsTIY2p/c6jhPxJ4Y E+PwPWUQuBo9Oa1DwkzhhpJPfWUw+KDS8EePBKdoib0zA2Vwl+q8Nm5AQgLH hxNcw2W4eU9Z/4cJCZbyUctq42VQaWiP/EQgQfrMy4OklTJsnZZbrnMk4cVy fP5ryXIEu7SwJYeS8KinxIm6qxyvxfkllctJYB703Hu4pRynmS+vMNFJ+DNh 0XzsVTk0x9m+9FeQ8PrkfFxMWzmu1i3npT4m4ezGWcGUznK4HhxRWqsloWGv VPalgXJ8qajV624jYWryZz/rQjmm7INsY8dI6H9eX5koSMN/Jj/VvX6TEHeK mDkiRMNOOb+Npn9IMHRLIVqL0PBoblf7xDQJPBJrU0tiNJy6Ye22+y8Jtf0O XW6baWD7Jemry2UN31Q1/4/KNIjHv4oaULLG1Vjd2iVzGj6n+ot+U7GGWKyo 53ZLGvLzWCuG1awxmeR//6YVDZrPrMZHtazxkvOKlwVoIM7QvWaNrKEdnkUN sKHhiE8OiYtiDebQlxyJjjTUWx7ZqO9vDZ755jOf/GiIt+MqMjxsDY/wRw6s B2iw87hrYxJojb87t89qHqShO+LrWcsQa6SFhT09c4iGX8Uu05Tj1lAMfuHA F0SDsITlxz0XrJGso5q0HEnDofmNtxMKrXFCv0LxXwINae8z+s/et4b7M7dg pos01JRuEY8qtsbBrDI6cyINQv66KYFl1uDOFtZjvkxD3UeXM46PrfHEIkNh 7goNIk9zPCRaGP3Zvzm3OIOGhlOqgqU/rNF+eNOcdwEN4+70HYU/rfHr1eoB 67s0iBmYJ+b9ssbpgwYTSoWM9Y9vX0+dYPQv9Cdl9B5jfm/oxPF5a3hlRxv7 PaAh2OrxK7CTkbKmX6tRQYMkEzm2W5GMb6fesEjV09B1LvfdA2UyLJ5fvPiB 4eT1Bck4xju9qubXrqsNNPz7V/RQT5MMezbxAaZGGobX+H+kGJBRw2Gb2t9M Q8lKP9WWREaYGVEq7DUNVosRvHXeZNzhTf4l8YGGheNvd2f4kjFgEshbzzBt QbkwaD8ZBR4jV/d/pEF+oXer1CEyXrCuVhT30MAxTwiLCiHj+Kd95/X6aHg3 w9OlH02G7ednz+S+0uDz507WvRwydn07dOLaKA1aaTK3C2+SsXKR95X2LxqW jW7cu3uLjAQm/6NtDKdHpz2+k0/GtT0drezjNLzaeL47r5iMzunOgrAJGvQ1 9glkVZMRXM6drzLDOK+HNyUm9pFRZPZ3k8wKDe950q9e/ExGmnvTmSKGb5Xz Z14YIOOEPWm7wSoNposchfFDZLx98UzdZo3R7wvzTTFjZGgscrP5rdPwsaBz PWqZjAOXvvwXw0pH0bfkEwGSNgji/h3txkMHm1rvVcpmGzz59ti5hWGfMKX7 CltssFi0VmG8kQ6x9dpPX+RsUJjyREaMl474zZNmO9VsQH7RVdrOx4jf5bxq bmoDg2zjFS0hOsTfip7f6G6D+82aljmb6AgX8cv+tcsGbmsbUtYYfrenjN6y 2wZvv0ad8pFg5BujDMV42SCcJVNRSZKOGc4o6/kDNjh3NLW1SIoRT+pjH4iw QeZ7u4LbW+hIeHrrcnmqDagFvQSqIh2Udx+Jcf+zQVeJ28hNhjm+8/11z7DB x5Rs4xmGE/nPHfqXZYMw9ZYPN5ToSPb3JtvftsH1qnrxcWU60kVk/42V2WDb r5Lpk2p0FIT9d1S5zQadN+LU92jTcfBCr+ryWxt408QKCxlWvik4+LbdBpPb XT5MM3z/5XmHY102eCY263hRh46SLX4azX020Lf6XlumS0dlm/wP31828HIP qpnUp6NZtcAjl4OCQJlCI0sTOrL9/r3O4qJgMOO6azzDITc9rNK5KeD3EVVs Y3iTAK98Eh8FXEaCHz1N6QhaPDYeJUbBIbLx1UgzOkRaqGddlSm46dRyK9uC Ue/+8Ts8FAqMRsr8Swh0mOfaiHFuoyA6Md9onGGBnrxEFjsKhLTk69VAR7Wd a/BfewrmTk6xFDLMp19r/NONAs6jP9xuEOl4zHT1VeNBCtanNgectGb095b+ 5MkECiplhYzYqXQEnPYKd7lIwYOsLnNThts8Euc1L1FA2N3Ac4Th/wkPrHxN puB16DR/B8Oyly5xUdIpKOg6ey9zGx0WkYNyQncomMzgIErb0RFml+Ja3EBB XcP/zrPa09GtUtUT10gB86UUJ12GTdi/e3o1U9ATwDq9l+F/9Wa+Aq2M9VRv uveI4SSjH8HH2ynI8RWZOOBAR6Gs5UXSAAWpdzu4njnS0b/wq6pvhQKlOatq yk7GfskMOYyvUWB2ye+/cIbPbusbXlmnIP9xotsthmVzXvNKs1Hx9myj0jzD /lYPfL03UuFsZx5024WO6bigDd83U6HHP9g44UoHp+Ckx4QVFTXG18QP7qLj k9nPiTUCFV/11rmTGC72+xrLR6JC9gyhk8bwjsr2Eh0KI3/sv88rDKftojGF O1Dxjz47etWDDulbR+8v7KPCMGaSnbabjj8tAVacvlSsfn1m38Vww6Rvp/h+ KqLSA4MWGPYj7lw1PUTF+R4NHUtPxvn8ru90OpQKtW17218wfIpX40fSUSqS yXu6fjK83Vjh1M0Ixv+rtPINexj5LwoX1J6g4tay2MwOhutpPGbvTlKhNHne I4Tha72s7wZOU2GxupR5lWE/llW/yWgqgpfv02gMG2jMLa6fo4L5Wl3+e4b/ D2LhfFU= "]]}, Annotation[#, "Charting`Private`Tag$1871#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.795220641594819*^9, 3.7952206538170233`*^9}, 3.7952211309738584`*^9, 3.7952829300881624`*^9, 3.795310079305358*^9, 3.795343978234229*^9, {3.7953655933928957`*^9, 3.795365610854807*^9}, 3.795365791245505*^9, 3.7953660990680933`*^9, 3.7953661297184305`*^9, 3.795366858483794*^9, 3.7953670756387596`*^9, 3.795367458673794*^9, 3.7953684927559385`*^9, 3.79536863731802*^9, 3.795370016178997*^9, 3.7953988981876554`*^9, 3.7955631319760466`*^9, 3.79556457744*^9, 3.795659728319315*^9, 3.7957384686731424`*^9, 3.7958215917635603`*^9, 3.795910285716095*^9, 3.7960819408664203`*^9, 3.796160892240816*^9, 3.7962099817752066`*^9, 3.796341585673564*^9, 3.796572302937109*^9, { 3.7966003965308604`*^9, 3.796600425101036*^9}, 3.796600462190584*^9, 3.7966021589968348`*^9, {3.7966776032365375`*^9, 3.796677628112853*^9}, 3.7966799565064635`*^9}, CellLabel->"Out[15]=",ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXAmQHVUV7czvPzPJJCGLSMAtuIIigrigokSlEHcUAzEoEIExgAICWliU SywL3CgsLbcq4664o4KJiho3BEUcRWQRIQhoRFBAUFZ5nnvv2/vd7j/hD4jF r5mu37/Pfe/u775+/frFq45bfejrVx132MGrlj7vmFVHrz7s4GOX7nnUMfip N6uqRpZV1awDl1T4bqpK/t3nOfgPp91nO9Kxv2ndmkn7WbNuk6kOol97Zmrt 5OTaKXyti6j9GOV/rWo69OWifHCtGqFfe/7XagW3RU27D7pQengV90BYpgZL JdTrWJLH03HMeDA+7nt1YCZPrwW7r2C5E/wAmI5lDYzFl1hmphtpods/k6sN ewRLt4Nw5Vvv+RZIIFMdkEk40oHfN7Id6b/fgV8eaYXwfH3U9+cJc7qVLRrK sYfHkqY99dypKqmKj72Ueq078PuLZP4H9yXHLc+8v88h0EbRkI/t28vkaZGv iF8RziOt6vj9g+XYJA6Y45Zn7Yw0Lan2kUjqPbmXnSuSqvhXRpKCohMvvmd8 KMdRlWM5HiacQHEAptGY082MpCtDPnA8qFi2f21cQsVvXa2LrMF8myXr0PxX /JHZ5zSg+aPoJLJli/9xzM/x14tO2+qzXdnBW8aRd2WhUtSVckTisyGzFttk y88WedblIhYpEhnVPMyjbt971IAjSnmEyOQojBCWzqnGjYWxBtQ+RQMmdn5j WilEA221wgESTz7NGNNZLYxbbt1lOyisnWob1/cL/mylDNfa6FbG8c5Xu6uH HXOLxlUesRBVeTlqRWR3GuKknvOaFl4bVJyrG5VauYdylZejDhG5I0Vza76e 3c35urAmrWRXjbtsrz6qyCXh7/A8RbVtzxnKSj2eUfqsUMx51SNb7EQnt5f0 EFWi0qdpuIx0GsV68PzqER1RS23clvVbl/nMRy6Ocmt9aX/NmriedX2r2ail 72L+y3Os6xvUIJZjoe/iCFHqm2vgfiy2n7/UROY6jjye2pKO037VMZT6MGhx E/7nlfqP9FPHkR56HvXW8wP4rIH7ppnY5AazAX/VIjpE5wuz8x4fTjInvc28 DX/VXDrQ9eR8b7P3MrMMf1WPD7huz8f5fKlZSlNU/I3Sga7b80XZ+Tw6jAEv 9GgYHUh31QjzstFstPE3z8lizxdl5ws7rt/X8VuWfCcebW04sMdMNHNGOrCa KvEgNWr6HVx1cf1odw5DkkHHceizFx1vjrdeMxJ50QKzoNqavGIc3+T60eZo EJxmTgPpJrPp7nKkcriZ1wfWwLTs2kzFYtekGo7Matyg3rRrMRPnWjwkO9/a cGY0U5IZ8PdJ88mqB0NIzO9kdrIxvCCK4b3MXkAACfz15vqG7Id29LpPpgs7 c3di2DohlAnxKBFGODqfBZJZOE+0oY6JuTZO4fOzzdmQA45XjZDH1t5jx834 fJK673PWqeZU6IrHmD3LMviczPZvrQxGM24+xue3mFvAzXqzXrjpQdfCSjXB vOxqdhVegAKWeVmW8RLXF6TPxcyL1ER59TWWcfFp9ktYVXSCjmQcmEO917D/ CrMCIweURvDdfM/lakq0sHPWxxeZE0kV6GC1WQ2pqtncAzwOBkDPyAEE3qfY wte5hYvMRbAIWrAaGnMtoEW0ACEI/NJiC6fToUYLHzEfAXw7sx1T98AJGnRW fpGnJdL1TAPG0Dho0JGMfNAKshflPaJ5frG/M5kWLIHjg8xBSHt9psUXNOVo 9yzSbhAtmykoniJSKJeYJaCEIZjyuUXKn/A5NH2KOYUCWighLKSmyPXe06A8 i88hK5DUZ82U0DLsT95JoGcVKc9xfcKO4NFSQkdIGM5jn1GkPJfPoSD0wURO TlgEnDDl04qU50V90tjSc9zCLo7yqUXKKRd14A56KVI+uUh5Pp/DFWySHIko nW53KVJewOfQIpnEU4JvyOk0tHPieRcyBbwk6QuagbLoElE8odjXxY5LW66N OC+HOznKxxcpL3Gage8EnULBEldM+bgi5aV8DhgcPeEWbDjKxxYpL3Nykik8 JTKQZAOm3K5IebnjFjFCucDrFHZ1lI8pUl7hfAepNukzkvNRRcor6TCKDkg9 PExCRpsZyxRX8TmyDiU83xdYttfp8PAi5Z+5Lysc9wV2bYYLFETwF0aCDQq+ jKtti21vcvZK/BFmj7h6aJHyGu6LBiqpEuiuwgoYQaf4G1PAwl5nUIWV4yFF imuZAvbxxQhcWbzXPLhIcR1TgA0YUSjQGcKNLj6oSPEPOvQRuAKHjqkeoEvb FPHsGH2kRi831U10aesi/gbGA+OtB0syfkkRfyPjwbLHI+4Yv1UR/0/GQyle qxgaGP/AxDducjjvGxyi+GxZbPdmxkP3frLn8A8o4v+l4hcX8f9W8eXK4ZYG nm2Gz8Ii/tYG3ul9AePnMr5rPXQ6v+b1FN+LoErFW8Z5yhZFDtruSbbdD2y7 lleatze8xY3o84s8Fe8QjzZnm62/t9Thd6TejqOrh+a18aPekU7uwWu/t8yS 7mR+OAPY5AH7MT9zu/gJs+toDTVZmdB+z2bjtOooemF/sWnP1RUTbXyk94mi tQn3pfX30n0lq5e7mB/ORMQPRgtXrcy5V/jhQ+2TPFJeJy9DtVGDlz7sYysX U/HogM9s5md2aLd7fWmIvkwHnh1TFpR4j+JrnHmbI0E5yLrQEKOeDnLHFdxI 5IM/cMlXOI9W7OcDr9kMKz/SQe5B+BEeVnWxNxr7V8cay3R+zUcOOsidYh7L bckXOMjHOo/vIyptJRfGx75K03ee68dI57m1SsMc0KjWyNg9T+NIWK6QTVF5 uHnViNo++2Xt60ort47n6Kq90LZ0ndWO74MPqYPAv5vxl/FzUhngDZT57lLx 4re+nkRR04Elm/n6FpO66j8qfm6qexszd6p4HkNrP4qg3NaxPP7XdvptKhjg joY95zf8hWx/u9om1zl9TECEX2icIuk2Fb8gtT3Su45dmNodjntrOzaxOY3q t6h4rkBrb3PoTcdydVvb6S4Xmf9ux5L+PB9kv3+peK60a67Q7KirY7dM+YA+ bm7HNvi4qWFvnkHU5JOu/5vUNrdK/Qf9/7Mdm9iD8sKNKn5Jygdygo7dOuUD zn9DOzbwgXgiPq5X8ds0+NCxD2rw8Y92bIOPv6v4B6d8oBMdyzPr2t7g4HL/ uoadGUNVgsQpopty3LVqmzy/r3k+ZSeoHdiQ42y+/ZuKfxi3zfc2bezp2KWM 9WMkfO6admzweTsW/ZXxPOZM+6nX8pOrg80N6bBtakWEbszNYE+rDrPueXjq KbwYZ1z92vVc6ZCrQ+YljHR21OX7W1Kzdj39OeQ6mteXwsiEL8LLhPTtavt4 /WWo80HvLxRJMs+woxjfHYznPPpzlEOef/EKV83Vnx0dhJd5we+c480oH3y/ NYx8yLRXMx/zvf9NQ/ebOf+zTx25DG6zy1URH8pzgkP2U16PDRUfUqPwEOeU zif5hhzLfO+9tre9TYXUfmXgabOesxtm1mPu6I6YZBqMUpRp/mRC5pvuc3J3 d+bHqxxhBoEZjXBTGtUYSzkhqaSuUPHbc9u+skWFrWN5nSbcY0HlsNFjHZQx jcrhcrVNXjVKKocObCPfXabi+RnYJB/pWF73CjkDg/Af27EU23IPxc5iLlXx /GRm7e8fwJA6llfuaj/9gxv+oQPLs9VKPFXH7tTwoUsatmNMMgsg37lYbZN/ S6pOHftExsZV50Xt2IYPXajid2n4UAe2UX3+XsU/idv21Sd8SMfy2nCoPpF0 L2jHNsaH36n4p5gkj8NRdSyvboeZMALg/IatGRPqKZvlfqu2uSu36esdKLsD m8QpzSZ/o+J5HT+JUx37dMbGs8qpdmwyqyQ+fq3i+UmEZDanY3dL+YBhzmvH NmZzv1Lxz0xtjYQbsA7Kz1uEeALT56rtPcv17/MV9f9LFb972j+E1LHLUl9D XP+iHRvi2ubNc1T8s02SN+HzgpU7cPkzYcNfr6PDc1L54KRnMw9cCWzGrsBh VirMW4hhmyd/zvyV67vo+cEZrO/4+aOQj2E34cnWvb7InMm6d4/Ubihwzop5 SGrvmZoD7OH8XeLOxv3PmA87J9L3rd3NOZGbI4ot4jt20r9dTXFBtEbZUTbk mdme3KuvsjCc/DTSRvKk64yuzjEfNELJfWvED43wP2laJtudMBOe+jzmxd8T t1H84ziKnVK7900NOZL3Ynv5UR+GE75mB3tNa1/TMLMfP1sZZpFw8R+ZMDqU M/6wZ2bPb0Q4VRgbjDaivcAkIyuiUce+sBErP2zHhnUY688/8HgHf5HzNWnT +tr31XZfnNoflYiOfYlJMi7S/5ntWKpI/LoRzUC/p+Jf6vj261w08/uuit+b 8V7PdsX2Oyr+Zcy7nx1Bzg5ssq5K+lmv4l9elHWdit8nldXOcr+t4l+Rymqf DDmjYfvlqYwoHc9Q21zekJGe9Dhdxe/bkJF08i0Vz/sik6eOqMr7poqX90n4 ZwOk4K6+oeJlZ2L8FBGtmZ2m4lemOrRr2F9X8funeEhBs8ivqXjZbevjyOaJ r6r4VzPeP10DrRL+Kyqe97P2fa7AbI584MsNHziQcX7WYmd9X1LbZTw9Pekn GviC0y+qFAc5Cp+Y5dnUU1WKVUwBiL/pIex/QaV4jaPwfQjF51WKgxtyiEo/ p1Ic4ii8suRJ08+qFJOpDWBjivPPqPjXMt5XyXJTRvZcFPGrGY9hzscA3Wn4 VMPGhzHnyB8+thDE0M4n1JZ5vzQ9VeufV8IXJJ21KsURzgI+P6AzsPZxlYLf 30LPZNsEJM8V48RiPqZSHsl9QZdeHuFOpziKKQDxHgWVIcF8lCnyHZnTWbUb fN54tJPXBrHI65/Trj5U5OWeqp2OYQ0hJ8bPheM04qrtfS5DrjKP5d+gmPyp e/uk/weYq3xNVnkXy5Cr8zcyLZzHR53sI4h5msb7U4Y8j3mTSGA2JZpDWpRn /GVXm1Trg773ZEjzTuEs7IcQzpBMrU1Pjjgb8C0lQ56LvtnpLtmZAjPbnTfv Yw55NjHIW0aGbNkT+DeYMdkdEvbNvIe541l899tBhhwTb+HfkO5t9hDekGxR NNGld0W8db63Y8i55K3G5l1YMexUwjAlez6qE5k3Xh0f+P0aw8y8bzc212Ho o5TSc7qzdn2n0ceoYc9e3+EiIOEFRkVRQvUjXy+OsMwl7ZMCZdCy7F+k2crb VcoTnfzoI+wIhJPbHYFvUSnfbWxGsTVH3CfNaE/wlI7wvUwBfoAgLv3uQ3BN 9frxal8nOy+y3fUjSurrjSrl+51mUMxROcWUtezPRMRA8DeotB90/KJmINpR pxvoivg9UqX8cNQr8cuUNWSW7dmIy8NVWq6jaCcrZEV+Bquyd1Z2vyJscOlQ lZprRNo7i54j6j50JX3zSt9F8h6aYgufdi1gkEUqBiHv/qWd1jgV7mn2s1Jt get+mn2iL9kBTJ7Fu5RHIUW8RR3dlHcR0+HLrh3Zi4zeKfnOdVEhu93tXmx0 Zfl6gdoez0+pDgUSJoTvyOsOeCd5jYiTveX44zZrYVH+dm948zrnk/bNHSNu T7gdIRZzq/7NGvirI06ZInu/xg4q5xv4N3kXAN07HvFvAfBlULUNDturLfAq UC17x2UTO71JoOrLHnb5o5jcorUVWqOu/fsj4F/LZBGpvO/T2M/8//Gr4eL/ Ajf3xav3FQ3ekyuVoVd5SinUSfIekam1UQk243VO4ObeXIkMXERrj37db6bm jMVe/YrnsGYM/ckQA3Pj3jz1QLOkzZw9ZfZ1+7JCLT0a/O2e4cN7Pb2izD2b N9qYdczIbC3nwm0F889Gz+h8LO8953VmZ1yN3v0dD84L98CcqsGBm/wwsOr7 NUppSXluf/PnUaH/+0e9e/vq/Tr6/9GgO5vu++7v3bNox8ekH4e2iFNQ+hq3 wndpY3ZU9XmIQ0TvhgvZKQzBHif5KmREm/tcXpV25ujtEGUvy5cyvifcMXvy e5Qxo1auYN3IM0ZCuTZ726ffpTLRrR/GbZU8LxSKrGwYS4gn0yGF2pIRxcss bS/MdiG0tdQybnkOq/BWz7TGyZ+6IqqNrCsegHy/PBotbhbuLVoyEXMyco8l 13yVEPHd0HRevyTvbk1crfne2FHxh7QgxZeJyCcJF8nc8yihXhStWgwgrmOz IK2XwErbMGiQ1vdp38wYNOOI8jc1jCrWFUn975mkzjYiaWTaASUlsKvw1LwQ XmmbSJq/Z5FnqmNFuuTtDyGHeC+qxibdSpzjrDeZvvuPDpcncnutLYosMV0L 9zLLjfvck1HWEZo0zvfXZxfR1pfzdzj2cq+JsER61VCkc/0V/NdMrU2yTKtV nZxRPazRNuYKjjafD8W8XF324fmD+3A07jSW+xLMREzcxKu+rNOlfr1FnPea uDiRR7Hgcxxd3Oi1keSu2sYo045OujdMO7a7x3iZl8TDaRyNrTkLHE5JY3ZP Wt5KsUrpx1UKLsn8KZpDO020xLcftYiKLTPROWpV2xRlykadOrc/feQ9IAPV FWPF216NvvN6IMyBQw6nD/9e1mP+Dvlw/07cwe8bXGf7nJ3xMCc7d1VcmoFD FZfy5M66a9Vq1n8BwWmzNw==\ \>"],ExpressionUUID->"70df768f-5063-4a23-91e7-ecb03ee903e2"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"yopt1Plot", ",", "dataPlot"}], "]"}]], "Input", CellChangeTimes->{{3.795220145317143*^9, 3.795220151595256*^9}, { 3.7952206597096004`*^9, 3.7952206630585136`*^9}, 3.795221122144466*^9}, CellLabel->"In[16]:=",ExpressionUUID->"eb959f69-2aa8-4d36-8052-5ca7b17aad9c"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nc81e/7B3CbyF4h2Xvv3Xmd4zgnyspISkalyAqVhpJRihRfMkr6SIqM c6RBVkgqRSihJEoi2SMjv/P7630/H/f1vh7Xfd33437ccn6hOw+yMDEx1TAz Mf3/169YOadInLY1h/2tLRPTFCEkrVCT6cIVwtgB34J5gSlClxrTu/qEXAJx l8viqtwU4cJ8ya28hFKCac6FTiJ5iuC9h/Xi1YRagmGVaFThpSnCjhTt0xcT 3hLgFpL2W3ya0KhCPhaX8IVwtbp0dIk0Q2ibrwsrPzpAeKD75bmL+wzhQ5NZ UL/XV0LhIS3ppoAZwlx5Jl3ixiDhUY4K/eu1GQLXjiv3j0YMEeyfuVQKDc4Q dOKjrsspjhDS37fkR8TOEqLnHMLPJ0wQrn+y/vG8Z44Q75NheoH9D0Ew8lHu o8k5QnJb/7/LCX8IT2/E9DVzzhNuFhxOSk+YJLDO3fM2Np0n7FMndnY1ThHY brSLBuTME6L7PMdHGmcILKM7MtUOLBBqzFOkeZsWCCkSqiPMfEuEhjB6DD/r IqFdkGZUqLZEaC7sHha0XiSYpbNSAm2WCG1CUsViTYsEh342i53RS4T+sXvG sk1LhNljB6Lv/lkiLOc8dzRoWiZYZE0on+r5SzBbmTu/u+kfQZ8uKz/euELg uKO5Lr3+j3D3QZf8w8EVQrfdgTND5usE/ywu4Rv/VghhOV3Hj1SsE3asrdq9 MV8ldG3ufVTnxITaKItBWuUqYUPNk+IOAjN8zt93KS9bIxxbjkyfk2bF/jSd zuM164S97wS6PlqwQvf617HzA+sEUn6JYNVuVmjfYW/0YGKCgN33lOgMVpzy Nwysl2fCg2yXSxy8bEjoMZU5cpgJ30z1z25aZUNm4/lC+0Um2J+YPGTZx4H+ 7ZF/2xVYkKy3LSNxkQNqwy0qw8YsaBu/3dgtwglt/71+3HYs2OGzUzrYkRP+ tllOGWEssLN91JnbzAmao+KBvDoWUKROW62XcYFLn07N3MeKrfUcwo1x3FjP e1tFL2PD2ZPe4PuPG5dyZqfCmtlQa/A02LOOGy+ZI1iofWywvB/QOrPEjbD5 SyKmHOwwT22LVgjhgdjPyRxdb3YY708bjffYCPYh7YfXRDmgzbmljqrFB5mo Hwl16ZwoY8nO5bfnw8rcw5sF5Yy6/wlH9wTxwV/RxKvoNSd05jdYHirhw30J xUP8zFzQHZ6vuqDBj7tcr046h3Ih++tI35CIADKfWS21OW/AjWd1H+WEBRF3 akdbgQ4P9pqdaWFXEITa87vdhQ482PzE7PEvfUGcJLIatgXz4GZFZQZ9pyDO 13dnnS9huKjYlZgmiKKQzUE3NDYiN/N6p4+gEPzCBfeW6/IiLyLkXR6/MC6Z lFrH7eJHJy+dHLlFGCJSd2u+RPGD7f5s9TYtYSjM8pfsyeFH4Oeoe9N2wsgR mItv/MIPQ5u4GOsLwvDIcFOQNRBAq1iW/s9VYdTl64zw1Qtgqur5de0xEUR7 Ctda/BCEvCsbL+tfETRGBh6gLAnC7Q8lrodTFMX3/WwP8gihWr4tNEZJFJ+k deUH9YQQn/RxW6ePKKo38oe0nRPCJq/x5WM9ojj6Q4SeJiMMMIl61zaLQS+2 rSMyVATCzw6XtXeL4Rox5xr7RRGMHKtZ+/ZdDGMLysfot0SQPL7/Jge7OKaZ /dX2vBNBz8eKXkcbcby7VUb7qy2KkFIn16EX4mivtLc+Ny+KXM9kW86Xm2D8 3SkgPUscYaKDWRI9m2CYHrzc+lAcpA6DUY2fm6C+rXpgc7s4Rm36LzhxSuD2 z0ldBQ5GnJ56czZVAqdkVOdLj21CG2frVs1WCZR+ZXb+7CmB5UpWQ+dXkhhm OfD63lYp/B16dGpTryTkd/U8PuMlhSWBw8+/jkoiwSf/ZOQZKSwGtTmEcEnB ocJP5m21FOYUMwKSqFJ4XKZKVDHbjMl05bwXL6SQO3BUOt9SGt8jbbnNGzfj x/Se/A/eMhjOX3Fi7tyM3//rbXeNk8FQR2lm67fNeHTLXmS1UAbfNIWUdjFL Y+jy8+tNf2Qw8L2PEAlp+P5pqpOGLD65Bh0rY4yMs0xKTn+QxVvDq4Pyz7bg yA4+uRMC8th6rqW079UWhPxISElQkAft1dqptE9bcBRdPPeN5ZG+L0iUZWEL NLNULqt5ycMz0dbum64MyMN8o7IP5DHaz1qZx6gjzTaVbc5OAeeJNdZ8trLo PMe9/WWOIqpHdqkHOsmiNUVbNZamiJmkWYGWXbJ41+Ix5NKiiAMf1Qei/WUh 6HbL3nJGEduOZEdNxMliW2VUgcJ2JfBlHC9tq5NFe2Hua19mZdwc1RVPMpRD Yas6s32MCpS2uI0lWMqhsqVaVPOGCspcTtbGkOXw483SO7XHKmioe77/uKsc AmJLq8//VsH39J0030g5OH7ssL/nqQpNYqStaaUcngqu3xi1VENt9pPTPwzk kbM1adVGUgOU9n6HQQt5/OIS5oaZBjrYmOT7reURm394v5eHBoZCt7V2uMhD Tu9yNkumBjgovSI1EfK4m9YZvSKqCYeZ5dK0h/LIfijD+0ZSCwN2WwcJBgoY ILsIcBN1cJvv7kKFuQJWy+ljXn468Ovk4VUmKWBCrUX7Q5wOfu7uNdvorAAl 9qJL2i91MHU48n+fQhSwxMfi1qqiC5aLxZSjxQpYZuPiznmoC6UmsdJ8OUW8 lpoZTejVw+iF6CZRNUWIhYsqJ//WQ7Hd995EXUVcD1xLL1zXg3YnnSOUoIig CUuvTcr6MP62w8fCSxF0d4up6Qh9bFuPFe7OUkSHTJHONWEDBFlMnmQXUMKb 3c7WYvsN0WzKvtFFXAnTSYI8PlGGkDaWunV7ixJGmoxn668Y4p0utdFCSwnO Or/ONT41hK5yHne4nRJSXl3i+8BvhFkBxxsD8UoIPuIQSG40wqmRsponf5Uw 083hPGdqgs7hZgd2xr5/Y5EW0XU2gca3vsGdXMoY1lj8Fx9ggs/9HOx/xJSh 433o4akcE1i932evaKgMlbC/YVlrJmCq4Ru4FqKMPTsj9le2muJiash6wLAy hoQudGpGmENXhves+7gy9uc+UpZKNcenkgerpFlluIjlKmmUm0O9dfSvFKsK iEL7qmjj5mj75zf3Vl4FPvxinu7+FhAI2vVLz08F8YbMwlp+lsihoOvvoArY mPb/J31sK0jdA84joyqo9taaTM7cinHf6I7OKRUk5Z0Yka/eCsvo6rcPmFRx ZXbsTNP6Vnx9aNjqJasKATlm1s/JBCjKqdU+91aF/Ybo4G27gLIVwXuXBlTB OvfD704iEdfEZw//+aGK3MpNi5tvEBFu0K3uMqEKywyu/qJSIoyOXC/bvKoK bv/8b2udRNT0ST4ul1CD9de7kqlbSHhTpfDig6sajvcPsh2vImH0hNGw3Bs1 GDQMGbb9s8br/4ndvdCphmrxD409wmSUlC/6j/eq4WXOTeu/qmSE/qwaqxxV Q7DqrRNnXchYcN86Q+VQB2H/mEJ6ERlsxlTmEKI65AyNHjB52kBuzkOm+ok6 7qcpisS3UbDzduPb2np1BH/QPXduhIL4HZpnnr9Ux6mVZJMsJipGC9Y/tfao oy3ssaC8ERU0t8K0nkV1cHzsXsvJowJPZtnnTTRgGiPyZOupbfA5lfJb56kG hH9uYLKi2iFNeSnHoEEDnLXvDyoctENzp6+tSasGvIlhhzXi7KCqYVS49ZMG 9l1v6rldb4ep/n5v+yUNuLNohCmZb0eMlVpXoKkmNvXUpT022oHbTM1Vd59q 4lVYsuSGbQ44PPJ5OK5BE8d8bZXaAhyg2zbP69eqiWd9HI6VSQ54nqnit+WT JmKjyLfm2h0wpJ3EnbmoCVv1N0lmno5Q8Nq5J9FYCypB94RXzZ1QWDW4Glip hYMxuicfH3RGSN5fZdsaLajL6w0JnnSGcYKQs0qzFvYv/TgTm+yMFify3eEu LWjQyf/deeiMnz/v2e+d1YKZTJbMKMtOqIqF3rLX18bTAwsbUu7uxIPwNYIu TRs8yydXZ1ZcUDLiUXrhiTZkdE3d8gVcUeZZKfmlThuF/sEV/kquoJGOzF96 q43eJ1Ft2o6ueCzUWzw8pg3Fk3WNdXdc0VhRKZqppAOL14eEppzc8GnmyPha jg6ue69Oa9e4o8//pYdrvg4eSq4L3O9yR3+ffEtxkQ6c173GTMfdMdDYe3vX Ux0M6bCq5kvuwnAa1Z3+QQeBR4XcM07twonsVB99Ll1kkTqWhAgeiDULfvOD pIv468mBwv278cDCO2qQoosPbG9TZxd3o9vKWanfThc/vAIMZkU8oUQyOtex UxedhnqHnR090Wq3pv/MTxcHv4zpXHnhCb69V3KuxepC4GaMp8zTPcg5Wxpg 0aiLAHHzqNzHXmiKyRMzbtGF0D4fr7IeL/yOTW3Sfa2LM66beIaXvGB18Zi0 cqcu/i2b7nxqsQ+DV63eCwzpImSDWrpY0z4o//fWdIRZDyxbAqMaP3njYdME ZypRDwnO2+OPCvhiaeP5j1QbPRiOfPssLu+Lre4id/9tY9zbMbFD7Qa+aB01 JwU56eEpx5TxsV2+GOBNPEP11oPQjsoP1/N8scFDfnrtjB6+NJPyyAZ+8P7t 3hf4VA+c57Y+ajy8HwVGY/flavQwXxdRUH9mP8bORp/4VK+HRGXJwI5r+xEp WCBCeamHiWnv51pV+3HZeNpB7qMePpyl5PVyH8CjmKSmnlk9XM8NAkfFAfCI NpSQdfTx677eFhMBf0QVZk7bGejjQ/Lmpieq/hgxCTV2NtHH3xN+0TuJ/mjw 3NLgRdDHTy2JzI/h/jh++0zXcUd9ONpxqmzu8ceQhtny/VB96JrGGj0sOIRq UgWVl6YPt+jFjlbXAKh2X0oWrtTHZLjT2bqwAGQc9H0v8VQfz7NfX3mfHICw RIE9yg368FO/T3R6EQDldyEhhA59aMy0cDw0CUTabo2Mo1P6CHhYmqosfwQB YQVDH3QNEDUo+O4KXzDyb7kcfGVoAFb+C2PvtYLR18YyWmNqgDTVw+1G9sHY oeY7cQcGUEp7ut8rORjaQ9JLR50M4PBnoVN7YwhmXDJ5+cIMUOa4/H1WMBSn TS6bUsoNsHLw/LGAG2G48i805bGWIa7b7qi3WAjHUESDvr+eIXzSnSVmuCJg +kugR9TIECIvxq9WSUVgqIsuc8zSENuVWjjOECNgXDRLM9huiPmnPhc7rkRg 0OVEF+2wIWiZg+QmtUjoF53d9OCOIdbCOXk1Q4+hx+VKfp6EES7a/lT6qx8F V0H52lvSRvhflHC6x44odL573JMrZwSLvm7BjoNRaLMd3HhTzQg1OayxnNlR eE4wOJFlZoTjN9q35DCdxAON3u2pu42wbiB7w6v7JM6xKs3HZhuhxS9E71PK aag8rKH6Sxjj/Zf16SMu59DwZCZOTtoYrw/uu2V29Bw8a1QbPssaY0PgSW7Z q+eQ8iLd1EXVGCzI9TB5cw4LPUFqMDFGMVnn7jb5GDSvbuaRdDOGwN4i7fXc GPhRot+9vWYMyoVz9rx555Hba+VmxGUCMwWVtyKv4sByenv7Fx4TPGulBo33 xcF/827bC/wmeHG4PrL9dxx0vSOtesRMINT57GO9QDyavxcrnVQygcGOm2Gk 3fH4PSm+UEMyQW3B6NGu3/Gw5Ji5To42Qc7XohbKlgvo0y/85DJjgk3/0YwO PUjEoc1LrdsXTEAd2H4tuTERc+x2VdbLJtgh+WS6sTcRfL0T2QYsprga3d3j x3UJpHNGe4SFTFES5pMR6n8JD940f+nUM0VYiXB9vdJlnDkwPOR81BTEA3cD HOhJkL4uO+E4ZQqOgFGJ2NUUXGj4HeD6xQxN1Ytm+ybSMD/3+oTxgDm+6Hv4 hCtlQn3vtZVDfRZIlkp0Cq+8gYTL937+98ISRnPM7l6StzHS2HGgqtkKb533 PVrNzEdI43a73oqtUHz1yJ38rQA1c6V3t90kYMn9T3gEyz0kbhJ89XoHMG2+ +2CXbBFsJCMj5huB9psVPOJDxWCX8xnhsyaiLKq65ltCCcoiV/dOkIk4vumJ 1pmkEni0ZnW9oRCxZVjzvVBqCYpD3zck2jHeKaeNKgxvlsCpjnSDZScRVa9c p+wqSpCzR8lpwYcI59TrbI1fSqBzfazqy1kiIlozIwb1SrGb59iVkmoiklMr 9MTbS3FYay3/fA0RVwUEucu6SnHcMeGpex0Rh57uOUX8VIr0/2UMMzUSEfry ncq+b6XokHps5vaKiNtJ1n0hs6WgaC7+WOshYvjvYtMfsTIY2p/c6jhPxJ4Y E+PwPWUQuBo9Oa1DwkzhhpJPfWUw+KDS8EePBKdoib0zA2Vwl+q8Nm5AQgLH hxNcw2W4eU9Z/4cJCZbyUctq42VQaWiP/EQgQfrMy4OklTJsnZZbrnMk4cVy fP5ryXIEu7SwJYeS8KinxIm6qxyvxfkllctJYB703Hu4pRynmS+vMNFJ+DNh 0XzsVTk0x9m+9FeQ8PrkfFxMWzmu1i3npT4m4ezGWcGUznK4HhxRWqsloWGv VPalgXJ8qajV624jYWryZz/rQjmm7INsY8dI6H9eX5koSMN/Jj/VvX6TEHeK mDkiRMNOOb+Npn9IMHRLIVqL0PBoblf7xDQJPBJrU0tiNJy6Ye22+y8Jtf0O XW6baWD7Jemry2UN31Q1/4/KNIjHv4oaULLG1Vjd2iVzGj6n+ot+U7GGWKyo 53ZLGvLzWCuG1awxmeR//6YVDZrPrMZHtazxkvOKlwVoIM7QvWaNrKEdnkUN sKHhiE8OiYtiDebQlxyJjjTUWx7ZqO9vDZ755jOf/GiIt+MqMjxsDY/wRw6s B2iw87hrYxJojb87t89qHqShO+LrWcsQa6SFhT09c4iGX8Uu05Tj1lAMfuHA F0SDsITlxz0XrJGso5q0HEnDofmNtxMKrXFCv0LxXwINae8z+s/et4b7M7dg pos01JRuEY8qtsbBrDI6cyINQv66KYFl1uDOFtZjvkxD3UeXM46PrfHEIkNh 7goNIk9zPCRaGP3Zvzm3OIOGhlOqgqU/rNF+eNOcdwEN4+70HYU/rfHr1eoB 67s0iBmYJ+b9ssbpgwYTSoWM9Y9vX0+dYPQv9Cdl9B5jfm/oxPF5a3hlRxv7 PaAh2OrxK7CTkbKmX6tRQYMkEzm2W5GMb6fesEjV09B1LvfdA2UyLJ5fvPiB 4eT1Bck4xju9qubXrqsNNPz7V/RQT5MMezbxAaZGGobX+H+kGJBRw2Gb2t9M Q8lKP9WWREaYGVEq7DUNVosRvHXeZNzhTf4l8YGGheNvd2f4kjFgEshbzzBt QbkwaD8ZBR4jV/d/pEF+oXer1CEyXrCuVhT30MAxTwiLCiHj+Kd95/X6aHg3 w9OlH02G7ednz+S+0uDz507WvRwydn07dOLaKA1aaTK3C2+SsXKR95X2LxqW jW7cu3uLjAQm/6NtDKdHpz2+k0/GtT0drezjNLzaeL47r5iMzunOgrAJGvQ1 9glkVZMRXM6drzLDOK+HNyUm9pFRZPZ3k8wKDe950q9e/ExGmnvTmSKGb5Xz Z14YIOOEPWm7wSoNposchfFDZLx98UzdZo3R7wvzTTFjZGgscrP5rdPwsaBz PWqZjAOXvvwXw0pH0bfkEwGSNgji/h3txkMHm1rvVcpmGzz59ti5hWGfMKX7 CltssFi0VmG8kQ6x9dpPX+RsUJjyREaMl474zZNmO9VsQH7RVdrOx4jf5bxq bmoDg2zjFS0hOsTfip7f6G6D+82aljmb6AgX8cv+tcsGbmsbUtYYfrenjN6y 2wZvv0ad8pFg5BujDMV42SCcJVNRSZKOGc4o6/kDNjh3NLW1SIoRT+pjH4iw QeZ7u4LbW+hIeHrrcnmqDagFvQSqIh2Udx+Jcf+zQVeJ28hNhjm+8/11z7DB x5Rs4xmGE/nPHfqXZYMw9ZYPN5ToSPb3JtvftsH1qnrxcWU60kVk/42V2WDb r5Lpk2p0FIT9d1S5zQadN+LU92jTcfBCr+ryWxt408QKCxlWvik4+LbdBpPb XT5MM3z/5XmHY102eCY263hRh46SLX4azX020Lf6XlumS0dlm/wP31828HIP qpnUp6NZtcAjl4OCQJlCI0sTOrL9/r3O4qJgMOO6azzDITc9rNK5KeD3EVVs Y3iTAK98Eh8FXEaCHz1N6QhaPDYeJUbBIbLx1UgzOkRaqGddlSm46dRyK9uC Ue/+8Ts8FAqMRsr8Swh0mOfaiHFuoyA6Md9onGGBnrxEFjsKhLTk69VAR7Wd a/BfewrmTk6xFDLMp19r/NONAs6jP9xuEOl4zHT1VeNBCtanNgectGb095b+ 5MkECiplhYzYqXQEnPYKd7lIwYOsLnNThts8Euc1L1FA2N3Ac4Th/wkPrHxN puB16DR/B8Oyly5xUdIpKOg6ey9zGx0WkYNyQncomMzgIErb0RFml+Ja3EBB XcP/zrPa09GtUtUT10gB86UUJ12GTdi/e3o1U9ATwDq9l+F/9Wa+Aq2M9VRv uveI4SSjH8HH2ynI8RWZOOBAR6Gs5UXSAAWpdzu4njnS0b/wq6pvhQKlOatq yk7GfskMOYyvUWB2ye+/cIbPbusbXlmnIP9xotsthmVzXvNKs1Hx9myj0jzD /lYPfL03UuFsZx5024WO6bigDd83U6HHP9g44UoHp+Ckx4QVFTXG18QP7qLj k9nPiTUCFV/11rmTGC72+xrLR6JC9gyhk8bwjsr2Eh0KI3/sv88rDKftojGF O1Dxjz47etWDDulbR+8v7KPCMGaSnbabjj8tAVacvlSsfn1m38Vww6Rvp/h+ KqLSA4MWGPYj7lw1PUTF+R4NHUtPxvn8ru90OpQKtW17218wfIpX40fSUSqS yXu6fjK83Vjh1M0Ixv+rtPINexj5LwoX1J6g4tay2MwOhutpPGbvTlKhNHne I4Tha72s7wZOU2GxupR5lWE/llW/yWgqgpfv02gMG2jMLa6fo4L5Wl3+e4b/ D2LhfFU= "]]}, Annotation[#, "Charting`Private`Tag$1871#1"]& ]}, {}}, {{{}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJxV0j9LAnEAxvEfTQ0NDg4NDVccIRFHmpWV6WVaQxAoNLVUEORikTW5nEPQ IHGIEESQIiEVkf9eQC+gtffg0NBLqHi+yx0cH7483PHjuOnjs8LJmDHG+bv/ 1fWTDmpcYeE4zmMI1zGMGZyUXo6eoneD73Xz9Az7Pm2zH9Cz0jqiI1jEOdks Bc/pl2mHvqIXZLdCR+V5lY7J0DW9yPM3dFxGavSSHN3Sy/LTp1fkZZ1OyEaD XpUTd/SatO9pvrP9QCc53yO9IU+bdErWW3RafrRpV3pPSCc77Jsy+8xO+y/s GWm9stPftNmSe2/s9OE7e1ZedNnpHm34b8o9djrWZ9+WX7RHewP2HekM3V81 3VBC "]]}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6], PointBox[{{25., 1475.}, {25., 1475.}}]}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.795220152029117*^9, 3.7952202299517813`*^9, 3.7952205518488293`*^9, 3.795220664351946*^9, 3.7952211310618315`*^9, 3.7952829301662846`*^9, 3.795310079369339*^9, 3.7953439784529753`*^9, {3.795365593507859*^9, 3.79536561092979*^9}, 3.7953657913457437`*^9, 3.7953660990950847`*^9, 3.795366129759418*^9, 3.795366858514785*^9, 3.7953670756677504`*^9, 3.795367458774763*^9, 3.7953684930358534`*^9, 3.795368637383998*^9, 3.7953700162719684`*^9, 3.7953988982816277`*^9, 3.795563132028031*^9, 3.7955645775029817`*^9, 3.7956597284372773`*^9, 3.7957384688061028`*^9, 3.795821591795548*^9, 3.7959102857630796`*^9, 3.796081940892413*^9, 3.7961608924217625`*^9, 3.7962099818533287`*^9, 3.796341585702555*^9, 3.7965723029591017`*^9, {3.796600396612835*^9, 3.796600425275983*^9}, 3.79660046235853*^9, 3.796602159083809*^9, {3.7966776032635293`*^9, 3.796677628139845*^9}, 3.7966799566094313`*^9}, CellLabel->"Out[16]=",ExpressionUUID->"479a8299-f169-4b74-9b85-45af97e66c4d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"SSE", "[", RowBox[{"r", ",", "KK"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", "0.2", ",", ".4"}], "}"}], ",", RowBox[{"{", RowBox[{"KK", ",", "1500", ",", "6000"}], "}"}], ",", RowBox[{"ContourShading", "\[Rule]", "False"}], ",", RowBox[{"Contours", "\[Rule]", "100"}]}], "]"}]], "Input", CellChangeTimes->{{3.795050772487382*^9, 3.7950508223542547`*^9}, { 3.7950508920130525`*^9, 3.795050906836573*^9}, {3.7952205743173428`*^9, 3.7952205756291895`*^9}, {3.795220682629723*^9, 3.7952207040500584`*^9}, { 3.795910310140333*^9, 3.7959103190147104`*^9}}, CellLabel->"In[17]:=",ExpressionUUID->"4adc4653-18be-44f1-a933-ee4239f372bd"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxsnXd83lX1x4siMmRWCgUq0B+jrMoQqjL6qGyLDNnIkl1lTwXKXgqIIG0p aUkIadN0pWnaClhAdke6myZCgSKCCFUoq0qV3/c837zvOZ8b8k9en9e93/vc ee65Z27784uPOecrPXr0WHJOjx72f8RD9jdzYA/7u2RY5dVpF74y7cLZCX9r 8Q/6LP5BW8JnfLjp6R9uOi/ho79+5VFfv3J+wiut+PQFCT+w3WH3b3fYwoS/ s5f9LUp4iTXfZ3HCVx1lDS5JeDNr7kPHf7TuvdKe8EnXvXDCdS8sTfg/v5m0 6jeTOhIux9eZ4ZkDq+O8siaNF8x4wYwXzHjBjBfMeMGMF8x4wYwXzHjBjBfM eMGMF8x4FXeNd0atjrfAMt4Cy3gLLOMtsIy3wDLeAst4CyzjLbCMt8Ay3gLL eAss4y2wjLfAMt6EZw48vOjV/ZX6NF4w4wUzXjDjBTNeMOMFM14w4wUzXjDj BTNeMOMFM14w41U8c2C1neca0njBjBfMeMGMF8x4wYwXzHjBjBfMeMGMF8x4 wYwXzHjBjFfxzIE7WLcObkzjBTNeMOMFM14w4wUzXjDjBTNeMOMFM14w4wUz XjDjBTNexTMH/sH6NbMpjRfMeMGMF8x4wYwXzHjBjBfMeMGMF8x4wYwXzHjB jBfMeBXPHGh3U49BE9J4wYwXzHjBjBfMeMGMF8x4wYwXzHjBjBfMeMGMF8x4 wYxX8cyBl1gzcyel8YIZL5jxghkvmPGCGS+Y8YIZL5jxghkvmPGCGS+Y8YIZ r+KZAy823G9yGi+Y8YIZL5jxghkvmPGCGS+Y8YIZL5jxghkvmPGCGS+Y8Sru oleDW5ReFVjoVYGFXhVY6FWBhV4VWOhVgYVeFVjoVYGFXhVY6FWBhV4VWOhV gYVeFVjoVcIzBy6zcY6bksYLZrxgxgtmvGDGC2a8YMYLZrxgxgtmvGDGC2a8 YMYLZryKu+jzilalzwUW+lxgoc8FFvpcYKHPBRb6XGChzwUW+lxgoc8FFvpc YKHPBRb6XGChzwUW+pzwzIE/Nv6j/7Q0XjDjBTNeMOMFM14w4wUzXjDjBTNe MOMFM14w4wUzXjDjVcz7aHr2PpqevY+mZ++j6dn7aHr2PpqevY+mZ++j6dn7 aHr2PpqevY+mZ++j6dn7aHr2PpqevY+mV6p85XadAy+yZlY+VFnbun9UFz+6 alSl6ZbvN97y/Y6Ezz/X/toHVsfxRV3lxRPsB5cMXMPau/mxSpUu3N91Hu8Y W7nVPm/sWs91x1fe2uWpN3d5qmt/39lc+WF1uF339XpTKo9u8I/aDf7Rdb/d M7Wyr31+y6zUP9YHTP/AjBdMf+m/8N8FFv67wMwHmPExXuYfzHyBGT/zwfqB 6U8+X9X7Y80x6ffAzB/zKfSuwNQH038w8838y/kqML8P5vt8vR63ebtnYuoP mPVjPYV+FZj6+XpXf2fm5NQ+mPVnPwg/V2Dq5/uluq6DWlP74Oo+7+H7Sfin AlMfTP3qvMybltoHU875oTw/T9QHU85+zuUX+f7M91u+n9gfct8V6y33Vdgv rKfQu7AfWE+5b8J6sj7CT4f1Yb6FHw3zzXwI/1Bgm73aDWYNnG7fTx5eqU7P 9+dXx//Y1tDPzoQ5b7z/5XwX72POQ/6ehB7oegxLWOU/XfSzT22iL5RXx92j o1yf6SMrx1TH5/iZN22Dtpe/98ijXfdFl7yjb0M6b7z3wLyH5LwEzPuB/Q9/ DYb/ZD/Dn4HhX9iv3O/g/P5jPZpX2Qb1+Sj3q6/PRtUF9PFW/0/z8c6dY39d 8pGGMZW77fNVXfSh/6Su9S/lDSt6t3StR9n/mTXOL/F7rCeY/cN6sh9UvtUl bzitLvUXLPKJ0/w+Yz+xntX5XF6fxgcWfrrArKfKY7r4sbNHp/kAC/9WYKFv 6T28aOBr9v/9CWn+wJxXMOvNftiveqBKed0+v5qc5hsc5XmG2Q/K75b0epPV U9L6gKO8zDD0Ufmtkj6vGDItnW9wlEfFcuWfOrth9mfZ346B29swvvNwmt/q /L3TWBli1/sJXevRr6myq03vm13v4QvGpfmtrtu48Wl+q/tvQHOaP2vvxo7m NH+2Xo890ZLmx9o75RSfn2r9/aem8dv67POaY8bDflN51pJ0XqBPKs/pTOOB Pqg8YVE6X+wn6AHj4bzJ/Z34fT9/0NucP4QeQh+gf5wv7i/OC/cX68P9xfhy rPK6zrSerA/3FevB/cT8cx+xn7hvoOf0T+h7QS8YH/0VfrigB9AX+gvOzzvl Is/s15TWh/6zHvSf+af/0B/ok/xegfk96I/sp+UuX2a8rBffg3N5PONnPWkP nMu3GS/rDT0DMz/cl9wn/D73B+1zf/A950Hoc4HZH5xncH5/0j+RBxUY+kB/ OQ+sD/QxXy/oLfSS9RP9QVhP6Cv0kfUVefyg1kQfoKdPV9d/btq/Ii8qcDl/ 8xL95Pyw3vCXYOaf9Wf/s97sFzDrw/pzHpg/kZcVmPVjPrkPmT/mHww9hl6x Xsyf6FsKzPmHfkHfmD/RXxQY+gA94/fy+zS/H/W+c30T900+f5wH+MN8vlQf s7Tb/HDfsx/pn+zfJD9dlPrL+LmvIz2x/vP78Eesr76n/T4VelHQc9E/Fe8T 9kOur2I+In9m+03kicV8MJ5cX8J8iDw10E/ov7zXivtO3mdBHpqft1y+lp8v 7uPrq/M/J80P5WDaA/P7YPoHZn3AjB/M+oOhb7n8Asz8w+9wnsHQPzDvTdaP 8YEZH5jxgYW+FVje7wWW93uB5fwWmPHl8hQw9IL7QPi9AtN/9hP9B9N/MP0H 038w/QfTfzD9z+U5OT/DfcX8g+kv9JP+gukvmP6C6S+Y/oLpL5j+5vwV96fc 7wWGnlGf/nLe6C+Y/oLpL5j+guX9UWB5nxYY+sv9Df2knPWnnP4hz6B/YPoH pn9gec8UWN7DQT4Gpn/wa8wnmPNIfeiryuNK/nXmNU2p/8hb6D+Y/oPl/VRg eZ8XmP6D43vF3i/0H0x/qU9/wcw/mP5yP9NfMP0F018w/c35c+53zj/l9A9M /8D0D8z+BdNf5FX0F0x/wXIfFFjkIXf6+473nshninL6D6b/YPoPpv9gec8V WOhzwd8IfS6w0OeZfp992XvH+CGht0W50NsCi7yswPK+KbDwM6n9zoTpL/I/ +gumv2D6C2Z+eS+LfKsoF36owPQfTP/B9B9M/8H0H0z/4Q/pP5j+f9n70fhH +ku5yHsKLPLHAst7bVCr8oMFpr9g+gumv8hT6S+Y/oLpL/IG9gdY5IdFfZEf FJjxgBkPmPGAGQ+Y8YAZT67P4f3CeMAlPzA3yfeq7OMJ5X5feMh0lW8W9UW+ UWDhLwss8tYCy/u4wIwHzHhyeYF+35n6w3sA/hn+Hv6Z9wD8TMmfl783cyL8 cklPHtvjscT/w+/C7/O+hb9HPsX7EnkUvwf/B38OFn1hn1rVF/bx9w39j/J3 w5RTn/c//A/jB4v9X8F/IM8AM159z5f19znO+QXmQ+zP+jUl+QflYg9R3H/M H/cbv8d8gvP6zC+Y+yDKZ4zegqEvrA/rwXse+sH5RD7I+5/zSTnnJbZv9Xnv cz7A1fUo3i+R/7Vy0f/2cfkO6yP2mH0b1H4xyFdyfRLzxfzl+iTue5FHBn0S 8xfv26hPYr7K895lz7rR8Ep1ufs4PZD3bZ9apa9BXsZ45bwHeRnjl/s9vEc5 P9Azzjs4L+e8QD8oF/ljUS73dTHfcv+906j3Sy7vLfav0LtiPcDID6I8N+qD uH/je87ew/BD7Mdy/crzfMqFtV398fmHnll3bzzy0S567Jjy6nn+4NFE76rt LeR945jyan8uxz50caIHZf8cl+e/fG88fEWr2PNa/6L8wjD9g/7y+9Bf4feK 9S/Xs6QvN7aOTr8PjvaChrmPmP9yPy4aOMjGs//ELvromPMCju9tWw/oge73 kv9YcfL41D/mI95Pm3SM1ftj7qT0fbW/QybJfWL7I8rT7HyW93H5ftvyhy1y 35g8Jd7Hdl7L3/f1KN/L5Xvr0+db03uU8yP2E0F/wPpE+YDtpyhftvWK73Hb P/H9G+ejut8HjE33I/QBDH3gfEJPhD8r6nO/QT/A0A/RlxTtCT+x3PWJ7C/R Vxbfy3uiKI/64zge6IHI84rf47xW13+DOrWv7+vyR97/nM/qet9Xn85fdf57 jk7tcX7F3r1hjOgH7X0Q9X3Gv3I/wT+J/uo05C1L0+/ze2Duf957vHf5vXJ8 pTzkmQ8niz7Zfr9X9X7z/cj5s/12dt3kSrX5XcrvK9u1qn1Asf7Cjwd5b87v IN8V/Vgx32V/29N8Cn8X9LvIdzmfVn+doyen+6+8391fB3kg/DT6OPTh3Dfw 13yP/RrfU873Kg91/59cHkp9+A3qQ39zeSn11V7G/YdyeSr1oS/Uh3/I5a3U h35RH/qay2Opz31JffZ3Lq+lPvcD9aH/uTyX+vAT1Bd+Och7c/+fXP6b+y8h P5X1z/1hinLxfwny39z/J5cH5/5AuXw49w/K5cW5v1AuP879h3J5cu5PlMuX c/+iXN6c+xvl8mbuG7G3KrDoywrMfCP/FXlN8MehnPnO5dXUZ75z+TXl0d4l yrMpZ75z+TblzHcu76ac+c7l35Qz37k8nHLmO9fvQB9FXhT8sXJ5c+7fQznz l8vPc3+mXJ6e+zfl8vXc3ymXt+f+T7n8PfeHyuXxuX9ULp/P/aHgB9hv1Bd+ I9ivUS73UfD/Qn4u8pXgT0S5+FsEeX/uP5XL/3N/qlwfkPtX5fqB3N8q1xfk /le5/oBy0RcX/JHYwxdY7N8Df5X7Y9G+8GfBP4ty1oP3L/wL9cXfoSgXeXTw b6Jc/CGCPiP358r1G7l/V67vyP29cv1H7v+V60Nyf7BcP5L7h/E+FX+pdxrV 3yLYJyMfEP+Lolz43eA/lutXcn8yykW+Hvzlcn1G7n9FufgvBP1M7m+W62ty /7Ncf5P7o+X6nNw/LdfvUA6/y3tf/LkKLP5cBRb/iKI98Y8osMjTi/ZFnh78 2XJ9Ue7fluuPKBd5e/Dny/U1uX8Y5axHrn/K/eFyfVTuH5frp3J/uVxfRTnv B97vrA+Y+eV7kZcH/znKRX4e/Oly/VfuX5frw3J/u1w/lvvf5fqy3N8w1z/l /muUiz9T0K/l/nq5vi3338v1b7k/X66Po1zsdwY0i/+bYaH/xfdRXmzyWrGv vbNZ/S2C/1+u38v9AXN9X+4fmOv/cn/BXB+Y+w/m+sHcXzLXv+X+d5QLvx/0 ibm/Ya5fzP0Pc31j7l9Iucgfg78h5aJ/Cf6HuX4y90fM9ZW5f2Kuv8z9FXN9 Zu6/mOs3KRf/46AvzP3/KBf/5KAPzf0dc/1o7v+Y60tz/0f0CZyH3B+S7+N9 YfJdua/Xm6L+RMFfMte/5v6TuT4296fM9bO5f2Wur839LXP9be5/metzc3/T XF+a+y9SLvERgv4399fM9cG5Pyblwh8F/0zKxZ8j+Gvm+uPcfzPXJ+f+nLl+ OffvzPXNub9nrn/O/T9zfXTu75rrc3P/EcrFnz3or6kv9i/93f4/9xdF/yX+ 7cF/K/cfpVz834I/aa7/zv1Lc3147m+a68dz/9NcX577o+b689w/Nden5/6q uX49989F3qr+ZtPT+uT6d8rF3zz5ry1I+kTxPy/KVT43XfWvQT9PuegPg76e cvFXD/p7ysXfJujzKZf3ddDvUy72qEHfT7n4uwf9v85PZ7K3Rh5PeUl/Xf6K fBv9GfaCyKfQRyFfpz6Y30PejL4K/Zj4MwX7+tz/iveq2O83jFF73mBfz3tK vh83Xt+/wV8G/lL8m/pPEns60yeJf01Nq/Db0V4ln2/koSU96RxYrXbMQ8ke gfJy/3Td7w+M0PGtGiX6zFdOGJXk95SX+7fLvvahR5J+iHLmF1zK8ztSe+h3 kI9V5+Ew11+hz0Geg71Drr/ifYv+E/0V+gPKy/4sTvo+5pv32YnV/V7qg/d5 YlzSx9n7YLe93F8JeoL+gPlkP6Ovg56wv9FPsB56Xoal+eN75g8s8xX0f8yv +JsH/8pqs31qVX6e4lstSfJI8T8J/jK5/ib3jwGzX9BHir6+Uq/2I8vr9bws 9/L8PLL+jCf3t8n1c7l9EPIp9gf6Z/YTmPGrPb2XR/uWaG+EfpHvKZf5Lco5 f5SLf0RRjn4Z+QTnP/cv/zL7JqMvzBfltA9G/4f+vFw/16ez/8Hi3zZA/fns /YX+MrffgZ8u6cuCpC/kPIElXs89bq8DfeP3wfD73Cdlf0v565Zjpon9UPRH 5z6O823fC30O/ueUR/uu+D30NtqvWDnnn/PM+ef8Cj/bz+M75fcF6x33g81n 9K/094XPJ/xIPn/Kf5X+OVd9Ni3RI/rHfUE59XP/csqpj72F6PcL+oI+l/uB +4L7HXqHvq5/lR538eO9Rlbaq/xPR8KUc3/I/Z30jX6/cN/wPfQDevR+dT/7 fcP9Az8h5/e5hmQ/wv0D/YC/EPlWsDfKzzf3vZz34J9OOfsZfj7KQw2LPfOQ aYn+Mt/wR+CSPrh9DPSw+v0nYxJ9wN6lPI8lP/HkXtMr1Z87bFayL+P+Awv/ 2MfXH/sK1h8s+v5gv8L+gZ7n9hnUF//fEM+A+4r1wT6C9Qaz3nl5bi+j+ktv L8rDoj2U+o+4fQj9AYu/xHNuv0W5nPcQzwB6IfaOwd4yj29AOfsJeQD0lvcQ 9mrQU+yJ7ftnjndMedRvxfrsR+hDzp+y/9RffViiN/BHkR7Z/oL+ct7L+etI /Cv8bLW9JQ8n+7Pq+gxtTBj+kPmmXPxbC36+5M+cX4R/xF9F9GtF/fJ+Wpz4 R+7T6vz3Hqf8Q7Ge3L/V3/98fLKvsfVY+GZLstcz/nPCOe4Pz3pxnu37s9ea Jv6wNr+ivwj8iOofl6Tzz/wyHtGf9mtS+XhB31gf5iPGq4jyN+gV90Nu/w1/ zPsSLP5Yyf7E6X+0fzL6HuMZuP1hR9Jvir/z2V7Oew7M/Ih+vsHtydgvjBd+ SeKbFPww9w/0ivHAr9J/6Af0D/4T+sd45P5qGCP23JE/zfk3+AOxJw/2HvD7 0EPoLfSQ/lMOjvJmwyKPKPh56B/jY7+B4/vZMOvL74Pz+YN/iO9Vq498APoM zueX+z3KAyI9Z36RH0CPwfl7gfs/xjtx+7WOdP/Cn4Dje9jGw36AH2H8YPYD /AfjA8t9eXlDuq+wh6T/YInPUuz3+D60crnvPnGs9oxODzgf0Dsw9BB6QTlY 9dFurwB9zeN7UU59+gP9ZX3AjEfimxT3LfSd9RL6XmDKaS++R6K+M4/Pk8c/ UP1lFz9fMyHRa/yv4efAEg8mxPtBHxPjTVt93gPYa3K/f5l9tOFobxr9LfJ4 C9SP981bi6YkfgH6IvE6g38S/EC539qyeEjd4zXk7zv4j/J+8PeeyLMKfk/i 2RWY8wZ9AENPOH+UQ7+hX/I+6dug8bYLzPmEvkCP2J8iL2sYo/q6hjHp/Ko9 fHvar2J/X+xH6FVen98Tf6nAX7Jfhb/pP0n1wQXmvFS/XzZR5Bu2/+S8zZys /lXF/onxcqI9MftF+Lfi/on8m81/lEcaFv+qEH8mXx/48/h+NHoe34+GqZ/H q2H+eJ8wf6wf9Ef0s+M8HiDzC/3gfEO/OJ/MD/x3lOfY+z7aa9t5g14wf+gj cn81+Cnu6/w+zN9PYO5n5of7Ib8PwfDPzE+87+P9yH0h61XcLyJfDPKy/P7g PhD/96A/Zz7lfujn8U7y+Ifwo+L/PbhF4qNE/STzTznrFf1xoz4N/lbkYyta E73O5VHQN8pzfRXlUZ5h/IGsZ3G/sx7Mt8QTSvZx7r8S7entPRj13YY5/9be hB6TRX9r55/28G+J/jK2f6M+0TD1bRx33TJF7VEKesF7B38X7leVNznmPcT7 hvPNewD+FHoBv6nxIP09hTyD9yaY9yTnjXLkZZSDkf9H/sz6I/Qk8M/cF9AL 6DnyF/gl/IlUXjsv7TfuY+5D+Clw1P/aesAfsN9jfogo7+P7GJ8hxp9kPkr6 PnNgdbut8VDXfij37z3rTU/yHfWHc3kc9Ap+HHrE/o7yZTtPjBd+gPUEl/vf +yP5PTYansqr7Z/pWOM3ev/B7D/2B/KKGB8gf3/E+ImUR3/3SG+5zyJ9jPQ2 j4cIvY3yXBsf9ynyD+Fvr3H5BPw3/jPIH+DnkCdIfz8Zo/fFJ2PS/rTze9X9 LWn/gpH3G307ZtOpiR8AR38m2w/R/tnoA+uLPxL0Ehzfw/G9muuvmM8oj7P5 jvI4jz9V6n+2fDxbj2K8Is8J7wuNR7wg+SPF+bT7G/4X+g4/y/6N62fvPbC+ rzsTjvJwe/+BoS/QRzDnEf4SzHigVzl/qfqz0j7jmLtHJ/kV7w3oPf5l7C8w +4X3AvSf9YTfATN+1jPKZ+L4c34wH2/OjzM++s96sb5g+sv6sb/B1Gf8lCO/ i/52Nl72P/dP3N9GbyV+YT+/v9E/c/9Br5kf7jvmg/uO8efxBpHPS/zZgh8X e4niPEFveE9JfNpKvfIfGb9o/Wc8yB8lPmzwT0C/KPLUO50fqe635mbRH1t9 ec8ke1GvH+UJxv+J/DXZ1/n8SryCIdNE/+n2Mz7/0CO1V3P/XbDSM9dPQI++ 7P6L8TN5L0Z7IBs/463+3unNEk/Axsv42I8x/rTb4yzI+AfvP+MDi77kkzHy HrX1Ffv4Agu/M7RR42MW6y/6+qHub8J9LPmrNhqu9nq9PN4e9g5Rfmf7N9q3 GhZ7vdPqRB9r+ze2H/1p6a/on3p6vIPcn4bxy3th7qQkX2G/IP8o+Qnnb8Hl eZuT3nvUB9OexlNYkDC/D+Y9A2Z8eTxgMPRBf789Yfg5+A3Rf/epTf0Hy3gL TP/BYs9UYPoPpv9g+q+/tzhhkY9eWJv6p/RsThZPdW7C9E/P64KE6R+Y/oHp H1jiMXzwqMpjP3g09U/tX+YkTP/A9E/1jQsSpn/qX+04yicM0z/476jv9+9n JXpE/8D0DxzljR6feUHC9A8s/upBngu9EXuyVH9Wum/oDzjKHw2LfDPpsxYk LP7w/ZpUPtDP+Wf4adEPJP3XrMweZ07CIu8sMP0Bi7ygwNGfw7DEly2wyCuT feGsJM/j98H8PljoUYHlPisw/BnyA5EvpPbaExb5Z4HpH1j0bwWmv8gf6C+Y /oIlHlBHc+qvfu/yjGiP5e21J0x/wfQXHONpG477zeQhcb95/I+5Ccf95vUX Jyzvi/R9e8Ix/rThGI/YsNjXJnvRWem9T//A9A8c4ycZZr2R18T4797e4oSj /M7bb0+Y/oPpPzjGo3b556zEL8XzYzienxifWOsvTlj0cen79oTjeTIcz5Ph aB9mmP5hX0X/wPQPzH3OezrmI7DyGF/Z21ucMP3X9tsTpv9g+g+m/2D6jzyD /mt+iIWZPZtj+qvfL06Y/ub5LjT+1tKEo77cy8v4UO+eMj29d5E3Rfsxk6/x vlV9avm+/bQde9SSH1x40mMqnx8wNr3/kLfRPu9v+Ffe13zP+xlcPX8nj0/v RfjtaD9s7z30WbwfYry3GK9G/add3oG8DflVjJ9j/E2MT2n8boyHYfxFjK9o /G2Md2n3ffQvc/1nRzd+G3sw5AHV9+0+dQlX+3t7Xdd4XZ4CrsqH1nlM9Cn2 eyV/3fWe2dcx8gbmF/k985vHV0K+xPsLeSfri3xA7BEXIi/x8ZTl3v9SXlXK k59pGyPxgmz9eK+jr4j++7Z+0Ff6U37fkeZr8+r6Lk3zU/Z/aRp/9B80+UTU b5g8QvLPXDIs7Yc8Xjn8O+vJ+ZL4SMX5kvxnfdw+gfdptM+x/SX31X314h/i 8Rs7M/u87vHP1R7E9fsS//SdRvGnc/18d3sd6kv8rQHNai88uCXJ19lPyOt4 j5X0b3aaT+gnmPpg7oO8XO2b5nXL56Ty6HmZvm9+Fk9vQcKU6/p6OfRd39f+ XkQ/STn0H0w59ZGnUM79AKac+shrdP4cU0595Lc6f0sye2V/nyJf0v4tTe9T 9P3gaL9s+pwYD84w+g7kC/H+NEy5vkdnp3KwytvaMv+NuQnHeJWG2Q95Oe3F /FJWHv3PPD6Pv6+jfs37vzDLX+Dvb9Zbx++YcqUPi7LxO6ac+qw35ZGfMEw5 9VlvyiO/YZhy7b/bnyMPAIs91YW1aT2RD8n7ssDi75Pe97NTubw/C0w59aP8 3/1t2lJ5zE9i5fJeTfln5mX2Ll4u79nT6lI59SVfThrPwoQpp77Yc6T5cEy5 xtNblI3fMeXUF3us0+rkfWSYcu2/y0vieTZ+LcqjDLNe6AfkfV5gsV9P8pDZ mX/SnIQppz7rR7m875M+ry3LLzAvlcv7P8U3cizygFBOeyKfTuNZmHDMp2P1 xV8ozYfjmP/M6rNeOn7HlFMfe2r4KeRJYMrhN6N/oZWL/2f63u19xF9neb3a EyV516wkjxV5SIEphz9gPVW/OiezP5yd6rOelIs8JeVvasv8Reel8miPZ+Wi 307xUxckLPFDU/8XdiunPfEvSeN3LPmzGlyfCf8KRt4W9Wn2vchzCiz2V8ke uTN9z3zDf0V5j8vHXX7HfFMe5UGGhd4m+6G2VB7lRYaF3hb1o/2ElQu97dck /jZWLvGqgzwfLP4ZId9aXk77Ub9o8kI5Dx1jVf5a4Kiv9P46lniaSX45K/Mf dCz0MOW/mJ3Ko7zIsNDDoj7zSXmUJxkWepjklfNSeZQ3GRZ6WNSP/oNWLv5r qf/u/4h+lfc37y8w/CD1Rf8Y5KmUs5/BUV4V50/zYTkW+pP8uWen8igvMiz0 p/+kNH+UR3mSYaE/Sd46L5Uzv2ChP8GfjHLoDVjoUVEffkp/3zHzqf1t71ZO e+xX7Z9j5l/tKR1D7/P55j0n8sPkr+ry5bifrVzkiwOahf64/LgtlYv8cUCz 0B+XJ89L5fF+Nyz2Wx36/rTyeN/H9yn1xX6muVnlnQOaxb8nYr6P+9/H4zjG a46Y71kfykVeOqBZ7TMGNKv8NJTTXuS/zJ4z6r88v5zL2yP/ZeVRP+b2oLMz +XpbKo/6M8Nij9Pb3/+UR/2aYckfWNSP/upWLvGnCxz9bQxH/1hvb2m3ctqP 9udWHv1dDVNO/cgPWXnU33m+Wq8f6ZXbxzqO94nJ5yO9svLILxmO94nrB9pS eeSXDMf7xPUF81J51E8ZjveJ1Y/2NGa/Ee1BrH7MJxwx30f6ZOXxvnD71aXZ 7zumnPpif/REi/BLMd8I9aN/mpVH/Zjh6L9v9SP/6vbJjoUeJv3I7Mx/Y07C Qg9rWoV/tfKozzUs9LCmVfwBrDzmJzEc/XMj5nux31vt+iOw0KuaVvGncP8V x0K/ivqRP7XyqD82LPSsplX8AT1fc2fCQt9SPJZZyR5X9Jn7TxV+wfU9szP7 3TkJR37B9T9tqVz0oftPFX7B6uN/u6PJh6e5/Bv9k+RnLr6P+Vk9f8WiVA6m XOzH95+q90vA1I/2X95/x5F/sPpy3+w/Vfjd6D9KfdaPctHf7j9V+AmrL/fP /lNVv7v/VOEvrL7cP0Omqf53yDSRD7p+bHYqF/1wgaN80OpLfukh00TeZuXi f5P8+13/FuUn7m+9JPO3chztCw2LvjmU077cR0OmqXx/yDSJB2P15T4qykVf XWDKdXyuTwKj/8O+Ef1EtCc3/QT2jsjzsIdDvyf2pBs2p/rVbix5OOkPwZL/ Z8nDEl/e5INij9prZNJPgimnPuXgmD/I7X08/kSMB2nykWgfaPIN7JuRjzBe 3u/Vfvdwf3bem2CxH7ymSf1zhzaqf26Bxf+x9zj1Vygw5ehPwdiTM//Yg2Nv iH4OfSj+HOA8H5POp9tjx3iObp9S+mOc8sww9Scv9keMfxn9l5n/GB8w+icz 39Gf3vRN+IezP8Vf/IERmv/iBI23b+sFZr+Cef/H/EQ2v2D8QWL+beN/0J8z n+V+dH1sSX+6618ZT7kfXd+KfpHfi/5rtp68z1nP8vyW982tZ7RKfDaz30Te B5b8L+E8cz44n2DJD1WsZ7TvjvbenB/xP1n4mMYfubxB4tnZ+kd5ZMxHQ/uU I3+M+bKs/egfav0Vf7vLPZ8M9YW/LNpn/6u9sdv7l7i0737mfJff5vlcNH/L 0m6/j75d7AeSvLU96d/FXnLlQyovv7JG8w1PH6n5Vwr6WT0O+MsseTjdh1V8 ybAUT1H1eW2ZParnlxZ9SYHVfnZYio+p8SXmdbOf5XvRp4T2GR/t8b3kTw76 OX6/pL+un8V/OrfX5fdEPxP6w+/THt+Dc30fv4//DL+P/UhuH8zvib4n9Iff pz2+l/zQQX/I70OP+H3sH3J7ZPWXW9itP/w+7Wn8vAXd9JH8PvSK3+d+yO2f +T3RR4X+8Pu0x/eS/zroN/l96DO/z32b67/5Pepr/MtF3fShtA+9zuOJ5fpy 2pd4eiEfj9pvL+6mT+X3uO/4PfiX/Pdon/qUg/P8MZRDP1Vf7/pysTdeNUr1 MQUWejSjVuO3hnzoqt+c2U1/n7dPexLvtU+t5ldJ+c1cHy/2z0V7ou8pMPSA +mIfXZTH+D3xe/rD+ed7MP3hvFMu9tarRqm+KPwe7Uu+qT614q9s7XOeKec8 057ol8LvqX+R90/yxZxWl86rrr+3J/EHwu/RvsTP7VOr+WaK9jmPlIt/eWif 9iTebp9ajecW/EcoF/+oFO/U8ytx3qgPpj3OF+US7yfle/L3T3yfeDwktzcQ e5Uv6uT9aVj2f6U+nRe+l/j5yz1/U24Pkedzyv0rKBf7l9Affp/zxfcSj3+5 54PK7SXy9mmP+5r6Er9/eb3mXwv+HrQn9jVf1Ol5Ltrn/PE9WPXVbk8h9jlf 1Kk9Tvg99a/z9iU/0PJ6ze8W/FFoT+x3wu/RPueP7yW/0PJ6zQcX/Fs03uui br9H+5w/vpf4dcvrNX9c8JfJ26c9zh/1JZ9CiCer+b48PgjvM10Ptyfg/OT+ LvhTsl/Bor9+rkHzy/Vt0Pj6SV8/s5v9SZ7PK/f/oZz9nfeH35d8dX0bNF5/ sFfI2+N7yWfXt0Hj+Rffc15y/yPaY/9qvGa3P2H/Ux7jk8Xv6Y/kx+vrmP6w /3N/J40HvLDb79G+5Nfr26D5nVI8mEXZfliYxW9b1O33aF/y8/Vt0PieIR9X 7o+Vt097ks+vb4PkW7H3I/ISypG/0V6Uz3n8K68v+Q1CPmfKkZdqPjhvj/Ok 6+3+kZyv3H8L/2T2M1jsFQ5u1HyCDWM0X9U7nr8tt/fJ87nl/mvqH93WrT/8 vuQnbBij+a/e8XxwuT8c7XF/5L9H+5LfsGGM5s8K9irU576hvuSXDP52Gs/a seSbDP54Gn9wYbfv+X3Jl9gwRuLhxPzyuX9f3j7tSX7FBs9nR3sSr6Z1tMgb Y/663J9Y7bG657OjXPJ3veP57SjnPGm+PsdR/2Dfy3nr5/nW1L9wVvL3YL+B xZ5kZpO+Z/o1aX6wZC8zs5t9VZ5PL/eXpJz9mPeH35f3T78mzTdW/L7kgwn+ l7TH/s1/j/YlP2W/Js1XFuyFqC/vn36Oqc/+zv07+X2JxxXy++X543T9FnX7 nv7IeyPEt9L5X5Lsj5DHUS72MjM9XjzlYo8X8vfl/p/ED2f9wGKPN2iC8vfj PP8f9jWSnybYP+X5AHN/V8pZ37w//L7w9+M8nyC/z37K/WdpT+IXh9+jfeH3 x3k+wtxeKm+P74WfH+f5CtUeybHkewn+u3k89zx/oY7X5f3QO7DEVx3n9m26 Hp6vUOJvDHJ7qzxfYW5vlecrpJz9lvvvEt+S9QWLPeLcScoP958k+8/sg9hv uX1Xnu8w92+mnPXP+8PvCz/cf5LsP7d3cns59hvtsT/y36N94Zf7T5L9Z+1L fr/gf0178L/579E++0/jNXa3H8vb43vhn/tPkvekfY9/Gvoe3lO0hzyD9sR/ b4D7W1Of/QdG35yX057k5+o/SeMLD3B/bb5nv+b5HXU/ub95fO9ZOfs59+8m nozcf3c2Kz/Zb7Lwn/Z9fP+ZvVV870V7RNqL+fCi/zvlcj+G/vD7kf+07+P7 z+3J3N5Q7NXvbNb7NPwe7Uf+076P70NrP+bji/75tCf2pOH3aJ/9q/EH3d5O 8pkFf3/aE/v48Hu0L/kSOprlPWnts9+Jn4M9GfYCMd9fjC+g6+f5MCXfTL/J ql/t8PqUiz65KBd/xhCvgPajvjBi2ov8q30PZrwxf2CMd0B7Ei895N/U/ezx ECSeQ/ie/nDedP3cHjHywzF+Af6zIh+cOVnfg4NbhB+27+P9YvZzMf5ftCel vcgPx3gOlIs8MfSH34/8sH0f7xe3D3R7UdEPzNT4zPH3aD/yw/Z9vF+ifSTf i/wwtE978f6I8bAoj/Jt+z32I1jiGc+crPGSQrwKysU/ZOZk0T/b77E/+V70 7U94ftI8/gXtiXwv/B7tR/91+z7KN3x/ePyMaO8X26c99i/1o3zD59PtX8Xf Zb0pyv+uN0XfZ+OmyHvOvo/yDrM/jPKNaJ9LezF/ZIz/Qbnwx6E//H58z9n3 Ud7h9pVufyv+NutNUf45/B7tx/dcjD9CffG/Ce3xfXzfxXiz2L8Q74zv8Q+h XN5v4zy/q+arcvtg4afXmyL5LKP9sM6/53uN+aytPucpty/me9rj+5jv2upL vNHVUyQ/Zoy3QnvRPtKwvDfHeX5Zvpf4Eas932wev4X2JJ9Z+D3aj/m27Xuw 7meP/xLtMWP7tMd5o360t7L24ns4xmsh3oLIywe1Kj+2olXfI8G+l/ri3zuo VeXnoX3ak/dFTavya8Gel+/FHy20T3vyngjx1imP+pUYbxAs+awGtUp+0GiP TbnwNytaNT5ITavGwwvxdfhe/NMGtap8Y0Wr8vc1rRI/0OYn5h+N8XpoT+Rr 4fdoX+z9alqVP9p/atrflEd7VWtP5Nvh92hf3hs1jmk/5neL8YTy9mlP3ic1 rco/Bfty4o/L+zbkoySeeJTnmD2z8EtDpom8MNqr5/mI83hHlMv7N/SH34/y nGjPnuczphz5CVjyo90zVewN7fsoP7H63Ae5PTvfi/ylv+fbzetTLvaXr01N 50njO3l+Y85Tbv+u8+n5jzlP1Jd4y0M8P3Ie/4n2ov+JYZEH9fd8vnwv8X+G eH7lPJ4U7Yk/ZPg92o/yI/te+Lkhnp85j09Fe5KfMvwe7Uf5k30v/NwQj5ef x7vK26c9zpOut9vjS3yAedOU3w/xz6vdvGS62D/a99E+IvoH5O3xPecjj3dv /fJ47B5/Fn8OyjkvuT8B9SWeR/F70X7O6nNecn8Dvpf4HsX30f4t1qc82q9Z Oechjw9G++KPO8/3ex4/jHJ5P4Tv+f2Y/9a+Z3/n8cf4Xt4LoX3aYz/n9uh5 /DK+l/dCaJ/22L+5/wPl2Pvi/1DOt+cj4Pewhxd/pg2wv+lM9swx37Zh8a8K +bCxB5Z8VAsf0/wTId8y9vdRHmL6NuKpYN8Opn60/7Zyyd993BihfzH+Jvb9 +DNg7wx/r/HRFiT/J+hB9dgf85C+74r5lPdjwNSP+cbMvgqM/bnkrwuY+qx/ nh+b8rieEVM/7m9bP/GHm0g+nHI9j9nxUbH/tPUS/8c9Hkvx7W3edmvy9cT/ INqvmf+B+PMFTH2JX/jEOJE/x/wauf04883+xh9A9PtFOd9jH0r8u+p8POr5 szXeltvDSbziYj7Ff6Y4P2DKJd7fhZ4vu7psIX+22pN6vGn8Z7D/j/TE1k/s 70M+uxxTH/kh9kpR3u7xTxZn9h8ej13yV17ekPx3wDG+u+0X9leOaT/KIyOm vvhDh3xr6Ouh/zmmPu939hvxdaEvzDeYeID4I0l8zSccEw8i5lOK/kmUx3j/ Vi7xLUJ+as2n7P6VYOhPOT4vx79D+SPP34K/mI3H8kHE/Jp2n0C/qB/zZ7m/ T0cWXzL3B/L7KNI/K+f38nwnnC/mC3lKjMdo8WLL+Sn5k+O/6/moGT/+SUa/ z/jrtHT/gTnf/B7+JNYNy+dS7o/u39Nf7jubX8vfAs79C5kf2uO+Ff+c4vyL /0xxvuU+X/Kwvj97jUz0m3J5T4b809AH8ccszqv4SxfnU/yle45O81/Fyybq /h+CPnR+8sci/iz7pUrn7i/5geadpids/Xlxf/hZLy/1I7OSP52c9wtrxf7f xlPOb/f8KZTL/XJ5g8gv7LyJf2Bzczo/Nj+Wj6o6/HNL+fWaD/j6s38lXnnI F8x6yHu+10jNJ3FNk9Kr3uPS/UY5mHL4X/of9V2238Uf95Mxeh8PbUz6fuLF inwj+Jey/tH/1NqL/qcxfy9Y4nNMrJP9afeLxDMI+QvV39HjkUr+1IJeSz7t 4vfk/ij2B/yJ1bd4vLyf+b2YT87tu90/EX4FzP7Ky6vrf9Jjmq/uE+zhyvin E65mvOV75OzrNV+arQf0Qu2NFqX5h/9U+0DPByT5/o7Dnq4rn9qro7vo26Ju 2NpfZ7cxym8V50P2Z0/y/7p/Jue9+v3Rk9N5Jx9NzFdi+i/iA5CPpuQn8vye c9J9I/qo9D6bm+gJ+YvU3939NdmfYPw7GR/+neDo/+nx5NrTfOHPquNvT/OH fwTl4r+c8tl7/rqYv8rym8R8orZ/JR5Eyu/VkeIDS3yWYnzi/17Q8wOr99fS RA8jvYv5HOF3ue/gd8v2PB4x4wVzXvAHJV4xmHJ+H/9fMP6++HtG+XzMfww/ Bv8FPeQ8qL7R8zPCf8EvID/I8yOhzwIjH2V92J+871T+6PkXeX9wv6PvV/7K 899EewKj18iTqB/lFTZe9hP3UYz/bbi6XD1c3y/7L+njF2X8kmPuA9XHOMZe QeO1LMj4N5fv8J6B/vI+gV5yv8Nfgavr96MRXfdtl7z4r54Pkfr421Mf/i3H vP/Y35TDf1l/9nxS81/G/HusZ/Rvt/rx/o8495+mHAz/yHuU8dBf3v/leZk5 0Lr/6U6ObTwPdw7vWu9Zqby0hyl//6FNp6fzZ+vx1uHY7/v3cf6MX4Ef43v4 sRzn8fIpB8O/QQ+hFzGfm8UD4HxDD8Dcr9zP0Acw9LW8P0r+84whLV30oJRX XrAT+f3K87rvGsiPPT4A/AP9i/Yx1p/yfDpm/+aY/pb99/uV8wiGfnMewMxH SX+8HPrNeQHze8Rrpxz/ee4jMPNV0p/yvI9dRnyxkr613NlaqQ6/z8I0P9yn 9I/7kd8nvgHtl+enlI9tcw72IKV87PN3uN9LfcqTc7G3cX6a9YDelfNf8rcH HgI9WpDOZ7zvbb7i/W7zwX3BfQo95T5FXgE/yv4CU56/H3LMfct9xv4Q/WYx HsYHvyfvr8C/Us7+wT4Meo59GPSZeBjl/i3lYb229nyrvOeJjwH9kfwPSV7U xZ9u7vc5mPOQY73//T0h+T2f8P6x/jG/hOd79fuR/up7a3YWH97jQXA/8N5S fcewpE/M4+er/3lbqo+9SR5Pn9+TeOhFfewR83j61Jd46EV9xp/H09fxeHwF 9C15PH3qq75kWFqPPJ4+9VV/MizZe+fx9KnPfsnlndqex5+X9ZlRq+uT4ql7 PHrJNzajNs1/Hq8e+SfzncfD4PuYvznGq6A86q9iPAnKo34qxnugnPminPnJ 4ydQP+qjrFzy9fYaKfZmhsVfJ8SDx5+U+UQ+K/41IR489cU/JuUHnpvKmU/K xb6v4v7ElDOflIu/S4jvTrn4s4R47pQzn5SLf3xRHuMveTx3j5cu9jbPNYj9 pb3nxF8kxFenvvh7hHjqlDM/lIu98dmj0/xQzvzwvfhnhHjplDM/Oh4vj/Gz Yjx0yqM9ifvLd/cvpr+ibz64Ud+DDe6vSH15nx/s/oa5fy/l4m9QlIu93TuN Ip+N8ccpZ77Un9L99WK+0RhvXP0TXX4h8ccKLPmvk/+f38cxH4zHT1+a6jPf uX8p/Rd7/plNGr+gX5PY38d449SP9vMxvjjl0f7dymU/FuXRft3Kmd/cP039 9dyfLMY3i/HFKRd52lDNh+P99XzCYg8Y4olTLvn7ivZFft2vSe3Fg/9ZHm8c fyPxdx83XuxTY7xx6kf70hhfnHLmO48nTjnzTbns50Hun5XHE9ffd/mu+JsW WOx9Urxz98eK+q3obwWO9pQxvrj2v7Obv1Uebxx/GfF3TvG6PX642GvNnZTm N48vTjnzm/vHUc785vHDKY/6ZMPRHirGD8cfRuyZivrRHinGB6d+tCeK/mo6 Hz5/Yg9UlIt9aIgXjr+C2MN1NMt9FeOFUz/eVzE+OOXxvorxwCmP91X036Ic eQ/vDckntmGzvod+NVnfO8Efi3Kx1wzzT7nYWwZ/K/oj9pIh/rfOn/tXRX2l lcf4GjHeN/b1Yj/VuyXNP/Xl/hvs/hWUy/1XlMd4FTGet9rzL8j8Nfw9F+Mz eHxxf0/J+y31z+NPS7zPFG/c41GzHtp/j0ct8QRDvHD6H+M9xPjgOp/ubyP5 Uwa3CD8S439jbx39f90e3uN5i//4OPcHAEf+I/qrUM7+Rh7OfFM/8p8m/5X7 7okW1Seudvt8ykXesHqKxst4wvOt0h/JPxfifVMe+Y0Y31vny/1BmG/KY/yL GL8b+1/xF0z22h6PW/iTFa1p/1Mu/MmKVom/4L/n8Z+Zb8pFn7X/VI1Hu9rz v1Iu+dZXT1H7jqKc+db+uf13jM8Q43lTLvnbQ/xunS+3/xd/tBWtwg9G+2ns QaO/sdvzerxt8WfvPy3NLxh5O/p26Hmuf0f+E/k9t7f2+M8Szzb118uFH9l/ qrw/rFz8FfefqvKxojzmp/f44W6PLP6HIV435awX5eJP3n+a+heGeNw6327P znpRLv6AId52KR/xfLXg+N51e1u3V43vXW/Py+N71+Nzuz2rxBtO+s3FqVz0 zSHeNuXiPxfibVMu/nMhvjbl4v8W4mlTHvNb2v7CnhL5m9hDpHiaLo+V+Lwp Pl1HJr/pzOLrtWfxuDwfqPjnVerV3rLi+gXeyyJ/ea5B3yPPNej747kGtRc4 uFHuW3/fdSZ5L/qQqvy2Vu1Jjd+O9M4w60X8A7E/Lvh78U8K7wXuU8mPFvgP 6Dn6d/TN8p5b0arxIvpPE/mb6XvQv6Pvoz32A/Zb6NvK/d+Z7CVjPHIrL9vv TPo47HOr67VqVLKfqJY3jpL4yVZe/l7X/j30EdHne/xDx6U+siO1h30w8drK 9XZ9JfmcsW9Fn0D8Kew50DdgH4J9K/pZjddS7pe3Jo1N9qfo+9DHMV9g5kvs dwss9rsp3qrbD8t8PDAinS+wxBcqcLQ/NftV5of5i/GmrZz62K+yf8GS77fA Yu+c1rczW8/O1D77he8l/2aKt+hY7AMmur65Op9HPprOPzjGuzTM/tL4f47j fvT9sTiLH+f2sKw/9kzQc4137d8znxrPzTH7k/1G+9gDRf2kYfYj+kD0/bn9 NPsTe4o8Pzn2F9Xt18PtsYV/6/D4QrTHetBe1P9b/ehfZvIg1pv60X7U6mOP ofnSPd8a+ibKsU9AfxbjNfr7clEqj/FJnL+fn/RZ5fjnJ/4Be1rszUv96fyE qQ9/R329393eg/nI7XFze1q+j/6nRo+hJ2X5MI0HudHwpC/Nz2t+Htif6PeY /2jfavPN+wn7GvhN9X9wjH6P+eG+RB8Z7QnMfgL7DPS90X/RMOXY10r+7YKe RX8U40eYL3DMF2n6lpgPw/RT5D83fdduBzm2Zh5795FEL6iP/RLto49G3wM9 Bpf64C55xrkjkz6/uh5fH5XoteY79vpg6kP/tf32pB8iv7yt/zovO8Y+Uej/ I48m/a/Vv+s/Tt/gb6I/QMwnibxS8n98Pj6dP3CMrxfth+FPwPAn2E/xvonn 1eynoNesh/CjKf+0rx/2paxvzMfs8WIdYw/IfJXj9/mM+YE9nqfjcj66zyf6 lph/03B5Phcne1Hsozjf0b7J7KOxJwJLfogLa9P+Rn/G/lV93tJkD8N+x/4j +lNZfexLKMc/BXuCaM9h+if2Fxj7XOwl2I/Yl8T73Opjj5jnD8F+E3ql+jjH 0Z7X7InY39ivxPvb6mMPQTn3T/V+qpmg9oNhP4Oh97n/Bfx1tbuHzU/2/9Az 6Dv0jnLor+a377ofz3RcfY6s8VCib2rv0JHsO7E3qp6HWx1jbyf8V8q/sDjd 19Ee0fQz5fp22acc1ST2iVYe7Q/9PdMl71w0XuQVdr+yn9AvxfvIzkf0VzF6 I/7qvceJf57Z27I+YOw5oTf4p4LFn25l5o+X8jcsTfy2vE+K+wf6o/ntlyb6 DYZ+C79Z1Ie+wG+CeY+U7fv7A8z7Q+Tfa3p+ZOzFxT76uDFp/tB/8t6A/5X7 pcAxf1XMX6Pxl90eC/smjb/qONqLuj9Wzr92pv1FfegR9AT6BT2BPvGeA8NP g+PveXzzcn73bHN7KOgP7z9wzO9l88H6q7+e01cwv8/85fWr98WDfn9V7Tn/ Vqv5wRa6PR7zz/3FeLi/oLdg+s965PWx9wJj7wV9Z72iv5zRT+476G30n4vl 1fl42O/H6ny815D2G/c3/BAY/of7vLzvOtJ9Hu93u69jfne7z5lPyqnPfc78 5f4A3N/R39jKOZ/Y20p+v+Cvo/GY3V9D9D3HjUn0lPmDnjJ/5Xi9XOyzl00U exPDMZ6F3V/wV/hrxHwbpv/i/YJ8m/sL/w3eO2Dq5/Im/KPx98gx9vbRf8n0 MeV9Oz/Zj0o8siH467Wl91I5H+4fEvMlRfmV+t/N64Z5f8R4Um4/WcaDah/s 5fxe9Jc0+UN8r7k9qdNL9jPnnf0MfQAr/fL6YOQN0GPoAfIXMPtf7YPcPwSs /k5L033B/cb+hF8iXmeMv2D7KfpT2H7Cf5D9wv3Lfon2J7b+UR5k/Cv3k/r/ dSZ7XvgX5V87M3szL2f+4Fcl3mCB43ybfS/vM+VX3d6K9xzlwl8/1yDyzZj/ DUw59knw38qvuj0S/PqX0QfjP2O+RJMXR38j0weyPvh/xPhNhlkvzj/26no/ LUj2H2DsHSSfQX9935l+G/rEfijnu/z9nTZqlfyI9t6Bf8jtT5Uf7s5/gUUe HOSh8LeiPwjyA8035fLIGC/D5ZOd2Xuzu/yR+yfqa6w8xr+wcsaj9ovOr/H7 4OgPFeV18N+izy7Ko7++lUv8tzvGqn46ya/bs/ymbt8V5TcmD4j7y+Nnt2fx 2pd2w9QX+rBsosjTTV6HPIB4HNhToP8QeUPSp7t9OvcX9xH3FfQo2stYOfV5 H4CRb4F573Efcb9w/2h8GS+nPvK8mJ/K9XtuLy/+xcX5iP4QJu+L/L3hmP/d 9HEiD+g1UulVgaN/oenf5H65sDbxO7l8IH+vcB9Gfj/y35Tzfsnf//n7hvuO 8pwfpzz6r5q+TvLDFu9JoZcFhj9DnxfjORr/xv4BR/tV21/Rf9z2V/RHMXoC Zv5ivl7Td0T5qs1/jB9g5RK/rSiP8RLsvch+gB5JvIU+Gk/A7bE9X6jE3yvu K95X3E/xve/+3Y6jfN/zgfj7DX0E8izoE/SE9z0Y/Sb3WbT3Ncx6Ie+P/rVm nxbt1Y3/YH14/4OhH/CjnG8w9EDiTe/v+c6RR4JzfQDlYPxH4Tc57zHfXuRH oRdg5EO0R334bzDlfM/9zfuI85/L61hv1of5FvuowF8w/5w3MPwc+gH8L5FX xfhQJi8X/XCx3yO/Z1j8g4vzxPrBT3Bf5Pwl/Ivcp8m+YGm39yLvbdaf+eY9 gjwu6uNMHhP1pYYp533JexL5Cf7UlPO+/LL23L7B5c3xvWnvc+gf8h/oI5hy 3q/wI5rPy8t5j39Ze54Pyt/v8BO8b8v5Wpz5xzumHHqAfJHv8aejHHk43xOP g/Uo58sx88t9xPyCGS/3C+MFQ4+Q/5bv6/lJ38T9oPkvyvvhmT3Hi/+ojQd5 Mv1HngQW/7vrx6h9WcfYxF9hPxDj2VR6kE+nfD+t2R/7zJJ/3/N47ENK+eob za3JX9bmdf1Oz5eNPBN+jfua/cZ+jfy34Zhvxu5j9gf7iXIw+4Hxxvx5cfyq j+4s6cmGYzWewwZ1Gs9hA/cHhb+I8XOM3473sevHPF6JxFedWCf8kr0HI79k WPxXi/db1HcYppz3dJR3Gn8Pplzi0Yb6vP/EP/N6l5eCoW/IC6FvYMp5D0Nf kO+x3uAoL7X3LfQEeR3rDY7yUXufSj6A4r6J/TP6BYa+iX1cwV/EeGLGXyCP QX9c/r7j6H/v8dEci/73NOxJPL85OJePUC7xRu/z/lMf/2rrp8Wj4j6DPwPn +03fg37fxvhznu/a9X/4u/JeBaOvEPuA4r6VfMVLPL4d+h/JR1y8F4gXSvsx fqjxnzH+juez9veF+NemfLVzkv2P5DsImPsaeR7fS76u0+r0fk3+ov77Yu81 3f0tNV7f3HQ/Q79ZD/FPmFgn/JqdX7Dah81L92Xkz6w+WOXhHu9H8ikU+138 N9Yck8rBtId+jnLeP8h3Vd/s9SO/Z/2R+FM9PV4Q92HU71t9se8N9Ivzy3nj vRXtpQ1L/s1+TWqvf8fYVK72RQtSfd7/eXn+Pe87yS/dz7Hms1uQ6ku+6H4u 38j9tdR+yd8zwl93jFX753XHJ30nvx/td+332N+0F+1hrT25b65pEvve6F+X 53MDS/zy9P7178U/Ofjj8X2Mj+z1PX8ZmPFKPsdx49P65eVgyc8wyPOf8T31 KZd8wik/3cJu+mGVPy1KWOJlF78f/ZusvWhPbPZQMT69lUt834BpT/IvpPF4 fYkfve549Z8s6kf+JNanPN4vPr+5f1p3+S35rGK8I9MXIQ9G3g+mPYnXn/wB l2T505Yk+XDU71t9ie8/IMs31H9SwrQn8fCLcjDlIl8sfi/md7H6Ep9/QJZ/ KOUn6+j2e7Qn+Wr7T0r0jPoSX3yu5/+ivujrBpB/yvM7Yd+C/1TM92H+gdGf y+pLfoMCiz1O+B5/OOEvi/bA1I/7zcrFP6ZoX+Y/YNqXfAQdnp8KeUyMNxfj d/Ge537R+CZL0veS7z7lU1qSsMj/BrdIvnv7Hoz8TuKx9Fb/LWuP8vz3aF/i 5/duUfuV4O+Vt8f3cl/2btF8sk+4/gz5osSTDf6D1XVYb4rGSz5F/atiORh5 +Zf5W8X66I+YP9oXe6zMH8u+Zz5yfyzKkechb2M8yHMoR18s9oP7T9V4hTWt Gh9hUKvsP8Mi713RqvbBNY6/zJ8ptsf3Yg9Z4zj3d+J7yb+2v8sH0TdH/3LD xD+ydi2+VbS/NXkjOI//y/fQczD3IfLImD/W9A0iz3vN/b2oL/kY75mq+buC v1JeH/s35of25XwGfybNX5HHJ/b8BBIfYt40jQcxz8eDPFT8ZUI5OPobWH3G k5fn35fvs+lpPHxPfcpZ/y+LH2zjj/Yjbn/QmeIhxfer1ed9x/ss2reYfFPs AVI8LC+nPuXR3sXe4+IvnOJfeXmUr1l5tF+ycn5P7WX9/S/6zaB/Rx4t/l8N Y9Q+6foxYj+Vx7v1eBhLEv+HPBPM+iq/uTjxd8gnwTL/BY73id3vYg89ZFLS VyLvh98FY/9Z7W6IN119fz7q/lSUY8/Aex2MPxX+VZQj/6m29/VRCeMPhfyC cuwL7J/ZV4Hxt8L/inLsr/geTPv4X1GOvR7yQ+zzwDGevb2X0R/l9tMab2Rx kg9iH4W8NNpP23xiL63zOzuTf85K9rFg5hP/LOpH+aLJZySe7EbDk3wRTDnf q3/lsGSfQHm0V7HvYzxvk8/EeMgm7xD7yF6ZP0DK99Ce1oP6yEdifG2Tv4g/ yAYaz9Mw5chHYnwdw5R/mX+B0YNIH90fa0k3+zy1N3d/rCh/c3upxUl/IvrL ++pVfxnyFaA/Rt+API/yPB8J9ZGXqn167q/l5ci/1b7cMfJcMPsfjLwVjLxV 6y9K8h+Jxze0MfHbYIn3OmCs2Gu7P6tjWe9rmoT/dv8uz6eCfo/fQz/N9/Cz 0GPJjxXyj/M+j/bokX4r7kg46n9NPyz23yH/Lu8Z+AnKo37Y3iNg+PEYH8j5 4fnJngqMPjTGw/H8Ve4vAIafi/mSrRx7KvS90Z7T+ZWOxD/EeJ5mPwJ/gbyc +wX+QuK7D3H/tNwfTfM5zU70SeL/hfwq0DP4Fey3on+17QfJH1hg+CPk4WDk G9zH7Bcw93mMb2Tl2MPl+SR4j2Avm/u3sV5RXmL8N/FxbZ5uXmN6ms98fvFf O6+6370+9z3zS330mWD0j+ijkJfjj8P9jP0gmHLu62j/YfSd+xz9N/c9mHL4 Rbnfivsnxqvd5MUaiU9rmHL8H+Q+LL4v7zP3b8Oeku/FnqYYL+1xf/F78Bvc n9Qv1zf3/3ZMOe3JfVv0D/6F/sDfgCnX/ru+H/8l9Pv4J4Apz/3xuL/gj+CX 4Z/AlHOfQn/RR6BfRp/P/ar+Iq7f575Bv899BBZ5QcfYxN/ynoW/hf4Qfxn7 ae5r9if3OZhy9qvYcyb9kJfznuB7eU9+4vbK3Ifcv1V6+K3GFG8c+xT4RXCM L270LMYrN4y8Js/nVF3WPmpvY+eN84g+lvMKplzjU3s5mHLOK+X8HvsPDH/E 78E/iT/DjNrEr9Ce+Df8rVb0xfb79Jf22F/s35jPyvi7GJ/Z+EGxH6vUy36L /iaUc14o5zyBKYd/43xQHv2BnL/r7t/C+QHDv8XzG+NN0z/4MdqL9jKGo/7c fj/SB2uP/Zv7Y3M+Y34F07cz3+CYz8T075xnysGqn/dysQ9+riHxp5TH82OY ctrjPuV9HPM12X0d+SnPB93dPxJ6EeOJxHgj3I/c72qf4/7xYk+Z/Pn8fY18 BUw5722x7y7eZ5EfsvMf/dFNH09/oR9i75n08f5ex38BHO3toz8m9xHv++rv bV+T3v9gynm/xnwbV13UmN43YMp5P4t8fKjTS+rzHkL/R34Y3tv4L4GJf4L/ nuiPZzapvLXg14mnX33PfNiU5JvwZ/gPwH+X/XP7LOgJ7xnJhx7iUXAfxPNh 90E8D4ZZP/or/ichngVY7EvC+yfPD8d7oqSf5Xm5Z3SL2E8af6n5QYcleRz8 s/Bzif9uT/y2xDdY8rDyjw+M0HgGRXn0T7FyiQ9VlHP/wj9x/4Iph58S+8ti /4p+Odk7O7/I/Q8/FeVznn+nI9knyHuvdbTaSxf0K8arsnLx1+o5Ws6z+VPA 33FfRnmW3W/we7k8Qum35w/ifsVegvuT8Uh+tpDfCnmn8IMNY0Q/bd9L/M2J dWpfVtzn8f6z+zryj3afc/8wvnh/2vi47yiP/vvRvzb/fZ0//577ifmK/ILh qC8yLPH6NnB7Lfof7bdsfNH/2srZn3wv/tlf1Ml+tv7F/Ww42oPZeDgPuf0w v085ONpzmLwp5lMyfgAMPxDzp1h5zEdl38dy40/4nvmK9sSGKc/zqeX2xPx+ tP/sls+i52jJ52T3P5j7P+Z3sXLsa/k+lns+syXpvET7Y8PRP8Taj/amhjmP 8P+cVzDlvBewZ4Ff5/1HfTD1eS9Sjn4bfYm8F4vzxu+xP+gP7+noH2/vv0g/ DLPf4ZfZf5RH/Y29F+P+jvbnvO8iPfL8u+7PzPlE3yL2eykenvs3R/tQew/C /6p/s9s3s35giU97nK8/5XG/RMx9HO1FrFzihRT3ebRHtfpgtS9ekumPOhO/ Af8GFnloz9HqH9Q6Wv2DWkcrPxPKNR7JovQ+BTMf1Ke85Af8/gMzfonHUawX /BjnT+JzvNeg8Tmea0j8GecJ/Qn1Y/4Zj9fg+Y2Qr2IvBMZeKMbbNf0Y8lbK wdjPwP9QHt8PMf8o9WP+eSuP8teYnxCMvAIc81+4fcj85C8Exl8IeSvltIf/ c9T3mb0H8hDK6Q/2NswX9aM82PyhYzwZw5RjH4H/EeXRH9GwxAuvaU3f4+8E xt+R38v9HbFf4Pew58C/EXkP/oyqr2/L9N1t2fusLck/8e+nnPbQt/N7yKer 7EoPt5co6Uk53rE/dMx7kvlAHl6e99Ify/K1gZGHY29OefS/NPos77tH3L8f fbbEy/7g0XS/wJ+Ac/9/lb94/JUoz3T5jWPK4Vei/5TxP9xHtM99xe/ze/Ab YI1v6OXcf9V6yzU+q90nwr9d3pDK4V/i/ebyFMeUq3+J+8uDld56Oe8Pje/k +TzEn+OTMerv8cmYdF+qv0p7Ji9xzP0IveZ+pT+R33J/iUWJvsT4i0YP0OdR Dr3j/Iv/b4qX6+uLfAEs79UN6lS+kPIvdab9gHwhbw9+I9pD2v4QeX3F85HC zyKvB0f7YdtPEr+0+B79APwo+gGV93n8C96X+h5cmulXfX8gT2U9wNyH0X/a 7meRL588vov+LO4W/wJ9IO991gt6wPs8xtOx+ef9xXzz/gJLfJoZtWIPE+MD sX4xn6rNZ4y/Y/MHP8b8RnsX4w+iPtzmB/1czu/zPpX225y/A0f+Psab4jxG +1Gz78BeS+/XRSn/I/IT/G2Yf+SL0R7M9LHlepX8yPO/8njo6FtFHxziI3Mf Rn88ux+gv/D70F+NL+j8v6xXwU9H+mI4xlsy/lrsEb7l+nr4D+Ene7ek+bH9 ftnFU1J+R/z/Ir/h96/nby3p4YIkT+O8Ic/hPIIpV3sf129F/ZK9P9AHmTxs 6NHYD3q+U/ybkMdCL/k9sOrz2rvZL3H/yfm+3fUluTyD+wV5Bphy7iP4Y/hf 9l91/9yP/YHjmM8pxo/FPxz+C3lfzK8d46Hm9n9g7CfY32DoT4yf5vkW/Xv0 WdAj9DnsV3AeD1X9pV1fyv5Hfsf+R74X6ZvpL8F5fFLKY75pOw8x37T7H7v/ fjm/5f6p3DU86feQz5f6he7xMpX/cYw8BMz7E3op783H65N8QuU5/r5CngkW f/hLhkm+4Rjfkf7KfV/MN/c98n7uZ/QB8h48qindV8izxb/rQ+TbHp8x2vs4 v+Tva/yLybcr8f2L/sG/sR9EHvdiTZJ/5vH74E+4H/X8ur9x6Y/o8fqYf+4b 0SfcjfzIMfPBexp/f5vHtqc9/wzvDd4nvDd4v3C+4nmP8cN4j/C+4D3C+kEv WV9wjN9g8h74MeYDfk31u53pvQD/Bf2F/wJTjjwIes78Qu9V/9mR+HfoAfMH P63+ip6fOMYndPlNeX8dcQ/xOPJ4UJ6fnXhRtn9jvmLVR3fPX6z6Vh8P/D7n kfuB/QH/B472sEb/wfCb9J/9w30AZj/aPrx26mS130z6Is/ny32MPRHjYf3o P/Mp/iurRiV5F/JO+DUw9ZFnSvziGbWaP+O0OuHnbL7h59R+we0v4V9y/Tr6 OORR1fltbtZ4h3c2i/+AlfM+wj4ryt+iPwnlYPSF+EcgbwBz32LfRTlYz7fb r4r/1HH435fywnc/Jf7UgiQ/EHuENj8P6FslH1eB4W/gh+Gv8nhc4OgP6vx0 e9LfRv9oj+dTvlcXPuX5KKHfvA80n3B70jfK/V/gKO8wLPmTZ9Sqf2uvkcr/ hvcLGH8Y3iPyngjvFzD1GT/yN3DM1x3fM2rf0N7te+5LiYeTrZeVx3xFtl6S fyjFk3L5cnxP5Pk3Pb6x+yuI/9SgCYl/QP4q/jNzJyV5CFj8eQrM/Yd9LOPL 8/3h3xf5G8NRX2QY+SbvEzD6bn4PLP41g93/Diz5cAqMPJn3neSzGDdF+CvD UV9kGP8y+O+YX8/ee5Lfp8Dib7miNY0He5Uo3zb73GivEP2tqM/vgcX/JMtX 5fyDx3fA3rY6jUseTvXBMT5g5L/g1+HPwdE+xuOTOf8d9a2Gxb4y2Xe5/47k Z7tcz6vx61H/6faEHi8ztm/fx/Nq/Cb3C+dF8t8F+2DOR8zf5/697p/DeWO/ ludtUYqfI/FIerfIebH6MX9z9F/kPcJ+YH3RN2C/RDyjkv+fnvyz1T9oQaoP P8b7F3sa5FFg7J/hd6v7881x6T3E+zrmZzcMf8d7MOZHst+L+Vk8n4/bH/De 5n0t8fb28Pc172n0T/BTtId9EfJK7GeIb2TrVzlnouSDtfdujOdgmPc0/EDM 12vlMT+JlYPhJ/ge+R3tg8v9OT/Jn2K8RtOngOFfiU/A98Rj4nvkA8ijeN/i D4k+inL2Exj9DPVjvEvjX8r96xj9CPwJ9lTg8j52HO3bDEu+xo6x6TyyH4mH Az8U9YXWP+zhrfyhTdXe3d67rD/8Avw28gjeM7wv0W+A4X/g16I9o9GTaL9o /JH47xb3rfgHX9Ok78cPm5K/SrU85bf1fLkxf4Tdt+wf7p+Yf93e+8jDkF+A 4b+wF6i+9999JMkr0D9Fe3Hjn+APc3vjXN4Bfw//pfHpnb9C/pHb3+byEPRB 3Ae8t2I8fXtvIR9BP8N+yvNvQM/FX6nGsca3WDTwQRvvNydKfA+rD6Y+7y3q Q//ByEPAnF/0t/H9YPrkeP6NH0J+DEa+XKV3PSZLfBnDUf5n8rwYP9n4F+gd GH0z+t6YHyfqg7lfiGfHfQK/nOcjYT8ib1D5Und/S+RLYr9QnP/oP2b2v+X+ cfkS71vkwdA3/G2Qx9jvHbHS5aPQOzD1oV95fcZPOeOFvoLFPjvYm4Cjf7jp A5F3cF+iX4Ifi/Y+Ju/i/EKfYj5s19+6/Dy+510f6vL0yD97vNXO9J6T/FNf uP1ibs8IPwj+snhxdt6jfZ/Jd6K9kd3f4h/wcIPEj3P9Wvf8Hsg/Svrh92F8 jxuGnqn9pdOX6E9i9Iz3D+MD5/4N0CvmH343yn+jPT/0KsobbbzxfWTj5T6C Xkf//2h/VJX//2BcwugPYnxbm2/oC/Yx5fyW+oa7np8g/Irpi2O8JaNPyCOs fJtznF6hX6M+mPrI5+BP8vjZ8DecJ/gbzi/yPOSnyFew50D+grwU/QT0h/MQ /d3dnrQzYeab+w15Jucl+pd5fhrH8Bfsz6hP8nw6Lv+L+VTsPgOzP2I+Y7vP bqvun1Jes+81o9P7gvuI9wXrC8beCXkp8sOo/2z/WkuSj3Jeyu/LeKAtdzom vwbzx3lgPtQ+1fMJ4B/CfQq/BGY/0j73k9q7d88HwH1F//kejL2R2GP+dUSy 94becn9xX0X/EHvfUg7/iPwS+Tr2Lbxno/2m8Y/QD96nEl/z8IakT9H4rO7f Kv4zIZ8R/HPMz2vvWdaX+zLGC7T7NMovrD7yZeoz/7xXS/3X/LQfyv7MTf6p nGfuw5jfyPzZxN6imM/J1fko6eMbz9ZVXqrORzmelhF1lQ2r+7+kh08e9Fil Kse4v7y/7unzWHoPEM8IfQTrw3pxX6Lfgp4ij4T/FXuNEN+aeBIxnpPn41iS yW+dPpMPqkr/LnBcpZ8/GJP0T2CJN9fRrPK8Akd9vfF7MZ6wybejf7G9R6O9 odHbGP/RMPSV9SQesv3eNrOmJnrK+oq+sJg/MOsb9b+235HfsL/FPuXwBpHf m7xB7F87XF6fy++R70f5vJWjv622/93haX8g/0PfyH0S48fG+N3sX7EfOPLR tF+t/IJ9PZ5Nbj/N/c99j30R+9nKD3zqMbFfj/G24QeQX3GfID/kfgRzfyLv Qb8FfwyO/rx2/4DRP5X3SclfXVDr9sb5ewgc7VWNvvI+QP4k8q0BzWJ/Yu9b 1g8c32cxHwz7lfVjv8b1NPlZzCdy1+lj0/se+hzjrZo+DPrAfY+9H/eX+Bvf V5/oJfcr/YXfYbzgOF57vyF/xT+q3B+OJT9Kytfg8W+jPtToWeQ/DfP+Zb+i T4Z+iTyi5+gk/8H+ivtH7bMcR/8n029E+2fjv2P+BI8/6vE5RL7b4fmekc+h P8nzx3D/iT1kgWO+es8P6fE7uf/gj/l94oGgn+T3wdCjGL/X45F6/Ez4D/aD xKNYNlHjnRQY+QjyZNrX+E8eHzLKY42+Rfm/Ydarel6fb9Z4ugX9jPokw/CD 8PfY54PZH/BX7Cfk17QPhr+y+XxybkuyF0NfLfFtT3H9CedZ6MEVLv/mPHMf 5uXQO9qnPvIK5OXsB+yjoI/IC8DYVyFvR74I/UGfEvltkxcgX8zLsYdj/sC8 z7DfgP6AiX8CP1ruF48nhb6D+6q8T0p+8rKb3L6T+6dKd6aV9OSINetV3354 g+RziPkU4W/aqvdbuX93uqMhvT85z5LfeZnfB8hL4I/y+P3If6Av6BeIl4W+ ivvchmH2feh3kGdGftv0xcgvq/QvxRNzLP5nt9eJvanRf7EP6+H5qVV/sDjR jzgeoy9ivxvy/fI+w56D+xN+hvpg6iPvoj7vNzD0ge/BfI+8mfoxvnKUD6q9 sb+3o71D1C+w/4mfj7wMfQDvb95rvNd5L1LO+QEjv8/997GfEv1lsHfjvVLy 0x4fJ8bvNxzf6zG+jNqDuvwd/SX+ezFficnzWF/qx/V3eX3X/TN6Uoofh3wU fhn9V7SPMHnEbtX59PdQSX8dR3lTtH/ge+Rl8DPI4+FneK/k8S/Qt0V/YpNv lP3z99fV1fPenrDYzwX7CvUnXZzJt1w+j/1TlT5c4fIAsMRXKrDEHz15fJL/ 2e+t3G+yxC+1+w/+nv0Y/b1MfsT7B/1UfB8ZjvH0Tf/Fe5j9C2a/Rv+qaH+b x3tQ+xfXJ3Ff5/4C8Cf480E/4QfAwj982JToB+cF/RznN+rvjH9HXwu9A8N/ cX7B8fx+WusYeUXUZ5v+Kto7eDzbhel+lvxzIT7Bl+VvjP7/Gh/A/fXhr7Cv ifEZzB4nxvN27PQ62j/Z+wn+m/cT/CryuugPa/Ufrs5/e3pfgW2+hr48Or0v wWLPfP0YjTfTNia9n+gf8gnoQdSXmz1sjNdo5etU7+dc3lLGc/3837WJf6jK B6+rT/xAtf4XDUnen/szw5/EfFfRP/jL5N1GT6M/cPS/5X0S482Z/YbEB3nP /VeZb+TPyDvZ7/CnnG/1/+jI4ot293fL/eHQXyLP470k8TIaxqT9jP2c+PcH fzHWN8oX7HvJh/ie51vDHgX+E0y5xptflOS93Me5P5faY7r8HMz9wn2a+1/l /lXQf84n8wNG3h35LeNfWF/ofczv5/6pHn8cfSz8S5w/G1/kj218Uf5i/Y/8 sPU/yl+MfsR8YzF+Afs1xicwzHmp0v91GxM9gh5H+xuT54GRF8R45FYOf4E8 C/qEP1OUHxpmPtjflIP5HvkQ9cHQ49zfCQy/z3sLeRP26vjrgKM9peHIv3l+ bOf38BfnfRvlE0Pfb0769er89m9J+9vwgYdMEf2TyS957+GfVNJPx9hL2K8e 8+uHEkY/Cz0jHi7y6iq9+PYoiUdl9xv8dW7/Av8wtkrPy/fjRiOnSf5148+j /bC9fxkP6xPH5/HhvZz4krRfykucH8Z+hvnhfUp5dX8MLuVjd641Pdn/cd8S z9hOefSXyflz+B3kxfiXSHyC4jzE+GR2fqJ/r+u/3X8Cfwj2E/Qb+dePquex I8lr0f/Bb0f/VaNn6Pfgf6M/qceb6a6/Q7/HfYl+jvcX/KjoDzrGSvw5e29G /1vTt0f/W8OMx9rdtyfxPhxHf3LDIn9P8f3cnp7zVO1vjcuHkNdGf2SzBxD/ tosaRT5n8sCoz3R7qO724zlmv0h80Bm16X2WxyfEfjTGO4z+AdiDSjyi9xpE nmT0NcqbTL+N/Bb5F/Y80FPJlzHI9a25fRDvQckPVLwHY/4Ns/fl9zT+rPPv Ek/35PEJ5/mNeM/AvyPfBvO+if5BZn8p8eKK9y30B/0R9nf4k/D7rBf6G9Y/ 8mN2fmN8EFtv0d/MbEr9U/2SxyOO8VdMXgVGno38Rf0hFmf8ovtzSXzJBre/ wd5Z4svOcH02/CyY/cj37McYb9PzE3S3f2F/SnythxskvqTtV85D7o8FPxb9 24z+sN/RFyH/RB8R7zvjh6N/vrUf/ePNP4v9rfma3N+f+0zfG27fHeNDuPzB 7bUl/vp7ns8S+T/yG96X3E+8J+GnwOhX0cfC33MfIt9Gfs73yBuxF0QejnxB 47e4vQT7id/jPcN5jvno7T6P8cPN/q6cX5eXw3+h3/pr9fdd/ir56ZJ/grcP 1vw97n+FvSrnAfkS+newyqNc/w7WeB4u70TeAT0CQ3+wV1f5yuJ0v4B5f/M+ 1vgcfp65byiP8fLtfSH54gv+HX8w7GHQfyC/Fn3CsolqP3F/S+JnNT6x+8/H /eLxNbrHF+C9Qvu8V8B8j/4B/QX6TvhvkW/tPzXtJ+QnYL7nPtb4nO6PFd8f dn/x/gDH96bdf9H+xu6z+F6x+wr5fnW+9hwv+njbrxL/6ZQpEi/I+P+SP3T5 GfcD+wt5HBj9M/cJmPtE4p8W/CjyMPhP5IHUh37wPuC+BXN/s/+5v7Gn4/d5 38T8lIa5H+Bvo37f6A30Gwz9rvK7yyan80V/kT/SP/YP9jHQB/ZzpCfuT+X2 eMw39DPKM2290b+CkZ8iT4T/R3/F7/N+B3Me8GfgPNAe44nyWZNPQk8oj/TF ysv5Ksez7GjiVThG/0i+BonXVvC/5fvM7Xck3tqvJqf1xr6R97/Go3V9M/cD /Az0vSpvO60h0Q/2U4wHYfuJ+0v99RZl5T5/YLWn9Pjmol/dsFnjUXw2KZ1P 5A8xH4bxz9E/1d43UR/l412U9GNg5ifm9zB+kPOJ/Bh+Ff/UGK/V5Lcxf72N B/tI5Ku0j30X/E7uD897EX4feUI8D54vqzs94j0v+VrC+0jjJzt/Dv1EP4E8 nPlG3gKO+Xhtf9Oe5q93HPXNNp9g+CnZ78vcnkXzby5K/lKin1/mmPrxvWT1 JZ53b88vD//E+L7MP9PoUfSPNPoFvYHec96ZT8nXU9w/4n93sutLuI+4P/Hv pj9g5F/4H3E+lV66vI37XeMLeXy5qF81eUWMJ2gYeYzt11+scMx4kd9QDpb4 d5eW/Ph1q6el/kEPovzQMPwE/ALzAY724Da/0T7C6A/7F4w9CPJa7n/OP/QB XP39n3t/2c/Q8+g/1s2ebJnvN/v9h6dOFP7a1ifGXzLM/uD9jL4g3w/478E/ sf7ou6AX0CvoCfQGHOM3WHxuMP1hP6j9h++XGL/F1pv1tfN96cpp6i92hee3 VPtOj38Rz1/0N8QfBn4hzweJPQz3M/wn+nb6F+2lDbO+9DfqG+z9CmY+JV5n jfeX9xD9wf6A/mCvyv7Gfzbud2uP+ae9GK/L+Je4/z1/pbePP/WxJ/Tb9dOj hif81RmbtH708rDKhi9vdfaRZ85O8oR/9l3rkSf3dtx2/b86d1zXMf57a3+9 ve2rSx+uvLnXopEvvOz2DRtPPnHHP/7eMfaAf+5x3143Dhye8B0tj1zeOXtY Zek2v/ntr3u3pfY/+c+U1VP+6vEYBh1Q/+xp17Sl9rAPvHna3ydvfs3whO84 +tjNn9rI8T3vPz3krLHDKqcPn7h0izXnpfZmD7xhwxuenpvwZc1r/e1PB89L 7UOvv7L9xmudc/nwhE8ZfdF1z/R03LrjnJVbtg6r7D9kn5cvumx+aq/XvC2G PHSQ4xGf7/7jl0bOT+3DHx/8781G7nfT8ISH7HLG3rfs4HjaqY1tM2d7/X/+ 7oNzNrp0WGXcoY0PTj9wQWq/ZqfvPL7q9AWpfejbuJF3bPXN3wxP+NK2a27/ 9Z6O9/nvBR+88Revv3rXU04+5JZhldV9rn1u4UYLU/urj3qh7sTTF6b2oWcr e21x68fXDU/49nfW+ejgHR1v8cd/n/nQAq8/4c5357937bDK9le8uNN+uy5K 7c+6uNebux+8KLXP/fenM05c7/C64Qlve+m3d5wyyPFtN631o61Wef1//H7Z abfVD0v2a2c88O+rJw4dnvA/1t3jsKE/dHzFzedvMeSfXv+Lfz/y3jkjhiX7 j7PfuH/st8cOT3j3R2fcteNxjlef9fcLtl7D8cvb9zx8swmer2Dpvgse//D6 4QkfNnnNsWN2cvzkDt8dfuoSr79bzS/u6HnTsGT/2LjucQfXnzU84Z/ssvmI zg0cf/zjV1Zs+MSwZB9w7pmjmw/5wnHteld8/HLTsOSffO0Hr4y44nPHf/h4 kwu/PXpYogeNS1/65Qu3jkx45JCdn33m7ZrKjF7/fO6jQ2Yn+dkWv9rx8S37 Or7mlTMm/mj1rIShD5v+9IBzN/l5bTrvV/5vRL/pdW4f/NPLXrjvZ1s53uPt f61aY1hN5ZCawzcZtVlbam/4hOvO+Off52TxOucNHH3cDz6+6sCRCV//3pzf PdZWU2n42q1rr/Opx1/5322nPrHHE46T/e3rh//7yB+PTPiKi7521LHLairj 9n1w7aMvnp/qv7ffNm8sPsQx5/HaC3qdddxNIxPeacr4u2Zs7njp6h82b99c UznqqcvO/uDkBen7p976+x3Xbu+Y8/foQU/vfe/pIxPedNSLK7b9T03Cd37a 1jD1DzWVa1fvu+6fN1uYyTMXDdz3vzdsMGvEyITH/N/Qe9YZ4Ljn4eO/cdii msp/F+zwq+99a1H6nvPT/53Tjj39uJEJn3jSzv/Zb2VNwjfP/uSRLX5X4/Fj Zj/7r4axbr/d1Lj7e6ce7Pjt20a9velfvf62Z33jzbYbaip733XTm/3X8nhL nJ/BL64869UzRia82+J/nP/qao/H86/lb1746vCadF6+cf53f/X4/Jp0Hr56 wUubHDejJu3/la9/c/AOf6pJ+33PDfste/iRkQm3nrv05t33drzPU7f3e2FW Tdr/R6y86u4+vesS/sVmH5z4btHfZXs/tM7hx89O8uKTD2m9+bzvOG4/cd7n t27imPNw/g1brnjhmUfTfu/bdMbilzauS/jA3t89YeMXais7/WXbg5/o05a+ f7vf8fst/WhOwuz39889rnnDvnUJb/XzA7YYvaw4n0/f98f//nduqn/s5pts ueIlx+z3i7d/79KGveoSHvLkG9tv+nFt5bi+bx169inzU332891vb/3MyD3r Et76/o1vm/tJbaXp4Bk7ffazBal+x/v3n7zZLo7Zv70G/nnadYfWJTzgwz/0 33h9xyfWnz+6YYHv53VqH/x1z351Cf/55sXf3mJFcf4vWb7i1XUWpfbZn//9 zSY/PuJ7dQn/6Bf/N7nX/3x/3/Xj72z2xrPF+Ttp+z123crjdbE/95wxt+68 vescb/ngdhf9O+zPf01c0LjY7RXbJvX79VUveL7pvRbuOeHiteoSfqmu9bef vlib9uPxR9xyRY/22rTfdt3n7a/9eJ+6hJ/8ycs9r/iwNu23sedtNf6pmfUJ fzblwJ+tOKO+8n+fLL7ixlNnJ33EDy/98NUrDnB85or1D7pga8c3XrDzhFN7 OGY/PnnnTs33DWlI++/bl16/0Vcb6hP+aM7Znz87qL7y1Cer/vPe/7V5ex8M 73XGf+ck/KP3vrvn4nbH7Mcpaz838cknfb/OOvOeE+t+WV+595qWO4/dcF6q v3fvd9/ffNnchF99fOujlzU5Zn/uceyi9n61vn9X/eAHb21yfH3lpZM+eOHd 4z1eFvuz7xWv1s6Y4/t3rabLjux7W33l1PtOununwxak+uy/jsHvr3rtL75f z5/78rvr/MHxqj0a/vKdI+or2+58wAE37L0wfc/+vHNB08ZLp9Qn/L+lX9nq t7/0/XnQv68a9OACxxO3mzP9L3fWVya1D/rOoWt6/GH23+s3/P3FJff5/lx2 02YNXxxcn/bfa+Nm/H3O9fVpv919wy4DPj6sPu23B07/6nlDOx1POnKHN54c Up/228ubbPPVL2Y6HvzKbVdeeIHvtxnLLp43f3VDpdf6L/3x/VNmJ33plb9/ fbPPDnC8eNNVV63R1/FeIzZqX+9rjtlvT/Xv98j4rzWm/bXzKz13fW/g6IR/ 8/6YD7/7l4ZK28I/f3P19m3p+/67vt3rpTUc/+62dXvfv2xOwuyvnx30UO+f 9xxd+fDOw5996qO5qbzHD36206fPOWb/fHDmxFFf2979ie4d+s5ntW0NlddH dNZedorHU2P/zDtgj79uc+johC8Ze8bZh65sqFz+8UE37v5jj7fGfrnob4P6 /OPE0Qnv1HhZ39O/Mrpy4t47X/N+ZWGqz35Z/vzgtX+59+iEV085u3Lmqw2V BYcsPe+89Ty/Mfthm3c+2qX+9YZEn976bJueU95sqAx88tGRE97w+KXXXr/b jMcXub0D++WJNyff2/Z1ty+97L/b9Z61yei0Hy795t4Prr/f6LQfbvtsl80O vbaxcuHwxm1f/8XsJP/c6tUbbr3qKMdztj7hnfX3dnztWf0Pb+jteJcxX5uw 3/9mZfGsZg4ceth158/p15T2w5KxA15bd6nvl6EHt9ZfdmZjpefiWdftvW1b +v6oV1ZOfPh/cxK+580tlq/x6pxMPjtv4Ft7j37qhwt8vwwevPMP1z+nsdL4 pw3+feLa81L968fvtfRfnXMTPrrmxKm3jwu4a7+s03D7Lu+/6Ptp6+aGf/Q8 rbFy3j/XPfKWc+an+v/7fPAJvznQMfvnhlEr97781sZK/cvTz1u+q8fbY7/s se+a87ZrLPb/1LU2O2uHhd3i5d1wdcMDdzzUWFl+7pbPvPFNt09gf/z2n1f/ +uj7G9P+eK1jp5qPf9KY6MfqEf/5xoQjfD+8cdram7SPakzrfe/KX+762Cnj Ki2D/nzaxcfOTvqzlU9dtm3/7zvea4/t3np/a8eX1y8ZPe5rjlm/69f67Gfj ThqX8E1z//CTVfObKvXb3fv4F99pS/Unjm4Ze1FPx0/0W/rQsg/nJPxC0+d3 DZrvmPU8+RvPbnXgduMqdXu1XfDLf8xN5efd1fDbq/7kmPUad9dRc09cf1xl 2HtjT/n25fNT+Ymf/2nwxUc7Zr2Gth3acMJR4xLe68937ntxMd+v1r848bwj F3TTL7bccfyDH2wzrrL7ib9+4a+7u78A9P93Tz4/ddf1xlWuPmaLD7Z61uMb jt7g1YH1zyxN+NghqxefNLYj4f2a+41Y/w6P98Z6zb7l1I3GHzOh8uu7xux+ 3Nmzk/3O57f+38L3D3d83Y2PXH7rHo7/e+2Wm261uePrrx42bUpxPsGcz3kL jn51+Y8mpfW770+jtn9n4oTKR7+f9q/f7teW6q9/XuO8u7Z0vON+Iybd8Z85 Cf9g47t/d1unY9bvps2/t+yIYydUPv/dQVvuVNDvVP+iS//8wvOOWb9vfq9y 1eq3J1Te+fpR3/zr6fNT+fSPfn/Dkfs5Zr3GNvzgqOFzJ1R+vPB3H95z2IJU vuTcx47+x9c8fuSJt9//07MWtCe83dVPf+XV33s8yZev3W3olbd0ZPPTOXCN PVfu8tT8CZUfrbnbfhv/sjOVsz5jtm94br9+zZVvzXn46m+fMzvpozb7xqvr njnI8UaDthp1/16O1777Z3s8v4XjNebUPP/JGo5Zj4v3qb1q1T7NlbN//8Sv J+/Tlsq3eeHTzxZs6vjVVXteufLjOQkP2/XilZssnpPZl80beMrGz/Z74ItJ la1/ueGQwR/OTeWTxv5z13F/dsx6/OuGD9/f4ZvNled+MXejb188P5Vfsu4j S0461PHlF33x4G+PcH0c9GnJBTNXzVujufLPJSc/ddcLHm9zyDvvn3HqYo+3 Cb0acOC8fbb++6TKscMP3G/jmqWpnPtsjZrJZ//wn+6f+tiYLRtG7t1cWbV5 n94Df9uR6rN+dz+y73efeMvX8/RT7//8Ozs2V2a8e820qVd0+vx1rec3r7v6 hJ2vmlx553dn/WH58bOTPuj6C5YsuuYAxz1/dEjPjXZwPHarx48Zs75jzteW M85qvPHklrSeC5//ycUfXT65MuqITw8aum2bxwP4dOzml/Vw/OSoU9874vU5 CbN+S3+67Q3XHjy5ssHVdzTd3HNeKn9tx6m/PGL53IQndrzZf/NJjl/7/mnX 3HHM/IS5b97+9Mihx104ubLysjWfuHmbRak8yQtGnHLgwQdNriwZ9vKWd63l 8U25jz797MQFf9ljcuXB4yYOevodL2f9j3/2gzGb7Du5stP3zvtJv8UeD5X7 aodzv95x6KnFfJxz9AGvjfX4qJPXW3/LzxY6Zn+M3W75qcfu7vtl/CfH7nvP zydX9l4w5dkDHl6a6k/Y4Pgd733WMfvl6/de/Unznr6fjr/6+yePLX7/3G2n Nd14a0eq31K7TttnTR3ZenYObN30yWMe2N3314vn/GHwj46fXNnto43rrxjc mervdP11Nzff55j9NeHeW+vXvrylsmZl7JoDLpid7KdWzLjq07WOdty+74F/ b/+u46cf3/gvo7dx3Djg9dlXre2Y/TbpnA+bftro8d6vW3f4Jetf1FKZcejY T3of0Jbq99rk6ksO2aot2G8d+N4VBT0Hv/TYJuc+2uH4jI9W9Xx+5dyEL36j 79pj/uQYejFh7t3n/3t8S+WtJc+OePhEj/cGvf7HT7cavPTxlsoeZx7xxR/3 9/i37LdjJvxnbq+Glsop93700MFrefxb9tuKJUfcP/yWlsr+R9/3wx1f9fKl z48/9jdf9fi47L+/7Tt0xunX+X5s2nfhJ1tObqn89q+P9T9uhtcf8MKpm3S8 4Zj9+UrNduM+v9v36yW3Hj13wh9bKqdte1Lr+l32xVb/rhFnrHnTfMfsz03u e/kr793t+7f9mDfWPqGlpfJu78p7jz64NNV/+0/XXb/eNMfsz7sPvaLnd+/w /bvx81e+vkFjS2XLxw//4yZXd6T6l6591qyewzqy/dA5cNDZjX9su9H377of D1q906iWytNnfOex/13VmerffuBu9641zPF9Bx9Qc+fg2Sle8MeffLjLBcc4 Pqmh4cnDvu94xrEn/Xjnvo77rrn+K+uu67jlxs37brlDW8Lfu/zK83b4quOn z1k4fo835iQ8b4/Ouv9+MDfhZ75x6kWvtzo+oW7Lm184dn7C0LN+Pb+18cKi /6/fc+Rb63y+MJVfe9T2R31vJ4+PzH7ba9LTK2fPLvb37dt2zP3Qyzd7ev3z P93U4yez/45+56nP/7N0SqVh64Ne3fE1Lz9v66OG1/7XMftti4Xn/nHAn30/ nrrpG1tf+u6USt1Vvb86Y57HY35ig2vfef59x+y38/c6a9jzz/p+fO4vN93T 429TKvNf3/6nj7a0+/i+9/s9zprrmP12XY+Ddz7tSd+Ph41b/O0DOx33Ov6s vXf+bErl2f/df8MJ9y5N379yY/sGN491/MlXthg1/nnH7MfRr97/4urJvl9/ //z/c/XlUTV+Uf+JRBIqUZGSTKWEVKS9JQ3GqFCZUokyJqkoFTKWQnPd7m3W PF8ShTLc23jnq5CSRiEiCb/zXe/r3t96//ys5znnOWePn73WefaR8KPUifG5 3GPa2FWCDIeVDIUQgWi82REXU9UkMRbl6/5I+pvHYvvNnNxt8V0oxk91TXmT B0tQ6+LjynenhWL9XP9yUSlSjO8+mbzV1JEp+h/I+sSB8zJmYtw7m17AWyTG 15iT2lKmibG23/6px38y/k8/65fQ6vqc+u1TmSi+bkiU91CaVYY/Zw0rZ0O9 6H1Vqk3AJFUxNtW823bke50I788YY97QLMYOs0c9KM0NIrzg5buHSxzF/zP9 qz8O6jrs/PhLbO+Z6+csfKhWhjJb5GXnzhD34/5n359lDhaEKpRh3YmKIPwq fn7+Iuz8O0Xcr/uffU8MXf5JYkKZCLer5Es06pbh5C2XDX7Wi98/+DdpU0WX GFcVlrqcHcMV4X/27vCpOO8Ome8f7o+9obp0URl+XvmledoL8fvKlRNVsE2M /9n7lfEns2aOiv1hNkb/3jyzTIRL/B5sv7CiDLNfZM19WcYTjff4KHVxSb0Y /7P3Ae8Nh3dKlYlwdZThLys1MY4snxe2yrAMm0emj5Ok8MXj991aqVwmxv/s O+m2w3mLb2J/uLbtkHq5TJkIn5ly5rGWhhi71l86EEXm7/L2KGkmfOPffLEr H7z7lCD4P/YmBIGgZcLyX2L/eOLK+Z05pUyEcz/XDc6aJ8ZR52q7Io3K8Orm SOffR4Si+cJsg37vvSjG//jI/ujfGyftKsdv2cY/5Q4xRf0ysh6qnkrdKsa7 m373GxqK8dSOtwfr1MS4Zuhx2/7xYnxrrIaP1ux6ET6+X9ixnNj/P7z5YeQ2 s0Yxviwrfe4iq0GE1VVfStGsxf07/tm/lf37JffXlONA4pvC8kUs0fN//tA5 V6PPwEj8P8v3B9kbFnuUo1eq5IqysWzR+44P/M+OmSPG//wlyKfnbtY6sf+8 NUjxrCfjf07/HF7fLX6/yw76UYIjwpzb4dalM8T4n/+ET2NtDrYU+1ec5cif SncSf6J3qmm1id93cwmPSB4S43/+0s7qnxm7UuxPYBdWIb9djBO5S3aHHS1H K1cVhbxnXNH4wsZFb9VbxHjmauOcO5/E+J//dB+v9P9uKPY3ZNy5+2erGMfO OyoYf6gcG+XOTJ6ZzhON37O52kv+vhj3X58okK0X43/+tKOqVYG5Qux/c/01 U403/H/+uMJjWdY+Mb7/qfCx0uly1Bj6FD96my+aT2GCYZYgU4ylVAPLSh+I 8T//2picqnlJX+yfR+hJHR/NxTisMSZ1xy4xzuuKdKnyLMcXHMM/T0MEovkW zaqWfBwtxtddrKQfZYvxP3/zTxAoGS8V+2v2j/XTF5uJ8SvbEgVVu3LsSDQa m3SQCZ2vff8aHEjEssNb72VvZsKy2X6XimYnYujKg0fvrWBC0G6/SUuECWR9 e51zdeshXjHYQWVtItJvq4/VIvW+cO7LI6MjCeid2J6W9KsOZupPC3pTmoBL 09MslNrrYCc43K4+loDrX/ifUprSCDFLprHbyfeaVXfk3ftG6vsS43G+Kom4 57h+l+OrBrA0PmAwmZWAPU9kNX5XNcCcqmsHU64moI9St2NyegP8MC+JMVyb gDc2ODaYeDfBkZ2mXntPJuLtxL1rbv933pF9++G2+YkYN3Agt4fw/ZgtPRPW tyQgFd1VcWMT6DBM7YwiEjDjlue16DVN8GT9nWTt9QmoVRTYwd3VDJrc5eed bRPRu6Jrb+6GZrgYkTQQJZWIT5/avAoxaYYPG6X3MugJKF9/395BtxkspU/W /zmcgPs60rqHTFlQqDdlwos1iciY6zR501IWRG42Prv6YwKuPDBtWYoGC7w8 XQbyExOQRnu+Y1ieBXZXw5znbkpAwZ2TVWbL2HD/wM2x4ScS0TjRZoGKJhvG rH+/3proIz5V7+YXBTZYLzC+Mo6RgL+y5X68GMeGWxPDGVU+ZP17mlwp0ziQ edva/oVBIgrVvy/8OYbkWymzj7y3CRj2XvWj7SAbjH1XXeok8vxGmTOeM8yB CecM2JpEXgbXlkwr7SZ8sWjAMqI+Ac+cXj3rjoADc7oyK0e9E/BZWNmuhA9c sGnT04halYj14xvnS/K44LaZHe9O5uee7/52qJYL/hU+iqsuJuBqo20FXUIe XH0SsnvX0UT0ETQh7wUPTiuaOUVPScQiXxtWDZ0HzgfHOHKKErB/ZpNLSQYP Nt+r3iVvl4CBHaGTzav5UOwU4ybjkIimC/ar+ebzQZ0zr8vyRwLeeaa6+cld AZiv/bjhi30iqgsre3xJvXFwcnNWwJcE/Hk46Q4nSgirPJiCMc6JWNzzwWfy BSEoZbEjW34mYMH7cZ4B9kyoePrHzyuRivlm066tXMOEm3rFqapnqZhLnX33 0zwmuCS41dc4UDHnz6IXWbJMMJJW/nHUiIqh7456Ny2uB6n579+rUqjIkZZb vHtaPVDfB2ksIOM1dfPfdv2og9Wps/cu20XFk3Zbok69qQOuc0X8GgMqGgtU 5K9KN4LG3JVVH+9ScX6zm/BCfwPESYe6sC5SUZ5RSA0k/GvaR640fR8V/z75 5e5X3gBXWVq5CauomJYcrz3o1QSvdkVd+UOn4rSwZ09uuDbBjrcT13pHUDHQ f9BhwY4mYLkF/uw5RMU+d7Uvjy2bYGv/YNG+tVRMvGpwpnMP4XMOH6K8Kqho 1NJkF7GlGZojG9/Zk/EcnSPLVkMz7GTcW2J8kKw/UHrqB71meC2Z4jfLhIqm +/na24i9Bwbmj4wkU/FyWSxzvC4L3uxTKjE5RcVmGUfPytksWLM20DPQgoo7 pFY5Nuqx4fF2NVP3Uio2pXkIw9TYUPtohYHkJSpuME/YtWkyG14u3qiTZE/F mg4mX2aUBXXRzppG86k4Xc/cMFmWAyZjDqwaT9Z3Yq/ziNsIGwauStcO76Ei MyzwoQ7Jh8nyeVv7tKno8ltu/WqS3wqZstnnHlLR4YdM8sRvHIj/M9hfc4WK W7+M/8kn+e6ivlBvsh0VLfokbTMInzzuWuVlP4eKAebyzLvvuTBQuOhIYzwV OzXyGAnEflvkkiaOv0bFB4kBZ7xuC2Eo5k1yUy4VBzxS7h3YwwS22axHWotT cUPf66k165lg7cfvL5uYihmeyoe1dJlQVXBL1aInBSX77R6HKjHB4MPmDbwX Kbj3SIRy9x8G5Mya6HcwKwVvbFyn8F27Hl4PXbtxbW4qXnY8wI2Wr4e3lepF xX9TMORwcIzhzzp4d6Gc+6o1BQN8qQ6Ct3XQsWHTiGRFCppozPbImdgI36g9 PnS9VJTvcDb78bEB3MKU3+aQ9XSnZaisI/yG52dtSe1IwUcH+wbDiX1ZHvQr uPMwBdVctwas8miCY6yyM93k+z8/v5Mf69QE4UOXXGb/TEFOgHcWk8TTvJk7 tm5vTMECGWnTOyZNUL96/urL6Sl4bqFr/769zcBpK3ekmKaiDz/DMmNzM+S4 EzeemoonQntS+kk8DRm4FPWoPQU9DHT+LNNpBofTH4sbSlOw5sHYtmmrWNCQ v3aKzoxUjN5FO3p/AQsWrJjR/uJ9Ch4aMv21fzoLzt/vL3UrTsGyORkjIdps mD2T5e6tnYqherpHT5H6I0zWdanTtxTcCeVvXQjf+i3xfXgt2Z/wq2XIHMKn /KI1xq/AVHRIqs9fK82B9OXZc7XGpaLQwrbFhdTfzU3LQInoJ75p1Er7Cwde rw4/UTU2FW23vVs7qZcL50a2aXvppOKCPS0H4jk8YL6frMpekooKccaj3WkC WKeepL5XMxWvvp9DCSV8V9CrH1o4PhVLNvp55DszYUutyb6u4nRsux5ekLqB CVjTV2x2Ox3l6lK/xS4n+fhp/HjKqXRcLXvfOHwWE+Y9sXb8aZuOhzc1BF6Q YsKMx8N5divSMbFd1XQxyc+m7bseHclKxzn2F+ezFAnfZXmVUi6lY8rzfjl/ kp+fPL6R3XQgHbVW2f/QIPn5QlEGVRLT0VEpcba+fCO8vfRZwvJROo5K9dwo HmqA0iSHk1ox6UgZMhhdLiTxp+zJu7En0hE6QzzLKhtgX7329nardAyuqot4 QPLvOSfF3kWJZD3vw4xukPgTeo/TVnY8HekTt7bttmiCiOlR/LXr0pH57oRu yY5mqBhYedotNx1Dp2k8MTEn8cdwZLDALx1xbbP9M/1m6A56eGLEIh1pBoNV rutYUHDI3CS1JB2pPMMTW0m8Cc64q/CAvJ98JkB9lTILbN/L9bEgHSvYAc5v NdjQohW0j0fkOTDvVVrdRDa4KGr20Lelo5VebusCFQ6k/Z4l1VNBsKdnUc4f Nmx/0BTvSdZrnbk4VK+DDX99Ly4d0ExHp/PCbWc/c+DpysQI+sV0XL9n3IG8 Jh7cNeEZfEhPxyXl+mv3kPw0pWH4VP+FdFyoN/FOXpQAnksyLricS8dd26Y9 vnxVCGZqkiUbiDwlMl6UvdrHBD3GnGBcnkXi85x7G6yZ8EZuh4u5YhbyF/lU VCxjQpjtjfVWQ5n4pK+ucjHR/+rYJws28TIxP0+zKp7ov7d1eKINPRP9wsc6 WBP90y56dXhpZyE8OPT9LdH/QO2wctiELJTqrr/tQ/S/Svq8TWZnJjIVl+tP Jvq/bCV1+fGTTDyafrvzlUQj3Le2O2O7KAubaNxHLh0N0P5DL7RVIguXU2bE 9tc2wKSMSVFugkyMinc4eTqrAVbYdaUOFGTiNvzAiXFvAu4T++0HNLIQV++p WEn0z9SxC8z4kol6KznJXPMmeBy9Pbv3cSZev6DSEU70f31ZyPLXulnotPHG DdbaZvDhWHj0kP0uVvhjoLSkGZx9JtGGKjPx/JEQe28LFjSOpvE/mGbhX6+6 obNLWNCzuebutpFMDPRTir6gyIJxyR1nK8sy0czvwc5Ti9kQLt+zdC2Z/wdD x1JJlg3KSxs5La8ycXBJQOZGwpcuq62lHdPKwusrV04KSBeAumdpas7iLNTf y/hjdIQJc+R/Lpr5PBszWAqyE3cwYbaZ0ZfkrGxUtdyjLAQmqHqdubfgWjZG PsiYf3cRE5RTys8XeGbj+KWfl/spMGEma8jCcHM2nkszXmv9mwFKkgZyVbrZ qPjjV1ThonowXMex/JOZjdbTZB9Nn1oPy9uybnEuZmOA9qwP/qQ+XRoQ8Drb ORuL1+vItbXWgY7K9oXBptlY66108atsI0jdNfZmVmZjJb05Ye1AA2g/LTRL u5WNJSM3Sm42NsC21wumBRzKxuw1VszXhQ3g+4Py1p6Md3hm5qtxpAk6Zrda lRZmo6b+j5dGDk1QUjtvqOZcNg4k5KjaEH8NOXqUxrXKxrpSWeY6y2Y4r/Ei iH45Gx8tv3nMlfABj/63WvMtsjFPIn51qgkLVJwUuMyMbEwMDAjNIvl//zGX wLJt2Xi6SbDzpg4b1C6eeNZVno2vDFTfsyTZINwvO9nCPBtjlJa5hhH/kgjK k6MSedb8eJJy9jUXJm0LP3eR7OexbenLxF1MEAgmuEjp5eFYWp9JsRkT3vnL +/ZPzcP1A3MLn+sQf5g1K4w9mIuXVztqvib59esjrZQKTi6+vBIZPSjBhNH9 enRaeS6yNhrL9BjWw47Y3FnOpnlYZFAzPDS7HuauGQuPVPIwYs7WLslxxH/e OTir/sjF4xNfcaf01kFFaOEFX3YubvnqWjOrqQ5CtaUzuAW5aLeEo+78owEM G4MmSs/NQ/7b8LEq/Ab4vX3v/pKhXHS6Zf2BRfLrU95q+r6XuSicee9U+6km uBJlTGuxykMO13vOl71NoLQre9OOKXnYeEuf+de6CdJUVIebuLk4+c6hiV3E XwLltbRDDfLwK99n6cFVJH6qb3hu0pWLY/o83mUDCzTTZqT91M9DC0G1xiwl Um+k953kVuViQ+iO2E81PLAyPvrKSC4PlzX+OCP1hA/1huHq58zyMO3OnuRb AaRefZL7tPpJLtq7e0vU5AigMtJHk7o2Dx/e8FaeEiEEuTUMXyaZ/8mKY1jg xgT7XX1nOU8LUP1q7KzPW5nQbLxe90d6AQa8fjK8dBUTNqkmtylfKcAW/Y+c k4RPvxgdvmXiUYBGoTOKiuWYsO7N9vX7NhVg9Ku1YV+HGVBVlfsjWLcA3TKb S2LWEH5dtdhQ5mUBno1y71PTrAfmnRP3CtIKMPLC77kZE+oh0qPc2D6oADNP 3nZcMkDqTRytGHEqwEf7Ft0qZdeBmpKZCdWwANuC4g/pjzZA9fcXjwJzCvAM n9slJPnsVYekt/25ApTTneYeQm+Ar00mi3Q2F+CFbcm5XSSf+YW8ejY1qwDZ +nt3a25tgu1pH8teHizAsu+NSuXbm6Em5EbWm9wC/BOiNCmf1IOsZ7umdFsX YH9bQzh3Hhs+N906ezCzABnMwfPm47lwrW2Fzy9mAX5+AW+annGh1/hvxE+H AnRetnDy9zweKJ5+pDmyrQCrhq/9CuHyYHHQ7xkJjwpwiGPwzDCbD006nve/ XyjAPXsW/DYKFMDC05UabpYFqK0oNeNovADeXrV80HKnAGUMnCxvHhGC/5rb 3vNtC/DNMRVG3iUh6JUdc54XW4C03/7j15H6Xy8y48hDzSK8wG+cGm3DBM+0 6LUtikXoVjRPtYfoL5MeqvRTqggtr/tpmWgxoYPh06f0oxAXuzXo3ZxC4uOb g9UrugtRFjRXtf9kgNOXHVHbhYX41eW5fpJRPajo8wouzy1CjgNuPkz8q2Cn wnfhlCIs3Xr/kIFkPZgH2pjo/C7EqPXLLo7pqgNBWlhIYG8hKk999eDOzwbI dHv8xXl6ER6/pFgVzCH84526xMdfhVg7suXJsYIG8NwTJOfbXoheu8Ji2Cea wGGp8nwlsp9wnRznbrsm+PqsZ/DRaCGmD+RUM2yb4Rk7/dcu5SJkDlkrfXjH gcQvv676DRXih+C8JMMKLvxZSLGe/boQ3Y7a1p4TcmHFt7YiuQlFmBWlVyed xoMra2iXn7cW4pklz48OPeTB4K9XHw9IFKFF7d4pHXwe7KlQtPtDvh8zfNiE kcCHrX/GPYv9VIiKCe6mNsV8ePpGXfeyXBFOMF69uuCMADLrHe5rkfm28NXP 8K8LgLVddRWHyDfq9PiSv8kC+M1vrQhRKMLkRCfQPCiEUpXDBnpkv6rbT3nd 8BXCW4fU+jNEHjHS19OHrglBJu61WzXRX/VMznwPByZM1l0q3LW7GPft2/Ow fB0TblM/gtfmYvyT/sF2LKlHlBVyMq6bFmNS//HerTOZQLl0aHK6XjGuXv4z KFGS8M1hLe9H6sXoubTK9fD8etDlTq09vbMYT68f17BKph6ubKJ1qZoXY6Cj taEs8b/2p/oyT5YW45Xj4dTXzXVgsvqJzqHZxcjYw634odAIjc1rBz8eKsaE wXbmsr4GmH90it+nTcV45PLn1qNPGiBgwuu/n8n4ICWHlfMdmwA3LHDZt74Y 7Woup85YxIZiz+k57mQ/flsHbRRJ/i6hqL+/6VCMtImB8tdaONCY2nZBW7cY bxlsvHXjOwd8eSFz19kWo9ELo6D8Oi74jAy5fDAsxkkDep9Y7VzYaRZXt2VH MV7WdAw2LuJBSR+/2ZZ8/1aSziYnEi+PxnzuidtQjJQZf5UCiH4Xrpso2eZa jKfoM4u/R/BhzMo1TgvnFuOYSHr3pBQ+pD2YMpliXIw3PXbM0Sjhg9Xa9kcK 24pxlvmQ/coaPvQ9Kz1xleyfFZev1k38d3jP1KDABcU4+LZeMyhcAGXqcaXd JsU4bf7HhTMpAvDq0OjZvr0Y9Y/I6hbmCUAvI3v2Q/dirBjvdPOVhxBuVUzt VVpcjEuq5aVt/Ih//7RSHVxTjFQ/RmDtZSHUGQZvqiffl18e8n1VtBAO+dwP yHIrxts3G+iZh5mQq4Q7PmaVYMapmAtcWyZcTraP/RJXgvd37t861pQJBxZ6 vhq6VoJ1qxep6i9kwpqioFkjZ0vwzZzBD3vlCb9ZFb33z5ES/DL2QfGNUQZ8 fZJDldxbgtF1/r13TOvB+PdOtXN3CT46W1tNg+TbrMf9GEWwXLVn5th6OGWr /UAquARjCg7kLv1QBxF/7lxlkPkCGAdSlYYJf0lYLWkYU4Kfby3JWMRogNpD f+bknylB7x7TRed2N8HZ065mkmR9XdkFI1GkPiiX3GM8Pa0E/Rdv9R4/zIZ+ zA2O8i3BdyO1FTLEXgKZhSc+x5dgZ2d6vN9rDgxtWfBwrVcJ5r94vfQEqe92 HGNNyQ0rwTM5058flOICPSzggBJZ/0pXhYJTz7kw/vzPi1rk/fa2WWe8BVzY OL5gwfmrJRi+Zz6c7uFCZJgrQ0Al8ojU32R/lwejLK/lfQdLcArtkafrPR5M GVl5KI7Ib0nhxuunnvNAQ+NXomVECW6sEmSH8HiwwqqqeYisX+FO7Jq+KD7M 8+yb7+pRgibG+aNxqXyouWNwUjegBN3ePH1gVcQHl0fnHwzfJN+/IPT/8YgP Y7tfSj1NKcGOlc+2dp8XwPaXO2Q2kfHPiuwe3rwhgKGnFfRc8v27Oh2LDeME EPtIzW0y2e+NzJOxbwj/XXU/RP4YpQRf/xKyVx8WQuPjG4obD5fgLunQTUqn hWAb+n7DLb8SZMsvq/0cJATeBpNgIdn/FrU3a5g3hOA45Q5dncj3xaJr5emx QnjN7vvonl2CJzTXSjV6MGFk1+Nmrb5STD38OrrWjglyn/oXjGstRX6B38JK Ym9zL80MbK8rRZnv0yuKib2tVDXnVD8sRVOT4o13//vfpej44uT8UjwZsuV1 MrG3vZYJQQHJpbhxhsOXeYRP5z70uKZP5jNimA2PI/EponPRXtazUpwfoPP3 PeFv3pN79E8VlaL7ek0zRVLfHkutfnSbV4pffQI4iVWEn9EC7V+T5/IxJ0sX KrEh7kC0wKy2FKeNs4iW0WXD1RzLUbkPpfhqV5xtylc2DP52OvOrpBRvvlrZ +t95pAPM7rAv9aVovpvjelKZA82xp9O6usj3leJ27WNzgDIuv6YxvRSVLXLW K3RwIGbLp437H5SirM/DZc8HORARu5T9uamUxOfGOWclCV9oP+kYTL7XEHS3 Zs89Lji3K5e0UEox9rfNOAXCHwrt7PryyXoP+A+ve8Hmwt9n4ZohNaWo8yP5 QsA7Lmw1fulkzy/F76csny77xAVKztg7C3tLMfpbLnsNyWcOKa1vHGmlmLlA Kzi6kAe/xkYf3Fpcivcck3Q/VfIgyW3rwLqnpcgIm95q+ZIH8HyCjxGnFFuq w65SCT9pW/jkt05nKZ5de2f9nht80D38mldM1ldxn3nxXgwfYPwb+41EXz/1 x9YoEPu1SX3D6SD6NMxeNfY4qZed8a3tOSIvn7leZoz7fDj1+i1L8XUplsbf Ddaq5cNF/7Ztef2laH1a4usHwk8dO1Y9Gc4i80fcnhN8RQD3s6bNukIvRe3c +ZtUbwtg5rHu0zOIvhOf3/ctSxLAmeVVjRlkvbIdm9K3ZgmANxy1aGVHKfpG P2497iqEZ4/aT8xNI/Z2aeHFk8cInrhzRxuRZ+Kpm9qnSH59bsdcTakqRd0D 31neIQQng8Zust5qmz3+PsTeX/SWjFdpKcXtUKPhS+LrC4OF/fxuYj8LW58/ cGLCj+eJ8cZzy3HIcFDzwHomTG24/LpNvhwFlhOCJugxYRHHS/3K2HJ8sFOt NZ/kX7NXe1z0vpUhxX2FkT3Jv45tVhm892X4tH5TbivUQyg7Mc5oSTmmm66r i1Ij8XXdjAX7lMrxSoFx/5bfddBfHFl66W8ZeqgvlZ1A6sXkubJmud1l6Niw mFvNbYCM6V++BUqWY6fRJcfXu5she8xZr0va5YifXCdON2BBU255iZRCOXas 7j2x/A8LFpp21r/sLMPrz4x7FaexYey1ybfoZP7l2666fNdkwxuuwY505XLk SbnTNHrYcEUvqHn0QxkOyUV0LyXxV83/rknOrzJUnHlfD6U5UFbDynSYWo7L Ndp9tipxYOOUUfkJWuVY0tb++m/Tf/Z/x+RXRxn+7R58LCTx+VsrbyVtqAw3 fJHMKOnlwC4NZX1L6XKM/il/LewHByrdnLQ/zizHd2M0j7mP44JGdpLW7cXl OO235mfKAy7sK1sV95jI70tPPnUiid8bAzdtPk7k28wz3ubN4oKR5d4xs8eV Y9HTmjFvSb05b+qJMgbZ/63CrcXWJJ5PEwYf9tUsx8ORHJxA48G+Z6a2+9+U 4YlPmzxO5vDg71yzvbn9ZXhmc+3tV2U8SD6//vDwSBkG5qx5uK6a+Eurlbf5 xHK8NLH8Qy6DB2+NNp2PmFGO1911pyoR/wmK2nqtlex/Uqzki03hfMgIsJzw sr0M37KGZ/wg/tMkT/8l97kMSyZ/cqfR+PAzc/4nu99leNmqk74xhw+aa6Lb 42XK0elCi/T3Uj5sYknx2sj8eo+ad1JJPvBxP/1yPpnfpLbAz8VfAJu86lbf JvpMY1zb4n9BAD1+5zLkBstQtslNM5Lkh9BgnWnX/pShNxeHM6MEMPdq61mp SeXY+kq1/hHhI1URNz4EkfnN277TuJkCcIo12TZK5MN9UfGM8l+/VO+B0pvE 3k5Iz2uA40J40p+z6zCR9ySLMG7bGcJHXA+PmkmUY8bF763BJH9wW+dTZ8mW 49qn+97PvUr4rN37dd/J/K1jXvY9jRRCdx2tq5HMf9K3SenkISac61Ja6nyE jj/cW5blbWNCjbVRYNVuOgbs/LDlv3pFNtehbvZmOo61/OKhRepNO7mzKufW 0PHqytFQ58lMSDiReOjVEjoyyue95c6pB4NbPWlZu+go88hpftWvOljI5ve2 AR031N46msWvAxXFZ0uVF9BRkLSv44QnqS+sWE7cA3RsepY4WdeuGVb4WvVL OdOROnQk/o8cC14U1K/WUqfjk1W7cg00WdC902FW92o6vj+/7tERQxZIS3SO Zu+ko0XN5YfNIyzwe8LPujWXjgbHlfQ7J7Jhxj7jRgtDOs5TSU8bnsmGsl/x QyMb6ahQu3ym7EI22MaOqhbsp+Myic3rad3E/9Tb1laQ9Tks61k8eYgNgScP 6L40omOQ66WpfmM4oPbkvYrAmo6Z0Rrf30/mwEN5d+kuRzo2vnjYYqPCgT0u PV+HPOlYE1wwTpvkp5Ue3fYuC+nI5HgGjxD/+/Uy7cNqsh7WgoV/XnZzoHqR 8xlFCyIP//f+cV85cPHq7Akf7ej4tp7649AfDlj3CGNrXejY5T7g1VLFhSNr Tt2V0KHj8ED+YPRLLvTIKxruNSby9jnutZ3kK7fu0poHZD7V33qDk4n/tT+0 365M5lty8fPJlx+4sPf297c+RL6mk4q+XPzMhZZDMUc5x+i4uHcLXSeLB9Gx cpOTFtExq49ZPpfw968lFfv7DOg4/6NV+cwKHtg0Hiw1NqNj2kBtmdxTHuT1 yk+4soWOcz+blY2r44HM+ConHpEH9UtV6QiHBwc1PAvmuRN7eRnDlb/JBw21 xQ8stOiY/FzKzpv4o/MkR7WXS+lYXnuKxU3mA234avBGEzrWPX1nY5jFh7bO ++/rLenY8XhrY2whH9TZPZY2tnT8WfVw88g9PuyrVs5h7aXj1EfadU6P+ZCc Zy1n70HH8Y82WGj5CGCD13LLJRp0PHzF+ZE8qQ/iTY/ZTSXyq9vuu1IiVAC9 Mnedv66ko97sm/kfwwhf43cc462l462u9PktxF+vpaqdu7+JjkNFlZQXJP+9 Ou5wNZHY265zbKVywu8WmdyJPk/st9KiNzyV1BN+ExpTDxylI2fxyHCashDi +pXtuOVxuPDOkojJE4XwZXpuYpFTHMoYPPsQoSeERfRtVj7k+crSSL8GNcL/ 9pVsCpWPR4tnu/eYWPMh4kHk+q4mCh745bGi0IAPjaGZcaFuFNS3K9zZvpMP eQPOcs8aKbjGXWZ78jo+hKUuNFKAZPxUOXjs0zIBtMsEbvvcQMG5XR+u/lkr gI7dv0LPkvdzxj2j3F4igA/VisJU8r6lr95x0wM82NuxgB8uk4JzbSZlRJ3m Qmeeq8KJ42mo8OF79dkLXOgd27fR5Vganjv03L7qAgd0CkJV0wvuIu+qcFZi HBusNMb7ebbn4LzU00uljzCgVPmn6VBRHPoPfefURDKgs09CTbkuTnTeLl/+ 9rPW1Dh8YdN8813hy//pnzUYh2qHPLxDlgpA9bNg+4cHcXjkptxEVBeA5N0E 36gDcZh4bsvNEnMB6LolMTor4vC0YF7bWnsBaHZMkf62Lw7NfXWuTdUUQHjw zas5p+LRqZXe/Xc5qf+3+KSlKcWLzoe8HppxSuqEGAe7rAxTUYjH5dfV3t51 4YGrynjtaz0UDF198gHHhgf+tswWpRAK2ninWdgf5sHhYn7c6W4KUiir5jbb 8eDS1Df+Cx2SRedreKHN1jqWyaLzL80juxW7TZKRN5E5bKMuBN/qi8HL3lHw 3sj2DbaThHCk6t3vjqMUvCKv/TZ3oRB27r5sKt1OwSWWB4P7TITgnvJaj+VF wcrygNJxikJ4pfVdMsg2Gf2zBTIuJ7iwaudi6S1vaOhSa2mYfpXkX+vZaxJe EZx/buIZ8rywPHVZzZwU0fmiVzeuBy+bloLDoMvfs5EPN2fuaZ8zOQXHBR17 oB7IgeXRxiEpG9LQWL7bhZvNgdkh1+tum6bhGP3Bi4nXOGAT3f9XISZNdP4J r1WkzGhKw/qXffbS+0n+NnmtFXQiDed7jsw9fIQHZ7/VPwg4mYYbZeKlcjfx IHjDbOnsF2n43d+IRw/lwOt1Ez9Q52Wi0b7ns01PcSHpxelxr2ZnorvyjrYj UWzIebqqYZrdXSyd3LW67wkbFBYdWH3I9K7oPNdPx+cfHpfcxeKp48s0DxH7 fVXuZGxzFzWX5qy5R+TxSnbH+p8H7uLBk/3dW6cK4XJYl6w8eU7nSORZzBZC 3/7Mg9UJdzGGpbt4dw4L5r9yutDFyxGdN1OVmei8YEou7lARWr5YxRb1d/pS fv9l9GUOvMnoPvh1QS6m2i3yqpEWQnTN5GOnH+Tgi4iun/E9TTA5bUjHWaYE NSOVW/wIdtDo3lI3idT/lL+xWz3E/aCG3c0ZLhUs6LDsuNQgVYL6EtFDh2Y2 QZ3st5f2R8pwRqrjc86zRpi3YEXqrLIy0fl8XkFZ8vb8Mkylz9pk49kk6qe0 tn28sd7fRtC/7vXyfkM5OsrWKF4l+Nokq7r4xnI80VHrFSEnhPntSaZTi8rx y4+n3hVKQtDbN3LMorIcT8k+8XlP4pNR647kc8/L0d/RN6BORQjXR6bzSlvL cdzgu+CZU4Si81PZDgvXr9EU43/9rN5ASrLDZjFuqTNvUdsrxnyHLqX3JB+9 XGuTpHBT3N/9f/rLM+Bb1uNgyi1xvxSdI5X5j63E/rbGdty1VVtTRHjP9tzs oxPF9j4+18lb4qnYXu/EFLeozcwU4aDrvEnzWHfRoXxCovv/3hfwX39g0Xmv rgWF3zXE9/9N91XZv92tVIR107TzLxSIz2u+XBST/ORNOf6e6nm2OkYo6k+b 5eD+wGs8A+aYDL8Zio/F2G3BrHM7hJBE5zK4CnRUeithuHavEPbMVT4epEb4 xMzmD0YHhHDnyYw2e1W66P72jbxow2OXqSJcYMm6+V2SJsLj135f4lxDFd1P 1l+ZRRMsShXhuc/LPOzOpIruWzN8uy4j3k98/9oHz0nTa16li/Zju/CEcB2J p/8w/2Vn6ezp8SL99c92sDMbjRFh0+hgc9dMMa6PDdGe5JgowvdTZN93fUsQ 4cPnXZoNHydi2MDLS6PT+FClkqc+V576v/3UBHBswcB5D/tEEV4ub1LR/iVB hE/PV7tOr0jE0prAzQ9/8CG8epV+zdUkjJ4V0r1hAqlnPe8oxRC8ecs8/u9v fAgcMtZL+pqEdnbuE2RIPTzVbUeq5vUk5HyiG10NEoBF/oF+x+9J6GFqvfjL EQEYqqt23buWhKkRH6XfLOTB/M/ZsyJjUnDhNdP7k9ZyYZdu5ZkI9XTRfdMX K+zZz2SyRDjp9fYtG69n4VbTjL8NGeL7u/71U1t4VcPN/l4BGvvMfuMTygcZ 5ewvlKlUtO49ZH+W8Kf6l7rZiQQ7xfR+Mk8i+WZn5VVBVAqu8vpgeS2NB02P D492EoyjspSzpVyoWr/UW39WOpZyLANW3efCiqy6C8sJdm+U/rykhgN1UhOG 3odlInXt6V0MLgeOXfz0oe1Gpki/4dGzT3toiM9Dxq86sY+lTxfZzyuFqWNm 3BTb12wdqZgiBhWnXZ5eRZ3Eh0rrg1LKZjRU3SKrslqdD5ahxkPaBC/v19yR MIEPuguXpMldoGF2vEXw02zCH5UFDvvX0TBx3G3e8XwedJhlPI8kz/v1rXO3 xPBACfc3yZjTxP+XeVnP+RlCE9nrPZdCy90Gqfi7as8Kjgax99+23+/WpqL3 SoPydgMeqOecHGkmOCk5U0O+mgs21LjakecEx430yuZz4d3woy8zX6aK9JVf 2+7mES3Wp/T6X7nCwXRMv19pR13BBYhYfO8dZKAUTWtAfysXjvp+XH+M4Lrx i6w38ol87Yd7t1lmoF+pk8WepxxIrlkwd9WGDBw1n/Ln0EPx/8X/9F+faWwz c2MeZs8onBXmwYZKixMdB4fyEDo/HHohxQaV+JHnBVPzRfmIT32098WvPNSa EVVB7RH/j/WvH6QrfXe9RWEJiT+7dc6zG0Xnw4eecfbJWTRBbtoMacXj4n56 A0vch5DUQz3fM7Ju7RfCUt5UZ7O7sZiwIiYqbo8QNEsLd5oT3LsiVrevWwAD iwVLJugmoHUzM/m4Pxv8oUdtVUMubk+Li51yoRkWOtKvuJuU4OyDR/MS5jWD +7oXnTfWlIn0pTc/jv53Thbe7BzJUVz1nz7mxW2IyBTFg/gpnpJ2rGwcU6a0 gpEh7t/5T14NsilcVctiVJeedjKP8OWvH6kRSfWEb//JmVZtzIejS3Z3zPGJ wyf8kQ0XCV9OmG/OUSD8kxtrJKdyiA81OqELf56IQ+ktSqxHhF8vuxHHjr4U j6qhDnvLLfjgvnnPGJeF8aJ4+jQvP+Dw/kQRXryxVMr8T4IInxq4muNfk4gW 7+wv3bvFBy8rTZnbN5Kw2smqYEc0HyRWOeVGDSWh29bs93su8CHp2q5Le8OS RPdTCLOfjVlF8tW//r1bI1azBjzF99kditf78V4lE9c/b6qsmUX4YtCTFmsV sbwkptvXx8tl4Tdeezj7sBAuBVV9O/8yCz06IighKuL7W/7dj7O1Ud71xs5S 9HI78apQRwB2B5q/6QhpaGcLre6WAig/2rOhsoWGcuP0lo7TFcDJ+291fDVS RPF25PjkB5PCxfH5ZUDhWKfJNBFWiO8PHKijokHdnu9vlvNB/mKJ3bnlaciM 7w1MIvqaWBVUwbiTJpKfSutHrrJxqggPyl4JFFxLRaXxFQc9d/LgwFWTDeUt GXho2eRMLS8e7K80fxrzPkMUf953OPpzwtJFOMupY+WmH+mi+wn3vXby3KKc iQ8Dyt0bbwpF9wf/60/tcu3SDAMiH7bE6su0eTzQV+DeC9pAQ+k1V+6GL+eB +cFJGU7WNNH86nXhvT8v0fDI09pUnTVcqHOXvhvEScUXpmVuEpZcaLRSfK/A Fvd7ufbR7OYspRS0ejL8ZekdPriluk9TXU/DhH1KG84HE/sKV1h8iMS3/+k3 zAc/v+Od2rVUzNqgVfy5jye6L8EuRPtoN6nXC94uSLZjpqJbm+KY87E8mDnx 96zFjFSRPcUu+q0/V1t8P2KLY8CKDUaZWDSa59X4mAuO77RUplhkYD4IWybn cGGJo3TU/XUZIvsLsFoe3NqajionJsx76CUAbagcX65ExReKo0tMzwhg4ckG uT6C7zpKVKZe5QP9m9q7C6kpmH/z5Hf1BB78qh2pj1+WjvKPRrCjjAvHHkn2 rc7KFPl/6zb5c+bxmaiYrNy1mNjrjmZ1uHEpB1MzG9Tp19nwQYo/9Xp5Bpb/ dNsrm8GG/FN1ngKZTBHfT4ulHr8JmXhXaxKTvYMDShH6j244Z+DVmdknPu3i gOmVWYaD+zNwzJi9S88+bIb9XemcdVvzsWDNHvk5r5sg1uZLWAO9CG/N5A7V NzbB6etK95I/FmFvO21BflQzyAxXcDmnivDDaSFsvdkM71O3RO+6TJ5/D907 720jDF7t6HptUIpz0w8+mDqrCW5ZBo22a5Vi5yn3J9v5jZDL2dLndKgUw6Iu 0OnTGqBzwiHrbQ/L8exSz3kq1g0QruHmZfygHBu7DaTt5RpAZ5+T6p2Ochxd fW/hLJVGEV9cOKtPbuXxRlC4K/HrtWc5moxt97/p1QgXpsmWFt4sx6J5u8I8 CN+W25BgM/yLhnnmgyNRWiQeyN3c5DRKw6S3TtungRC2qysf2ltOE/Hnj0t3 SRquSMGUiLPWlr4C4DiMTQmyp+H1w5fuXz8pgKCw/o5WOxquTDwAvQYC8JTo 1dp7Og3nvateMttUABftNH/M8k0T2fdwO6doSXka5k1Rb6SG86E33cbKri8V NebLpYAzsfd476FKXgaW/G1SPL2SD7d1aVfMN4nvp4uWn3u+QTETGzr2dwhS ObDMuPe5/p58dMqzddYfx4Kl9p8CHn4sEcU7FfUVBqeoVBGuTV5y5NM7Kn5j c66nkfx0YffYFTYHxPHoUR57c7psqgjvG40zeLM/FWXzE2hTCR98cqvk+1RJ cTw6dMGaHtWUjtG2necN0sT/M//LP6db7wTKXy7Bvj8SDo99WJB+S8HXsbcE P6uduaG7hy+qX/7Nl3zjbNeXY7EivPdDEP2YihirYejlvlrx+2/iru88dFLc X7LJrDrQjR8v/t/mZliYl78Yn25xTDw/W8zPJSkbEz9JxomeU/xkJOK/ifvn fVwXuZvalizCBhuCJc8dSsb8Ws9Tx6+J75v5F49cb3nw6Z9TRPhp9c2MdBT3 q7JT+Ox/lCbuj9ZTnmXX6JIiwhNWFXQ7ie6T4kP1c5vDxj9SRf3mP11pPnbk TaYIJ+VVPDv6MkuMJ/NPRmwV98PRnNaSHxaZIeonrNjfN8iVK0SqciYzhi7u h7DYdNxpE11xP/1LoZavHtc1iv83Xu97rkxa/H/aYzitvbNZ/H9bnIDpd8e6 Djw2xE57x4xD9VGXxQZL6+DvfOpi/dA4zJwz+oqrVAd3xmatC8Y41F1357rP byYsaivY3TwSi+UHdUxmvGdCVSX9tEZZLApk5m69qdkA2wZ3r//dEodebxi2 9RMbIGhej5NpVBzKFp/aNelzPRTsOO11fguZ/9KsPda8enhzZczVauk4XOtQ 63y5sh7kHoQlj3kciy3jsvhCEk+AwZ8TTo3DzcdKrLnsesBlJgdK3sdjnFKw 0v6hRqAsDP2Ry43DCL+gz1NaGmHzfa0o97A4DG09z6iqboRR69plc9fHYQCc Tzue0Qg5r1ybWkdj8VRKYOCcG43g5DnuWExpLK5vaHd0l22CFr/y/Hv5cdjr V+A9R7sJfn/63f5TKg4llyypns1pBP3nZoYunvHIYWQ8XEj4qVGiPKX/Yxz2 7bQ4VNjSBBJh050GUsn7nZ3yRg1N8CJg5szPDnGo7HXpYVV1E0QeU+V+mRKH +n/nHbIsaQLHfWq3vtbGouGvwKi8viYQMAokv/XEIctj1eDvsc0wYcnGSFfX ODz6amjLllnNYHTzwxzuGyL/hnmvp5U1AVtjdnf/9AQ8eeiFmn9TE8Qvu3F6 3/l47F23rWlKHRnP/Xgn+RnRb/G2GeaPmuHE4Ffg+8fhDvXte30Lm0EwZaRX Ti8Ob4RvT89NaQZcIhFt0RGLo2fon/a1NcOW8nHzQwri0OJAgYHzUDNEJnt2 zTEh8t6UefaADAvYV1hZD1/EYv65Kv/MxGYI7b0+P0QzAduadTYllDSD1XTn bUfT41F+QfzsmwySf3DluV0LiP6KZHTdHrCg+1uMe0JHHE5etS1xfR4Lhrsc A8ZHx2HwkxiZ+cksmNAy+/ZJqzgc2vDGd3wkC2Y0tGW1Evvr9Xv6qv8xC6Lo G3NM3sShounDKCkuC14YGMjvOB2HayTpNmrdLBgpUfM7LhuHjTvP1pZdZMGn FV/PBxF+f20e5+uKOBbY9Ca87X4Yj+u/6MwtJd8vTjaHbZvjUcCmjhaT/Fx4 alWpd28cFmtRVTCWDdMMzeYqJRB5nUk2qr/KBq8R6wj6xjh0f0nZ4XiWDeyH 2/7sIvY1uu5ioHo2Gw5lnWo92h2HIfTh4imVbGgcDqf0XIrDidpHu/7Us8HQ Onu/m2Yc3qS8Ux14ywZKXO3cd9WxOP4nY8Gck2w4KTHjTKRGAgZ83BO76CIb 5B4v3/vzXjx+e/d5wooYNuQG26x3tonHN0c7LbZd50CHgvnuO6Qe2LiNyb1+ jgNHXCssT5yNw3srilyfHeXAUOnS5ZsWx6HWzJivEvs4cF4qU22hMBbv7bP5 7B7PgS99UuuQ2Mv7w823KDkcaIpqfV/kHodTvbcbcCtJ/QgloZoT4zBrHA1c XTnQv8R+wveBeAwLZFhe9+HA9F1Vc+B6PHoNf91afIXwlZBFhleIvvUWqPyR 9OHC+MozxopNcej55sfdvoOET7qH2+oGkHgQxbXn7ORCrEL6USuyvo5NJWMe WnHBuerB5QP8WIxuuavtfIELs3foya4g+7P68UB6wR0u+L2W1ZlG6p0R+YaO /jQucF17Nw4oxGGubltVMeFn+v3PPZn0WKw4Ii3VsYXMr9ozNrw/Ho3caiKC 9nMheqvcTgZZb/me4FlqXly4c2F59njteLynrvik0I0Hav3NqUMDRD+XTWSs dvBgUsuXTJt4ou8B1+1vLXgw/HJabg6JL6b2YfE+hjzovKdfOP4LkWdsk+Yi dx6EYUVhHhlvZtO0Jf8M4QNylksGbsdhnXST3/IrPKC0su/qGsfhzqrGtHuE 72Zm759/nPj3uYg2tjnh58yrvNiKSQkY0u864Y45DzadiTdLz43HK1Y9Jh32 PKhz3dt/k9jrZi+qRJc/H04G+Y8Z1xqPS+atcLqRwIdxZq3fjYXxGKF3591p Xz54a5/RGY5LwGfKEzjLSL5bMEAbc8UoAXW0ZzHfnxIAv+fWusnEP65y0brw gAByiItda4zHbEm/10t8BHB/0Sn1H0sScJQ9VfOUqwA0v/WoON1MwHtmeD5k rxB2nv68bI5+Aup502M+bBJC4wr7a65N8bij3a0jk9TjH05wTiwgz6dAb9/0 k0K44Xj9yaHmePTNaX702Z8BAzsu29PaKLjS8Tb1+gEG/D3Ki6cmUfDrBPuQ +RsYMPWSVluyIwWL6Equj/UZoJHorZU8g4LHDgrW71ZmwLKSpx4UThJ233V0 +/KUAc0vHW3HWFHwoI6uxbzDDBjfGjfktjYZk9LLVn9SY0Ci/J+TCeOpeHmz /4qtlnWg5yHp6cSk4Jrd3jJbdOuAx/eZmR9KwUGPY22bptfBufV9tRJmFMzy O1S+cZQJmiX7Ttn+TsI9Vw7c2NDBhJfqHPWMe0n49E2M3YkZDcDv7rl2uJqC bWN+ZOz9XQ+LfLoqG30p+Hvejp+bOurh7NjOAQN9CqpYlW1c/bIe6iLa1RN7 kjC2UzUy/Uk9rA6vMWyUpeJn82jc0tUILpuslapKKfhIYVLBILMROt4sWplw mII32s/PjilsBNeTMjvOqFHQsejb9dVRjfB+bN9pW3YSvju4dtzRRU3QveXi 0rHTKRipOPJu/bdGCL/zSvB8ZjJm91tb3OpsgoLj25cOvKWg1GG/Scv5TXDj SuDtXxEUdO7MamK/aILDtOzvE8j+K50FUd4VTWBRwXNQ+pqEXS2NUxd8a4Iz Z31vzH5MwWjj8APnFZthx6UTbiemULD1ntBiOslPZ+rVzfFyMmY+sBSqNDbD 3OM7Gya/pqAis2vd+OpmaNOuH115jYIhry7nfyH5idJtpr3fkIKfehYov6Y1 g1P6PYer75Nwe3z6yp7WZpjSHNEHLyiY2rb+muuPZqjLOPnj+UoKcizsX/wm +Uz4fB59xVgqDs0/IjxJ5h+beTiB4pqMi8Z1/dCpYMHmpdTVye3ke2fByiWb BR1a/tGd1ynYMhgTGxfPAj9Vuy/aBhRc7vG5u/EaC+Sm6W7yepOEGgYp/Jk1 LAgb6HWVElBQTuPq9ZAWFkwrOi5xeCcFf8megP5B4jynviXU8ZLQwavTt4nk r4u2tsdX9ydjc2nM0xXEudqTxphX70/GU9fprcMpbEj81upW3EJBhS07es7e YsPKyZ+l1IMpWDx1aOhPMBuatMZmhM2n4Hb2bckQkh8OmypZ/GIm4eSJyz7N LWDDBbbHVCqLghJelX/qa9gQXLNpfpwT8Z9XFnJ+r9gQVKZrcovIz7on6bE1 mW9M1cSt/g3JOOXrT5tTJL9t99iwznRrMv6sfnC0+RIHHiVOyJtO7O1Plj+m enOghvGlpsyegmMjjRVOu3CAOfyq1f5HErbywlZY0Dig+ndmrkkGBcuYFTkf ywjeWPz4+QoKhld3zY1icGBWzEb+9qdJmF/53ShoPwfsOwpmjZeiooTjwHRX kj/o0U1W9ZHJaPujc9DyBvnewbW7wpWTsfOx9M45J7nwM931xqcKCr7PY1xa u48LwvYnzYxdBMeFlbps5sL9ORozMr4noa3Dk4lDV7iwblyLq2UJBS/qVMpO SuJCr57k2S/mFCz9WzZFo4gLEU6LIhP+00/fgJ/yBi5EzuAGWJF4kMv9ONWK zO/leq/BIDYZJar7M328ufA47hntlSbxF9Z382oKDwJKR3/KzaCidaOUa841 Hiw8Z7+uoSoZjY8Xty1JJXyelun3XImKpm6qR1bc44Hg85jqKRXJ6PDRfTA7 jAfKUq7lrduoaOgs6a5H4qUReqssYSWj3a+iN59OCMHHZUbaZ34y9s6ble3h JASzSuUGhQVULPMvvvXlJAPOf/HSbv5Aw00uMrlnHBkgrKCybz+jYcfGA7W/ zUg8vNhwdkcGDf1WVLy5oM2AG5tHNZVDaTh1tvzwREUGdCotrmtxo6HL2ZDK RjYDKmhsm2mRNHy57+5h79sMKOx+WeHVQ8OzO8aei3diAN9k5aDWyhQMorb1 XZzPgLau73tlz6fgo+cvvNQ31MHq8l1J7v00XK61oj9Uvw6eGp6xTGbQMCsk 2e3jzDrYeD/qCy+LhrPaZN7aStQBe1VpgtxlGkau8dlV0cUEp0rWeguyHuu7 vmB6pw6qrJtHZubSsNNm3vPTmnWwnxJh9csiBfe+aJnOUGwAh9S02iNvaXgs 13eC90g9bDJqH177gIaBEdN/zW6rB6ifozMjhoY3vYs/Pq+th2UH9uzr96Lh u63ZMyaQePrhh1Xyq1Ya2oYJ9WMYjXDvTD6HWUbDWsaETfPzG+HaDwWZh+E0 NJxgdLAsktQLZ/wg352GVyhn+se8bYSPaqMBp3RS0LgvU/1gaxPIB4zVoglp +HvqW+rY+ibI/cZ4sK+Aho9XKmnQHpJ4eeTWdrVLNJTa8pbuL98MLXUVRWoR NBzzfIzng44msHl07/WFqSnIMvGsjibxcd4P5bTyQbL++PSkYcLfhZ2CLfK1 RN/Db/0d85shjBPz8yjZ34QdKrsqk5rB7OmOtJeHaUgxPJDn/7oZjvliq2cn DVUV+gzf/G2GKDvnlcNE/3FOJQN36M1w9lz8+ZDNKRgZmPbqJp0F7pSr5r+J /mhtSRXZ6Sx4ffIrh0fkWWQWE197mwW26/e4FV6j4bx5E5J+v2BBUkWQ9dF3 NDT2Px9p9YEFW30aGMNkP8b77ZNzrxI+v2tLot3NFHQRHLJ4c5cFN/5uMOkm 9pP3a8Ix62Q2zNJ8djiK2K9V1fF3ijfYoPJUtYxbROw3hGfX5suGmS4nJZQC CLbXvUctZUP6Fgsnpddkvy7jHc0a2XDjOU37y20aCiat3Kh3jg3jHhd1zPJN wQUWf0M7SDx7WDi622JRCp6I/Zw3GswB5U3fwvezaJjYavz1BOHDvgseWw7G EXtXv2DUuYsDPMlwiYvONAx4+HGsZQYHshT1e1e/IO/7ngvxr+LAjy2GTuMu 0DD01O9zr08Sflz/CZfuSsGRzx37H5B4Fbh3T4SbXApeD73gmVPOhW5KTuTO 5BTU91Q8eoHCha7S4Xt/dqfgxeWHs6fQuQCXgr9tJM+P/l5mtDyRxKPs4jz5 nhQ0l/zJcHYTgGy8z6d33ilIHY64PxwigI2jnVU3/VLQVzf2mcwhAVwOf309 9GkKWtbyrpecY8CdkjfxXr5peHegt0z2IAPujr03e6dDGk6a+fet21YGPLKN pK5elYZH1yrIVBkxgJ3qoamumoaNHgtWzJzLgO6v6zLGjabiN9tFNu94DNiX a9BXNiUNn2wJvnwvnQESveYBRrZpOEFWdWOUDwMklbtsvt1OwxmTHvSO2cSA zZ8/2x1pSMP5Mk7XjmkwIPb5/2PqvOOpfOP/b1NKVhmpzEqJzOzripBkRcos JTIzioisVPZIsuex18E5CE1KjmNzzqGUVUYl2dL43Z/v9+u+f3/1eD7u677u 9/W+xuv9drrf96+LU2yF8EGlWkWgIRlYuhLsx3xwUKAg1OakIhk43WX1SDuH gxWp7TtY9pHBrUSrgHOyOKgZt/MZiYkMwnGV99k5cbAv3Mw9/lsnSGqge9Q2 XwDNU80Ypx6QgS75Jc9XgIM/v6suF6uRweu96kaZJTi43vrZ13mjEyhdVgWP GQuhVYN0vC8Sjwn6NEovX8PBRtcDa/2/u0DXT8XPdicR+4U5L8lMdIEQz7qM DiEcvDVI1x7d3gXkfxw/p7BeAJMfhn9uvNINLGpTH9Qo4eAcvcd52xddgEer eIWVrxBmqzxWaf7ZAxb/aFc6eeBgw4Oaz9yDCGfGy1fqIPYPdSW61PeAJbX3 TxeR/ufE5jRepyI8chAqLxfA4ZW2qOyRXmBoc0wn7QIO3s1n1dtG6gUtv4MN dx7BQTHjM4w3n/YCqaz+86HI/AxG36jVR86Le+ohBU+ScXCKILNiguTXwwt/ X+xxwsE9JPNzbcj+xrvIq4kr4ODpT/7VJwr7wIMpp3pZehykaNXrVH3rA1F3 FQn3NXFQXsf1k0QTcl4oHUkx7cBBYelQ1hg8Eq/sXTdJtsHBv+Ri96GMfpA5 X6KPF8PBUdfugf0P+gHhlaUWea4AtiifZp2h9IOA8+KQE+mvzjrkcmNEP/Bm 4T+5Y18h7LvFsa+9uh+sqPo+eFiK3G/Jq6CdNgAy1uL+TF1E/OP5KV8mbAAw R9hcChdA7tdrez/7bAAYLB9o99TFwYJvfo8skfx4try2Jx153qNo0URWvwFw wM2aQ2RbIVSA+gI3MgaA9r6HcuKFOGh8QfSDM2EQTD08KtTyCQfLu+ok+GcH QZbm2HW6IRwcV53xsGgfBIeEOVMaZAuhseS2G0yhSD4k/erTJdZCWLn9TOZm EhU8cvvRT9xRCO3jZqNsBYfB5GGmyTVk/bB+sq9emKcBx33x92uR9fhbvMfy gtQwoIamfSxxw8E/CoXRjobDQNyLxvCBCwdPUqxOxGwbBskKGewqZBx0luMw OhdCAv1kqee6dMXwRCWJYu9CAspiDnUSE0WQ5fCDS17mJJDtn1HC1FYEB/O1 Z0I0SYC5tz9rsrAIFuyj80o4TAKuB7c/ev2gCHqltmzkcCP9BZ58mOdcBNke iod8WyMB/v001+PXimATK4urQA8JHO17SIZZRdDtwfR53SIS0Lyncsx0qAgW x+Umi9wlARD95aD3jmL4LKCTr8OSBK7PDn611iyGA46r6Z6KJJCo14rX8SyG s+dE9vNzIfFCYc0tmfxieInrdg+7ERkUfta0D1krgt9/XxsTVCIDr7z5xBxK EbwzY/ZTcj8ZaNhmv35OLILbBk8yqLCQwXYBo6XR5CL45IUMz+n5TkAZ/CP2 x6cITqhlU5layMB/+vvR43eKoPGUfNX+IDKwpZcWTuwrglHVjqFmWmQgnjDV ZiRaDEtD89Me7iQDh1lyWbdLMczUm3+yTagb8IyLvuP7UQS/xvF8+kfXDfoY TmiudhRBVYrywdXPXSBe3IAwiCuCkfvs3L+RkPhB99KRuuAiuCleailyuRtI FhvJCz0rgsFMF91Iy13A4nJK6z2TYpgXNriT4UsP4GEYypEcL4J+QP/U9Nse UFzr7uhdXwSNfj8LIBf3ALWrLMeao4uQ/bszevtYL9j4fmTl4mwRlBCyMNtA 4gP2CUbXpw1F8NBs9t6Z5l6wj/JhTOB+EYy5WNxFRfS/6Br9UeGNIjij/vHy M2R/pkeurUq+KILaIruX85H9HFf5/bV8RBEUdsp7kDXeB75d/Rf09lMRTHhi I/mjsR98bdzB7L9aBNNenQ2Uze0Hl9L5d0XUFsH8r+o9Psj+HbgjLpDoUQTv 9mj2NyN6vruMZZg2XQRjWToD9yP5yiVDq5HUkGLIINR2tKJjAIjfSGisv1wM j79u4jejDACtNpGxyvZieDt0JM1CkgacnDNiq5D11CGW9sb4FA1Mn4+pXkTG 2yhR3DZ2gwaGfjNxnfEugjp0N/2P7KEBbqrxGP56MbT066qJdR4GzE7PhPsf FsN6hnhVmTskYGzkfpw3sBSuN3gb0q6RwFcxD7q3dqVQ1d3icqgJCTzY8Oj1 O1kKA0VVfY6okYBYz41cSfFS+Jy67/6ABAm8wHl6vmcphfSx9GmBnCRgFeAF Y2dLIKfr4UvXxkhgl3yntTVbKQy5shHd1kICJwN6pk+rlMIFS1KjWBoJeL8a 8FFyKYXbYjQUaIjerdqx6xunlUKvYkmGRxYk8Kg31zj3TSkcfr2711CJBI5r KVn8/FkK4Uf6bLY9JNBV12mjtb8Msqya31fXJ4OhgN2fX/qUwjTFr9cCkfg4 HCYJiZmVwqO3QnVaBMhAlmWXeYQcYj+BT+I3PRl86oyOnuYqhSbLlUzqc50g JpGtVf9nCWQ6+3J6I4cMcjYr7OKQ8fbbRjYuu5LB3vdmz/66lsLzOvmH5NTJ oPyE96XHlaXw9uZxTrFdZFDWzOPs+7UUTt6++yPzQDc4VtOh8cG3FHKcpD1i ZeoGwhr7fv4yKYXK2+SUvWcQfevwxAkcLYVX+6I/fCB3AZbzbReUmUvhKerM ST+7bnAuUrsdapXCfSSJSWn2bsCl+2U4h1AKM5sbX1a96gIGR46NxwuUwYJT tpTIvz3AU2qMmRhRCgdOHXPCjfaAmj67nw8ulkJGnT9rz1sQPfQd/WCFPE9e p+vhcEYPUBCyeXfsbwlkrqvlpdvoAVMc9NVmiaVQyV30O/1wL8jddpA2gdx/ jNXDlPlNLxiT/lvyR6QUiuU9JbLV9AIRc4o//9cS2GVpF4dH9NFpiuXYoHsp JJjg/9DV9oGSybfrLEdK4aacwKLc7z7waK1UP1ugFOpabAt91tQPimZNjc/c LYUCVi7EOkT/9D7NP9guWQqpVWz5vW/6waLMw6BG71L4J/8IQ0zXALA/UbOv 8EoZvCBd8ijSiAIOMO71l9IthWWzVjkWnhTwXuzfgosb4k+eF4aa/lQgJf5+ Ww1fKZTcy+kZqk4FxPOquuHPS6E/b++lTUQfas7vfPeZpQLG8TePirqRQKDD rLzOXDksECqyPnOBBPR83uTguspho3DisBeS73GH5bEz1ZTDLvHAC2nHSOBj QpDf1eRyOHHYaeglPxIP5lhOvvYrh/Y/9vstfCIBp2Tn89TocniktJvc9YIE Br3cF9YbyuHilbui5TnIfjD2ihacKod71JQPjgeTgJ3Tku3rXRVwx0/9u15X kP2YTM8ko1wBGYqtKfQ6JHD79a6yjMsVcN3GXTrpEKJXC/tM2CIr4Omlb6lp 5mTwV6bQ7AQyHo87Y/bfkfVZLHx2kvC5HCYzDh45KUEGJlxL3nJvymFTdPtS MnKeb9CnM+Bx5XCMp7llZqUT5C/CpGP3yqEcT05KVQWiNyx/51Yfl0PC3s6W Y8FkoCQtKn1zsBz+ZhvCXz1HBmfOyjiuclXAI/VeVieOkEE9d1KHiH4FvHiV g4mdgQxEh5elDEMqoILhtckEZD/EqokJF2+UQ22bbdMajN0gUNnH+VV/OTzn Wjk396ULuCi21r4vR/wXYDr/BNELSzme3yuIPYbK98YtcruB8SOr6EKXcmh1 vll0/nw3uG32nnGotxy2J/34VM3ZDT7o+Jp/k6mAltKk/EP9XSD1x/xZckQF 7Mz5MCWCrO/Arn9TYvQVsK+lxnJpqAccbqQ/M4DcTx2+391W2wMG8xmrw3LL 4eiqtXZKfA8IjmXmlfMsh8w6ePKe2R4Q9rJ8lu1IBYxhLbSOHOoFStbaLxQR +y1PTZ9eet4Lbs5s65FC1gP9O2eBC1x9QL9N2rYyuxyGzURRRhC9OS2iYvPp bzl0cbDd9qwGyU+Ddr0+VFEOE0bf6y786AMaJUtmB5+XQ/DaseHO4ADwNX3l 4tNfAR1n+69/NKSApPfkt7Lt5fDT9Eiwsx0FKN4ceRMmXAFrKzXGZY5RQYzm 4u/a0nL4KvdK2C8ZKljWv9v59moFdFOQuP72HA0kCLQv/UDufz1T7iyBnP9U 8fmEZ6FV8EdB2/1aJJ9xcJWPLrlWBYUujRaAcySwUHM74pF+FTwjuPqSrEEC QevPgu8eq4J+QxwfLSVJYBtgDHDmqoKFCYc2v/CSQErE6ZvmK5Ww5f3dWwzz JNAzqHbs8mYlEm9fv36+lwQ6S++JiYhXQeh8zrqklgTa73YJTJytggzH1Y02 k0mg1WwPZ8GtKuiutdtE6zayf0ozP/BmVcGLfQTcJxsSqD2zJxb/ugpqXzbf CDxJAn++xmucnamCMj+WDAUPksDp2G3z0zurIX/PQFSaBXIe4/519UVXwZmI U7wTmmTw9K7mV+BaBRvViVlHDpFB+8UgtqozVfDhksQhH+T8psi1SAgdqYKW ZSn45rVOMLVjUytqWxXsW+Z+c62EDKI/bqQS9lfBw9FNkBPZD+KRkQK3L1RB w6k258XzZCCgvVP8R3wVpBt/P8eI6E+NiNJcEWJv3eii6+4dZHCa7hLebqUK Oo1s+35wuhOMfXzgu+dwNXwcMgD0BLqB6zHJnWM+VVA8+BpxdbMLJN7hEM02 QO4PWjtS9LEL1HcsKdmIVUGtwMjc88j5/4Fv2EAQ8a8z389jU/e6wZOjXZVy PFWw9Py9vFrtbuCiq6jf5IbcH1mnrMPWDcLCfZ9aPK+Ci9o6KpK9XUDqqkeF A3s1dNwxd11osQdcvlg9YhVQBfcGy8zOd/aAhobVv990kPH/vOn8qrAHcPBp igUj8735WvvMr4O9oI8zP+KSaBWUf6nvwPcBaf9ZlvoM6d/R5Jq2MrI/nipB LznzKvhc8Jf0bFMv2IQGf3+wV8EERepQF0cfkErK2hFyuApmyei6Xo8fAu1u oVmcllXwrZS6m6s+BRxTCJsY1EDW3+/AmaPKVNAwwjnxFJmvu39ecroJ0MCe 9p+kSLkqKFtuav9mlQZenMk/m7+rCv6eVbzixDcMGmTOn9R2roJV4SqL6kEk UL65U7klHA8r5Na0BJxJ4E6THd/MLTwsGyc8WkHyAQP/6lWe63hYkuA91QdJ QEiZjgKs8LAIHFeskiKBb6smRNezeIib/x4RhZz3z4h5yU808fBV4vG1i3Mk 8D5S7UHeSTxMPHn+hU/3f/n7XcYOczy88tP/QRyy3iVLXgYvOOGhXF62cWkK CZicYPzNdwcPZ06SJp2R/WiXr5PbFYuHO3KEh2PsSUD1O/gRn4OHMr99u6v1 SGCPsqrmuRo8NLPsau1H9GcxTCGWtxUPfevFnq7wkEB3l/QHyiAeGha8jyg0 JAO1xr6e46F4+Gj1Vu4rRWT9/1ux7vDEw2F9zubRfch5ric4Y38ZD/dnlQ1t MJMBIU7z5i9jPHRYOLWwG8kXZClX6B4BPKT8NDdQbkbyBVv+a++18XAnv9ty VjIZnPLcvcvWDg+1NcOzGD3IgCOc++nH23gY/mzmIzsSj73d9nUFJuEh9ddF NcODZHCEv8xNqAwPjyp3PIljJIO4g86Ta6/w8N53sd/eh7vB030WQe8i8HCE sT5gYFs3ODCq+eAVYu9xwdMb8l+7QETmocQmazy8f3zELxmJl75ac2bU6eKh 1EHKvY1MRA+iq4uCVPHwbOT+XC77bnDohfxGzlU8/Dn3WYDpYDcoMI6wkorB w/Izynz1P7sAje9s9B48Hl4ri+K9/qwL7BzjbqFD/Kcn/FV09XMPsDjkE6jt i4fFY9WxLc09II7TR1THEg9Z826uhyX2gDcb3u901fFw7Td9UzRvL8jpKL7x 3RUPOdOevZ551wMGHEyD1yuR9dVe2fWZ2gvsKmvtFW78V7/krttQQy84+lxt 8ijiz+ojpRyvhPtAtr23JKsGHop0+RyaIvSC2fT6+kN9eCg4ATTH7gyCn+mB YnbOeFgzY+cq5zEEGvgbHRtu4mGX6XXlIV0KcJqOf02ywUPRUzGchqkUoHMP aGT9N1/LV7sr+amgdkSKPVoND+9+7XX0UaQCrX/GBzkQ/zyYt3/pfJgKju6e iBN9gUf0clbDnYEGCj1m9Pcj7TuHbkRc20sD0lV5L67b4iGZfZVsq0ADDd+t FOuCkefbS9pPeCLtM7z2BSD25y3U16r9pQEtJXP9u2Z4qKOm8TqGdxiIcStt innjYcBrT093pmFQ8khESp+Ah3b8cmU7vElAhWtZ5s6zGthG/vZTzA7Jj1uk Ynqqa+CR0GIVtTMk8MTp2oxYfg1yflwJPYfkA2+5s0/dTq6Bq7NCHc6iJLDy jJJLvl8DRyuSBPb8RPRs+0C1x90aqPhx0CKYguyX+aZ7+IQaGLuLL3mmmQRC BvItF5H+vkDLPtM8EuBojJJWINZATe8Mjub7JJCZ6c3o214DnXa9YiK7kwAp df5zMq0GBt1osuE9j+jNNd1XsbM1MKmnjmCjjtgjm515/1cNLJGp3FEoRgI6 f1f8gtlrYUnJjmEZEzL4UpTJZdtWA+mokvS/T5DB5YUHjc/rauBFZj3JdwfI YETF55JwQQ3EyzuYJrOSgXm4HUtYUg1kvRLqf/lHJ+gh61dOhtZA/ucPHVub yGCPaNWltIga6F9q92buMRns6uEDX7Jr4Eiygji3FxmwBobul2+sgdEhUqEW yHmgcjnasKW3Bt7oOnuWXYoM3NO9nqZO10AzQXe+l9vJIH/wgsStvzVQySl2 4uZsJ6BwaCaa7q6Fh23C0md3dgNq/4H4P4QaeI64byzxexeQdDx67h3yvECO pxKqXV0gYENp96OHNVB2LlTjoHM3+KNnezo0pwZ+t7I14TreDYKi+qXr3tbA laTzZqZ/uoB21DvuGMR/Qgp2AVydXcBaYnNjx45a2FRcpHvtXw+QqIlnP9xR A7VIkqWBPT1A7qxUulZJDez4VsGenNMD4PS7w7YPEP/0qrx5LNsLom3vsAcg /ngjqu/0DcmHrkzQIoxJNXDP/c6QlNIekNd/b3aaqRZaqc4/JXP2gWSbS41v kfF+vN867Izsr0z6DW3JshrosSM0m+3sEMjnl0pRRfoPMGxUGfjv/TDJ5aS2 qho4P5E8+/gYBUgJNN+OuVMD6XV2LdvqUMAdUvYBxcwayFMc+VfClgI67oS9 HW2pgbyRrZt3hagg7P00QSmsBpLURi4fkKUCI2qTShTiv5D5hTcvdKhAcCD2 +WhTDXQhAI/PTDSwg6dQeiG4Bt5W9tCw5KMBXYeRi3ppNfB+S+aOLkkaCCbu Cs+uRZ737dM1Dlka4N/Lax9PqYGRVZ9m2+do4NSDaiPFgBrY4nn0UcEmDUjk 2a5ZJ9bAH3J+6sE7hgFLM3tuGOJP0ZXXn632DYPpwaenS1/UwNyx3VoftYbB Qfxu3jVk/mjalXak3zSwso27TZ6uFiqnN7/PRPInMTmz4Rm2Ohjbq9f2Acmf +hqV91pu1sIJlsEKIUsSCAb7bTu+18ITGpcf2yD5i/RbxhyVsVoY7fMtKFOW BD6cnR0r7a+FY6W3HT/sI4HogW5RwTe1UEbZ/6HqFxJ4rXr9l0l7LTzv0CKY RiYBAfYoqzlaLbyT8K9irfa/75eVN4XP1cL8Fi1gkUYC78q7BPf9roXWeF/u TSSfSjlUonF/Zx3s/Xrxush1EpC7/q/sy746qHNI7bmeCaKXJRb8etJ1sOnK Pl4PZRJwna2MKNasgzLZ/5yThUmA7QjzEqtxHdSTvcD84RQZaOSfzGP8WwsN d70qk0X2z1M1zRkeZHxm34+YPOAhA8UhVRnxD7XQsjN55cOvToD3OOGr0FkL lUQjJ+I6kf3pSh6921wLyaOK6i+KyWBc7ylp92AtvJI28fhHOBnUiRc1VHyr hRvm8T8OXCaDe/SPcNrMdZC9tCd+HolfSUNpZhxCdVDQnV4wcj8ZTA5f+3tW rg5KysrjxP52gs1R2dLo03XQJy1DwvZQN5A+ZiH+mbUOunLom79i6gbFJ8JT RBZq4dXw1TCJiS4grIVns0P8abNeUBP5oguknR0NSH9ZC9MpfnT1yd1g43Q+ nrm1FrJYVcXm23SD6FqDzvuztVC+kKvLWaIbJJ81bPbaVQeVlLikxpa6AOny RPgt2Tqo3M4ZbfG6C9Dd8jvrb1YHVy2udK2M9oDTVR43cpeQ81Dy5WY2Ek9m bjfk/kmuhfue2kRV8/QC9u2xmms/amH77wV3D3IP+GmXRL6OzM+nMmMXxaU+ UCHFn1WnWAeZWBR+sBUMgNIjiQIfGevgirM/16LzIKA7TPmaNlALlzyYRJ+G DwJ27rvWdGu1kHdYIiHBfAjgnHqDLiH+HjNMdLrlPARUZz/Tc/2shcx71s8V 6g6B+JdXPz0zr4NeHzajv8lRwBznn3WjtlrI9Ccy4OMpCrh/4HD7EjK/T/bx O/daUICotNnj1JVaePqSF+kekp9lVLWYHT1WBxPf9Xh9RPb7kTsm9w4h97+5 97yKIkUFwbvvvt89gswvrPzarU4Fg9XlckzIfBz7k3G4/SwVSJ4ZjlxE5vsb ozfzuhMVKG0fP1qPrO/xuVb1ZUSPe39uCtY9r4VJSss6oVw08Np8rrQK2T/a YeLGHMI0QGygKZd9qYXLXeYXM6RpoFiwvb3wF2Kvhb8gvQ8N3E7rVHF7Vgtd Zr2K+47RwIVAefkbyHp69/xunskKDTSfV3QUJNXCkyVfz3YyDAMhPiiVhYy3 KfHiug7nMAiinVk8gMyPwp03BS+R82I07XxjPn0dlLuvdSBFcxg8Czq1V3e6 Fo66vWTdzY7oO98+Hnpk/gq0qKq3kPMiZUjdSu0MAfYEJLB2IecF/mo7Y4s6 AW7W6g+KI+cF6adppboMAR76ypAXiJwXU8EfLJ6JEKCZWIv7IHJe/N3pRKfJ S4Ah1rdUpfaTAH/mz9LnLARY3MszYDVJAn4120YbthPgLjqZ6y4kEujP/lFD 3UuAfjJn/vjXkIBUzND9NSkCHLO7lhSZSgIP/Jut+TQJUAQX0/Df319C02/b MhsT4MnJXQerkfOiL9qDY8mOAO1FHyUHmpKASJDDizEPAgy138N4RpUEvDys PLvvEmBebpoXH6L3Ly+ZiLTEEWB8XG31Ry0yYl9RJg/SfxTjVYFHkmTwtYt2 jIg8P+I2T7geJxk8/7f9hQViX8j31m+bq50gUVbDZH0bAT41fZT+u50MzguK 2F3+Vwcbt/P8ysUhei/jkVvMR4ANrUmWOqFkQNVunphH/FUfyP101pYM0i6y SSidJsD9y+PTlzSQ82Gp7m0sYr9f04c+dyTev9I0oRx0E/F/CLX5zh8k/wzh KneLIkCbwKaUKY5uIMpvYRahTIBtxaFk7dkucF3rDmP1fgKUGjjNUNDaBard cutoTAR4Qj7oaZRXN5AJ6fdNEyLAKhZLqUnlbjB1V0E7RJsAL10giFsyd4Or 7KcmJh0JUIjpqMT5gS7wJI67Ri2SALX2HY/XuT8AtquOv+rcR4BxUnpz69kD 4DdvaUIDIEBpFTm2F06DgPRK242BmwBdvjzI3onocyjpCdt9xH9Fj0YVbOIG gfLAV9w2PQK8FS/zRBPR6097lUQvI/MvnPjQKMwG2d96eOF6YQIkJ40zv3Ub AineRw7sOEGAzx8u6EfcGALKWYX3tiH+0XW0uDinRAGRyZ2zJ9gJEGa9q1RF 9PywppjQGDJ+lUFVxmgzCmifDjB6KEeA8uyVF9/bU4BjYn/IcV0C9EwFOLFY ClikZtxUReZHXZNLhxvZ/6x3NyiBiL/qszLnWSSp4Pwyx2O9PQR4/M+h1E0k /i5wETfjPkyAZTZ1Jxe0qODnmArXqAoBirVofp0ypgLNC8Y9xQYEmGvQ5thq RgXms5+vTSLj/bz/Ut8JdhoQb80QDkDsdchUWz2KxAdqPQGpU8h6mhDg3yss RgPn3ltyGiP+sn+yDHhlaMBlWvnhU2S/ydx0GRf2oIFfDxj2xTAToNW/a4V7 lWmgwlGzshlZ/2+kyjfy6Ggg6KA4YS6DAN+1KikHf6eBnuGvTzrpCBAvO15d uU4DdhSR1IOcBJiaE33oA+Mw+N5/ITX0ALKedyrlbN81DAJ7YlM/SBPg9Ttj e1QEhwE7uTX1BLIfelxuJdPODINLJ3Z2jyL+erDtx7KnyDCwlOOUajIhQDpm thb3NRoIXZpS/m99mqr9aFb0IgHW0JYXx0OJkBolS5dii+i5ZIZKgw8R2o34 nFrVJwHbPv86DUcinJKsf2iB5AcP/S8ea7tIhK7+6+R6JD+oEzlRfMaACH++ U+Xi20UCHzt2i/RpEOGoKCv3GhJvTGV0LpbpE+Fb3hHVUCR/bwxfyvS1IsJq lsqr7PUkEOu6V0/LlQhT14NjHmeRgL2Z9s+dgUQYNneOeCCCBJTUXDOGY4gw UDdlwtCDBOr7HT/eyyRCQ8a8kZQLJADqhpr3VRDh/pfl/Z8gEq88OpVW30yE C4H1pMNHSODczTpf404ifKXy6rUXks+/Nxc1nxkhwrHDxMVFJJ+2OCpBtL1H hNznsqqHZMhg7Kar4Q1vIjx1J8KtcTcZOD+v+RxymQh9ce6SGZudYIl1PSjJ iAgnGcI/6lSTQXW6kdFbUyJ8abbP6300GQwnqzfxuRBhFq6B0es6GTDEHzno HEaExZ7rHp91yWD29uc3XmnIeD5drWQ8RAYnTqXRW1QToalRz1cRJD+J2GWo ofqGCA8+Uz0CpztB/wid//73ROjJYJc3wNINtLNPSDjfJEKuf+cZ+Ea7QO1n 8bSXF4jwxisjJSv3brAueTJrGrFXWlOg645cNwhZmMeZRRLh99b+y+tIfiBK zAm7UkmEikxnz2mRuoDv0Q6bqV4iLLE4oMi0vxeME+Z4eRuIkHHy7+bAwV5Q ZunQCTaI0MEgn+2GSB+wziEsR0wg4/0mOdMQ1Q/8C2f85PSI8ORKBNTF9YPp h8KMBsj4X/8ZTx181g/Ou12MuxpLhCoGQ5oWDUh7qxxZzSdEmPEmjS3VYwAw 9KWqETWJ8EzByfOWoQPAnt+j1xdZXxshs3mCyQPg1SXta8rIfBTbJc6/LxoA wsX8vzaiiXDph22EVvgAuP1qVDP3JRGGS9SAFZtBsOBGdMo5RYQDt+91arkN gu0D2y0KLIlQnHzhQgJy3omrXD5V7EGENw8cnRyNGgSaOUS58nAifCq4mPFb fwhsLAUIEU4ToVXWgd+KF4ZApU/OiVFkvW4eMLS54TAE7Jdaz7G4E2FmfkBL idcQ2O0z4y4TTITTXD4DKYZD4FaDgC5nNxEetV4cq5SmgFdVP/dYnCTCA46x OvdUKWBzOKDuCbJeeLwOl1npUoAiM5PJsD0RsgS2csieo4Abx2O/CSLj/XXf zofVjgLKrPdE2iDr54zYIKMm0v4ZNXmSqYkILe/NCK0LUsF6EAe3EzLet94Z jb0SVHDf6bLkWTMilLc3Mi89TgW8prVQ9goR5hrTL4SqUUG+KtPFPV5EuFOT EG2lSwXHxS1ubCL2swZWHRkxoIKV7ectpZOJ0Lp8Q5+VmQbs5+/3/9f/70b7 HSK7aCBtKaFf9xwRZr/t6FYVoIG+9fR+CWS9gUHZRHPkfNz2F9fPhPh3fDzN zAOJh04yVvdP3kH28w/6PQ9P0EAA29P+18h6PP3ins+KHg0sPN2gOiDXxU1M W8WQ/rRswqvwyP5N+O59rWIeibeUlGYp2kTk/E1eOo6cj7sLCxlmTZD1q0sM JdIPg3Ce3UKbtkT4wJuySxWJj36G3lPciZwnI9lrWc95h8HlhSWjA7eJUKqT X0p7/zDotrt6XTYCsX9/ncqa2jAY4Rf61ITMpyfHs+d2/MPAu+D2SmY2EdoL szUeW6aBnDuakSbI/gh/IhuX7k8CGfF8P+3f1UP5Sfm55WskIM742GaqqR5O SSvpGp8jgUpf7neOlfUwOUA5v1QTOb/m4uVnc+rhqbeqfxmPksBz2505rkn1 cIVLw8qOjwT0+qK2z9+rh4QLcTTeBRIYDquUoSBcp0fO/UYlAcdmpVi3x/Ww 9sR257YXJLC09GKOoQjhQ6dlM4tJIERK/3RafT2s4bu/4RNPAjuv9RfKtNfD /n9n8Yq3SWAjN/KKBLUeZl9ozqfYI/EUmZsa+qUeulRLPvYzQOK19QyDjyv1 UIk19QG/IgkYiUu8VGVugAyXWAKeIvEgr0mVwhPeBljRMHhNAJCBqdAz1YvP 66FCobnEohgZ5B/dlK4rr4fNSYNTJDYyWFZVEeNIq4faIea4gu+dQOeMH5/z fcSeoanZn2/JoP3UxtxiWD2Uo5wP38xH8j+Jxz64jHqYRHkrxByM5GvMsr/P E+rhEuVEPYc1GUh+Id9j7aqH45cqnj9UJYPwvKpQm8l6iDcWMLUWJAP/Np66 mxv1MBjcnzyG5Ice07enYnY1QHdznX8697pBc2QW+y/2Bkhl/5O9I7wbhNmn 6R5UaIC2O/zN7+n3AodLtwquWTfAB+UtDLNtfYC1uHLZCZlPd/mTrLXx/UAm YM+3W/H1cHvWmCdrQT8oubU0zVBWD4tYQkZs6vuBiFfvZHxbPdxfM5vAfnsA pARblO+LrYfxJ+b+Mj8YAEr8rLeq8+rhv2dzbnQpA4CCb9A8icyX56mvI79w A8BX/zrbAKketklcfHrMehDMnxSJzQhH/BeoLNyKxGsN9cr+k8n18HU//4OL NwdByFGTa0eR+T8pufH9e8gg0M91MvVpqIevgofNw2MHAc/uYI1mZH26rFsU Ghog59UquWIhuh5GzzwWsrcYAsznQepBxN8VtMFHN+2HQGldTbgNMp6udzzs D5F4zpBb/EbS03o433guLMNvCCx6pli9Q/oLXfnMzqtAAQK6kt+ORdXDmAAV wn5NCrh7e1F6/Uk9fPIvxkbyNAVMlDV7vS6sh3n3xpgUkPNMb/QeIaYOed42 hUpNGwoo32W0ZvGqHtbHPTiv70gBnFp8qiI9yPxSBuquOVGAfVVX5Bwy3xrv E7V+ClABt35tjyuyH0roPcdUxaiAUBG3LpVYD3kOG929h+R/FpyuIvNZ9fCu kZRQNxL/rfvonalGxjN7c3sTH6CCdKqYjyfiH7OMmQv2p6lAXY0uUxaZr8yj /RVHQqlgxOI23iGmHp67ESydhFyPHfLO2DdSD9ViltImWWmIHqwqtUbWQ+Z7 VqtpnDSQv1f9YBOyH3vuvDpngpxXBtqhu2uQ+U3zOVzNIkoDKy5vmUqQ/X/V NZ792REayE5iX85G/Hns6qqTjzwNnG4ymXz8Bnne508M6tY0oBKdsm6Zj+zf E4tvA+Vo4LeIGZ8x8nyTOLYDPGw0ULT8qycW2X+Pz+yRUb81DMg7XHx3aTZA lnoruuCAYbCZaBNpfaYBjlwbtm6foYHEssY1p7JUGBsxQ+QdpoFbmlWfpMxT Ib7If/XiVxogOFiLXkCuM90J1JDdpAGqwGkLQ7NUGCFY0iP1nga+rT8pO8aY Bp/+VkxZ3EUFX+cuvlBMyYKfw563pP2hgB+2bdLuslmwXNb4/hEkHpecTtq/ kpwFS2Ys/inKIPm17u+LF6Sy4PKrJo9uNiro3yb4wvBfFry15jBiPE8FH2/o f082zIVnflW8FfqN9E87FnmOOxfCDyFczV+oYEjgC79sdQ5cs1U3PsZNAwmV sPabUS4cfslwQjsfWa+EPuKwAA5WnM1OKzg1CDZKqV4xe0uhEYf+7782SL5j sHJ9Qa0crk+HPdRE8qF5lpvv7hwsh3fcuNo5nfvBWiPfw1M8eLhTi9NvALHH WrWDNTcpAwoFmjL7/aOCvRKRNRdlM6D8SJmCL3Jdvtt+7edAOrwRLSqzjMz/ w86gQJfEDPR9WxoD5abSf+8T/d/7sEe+E5cPIfZuvV+rULf8JvFsLrTfLeS2 NoHkF7W3L8omZEEr8QVfjx4auMRF0J4Qz4JCTY0iTD9pQPiT/5055PrLCzfV jzMNgxttubfSDmXBd6d31EWN0kBpboXe1GYWPMoko+noMAxUFi8oL6dlQdng 8p5SP6T9tLOR6PEsqH5lUeuX+zBwuu+gvciWDdvb06YTLBF93GUb0Z+aBb/y 0LdNDtBAxrV//hOWufCI0+sTz2eR9bCtb+TDvlx4njhR+BjR1xHPBw3Ztrnw o9Hm+tU5GoizD3OaQ65v1TNQSoixhhP5UMLUItoAWR9XY75NxE7mwy9/xy73 81DBUlXrTrb0fLjHtEBjZp0Cvn9pfLrXJB8y6XLr/0PWy3VWus8u0/lo/ac/ mg5XGA8VQnE/Q90PRykg7qc3X6FoIXQ+Kty+/fwgOKF2RJUnuxiOuE/2fdwY AEG2u24GFJfAGoOs4sjNAbDySmHiv///A5sCBzT7BkBgt7nQz/oStF6BiQbd 1UzzMpjDdaJTVGIIJMhF+cumlkDdN9U2Ry2HAKvkbNBUUQncMTnZ73BwCLw+ JcJuJVeK1ntJ+jXMeG224v++7zkAes6PM0oslMO2x+fMD/og8aVgGGfp/nKo XOH5S9hnAPB0WKdaHsfDib6SvbrXBgBx0MqCbwoP95Tytig6DwC2U1fdTfrx kBjoaRfv1w/2c8VXsZbVQpPZxh21eb0g6uh+q65qAjSICxmQsOgFLLnee2P5 iDCZ7mW2SFwv+Pjf+9QfibD/RlnstZgekCYjvTdHuAF+hpGJ7QK94L/veuIO YN9vTGMubDa4kIuuV71vdy+XjOfD5rEUj+uOg2g9tbv/Ld8Lg6BP8kqMKl0F FKgQ7g72/b/vNz/Ew/8pb8HRDw63z/vvEq6D456meMWBDnC4+vOQKkcqPHez Sc24uwP8Xpi/UCL8/71v/0TV5TcnVi+rcmF2UhHZ71vsxXrDlnoPq++hcvoE ee1xPsoSdEIjZYI4tH6Fg67GObp9WL2sk5yvda0qitD33emW7Xf/SMHqWyU2 55lbM6ShfDj+518og10vNJAbN+3B6mmtNK66p9Bno/UKYoy86VRlsHpX4YnB xx/3pqM8a0GTzFjOQusVeatfEf+bVIzy+/ivT6z5StH36T8m7lLE7apC359X P5raY3G6DuVnhRtMw/sIUHMuqU3XAfFXXKCL3oNcqM40rWZhTwVcLAnRNga5 cJK5zFHJjwr+fGIY9UKuT/o/J2Vk9IL1vNvDOeYNMOPOnnzLcAogi6eJlBjl w0PxWRzrCBdaJz3HIWx/6tZV3+cU8ElI5VIdwpUWD1nHn1FAa1u5Yy3CRk6p AUZBFHCwVjr9zcd8eImEl+NJHgJalSYl0q04WOR9yswoZwhsD9R2r36Ng2ue R5KXh4fAm5AaJxOEw4bve53sHgLNOGWuUwh78R/W0X0yBCT7va/f8i+EMQq1 PSsZQ+D9F+WuWIRvKN373GLQBwxk5fH/HAkwTtNktkO+DwQ4vYoysydAibKx Ieuk4f+pj9Cv1wCVgVf11bcUkJlX7mj9Jg+22E3kfCNSwD913s83EGYwiB0v GB0CnSVUfAAfDmbqm53yEx4C2tUOZ1RKi6CP4Ka26vdB4Nb94g2pvAh+8kgQ CVvt/Z/+uX/XQdXegHxHuV70eSvun8u+qQ2AvltDLJ/rq+Hwib+O2iP9/1PP 5rtALVrPZtgnIfvVDwI8a7r3aJBHH9j8zTubjNiv5OU3ktLSB+IWVjkoZAK8 M/TSOjGVCjJix7qfOabCPa+rdCYzqaA9TCCFxpMGjV7sOq0YSwWtHWU8Dc9S 4YfUpjcfgqjANLpJxNU5FZ445xWY5EEFjO3FJu67sf12Nnnz5aONLLSezLAY vWI7Pw7KM3l9FQxH8qdgi6Pz+qXw2+GOKRA8DIL/Pc+/JFMKbU3bL82sU8GO F18XF8/kQQ0W9bl2FhrYa1ow3mWQB9N9fs3QEH38HbUqHxWbB5mXy4ViNqjg A7eff3JNPmwQXvsHkfhJLOj5YHsdVq/IMsn/3xlerF7RDvzlgxJ1OSh3Ggmd 1UzOg6MeZ8b3clOBCcHz2itKAcy05iPeQuJBjaJhg1xqAbzZG3zMfpMCzr1s 9dA8goNOO3rpD7NSgb1xS7mZQSFUMzpD9f9HAQ4Pk7vpP+Pg6T0kX3CYCp7a nU79Y16I+ueis0KTQnY+yg9EdGvKzfNhGnuwa9FV6v/WQ83JhyTzaNv8i9T/ rWcxXgCNgq7nnj1EAcm0jtboC0WQtbPd/b0MBahxrB5Wt8TqIf1ucq0zdyqC /DVhV0Ws/+/78Q5FaHzA6/7GNqIsH+7+3czT44zEUzEko4uMefA8zxWVRC8q 6O6gSAQxYvXWVDrX/7rCQnj5P/ndTQUskx6tryNx0P7t51vBAch+PTOU9cav ANbLfvqWEEMBL1o3n9y6XQDvr74qznajAuXMMC3F7/moHpbV7JdiqyyGSZda 5TyVBv+33khhMczZd+6foucw0DaMjnGQyYO/ZOeDpZyGQYrG4XLczTxIb7Yt 6lL5f/Wi6N4lpBXAhKW203TuVGBWYqC9HlcAO1v7pKyR9Vgb2uN4JL4ASv1X rmUCyX+Ycd4/LlTBmP/kaL0f8FFmWzynalA9WToqR3fJkwAb/Hc8OygwAGSY xGLIhTWwOWHZuPzgAHjv4qnsFlWDns8tab2PGcg5KIc+Vjr2wAWrN8PUx74g 7JGP+stSmKttfzM2/wJR/7atreNg+1l/p5YlCjgb6eVlL1KE6p/3a0/rIv1K OOc+YbN4agCExF8LVz1Zg37fW7GYNE4UzEB5/shk4dqDdJRLqjadVVbSIO6z 3jQD6ETr6/7eePotahfGz5495wf9GKuftP9hn4txcxvj23seGEv5HFFQdCD9 Tz2V+luZcP8b8/mz6hhz8QWXOPBivFW/s7fE09twPgPlIjkxkQ2DLJS/iH7/ Lp2RCZMOBZWdZSGBmIaySEmDDOh2nTEsagcJZPlxWMVKZ0DxWPmh4KUO4Mt9 ZObNbDp0lN93wlWTBFR/+BZHN2TA0rV8+kAJEph+TCzc5ZMBg5vTdhgTyGg9 nsil7jIOP4yD/sffZHD41XRvckkqysIRWeO7pTDm1zdbTKl+8n/1xLpAuHeB djdvBsrBdeZxCanpKAcsMw+fE0qH9Ylf518LdqH+W7j//MmBMTLKb1p4N+qT sesGp89+SbTAmKWG/ULZGTLqz+bn1drBghh7ks2Om891orxl71lHH+s5Y4zF m7KS/7ZloPx757sublWM78efPvDAIwtlg+veaw8+ZkJL/jfj37K7UX/hEl8h IRfGL/7bXke7wfb+lTfwbirKGQZXQCAXxlJvuhsbcE/+bz/0ANEfvQd96DNQ Nl4+VpmflI7ynY0o+X6xdKjQ1vobfOtG/bG9bI0uNg/jA4MNLe8e9qCc9yqy Q1QF46uNAeun/3Wh/ukMv73w8jXGW/YRCns1S4QwnttbYUQqyED5cfCsDF1i FsoPpuQUBnkw9tcPVC5JyYT9Y4zTXcd7Uf/8z790vYDJzEnjaUoqytIZeidK 5TG+OHlINq33CVrP19lqf9RRJB/c4kZ3RfdiUjrKrKFnTcQcML6QfFU+508a tPiMSwrX78X8wd+alFSFcX5QmHRwAMats7w92lM9qD/ejWbFbUvBeMs+kecG 481GGDdu11rsGMtA2eiCMiPNG+N89vW8H/lZKEe39wZyy2LsE156QfFFJoz7 ufnilGAf6q+t+pXcTTE3ODxSUZYfScqS4MLY/FdqpzrhCVp/d/D6Fcs7ezNQ XhO61nOwKR1lwT4nnf6LGKtHuDQHraXB74OcV+2v9KH+0On7ZvB3sBcd/9bz Gg0ucWYbYLwSHsXmOpWBsmwLkU45COMJtdKhH1FZKMvdOlb7+wDGoVU1cduI mfDPDzcvDvp+dPxb8feh6OXxfuQ82uLDIblpVGOMJW+dNf2wirU/6rLONp71 BP6XdyGRIjAbMh/V5shA+fTiKPcBfDrKGrucTv8yxVhOaiFoaCkNTnu5Rwqd 6Uf90WScdvvp2z7UH1vP01BUBllXMI6vikqJ+ZeB8vih0e93MjGWz5PRcVXB 2FN3oxukZKHMeF9c0E8G4ydvjK9VvcuEjg6bLjwkzD9b9ddGkueIFoGpKM8V 9jb2S2D8q76+2agHa8/+LvM56fYTNJ92PCzXgl9MR/ne8VPDV1Mwzle2WN2j mg7Nd3ECdf4B1B9b/anPDQZ482WiPPwtoquzPgNl3x9KwhIWGOP6fxkFFWah zN1LF8txEuOQLpbOnA9Yf/OkHdtkb2fCsd4SAYuRAXT8W/lbKH9fx2BkKsqV H3d2v1PAmIY709/yCWvP5PqAgo96gsZf/BV/cLPcGSj/++t1LKIhHeUvpl+I wjYYd+GsNFvo0iFbmcjFKOVB1B9b/XN9bhB25s9E+eG2Wbq/jRko/zsmOJ5k ifF7t5GM2bwslItPMscna2Lss+d4GHiP9Qe+Wt2a88uEz3eIkyKTB1F/bOW3 7fPfsmrcU1E29REUcRHA+MOaHk70DdbeMfDWoffI/Vt//2GR9Bc7wJyBst9D qVNrpekoz05/cugxwthK71FEMbJfdjLEqz/ZNoT6Y6t/n/uLei2mmShHVr8i ERczUM6lJRhWP8K4nv5yb4kCxnl2z6Lj/bF8Pvhij+GNPRjbnhvfZVyXCVMZ 0r+kPx5C/YHW83bsfvHSOxVlXo5qx5b9GP8kxu9sJGHtu209CXW+T9C/r/Fn qmmbIvHlFi+yEIunn6ej3OUlvePuVYyLPxR78rKlo/2l72cf9r+QiXKW2eag 6noGyrkPv/ZupmJc8Ow9uUUF47m2Q+KUkCyUpUQ36LT2YewRTBqtfJqJ5ie7 E4iPOubTUWY0++r7Ignjn7tFrIhK6Wh+pH1vD7/ogUyUD8eXUxReZKC8Mx0+ 1ruEsUX9jcKWCax9rSZ7skNwJhpv7+t3e3iJIxdltiWmp++9c+DqjzPjV650 /m9+s54Nm07s/bKsgnFw8Ne5+1wY+1Ylmx0Yx/iW3EAOvh7jm/Vc307GYOyU JTFv7vZ/8fazXLiqcWk0VR/jiI+p5A8HMd6Ktz1NJWwu3cG4tWVvUIdOHspt a0+HrT/lYt/rSGCLO6+UDe9lu331YyWhz9cnTQ+0TnagzLF6pWXXS4wHRD7i rDMx3oqPNw0HO2d7czC+EbT//ckc+C7UJTJUsgttf3s7+Je/RkZZpw+KkhKx 6/UTO5TmbDD+9HHPDpwyGR1vo57fVyoHxgl4Kon9cyfKW/GuoNm+Z7xhGO9i i3jNKIexhUP3j06JPJTFznxQGOvPReNVdpEGk5o9GDuMc49/q8xBuSakQdhP Ogd+ZNBQkfjZjdr7x3l98WoNxgeCaYcHfHtQFuqwH2mWw7h3Ry8zF3c3av/U aQrBbbQL5a14dEVfbHd2BsbHpt4aClhgzGtYtHb9SB7KGsPZlk4TuWg8uWtJ 69X13zkoh1E8rbXvY7z6NHtlH2cOjPjtjrtn1ovat3FXI2SxDOObzZUcf4L+ P1YRmzu62YPa6/Z024vieoy34kNVngFj+BTjTpergV/9MbZ5vVSSoopx8sS2 /c7qeSgXXb1a8+JXLhrvvfTMvnptO8bZXrFuh3A5KD+j/8h1Tz4HCrzb0332 VB9q76+HxoW0uxibKmnyer/pRe3diufEvv8wp4vDmD/iwk+TcxirmPnb79XN Q9llZ7G/MBvGGe2DiRKkXDQea2f0qTsxmoMyM/NKWO4NjLVZ/M5tY8iBSTK/ eu1N+lH7KnxF4z/096H2bcVTvgcqExJaMBbi9WecD8P4NZuOr4E+xuSCMP7b Cnkox17vt7q7novGRwxn1gt4t2O8i1a0vlCcg7KgkG1po1oOFCz2aPu5bQC1 z+W9sj5PUz+2fv8v3tHL7uzhb8bY6w+/vHcYxhk2jimd+hjfKtf4d0w2D2Xv E53zvKu5aLwi0fBWUkcAY2+nRfHgtzkop1++sOpjlQN3SVz5ZcoxiNqX9vCV f8zjAdS+rfhD4Wz7l0wixhd12HzkgjAO1NT/134KYyFZel29o3kob3wgqmgt 5KLxg//q5loPN8aPLO5nfGrMQVnhJa/egbM50KXkXah7N2bflv7juuataDm5 KOtppZ7Y54TxbP1J3ivSGN81YFX+ZZKH8qI946Tnboydbv+LnR7Gfl+7MHPx QuOHHJR/tWzPfOyBcXZiy5g3XQ60Fv/6tYOXgtrnmTbLnYqjAMVP8Ot3JP/7 q5flu1RNAXEyL/4825YN0/npLTyyKEBV3VaeAZeF6nNA7ituUaZs9PciytTJ SN6NLFRPHfAPvxU/zke5eMT0HkU+H3IoLFCAbef//N4k/i8P/ql1uR2ngvF3 2c8Co7sxvmGhFUQiY+yWJc19oRhjlynB4slQjJ95Lu0R8ySh9ZD96Mk69KYY yybhbn6SxfiraFDBM26Mt/SU+XkuveRGPsr/mvO+xLgVoPp6k+zGxtGWB4UN HOdIbCT0+QkNljeOzXag/E/McDm+A+MbCdB/sRTjLT1dEPJqSTHOhykOjJ+G YRfWn8FVlw5ejKPlWlcaZ8goW7rebDuXjV0fimgpjLuB8QhvA4VoRkbHl1rK ekdHGuPzmhcPDLFhzDNQ0uow2Ynyln4m3Tp5PkUJ44/vBO2iR/JR1vLzjIl4 XIDqZ7G42XvlB/koRzbMiBI18iG7s8pkyM4e1D6Fghuz1MFulOOl2XsU7vf8 f/P7qztOH+MHJslkrb9dqH0+jKPyn7sx3tLHgQ5Ze/elfJSHrugsWhRgPBU7 dCk/BWtfvlZmlqNdgOrl24lvQ20h+SjzfbmpqaaeD4/8DWL56dmL2vPm0ndB CwOM90dxmhxNw/jaC5eSsrke1L5otUCaWwXGW/rnksbO6H4IYyUzh/e7Puaj 3C7AEvf+OXZdznDpZbF3AaqH972Ykyu98lEW5vx+tlcmH07x06bLTftQe7oD dCrPP8R4navV+FdvL2rPlr7NJwv0K/FhzPI+NOReXz7Kfm9DLlQVYdf9LNUz 9tgVoHpnfqWn9XdYPsqXDP706Gph7Kpw9EMCfT68YXyIef/ZftSejtwirYWu PtSeLT1T03GdCFHB+EvH7qKIlXyUk4xeOkfVYPzGdbr8VDvW3tv3407VkAJU 70IDqGWb2fkoKzH3pFjZYTwX/zbs6b58aHHDM2fvJmbf64XBMHHXAZR5RqMi ckr7UXu39K00a8Ak9zjGAWU7xBi/56Ns0KCzcq0UY74deuqEZ1h7obEY6be+ Baj+/X0pW/TNB/s95o7q3FiSXD6MuvFRrGMDswc3tBjwLngAtWdLz5wl2F8Z S2H8+tXpu1wz+Zj+2d1XGyjA+Ktqlh5bM9Z+5RfjnLBPAap3rLwDIouyWH14 1+CW1OyoPHg4zvDEHP8w+vyt31uEvslkS87noyxySysjLg+7np1fQF5A9t+W Xuiww6NKPIUoT1xTTNrIx8Ff56/MjFp0ot/X4EzwKApXwvggKcBBcg/G3AtD L+NHMVa+ld2e3oyx7S/H7sI0jMODZYbwfhhX28nmRCL52v/oXmshDOEqZWA2 wdi0TdgxRB5jUb/Ujs09GG/pR56Ol1K8JcbHNKXaWB2KUC5Yrez686EQ1Rd/ V6/bCxdxMNmgQoOBiYTZ/1ooyXS6A+UPyrFfckkYB1f/UV2oxHhLX3517tUp 2F2I8hkwPTlfj4O6xTbth453oe3PypZL7mHD2LR5I5ppjIzyjISLZH8Vdn1q gslW9R7GYzk5CfmWGKcYH+xY1CGj/mAp2fvxiRjGvnRcS+r0GG/pSWyvgc2T GIzt+V/6TYpizD/wt3n3eiGqL1x8TgzlrBiTePIEnGtx0P1Gc0/Qv27seyxX /ReiOjHOv/tX5LJ7D8o3nWpaMhQxnr7SdC5vfzdqn67bZv6HxS6UC2+pL/G1 Y7ylJxz7uaKuFGNs2M/c2HEGY64HbzZcWYpQfdHglffWGcKhHMXs/n7xHg5K 2ai0XkTytS173n83wxtkYswunabj6ovxo66p5d3zPag9FYI3Hg3XYbylHzc9 VNQ4SzF+ssNtxsoMY9BGDgyyKkL5gfZfFjX6IlRfTFXFjQ1/41DmMSln2luF g/u6eDlJ+n2oPaTcnStqQRiPXxdfkH3Ti9qzpR8xoU3H2W5jvKfrc9p9CYwH rh8MlxQpQjk+e+j6KKkQ1ZOU5s8mR7ZjPMMqfP9wCw6+nPp+/I9SP/r89ObL G6F1fejzt/ThNjNP2cfHGPsF9C3sO4Uxfs23zx1g36/wfaH6M2C2ENWLHBn/ yR8TOJT7lmXeFz3CweLM72UaxgPo83mWz3nXhfejz9867y2TNggzsRiPJ8sr C6hhvHu8d+qPShHKYb4n3K5PFKJ6cGSH5XXSDoyZuEZsGJtx6PldXcTwQzil EOXxvReJ7RDj5ul7Ik7fC9H4/jNpZnNcAofG99NSlY0Z3IUoHzpejh8pwEE3 rrH5Nwo0dDxbv6dHtjCsEI0xHsYPdYSdLUJ50H0+h/gW+16ht9mQSacAxqpS /96Z5eHgrhzbPcVsw2j/W3pBHLi728AM43x43SWUhunFmKyye6JXMbzi3zKx 17kT3PhvWEzF0CzpzSkZA4xPlXcXaR3DWKmNymaxC2PfopHPMu0Yf2DZw/qy GGMtJ9PDJg8xZr7UnHM/gPS///9DtwS+uHyxZOUSxv5XVvAOOhjLOyQ9HTiC 8fdrMq+1ODHe0ofs0emT23gwVndL/mdfXoLqReYKe4FdQxG0v8DGurragdrT YRkY7fkBY1mbhV1fX2GcZueQfK0Y4y19sDvGEi8TjLFkQf/5Sa5imHM75Bid SBfmjxMlZU2bZJT513oO3aJg/HmDJevXY6z90rs353U8MKZPvceRoIsx+2Ep nXhzMjp+odpJWzcFjKXUM3z1eTHWeHsu/uByJ8pb+vD65UPhg6oY14fjWepf FqO833z4/5F15/FUfP/jwEuJbFkSIpEKWaKUFM6xhIpUlpSKlIpkKSGkKPte ZN/3fb9KJNn37a5IEaVNmyUhv/t5v9/3nO/j8eu/ZzP3nDNj7uv1OjNzZ465 VeeifJF2pi/8dVQO8mgxsFdQzIFbWDTv9f3pQePzWNOaNNOODd7GjKyy6kWe fWYdbC6HLbekfG6EpweNr1q7e7fvVDeyRqjVGvl6bEZ++Hinat09JmyDNp2g p2+w+14onW90yEX5IsRQh6k+Ogd5kW/LW839OfBahrTzm8t9aDxLipTb1lrY vf3nxC8WYrfxq31574/9yiGnq2CxF43veHP9k9ZG7KHNVMt3wdiMfCFf2dnk oI49Q952UpCWgyx2wm+eKTcX5Y+iDZKu587kwLGqzKuUM/2ofy3N539rpLEb zVMSHcOwPeVfsjS09qH+Gfnhuo5rutb3HGQal8kjwzq8PJNskxtknIvyxaGy B/sKHXOQW55ySHRuyIFep3dt9D01gPoLIwQsZ1X3o/4Y+YBVWzn//CZsrgRX s8NlOcijt2fXlXrlovxAdPc422GUA213KEomCwyi9oPefvjzPG4Atc+I9xKD Rg8WtmKXvhJzeETIQRb+zbt3R1gu9MmaP7E8PQhc5Jm8W32zUT5g2kR8yuqM 7yfTktOO+ypKP15KRjO8siiof8b9TufY7QT92HKRCfF/Oy1IuSj+/zAd87xl ngNLw8wl/fdSgQv/uNiH+DwUf0+cdfHeKJmPfA3kDclG5cGYA1u5F4w60ft6 OSTCvajK2N6cK1+qhbHn5u3NY1Y6kL8a5b5b3Y6XZ/bfaLApwD5ruDelPxSb p/u3p4ojts6gevxjj45/769rz4frPlj/9LLCbvkTctT2CLY/V2W6iQK27rbh P1AAmxGPm0XZT915hL3vttDtcVCA4nP6292qU9fzoPKORWOjhXY0nmwzB2nn t9gbQ94tR7ViP6g/PVBVjM2Ixxzf825zdedBY4WTjWTFbrS83ndd8wMu7F3D z1sUPnch72SbbP+ThpfnZyV8OuSJLa9xiv2uKfb25i/muQe70PZyHdXUEhXB /t0TsytquROZEV/lM0R8P2phGxU0fSNYFiCzZyjJf+jNR/FWX1z15ExFHmzd cjU77ncP6t+cv401tR1baKXZ4J15L7JAichuVmlszzVK4tK7etB4Xr4rt7/A hL22SbH28VA3MiOeLvFckyloxH6assxkfRj786Xv/ly6BSi+Vqc6zeVsykeW iemZoKXnQYfi3XwD5n1oPEsyDwcmD2K36O19l5mG/bqOI/veXWxRC5eMRXIv Gh/gUniwMRWbET8DL+UUCNtjx7mB6FCbAuS6oEAWv4/5KL6O/FyoPj2QBw+5 BEmO6vfj8Tkwi2R6Y1tKnR9PJ/ah/hjxcnT/Vk8Pf2wOH0nbR+sK8PWPKAfR ao585LJLNsO9YXlwoXbbq4vHB1D7jHg4keWkfNgwH7nng8rygwsFyOPlZN2j A/koXl76Ze/NKYydEhMYJhaZB4O1jlnVwkHU/sU/M0UsfgNo/Iz4uDnuW6wx ffyMeCh29qOJy7Y8dD7D+XTGw1dSeeh8+d2GlMGtT+nHU/NJzsN1JNT+9zjv OooVCfwQ27Ah8UQhqpe/3tZwDBTLR/GV55tMR3dfHvzBrOJxt5iCPs+InwlG a6d/1eXB1H2f1SVyqGg5I172PMhzYMkqhEuRk8KR1zvR7y3av/CotJ7AfqKr brq8D/tSuu2tvcLYCstPImxWYd/nCFd0HMHeFJXwXeEldqFwbsmPDGzNjEr7 cn9sckUS13eHDvQ+5NbTw0dXmWFXLwr6c0Ps3BTTRjEp7FitqBUFbmxGvBS5 TB08VVSIHGp05+cahyIUP80/E4WlagogS2g9l8u6DjSeJpY960an25G9fTKX D1OwwfKm2aJ67CXXwC/8udjofEiIspXHnULI5FIdelqlGy0PqZ95fEoAe9P6 PfEGs13IqaccUvUGsVl/rardk/1/1rcQ5K7yxt7Rufuy8nnsW7kJw79PdaH9 sZXp51zYPuxOcz3eHYLYrlXJcs//dCIz4ingNTctUsR+qD4M1lGLUHz9cafJ g6BQCCUelrPrzfSg/uX07ZqUWrDHw0Ikif69yJ0hVy5lmWBXBMEUFwnstiOA z5KvB40HXjrIff1LN/Izz32cLs3YjHg6E5Ok3/i1EFlnlcuAoF8Riqdsw7O3 FvIKkW3X11yxEyqEUntenN17ug/1r5Qu+bkwCfvF80OkPjdsjqyGdo5Pvaj/ JWEZ53fl2Ix4eeBqwA99buy9+c5liQVFKH5yj4ve8HAthL9D9kjaG/aj9ouH HlinB2Br/PUc5X/Zh9pnxEuZ2b3N1+jHN8PZDj9mNQyKULw8PXpMJOgS/fh/ 6bPm3OYB1N4IgOJRPtijqbfvWw/2o/YZ8bJ2uLZf/WgRLGRt75FaNQhU3AUv WHkVwDri/XZnen35z/vr6fmBEd/SuZktc28XwitXpo44vyGh9tH9OmaHhxLK CyGl89Lo7GUy6k8jb1llXxQFrR/Ysbjo+AObrbk4N3ozBa3PqB/rLhpt8/lY BDtuLrHuz6Di/RVg/314AxWtzzg/UF2opFvdWgTjkgYEJWbwcsZ8/251i2Nc ZBGKl2MBRZ2hr4rhE+f2CE7zTvDsf/8dWgyJF9ldNDSw+QwNzG9LYp9UDYd5 nNisZoeGLMex/SRk9YVasdd8E3nRX4DtXcOpEBSB/df3b5rmbWzfjMLFFPuO f/d/Twk0ZHF//eg0ttB13XpfiP2uZ2OamzR28Z5xn+u82Iz4eMLaxObReAm+ 32e0zv/XqWLYWKj3+9vaDtR/7HtPNzN6fGT4hljZ75cUbM2zk27SDdgCUUIL kfnYjPh4Z1nS8N7fYrhBqp1l3/5utHxUJi1uYSN20e47Mi9+dSF77j1Z5zOA bbTrQvmrVLz+blfw7bsnNnuTmOzWM9hq2U+cB2EX2v4jGlJ10tuxTUaeMd9n wbZ0PXac/KkTmREPI9I/PxRWweY6bDydOFuC4mMV917XtU/o+0dgkSL5qQf1 zz/oHSVQiz2byiYadrcX+WDDp4CVo9j3xjp+OQpi/34Ta8+9uQeNxyVs7rXh r27kGVVjg/AubEY8FDd9/WnYA1v006Hp7M2lKB6qyiTJ5tHH67f0w0jJuA// /YKz31UlYZs1+5d8dcHeKr3ngu6fXrx/SL8mQhuwGfEv79ma1sjnJSj+Kfgp WbNGF8PEpE+32ST7UXt1O4rF7S5is/Em+UQM96H2GPHO4fbBvZcDS+AD5waz XqkBcCT1QEaKEv34I1xYsl7sB3c/n0mbrMbxcJXq+cD1c0WQafngPld6/fi/ 368SvhTBgT5+6ZltJNQf434IafMvnF+3lMLbfkr3T37Ey+8ONOy7ZEFC42HU a+fbCaYHk4qhgq/4+KU3ZLQ+U9ZNt2pdMlqfcf9gWp4jR+wJbMO0tg+7ZEqh 74Gx6b5nFPR5iZdrpVRXsBnxr1b8MfkUuQTVf1vPsf9R7aQf3y3JJlZ+VLS+ jvKvucw2bM2izTQlDioaDyM+mp8c9mw2wTYpNCB7TJeg86eSyRyXEmeL4bFb K3JdwTTUnl3u7ljf37g9Rjz9sveGjdcN7BDpZnHrT9gjCtv77ORLUbwNiOXw O/2oFPLJZU/Omnai3/u2OuknjKlhexB+nujejr17MXbdM3bs8j5Drqwh7MTQ AWeWl9h+R02GbbKwHVmoGl1B2GebzubKO2J3XYxZPnm749/zGVJlsH9YdeDX BWyyyXh2tB72cK+/h/Ie7LdH5E7QhLEZ8dYqKzv8Oa0UOcK3airctAx6hpn/ FGfvQP3ftrNjN5ltR7Y/end7wBvsK1Jhas/bsS3WpZhOV2CfnihxEE/GZsRf 4pUjNyviS2HISVFR8s5utJxb18vsJzN2lOroI67JLrz/+aaCD1Tg5c5e09vC wrFvfJx59u46trXx4gkVPey3ls+N0tW60P6oJmxwvCaOHcZxOUSeGdva6mnu zFQnMiPeCo/wpWoqlqF4u8Jr/cCjl378KAUEXmPuRf0pMHd/cSH3IOuTeU74 5mDXNb5LLL2O12+RSP2YrYzN+YTs4bCxB/X/c3xOQu9rNzJlt0CXWAs2I77G z7kI6b8vxfdfJo6vZjYrQ/H2kbbgpkOBpbCyUmKX2Yk+1N9LL7a1z1Kw746c zre8jZ0h8YPM3t6L+stwSMlQCsVmxNvR3685TyqVwbO+Ug7BGv3o8/lZaamE cOz35nEzmV196PMy0QoNuyQHwPYh3u8eZ0phPOdL9ita/54/bFcuheGtOQlu LET0ecZ8V9Ly0923JfTvC++r3uvCJLT8UZKY/fhdImqfEV99vCWl36yUQsmG Gt+z03h90eKOLBUDElqfUT/qe8bl9w+VIitdPFCmpl6G4m9RrMeiVGQp1G4Y aWrKIaP2ZH+lCuuMYwsnX1Sk7SOj9hnx1/yY46bsiVJkwOZvRNqNl9984d70 8lYZmo8HB443v3lZCk1vblk8HExB7VNNlB99aMDuVJBM/zCPLcGa5XZThYL6 Z8TzawEqLssc2NTnI0ZeOmUovkvv2vRbPaMU2bf4l4MEuRT2WOQXMcVQUftE 6V9php3YeonbHUJlqag/RnyfPRO+VPmhFNlW6OpVkc14+XF2m7z4I9hcjbWv JlzLUD6wlPfVKaS3z7BKcCR/dmUp1KTFpL68QkP98xz1/VEjQEP9M+K/GBvI C/9Ripwr4mjwWQQvt3nOzvHjMPasO0cKnz3+/WvA6afvrH6UQeeAtW5j5/67 v6y9DD6SSJk4po1d+kLlJEEGu+cMsU6MD/vLjP2u4D8dyNtOCq3rGsXLM2eO esY0Ye+I9fxplY+dc6j4mnwEttSbN6MLt7F11KUd3H3+u/5mWw5ZLzh1pNlh d9x9tqPdFDskabX3d4htWHdkREAGm+d1pDLgx0b3e/xVMmuwKkf1u/wVler2 l2Xw1CkCYT8T3r5M0rcdbF/bkefMpKNfU7D1RqzWlr3CjrdIvPWwCJuRP2qN D5f6fymDaz546vHt6kbL01NqjUTXY2uYLV2QnupC5nnGf/DDY7zcYlGJOuGA Xahm7DJ+7P+0V6z+UFq3C23vabGMGkEZbI5HLD9YNmA3rLGTnP/ZiczIF5W3 YKOhKPa7U+Tqn6nlKH84Jrp++t/zxQW+DVeen+xB/W/O6R8KqsRW3WLBNPGg F1l3+J4slwG2UVyq6YFN2G1p60+2S/ag8aharaqPWelGLt02L3uFgs3IF8K1 B26NmZfDLRVrlGlOfai9oU3FWil62BrHqkBvGvbHiFXlPM29qD1GPsjRkAkK 9SpH5ys3h4vcfkEug91WLPJyO4jo8y7nCkt/uA2iz6Pr+V6ar4NFylG8V946 sX5gmt6fTcCD8x/w5+9WCvH0i5GQBd3T5Czp8Z/RHiP+275z071xFHvXTKVF enw5Op+wg6zG96CzDPlcdPwTIbZyuEZ6zaH0l7j9kf6eR+9+YvstxoiRJMjI Ueeoz88dJaH+20pVU73uYDPySdSl2BM8O7HDmS98t76CHXDoyMeUtHL8PASp 32+Wu3H+eWu1la9tVTnctdtHyKMM97+8Q0zm/BvsZz8nWaI5KMin1b8W7jMl o/Ew8k3yuNlVPgnsmMi4/dmm2KLJPzRG/bF7HbTKMqrLUX5aF8hib/YF56t1 +7OO7Rcoh31PH5IzInH/nCPkaFiHfblQ1CZsCjsvh7VuUYKCxhd6MESGTR+b ka94LkzuuXAQO3iNP8HPGrtjWvq8RBi2EHeosgOhHOWzqT0pqy+Qcb7zKAN+ UYv0+GTHeaLsMRWN55xRRPfGF9jOLc1V56awuRsc2AK4qWh8Xtd0ooyUsRn5 7LGIo3STCPbG2he8KxrYUeacSypXsT3OhB+xDMKmnT0yZVpUjvJfWMHcXMw7 nB+l72j/eLK2HK638fYvv0LD8bP0+UJ1BLbA2d/HCufx+JZ02Bpmt9CQGflP 03R+zcdt2PODyrOvtLCLTrq9T7yMTWsw4fjyAJtfdrZjKr0cOirsP611/b/z vewVULDARWnpFPbLHdU8VQexr6bOT9/Yhr1B+EDXTjZs0mbR2zsHsYPaZ25u e4at7tbpKJqC/Wtnuv1mX2yDYb3zcff+ux5bUAHrwwTBdltsRc0psRJj7MzZ aqaDAHtTnv9EkzR24LnTLYYbsRn58R5zs9pEaAXKj3/vUgSeLZXDEiXuz/tX 2tF4LjimkgI+YXMWKrwcImHXfniZL9uAfV3iZLRXIbbioaG/zurdyFk82/RZ tmALTtnExS12IYe8KHsvM4T986RB3tNCvL5BR3sfzR87V1Pn9x8rbLULga+Z YRfa3k/Ex0kjEtgxx5LPV7Bga73K3RL0uROZkQ9vpO0ze9lUgfLhDqWOgLtC FfDKi+nbIZM9qL+L81UP48qwYzVOHbU26UW+JNvxfPVm7Ibo/INbZHpQf0Pl M147VmPP9Ko3ylG68d//v/w3nlJ5AuZWQEntKpr7tT7Unkjk7gqtNOzHB7ZN F873os/3GtzeolSMzch/qubub04/rIDvH5aEln8cAD3c4mItOhUoH56ZedNT o10Bqw6QRGV4iKj9889LM5UPY7OleX/htx9E7Yd0iPSuz8Rm5Mtyt9QvflnY 3vYdY3PTFSh/hvIsXYw+VAHfagXMhRFx+/ZcPqu2rCYh32PxUTSWxV5alb5H zZKI+lPaMhXZFITNyKcVBmafN17BthHsFdRIwz6g/qfpN7UC5dd95C/v1vNh byW8/JwN6cebenbOiz7c/6/tcQL7fmPLafELr4iSke8HfuFNMSSh8bi18yc0 OmMz8qmjyXYn1lvYhnuiSMLp2IlesU5DPdiks3w8qxYrUL61ZvP++0UBu7Sg i6J/ugKmm7x3XEvA4zlwzmj9yhB25tPUx8Er2Dcbn5J0jpDR+Bj5NM5S3l7/ Eva2iZhstyDsQ0zCIYZl2P5XJIX1yNjEjr35kD5eRv6NiFJ0uiWM7Xfjz/si 1QqY8Gi5bCKcgsYje1nxsHcF9uiNKus1FOzVYbKhtn+wj0vKcVfspaDxM/Lr Wm4pk1g77NzACmb1MGzj7rUmhSXYwVX8NY97sV8l7dzq8a0C5WO7Is/lXgns hftFW5U1KmCxc2TJBn8qjmeNm/358rH7WsQX1ndj/wVzvT2bqGi84pSQ/b/2 YzPyq1fYRzt4A3tsJT2dEoSt7XSOap+LfcOTr7S+CfuO6O3BD28rUD62eJ7J 3saF/Ut7ok9NGjugR+JJhVYFnB99fDPPg4bGa6jRnrduHo/vrf2ZopVNNGRG fh0qFHjqch37bHsXcc73/yyf9P7hkoq9qYVHUbsGO0bX437oILZQ+0Qv+UsF 1NG+epDJpvPf+1X1K+Gtlpeab05gp+ltPlZ7ALun45ZRnBj2kn63uQsr9poV F/f6PuyxDpOopwTsF0+UissSsROt+NryfbC3pxbMLXv/d37yayWcSz422GuH 3Zb0uSTtNHZ8YnDILU1suwQZm8Ny2CC+87CAIDYjX/NXfN247U0ldBQI2cC6 ugP1fy/QpLP2Szty2KKovxMVO+nGlObOJuyCN2V/h0qwa0561IQnYL9yL3BO 0ehGrsvZdOzYVuxnRG/x+aUu5MrVX+fTh7D5n+XEBlXi9ROMcuQOhmGLTWe/ +ngV+1D3Lhc1rS60vXdzDAnPd2K/8HaeU2HDXnUubv/Tr514/f/ydQXzUJSx RBUsy9Ry4mTrRe1/Z044rtnfg6z57Gfgo6N4eU6HxhrLzT2oPabOp5uqv3Yj n+/cvYurAZtxfwz7G9/LR09ifzEwOHAnnr7/pq5u9tk/iNpffv07w+AadoS9 dk9h5ABqj3H/zIYxVSWWImwplip24lIlysfZezhLC9wr4ciVz47c07g93ztL zcICRGS7Q8r9/urYJI3e8lteg6i/yHQl0cfZ2Ix8/KY9v/NO6f/xwQfP6j5h 16vluwaKV6F8baj+OSTTqhJZ5chlhU+hdO8K19w5iPsfsLrApzaH/eLHoV1k QRLyOqNU3t8Hsf+I5568bU5E4wusfRrx1hObka/52jp2Z6djRwRq7uDqwy6N WMP6eAm7at926QeSVSifU17dO59kXoms7fhUMfleJQx5EHCV+AKPx4f/SuvQ KHbZMwvl/L/YAseTzeTp+Z5hnr2yIh5nSGi8dxI2BgS5YjPy94bl6oXvDdgW R7J0FD9gV5T4s0yxVSEX3fg8byRfhfL7hjVnXnddqURWHlCOfOpL39/ik5ah T/F4yt2MsmbI2KkJV3dIzGKLPi8f0uWjIPdqbe5w1CSj8cZslw54dgGbkc/f hsyJ7M/C9qiMOj3WhC0wsudRyAS2em8nv+yaKuSx+YOTV+nHEyP/t8+WnOuj 98/wdtbT61Zfw/ba/LdE8QE9/rC3bz+ai8cb/irq2odmbDNTNXbbd9jr74pV 8olT0Phd2/exualiM/L7Vu/zlMo0bHeLJffTddgktQTRP1Ts5bUn4o7NYAtV 6843cFUhK9kAkwPSVag+oKV+oowaVCKf7+DZc+AK9tivAyGRXtjWWyzff3pC Px5hJVe4CxVtz52IoEefH2N/26nErVeG7WzSLJPZg71KXYn0lZ+KtrdCvp1l UQGbUR98E10MP1yB3RujefJNJ3YxdxDvnQlsM6uT3+yXsHkVlePZN1Yhd62I HM6VqUL1RFGelGvm8UpkM2nR/MbL2Ex5fK/H3bGLpNZzM0VWwqChm0fjL9Jw vraW8uK7h21qu26X+jTensFstXaj9TTkk++cr9lsx2bUE2v1DuzXzceuo5T0 +L7EdrkqebWJjL17PnmF6f98Xklk28VrTFXI1I7Xbl0C2J534iIU5Krg3pnN xRU3/rtfIrQKduwOCA4zwb54ffaajRr272wrHe0d2BHjvRJbObFbCuHPJDK2 pF++4aVa7ACLjUVS6difDnixTftjf5179uXDrf/u75MnwLjVN3SnLmAf5hBL nzqC/WPT4NKUEnaSuN/pj1uxGfXJKf3hh/etCPD8Iok8uq4D9XepS8Pizc92 ZNukog9vRrEd7YUc33ZguwLf328J2He5f9wfS8eeD5tjJSp0I9/XbFi3hRN7 /Vzw2isfu5APEk7Xz+bg5Z77vb553cN+Qcjcynoa+6ZTk63OiS60fQPrXY12 7cXeky6tyrUJ+9HBke0/f3ciM+oRw5FXgZIzVTA3naIitrUHLY+IWLjoP92N 7OolHDRdh/2nUZXUrtiH/M/uPdgHAuRDMsVPEND9GySKx2bz3Co4crmj78PZ AXw8uKyyzC/sR59n3L+2yJsqv/FPFbLWhrK+qVME/HtsNsmZoidVyC8bim+6 9lTBwBB3yQKeQdR+jMXATUEVbL/Zn0sWF7CL5AU0p3IGUP+MesZE/9i5XA7s j355/t56BFTfNMcdjrBMqkJ2zXy95NNWBaOmZtY/nsLtr3p182kZKxGZrVyb +7IU9tjX0EwTXWyHQLtFT/dBNB7Sn7arJXHYjPommslY5vOnKuS6v0ejNgjh 5Ze5WyVW6WAnddQPv3MioPqH6Lt/3/0kXB/5TacSK15WwRtJmdnbh/F4bMxk GwLnsW0dLlvn8ZHw8d0/onhzNzbL3X65+5eIaLxKfoev+XhhM+ob64VJg6Dp KmTjpKRj3nx4ubu17Q/WA9gJJRPilubYtQsXTlV7EVA9xMPpejAlC9dLkdIK Xxwaq6DGGIgWq8bjW1hbwxvZj10mpRSx+gu2H9/YXYV1ZGQ39gc1x8Wwj8a6 NO42IKHtkQsc3c9yBRudHzHit5v6heuhp04va3p58fIf10Ocnyhi64zsdlEz xI7XH3SdsCOgeknRVj5BNRXXUw+sef7I12ATLWfMxIn0eMRtm7g9DY93wdmi 6nENtjvNuIeJiP1RPMjW9Cv26JnEquR1FLw/wIugX4CMtk/vLV9l3mlsRn3U /nTe8MUUrpeipv00L67Byy23b9q3VhQ7s5LV+PAB7D+hwT2TJ7FPXOU64ned gOqpwVTfS7+e4PrL7Pjp3auKsV8vSi1yNGNb5f1pERqpgqXBVm9Nk/D2tL6/ eNaMgK0YGBNv0ovtIuJ/QX8Ke2PqlxNHdlHQ9q6i7H/iroHNqJ/uLNcb2H3H 9ZRA7Zegjyx4eaW7UNuVrdi9b3wjY/Zj77jg/lPVANtzxN5o/BL2wNlLlf7u BFRvaVqpkqXCcL1WtJ6F83c6tmBZv1ZrNfYDs0T3J11VEDRE/1y8S0Xbd8z6 7viPJ9iqE9t/fSjBfto9VPq+DXtfdYT95Bi2rFOqgTUPFecL4/0qrlLYjPpK 3KzjweAorrfu15lO/e/7wfCbbe/0/7Li9dUDHMr4RLFX+zV1rdqLDZ0PCZ/X xfayKrd5Zo5dd0L6Kb8jAdVnzF0Pyl/H4/ousKoxc7IImzNlTczXl9iRAVqB s4NV8OfPDDcNCxra3ob3Wmed3LDDh94dSovEFhxNKY75jbefuVRGuH8DDZlR bwV/PjVOeYfrL03n7M3r57F/Ly2cOsiG1y/xNQi+vgXbxSm9JlwBu+Dd9AUd Ley3JofWLJsQYE1455frlv9dT+8lwIMHJFLE9LBr3rqfJO3GPhQ4sCZIAPu5 4i6C+koH8rmGWoO0drzc/bfBfaYS7Njdb8ovRWETrjhONt3BlvUT/vbeq+O/ 511WQ8+rL01W2WJ36VnXCplgi+xik9gLsa+zlwTqy2A//2L03XoTNqO+k5e9 uySiWo2uF117phq10E2AHG8NxC2X2vH4bPmXY6ewLWdHqP1EbLb7mZVsDdhV bHYRWkXY0WuklxSOdKH+xc+pOO6VwS6sPDKxjxP7AOdZswPfOpEZ99PyEMv6 Fefp9eg19jgZz37U/lyBV/MQaz9wTg07H7WA6ynxt/ILB1dXQ+7XHp3BAgNo /fsrx7dZaGBn9XfrMF/DDuHYtc+5rB/1z6ivdjXa8n9RqUb1lK9+gm4pfTzd XNc0DvAMos/3R/Yzv9+N7TEaHLDHAFsjrsbJ2BY73eitnXbYAOrPPD69dLIQ m1FfxTF3cZttw968i8Nwxaga1VeaAvqf6akOm+v+tSMrBHr9fDZc/Sfu71JQ jt82DiI+fk+slDbtwF7bs/H8e3VslRDpa0L2g2g8N235EyX8sQv0VvfJpWIz 6qkdnwo3m6lhR8OXp4ouVaN6ykr3r2/8O1xv9Z3Zd/DMarxczc5uWmBrNZRK v/P1Wx8ezwJrhvC1KewOh64jb1ew1wQ05fEKkJAnqi9kb5fHLtMXS1A/R0Tj tXFxsQi9iS2W2iUxEoDNqKfOff7Kprcde07yc1igFnbE5SneTqtqVF8Flj4b Lqbg+ot07Hmi3A9s8Q+15wvZquGgw4EcvS48vnhJiS6PcezWbiVi0m/siy12 a5O4yMh/XmQqJW7HBptY714+SkLjH4rUtTxsgX2b019rpzM2o5567tnNVqaA PcG500DyGDZnild4knU1qqf0tlwX1RvB9Zda997Rgp/Ye+4uJW1Yj9eXkms+ f4v+9zyzTbtrbw4er9fnl4/ba7EzKtXMLQawf/tUv5n6gL1FSc/fZhlba5Iq /4mXguP3xoMurrJktH3aAVubUyH28aW1GzuMsRn1VIsK50myHPbxhP6OEW1s ylK09jvzalQ/fTIa+fJgBNdf1NClSyHfsZtbRYaj1uL1K1arnUoSrIYhZlqL tx7j8UbyT4WQc7GjB0JEVV5gm1V7nksYxG5Ot3RYnsLeG6btY/EX29VlXfor EQraPo6Nj8IyFbDTyrZ4+GljM+qniKruRPOd2HZXUpT7DmIfEXAa0DbE3tGm eePZJfz+qxrmwtqkEVx/BbWPpPZMY58N5fRdWYXXlz6pbqPAR89noSbKo15U NH6OlCEj0yhs/VILx5487MjUB0sn6rE7jVpNKURsp0vHg/ayU9H2uV9NsxLa iv3w+szBlT3YjHqo/3jzs0RF7EJuNTZ+bWz/gcqzoabYl6JkC5htqmHYoUBZ L0sa+OuVYDtynwBPPa+8WXaNBjITco23htDnK5eUNiqb0YCth4ae1216/a4N fhA+doCGibMxu9gT4Dv/Y3y5fR0gZvBv2umWeGhKSw6dSaCAK2bGLVnHUmFz xY+nlpUUoGOfsLRE96l/7q+mAoLLg1Upkdh+a+r0BPtTYeXsuY9Hn5LB1BPP Uzxv06HzvWc1U41k8DukOsyZbsOv9adfZNOP361+LMdm0qGUZ2ePKr1e2+vd E9ZyNh1GFlYs9ZyjAVVJtwiR7HRYlHXLehN9Pvh8nZy3lUcW5P7nhTJkIPLd uWpTPLbeGYeyY+uy4XnTbSuXragg2q2/PeBbJjSXOHe4yIcKFm9JXT+4nAmd khIeDV+ggnYPtfoEiyzY0/W/f0Rwr6j0Tj9LLrL/3B7l2uBcaPxHcqNEJBmQ pW69V3XPgfpcxLXJBWRwyTy8QTYgB1Yv1A043KMAD9by1RO+OTBe2NBbOJIC 3te9fF8dlYPiV98Cb3XLpgJ4Oanbbm6QCADH0vfEmEL0vhxOUSfu6vgSaFSg mnz87QCIN3ENPO5RCedYFOX3LPYD733hQv70+fK/9QgNjC84CppUxyGvng/u pJpj31/Yk+fiFI+81Wg7JZ0vHop9qq+6dYIGZANGrfpWx8GdrNzlIVo08I5W 3hBL/zyfToa/0l4a6PuSffN/y//9PRC93o9W4O1xiEe2VR5eHcuLrV5z+9w4 Aa//65uZ7C96e/bNO8RSl+jzoYfXrh7piYceOuqgfRUN7F/8zkmgt5csHb6L m5cGvnDxvk2iLy/93+4IogA2KWqDbE8yclsQ19ElS2yfte/L9qulwOcT3b2R DhRwfXeiPYdVMnofUP3iB5qmZgqyoOeqg9uJeLmrcKTMr6vJML6BOrgoTwGF wyInbpamQOvNUb/OKFOASAyZSYDuf65Tr6IfTzRR2wU1bG4VLp7W7mRkRcLn eG+LZPR96DPN6LYcwDb3GSr/aYV9ccKdeU4rBX5onO8KO0MFpTW0gIKLyfDl P/fnkMFnpivcWznTkT08HyqmdaTBwY520xk9MrgsaXtn7Yl0+Fq9v97oCD3f OU0/Xk33v/cP0+ubpK2Kb9sykc2LIhTtnTNh7RZLSsdZEvjp8D0noiUTHe/O kROsrnV50GCp54plDREcr09diBOi+93MBEcmEWT3tzR3COSh9yedfWgYmF+c h97/5H1HU7CfVgANzA0PtPYNgnOXLr87SLdmx9czH1L7wQU13WqjkxXwlrmf 9lhrP1h4lX8s7GgFNFis8Tm6uwM93//f90V1gM7XezqFXeKRVUxITVs64qBQ 1s+aI9s6gTb5rVGZBN2thJRfrJ1AktW4cvNoLNR5nK4V9a0DnGAPzbeNjYXv bz0w3E7uAFrccpyhp2LR/GPsvLx2XEo8pFitXvjl3wF2/C9+KyXAwwRBMHke O4R1bYDGt3ZQ4h3+uDQxDlokPFN+TWoHjzcFTv80jUPxWGWMd6a0NBZ591yD cLQ59g52J60767CFxcSuny+LgXXKAa68PyiA5jR/9YZFLHRZVe9stIEKXFW6 /dTOx8IVXa9WvW/0fP53tRzkjIP1Fpbb3VcooI8lcK1BZSy8BUaki+jHU6ac ZdFoUSwM1jCK9PGl54fylrwJ01jY+Hr127MPqaBkYKd7MnMcnG57ZnjZmQrU RjedmKavf4K0/w7xMhX4sPx1uGlG33+dqweObSaDLV+9dH1Nk6Dd3HqzCXUy WL3ct67ueBKs15j7xipIBqqquo27tydD76DBHZX04/OkQ6bf9qdJKB6rsnby nn2bjJzi3hLFfRt7S2bSYLdBCrwafQQc4CeDiuP1LBrmqVC5ZKVtbBcZsLNc amjYmgpfbt4wvl2IDCzep0dyDKZAVrfTWhIaZGBt3Ei6cDoV+p6vLRik11t7 bt2tiaavz4i3Qvo+Sf252KtbTsqddcCeAuJ14/uwL/xI6tU4n4a81n5VT50Y dsEnqy6ViVS4rzOydGA3CQCH/aELsmlQ9dAexwumJHB/oufYmp1p0E4r2Xf7 ThJ4EHLgglt+GsxR5goNUycBinzwTturaVD33DYXwxoSuC19KOuHcRq8GLmq uLedBJ6Mfe33fJQG+Z60HH1eQQIqGpO8VJM02Oju42ecTALVZfyK3MJpUFxX PlZelQTWy1Pzz5ekw4avU6VTOiTwbHdDZG8Rfh+agpKawQAbtuTgoJNuSxqK n+Fijc6andjKm5KK9/GkQ8/XVvpxrhQwnMiz71s7fn71vkdKTFLCGciGM8ee 3SOlI+f3JQq5FuLl6ccekqqsMmCUT6sQuz59/tKbQOVtyIC7Bz1O5VwhAo4H R7fYPM2A5hwp30N06fFlrfEtMmcmHOK8/p7wkT6f4dmdXKGQCQuPr/tyvJc+ 3xGObpOdyoBSpgO+v6qIgDn5Xop/egbMHi3j4dMhAt/U2LWnjLIgjZqkx3WU CFqKPTjZ6fleJyFx3W9rIghYd/N61RGc7z33y4fm7cfxz02LU0LSPxPFW3Xl iwPLzdiJx9Nm4Y1MdPwmBFzZIOeaCW3qkr23BpMBx7iIgMSWTGjlc4Lc5EH/ vHTljj/CmShetlSp8NfJ5yAD+5Dx4OZsOGBfabq9lAgI/ZmNQ+XZUD3Kepip hAiUDobtZKvIhmYNb4+dMCeBSWtSs0R+NnQo2ryh3ooEQiX2b7tJN+P9j0xs 938nSOfA4XQpppsJJPBUYuCufUk2vP1YszQhhgQ0hz09Wei+yi0nOW03CPbw bISSH3PhzuHy7YYXBsGa20KLW/7mQatKk42TdfT8MaeaXDCYC8m8ueSKQhI4 7ntojUhnLpz85t/85jsVFI8aDOgQc+Hy1MO8zT4DwEaW5h5jXQCvtlv2CQcM AMLYM5e08wWovqFE9UdHqRbCY184LEOcBoBg9sIE8+tCeNj/xfCZwAGwtNk/ 80tNISwyItRoDxDBW+Lla+SzBbDnyZEzHq+IoF7IyPWhQQFsfCFXxTQ+AG49 Fzvxd1cxrJbz1hOlDgCNH7L1f/YWwwPqI+rsHYOAU7H0aKhCMXwzXPQqsmYQ FHBeqd20tRh6fo0x4WUe+P/edwtW2Mvb7pRCXtPEBrOCPqBG9Ds3VlkOHxOG fm/O6wO+w5wNHo3l8Nob2aS9T/qAnNep21JeFfC47tJ9p4Q+0F+rrdQAKuAe Vblrhct9IKRRKJtJoBJe0Tpy8vfrHnT+0T+cxLPfvheZYrNyeL0Ydlz4yJUU 214w//S19I2ZKnj7jUdXwPVeMLiquze1rQpmH6w99j6hH0hZ9x63GKuC8Y1L ArET/95/9NWLMd/pAzPDWyskKwn4/QgKX5n+0ud/se3OSefH8fuDiYb7GuoG qcCpJVNHz5IAc9dEzxwdoQLSO++SdXYE6FE9I0mdoOe31RaCza4EuH2v0Eum Ffp8B7btl7QiwK7VBrxX6evn/ckUL44kwFC7Y3b3TWloPsSoP1PbbKY/E7Dl R2ZrLNuwyY+kDhJo+Pyo/PnfApyhBCgWEPNYej0NbV92+dHliK3Yz26t2+9K o4IVkzUPbuyvhjEOq3Zx9lDB5u/Xe+UXCLDkyuxFDjL9eNWrVN1Fnw+3nP8U xz5Kr0fTlvJ2bKiGo8Zv+tneUwF5QVtAfHM1TG9dSvj1lQpesZlUL2+vhk6b ZtqaZ6ngq+2+I893V0No/Xk2ZpkKBDr5h93o81PuyvFttsw0oCkzZ7f/cDUs 3MWl3DuA53e377Ekvn2PzaiPFfMadFmOYd98OKMmdQ673EJS6ciNavz+yy3f +Z7N4/3jvuimsHo9Xu5MW21whD7+aC0j3r97aOjvKzKyEgzWYye4TR4UFsX+ cPVPSN5OxvnOmP++rx1gdYj9jomvMaheOr/bKf5bQyyUZArc8/hsB6j+33mV slj4Le9nZGw19qlh0bC0AGwF/wqoYEBDzw+ZzDgUpXp/APyJkp3KNa1A79PN 4dggsvkW/XhvG15/6h4NFFpPsVn+IkDmUz7kUw9owMTz71rO1dUw9El6d4AH DdyqlU87O0eASqMlwI7Yjvr793xpO3gfWxiSWh4LxX71/VqnTANj6UqeaVP0 4/vt0WPz6jSwY62pRwC9/UvvX23q0aeBfVee/bhEXz5+RMpswAnvn3/zPw20 3F4y1BXAnqo/tOGjZDU6fuucdveuWiJArn1n3Fou0/55v4UL/e/FffnaFhsV GjjtL03VVKXvf/Z4fSEN+nxdcuF5vw59/0+fv0fQo4HBo6tCdU5WQwNoU3mS Pj/rzGJNf2pejfK39vjK1Dv/VGT943khKUxpyP7rxkZvN6VCtxjS7tZfZCDV t/eBemUK9EzUbspWpYCn3f7zJ+if/zZIsKmUpoC4qJE2B7qzVY8LegMK2LJA XAynz+8Z85kN8ubh4aaJyBo3DFWu/EpAjio55Xn3eSJ8aRrwI/ktBVwM2NnA vy0JRncL31PaSgWjCrl/xMST4FUeS6eLYxTALAc4T9PnR0rCcR7CExTwzZwM z/6f+VLT41pudZNEZO0zn/SNfyQgr3ertpupSYTaGx0U4qPo3x8XMfHoy8lQ xSqylTmCPt/ccGb+CN1To+yxXSZUsPX8111a9P4Z+bvyScW19bsykM+2pJ+v dMmAkexvBC04yWBTf8Hkr1PpUJdbbtDdkAxECbeUekfxfErnwWPw1yML+feL fUb5w1mwY/JHuvU2Erj8tTbYqisTzt4fq5mj13+2fQP67Z2Z0Ndj3f2qiySw Q4DYrOOeBfPZbRKvnKO3R7kgdJNu1X++XwMg4/dpp7HFEthEltp9ta0PjHI4 8Z8TroKeph89LWb//T3GfbUqqAKWFmlC/WBHnfWykiMBZhzb+2fMhgIyHNt1 TIpT4MsTjX0LBRSwzvht3WhRCnSqO8lRlksEryPkmepZc+Fq5zZZRQI9n5qV zyjQnejPthLRPgDWpZ83Cy8pgaXztlSpDwOAdD7U7GlyCeQfDDG5Gk4Dn1oi 0vpVquE94KTT408DHG4N96zo8TCriiX8glEH4E2pteiWjYVbVJlvtqp0gHV7 dys9fB8DbxlXjKautP/7vhfuWHQ+U03Gg+/F5lRk6a74i3+bUuCj2QzhpCP/ nR/dkgoFLvB1RM+Qwfea/Zy99OP9TlSGK3GJDHTKky6U0s3GEj9lQZ+vE3yv LcfTLdd1MGLtbgo4wd1WFk133CBJyOE7GTyQNJS41ZwG9/WbAtbVFHDWaL6l im5GPffD2d0mPzgVOcubVB7Ymgp/SoYFUe6TwfFrw8Om69Jg2a7CkCg/MvjD tTzLtg6/v/mC4yGlk81p6PgomSycZVbLQF6WzRTsnElH84mG0o6gAxfT4ar8 uQ71yySwZ/HARINPBhRcqZe5RJ+f8w0N7F33kP75O9atB5nJ4HDUFPcW1wz4 ItbxogJ9/vXtzqaQAvrxu1IwJF5xigxyqW2sxXTXHCX6+wMyeKv6QMuPbkZ9 2Bk3JF21OwOmLUfr5TwigV+XBO1odzOgliEIW5dGAjs7baIDPHH9rn/vZ2j/ B1wfj8X6hesG4fo5ymJZVutDFqzWq9JTTCeCj5wiu0W/4edf2xfxNja7FkIL DU/LTtK/z7+6Ty2FBjxPgsYf96H7+2trj85fsutF11+fHy7Wkw3oA5ayjiV/ 6fULb3GdW2pSH1CuUAsuptcP10uGnkdY9gHOjOO9LAkE9LwHsP1v82AhAXon tvw4Z//v8xaEcwjwgPOdSopBH6oX/jkdfroPiDRdftQTToAdT8OCben5gZGf //170UD7Td2jd67i+A5zhHPUQDWMf3MxhtMGv5/+FscllVvG2Iz1+6WH78Uu xiDHFezq9M+OgVfidMxkvP73e0ZLFrlzcXCpUVff350GbPZtWiVCt4XOcbV3 QTSQv9fslzpTHGSXHZRlpucr4RFF8056ezRP/YWcwzRwV3rGqJRuxVveetP7 6P17mAvznopF9YPjzHer+NOJyFGaHhXjPxOQOQKjeuALevwu1anQbKGConQH +WyHeHhPuL/wLL0eXPPR2CmSbiX3o/Uyr6ggsDLuzmx3PBxaGLL5wkEDamUp P3rp+eBpwTrhttU0MM96BV6m233yz8dGPhoom+triY9IgD0rxXasX4mghHZX 1S0sF/4K3PZj5D0R6OpcqBkNzYU7ZGrl7v6gH1/aCp9/bMuDwx53HBUK6Mdf /mfbkqBc2LFD+cGnCiLwcvqam0Y3Y/50YGrogy5/AfwbcYfljCwRNKdccJYu y4O1e5U1Wu8Rwaff9gRN83x0fkq5m1mWxFEAW+YdTgdyEoG2aFXF5TcFcH20 7R7ZmUGgW+M8Xz5UAGdjaTunXg0CwS3bntvyFsDW7w4tEW2DYH5jiDcbTwG8 V77H7YfKAFgI8bQSmyuH4szhr6V7+4Cw3WzGjjUEOCzXIR5S1oeOB8b3f6aD KSCFNxd6cPZavLEjgTuVx590CufCHg3eXi8jEhgv+67QyJ+L6rntgxcVvcfy IOcHqSthUv/dnyqVD0vWjj2J20hDz4ezkVDiq/k5AMaOrOTeLi+Hbc2++ls2 DoDHL36nsh6ugj5NJw202ClAPayRudElFnJYSTYJ0+PnpHuQ4EOJWNiZPTq/ Q5wCdn54wvb2Viw8/jXtMociBWxUyfAPEImFg12abmOrKAA2R5wQ2xEHHRbf aG/noYC505ssuztjIUGsM1WNHk9HGlLvr85OgDUsRkpr+ChA+M789EXtBFja cblmIysFXNo1MSIxFQ9/p+4v76PXHxXRM9k30xJg0L1YtwZBCogqr2iq1UpA 13eSeW+tn3qDzwdLK3Q/+2ueiDx5rbzJbyEBedU1drPjLxMhB6Foz9M8+nif WW3ksEyGi8sO52uyKWD+cF6KEN3H40VC42wpgOR54magZBKKZ9s6QoP+FmfD OxqcIcr0+UK0osjtbLlsWJEQtMBFr//F5V6rfz2cDWtg9AvLOzRg9OLqm6/C 2bDutlFb1Ucq+LOH2dAvOwdWpf/Kvv+ZCkTSFqKD8nLg7dN5Ag8IVPR8aMZ8 OOZd5KcVoWJU3xiebLVPH0tDTuRZWZCTSYcP8gJKhC2pYCz1wKV3MWnQft3h v63HqUCMo+iDwBN8/ubR/HfztMOZyMdJJw/qZmVC6b9srQs3KYDtXsGKAMTn L8y6DQgz89mQGnjGhyhCBjXFezS+9OSg43XfRS9vtbxsVC+tKIX7Jz9ORR5o VNP824PfZ6ZdrdloFZYGTZ3GvfuO0tvPKv3ivj4NLovaeoTpkgG3zuOvBLoF Nsj7PFxDBiWzloEG3Wlw89b5oL1MZFBFbVLPCUmD556fZpMSIoNxnq3+FZ1p cLRp8rXkIfrxSk12uhBAz9fzFeu86fmt/dKp25rtaah+ELYcKrremoau39ed 4jC+JpMJae4f1Hm//3d9fiwDbq18rf6/5yekgW9/jSUzYYZlnmyFGQn8iWgI 3iyWCR1DFMgr1iSw2rTMJkc0E0ox90vY0+uppwFvt+gyp8EDn3NFpzPpxydF fdMaur/zpiXcr6Dv/3Tp9S/p2/P+g95b3yR6fevW7q/QlQbbihoT31RRgELT 0gbDQPz3Wtp8a8mVXm9zavJUEZvJwH1BXmrCIwOuLXCOetRIBvkt9u96tuG/ l/lQqKrJm3S0vxfg68ys2hwo/06fGEQigcS5z7x2T7MhKXjx+9gACTgO2LGN V2fDJ5La+V2nqEA/OGwmlj4fsPTp/3Qmlgog/+P2+JoUaOcjeC7pGBX4JupJ 1IelwlUWVh5BBlRwnFopqnkyFVrperzwuEwFEWmiDw9HpMKmsamSHdcpoG1f zu8Q03Q4ab+QNl1IActtTfuun0uH2xstSCd8yICUyaFd2JMJAz9Z2Iw/JAPi jlf3luh+XLZjQP8lfXu5NSWUqHR3sXc1uJGBh6+BA1NkFiTVC544F0EGz0o/ X5mLzoLH/LtJD9+SgLeB+Jvte3NQPeMgrC3GpsR4nwIJvKtpS3qemkOPr9K2 kfT5YdSI7R4LgQJo4bhy5ajxIFBpXIk4IZoNo5t4PeWuDwKtXkMxkevZKD+k hhRc4Z/ORveLnJcJttyakw3X3m3t4b02CAofvuff+CQHdg1zjR0NGASjHZsF Hk3nwO3NsgK+XETwm6xz7OJINvzSquo4tJYItFqmrMd1c6DerU+exkuDoHYn s822Y/j8X2pfoiFfdhZydbYgd//qbLhVdjo7XJkI9nl4EwrZs2Gfel2VjjoR jMduYnNenw0L9cz0H9Lzm26tWtKfuSyoXp3caG5HBLelLOd/L2ZB1psGUtIK RMC9OrHvW182ZHVrcBrQJILv7ZrWJzuzYePl2mf+Mf1gi67TA5YPRTCQ9cml Gwr/nQ+TL4FXdzwYkV01gJ4/xzg/dvzE7IKoXTH8e+bwUH0wXs6Yv/AvTBv0 xRbDceLOaIWnfeDGjhdfTG+UQdf6jFF31X5gBVMfXDQrg+0zb8TfyfeDEyHc Phf9y+CH1x5NzU/6wJn95tYf58tg6eml3KaGPhA3ycI9u6ccPveQvPVSpB89 z+Hf/NgPYtn9ElTyy+BIlnhk0cN+kHy6cYJcWAYXHz21Mr7QCy7XaAtef10B a7Y61GUm94JzDQcNIqYroFtDw/1fRn3AzexMqgStAsry8h3mO9kHvKsXxjiF K2GY09W6D+J94AX/nXydoQoofF6Uv/R+LzgrO9xDzaiE/lLz+7J9eoGFJosW b0wl3C28YGdMr2f7K5K4SnZUQjc2mXeH5LrR+a/HhySeBbNgF9sJhw+PdSHr vo5UyCzEyx9IKN0T9sZ+aUPufmSCXbhma19zVw+o2PBBpc+SAO1auE2CO3tA /ZdV2nsTCbB3c49nVVAPOGO92b7YgQDT7zKbP8voBlp/i3tbZavhHy//jK3Z 3cCi95yY5MZquMeCbcKX2A0mC8101ihVw9Xrt5zM9e1B/TVu1muTEsDnF9l9 J7ckUXrB+pOz9gZHCVCq86JR7+tesMqOWHPrKgHufOo+84NIBRTJgR4KLR2u TxwxeTBOBRtC9i5sC06HlyLisjjW0OvDKyYi9yfS0f0YXmbd9z/20/Md9ZsM kT6/L7Ktv8TFnwbVHv5k16LHq+HNM9ssktPgBoeV0QOnqaB4oNsrakMa1PD6 /UDnLhUIk/aFpXdkwNsbrROGIqlAdbhpwVkhEwos9rqO2FLBt/kj+881Z8Ck J79nT/6hAOVTz7xO7MmCYh2sYTQWKliJz9PSOZAFD4d8P/5ygPLvfHVbFhw8 emndr3IKeCF3JnaTYSZc3u3y5lgKBdTxr2GWO5oJrX63JyqHUEBSV7Z/xNVs GHHwhpDyegq4El1t7d+WA2+2KL9YK08BqRd67pZ/yEHzxbFt7nP29HqBZ8hh 7Z6h/55fk5UDl3fUP22qp8+PhzrUrmzIhqMyQk/la8ngNq2/8BQX431C9Hz3 ZkBI3Dcbrv7++s+KOxn4glesTEtZ8OhKM2k4iAw6Khr9Vq/C75MIev1FJP5g Ccx3O+sJRYjo+24v82iQtp4Ikp3O1NW8KoZv/7SdOytMBAqdeZUfpUrgW8Fv cgF3B/HzgP55PtggmBbJ6Uh4Xwb5o34taAUMAHe7XN0t9O8HIx7k9yU9u6lX ieYb7QfePafFpyJvHT1UkzKcCk/c3Dt+vo0KZtaq3QCb0yC7F8e+Mi4a2NIZ NGGyLQ2tT259qWL2Mw1dP13KYnNy5c9E56PCPvF3MjNlIDdx2zJVGmfAwiXL vB0jFGDEfdyMPSMDFje8DT60iwoOaVbyR1bi9eVGSpd2teP2tooasx6/nInO r3lENggJK+fAyYst0Jc+P2Y833Tjvdu2BDcieHDKbqvaoyKo2h7CfXZ2EBR7 ZPA0PyqDNYeYzmf/GQCve2a7m/7+n+ejxIlyrhVIgHsEZzdxPW9H15vR7/dS jvfsWRsHp5JVnj3iIoObSWu0VLjS4JojijenGsjgq1/Wmt41aXDvlne1vjVk EHnk+iOOtWnwdIjh7d5tJPBqvsNdICQDbn72oSp8JwnUf/UOdAnOgOds80YW R0jAxJhqGOmWAdPV9fTiO+n5U2LfYsidDMhmzON9cieuVxn722dDUEuCbS48 GBmq/jSPBHKqGhd89PNh+M5J3UkKPj4Y+XRX26uFD1VlsPVF5IRMzr/v+91/ pwyO+n7nutI1iJ5Xx6iHeX1ysmcVK5BH2AYV+czo8VVGyK7u2b/va+RdqoCu vQY3z/wYwM8H+W/9m5NRXOvTKlC+Kr0RLqeYVwVfVom0UFv70fmzS/2gtZsV /16asf6Og5+XSZOVKL/cKyzn0hrG109SbcLq9sfg+9VZfHRCfwZgW+7tuH0q ngC1WGM+r4/A1yfOkbeRdQOpQHe1dHWKMf34Z/GpnYinAktv1o3VJqkwuojt R+dD+nyjdPTr1UepMHTMY8D7HREcbTfZ+5klFzpWynMOsA8CTTXiYYP4Elj4 6NuRAh0iMDhAC1z6Vgr9JodMPYzo8+vyiS8JA6UwiXJH3Ipe38i8E/wlaVYB L2jeU2UPGgTRD7S5tHwqYMxrdvY2yX9//2RuXgGdhsU5ZHgGQeusTuAfzwqo JL/dkUnnv+dRJlZCm40Zi++lBwBT9aYwtVeVEKhpjM+H9AMw8q32GFc1nDNI U76e2w/2xo0a/t1bDUMvDyx3C9PjeVzCMskiGf6zn4+Qgb6T7rFgdsb7Tklg 5xV51yNOmbBOL8DfQqUDtCqIeRN3xkFD5lyFxYMdQP/j6NtCu3j4Uq9qTNC4 A+xybQvNLYuHhg+/BCo2tAOj2NykeIt4+Hp7J9n2ezvwj7aoIB2Oh9O8XN3W Q+3ofhLG9QCbvr8fPTjj4TbQSpOLJIOWwTiZKM5k+LK0vCwikAzm569lG7ol Q6VOw/mHuyhgF+wtTW1Jo4//YvFf+nzjcXi55UNBej27Qb5uzSkyqN8Zl6Ij lAlD3RNTFZ2IICMrTo+1PhsmMRfbphLp9dL9x2oBOQXQkF2U+93NXpCxtPXq nGwVnGSOW5/lQM+XbB3+WieqYFSEQXpkRx+I2q/VI5NPgG+qJ2IrtGjApO77 ZFEeASperrPvO0YD7sLnV/orCVCZb3x/4CEa2LRUreiazPg9Uj+oN/xTf+Ac /r3rtkMFmUdWVcNIFgrFPxxfj7gzFbN6nTcNmLpsmwkootcTQolzbIE0sJP1 tWbIUwK6vvEtzVjQ9xV2+6OOG+WDBHQ/zm+loNYJ8TiYuekljyBTB/jna3Mq DvoKXQ8e+Er/+4D4V+t/x8Jrf498anCkgWe9t54831ANd46Ec3dNkwEXs/7p hwGp0MF5/BbLVzI49cXg4mmDVDj26ckWWyYKkKjMW+ajLxc19dX0otcDTztT /oZuS4IscUOS3OvJoDiMNfPr23RoNHciy5w+n2PdOTyc6ZUFFfVfCPhLkQBT 8Cb273ez0PXQYbX9lg4fKiFH4ZGNhTXtwC88uzbkeizkYAu5xBNMA6I7wjJK 2KvhmOHU3aQgGii4sO8XG0c1zD1j00T0w9eD/p2/0YDAK6H3liLV9Hyy5+rV Cx3o+tk/++FIBzioeDx6siIG5WsLuYz/R9SVx0PdfX9Fi0K2FhUipQiVtGg5 R1K0KUVCWkiKNrQQFVJIKbLvYxj7NjOUpELRGNNszAyipFWLLGlR/e7ze76P /jyv+XzuPefcc973fT7cc888X5sxIq+UjVDeEPzf/e/NIPs8qla2/r/7eYVQ EhuapGiRjQzVuQ2rLkqggRuhbvMzDnV1prYuCpXARDn1SN72eFy9pSzM56wE LmjAc0fy+/Dn4SNX68XwUDniUMeXJDR7/DZ+wgMxSOf7LH1/PQnTy/f+UOOL 4f26eGPNviRcO8bCv3uBEGypg3Z7d+Sh2+wFGlFjhGA15oWc8YR8DNkXGZr+ QwDDjcr61UQuVZxktG49wfMwGz1aZwHOeVMU5DKzGQ7tKTU6JJeDjroB8oUG zQRPXRw/K+Sg0GZpQkkMH66FaNTKBZehgnKJ++GPPOi75ba0axIT9TZvvlaW J4K8z9yEX7NT8MP/x1cL+LBUhiw2Z/wPj5vBQTf8vao4cwQ/tlxdqjCPm4m2 jLoBCU8ADiH6B8KisvH9toaJnCoBqK0P35CT/N99mEJwXxBb9+JFNspetMjP jeLCJdoW6X0COh5bfGtiEKMJ1JW+PN4WUI7b1s3xKLraBIWvPi+13F+Ot94s ctnwpgmsQhmTi/aU4xKacO0U8rzODZNc4cVydEwJ8vgS3ARD7YanXmaUY9BH hTxfz6cgzp71Jci8HJW9ZJeMqxOD50m2pfsyCt5eQX+r+UQME65Gvy2hZuDO 92w+b6wEXDLB9mhhBqa69N+oGSeB8cEZdyOJbBN/2UzcKoK+YDflvCoqPvYr ch1+KwKlDd/qTR5SUdc7voQnFMGrm4fLu3ZR0bdqeIbnfDF0nM74YqpIxVTP rs7F40RwfGWzq4MBDac+mcocJPk3Mf/E6ScJ2Xh2wduXsotE8Lz3LfN4ZTZu CmjIf17VMnK/2H/xyjh6f3nAGBrufDvrGI1O8POWStq4wGyMohyL1EvjQ1lw l49Ei4HKJi//jD/Ih9/b0hLuejH+931NDGq1qvuanf/yufQGb6ZpbgYa/j9f EMHSoWkWzb8yR/hW7TnPmVsKslE8YMeNqhbAosgQxasbSvH3RQPVSbf4kDD2 ttrqGjpay232CBTzwVn+0ZfnT+k4K0+1raOFD9ae3pLI9jL0+HjlgmkHHzRd bR2mzWNgjOk2o8ivPBhfU3aryZOJBUt3xa3YxgMZ5qspq0j+/6fvDJGxW+3H v/qVfhj9574j9X9845/vF1EvBTo0dBs9Y9pEwocUaVW2Gp/ScPxtwY1Zj5th CbPjjMbrNCywWZ7yMrEZnMNCZHiH03HGq5aB8pJm8NQ6/6HDIH3ke8bYhhU3 LdL/yuWSafEXCT++u/2enXlLM4TF7tD6rpKB3/e9Ki2uEcL+X4tWq16i4MO9 F5PaxELw7l699t55Cs4o1jPMvicEs875+84+oYx835SbMuRXPjFzRP6oP+fb gR2Z+CB9lcO3HsI3dg3XG8ZmYvBnTqzujBaI1Q8YP6CaO/K9T9usS0/7ZA6m rexyjx4WwKaHz86m5pfg/j1/mk+e/Nuv2id4cmepvQDOrTv/7nFK2Ui9YKXZ bZ7xpQyTr07MN7YSQM+EGJll8+lI9dHQdA3hweMS0RgDl7/ncb68i1PXuEPB o+bJhm8Jvp+2v3Z8ww8K7t329k2TbjNYT3n2c+p3ygg+yNjlfM0zyxz5Hrgg JFI825WGotYbKienC0f6a/93firF5AGukJThi8mZj0Tr/+1fQ60sGznv1du9 S25OTDm+4ZkcczjBG+FzG+RyU1jhPFB6wJTpryzHpmsdaju2tsA0o4qN/9R3 Rw3cbAqzW8BJ4K+4QJSD02QVd+681QIzhQNmx+tykJbibGdJnj+ct7v8cmgO vms5Z3YEWyBj7QxR/vmcv/8fGfEuK1E9ByuTNrKOnWuBSc2ZO1cW5oyc58i4 N91ZUpMwIvep186ce+SvvPa8R5uX0l85ukMl8f7t+BF+MD7Yzjot96+ctXFS 2wab+JHnfy2EcX/CU0bk1h2hw7/J/vvf856GKztbelNH5MzJr3j9F/7KrcPX 6xQnpY58rxz/hDZV0TpjRO7K+35TUSljpN4JCA5cctLxr1zwaynj4dSMkfGa +ROf3Kr/K9tZP9HbG/D3e+8vy1Dzb+2ZiEqyLMHYf/vpfLyROaL/h+ikD1mp mdgiCpyyu0rw937S/9UruhFPwzJM/so3lxumjqqljchNhpczJSU5I/X77oub cgunZaPLL7vH2k3/ngd6opI9op/zm6vm2X3ZI/aqBm4q6xvIwSFf1Xlbnv2v v9+bHJzuGfiz/zNv5H6H/+qRvQFbLVMCitHj9enNH6dwR+qV+vlGV6RCOCN/ r+yZnephuvavLGvbv+ZWAxuUnL9Zl85LQoVji0YZFLMhfIFvek9XIqpcOV77 KIYN0j+/985JSUS19MIQZ382+D/xM9u3KxE17vRsGDrAhsG4nzcTlRKxw0HN sayfDT4WM197P0lEr0eFKlevcsB4xc2s2O+JeOZ81OPLJznQWWgVo1WWiP7L zvgG7eLAVe3RIQVHEjGw13HB+dUcWB5X6bNsdiIeX6mSOPojBw59vGlq6ZKI 308zayeHcyBtmfjbsFcSnj1YVzd7IRe4pXbvNv0kfP359DcPtLmgtXppdC3h /2yHk7LOk7ng1TB59Ur3RDzdXK//cxwX6nYMvi7TSESOZHUbxYYL+iYJNfXF ifiuwoBWc5ILewSx9k9lEnF4h89ebXmy/w/cYt0wSMbowKYxhou5IIyRj1A6 kIQNKSmrtsziQchAoFg4MwlFvTuqg5R5sK7aap0KLxFfm0/A2zI8kA5VKtke kogDsQ8efvzKhdrtkhk3ViTieat9D8wW8GBMUOsVpQlJ+Cd95U1VCx7Epyv5 MwMT8eK3KQfe7OGB/n3LE7u/J+D9HQblxwa5cLY3favpsmSMSi5O2q7Eg0/S bgYTU5NwvnIEPUOGD2eTXYacfyXiqKIvisfI/sWSPi5wJPZJrHYdM33Lg5ke fsX2+xOx5FVV49hWHhzjh1y1VUnEoYC5lU3qfNAxPmf68Xki2tZVX3Iy5kOi 6bTEQLI+9Am7rHss+TBpLfP75IEE3JQ+JT9LzIPI6cuvcJ2S8aKNzdZ5vTx4 cUxeL78tCctlrn/JG8cH49oudohDEs575FNdNcgnfIfydopOEp427q6a9YYP wWsnnGwRJGJdxo67l8j+bNhx8ntMcCIqK9beefuEDxJfSaCtcSL2UwOX5wzz QZ2+bc9ZjST0VrYT2ioSfJZTGthL4qn/gt4JaR0BqLvxwjesJ/qastPv8/kg /bvAskgmGX0cx8aJyXxxRjPfP7mRhBphHduLSb5WFJyNHDIm63llyLNAQMa7 E/Uu8EUinrysGJpbJ4DgxwXmcpGJOCNkfmY2UwBHBI9TYlclYrnFiktc8v7M Ia5zN3mfojVs7zgogPCoGJDlJGLkr2qD1+OE8M3AYZYhib9zksDR/+wvbk80 Ru0YTcY3Wcg+c1cAlQ8enBknl4zT5jArdJ4KwLJ2lKgvLQl7KR20rAYh5EkP qvuqE/9tozqsviOEEwfuerQ0JOL+X4flm3OFsPRh4B1jn0RMyDN64JkohF+a luNuaiZim0qnRzJPCI7aMlltaklI/eJWf+qlELbIfT/8tCIRjz79pG09KAT4 +tGw1jYRlxaePj+P4OOi51395f0JqHnTw+lwghDWHKLOitqajEMarS4rC4QQ 5bT9jdGbJHxaYOkhf18Ib7b/Lmy6kITvl/cPv2U0Q2FG5qy4+Uk49KDRf2YW wXNB3hgOPxHHWFGHrWOawUWm7L2MP1lfnr9/cEgzVJvcebpyTiLOkpJLHnWn GXaoRr71I3hUs1nSd5LVDJot9yKLib2uCdlWXW3N0BP3YWk38efY197pNh+b oWL3jI5psokof70tYV5QM/SXNZ+ts03GZVuqF/rdagZ7avWT2aS+OSCXUd+Y 3Qz3YmjTgyOS0LgrXWVZbAt82WPlG0zw6VH3IRh3uQX41rX34tMT0f6NoYfo FOGzZqtHF21IxImTZO5vKmgByD/4qHaQzLe4tDv4XgvQdx+fZhCXiJNsnSdU cVpAd7yvR+zyRGxP7TQvPd0CQbfskpfNTEaTs0y76tAWsN2btmnSnSS8tv3q 4cbEFpiv9/bHa9skHJ6loh0bIobUUWH5qyOT0H3K1e3SaWS/23h66xQin0px vdLrJ4aDs9xD/vn/N36M5Y1Z18SwS3Jznh2xz9ug9+H+ARa0YPLHKVPT8fwF hsL0dhYEL1P6GNCThmG8s478WhY4fHz3uyknDW/NXp0Tns+CRZk1ihpuaZh2 atTg2mgWjN+dpH1sNuGjzic//rRuhFGWE3aabkzDva9ks9++Z8FlgzrvHqN0 DNFxqjZKYUFB5dFSWmI6bjo1atzkR2yg9B4rcVNOxyoxN/NNPhvW/+LEZXem oeGqdKyMYoOl2gPOhUQyX9rxZxG+bLAyKR2z2zYNlaTBb+8+NmzaTlm1WDEN y+M3qfdGsGF6Z91Fuk869t6IjY9M4sDPwxaDWZPTceKCTTLKgRzww5QHYV1p qFv/5/gtNw78KSiOrU9Iw7UHGG1TNnMgWK3Gc8z2NHT+5b4hYREHxl8WrjUf n4YvtKfsqHnMgR3h3/cp8NPQ/vyqQNcVXMiNHLetRy0d4dqv7AP6XDjR2dfX Tfj53ORq9j51LlxPa7HoJ+Mr5F/oc57Ehfy9lfGjtqTh4B2ctmcUF55opvZM kkrDqTu+Wxis4ULI5pSaXuKPz2cXvnjnwQXPd4krqHppmMV//mK+DBe2THtn s6EsHYM6r7jRyX5yeo/I25k8f23+IdMugu+HJ453sRekYYL3egUlaR68dtzf 0R+YhtR7c7pggAuuBZW7IxemYaHKEZXZBjyQkpy08R2TjhW8imUft/BASB1a I7RLw30bj989M54Hc6+cPrbwSDoaP29ROi/PB37HS/0XxN4m6tyNkl88cOxp Oyp4loaHDp8OWvKJB8pqvcHdV9JwlOHjysgOHjxZL5M4uCgNWfILm+IV+SDi bRwfT+JtudJ1Jbo+HxxNQsdak/XNUv1g27SeD+Pr/YaPjiH+WO1fUi7kwfHF +04qVaWjk12MVm0fD95orwkJI/XOyq8G0h49fAihKW/R+JKGz37dW9HXyofT tlfZlNg0vDhm6wlfFh8OScts1l1F1svYXUtdTgDrP+1ft+FpGhY5sYUrCf4v /eGT1kDidXHS7Qf77vPhLcAVt8p0LLFp7w2Q8OH63EMzC73S0WCClFZSPx9M 5CNL+/XI+gzVL05sEcC1gueu1kNpKDXodnLrI1JPXn42akt8Gir3jSkZzRBA y97W1I0r0tCxa53i+T4BPOim6/q/TMNi1Fb5NF4I9vuHHFe6p+GEnuVB+fkC GHNjjbY5Ix13Z7gGUWoF8OHia8kJMj9t142ghDYBCE5ev5m6MB3fhm244H9X CBvu6FG6W9NwZd/7l84E36fsDriw/0waXne4bmkWJ4TX3546daikoVFZv//O F0Lws0ulrniShu2BUalPvwrBsNxI2nRHGjLHb5W1SBWCQwSPwk5OxwG/373j mEK4IbfshqUzWf+PRWJWoxAeRyQH1GmmI9/o9cpTpF5f/rI86JN1Om6zeOu9 4QmpT6ZT7CRb0/F18cesf37/9f28SX14OnZ6pPbuf8OCDotjm6aFUlDblB3W /ZQFJ1a/12k5RMGD439oH7rNgtEmbr+jN1Awp0W36l06C24t6BJt16VgD9XW 1jOMBXN1nEsnjaNgqYo94/DWRjjTaPF1lh4F+ze7lVyf0AiDQc89tl2hoPfV JWF8Mj7Wex//LqKgSyjTZHc8C16/NPilq5OJzin7zsQ8ZkOY7xlFmzgKRiu2 f6EVsqE3o3HflFMUbAje5Vl5iw27WJqlrTYU/P2V/5p9jg3Vfd6j0hZS0PjI 1v2dhM/OndGw3UWBguMsPbXOrmmCR3Hbbj2UpiC9WuPmcjobCpU/KAzXUNBt Q2GNDMEjpykJd2rIfDs41LOKFzkQKyhMrfaiINgmG848yAHujZrgyi0UXNAe 3a27kQMTt4rcy+dRcJrL1URjIw5YTPywpYyMH2v1Mfn2Kg5cUPO85T0/EzWO jekQGHAhm3NqhnQABesGjxnO1eSCPe3mtrKdFDwSID5/VpELEy4WhuxfQEHF MWufsgj+VNk/qVSUoWDbqxcmPfO5ILrwWPtEEwUnHAmqfDaDB5TKU8F9xJ+L +QXp7RN5MNi/L+CXIwUdTEWX235ywdJg85nxxB9BlFFHW3u4kOi27KQKGS95 vXz4/tU80KuIXFhBnnd0iAvVIe8X31n8p+wVBV8ZP36WKs2HP8cqj6YFUnCV Suq6JSS/N07jhzzZTtaj71T+k+c8iHn4LqVfi4IzvD/LNOjwYZaGzHppFwr+ +TQxSbiB4If2ip33R1MQ/RPsgfDLuju75y03ycQVD8uspKT4sGixrsP4BgpW VskVd37mg9YxzmUasUcQG//5Rzsfrlw9LVW7g4IfTugsnELw4kOOhl+HJgX3 7lJIfDhWAM8ujldd6ktB+Sc3yj8QvDhQ6dCzey4F2WZ8h2+P+JB6qIU3Vz8T fZ+xDCYQvihna37PhkvBY/Kd9D8kX1Nv24bbXqPgJJNL7lH1ApjafK/V1JaC JU7z1efQBXDjyxz9WeoUtE+s1eroEQCTEhzSeJmCmZN2BQcSPrgwcLZ7lykF QzZ3l00qFYAds+Gh9bxMLOJ+BS5HAGqm29fHt1Bw+NPBiXESIRwzfuX+T7wV me1xdvklBMvi2CqNuxScXmcWXU/y/8YN7uj+sZkYeZaa0vG0GTIcK7de76bg umOdV9PEpN7d/zRQ+JLE47fv1kb3muHRr+06i4wy0X/dhvcxn1hgoVQiK1bN Qr/+91/YIhasZ6kXXBuk4lnK9e/SD1mwIfjqVvMWKp7evnjUyjwWWK763vut nIo+Ui3jvQhfsBp0iy6Ko2Lpc/Uti6waITIYcnUZVLyUO1HNb3IjnKov7V3w k4rPu7/2/uhmwX32ghuPV2fhn4am25cJPqg9jHjP98tC9ULqReUIFngzP6zr rMhClZAv016S+lS/29l0l3oWBgSy9uiVsMF6VpusKxnvTUAm5WQcG7yddklO SKi43c//ze3zbIiLF+QEVFCx6rTtAik3NlQKrc+Gx1DxpE37qDi1Jngd8/nI 2jtU9O9+53/xIRvG1XaJTBdn4etZlp81/NhgtKL/vtmtLHxnpLlkdToHaJ8T /Z5oZaGqpFX54SUOzL+sL5gwTEUIiv2y7jAH8mdW6W8m/jmib8Nt2MKBBfTN l66VUDFGKF+8eTEHiqyetXPCqUhnnln7KZkDzXK/bI3mZeGMnLeNe5dyofLA x/ZdU7NQzS5W4cNcLqzKvaH25gMVp8qs2352KheqPxvbna6h4uSyL9Ey47mA S0VRY+KpOKtg9dIfR7mwa2NG+x5iXx1taFSiJg9W+PaeUJychZJ7s8t0FXiw N/L47jmvqPhJYH2AOUz4SNYnM1MmFaXfn1M2J/mdf/eonnUIFXdbRwwsWc6D 24fdyhrI/Fu67XsEpJ5c/NS+rHFcFkaflK7Q+EL4SerP9DweFcW/C4MOP/vn ftDUyLAkKmpx1lRMmMuHoroqF/cuKm5LXVP1nOT/6Bwzpc/HsrA+71etWR8f XEKs4hWUslBe48GQDMnX1d/4bT8EVLS5GaTfQPJvqoeT5ptYKurODlv0XJrk x7K+th/SWThzkrV6jJ4AMlc+X5SfQPQVlujIEn7A4qtlvjqdhS832i6cyhJA QnPdilGdVAz0Ve8cT/KL4tb32CiRirZtO078khECLSyqJbuOii30D3ZbqwTw 5+eyWsuILHxwAvS0ST333OnoLhedLJw0NiI8ntRPwxGDfV1GWViwWnls/phm mHKL47hKNwuP3LixeKhLCJM1p1+KuJyFrSq+uuGbJeDYGpL3+DMVr/V1bO/z kIBqaJey6x8qpl+2umVwQwKa16dynxN/uenOufbHQgIGO0+dSz2UhfumZxgs +cyC8z/rOBHxNFz0KkhtjIQFMcCon+xHw9ElrmNaagjfDs58kOpIQ4Hf+i/Z BSyorY+6o7uahlSLec/OxLKgdWJQWYkGDe9vuv1wxqFG2D3JpOmjPA2PsWf4 Gq1qhC++Be86LWmovuXCQnOlRgjtnj2WH0xDpoPJz9NvWRBgpvxVfJeGcpGN qcFkvlWb8n98/UxDl9r9a28ks+DnznV/VHVycMO+ms5HJD/Tvqy+PCGdho/t nGMWkPy06ZUJXnuehhZbfmyMJvk59nPjBT8nGtaZx0r9IPl552OUf5kpDc1N F5fvI/l59MNu3/fTaBi2yHEPe0wTTB67kL9pFw0353SuvVTLhqrNCkPby2j4 7WyZ99NwNsixeHWLpHLQwO+G1/erHMgEfhI3lIaVznbdguMc2B5dYjn/AA03 mM+0K9pB6oHX1wcDV9JQqNtVH7qM5KPpUUqrKg0f3v29S/KIA6Pz+z0lXjRM UdBexbLhQOjb7PY2xRzUK74c32bMhY310l+somm4z99l7dnZhL87KMzY4EbD OCv8oKpC6oGP0yzWraBh0xT12NLRXCi5OPu4mRwNx026HmCixoOxTWcn7LlM w/Ojwpo+juHB8g86j9y303CwP1g9u48LRybyLvjMpGGaxs/v+oR/y//Cn2mn aOj/SfJy52selE9O8OteSkPjnQG8ZDM+aGZrzA9XI/oyFin90++D53B5Zl8r DU98+rWn7RMfsh2mH4oOp6FO2rsfGQKyny6WuDcBDQNDz2csmSiA+sU5FxjE 3oY75bYu5PcTTj3LpeVy0Ga3gDbqgwCOsD7WSN+n4c8QhyjD6UIIiNC+JlNE 9Bnydfj8TgDtRueMQhfn4Ndn/NKXCWLQKl92fifS8OOpoXQjdzGY7ZQxEjfQ sLl13NbzhB8m9iWG8hTzMPzQ8sdNPBY0a6htGt+fizDgvka9igWKm+LkoTkX By4mlHtms2DTmcncUxW5mCPPMqy6wYIrmdFRBQm5qFlcM/PIpkYoPD1mH688 F7+cOHL585xGiBqjHmb1PhdrFiv3+kgR/nhrSdlD9TysORsnHnhG6lUF70rt LXn4WTxksorM5+W6QXLyXB7OXGEfHZzIAufKGd8e5Oahv13nwWwSb+/7tN63 z8jDgTLdIkVSvx7ij3mq9iMXPSed+OpH6tfu0nd0O3EudnvcXvOK1K/7bzbF RxN9nBqkrljvZ0PHidIA7q1cPNO0sGHPvCa48TbNsygvF+u0ta+q97Kh3clX 59NQLkZP1FNtrGTDkhM/jOeZ5WHz7Ij9h0l81x1udk4IzsOpqz4VjXNgw06X krAJj/PQSzvcZDiKA0sne9RtnpyHmyamjR8+xYGV/neX+n7MxTkD9Laf9hww ezkxN+tRLv5ubyj6uZID6zc6zeCn5OJyC5+BSS0ckDgdbTvRmYuZukGabF8O JMy4VjPHOQ9vOV7oe0vi3bz2zISNU/LwtO41pr02FzrGqTyUe52L9v2JZxsI 3/TdXHTmKTMXjdc8uneF7E8zHy/sDA7NQ3FAZG/pNB58Gbqu+3RcHtbto3R/ G80D712FlnPYuVhizhTDRy4MlDcePneD6CPZ4hBI+NwaJd0NmaPyyHoufqD8 iuwv4dqzNhF/mt55vcLZnA8D4z5jdFwu3lQw4tQ/48PJ2ad/XOnIxQnpkggn QwEsDFB+JxWTi+urVwgudPNhTvWh9Z178/BU6tNbLwYEsGqcx3JwyMMFH5g6 NDkhtGt03BxvR+KhNl3pLq8Znm03UbG9kIfe+xsij/SQeqJmj5piQgFmc5bN 1WhhweZ5Wbu55wpQspJWxXvAgrJrHxJuOBegXO6UHSH5LJjWb9y6zawA10y5 /G45wd8L9uemK+kU4K/JQn0pj0awHM7buFmhAGvO1KyZS/jR7PObtJ6sKsAr kpLtm3Ub4fefniELjwLcsjLN1WtMI7QGRnBqyPzKTzuiz79iwbmad8rURwWY v3/Pq5LHhG/t63T/8rkA1w20LX1JY8HU38LqNdML8dllh9DJpJ56lcRSjVhX iPYGM43MKtig5yGML7tWgFVxaheup7IhpuMXo57MN2v01KdtIWwYZaPLa7cq wEueqprzj7LB89G2j190C7DM5bVKhEkTdCw5//X4jAJMz/Tnb5NpgrLfQa8n 7i3AyJfKNycL2HCl4UoLjULsd48cUKexIXKau5JsJ9EvJyesh9RX0Ul25x2J fgp3OXWr4zjge+ukn1RqAUa/fHVvFok/BS/qvSyfApwm96tc2pHgubVIatOm AkxZolrymtRDyw0mrOvVKsCFb1SWbZBwwL2TyXyxpwD3denFloVzQPX559LG JwX4qLSfEWrBgTpTqzH18wpRbMWdF27CBXVawL60lALc88bZ15vEc6BjZ+mi wwXYdenjE6dJXHg1yUy6bkkB3o8t8W+Zx4Vv5+q7m9uI/bJ7Hhdq8GCG1PNu taQCLPx2tOoSwW//tWfk/9gWYM6b82WOH7jQfklhabdiAd4pkLEVEj4V4cp4 prWhENkivQ0TCf85eOg67bFTATY6zLLSEPHgwh0h+755Ia7Xb/8x84oITAo/ 7yhJL0C1LsgYc0kEURZLzuytLkDBpfrhUgsxTHfQeLdhfgF+mqaVpBsrBqvj fju2bCvAma84Cr0vWRAsZeeYrVSME9O8uj5xWBAe2vqpaaAIf9hPKf94hwVR inuDBkVF+E65MuwDlQUJ8S8nq98tQjF7z56eSBZkzHLPXZdahHtfqzvL72oE 392jJREFReg27/6RO8saYdWc91FR5P2jR/adOTitEf708jbHjy7GUwWjLil9 J/yj6s7YVINitNHxm2DTzgLaB4XKabbFaNoqU5V4nwXLOu+ZhPoXo/aNyKMv KSyo53mWDmUSfddP11xwmQW76mYYHGosRr0fioMOBA81LU7N4KoW43PfthK3 DDZoR4TNu9pXhLHfszy9QtmgI0gxWc8tws2+J+adP84G3ella0cVFeFOzemi uYub4PPO4BmDlCL0bkml2hA+saR2yrqQ50UYfW2213kxG3wX5XlO1ijGlDWB JnuK2TBedF7rpl0xSh/6qB9+hQ2cT7ZdZteK0T1yt3bFXpIvYw0y+2qL0VZP 6rl6LIfUQxevbtMsRtexIRURpzlw94197df+IvTqko38accBo82LfiY3FGFg 9XW3I4RvZJbIGpunFOF+65KLDVwOjHr+KPvQhyLsnpLtnfX/fx9zTti9qRi7 I6tGnSX1Q66/eldVejEO//afcXsZFyLVHc3OzC3Gxp4hiCHxu3y1Qfdh8n6i 2MvVS54LXU5/LjuVFeG4n/Tvowl+x7tRXtxfW4xeFyewKwn/3/aeM0WX+O9w /bNB514uJO00mv6IrPfKxx/maWnwQTB+sKjCvhjTci5b6l9phnGz57yen0/i ZcGd1TbdzRDxeHmqRWkRtlhvdD98sQVWhXqu6BQWIVVbUff1AREcrTXMV31Q hDHhalm7wkQgu9tPO39+MbLTVn/tOioCR2Zb+9jzxbisC1c+WCOG+ZsXxCom FOGBH/6MBXvFIOdHu6RB9Ft0Mjc+2EQCJ9a4nP9K4lPj0q/+99sl8DF0eud3 2WJMrx7NGE/w0KCXGT+qsQSX3T0VsZLLgkLqwel3qkqQU/HW9dhdFhjunpx8 oqgEDzIcV2cQPlEk/0h9XnoJDpdwJgtvssCoxiet82YJCpuNN/fYNEJG4oqc 8MQSXG8wNf+ASSOsUZyuxSfvV1z6Ids6tRHaQn4kqNWW4Pz2Z+7bf7Dg7M9W 5f2iEpzRfXb6nw4W9MD9otnvyfyjqR+balmwhv00/OlwCQZpPX2QnMOCm/bP 3c5NKkUT/BHtcY0F3d29a3W1S/HWrfXcjkY2lH/1im0n40nPuTXhYhkbJoaZ /zzxuAS9mC/WaSWwYd8M1X1jmCX4wsLoQs0FNjAKu+sSMkvQusX/jgvhz7LI nG8YVYKnQmMyd2o2wdsfcnnCtBJco8eK3DTIhkVnCpilxD9SVVldHmQ+mcz6 HV6SEnxtFZbLzmLDKvrSGxv6S7BJ5HnC4CIbfGqz2DPlS5F+cNuy64R/FApU ZfvmlmLL4ZjEiAgOOPvlLrnEKsEMfvlxFQ8OzBCUrgill6DnSvG6RCsOiPQr 10Qkl2DKlSe6W39zIPpWQvLe+BK8LWG8XnSXA0mR8x19iH3dlUeOngvgQOxw xlZhbwm6TjFzXGPOgShqzTXetFJULWn9aryCC9Ki77/LWkrQTuYGzViLC6Ft k5XvEX/E21vYG8tyQeH5ojn1t0pQ3dD7CJ3ki4eCSG1Pewnm3JwRvUSG5Iv1 yR+qs0vRMVvGdZY2D27ubjit01yCMxWjdsn8JPxlde+o48Rfiac7ux3VeSDS VaEc6ipBlqlFupAuhGvKu4tNykvwOZOSx4lpBqOs3e9m5pfgfZlvyZ86m6Fc xSNuKomvsXuskiYfboEDqg5bhVfJ/IX2txsut8B1z764FEYJtp15pTPaRgTr p674aBFegr6HD/GsPESQtVHR41dBCU51fBdwk+C/zPk3bxlPS5Bbf0DebpMY 8nFn4Jp/1rNv/CTafjFsGz1vVve9Ekw61N/UdkAMb7UPP/f+UoK1akFccz0J fA6pNvwaWYKfl+A7rzUSmDVt/swiou+Mbb9HUWwksD0vWtatvgS1BD1hfvES 8F5hxioKK8Eq36APE1ZLwHLpMzMcV4rnQkLPnf7IAtvSO73LlcuwcG4xtV7M AgaYm4+RKcOO+uamaXUsUOGwY3iDpah4ePjr4WLCr53s3qa8KUWzCbNn3SX8 mve+0/SIpBS9862s5AjeL/Q9fG1pYymqV3dsc3ZohHHXx39sbSnFZaxVp9TX EL7UKrI1e1+K21sSE9q1GiFsLq2a9qsUPbq+3Usi/IjldVpXQakM2wuoL8Le k/HmjA+mzi7Dq7faPM8QPHgvsbxw1aQMTf2Vv7mWsyDretg5rw1l+M7FKtiG 1K97zVlndu8uw997KpZeJPxoxeWjt7dMLMMdLtvvhaawwfibmrnv91LMde8x vxnMhgVHHjdRiT2/j4awEg6zYW67lz23meSvaVPUfZ0m2OXVMjH8WSl2VRcG uw2z4ULDA6815H0j8+s+8kI20DTyJX2qZShJmjlJiew3LYrGlvaGZcjymWjB I3y/l6ZnsoroV7nlh99Nks8TQFt71r4y1LwWcyAokQPWaCa6MrkMS6qPhQWT /ea5cnkgd5j4t3dDySVSr558pbdArbsU+VpaohBDsr/cTmvZT/wbXqTo1d7M gam7LtGiyPp89DHV7CL7l+gC8zt3Vhn6TZ91IciZA2vj2w9cJvO/zY830FpO +P5Vm920KWUIt5N/ds3gguLPJqOOz6Wo/Pmx7bkTXDizIbaO+7QURao/ztos 5cLb3dZBxZpl2HK3b2UByTflh+f3dLiU4cNr6WfbUoWw/wh9uLm1FDPPTXzs VS2EkqiBJcvHlqGl/1Cz+6VmSC6yW54tLMXqzXwNn5RmuFQYXT9hqBSXqBce ulDeDJ4FXLvjamVozm+N2vukGSaZJqpflCrDGi01cyfvFmA8ki10bivFjT+O MKNCWyB9k/vai99Kkcev0n2S0gIRvMeiDOK/OQqVyeWPWmD6uKEIV7KeC1qK rLx2i+Dm1oSY92Q93RSow7M9RRC/8MO9WGJv2vqE4ubzIkhThtdrZcsw5rb0 OB9nEZTlXaUq7ipD/kde3IxVYpDum3Gxhvj7mJHGH+ktYniWeCbnR1cpTjh5 xO3DHjFUmAu4i3+UYnZZeZPwmBhufjD8foTE74RGDavl0WJ4znKOPdNbikG3 xNSVZmLQOVOhNml/GXZGRI/3M5DAxiPfJzQR/QJxnpIcyc8Vs7rGGvWUovZA lVrqZgnMb2GNvkn8UUfbrr3QSQLTIui/+4i975c1vTE7IoHFT0E3dkIZbmnW NeIaSuD4sQPBy53KsOp8l2sZqc/vfnozvdSajscNHY7JC1hgP+eiySUzOs7u 4J1xr2bBoOO0bbuM6dhyzSqwNpfwyaiSI3pz6Bi++mG4RgzZT59YhvyaQsc/ 06uf9B9phAft/oGv5Oj4a2VAVbx1IzyPLNIo0qTjsNOq4tVLGkHK/Pnd04vp +CPgZ0YX4ZNaX5V2gwUdv6dW3rryiwVmueZfx9nTcVz8zj+vCb8t15Q8TD9M x4AKUWoWiwV1HS8MvvnRsb/FYY1rKQv4Ke8TrCPo6P712TPteBZ0OvWPoaXQ 8e4kR1R7wgbbA8fZXDJeS0P74I4iNix7tk/m+Ho6fgl0zr8ezQY1e5tV8kvo KL/y+b4nZ9nwk2/uk69Fx3kD+6fIOJN6fotJgdUkOu7ZQjMQr24CCT/Ftkqe joYHVHJ3TWkCw0vZcu3ziP2nL+iIPrEh2KS49qc5Hbcbjst5Wc8G/cLfmZXO dNys8FV/L5UNx62tB9TP0HH9p+7iVrLfMr6krQuMpKMZR2Bst4cN36J7b3XT 6Pi+t0njTTIHNq/3s0ok+lt1rRMHk3p/hR89+/pqOuYI7t6ctZUDc4s+SAdr 01E3y2C2Uyup5xPCb7wj6zVhh1vkoiQOeG8VyFjtpeMStw3fx7hwIKjyQllr CB1PiS7oDi7kgu1FhfyVW+kYtiD99wvCJ/VFq/IVNejoYT48t+Ag2W/fzs6Y MouOHxfZZNUs4ILBWIumNcfouGZ8J3v8QwG8tfFgKRqQeOky37WnQwCuXneM 7W3p+EjtyJBKshBOXlyQ4DWNjm4ajq0xZUJwSnG1d1xGx7GzN9+b+kQIlpXJ U9fZ0fHGmlnhc843Q6ato44f8W9WkKn76xvNULPBWWulLh0rH+9cT8tshhcr 9msMIx2fTjiu407wQWqB64x7DnTcsD6lofNeM+xsygi6vZ2OHaPP0665twB3 eMf4QTLerx7Xp5/OtoDt+BIfbx06zmzeNGQd1gKtKnIvvpjScVX1Ys3ShBbY q+m+5QR53+n5mq1NjmS/bnx75NZ0Ot5a6v8z/IgIfttpPeYb0pEdcSfH0lcE 5V27tZTIesu8/Go7NlQEx45F+VvvoqNaw5V1TUkiaPNsD1izjo5aNcrbvhO8 2PjGmr5PgY7pJW/XBm8UQwavzecb8e+stGoTeXsxfLt7aOkNsn5p127Nizso Buvs/iFdEq+a/kdmaHmLIfvGhTv3STyo6KddcA4QQ3nEKGMyJGYFFk80Jvgh cHJPC6XQsS/VZT6H8AFBjE5ipAodXRjnPnssk8Cj8RfGvCT2C59EM2XXSaDi nOTE0qV0tOjMP0fbJoHcT8btYRvoWD5Qa2axRwLJ+69veEbme5B1cUAtWgIu qnr5H8h4ptNqeekHJaBw6bPtXhuSz71LGofI+MIZUo9UbtJxdI+tNZ3gC+Xo fS/Nmwx0WzjpoQzBF+4H9aGeIAayTjUstiP48tvD/9xtHwYa3Q2k0gi+LOhp /XPJjYHRUiunfL/FAocjKy5tt2dgxjW7oxfcCX5YeBSN3sbA1/yh0HtbGiHn xGitAwcYqD8tgfpzcSNsS06IfkjGO7HH9MEKgi/f6heO1brCQCalre0MwZe0 /vqzFxMY2DexKdmjmwWqC30O0/MY+OtbW3J1Iwv29d7sp95l4PjX75OV6Cwo KCkOiGUzUEXwPdmV8JnvJ5rGhT5j4IuEWxNeED59TDt1rW4yA3+4bjs0qYTg x4DpcvkwBiovlKtbfYsNV+pFBv2niH4/62d5EnxRTfSZLSH6mj8ODkh0YkO6 p5LafWsGFip0VsaZNUHbUyuDuH/uK1W3WWY6vQmmfrZoSz1E/KH/iN7ex4Yd CmvDson/6pdOOppB5ucXvWHEpjCw60Pz7K05bJgqP261mEnsoSS3/rjEBieP uY/UOAycttvlJm0/GzKeWGxxfM1AD+bzo3Ouc0DKWknpdSQZn+N0R/kAwRN1 BQnlJAPvvhHLSC0l+NMzIWPvDgZSM2yvLxn/FM7+UAppt2Xg+nvWzNjHpN69 Xl38nuiTHhDxwz2UAys/z76cXMhAiyv+754RfJpp4H1Vs5noN9NxXhpTABV2 Vqv5zgw8Lr2peEKjAGr1GipW+TPw5zvTpaefC4D7e/1iGlmfkwOK7ZPThdC8 PWH+/r0M5A4s0HcvFcK0pXtq9M4wcOGgpV9ljRAcp2s5Dlxn4NJwz1s//Jth eL7+5i1bGCg/tyW97SrhC32PTav2M7D7IRRWJTaDduWB+fqnGVi5J/dOSm4z mAT9npoYzsCpoZ/SfqY2w3RG0tGoe+T5HV9cvI+3gN+VxpQ2En/2O3Sqmf4t 4LGQJafkwUC2za5p3wh+OEoazq0PYKCZTbiXaVwLbA6qf3+O+PPOgU36NcEt IDjKWCmoY+BVZK6VdRKBt2zBmZ1ODOSZls/WcRfB3C8btQY8yfwmFTLgIwKJ +B0rmoy3x+j2q90XRXD1QaiPMbEv0sty2fU6Efjq7L7LIPaF3xzWvhYkgsL4 BrvdOQwctmX7SK0Ug/rxcDU18rtKlVTS6vViuFG33TyUzKenbfLQbzvhK9PV jg4R/c1CD7+pcBLD6ePPY93OMXDXpxT5wUOknqijPWgm/ji2k2+8mOCN4/Tj 79clMtC/bPFSZoEY6qVqXG1I/s0V99xo9hfDL3X9r4pRJB5dhFtaSb1SLX1e xpasdxSL98BxjgR2gIVLENGnf0llY4+RBN5NRIE00WdnGqXlnKkELohNzUOO MJAhe/XFRAsJTMkyoY/1ZeBkH+8PSdYSKDi5cHYoyd9THY5D+g4SMF+jHy0b y8Ddm9q62mIkoDhX6/ON7cQ/htNk/U5IwGpeteabSwwUdgYcfLxRAuMfTqcU 3mZgktPRpEYdCaxRWNHa/IGBMT3nDDo+sOC4y8BFtRYmPmc5rVAh9U2Ny6UQ fj0T9fNWW1iSen6yq2r41TtMPB2msT2giAXurtTr6/KZ+ND9j1NZAuFPrkui fyUzUd7yufubSyyQP1gXV36dibruf/b/c/+ip9YJ7rN/7kcc7SLatKMRVGwn r/iTxsS3yY83dy9vhMrQyoxZZUy0WqZX46/RCAeq9k5YW8fEXN61ZZNlGkG2 V8bbheg3OY8d9oLUO79v658pfcNEJXVubhyfBWUOUl+cv5H5bwiebKlkgduw 8IicbDnKSoveSVNYoJaa231HrRzHnm6VrQxjQROcdz6kV45nDfvthqvYkPpi lJSjgIlBaVvu8tPYEDFj+uOd95kYoZijmRvEBj/bxRFbib0xgaMvXTjIBvfI jTaWcUx0mRWvJzJsghcnlxq8SmTiI8e4Gf1jm+BlSeZqq3ImzouLlZvUyYbu z4pbC3lMzEjz4frdYUOm9s/ffj1MXOHjrN4aQ/DPuL/oi3Q58i0tj6zwYkPK uh5n95nlGHpcS8EkjgPBhkXhESIm7guY/szVlQPXtC5dzmEwcflVlYJbizgQ p+oQVHeTjEe9EGEh4UCi5lvLSxVMzG58t8kmhgO3pdVyFrxmYt6lIJlMew58 PCjuEk0qx9ZDQvcrc3gQm/bw3JVOJl66OGUwXsAHXavl4yyJvZ6Dx423veND 7egG/+lPmHji0ve68goBXJLXC9TMZOLGt81WHg2E73ztcFesZOLszWUcTYkA 1nVGbxtF7N112YRxLkEI889Oa7pH/BXHYuj60ISw49MS6495TGxRWJLkyRRC gOt23sxqJk7ZQVc4WCuE7NajOzaT97uXtx8vI3xonO42xanEPrdXJzL7w5vB SLrcoSeDxM/NMaIlcc2wq3NG1n0SPx5rEiecJvzowt3Az9G1TPz03nBNRXEz 0OLerHAXMrFmKHaYergF5D6JFLdFMdHm6gbTOz4tUHb3qdwVMl6XxrczTRda wD6sfnx1CRO9ynKYL8JbCN+5LzNI4kF6/e7+wZgWoOpUSC14ysSODaWdz9LI eIWUuTTiP9VI6vJ520Vw+r1OMI/Ev1nPsN5+wp+uHvDZ1Uby49gGW/XEgyJI b63Vf0XsT8osnCQ4LgKmjYrU59tMbPgzZrScnwgaWQeE3x4zcdDReWDdJRE8 X1uWM7qZ2Gce+eRiMeFfi4zpEwuYaFEW8Cf1tAheflm7fv4PJi6i/vhsRvjP TKqmugbx9waqX4KA8CtT/1NL11KZuIf6Y+3BnWKw39lo7VbKRG+q34evpD47 vUDrcDjxfxj1R0wowb8YmTNBRY1MTKP6wfSTYqC3s5P4Yia2ye9Y0lckBhnN 58sLiX0r9I0Ez0PE8Plry1wVghcOo5eMfuEoBrMX6y4/kCrHqLXjI9N0JbDU YZS9HPH3hMxlQwULJaD13pXnl0ryTfrQ3soVEpDza9j4jvjjh0tsff1aCQzJ LqjbReLXq+6RUfMmCXQlRK5+TNbzvc5gXNdOCTTN7y9fwmXigRAdqV7Czyru 2C3MbGfiTZulBYHBEigKpOUuJv4pU1T2MXKRgCv7eVQM0b/y0wQZfTL+97jv ph/HlGPkcdmN9V9Z0NPutc1WowJf7rsS0PSCBZZG5/U+TarAZTZjSgVsFmQF hslcGVWBV82DuyUVLBgtvNWh2V+OnUtGTXtO8GXv3PTbt7vLcfHcC5teX2NB 1dn8qO0t5aiiEbPNfm8jPOXb/5krKUeN+Ss2T7ZoBLWpxTuMespRb8mzDXy9 RnB1HJOz7Fc5mkCgeaRiIxSlOQ4DmV8wz+3oBaKfzuGpC+ZoVeBazopNxztY wDiqIJW/qAJLveXn733MgnVeY4QL11bgLLUXY60JPgtPD9PKbSowsprRvSaW Ba7n+s+tcqnAYt/O0csq2GCva7qNr1iBS5d7rtoVz4arO6qXp/0sx3tfv506 48uG+xfWanm+Lsd1zJDiOAc29OU/ll3BK0ftb9fdnfWbwPyOvC6zoxxfv/I6 tW50E+SIgqU+/SjHPIFdkJ6EDfJfv0vmTiX+jDR7YEtnwx/NDvEsou+VNrbF u+tsOBO149TsjRWop2vf6H+EDZ9lnijNJfp5Mh4eVejkgcLDU0PWZPzO9oOb Jg3xoPViC239n3J8uO3gK74KH26/jdQImlaBKY1ljHUNfKh+4tY691k5yqce 6Fwi4cOCjjEFhwfKMeCE8oQ57/mQ0EcNKJhI/PnK8/4HNQGwNvcO/P5Sjs62 yfXtZQKwMJZJeknejyoslz75QABjtTj+Yb3l+HgMD8ZwBFCvEO9sJF2BP/b0 nPvn/1VDh/dj8+QKHK0kpRpI8O3DuW2vFpP1vb8zZ552lhC8nq7ZpP+uHM/F b1tdWyKEb9oGpbO/l+Py9m/bXauEcP70jKkzZStwQDPDbUyDEKRZsgGqahVY H+2tsz6oGQKK27ceExF/Lqk8R4loBk7KmeqcV+V4rVlK8Du2GTQjlA1fkvg7 cXqDnmNGM5z0K0xRH12BNlOvB1bkk3rR3VLenqyvyW2hWIXUh6q7XvpHkfgW e1xbfu8hqR/b9DrKyO/trw3O1RJ+FxDkMX5OezleUHn4faUv4XsXqm/OJfpr 486zjKAWOOOvNGPe13J85Pnm64KIFvDxdaXOJ/5wT/A7lUXw8OTpCgN9Mp7c Y/kBdYKHR70nVCxQr8B3o1U6dha3wA6Zemkx8f/UxAOKSQQf9dcd6m3nkv0n dlnVEQcRhPZxM76S+VOi5dxNXUTwKt10hyKZf9+NFyoTPEWw1poqozdYjrOv ld+XEH6Y/ku+3Jzk4+uwqx65ASL4lX/m0B75Csy9vG+q72URODq8mHaG+FM0 WDtwjioCT6WwVUnD5fji4ODp4hMikJJXeHDPvAJ3qz55PpnUoxU39wSdJPG9 rU1trss6MQxYd2iKiT4bKEc8SjaLYZHC3ntr3pbjmsN3S34R/DzG7nTIIv43 WSj3dSPBz/zwfd8mkvhcMOS0Mp7Uq28sX8R4TahAnerCi6+OikFn3AFjCYkX 3uLftkm3xNAwcKxtPYnPUvukoITjYvA5uNFATbcCC9W+jlW2EkNT8Ljk0U4k XnfmzGz2l8Cv93pHzluSfHrm1+dwSQK72lLnCEh+z7lZVNf5TQyUzBh5/ugE /Fm5fqpwsgRKrSyHDxM5SK760O8BMUxvrWusL0/AO+b0mOgxErgap7izxDEB rfcuVSnWFoGPpVSW1q8UZGxvHlq2TgRu1tHDzj9S8H07SBXMFMFCOfuEJEEq lrxN+UpbKALpXrN64cFUFDkdmdUsTex5tsvMVzkdzaQLN7+bJoYPyde95pWm oe5yt21VcmJYrMq6c2VNGvrlXKJbLyN8Wibog7FqOh4Oln/L1CL7UdO0+vvk +WvtstdO2LSAd2tO//aGDJxy6VrGpj0tUOPrx2LVZ6D43Our+w82w9qOxQnM E1TU8l2ZxzkshPqxeqfDpuXiTIWJqQ8vCmHCAmfHOVNzcZLF/d6fZwWQ3PdV L7UnH2ebK+39PVUEAeWzfVckUtBMqLxIZrEIWPMqVj2woWDYYVBYP10Ele9f 5MpOpGDAjfQIkbUIRBc1XuulUvDKnWuLvZaIwDBITfcDeX5v0v22t/ot4O50 clK2dhaez35+zsOiBWbNnFim1UDF7fdUQsY5CmHNljfhack0zPzsMfXjQSGU plwevKtPwxlv7XM+XxVCuq/godYtGsqJTyknF/EgeFDNxMGBidYKLWP5V5+C dirXdpLm3/v2btwYL5S5RsOsG0FfOz48gVDHp13MnfGo2Jr5bXXzE1g380HV zqL4kf6Qz7/6LMzblD4iG+6VOTfb/G8/wF/14nfsDsqIfL5kTkpgfeZI/91v 7WvMOZg90t8mry8sVT48ZUS+K3axm6v197xrQoTzkAbZj7pkPOL14yT/31/k rjHRPyftzipGCwyfn1ihQ+bPt2Na5ZeQ+pFrcDU4OAMDPhha3GE1Q7SK1cHz ZP6L79PrWURutDj0XnYaFbfVCHMVHjTD0+DGO3uJ/F//XcPQwVnGO7Jxvqth 1vJOIQzvMEvYvz4bg6Ovyk17Q+plqeoLTgVE/2dDq15xhGBT0ZNeXZT9v/PD fBCkXDk0yrsM9y8+aLg4mTdyfvTf8+U8CFQ7wX3DZ4zcL6nAW9ioZsTEQheD Le/e/nvft83k/+6f5sG6cTJj641I/TlbdV0aia/7tke7TI2pWBjaFj44TwQF mYyx/p+oONFDo2mMmggWjKvwPxVOxRNnKupLQAR2mSjOHaBiwrLolUUKLZDZ nvtsqUIGsiLfbvOe3AJXZmiolm7KQCabFqY5rxls2h5yrogykTZvcKHcuL/9 hf7tDyCAgmMbomsLSkfu25xhU7OJFs9ASvumHooL///7FyT5MDD/gdFmoT7/ 3/6pmxn4/8d5ibxxmD7PichXVN+56nDFQEt+Z5iUlYGK12YcHmCLIWTFxKBW 5wzUcxjd9fGNGBJmrxrozcnAOXKe1PmfRHD40OiybCkqGsTcfpT5h+wXJbN9 3DKysf+PmesOZRGEZ/jcvpH3t5/gnEQXJ6kzpZi5opliXPnv+WPZ7aUj/ZL/ TPMubxykY6sz253e/G9/om4BfaRfZPbMU2/b3OP/9j+tvym7TPWvrONdpBd1 P24kHyg3J65a25QwIq/eY/vno89fWTwvrSZh5l/Ze+BtiEXd3/Pfr5bLNUzd nTwiz7Op7AkaShqRPTzcJ32K+SsXX5pivHtJErolyxvmPBaN9LP6L38iMuPt /W4njMgbBRdWMZz+nk+3+dDmur0pdUSeNurRn/i9f8+T73qUP/VxYfqI3D19 Q1zi0b+y14muKccN0v/Xb0AErY1O7aWrMkf8s5F1R6osk4KDJ4aX1lz+t7/b 0l7KyO/iP2x1YXQmCo69yXX1FY2cH//vPHpzm8zNxHd/z5/3Xb50sUc+c0T+ PX9jjmY5BXsu3JUeZ/JvvxidPxkj/Z+rCvJh7r2/ctrvMeuLvP/KLe2x7x7a UUbkxU1Jn1aOo4z4Q0YtMHnxTupIPN0VvVQb70UbkQdXFyyplf0reye39RZs ysUzWf136CcEI+fN/9OXM9SY3/GOhmEnMi6u8JOM9J8zVeXNn3pSMvL8f/1/ 5oZVfCqZlYuWXwwrzt/ljfRTmMWQR8lF7r/n6Y+UjfTbOTzz6aQdCWXYfLA0 ycj36Qj+FOgvWhux6K88e+7OyqC0ppHz68q69Ie/Tv6VR89TfnJ23V95bHjt 6RxWI6So1U3dcDwe1QqtBMtLG6FUpnvXkfnxuID71OhJXCM8+iwdf+1lHK7p t43Yfb4RWltni0tS4nBPMrOuS8QGqsZOqZ9R8fhlV+cwd2ETaDi5VmjVJeAy pUgty6lN0HZhHONPQAIGsNasv/+LDQmZeSXPliVgTfCnI0u72WBXv6Xw7pd4 zPNoFRax2JDTskI3Jf//KLryeCi/Lh5FaFNpsSWKklBR1jpHKEoqoQWJfgmR iChbVFKipLKMYVZbWSJElnbNjDGrPS1KJdlSkq33ef98PnOfe88595zv8sfM pGHMSXXLzQ8bQSXx7UrmiTQ8dNz74ZPURrhlGa1UqJaG+u7FatujGmHWuLpC eXsqznYZTXzzXyOElbycV5uSim+Dfj3/SuOChfGFpdQLaaj3XbJt/zUuVKfc NHAxTMOLHgv7nwRwwWCQsW/JQCoK29QktZy58GBXtT8vNxVPPO7YPvsfF4L2 LD5g2JeKu50z/VnpXKBb/ddgLUHEX6ot2s9sgsit+psdmWm4En6+e9LfBKNy t4cD3qVijUSk2anZPDA/vdHiD5vIf2dy9gni8/2Z+9OjLqXjtkTmzGOiJvBi Bw5LmafjP2HVySNVTRAxlmyb+CsNf2YvX344uwk0D9cErCxMw7iBWxoZV5rg z+wskY9XGiptldXtPNUErIpoozKiHoUJMUYqDk1AOuFBmmxLRYuOvxZuxk3g p2D5z/p2Kp7Jk1VZ9ZALocFbrVNWk1DjYNjk2VQuyATnr5F5l4Fiqa9vX0Zy If3sErnI1AyMe+RUu+Q/Lqw7G/NjeF8Gmhx/SfbaxYUnQf1NXnIZKHqoSX6z vAlq756vBItMnLmeyu2c5kJ5leT6OeMk3JSjMj3wmQuFXQmUllISeq5M05Pk cCFHYskS2ikS3rQ9lrcuiAfn9vu12vmnYaqC+gzTQzxQrNz/ZJ5WGma//3jQ dhsPalSMspuIeuYU0IoPreaBe6zKpZupqUhxeinufckDB4yytF2Uhqc6tvdX Eus7n4UqdMWm43TJR93XV3nwNMqMt7mauB/7TbKPd/LhlfWm2s8E/s+qO9Ki 50nMW08140prKk6RbO6q+vDhndKuZ74P03GHea1ckwsfDs+Ium3nnY433268 GGXPB3HPw+N6aunYHpHzW8+CD3s5PYbyLWnYeuOrwpQBH3yHFcbuJKYh6ULM 1DctPjyNvnGk1joN3b2Vv4gV+bB0/qzanqlUXOVc3vR0Lh/8MsPV5lek4ul7 i6bGdHkgpUcdrDDIxKqly5xPXOeB5kNae9dmEgYLdsY8PcMDieWx96x/ZGBY Omf7UWeiPuvoF5voGRjusXfWpBkPQre+9D3okoHR2qJX6eo82LSvx/HDogw0 1l5nFDHKgwPHA1/fccnEgMdxs3M6eaCT2b7t/cJMZO781Mp7yoOZzRaV2m9I +LYF8v4yiXrOK9APjiLhIq/MsFWE3izbsSivjuAjp1Tt+ZI5fFiuctd1XiSB H0HXrflpfOD22DBuE/P11q4vIiuBD7HFk33LfhD3tcbukV8UH4zOlxiQ6cR8 Rv699vQpH6z+xG7ucUhDk38/5JLb+NB7WFtVgZ+K9zWPCTUS+fBrwZ4Dp0+n 4+x5A16L8vjAv3n5VWhHGmry1g1KGwigL78zUMozDZfOcrvZbyMA0jt3x8pe Ag9MbuqLjwrAbvHnLT6BqZg7J22rkoMAVtX7sq7dT8cjUj0eYVYCeH3XwS/3 WDrO+7cxrmWLAHz8TBe8WpKOT8eiCgy1BTDHUqO0m52GtvQUlzfKAhDKZEVq xaThdNlmauh8AShfe8+SME7DRy9bv2hJCOC4rPrSLgJPfJrPr28Z4cODa56e j5mpeGiTws2Oc3x48aHYsORUJqqf+Rx07B4f3EykxuPqSDi5s+cG9wEfGBe2 qJlrkrDxrMDOKJsP+5OqrqR3ZGBmdu1cajIfpqnmP0ZvZqAfJ79R7jIfCsrr HRytM9D8z90bwcT+B1nbqx6OE/ibGdLn8ZlP+KeCT9edM1Hp5TZGWAsfHr0x MVwpl4lTfbPdbr7hg/zLN5fLa0n4cbFgSU410Y/1B5t3BZJwzu07a2bcFcAv u5187bQ0LH52qeTmVQF4bTB77WyfhgeGg0zULgigdbF+zaVZafhnpefzIj8B 2P7RKC2pTkXSvv27t7kLoLpjaV7XmVTkDniEkCgCKDOyfzZ4PQ2jkzQWLikX wIUj4bXnlNJwg96nB0ksAWBkXtVUfiruZy8qDQgWwLvyPq0Ugj/+3lAv6bgu gGXqrT/8Cf9K0b4eobhCCNNOhoxA1zQM38vpitgoBJ6R8cTQcCo6hcyFD1ZC oCqaO5y5moo2p07/PWAmBEX3BQ5jOenYTTa2O6orhNspzldtjxD4zJfM9lYT wpw35JqMeem4bCZ3OGihEC5Nfh7ue5qGNt++tnNnCmFGtSfvTwjxvMNee+uo ADo5u56d1SGeGY/CHhB6v7xrU9ngB+I8SeU3yp0CuDWoxDx1j3geGZm29hWA dLVw9XbjTJzFabidfUkABrvixRKFJHQQXeLVpBLvr49YMH8dCeu2T9TWXhPA 5aenCnW6MnBdadCDunABHHB02W17KwPvqX/PqPcn+vnbrl4vywycmexx7SlR 75/hplcvj6bj2sUv250EAnAlzZkM8spESbqW3I/nAlgg7QQ7lmXi203XTGMf CeD5maxYRWLeK573+S7PEUBI59dXP8JIOLX+LfdHrBB++6G2N8E/UspR6WYh Qnhe5By9kZi3ebIrT1w/KYSkIb/m8aVpuOTPsw3th///fZpLOi85qajac3xy jZ0Q1gSnxyReTMWHpK/Lci4LIVv9/MYJgt+vWEh2bUwVgsHFf71KOwi9/FWF VpsvhDfvrtBMifqtTzQ6aVsjBNetc12OXEhFy5Ds012uQiitcNt8JS4dC9xs TTlnhNBCddk8VzEdNaiSk/MmhHA8yfe0LyMN+yQCSofmiqCmspm3bjsxn56d 3qIVIljyETf2vU/FiBc71So2iCBA7sHt+5GpiG/CvIf0ReDvlNYw/CEdbzkY LstVF8Gw1EB86O10/PB28JXbYhGEVFjumrJMxw0n7wcrSIngr1f6nEu/0/BF +69fHaNCyHjb+NA9l9AzdYcXyfYKQfLgy9gQlzRMptfpG3UKwUfw5EDCgjQ8 H79qzwmuEPi7y1ZTX6TiMf9435R6IRi/LvhdEZqKnKevVl0+JITa31EaVuqZ GKam8Cz3tBDWbaH/y8klYUxrZcN34n4aN1aHGW8g8EPOhRMbLITDAeXPl3zM wNBt001KXkL48qBk7khyBv4MpApLDwrh7Pf7zvztGXiaadWyi/B7EmtzKYUj 6ShxZXsypVgIHiYKC4SamdgfEri0kvC/9o66s76JSNjuRSFxk4VgFrDj71QM CR2TNzP///+HN2Kk+tSJ/gicO29q4qgIUvobKy4dS8Okq58dZfeLIOPwndie xWl4X7LmwVJLEdBeudjvbEjFN5Eps1ZvFkH+xlVK+cT9Xq2YViw5TfhT/77b Cg/ScPJhucm8iyKIjAtuKLUj9i/0O+ybLIKS7KmJff2p+DVv1fkGmgg+PY7b MJiYiu1mV+f5GIngV50WqbozHf36vKDTVgRPnxbzvc4ReiBjR+AeVyLe58bS ixemo/erDS9khon95xud/0H0s0+M2ccJCTFg6pkpvlQa+m7d8W9gkRhmriyI Kc9LRcX1Yde75MXAfqkTzypKR7nRFbYWkmJICzUovXo0HSfqX81mjojg5Dqz t9bz07H/mt9rmR4RbO7aLj2rLg2pbY/b3reIICE+rtTsTBqO1jGPNr4RAUvF YHOvRhruYt7+/Jjws7Mfvq+815yK2QnRvswHIrC2vmFqFZ+K473/NEMMRdBR fOZg0+lM/OBpO/XURgRRB5fU7PtHwtedt8Vz3USg8a9qpegmCf+8X+sof0oE xcdnfagi+OTt/l9FSOS/OOhlnZs4A5+9qJcN3COCcxcvkyUuZWDO5oT/qNuI /ZOsIpgbM1DTxLBmXboI9lfPPT2ukYncI8k3X1wj/JC8cr9bEwlDIgY8XS+I 4J6Xtt+z8ySU2Xoy5co+Maiuju/JuJaGQVZ83L9dDEpOHeMpZoQe2G0yoGIo hmVx6+UTifvbeYBG+qYpBoXKKM247FTMWh2kZnFMDPf5a5LEsWl4b+jk/A9n xPBPRTL26po0TKxxm4qKEcMBn7chpo2peCX+wA/V22LIKa/w6Sf4Rb3gHa5c LwaLM1wVPWo6nnl5Vy9vqxim3bfpf8R0rH9np7Jhrxhq9hZb3PmQhnvLEmQm uWKYLfN9xo+CNKxIfLvn0Dsx2DO0NOftT0NVb92URwNiuIfHbfX+pOLl7VFt 8v/E0PU2238v4X+CfnL8L42JYdt0zYNE4jxamdXYnV4xBAtoO+P3pqMwuDY2 p0MMBYz47tipNLSUUNR6wRHDe5vuoGoC/wz5U6P+tWKgrXs/6x/BX5rZ3Q3L i8Xw39y39yznE3rmdEPaC4oY1gy0rY2vJ/TM1gc+p4l8e3nN1Y1EvhHZrIF4 HTH4e6x9ZbMmE1N/vj9XvU0MPvUug+0En5dZj0737Sf2U72peMqRhPpSW3w3 7RHDZU/j55vGMzAm8ABzkqjPm+dBTGZOBgq7znx4rSeGeasK45cfyMDVu5KU k9XEsP/S11MJ/9JRZ1n0EesbYrj1inn9gWMmemr8ve4ZIYYHuhu6vadImKF7 9km0H7Hf3WoTzRwSCoz7+zJdxdAzZZX80Z6EMx8ylKdMmiH739YvrnFpeOLq s7lXdZrBKm+0+8eWNGxwezclr9oMvfuK30d8TUVtw4mBjPnNkPT35Nu5aalY HUDbfW9XM/RtS5+zn9Bfa423a9UdaQY9md4Vt9cS/TKje8YX32YIEhhvEvFS cSYrpnNeeDNUZMRbKxB4OueuVaz68mY4O692Ufi9dLyhczhhuXYzlJcrL9xl Qui/5/53Fpg2w5jbhQWKb9OQvM+UUv+qGax5x0oo7mko71/7qq65GSwOJR97 NjsNY69hX21PM2z9+Ey+uzgVZXqqT+QTz0GkaFp8aTo2eoocfFqaYe9/ud+f E/hw60MfaDc0g44ub9OUXDo6HZ2l21vZDDKjoxeMKtNwBRcTduQ3w13/d2Qh 4e90tkulF2cQ+bfXDRcS/GpUycpZfqMZrlpnW197nYpW65MexUQ2Q/TD6PT/ zqXiEpNhmT/LmuG1PCEylDJxXe1GUfS6ZjDT8fkW8IiEYBFEltnaDMXW3v+y ifsIXESZ3L6lGaarF+rX/8rAsurM4DwtIr+j/sky2Rn42zP9xzxiv8sSrJH9 thm4Zc69/87OboY3jNXOJIIvWOeqRjRDmyF09MeQ7uFMjN2dYMzyagaT9IpE OwKPTFe6Rfo5N8OE2cV1p5gkHPml93zBjmaoe2fbcG03CS/u0TbXmmqGiL81 mrM2E3qkYsJv74IWMNPa42EhIKHxyiZymHoLjDt0ZUb5k/BTZ4WHvGYLGJ7Z sJw/n4Qc37nqi5a0QOj6sIe/K4j4/3p8WCzVAtXf6ncpu2cgKb4ye8nvZphi zP6MszMwQaGv2fBgC/jZXW5FAs8gDPzdd7SAEnl34ptXRHydKbOub26BN/2L LPf5EP26z+3vCcdW+J3WlCh/LBPFbzyuJHm1wi6Z+w77J0movuAkd+/xVlAb NjjZSSLhjIzrC1Y7tMKTokvv47eSULHq2pcjca2whyS9wsU1E7Xjbh4oCm6F qce5n6wmSBjZGa7gg22w/vWlwwecMvFI5d3LdxzaQL/6r/nlYRIy5ATWG3a3 wXJv08MfCTyv5RTMXxnQBvOTbXbYEuu9657PGXVtgxY3wb8YYv24wDYvwqwd rhp3Ha05Q+jDgCOuJ9e1g31UpEYP4f/myr1ctNqmHa7Pe53UQ3yecF16vebh dtgQ/dI6cjHhJ+50j4RrtsOgrPdta32i/qmsvu4t7cC3X1VWyMvAqS+2991j 28FRa+7JwKAM1ClmEIjfDsZjh272KGSg4ebS6sj0dvhY7j6n5P+/F/eb+qvh ajvE/F5pc1KYgRGX/cu3n2sHLY3iJdrE+08XOI8uOdEOa65NygiI88v6bZVb ZrChbZV63/ZkMubHnp/Y/I0FnaJ6NcoeMlKW5Xfe5bHg3aWjjlOyZLz3oO3J 7woWfDSYij/yOhMTLWQynbJY8PkTqbYyNhPruKteJRqzQUia/3XKkowRpQee pn1hwcOSL1PLNLMwuLpcTi2bBUkbOrS8e7OwQ75xoNqCA0Mbn2hfGSD4jiZf zvfiQMp6aZ/snixM0bU7uNGeA0qjpNJpahYefnz1b/JmDlDrN066Hc1CNcsX pJ8qHFh7rcG6VikLv3Cntx6YxYESB7ebKq1k3On0dWdBHxsuKQdHeaSQcfju w8oxIRuORWzjJu0lY2ZL+Jqd1WzY2iWjUjOHjDuW7Ui9S2WD0jaRb29DJg4f lJ/9OZ4No1nkqqWXM3HDFQu66wcWwRfh9GuuFGwLVxbKM1mQ3vZp+E8hBY8m hseLJ1gQFoIG+jMpmBm661vNJxYsUMqJ3fQyGzs9FG2YHBbo2XKypGOzUdHu W25iGQvswoaqOyAbD22pnH2OxIJTuUtai6aycHje7/mpZ4l4Hs7dmZNLQdMl oul8FzZMyN59w46jYKzKw4EaSzZ0eqruGjxBQc6qm+94OmyoecLkLLam4GId /6buxWzIVNDbY7yagimBHl+OsDkgf1zy+9pgMlY4fGecesgBv6WODQ/0ydhu cPZ4RBoHGlhMxoa+TJxUmFRPjObAqsg/MY9yMnGBe1NtWB8H9rbhap1sMha+ n1716j0Htr7rUV2iTsHu8zlvf/tzIN5gn9OxWgoqGijbKHZzYLHNcJKqCgXH u2qZZ1gcqPkz+PPiL6Ie8cdmvinhgIP7VMPrkmysNZjpoUac/+21HHmufzZm vWPWnSPOj9JbHuSgnY2PR/Y+tLNuhHaWcvshBgUH+fIZ0esbgaH5vtQ2loJa RYLY0sWNEBBDu2F6jIJuCbdP9YxzwLTrhJfONgp6W16osSjmQnyqW7IVjYyy CndexdzlQmGW66YEFzLe/1zY9CycC0Kmi0igQEa78oZWCU8u/HlwJHh5UyYO XPn4wcKGCyqPDi9xv5qJARmFClW/uGBcrKBtMo+MNs6zVmlVNcFYMivpDlFf z/ClMtekeXBQd1MzNmWhY+VJxda+JlA5Ffth4HIW7hh5vE5T0AQf84R9mWZZ aKwvZ362oglyvmj82fWTjBMe440tpCZYSEmbb5hPxvLpMOU7MU1gs5JPWexB xgDSH5/9J5sgmjLbYGQ5GbWNzz2ev6cJKlbCKyE/Ez+Lf0k3bmqCfsq5g6Xx mXhufckpows8OCFkP1W7RsYzO7ten3TnwYolRhsjgIynPOU00qx40HqQTm37 nYknIo0i32jz4FbGgkWbH2TihcJN26+/5IHWDtcsaUUyzvjzdN0HVx6cC5tR UL85C5WfuGn27ucDBNIOZG8h4y29LUu4PnxQT9uU31NNzCdLNazBhQ/rD/9z eO+fheYnpDqf7eGDkVLjZNvKLLw9o39rDfBhe2dajlBExoHUco++jXwoiuhd PnCVjONOqgKT1XzwVPEILjcno7TCFYxfyoelNW28iOFMXCj8Udwiwwe2yz4d K6JfRVhfQgnmQQm9zajYjIIzpW2F2md5cGjbjV+ksWz0Z8UW9R/kwcYTbK+m wmxsvVFz/aE5D+RuyLTPOJ6NFvtGvULUefCpdMdug+XZaCQoeSczzYP1PvW9 M59Q8JLc2EnNbh5wbKSOVN6hIM8Shi1e88B37W6272kKKkfGXThawANZmWTT FTYUPFnBnRmexIP8ry0FAmJevh0fHlr/gA+hHWjHZJDxe4JRqX4WH2rDzww0 HiTjj7LIs5tu8UFSlXLrlxxRj84Xhptj+WBTx9ukUpeJq9d/32NayYcGsUtJ /w0ykkjDZ9e08qE6YvO2xK5M3O1tOrEghQ+OLQt1Uw9kIX1lvkX7JgHQp2hG ld7E/BsMvTPdKwCV/QES/MZMdOq7NyB/SADGcZmSM4VZ+LZbXvegrQB0JO3V 1GKy8HjH9VNkUwGsiPpnZrYhC3sFswo+6QhAfrzk0MH3ZLQSaut4qgrAIjwj Ju8mGeeZ7MHlCwRA3WT8Z50FGVuzzzg1zRCAxPdmv8KfmUiRvuN7+ScfPKhn u/UZmUj6GhhOCeeDc5/ZqdT7xHyTF0ttzefDGXpl+z49Cl4Iem60ks4H3bSq u+zf2bhqkppVeYcPqtIpsYycbGy8EiO1N44P84P9AqIOZmPwAg+/L6F8mP5o 7XpIJhvHHCvDdd/x4cFLDaWlZAo6Ztla7Ofx4aTe2gvWwRQs/topHfKUDxpp uh3Buyk4Z+PpxrSHfOiSMDBlaFDw2t7wfRIpAjCNpV3/fpuMR/37PX0vCyDj 3eaxV9vJaJDgHiIKEcC4KesElchPNl9w1fykAI6kuooiaJloqO9UY88UwNwt 2/jic2R8LvTQ21wvgHQbLEn6lolSbzVYb/0EEHXS5/nnB1kIn18efXFNAOwl v1asmp+Fa5fMWHR3oRA4c95//J5Dxun+CzpF2kLYMJ4rkaBBRvHr31YNFkK4 ++2Muk5WJmbc0IqTMxPC+PWJMuX7WbguYHwLSUcI1ucOXHJwzsKq/U1fdVSE cNPjvsM1CQKPVn8s4c4VQp70WdkVhWT0Gdjb3jslgMuZiaMOBD4mPK6TkB4U wLFNeZ+uEnqgKFZ3ncYHAZi/ec6vqczE5L49zAIPAXi6VutRKijI/aUrPRQr AKnZs2O2uVCwY2TiXN0dAWg8v0HJX0DBy7J7yi9dEUCsf0FdAScbddWyRmzO CeCps5m5ZBgxj4aDG+cT9ZuGxqrDq7Nx4kDQ1UaRAHq7L6m311Dwqy573dQL ARxI1Hrsl0xB0WyNJt1HAqg1YtnP8KJg/cfzgUcZAljTfaonxZRYf1Jy7pFw IQwwDihfIfBvpaJLnrafEELaehOWEHh1hF1m9ddVCJNzLk4yuzMxJXzuxzd7 hHAZlvpvuZmJ8mHLrineIupdcmItJ4jA94P/ujpyhFD2ty6XQ+Dloy1fN2XW CmGL5fI1jWEE/gyeHql2F0JixXRVVEQWas6aGj4bJoQz9UVXSn6RseWLy81F siJQ0QjIXelGxmtWbja8FSLQ9tB5/LgnE1dQZm5brCuC5MkE8/6WLLyl3Zo3 qCICxyjX19ZRWShZVrC4ca4Ils7Q3Zf1f31lHhX1/98jbo+Zah9tJPjg6dt+ yX4htJ7ZTpkZSsaCwzdi47qEwJN9eeqnOhl1RsyWyTUJoYFmbfSRmP8HN/ru J9YJod6sQZIfmommtW6a6S5CWPrqt590AoFf4/X0o6FCEG7aklVP8OlY/Kot jy4IYWVUOMt7FgX39IYcYvoKYXCqvpdE8Dnd9s2Fe0eEkPUvHr0OEfOXr0S+ uksIdhIOqRtmZONXx8GLJ4h6ZUfITd4l8LSrg1mY/UAIe/coMi4nUlB8zLWj nSSEf6pr7c66U5D9ZdFshQQhlAxs+eWxkYKNii8v3PIQQZI/95kXwbdrF7Vm vtkvgoMa40qVqmS8Ive9bsZ2Eaxs1QqeTei5pL2bL7dHikC2Okcv9igZy7pv 3Wy6LQLJYUnV44TeaQ35kfEiVwQTa9znWBH3Z74/MLfcTATiw0pFIlYWeiZ5 f1F3EIFetXFyrn0WxnPcNZO8RRCvdDA4nOCrbRntsY6DItiYsfjJv0AydpnU CItniuHj2MVVupJkDG/P0pizXAy3Dw4kHLmdiSHfboc+UBZDW1pi8vvBLPS/ 01PQIieG6fPj6idSsvAEGr+bMS4CTZeTpd+3ZKHrj+sLdXpFsNtcvP1MBxn7 lXmfuG0iuLfLxffGRTJuWTGs/eSNCBikzhsWa8kYvXLxmbzHIij94VI8ystE lsbmirt5Iqjf+lZwn7jfhkjn2qXGIsiLZ3rZllBwG2ub/d99IvC8fGLF0CkK liused/pQ/TnRc2We2soyLy9WzHInaj3r9TGrL5svPSKdf+mvQjCixOn3yVl o8fYzm2FW0Xg7Xtpg9qmbDR8rHOsiCmCILdzjyoJPJgu0ZEfThEB3VYla/oK Bd/k6zw1iCXqu/n5VWsnCt6m6Zw5d0YEUhregTcIvXrGzZZ1zUEM0RYjHicy yFh6aOjZ+u1i2HjJ2TUWyfjrQGo1b6MYPr2scs7+komb924rC1IXwz1p1f01 NzKxd90Oe42jYhg/qLhp4x0yEiB/dHaQGK4tHdP+pkXGOcdop39cEYNic4t6 dlUmku3bi7eqiWFx85FrD/qz0PrYf2ZOhmI4tGbRCO98FvYHDr72sxVD5nmW 64hUFqIK//y2d2LwK2d+3E/wteNiE2QNi0EnCwRjRD/5yNGkHaWa4Xtc+9Ps i5kY6MjowZnN4LWknmfZnYWGx/Xrqon15iMXqTNis/BPYPU9ww9iWCjYfrZW ncDni9YBRU1i+Fo0y/rCMzJ+LqihDNaKYWfclEbUCTLhdxY12hSKYdGZ3eVS hD74OuT9h5ophq7D6TsTiwi9p7T+7cVNYlAbOqXieomCB5fNNG0g4heJB/6c tvz/763KfyjfJwa9vh4gyVIwxImjIAFEf3I3rBh5mI2VtVds7XTF8Obl3Zri fcR9isuuB8SLoTe1ZFE+jYL5aZbG1SFiOLqU0bQjgIIr3EQ9s46LQXwn9fpn Qm9pzGmobzdrBhlfW2n7e2Rkr9l4o3ddMwzv6UvabkLGICvSob+KzdCxMXGZ 0dtMVPKQ0pSVbYYXS/QpOtEEn4z8ek21aQaF4TbHV4Q/1T/4pPCbSzO45uUr f1xDRm51zB39gGZguF/onqzNxJi1xmbSc5sh/sWmV6XvsrA05dv9wyuboazA /9ScgCz8PJ2mUmjYDO+S8xb+94+MEpylCdEvm6Hpyw/eZj/C/1g/b7rT2gzb 9X+h50wyPnzqv6jgezNUhE48TMrIRN0Vl4xCPzSD0emE1EekLHwSpvDboqkZ Pqu7Xy02ykIbEbN0bk0z3GreFFpA4MHaUUFGQkEzaNgsWHrpLBk/zTQ67pDe DFxP1/gvhL/IWpipoxjfDGGR+eO2FZmYoLVSx2d2M7ytt5kMIvxTRHy/fKNq M5hLd2WMRlPQ73v1qB4Rf6ZdoMmF7RTc1Bn4X5ppM5xhSS3XIO5vkY+OyqK1 xH4ZcfNiH2Tjz9HPooQlzSBPk+ir35GNMdI3G/RDmkF6p9rqBQUUzMu+eTbG oxnyTxX8nkHonybjW2qiPc1gd2tzw8+tFAwvfxshGdoCa0avlvEOEP7rTteT Wckt0LFQuv7T3my0fhn/etvJFvhJ+v2oUImCy44sqt0T0QK5Q5pjhc8I/5ai /aujsQVIchp/sm2ycePanv9M21pgd1js/c0KFFwZ4eg98KIFTph9GvjxOBtz t8uwVUpaoHDWksr5dtl4ciwYOMT5qrdf1A0RfHB6UE1T7UILhDm3stcdoOCr jr2z5G+2QLWotavoBpG/9drw8EkWGBvW68VaU3FZ6hfRl88sqF7YpLhSk4oq vYz1DlwWmA++nVU3i4rqZsev1JazoL6xb9DlM+EfE9Xfrc1igUXBeMffFxQM pRnddT7Chqv9U3IhoxQceb9oLk+FDd/CrCJ+7aJiP+usy7avLLg7LPh36Q4V DzX5W8o/YsHnvOLJxg4qun+Yf+i5MgfsGEs3W+pRcadPYtl9Tw7IrneWHx+k okNR/6/qXRxoH0q8pMijouvIni3sTRzIL381alxExZPGRaHtShw4f2HK51Ai FQMj51d9k+SALWzuCvWjYt1Xr6MSfWx4eeH1ZsZuKhp/Oj1TXcSG+Rbt6zrW UbH03bk8fMKGQ7N/qMnLUXF9R9SeY3Q20LjTCjt6KZjbHPczOoENP1IWykW8 oeDkFv+ZBb9ZEPqFN73qOQ1VjgYqWr9hQaTw+OcLM+hodiVE/0MGCy7V/WEJ ttFx6OB6m34JNiy7XjHlk0TDFQppBeLvLHhE5kHpaRra8WfOqxGxYP/DbzHj 9jS8cCMggF7DgoGXEi+369Mw36ZTcJ3JgoQ2JemEBTRUdLC2Nwxhg7qRtFHV ejr6dhgdX3OUDcHxF64tnEfHJ57rwpR2suFN+0CnTz8N5/apJM7bwAZlneN6 z7k0dD27gDZDkQ0BEa0XlYqI+D3ix+x4HNjFfJVcbUnk37BO8L2CAynr7u3Y pkFFc11ufnwWB94We008m0FFu5SAWK04DmhtNiqxfk9B178LXV76cyCgevYJ FjGPGrNyFF9PcODXT68X88ypuPx6YMaXTA5wz169dbCOilERHTxLCy7s6Z30 OjpNxQVjIyMda7iwYO1F5/OdVKSenbc8aD4XBF4zd9x5TMVNg1rmsr8bIYUZ t7n4LhVf+uIxSmcjOH2W1WQHUVE3fZLr9rwRBNS5+Yr7qKhhfuj9vvxG4Mim tJTqEue/LxuyvNUIrwIVZ9nNoeK82AWSRqGNUN+evbHnG+F3NU8tXne0Eaot tNyjXlNwe8qnCeVGIt6Kp/FDdTTUy+7jjl/iwOC1wPRpdTqGRo+J13dy4CGH 3XPuLg2N9qSL57/gAMh7bzoUTMM/SqbioQIONDpKRZscoGHltw6R8DYHjqTT OEqbaHiuIlz06AIHvnbB8kl5Gq4UbytVc2oEx4fs8EFzOvb6e2CleSMwl/y4 4atMx9LZl5vsVzfCn/Pzsnr+0jCcmuP6ZU4j2LzTKz7WRkNrM9b3yBEOZGzf 97Szgob6Mm/n5d/nwvSF5Yfn7aWiwaFBJ2EyF25dXOWbrEPFLXmSWROhXFCP 0wtfIkNF07ElX1Yf5UJZgsmNdGK+t9po69lbccEq2Yqs+oyCRaG0ouuHufBg txpVYiUdT9pPUVl5xPqOY6rXbtDQ8qhNzNckLhS4O1+a8ib6+3TKMakQLlA/ 7+4NtKbheOQ7WOXChTQfi71f1Il4nWaix6ImiJFw/C9BlY5UJcPsL3+4EH+q y1WPyG/q/X/Tp7qIeJu9nARiGh5i3nUbfs6FVBjaE1xCw+m06urOEB7skfqm EWBBxXbfohkbj/BA7/6byDPKVHxkTtsRt40HC/bntwX+puDN+fdudGrwYGj0 msFZHqGXSw2l1Sx5IDMWekvxGRVn1JQzPC35kBrFtJTfQcXO5cHPT53lQ1Zz t0H1ONF/z97LUv/jwxGvB/mKQipe89m9v8WJD0v/hKidz6fi+4WVaXN28kF4 Fe62XaTig3/5fAdjPhhT2ft8DlFxf4ps6JQ2H0if/q2es5GKo1o+qnnKhN/W 3Pz3gSwVM6rfvHCYR/h7b1+ufTcFT6xSlzGN5UHInQGl9hQaypzvECl78UDN 1uqDmT8N7zelZE/Z8oA9lc7M2kFD+9V7Tr3X5UFw6aCvxEoatsyPkp83yoPr xUoZ3zbR0bnynZF0Ow8GXbd9mjOHjs3u4P7vCQ8c5TzX63+ioZMMJW4siwfV lVdCHJ7QcI3eAfVdRXywen84evIIFc/vOPc9IJsPQcd9T27cREXO0fSyu7f4 kP31wl4vIv4VoTURT2L4wD2VYET6QMHAu1n3Pcv4oESL+/r+ABWfVwda/PjA B1OFnuPcFgp6Uj88MQ/nwxyzbMVlA1RU2Pok76GZAD48OXO/bwUVg87eXth7 RADPjZWED0aoeKSnLvT7LgGozunMr2ug4vaDfV19pgII6yLF8ElU1GEts+pf JwBRsevh7gDi/leYMO2Uif3cZu4ftaLixDL9qd45AlgnNj3/SIl4f6Gm09VJ PgTvCqIGDVHwupxy4ep+PtQ9zWdtIOZ/SVnepVkFfFi789NhmWKi/54cgMNU Pry5FaH8PoyGSjNNlKVu8+FioVD9FYHXb3et+FMSS9w3e+3a+6tp6JlV2nOP yFd5YMHeZC06zikfOUzj8yHMoPZl3TgNH3EMmwqf8qElzNf0RxMNj3aHbK8q 4YNB3bISRToN/ZoqntASBeDbU2iXvJXgP7N9MuWRAqCz990ULCT4K6/XscFf AJ3FI4KFXygoDEudnCwVwIwvqeTS5VRMziiqMvARQGBt5BWXT1QskmHc/HVT AMelWtT7wqgY+t3USGulEAzXWYfaE3wLygnn27YJwaygW+VfOwXPl+8Pv2ZM +HGOOCNeQMXXaprStmuE0FMxI1CLRsXF18duySwVwlba+p0vCfyd02wmZSIl hLjf0eZpRL0v3w72rPslgD6/dd5Oy6g4tbew3vKzAPZ/Fqcs+k5BNU7fDhkP AeiG/0g2MaMjpTgkVZhExFsfah1SS8MNeiOe4hsCyJWasnwTQcNnZ7Xer4wQ gNIh8pZeot4OVYdd/E8JILFgq7YcgSdv5qe92yUUgAw470sm9pOL+zTn1VMB /Fo9TT1D9LvdlJ4JFBP9IJczsreThonBF7yqyAJoHNpjrX+fhv2bb3qMxgjB UrZd9fVhKo4orvXtPyOEG6NObpOEPvg79TTos7sQWj4JMzdNUvDfx8PhnfZC UBPsfevNpaC5t+XMqDghXHzVactwpqLjm8XhUzQhJKd8LT5K4KvG5oV895NC UJQ2UVF5QMWmO7PLiiVFsOtys8zodir6PHjUdVeV8Hcd7zIV/hL+YrnMmL+2 COqOadXYfybWN61X6l4qgkXn/B2PPqSi1pX95s6zROCV8OiHfxQV7yZa96z+ KYR53Oi15+yoGGv15MqND8R5qsuuaqhQMWBig9avJiFo+hf1NPVRUOE7Bid6 CWGk72IqZ5CG98j1vZYXhVDi43n1+j2inkeUV6w4LYRHH8+Elf5H4PeyUIcx FyE8Phzt00Hw1/pmYZzQVgg1gsQjkhI0hMTX25hVxPtL50yuMqTj1vgPmsE5 QtB1iH/u/4+GppfG51qmCKEgUepaJZuGCds+/VH2EsHMGqbfdVsqOi+I3zVy QAQT+bFnC4h+0fiwnsy2EMFIqvsFdg8FX28MNIoIE8HTo7FebUjFi1Kpywxv iyDt/PS2zeMUpEufeyEk1mek6yePtxD9maTUeseN8ONOk6trr1PxcVPlH+9e EeR2vOhUJepjcWXZdpQUQ8BjcsKn2VRkmYXeWKYsBqN7oWb5hJ5N8rPdLq0o hlMGniGXCfx5/0BSZY0U4ac1PPSHaqi4of/J753DIhiTP9brEkfF1EVZ1yu7 iHgf6nzMJvTH8bNVT6bYItCf1bhroyoV9cXiH5aPReDr7PfoOaEnpe5IHNYA EVBUTi/iqBH67WzHT+ujIpjneNHXiqiP4xqF0KbjIlBwXy7FvEzDT3tdDdbs E0H4AtOtBUT/nw1jDEabi6C73iWkeDmh52Z8V5ekiaBprKgwQp+OI6vpR+cn isB/YjR/6DcNr9u6kpSI+s2d3pbzXw0Nc/5FDV21FoPjfXU/x/VUTLmO2uaE /5XGy98d/1Aweomk59AKMVSKv3g7PaegWYPlE/ppMQSF2t7IUqPilcofL8Vx Ygh1pr5d30XBXWc4LU81xGASOVdp7hDhH67IhCeZE37fxHGdLsGPA+nWaq7O Ysj+TTK196TivWVpUhOtYvi5cMXxx0DFV8WXxaWDxH5R3wpSpik4f8Uf2wuS //eD21s7h6l4+sWt99AvhvPfXr1KrCTmwXtdiFSbGPjxto8gkpi3g31jp1+I YZBn011G4M9y3ve9t4rF8MzE5dfK+VR8u+N7zkOSGO7Q/aWTWgn/dbn592lV Mex1+3pgKdLxQtOwwwZTMcTIzqlVHqZh1/L5JcNEvGXlelrqNKJfV25pXWcp BivRdz2rkzSMtc4fGiH8vo7h8Mt/6wm8dz52XJaox3/bGYX9K+iYOF56yixA DNe3PjXe/YGGVVlSwf6HxPDQ+O2LPCoNZ9QP7sy42AxeLukq74l5qUoxUd2c 2gyVFxzIjF4aqr1ruhIR1QyFlwOz6pg0/L5v58/+kmYYa4k8sWsDHVM+Bdx2 sGkDypR9zEJNGgqLrMYFJ9qAWUgb6l1Lw282Q3blu9tgoYrBL+oZGmY1llzb S24D7eTLC4w30nC4wWLxa3obqL9YaBkfTegts4z30nFt8NbQIUKsS8PVi72f BM5hg0Lxwvzet3Tc4zAZzv3FAnnrqipBLR3PJd8y137Hgrmdx9hVWXTM4q+e utzAAplAmU5qNB0bFlTVfihhwazZJX3XjtFx0H5PlDnhh2aQD04GWtCxLsh4 taYXGwZNg7IUfei49tjbisVGbDCc3DBVk0+sJw1bdsiwYc+lhc+Neun4oGtF 3Jv3LKgw36efpc5AHzW7NxUVLFAbTcqcdYSB2/JuSDtbc2DgU8QLqTBCT9ra 3emX40CXzyeh2Rs6fu1bORPcOHBNTuqU5ykGmoGXdT+xvuHoVxPX3QxMun3/ KkmPA9JlLBlnHQZ29wyxbJdxwGr2g9a9cxi42WTL3LF/bLjkkpRj20dHd8GG yDff2KAUXe4VxCH6p+Z6cJ6ADbJ94rCS+3S8l/v5VHw1G8acf10fSKDjw9vb jnvT///71IvJ6/3oyI1MO2Jzgw3NegbFvnZ0nP68YkHyXxa437oaSAcm7oLf fm2EH5z+WMU7c5aJqekctloRCzINfuhuy2XijJAyeRNJNrgF/YssXMjEa8uY JhI/WKDxpur0uhEGLqq+58lqZsFX1WD3XDEDSa7xCcn1LHhwVm/f6goGrvp3 /tHhfBYEsr4hNZXI9+6dGWmBbFgyz84+u4CJA1MfJfe5sMHmwm956RtMHD+h LyVjzYbwr1kiP38mSjdFzH6qx4YiR5t7InsmLtzClg1bzoYPz4YPmW5gYnpG T0OCmAMTo+oL2Vw6TpzWn1tUw4HyDFnKzEI6ulme38dnEH5x27De1ht0rF/2 4s7PGxzQ7m6rPXeKjho/5rYrhHDg05WndiW76Hhx1CTEc28jdAZmNCwl6pWU rbFvoWQjbNqrdNWqgo6jA1s0ums58GVXRvLXxQzU0Zra1xdNnLfZvvmfNwPH 6osksz80Qq7u2dfyr+mIlIX9zC1ceM396cEMYuDakPE6O1Uu5KmktjfvZaD8 rk+3RmZy4fops/3SusT7Kxo9M743gl/1+zdb5Bj4ceSRoYWgEfbKXsaTX+k4 b2+J7aHHjfAozOrTxld0PG603P5qdiOU+z77T5VOzLfaRYeKOOLZddsXmRg6 LpD55tzj3wgV9k9O/jpK4LUwfH1pHdFvkS53jRyZqLHc/XzPVQ7cpiosOp/N RBP2kMkmEQdsPo6buc1j4pDHItbNJxzYeLbD6NsPBub+NTjUT+eAklS1wdlG Bh5Ndvq6i6jnzNR0/en7DFyiHXouL5gD/WvP61xLYCCPv2Spze5GWHVB9dmO UibG609+MDRohPTQmA9bkpm4Pan7vrpyIywI6fmndYaJEz/enJs/sxGuBNmq LdvLxPLdxRYT3zkwHlC4bbYeE3+VXVDSKeTChinLwXERHQ9dKbtvmsKFbXc0 SlxK6Fjj/MN813ku2OlIBNYQ962+VrPpsDsXjjx/v1GVmP8rf93cfay54H24 7mekNR3/fPQ8On6VC/5z9JcVEPNe1hcZ0yTLg/LvN486BTJwK6ervqq/CdSD vVVf7WJgQ8HWaYagCZKm8K3hagY6XCeb3ypvgvE4RRJjio4Lr6eWVaQ3wXaT rsITrXTcddqqPCaqCfyNjlTKlNLxksNwhd3xJkjd3Pr0PhFfzZasx8tsmuC5 gSPb/iQdfyvtru5e3wQ/NgpEwwR+3b/tKXQ9xAXZHHJ6OIOJCRPVdt5ZXNgs CMRVEsT8WP0Y+u8yF5KeFs707WLg/iTVux6+XPhS3Pu6pIqB5a32Jkf3cQGy Na//uctAVMpUfLGqCYYf+z+3fszEhzNlXYZkmmBHx73HASlEP/SHZKoOcIE0 UV+UfpqJKS3dXbtEXBhS6WW8sGXizKd71cIec8F62yJS/2omVj/Q+FMQzgOn pJl/rRrp+O3277KF7jy4OVBaP82g49Lzb86EbecBy94z7nEkHa3cSbrvNXkw s3jhniBnIl/dPTZBjoT/kdIhL8igo59PsFr/CT4462lvuHKIgTaCOWngzIcL syllIcR8aJrQ5W/vIPzyh6VGXpIM9Nww+VjWiA/Fpoe6aoh6K38Rrp9aw4cb Dh/jThbRUUzKpwwt54OPr++GRVcIvtx/UeGzLB92xI6017jQ8fqJv4x1+XxI oeYIX/Ho+GxS6d/+dD5Ir1b4BkT8Yynmh89f48P5nJipKgLv9XWOllHO8+HH 2sFFhnsIPGUef8BsJPyq+VPdw8l03B57foMK4Q8T1RY/WySko+OxC9vOHBTA gzuzpf75MfDMwrD6HmsB1LoNXRSYMzDheQi6GAqgSat9kj6XgX83Xsz7oiEA Zf44pZTgQ/NI+V9bFglAePGK3Dsin+g3FLgqIYBrG+WDZYn5fr54Y0LrEB+g O6PL8AAd6UP5iR9y+OA4YsbulWNi+Ajf9Nw9PkhVBbwQEf1xYPTP1zlxfKiI otfUljBw/d8Vd6khfDhp1Vqee4nAH5buC8sOPlDLU3PmpTFR4LHs/sQbPvDX BVy6583Egr8zUsoq+fAve8cxNRMm3jRx15ZNEYDKrwNFFkT9QtZ0u4XFCODl gtNdktl0dFly4vbXAAGc0omf+/I0MX92YXuEBQKYgISdkw/pGLG0pEYxVABe mgZ35JCB54S/fl9TFMK+ghe8/S/oyD/u2jhoIQTjkO3Kbo50ZOnLeK+xEsL9 gw7adsEMdP6dMOfGBiHQ6P2LgrYR/FK9oHhIRQjpg/GTqTIM1DOLUafLEv6k X4WUQuCFaqLk+zV/BLC9VonPp9Bx7vtLmQ8Iv+iXuFxqPhHfvMc9hz8R/vcJ czVHRPS/V/p2AxrhF/0lw5TSZjFxjLm8ZynhDx/J+mzNFxD3VzpwL4Hwv5Py R45VZzEw8qx94QqWAHg83a1mTCae/jK64L9yAcQ+fr13TgATjx3ODsqnCmAz 1d2z05iJUyMb9p8/K4RWiYndLY8IfU7JpskdI/yM8ssf5wh902o3/xfJTgix homJywh+UvuH33UIv9ftfunR+UQ6/i3ZzyAfEMJ/1oeMzU8wULCBf+51hBAu 3TH8q/+L4P/gQtCaFMIHm+gnr4j5+HTJWMVghQjk2y3W4gU6ehkOKBloiKAg +iDZ/gDB5/UTtx3nikD7oQF76zKCz93utZNGifhU/3HvdBJ8Fv14YkM34T9V 3FkXCb75QulQfc0VgrZy/Us/gk/FJ2Tf6zkLIaqb25hJ8Mk6hu8uaqwQbkqY FX5WY2JRq+3Sh/5C6D81/4znFwZumqPd/fSQEHa3fNz04QEDb9dxPTOLhRBi cE8cQGKiYa1Eu0K6EAyfb+UnuTGxjCcRtPuUCD5ymB/oHXRsr3+U1ekkgsoX vqoviH77V3yScwpFkPhE/0j3f3Ssdhr5fDhQBHrac/7uJvIv3RFBv50sgoO7 qlY0RtFR9MhF+aq9CKbrJtYNb2HgjGfnGHHTIvj0/L+143foKFxerfJpiRim X90cf+ZP9Jv7jGc3pkTgt+sjq3cdAzuYO05s6RFBe9Om9IXf6Ejr1i+KbxLB d59HVQ2EvpQxWPpDjvBjEeQ/yRKEHiPzhi6N7RVBDDPM2juY4Nt9gUcenBRB yPlvFmqLmFj1IvymPOG/BrlLI3YS/WVsFPcy2JjwcxrWFQG3GKiRMxqfkiGC OYFJoQNkJhpQX1d1/P/7IYXR9TYHmSjp/KgoP00MKa/++3ophYEVW/f995It hisqEwfvXmXgp817Qv//f8D/LXh0W7abgfoGIfTe72Iw2LH49yNCv7nfFr1P aiI+/xuzThxH8PeUZJE2Qwxx9W4fD9xmYuK5AMv9hL/Z8HOT7RUzJnpHb2R7 VYnhOeXnWq0kJp5afvZR8aFWkHjRsDYjjYGjF0YN7KNbQWj0IEuOxkC/rXbR u462wnK77T8qJxn4bklwtPejVki7HUv9SuCR3cT9P1EvWsG2oJMPqkR9JsNV ndNboeXePdfgfAaeNWtgz2S1QVe3rkV8HB0VouaFz5dqh8Lym+vVU+loa3h2 1oVV7ZBuwpe/Y0nHnoqRq7Nft0F3t8SqrVYMTI7uP+z7pQ1Sy+Ue/19fF646 FBzt3w77pyrTyqroSPkjnB95ox36PLh77hL9s9FJMoAe2g5mNtbPHxN8f1bi xt9fdu1wIf/LwahiOi47YRv4V7MdGsp31PpZ0fGAz4IBjadtoBUld7jjLhNj 33lfHulpAx255cIpXQIPnpYNh9e1wb7i4XRZQi8dO1kvyBpqA5OSRHqtIROV w6xsGyZZ0HvZZzV1dw7uUT//eeQLCy5L20vn6eZgNLsweqWA8CPxm74VLcjB h2e7lfY8YUG17DJ2+TATP6ssqzjPZIFTwsT9GhETzTLWfP51nA2lxqsDRgeY 6NTZSeowZ8Ocurmh+atzMEDl1oGnS9jwn+XvKNcjOTixyb/k1zALVHt0Wy4n 5KCiQm1WTxML4hy+GRU8yUHj33MTW+6zYKCels7ry8EtAVvT9zhxQLWT/2Lk MxMXWZl8S9LiAHk165KmJhGvpOK0oS8HIo0NvORm5KL1V6d+3wMc8LFJulr3 IQfnNN5+SzHngNOh3rygZznIL+FxWjQ5YOFtxdai5eC9u3OfzF3AgfVh2X0d sTkEP13Utxoj/MieiFXJx3MIf+l2j/ORDZ+1izXLrXLw+yvTKQcOG05Jd69p J87vfrHsv45HbPjZrbBuSjoHO5/9YntksSGsfud69W9MFNULNvZeZcM/0gU9 axZR/4G2wtFBFuTJBw8X8XIxcJnfqoU8FhiuddN5O5mLb/Bfmg7hj57CjhOy 6/JQ+ujYUNY4C+YNxR5Yfj0Xe96Xblnbw4LZHx1Ds/xy8aWHf8RD4v0ZQi3S 6r25SP+05rlpNQvGn4/VFWzMxZgT3bNfMlgwUsbu3qCQi2OVyUdMIthAT1sz vNg8D71/vdVNJ/yrKOO5tseKPGzbsFbi7z42zCS7eRbNyEMb/7PiQ2ZsMMge y5jozsXH+XW5jzXZ4ElNEdm8ysW1X2TDl8uz4TZdb+693Fx0mlRJJLVwILlk xc4LB3JwA8npgV49B4y7iwT2BsR9mCZxnuVy4P1icF21OAe/tL3+7niLA3HW vC9/fjLxaeg/2W9hHNANdQ9sFDJR3FWq5m/SCMqMu4OK/Uyc7Xxs0eA0B6p2 PSvw35qDsgYKRxVZHIhX1PntcpV4Nl0xlpbKgV2PNrQ7c3LQ3PuudL4UFyj3 9Ojzl+Zg+8SJ5ZE6hJ4vVUrU/ZKDV7KXDakt4kLK3TNJh17k4EZLVsPzsUb4 Fvb65iVKDnZ9uZB94n0jbHVVSS6KzMGFUU5uJq8b4dLbK1UqLjl4ra0+MqWw EY59zz9taZKDEgbrsvrvEOvHuKt8l+Xg+cQ7dTsjGkFJ+mfbrd9MHP46/Y56 vBHGFi9NqiTmpywza55GBwdiJUP0TjzMxYvXNiuXPODA0Om+v9zBXLQ/17h2 G+H/3Do9Xm3Ry8OnD4Knnd8R/a4kOBiXTfRDpOsZxQYOMGYdfU+KzkW5vVbd ncUc4Ax893ronov6K9c7ZqVx4Gdb6MBryMUDw4tfH4vhgOKLWefequWi5OKs 6uNOjTDx6M/LmZZ5GGbwiZ60lcinbGiTrUYeDhxYm1il2QgvH/ZSkiTy8ESw /7nP8xpBu6R7vvhDLnbeKXVfMMqBxKLOCMWnuZgzafJFrYQL3Y9lCnqIeZ9R Nxoz8x4XtFemzZUzysEj0WWqX8O5EHh1TYAecf/leKaK7cGFxwMVAodBJi6Q 1HUq2smFGc47DEM5hB5aY643JtsEeUu0vCSI/piS1ecNU7iw6tr8LebEvLrQ Tw783s0FKfcB1+HRHLR4yDsnM9UEWied5ek9TMzUOTLVJcWDPH8er2EgBxmj dsu+f2sC0veNK6Qa/kfRmYfF/HZhvCgUiZJCodIioo0QzhFRSVqQpahkaRGp aBHt0UoSSQotU9PULKHFUhRmn9KeihZKqZRI5Pc+759zme98n+ec+9z357hc l1wsrAL9n1wBJJxK8TLNJOeJN9g9rVgAoT0/y69czMXSRk/33GQBGPqU8hJs cvHv1YBnrRcE8Pq6ZJ+LTi6iSZSs7BEB2NPtpq+XyMXIbzdct4MAuoSZS6U7 CI9kfZW/mMGHskVPtH3e5WF2Sut3SXs+bNsuo1lI+nlb/oddH9k3y/1Khnal 5eGyC1sCqWTfXHxv4jn45yGlOTrTm+ybQa83Jxjb5qGeiahGn+ybbV9DHdfq 5mFZxqLBHzv4YCJXs0pLKg8/Tp2tK1ksgLx5MZEM8vu5O1c89/iPD81mlNvG UhT0SmrOW95D9r1gdsHz7jw0bI5PbnzHh030r8+3v8jDrVri+ryrQugWe+2g 7ZKLRw9WOCzxFMJvOVcd1w25ePma/2WPPUKQ1RCfSif5cL98bU7ZWiFoGGcJ Gz6T+Xzs++9MkBC885ZIfQjKRa8fq2sSzYQwY69sQq8EBTdZR0icuiyE7W0l IXtTiF+4XJqxwFkI1wPKsws8iB/6+c+q2iaEdoVKruS2PIyP8Zb2VheCDqtm 1FkxD73zjkRFTwlhxy8F/W5TCt7SXhx7s10IoQ3986crUrAivzkx67kQnrGe j6oN5GGXzu2btAwhTNy48d70ZR4W32dYrCwQwc+JmFzH/bn4UuHSQhWyj21K cpGI1cxFYfzO7nlXRXBZw8T16a8c7Jw+ny5xUQSvKhZU9rzLQQM09wtvF0GT w/f1PURfGTqey33W1IL/se0nZlnk4nCy08Fxx1oITAnImf5fLj45u32Dj0Ut BHN4zu7sXAyxWqn0bV0thIipKgtv5mK3bcThuP//fzChS81vHs3F6oWnWFvm 1ULxwojKPatzMafNcs7IlAj4hV82zJrMweisNSceDohgwNSK8eptDtZIPsrU vFELvJqQt8NWuRgkClt9iewXe/Rm4uDC//uvc1kt2R8Ed6+X9n0k+0bIBWnP J7Xg7rv6/dSCXJRuzXUPPF0Lv19MLpIjeTvQRNF6vLwOtv1ILb9kkIuNeyzu fDKqg+o5dRNGfJJ3/zbfkF5aB15HUx8EJuai1YzHUlUz6+CtlPE3U1uSpxaP 1TNGayFtmmqJAfG/T/GPtwS2k/3sj3SwWnsOerVLuqiQfSfigFSzCskPv60m Vc+ia8HA4+jF1z4krygZ76p9aqH0dm7Pqg15+M3VTN+B7Dv3zQ72MLQp+DOj KPUesxZ6BkLv7/iah2Itin8/pdeCTnL+wSZqHrZf79BxP1cHNfXn/u1am4vT fnYcoh2qg2TOLLemkRyMMD+f862wDtIv/XzHJn5yPHR9/czgOsgRbF/WGEzy ov/JUo/JOjhuBf+5HcvFJJuyHTWa7+HQaKDmDdLv4aSO5Za67yF0xda8zB+5 uDzt/LSLcu9h64e98aMFuWii9zKm4hd5f/O3o9FkflQT0r/t7KwDz6dyKkeW 5uLMrxft697UgVyqcdvathyMObukw8mmDmbZG3z2MSB5/4pRzg6pg049+3jf W3m4wXCnbqdbHezSzNsnQebfI7s188fuOiha8kf51hzCCytPr9UtIfcpMr3Q QHhB+aLtXdqdOlj29DPVujMPtxhp7ynNfw/6QW+kfszKQ898iSUZL8m+UqeT 6XAiD0f39Womlr2HiJr25Ssb8vBKT3T36fb30D9tnfkjYwq6h1puXNDbBGE9 6i8MF5O8O/djziK5ZpAwS4k8+399+EvNiN/YDPWnjT4ovMnBdKuyfcv6m0Cu 5LHbJOErn0v71rLvNINkruTTIfFcpFzG7N1XmuHp4eFLDqGkPpp935U2N0Oy X3PHG6LnvUqTPfvI+6x0nofUDuXhBZjHnF/fBDfP7z/ev5rkFzXvzGK9FpB4 atF0T5OCqwNMTx74w4a9353/hPGIv8XathgRnhXYb1cKKaZg4T1nK3nCs3ue aKwLSKbgYNHZl98Jz/KVZtn5+lNwVdVlA1EuG6yCv3p7H6Sg9FONiqGLHKBX xMkdP0DB/RaBWLefA4u0XlubRFEwq41X89iQA+HJk7HyJRQcOLN8d9p8Dnyd 0n870EX8vKt4waZRNmwbdJsQm5uPWd47q1TesyH5DMO6fEM+5k9+OCNewobu oals3+P5WNFxUt2Q8O3+tX9ixk5R8O6kw09LXS5cGT1iU3WfgoELLdiukv// 92HPlJIaKJhk96oODnFhqOmW+j3PfJQseLOu25QLuy9jymerfAwW596JXs2F vBUDEvpr8nH0oPDPyoVckODe8g+WzcfT9PdH+f9xwNkHP9eMkPsu+rL1eT8H qpTcXQLrKHj0t+970XsO3BQu6nUi92O2iJ3uec6BE9Gc06apRJ/lCX9/5XFg /ZbgQc0ACh65u/jG7GQOzPqx6tzswxRUlQdD4S82dDYELKzeVYCqUcPV+q1s sPlplnb2XAGq/co8kPKMDa8WyisvSSOf3W36ft5ng6Hxx/tvqgpw//yo+pR/ bAgsiVnqJkeeV55uV9XPBl3l+6c44/n4TTNM+K2eDZ8iSuh6LflYpv+f1eJK Ntwa4PxOfZaP0ZtDODvJ/mBp/8l0KjMfHRNWp7QT3n2usemz6GUBOjk/VWaf 4oDa7m+T7Q8L8KihaU6JHQdizmXJDkQV4LEZfN2sLRwYvGW/YuJ0ATq3ODyJ 0+aAbcWMjZJWBehS2LX1ojwHnnws2yO3tgDZsxJWfa8jPGW1SWpPLfGnZ4aO Hyq48GXTpqi7DAqq+bTGv83mwuOVm8T7blBwr0bYc2YCFyKUNoWsO0/B4Bat oYwLXLCbuel3uB0FL5Zsb/pmx4O3eeuuDVtRkDW92iRIjQe/DHysApMoOGy3 I2vGKBe0XhTKTif96iv1ChLVcOH+I4nV5URvevNqAxPTCU+emjz7yjwfL55a F2jlw4UTq0ZYnPB8VHiy6kc24d03pd4HFWIo2P3f3zKLBh58uBw14tBGztcS ssVyPR9eqMvt67iYj8yJ5zd4yoQfzvcWfdhHnlf612s9nQ+jVaVSbfr5GGC8 dVNtPw9k5se7tZD3tx24nGgv4oGW87GXTQMU3GpUfSnzKQ/+0387/pVNQccR cfbsTB7klm3K1KFQMKgQFAKiebBnW5G5RzQF75wOcek5w4Oxd6qj+W4UrHPr NNDuIvuf4iOqycoCbLvFnvAtJ/cvyFN+dawAe96wXrxM5oL+lsIE89QCfD1/ /NIp8v1H2tsKf2oVIPW3d5Yfl+x3phZvz88qwORPfa/DSkg/jth2DfXlYxDb 9UtiBhe2+h+a8mDnowvjg/S9aC68TXRR+pKfjxZpB9bkn+XCXoq74fHYfBR/ t2TXmm08MB/dEre0oABn3md0Bq/kwXTjRek3rxWgjN+uAPZ8HrwI/lEwy70A 5S3b5ylOciGwUlgeYl6ApyRK2yIZfGi8qLqH2knBqVmm/Utv86HK9lChRwUF k2V4P0sv8YG26sZsndsU1JY7IGHvyoc7kmyPfqKX5ws/zv9G+DiyU4xDsaZg OytgbMcEHzb8gehVCRQsz6qm78vnQ+XJ1oM3f1NQuJjGO3eSPP/jjffZ/fl4 xqN8mnSVAKjlDku7yikon65moztdCPkFOZe+n8nHv2PnvNV6BfBIbQG1eEc+ 9lq9jFd8K4B7d8NbzizJR0GODHVOvgBS5b7PXD1K9seyZINF8QKwec0bdOdQ 8JXtuksJZwWQr7J67/pHJI++NtWI2wtgWkAcY9olCvqHB8leWC+Aw3Vf5YX7 KOj54v6v9HA+zBsIUFlD/OHHg7lbD5jxQbtbZY19dQH6hOd56RLel+dEu5hL FeC+qIBbKVF8SLOL/FDVk4/GVy1e/PHgw/K2MAeTynxcFLf4i6sNH3KPX6kr Sc9HmdR8UaGOAFR79owFvS3Ake09JS/nEt4va12h+qAA339fmlY3yoffiacO vA0qwCeZh0J6G/lwwu1HzJl9BZi2J8VlopwPdRvDyuTXFODYpQuhH4KF0OB9 pw3I/LlpPT9c7ygEs8WWJg/zKNhQO30db4sQHtf8uSsRQsGdlyxlq5cSPvah TZ4k8+07dTUrd0QIt7Wf2TgdoaD6PcPuLnMhzC7zlq3alo/WfknRk6fI8/un fww+WIBXdLrMjoUJYW48Y2LrkgL8qqHiFecihB8D39OuDefjAdWDyU8JL7fu NjCpf52PVco3S7tVhVBJPf9h6Z18FM1bP5D5WQjSKc+SducWIM2/m0qpJnzN bPTLvViA11qvezEeCoFeO3JI3KIAFyxWT3S6L4IzEhVqdU8p+OjqyXR+nAgu tmhHNUZS0PBXPmVLoAjCilK/tNoSPSpMEzik1cKPQIbF7s8UVGi586YxvBZM ktZrXiLzfebe2pf7vWohPLtiGs2D8Pk+jZGmu7VAvRhHudVNwb83Dx9buLYO pjZy0jUxH7/O2VAcKF8Hr92iPu79QcGiJ1IRiycJ32VZHc4qoqB9/d9z6z7V ws+/SvpIfu/ENP3T3oSXzCqNzn0m+bgrcTWD51IHLdmnP4vHEj6gHzr3I7kO /KIeCv48I/nKWC0fM+s9tGvN0gwh86aq+LM3lPCbGkip9+vm4+3GM/3xI4S/ ImW78kQUFJ+9f011bR08ll4rXEz023J8TsewTx2cCaszXHSoAP91xswW96iD Y+ojpyY+5WPDD1ZYr2UdKP8U742JJ/OiHXOwiFYHJjzp6pb0AozdeEr327U6 WPMkoDFnYwFm/v5YrEd47B57XtrlUwX41ORyZcnDerioPtdDVELyO62rcqC8 Hvj7dynWlebjBK7RKBmuh2uvN8+9/o74My2OJ9ZdD7tbN51hVucj7Ulj7syP jfBl/3ufQaK3d6+1dh7VbYLJ1S3T83MpqHhiXlHYz0YYcVyQ47AlH6U/r8gF RhP8DRxx6CB63VIldVp2shG830aWTvMvwDnuS5JkJUi+b0S9g0eoaF/5ZX/E MBseGY8eXQ5UvKtYovyL5PvW9dkJfWpU/OQd2u3xhg0tRgee0WdQUeuNVUEH gw2+hrMGAr4WoLfKIh+7DDbMNShftE1QgFMl6FoVyIEXt3JznzcW4GHfGwWS RzhgZ6hoOypGxSf6XaMWmznwWRTzR3MVFeVHDEwSVTgQ7D2Rc2Q/FT/6GcTN EeNAgeJm2U8hVOSpSXuyutnQdcHfSJhNxaeiT5aH37JhSWPRoedcKj68XKYj TvjAfl3fZeooFR8LFf7Ye3JhvO1KsCevACULjW437OLC1fJrz1dOER65am/o sIILi9Nu/vdFl4o5bueFzWJcoF3M2JZ7lIonsgdTRsnzzt/nr9GYVYjTWiUf 9BGem2cjq/6pn4qZsstoHcCFyqI5Shnk/ZvNNpTVr+TCORlpmUM0KrYE2dZw 5Lmg6jVzmkISFS/QPWorpzhQy5H4JTpHxUuLJl+u6OPApXu279XtqSgR/V9I fh0HHIajXjxaR8W4UYnNawifGZiW56srkfock55kEj6TuTWU8miyAO9yZUuN CZ/1fVELVW8vQJNH3scuSnNgIlPcR4xRiMVHlkUYkn4WwNY6n8ZCVF8gyh0m vOrYGWTY/acQU3mhHGop6deVpyn7VGkoHaU/dIr0r3Lpj/GanTTckHmeHzOb A3K7N0zMzCtEiZbNoZsJ/81XE9u7Mq4QRXIzDb93sWHe77c5lmcLyX5Q25sj YIOsKOmvp30hnopOv3O4nA0yeQ72CcaFaFB5Yrcs4fE5l5cVFC0pxETpRAPK eQ7kv5p/Is+Ihp1l9eclj3KAV5+bbaNEQz33JSxXCw4Mfzbp+U3OG6bkOvbS iAPzf4vUH3UWYt1biqHKcg4YzT553Op1IeYOi4+5dXCh7kFsbtdxKrZx6xYl vOXCpoaDrRE7qDiP8ggf07nwcJbWXA0NKppF+p1qT+PC7M3j295IUjHI2SxR MoILvmdf+5/6TPSiquzntpYHWfFa9neIXr3aZptISfLAaLxk4+tNpJ/2oosp bVxQPjn/EcOXiv6zoHPsMRcKz6T+c8qjot9z2k7761zY4r/ksHQbFaU/LKgJ m8eH6SdDjT/OoWLnkookvQ88+HNh31TpPiquey4yOWXCB7MSrutL8ULcu3lj TI4qH2xPbNrr3EFF94oHdd0z+eC4MN9EvIKK4Zukl6oN8eD0W0Xth7epeK/s vLtzPQ98A6IXbPejYkqe8S7PCh6EbSwZ+WtLxU2VsSe5D3kg/bb00yo9Ml/N 7VGrYnmQsu953eG5VIz+rpcT58MDla6q19cGC3C1dGT1wEEe5J19U1LKKUA/ XcOVwlYu7Itg7l3zpBB1djdldj/hgvmrSP/wL4XYeTp44QThtc3iDumNpH+3 opclzCF8tRZXVulYks/XlCaftHNhj5Spr0t2IX6wkFo69oYLRw46LV4aRfQp PbltLemPe15AVeuJQvTgfD3hSfpz8efN07d3FiIjtu1aXjgXIs2KZfdpFaKD kczJPnvCpxvlmQyi16Zu+5RNm3lwblWljK4mDR1u3n0Vv4IH9Spn3CmS5M9N P410zOGB8bzFNeq95PlRrWX641xIn/Z2eWZ1IR5/4Y2lRXyYG9F0v4jMf/FV wxufbvJh6eu6Ve83UvGP3cQn6UA+rJkuKP21gIq7VJ4bGB3lw5btbDPlkQK8 +SUswmk7H/ZEVNchtwCbfs53ntAWQHqGeoIGvwBfzTD48rSX8FuO2tvQlVSU XfXiQkoOHzSq8PytMCqOSa94eceLD+2HUrIahVTcv4cp2PFHAPGTdrpvvhXg iqlCtcl/AnCjb3WdNUDFof0pT2M7BbA9p2L4w0sqlhUFWy2pFIDa3Q0hjBQq Wo+qUouzBGAr8N0a5070rnj2qk4EeV52Skl8GxVNNj87kXNCABdtoscuEH8x cJHavtxcALE3ZAWDwwXI/TewN+sO2SfWFhry6wvRS8v16G/Cq3dnV+4MXkrq K/f5aHIeH/4Vr3TenVqINaUVTJ94Pji9LbeV9ilEo2M3Ztj68OFZx+7t7N2F +FDy1GG9A3xY8vOD0VXNQvwysSbpzSIBLOOXrlI1pKFf9Mvqqb98iFi+gZY2 m4biC2wmjT7y4Yvv0zVyPcQvHnxc6/WaD7vfrqfHPivEbx1fcq55C+GYUFpf aEpFDWuxAOEeIaSHOEe0K1DR6bmSpYKuEJpWPWkY6CP5Ozwg9L0nBAOm7NsW Mg8L3V91Z+sTfgvcdiOmh4qiOPBZjyLw6D9YZXSYitkRbuobjovgUeplNUoL FWPzvbqO7hXB86ZvMiseUdFH6PcgykQEjUpOvzO9iD+HymitWimCSaVBY2Pi D3k1RRq9C0VgyD3NmDGL1Hu2zYpMCRF4hvTqNDYU4KT3XXWfAMKX/GL3CqK/ 9pyhhf2LhZBzITVJ14yGtvlJMy0ihTC+8Xzs4oeF2Kf+XOGaqxAyE7+6VPkW 4pX7X9XZKASLbteNp80KceEiJQOpZYQfjdvmySoW4qeBFXvPfxeC3gpR7PQN NJw+PTeokyeEyPSOXDaZB43FWrlWFCE0y317lfS+EDtSOoXT8kWQXni/5KsD 0d+yxlf+KSIomK/HC1hG8jef97jvigjKLlR1z/hSgEviO1/aRYjggFrVwb3d VLyzf5m/XUotnIrLPeVIeCLGm5tYEVgLrocsmPvkqHgx5iJlxbFacNIa/GvF LsB3rpvmZ9fUwqejvbq9ZH5OrrJ+eNO4DqjOEgvsW6m4Psr8qtaCOrhzbzZ3 ViAVNc/++fXqRy04d697IiQ80nBx13yVxloobx6xekh4w9TCwvNRax3Y5c9W enWwEGX/NrhpttdB1INphw0PFKKg0L/4r957kL1cvj13XiE+O9zi0jLjPQS5 nR8L0C/EVzdUpxcaNcKKG2uzyog+Pn+wuhn5XwMoLpQz19CgodqkiuoXt0bI 8m+w6d5FQ3PbXo5mShO0HWgsyLah4iJ3vxc08tm6endzZCThiY+eN11/NwE/ usOKTuq5UuEHq558blw4rsQPoqJCQOq4eG4z7NwX3uwyQkXVXV7TjI80Q7Lc cd1xcj9W5CO3UsI/w4KSjRktNPQ/GjSLMsiGI/ErwmVf0NB4g23h7WY2vLFI 4YQ9pOHv+do2MdVsMJgpIf8jmobPBv6NXaCzIaPa98hJTxpermm4ffIeG6TC ux8176XhF98XC2y9OFD8QJAh40XDOyaWi/7u5YCpl7Pcz2QaWk5vVMkz5EDD +tHojjIa/uG4qNkpcsBdPPLPm480PLNEWcH5Lxv2SnRMfydZhOoTxktnEx6Q ZKyy+76yCFvq7bWeED6rcArMWmxdhNcZZ/VcaGzwkX47tP18EWpUmgyes+aC q4xV0OgFGjru9Zf4qcuF3DDj7QmPaHizo0g5WIYLX8fV5miLaHj0yz+rIScu fHauaq28WISK99l5yuZc8Dtuo845VISifSnTdhtwYdrJTs/3JkV4bfYxp0Bl Llw/7V3yQaUIt71aWZo3gwvLPKf+9v5Hw74+9v0F3wk/lPvpmHXRkBMp3zDS xoEDeq+MttTQsHC502z+Gw4E5MrCOgoNE57lbstncOCuspOFbhwNzx4cuRh1 jwPPkgvsNbxpaPNjY5FLDAc6Zk04qdjSMENj6Ys/hMf6Us4t1DQsxp8f3b77 f2cDvjrRa3CgGPfeo64YaWLDneHDJRBYjBSHUQePF2wYVraJsLpXjOLyG+N6 stmwy9LM7tDLYmy8/PU7h/DYVcmSu6BTjPWUrK/DhMduFoct/zO3GOvqDnQv 6CH9PrQ398kYqcffOR82ithAma6y+nxzEQo0X9cffcYGJu0rQ/d5EfJsAvkR FDY8dyg17n9QhBHb3Dw1fTgwsvuJlM/jYnTg7eC2O3LgtpKtTGpaMa5y0Fh1 y5wDW3sH5lWEFON/nyTjrAiP9TKiF3x0Iefx+vx1OuGx+MuqSpI7i/HS60dP VD9yocy9oGN5Pw2PU3urPNhcqFqit3WYTfR1U4vPYnKBzX+c8byAhvrB7s1/ 07lQe8VkKo7UV+k4tdssigut+lWOh4k+xXZ/G0r05kJX985n2nto2FxXxg+z 5UHsu0t2d/fR0LCHYqOyigdmh0KY9tdIv8Zvvy+V4IHY1xA5GTIvT1e+Ln1D +FC35oLTylEaut5K3272jPDicL9ZvGoRyoj7CV4T3riw2GnNsE0RlnpZHTK9 yIUlZqKFdqFFSOm4kzi6lg9pXwJtE91oaNeSo6YjzoeM+g3e/Gwa/n3PfOJS x4MHVb9i5/TScJ6soIa6gQ9eYabYSp6/xH3/N3gpyUvbOrEexyLsi2kxtJLg ww0116pvG4pw/45OD+WvPFAf+x72a0ERVon1PhgU8uDJ6zBT8e80pMpcax17 wgNmwiaVJwIa1q6zWqdxnwdRa8/WZxfScMJJ9vqBKB4crH0UdzOWhkuj677G ePFglW+zafhpos+q06VuNVzoPTxUdp7ojxn9+dG8bC5EnT9YZRxZjPJWbknP CF9pxL5695dRjCEbVl19JeDC3DM79rLkilHGWufg/FJSj1Xv7l4j+rp/fKW2 8wMuaPfv/nysvgjXBGpPFMVyYV2eUH/94yJ8maj1bsqXC6Yn7EPmpBZh6gOt 6vId5H6gIfm4pBjbjhgd/b6aB/RD8mHSKcW4fOG2CS0FHmzxE5865luMJ0R7 ko9OcYGbOBzw2K4YC2IPr77Vy4WD+e0/pA3I/Fj1FxkRfpoWP8M6sJ6G/JPs tGfX+HB8KGJdZRHRV1h+5A5vPlTbiKvMJHp4l37tLM+O8BbrsoT1cTLvzhIu dTME4HHjm/nnyzQcswsL6ecSPjHpqOAJaXgi/J6xbCp53izIqmpREdZamkyX PM6HvJlSYi3HinDRKw9OL08Ayw8c/rWXTvx05/srB38KIORc1QEp1yLcIPq7 dEmDAFQH/C4dNyJ+dEjzRTtLANUntB8+n1GEB0+p19BuCkDasqryWivRZ/ph jW4/AfQuYmUg+T0F0Y0opQMCqOzPDvoVRfhIgt27x1gA98pSHYqOkDwyknX5 mc6HHapBL+Xti3HbvJ/dvz0In/2SDDmUWoyKdfTQRMJnzrGzLqsuKsbbjfJr 6HF82NpQMtU2Svyz7UJb7Vk+KC93CUnlFeHtzparY/Z8mPSQmbLJLcI3uw69 XbZUAJdNHxwbryjGGeaeJoZiAhjf9HR9e3Ix7jQPKd7ZRfRtyJepcS/GKPMk 9cPVfOhZ1U1orRjX3Lv4Oz5UCOqVBjanOmgYYXJ05kMnIdi+WRTrS/rT1LpD 4ekmIYTyxKqvkPqvDlqlzlMUQlHdl6k4axpG8twNchqEsPDWDzsdkmeP+hsM ZX2EcCjeOclqXhEWpIW/NSG89OHx+13XYopwvXWVdvE5EXCvzM4aciDzX9Mr 1X1MBBvXJ/k52hO/syv7mWchgtiqKN89C4uQPXRs/3IjEZQrh1ivaqOhuhT8 U1xO+O3Tms8aZJ5D1Jfmyc4hz+d9DFl+hoYdm/SGjl0SQpet7UY902JUeHtU 1kdHCP4Na9+XMIvReMhfPILwmuux06lmGsVYrdzHQGchnNOdtTOIzIvt7sOu /0yEcPlP3nhRVRF2BPLknpH7xrF35XQnFaFY8UK1n39IvdS+ZO1lF+PQmYrb A++FkKq3M8+O1LtttbPMJ6oQpCCHtv8ImQ8TupbdQ8KrwSfXnHxHw33OB0el 4kTQltA96XuVhlsvCbsKA0VgX2HqX0D8Z4V09rgH1sKAzbqDBhuL8NTKV4v0 VGvhWvwsoWc30bvU4wVlkrXwr9P82t/bxB/782RNv4rA1/Da9gQrGhaNXJjl clsETukGr8LPkTzTd/c/TiH8l9C66vLiYjypE3fdLkkEdZswJ6ehCBvVaNRt F0Swpy9nKf96ERosVBT8+yiCem1u0y+SLwzeoI5WtQiYj2rkK08Wo/WF7q4o 2Qbw3eX0Ms6VhjJKa+NvqDdA/m61c++hCIdUZF+kf20g+8Hic61BRTgj7lf4 wesNoCV+5upIOA2r1u4sej3VAJlj3RwpksfK3z535BBek/qnNSi0oWFlV2Fm 8uNG8H082/k3i4bDcT33p+U3Qn1Avt3YtCJkPqSP2S9ohK4+nYfN3sXYP/Vr w+SKRij667121ZJinE43T9Wyb4QWOHL1P5KHTLfVXhozmuCw2Mda+yqSb/LV 32R7G4HF4MpMEL65ct4wKqGsCWyOLLJ7Q/KL6RTm84zw4exb13KuzizC84sU vBNfNMGCZtfIE+Q+129E+XsebwKxLB9FhVAaPtjS61k20gTPn/aqvnpF+nHq lMyCuGaoCZ9YqkX8YWXEi92vLzTD8oE/FkEkHyLcvT0b05qh6OtxPZFtEb4z 5Oud2tMMf7qD9T5doaForqYSo64Z2lx1FGJJXiQsVdPIluDA9tdB8d/06Bgr PKP3e4QNrvuybb3U6RgTWmZi3c6GsF7+wgEFOkbqS+56xGZD1oVfbe6z6BjW ZWM38ZgNl2VNTWvHSV7cvOe05yHhPf1bPEFrMT4v7dH18CR81TmgrjlSjLb2 rU7NNhyYe1MxzFaajr3fhAk713MgfP3GkSRlOgZerXlesoQDv1oOHxOsoaPe 7ZPPZkzjwIL3Jq7nkI46nB3X1vWz4dHHzLdBtnSyD6sdcCN8YzA0XTfKlY5L 9cTVbz5lw6s/p5KTfOmEHzqHq+6zwVaK9ystko7bHQyCwly50PdDZhA6yPlK lnto7uDC/lStb7+m09FYTvYwV4ML6w3Me4RKdKSfnbI4N5MLioLTbXm6dDRt /Sg+8zAXyrvX/skMomP+U6/5+8jzB3MkHpd50nHerYnlD9Zw4efJFu/3jnS8 eD5Sb0iJCynaRdrf9tCxY+88NJnOBcOv4V0zgI6O3/pCRr9xQGnvaKQ7qf+i 1LOqc1s4kKNirzhfjY6NW39Wr6zmgMEgK79Uno43v1w6bVbMgZflCzY7S9Jx 7/Xpc1zuEj6TG7gnO1SMczbGFl+K4gC9uLDqaG0xvoa1jR5/2DCyseE3vZeO /CP/VRp3s2Ft5Ea+9U86Nl0UUiW4bPAWZGQNzmDgp5uZqbVMNtCUpvnFKjJw oPhs2P27bBh0PblLW5uB2TP/yGn+x4aBZPHhDj4dBWP9prkDbJA4NGAfXEnH ic7m85pkH1FZ1lCqyKKjKu/tw1yyj6zvfaFSkkPH3aVP6jQZZF+gUsJt7tDR LztnWl4GG077JH8ZjKXjzoufFOovcGCb07DrnOUM/Gd1yULkygHb6K1a1nIM fKKmGMKz5oBLccJAkgQDvScY9HebOODT/KG4ltxHU2DVU63JgTDx1X7y/XTs fPRFsUqOA8k6wRv2t5HznNvlWtfIhYsZcTlpa+l4zFH37bJKLqRm/KmdvpyO Gebyq8/kc+Fxhue/M/Po+MHo9/XyZC7UZ7TpNIvRcbFq5/jMS1z4YnK7KLKr GA/6iuRXmfBgrX73RvWfxRi5o1L+nCIP4PECx7ukX8UKdPnHY+T7tcZL1FfT 0cf+y4yqWi5cnZ15wXc7HX9WPcDTDKK/0AjP/EN0DNZzDJK9wQXV8VPOnWfp KJa5sOTJOS4MuVvtV4imo7b5jBtfNvGhwWV2nlNzMW45xDj7UJYPdzg23T1S dLTzcLR26iH827Nk7K4WHc2SHuW/X8WHjsxeOalAOlIzQm9IzOeD+6e7SVkn 6Ti/0Clw3U8e/FCzmbNhHx0Dyje5nGzjwRU3yWvCbXT8UZj6/FAVDxRPmccN knrZ6fY8XEfhgVv0+w35S8l80PSvzk8i/JZz9PMJGTrOXXPlzDd/Hvy+9l7L bKIYvYp4dmxHHtx81x/+oqEYA14O0KfIPrCw33uU1ULm4wnD8EIVF255dBsc HqbjBdrFJ0OEJxcMOviKSTKIPrZsPEV49OYZHit3MQOLGsUagj5xYSfzv8kH TXQcOZGV+JLDhQ/sFMMZ7+ioPw7mEiVcOP9ppZdHKR19IzvFLTK4MPP3i2wB hY4l8lcqEqK5kDFvX7tBGqn/w6X+dWe5YKDdr3D7Gh3fXV7vHbWNB4vlppum LGKgUuDBVZdX8uDV3AdRC6QYeNo3qO/CfB54zgZ2ygQdS8/cyzn7mwvys9rn KPQRvX3oOpNZxIeIUBFD1YCOrg+izlsmEz51u32RRur1+YT2xXF/PoTtOrpl 42w6uutwg7MO8UH8gOWM2OFinNXmvVdeXgCH7DdxvxG/PBzZfXR5Ox/YB5pV wlXIfMkmLl2YT/hUouHtFtKf3Rpu6SWBfNi1gub3xoWO9zdtUrK35MP5HVGq e8PpKExh6jV+EkDWbb7YOvK+nvMTsSelhCC3431HzBU6Dpqdjuf0CoBRP+y+ 4BTpt1JzwppXArA5MWc8y5qO9X9cCt7eJ/w6tvqX7Xo6xtdWGdpfFoASW+m/ WWReduSpPu9wEsC8TImZlUR/fy6F7fTYIgDZrx9Vhj4X49LWFrOQRLLfbBB+ Nv5Bx6640C4HZz7Udg2Ff5FnYBO78ePdDD4MVe/QWPmW3M9DMPUslA/XaKX9 B4h/LJrzZnEn4e0VqauLIjPpuJH23Fh8Fx9eXs46z4yjo+zm5WnzFgng+Nh6 ueElDJxXb/rn0W8+2O/wMTtC/Gy+1wkn41Y+mN6iBrwdoaOcxNWXnHI+GHzu pRoSP3Bs/fZJwlMI1K1xkc2qdOyrmf11nZkQZKVPXumaSfyJsXL05DIhfCkI +9HcVozBDVpP034KYZ/x8vHX5PPMiKk/p9KEoLTd8V0nyYf2rGaJMnMhRCb+ 57nzBB2LHh0Je7NHBPcqtuftJ/3rnsqflnFEBD5i9VFbyJ/ffSn58O82EVDO KxvPMSXvXw6y93VEcCiJevIHOY+ymMhOd4EIOgx6jdRJPtVmZlTRfYWgp9p0 5BLRm2PnQ7F3WkLItU6rSVdmYJLSdVbdZSHwsuXitEV0dLGXPL7eQQi323qe j5fQ0SAxSO7uWsKnck9HXhH936xvPNLSSPjygnV72hwGmi9Q+yJVIITBMl/p hm90fDIbzxxIF8H3yYYKKZLPp0Y3TyiEiuC/Oou5m74Vo+QJhaRxtgg+S51e EU787pK90vRCfxFYvn7iZhpDx+drNO3W7qmFG0lolUT87O/Hd0ti1WshQObd oaNET2u/BCn7iNfCkquFvbGk3qV3EwK23xRBmNsi2QIG6b+s0e2d5PdK2j5e DL5K7r+VueBLgwgWXzDu0JVh4NDJWXvuMURwY9eJwQOkn/f7jZMvDNVCv/7L FvtCOh75qhLMaq0Fi9QxOz8hHV9ddtYZkyC8aOncf4j4kUeyY9fqznr4eW3N BknCE9Ofa672Ta+HlQHvpmb0FeP22rm3HmEDxFbEDGmS896ujNG/t6UBbk8z 0UvZQserBwPDR1UbYNPoMlNzkkd1f378TZNrAOMAiefZt8m8hUUaBpDvv/le Gx1RR8eG8vTcSJcG6IvK7JQg31c0PF72daIBmjvEGlK6///3Qw0rbqo1gq1y UvV/OnQUXxo6l/eyEQa3RrkYEL5x7Vj44kxwI1x6bHzPWoKO+3P+Zh/IaoSI hwLWP3K+P6UZP978agSj6xUSjnPJ923KvWkdjVChY/L6bjwdM80H6YO/G8Hg a3KdJJPkGy4dW6XQBAX5Xz+dI366JXZHmq1uEwgyPivcJf6G+16qOps1Qdtz w7hHxA9d16ydpc5pgnjt/yofEP1vTe3P9fncBDE+h+/QF9BR2tvJYG57E5S3 xux/Q/xktvaJ4wH+zaCou+KM2wY6tlT/CxZPaIaQB38fPjlIxzyXOymx2c3Q o9DQPOv/+fR2ipOKzXDH88az2M5ifI8PH8490gzekY7JS8nv34h/c0vwuBmK qfFdsh+L8eV0javPBM3gque9focc8bOgiKCCL80wKJ0aHGpEx2lZt+2eTTaD vtO2e5+IX/3unJGy+3IL1DxznfNtDh3//dOMszvbAsu7wpwUiN/NCCnoSo1s gd4TIzMtCc8VtTps2abTAtnr1qRcJLz4b5vYmY/bWsBA+Ht/oSwd9+RT7l05 1AI3Iz58Uib8VnA5dmNteTN8eF+2OYv038T5RtNfYTOIaQ2NMsn8cbfd8dfu bYYVQWr5NbV0VMgr+10/0Qz81APbOYPkfLSvK+bOaYH3i5/6681kYHvJEptd y1qg5b4iJVWVgWYe5j/D5nIgr/ruXdVAkkd/zlC1Cd8ZTxSeb/ZkYFz8TWfh Fza8W/XSMukoyUuVMoUL9Ww4eKxWbact0WdRB0e5ig39yd2Tf7czcBwkQl/T 2BD4ZryOtZ6Bi2pXrvMgvCc9OZPqsZKBF2s7/wX4cgB8XR0nDBn4LjL844bD HEgcMxmwNiPf36DxagI50O6rEJRzgIEeA28flWpxYPWPoVl/TzHwvtK/+cHk vKMiRpMNOW8WBnfX/WRD3Z1PlknXGPjw9ESJTicbmM7zX/DTCF9e948Of8uG ZO1t+nMKGJhbOurQWswGn5Fz2ZblDMzzqYrhHefCvqnJIwVrSX4cm1E9vpML ee+usy6S+8y03i22TIcLkzc1Z5s5MHDD5uubzWW4sOfYM1c5Up83AQ/WdR7l grnXvp0uLxnoNHhF3sCC8Mj7Z38v0xn449jR75GGXOjdqMG694DU8/1mYZMK F1hZCe7lyQxU27WEpjOLC+Ezfy5rjmDg6rb12a9GOYDDd801/Bm4/Hqa2cwO Dsy/HCfWf5KBC8z+ft7N5kDXnEulhQcZKDV59Or1Eg6w0r3OnbNk4FRR1cqG TA5E6DhpG21m4OjxFdxFcRzYV7bn4y9dwr/abY7asznQN5jUsFeZie+2z4mY HGODSdROi02rmZh8dEs+7wMbElWmnq3YzESnQG/h/Ro2fHrM0pO1YqJWSub4 uSI2GFl7ZP8+wsTA1fNsKsnv7dNdOjSmyMS2A3TDaxOE/68UbH0lzcQtYTaK dr1suFq7Pun6FAMzqSOTi+vY8FD9defREQaKN17v6H7Bhmf+e/V0uxnoJqb/ qpDKhsa3baF/Gsh97/ecTg3nwDjv8PIEdyaOvPbUq/bmgNf8yOER8n5e/+iv 70Q/3ftpL/ZZM5EiG/Ry2S4OHL7bmFCKTIxcJx6zx5ADtR3/OSobMvHYkavW wcs4YK6+cnWoBhOLji6ZbG7iQt1VB2qFDwNr3WuYMoQfzWdXf17gSvrnd9bT tIALLxL01LztiL+GLlpx8SYXjOZlOL01ZeCmuNcfqITf85Ol0pYTPa+BF+kO Gwi/71RUOreVgQxG8rOTC3kwdKJ+x4v9DDRacard/wcXaFE3fOacYaD9vxix /94Tnr/vIetA+q96t/Dnisdc4O6+sj76DgNH1tUOWqZygT5x0+kxjYEvase7 zl0k+18OJbLnFQN/UyIOfDXkw5Vl65e4GzDwxFTZmSZpPji0qCzLsCbzaTsS Wf2JnOempHqtBwPhTW1fjy4ftot76ndVMNAiVeS8WY4PCSNvnXso5Dwnhc03 Cb83dq64/vkW0fN6gc1AKw+WC8Ne9oWTeYpwXgmVZB+RkN105xwDZynlGdzN 5UF9eJTXX+IPXoXfTMbjeXBa/O995z0MFKGRmY0vD6aunK+tNiH3bwiyph7i wY1/fdNX6jBQuOdkcCLh7ZfHXq27pkP0WLWh3bSQCzILf904AEysWjcbfiVw wZG3akh9HxPL89uzqISvC8KdLb+fZqLsrvwPASIunMQEWVcZJhZabFNLLePC 96v/9KhEbxZWLadYD7lwqfas3Y9vDOy19qGJ4gi/L/7ku6WDgeG2UmPf/LiQ 7Gp3K1rAwA+2O5l2FjwIDHnl6uTMxNGa8pw+PR4Id++vTdvLxFmb1qZdVuKB xuI+aNzKxKVFj+IXiPEguC+oSG4NE9epKYUWfOGC6ImMyl4Vor+3uVbVND4U 91R9nzjPwOj+/5ZbXCf8Wkp/Uk7qdXX2oXH+eT74xmcGXyLzG6vLZNvt58N+ 50TcSvzz27nSlRYyAvCu1LXr2MLA48LfdfqEP9kNj/XGnBkoWbPJo5/Ch2Xb u/Q4pD9q7us9ioNJ/7etW91M/AZkDDz8rfmQBFe1PlcysNF+eWFntwCmJ3/M 3ryb+J9O0S2vhwI4rKHmqxtA/Oyod5njsAC079bELChmYPz5Bz233gng5o5f Nn4pDLSNrpcVPhDAf0Pai+uJ/woUe5/MvyKAE2/PRv92Ie9jX6/xchRAffrd krXkPvSgzfVvNwpgx7marhNEn1ImV0qM7vGhTqss7P9+k/ft94HMs3xodzjo 02TJRLMsv99S2/nQF/PL2Y/Me0ix8QpRNh/2yfM+XyP9pbJ12FnRfNBcnjQq nGBgS7eKt89pPkystvun0EP0+G+evCnZVzgbFaQdhQyUZ+u/C9IWwDpNI4/R U0zcZbQbFWaS+x7+83W6LRODM91Ki3v5cDnxlafCJiYWS1/Ws6zmw6NX1wY1 1Zloft/unT7h41kJv/d2nybzyFBIC7AQQud/4su3WDHwdk2z+0vC80/OS4+k kvyITdOctocuBFvOAplbxxgYaqG/LstZCMXpel6WqaQ+FgPXbBcKIX5HBdqw SX1aTS/89hRBs2thhOU6BnrXLR7LPS8CKZfvddZvGFi5kKXWbC8Cx8H2of/S GXhy/ZemvnUikLd9ItZD9OQVJKE6XVkE/BsvAu33MvD8C1UPlWkiuFr3ZvTV KgYWV7qntx0Rwo8P+0/uIvdTWa+yPsNbCD9jXGf6z2DibYjuO24qhNCnN60V +xgoZzF8V4ecT+pL9a0ycj6L1oUSerVC2LD4k9sK0p+vSaYT4RlCiHmeVk7R ZOKNbTRNc416kHsWcO8j8T/XQ3PFG/bVw37m0mBdkl+mOw8/GjKth88HuFoN xE8WsL1q1ko3QLdR0ib+agaGXdacI7a6ARZlFIs2H2Gg3dart6p+NcDRS3Pl svQZeIN2KYgt1whuHh6LXhIe0FPy37ZzuBHuhieEKO9goM2HGQmmM5rgyscF DrTjDNx8+sy66dQmSBwZObWe+E/PMc2PX+82wdvl1j3KScQ/dVxynIqaYJJm rl+Xz8A74+keoqomWG2y/XJMNQMTg7/9k3VsgpKzrt7cDQz8+CPEKcWnCWye XplxkLzfwHvuM6WYJhj8d+9+jy8D3VU2n0381wid4kejZpP6CiI35mm1k8/v rAy+c4lf9ipnTY00QlxsX/maLwwM2imW9l6iCYytIrd7TWPi8WllPHelJqih DWywI34xFbs621unCebumvPfvPVMvCOfFey7uQkcPq6uEZJ8M7gnbx9g3QSZ gXviEomeI/9o7Al71wTyeiODYiTfB5P4R3gfmkBkgNhpTvx8hb+H4nfC1+uu 33zuxsCfx+clCAlP3+nZEalD/L5QcWrWw9vN8OXI8W0MCwbqnjbYzwtthjVS lenOhKfOVZveOZHcDF16/dlxxE9Yy+3b/j1qhtSDckVPysg+/CVKRd28GVQN TcquE3+fJVPAdyN8HdlUfH8aqdd/BoKQXG/y+8ErIv1IXiT+Kmkb4jVBRKnp 97nEX8WfpWV1vG+Cn/HmavbtDAwRG2lL620C13XjtYXjDJzcsVNx/68mELY/ CJsxl4l7LD2H7GY1w3D2ycWOJL9XePhR0pWaoYznMllqwsQ/10Jce7SbIfyH Y6uCHRPr8qOVdTc2g5XywfLzJC9WvCmRfMlqhiuHm7UfrCH5dC6yWflNM9gU 5Ku27mJg8JJ91KBmcp/JoMXyxM8C+bXUC5+boblhbKPmZQbWJ/KGKmJbIG5e 6lMz4sfuOrSd8SdaoKly7NlC4r9j9KdPq/xbYFONmOohkt8hxq+0f0W1QAZb Jiq9iPDkC17a6tQW+I+/uL+d6K1gRdhcO/0WMOStvea0iYE1G7739Ju2gHDh vYxowhsfrVwqwva1gJfLLGYxyW9JC9PxiqfNIC3x9KjUMZKXnpoxymR/cWUd mjKuZeAD732O1jXNsJpF9fL/v958wvVDG5rhJ3OqjUnycJ8ffQaT7AuVzL27 R+SZuPzUpsJp482w9Ud28IQ2E2MT9tqISZD3g2VR4hYmjrHcfkzJtYBz3PDH FaSeTq2Bd/6otsBIY4p8xUkmlr17HmMqzYEH8x0eZT9l4v2rS6NX/mKD2wgj M6aAiRHmVyLn9bBBSzjnnkcGE0/P+hj+S8SGr7RTd/ZcJ/18h2Edz9lQFP8q RS+CifpXH1ypKSB87qlyQ/4CE610aLqHCP8JRxYbrfVkYlL9L1MlDw4s3LEj pjGY9Pey6cEmWw443T7TGhLPxIUrE86kbuRA9tdUXQ3yvkPvm8L3q3JgYEtl KI/GxIbFd428pDhglhRGNX5B8nr3y10Fo2zQXDM4vZnPxJTgnsN9bWyYyT/g GNDOxB9UKW9Nwr99nlUlSt+YaP9hTZgb4V+29GqZsr9MvPUzIOyFPRf4nQuN ll4i73uwDv4Yc6GQOnR0TRLxW6vRv8bKXIi7+Oba1odM/PizqNxPjAse2++X WD9m4tzFbaxITy7s+vD6vxApFtJ8u4aq93PBQszqa+IkuT+/f6UkcmH3ivr6 zAEmDmh+dzMj+4iVueNL+gfSr9CJzKgFXLD26smvIufXaf2vteYfB/Ze90qp I/erW1n0W9jPge/0Pcu86UzM2s5I0m7ggPg02Tgg5/F2KtEIqyT7hb3o57wU Jm6++LSihcoB1ewbrl1RTJS+UW5rcJsD+uN2AtZF0r/lbhGKpH4h97cUaR9j 4f47Mb0lpH48lsGtGG8Wms6j7rIj+8MSttalzyEs1LsqyB8m9fPoUD5ulsBC FbHR2Qlk/yobm2+ZfY+F2502rx4ivzdYtzdZ9SALvx4wPjtM9jnKU4U7C3ez 8LqNAXOkm+jpXlvG7K0sNLbUHf9O9LM87MEjMX0Wtm/X3jBG9PPhxKn8cXUW Rm5RD/5B9HPbUrf460IWqn4xzRu6Qvp9mr1QO5+FZWfrwjd7ceDd3JLBB+ks tJtwORp7kAO7H99/tSSRvD/0+8bmHRwQHLl251YoCyOkwhQ09TlgO83PW9aX hUuS5333VeFAA+XojmsnWBiu4j9l0sWFxUNNa3aXM/Fk5OSGTVwuUDI1xa4Q /VsOXPHbUMKF9bb+tcy7TFxjJ0lfn8GF6mnVDz/HMnF+WeyAUTQX7Erk/BYT PY8vm6dlSPj24wkXM2ui96YIJfrRHTw4rxSWnE7q38Kvnp6qzoNtYwucliYy sVXRx4E/jQfzBBStB9nE/34d261AzrNphBGjVMHET5dV6jdXc2E0fn9dqpCJ byXbHN1yyb6y8reyQg8TafF3euOucsHlzb1TNyeYWKIQ4rhgCR8kXbSu9EQy ceWw/TsY40GUacTQliwmhpfc+ze4lQ8n14Q8Fyd6/bTt03wNNT7cUQpI3TrO xG1CDQ0nST5wp/meDf5E9OboseFWH+H/wTPmpUSfypcujXdxeUCd4S4uQeq1 SLunIo7Bg82fe3jf8sj81u8ON7rNA16N852mW0yUD2WZt1/igVPOh+NVxB/m r14iG+3Kg2+RB9dSfZgo9zDtj14HqWfijNDgoyysUCs/wqrkgucWf4+K8yw8 8ai1Yt0jLsgPdu/7E83CuSv+LCmN4kL5XTswIf1fysldtaqTPE9/rPGF6C/F cc/tae+4IJl/x0bMgoXSw2PTWulc2PkgOHjRRhaGht31ZqRxISbtaK7BShaO y29rvRrOhbc3ttXuXsRCqcfFdmWmPLA19120PYOFGVsmxKtX8uCQ4P6XZfFk Ht4gQzCPBy77OI//BrGw2vqac8svLri3jke0uLPwXdiWT48yCY/6fPBnEf1I ap30zA3lg6GO5V9PUg9TXuI4xYUP/V1Pw1eEMvGKz9MrVFM+3E/XkGr3YKKM 0x05kaYAuKvPd1SfYeJOCosmN86HOQ4uBoPEj66MCcz3v+bDnjCbaHkm0ddS dbvKW3wYoNn8OlZL5v/d3Iokdz5Mz0goeTrMxJqJc6nNckKYFCqGuXsxce/W X68G6wQQt6U3d88dJs45U/Wy5psAol6K8TzI95vVjz/PfSWAWh/tfgH5Pe5O S9/ndwRgngSMmcTvIs5I5+j6CqDjbZ/0lnQmmqRwGjP2CMBPLNntfBjZ5xe+ 9ptFzmM19VTuFumf58BOFCfnGe/ceEJ0nYWiT2qpDvf5YGB+UDPakoUyLUO+ 3pf5kDj1vuWeEQstReW2UUf58JW5N4G1lIVZZ2eab1wlAMaVnVdMqSz8eJjq Y0z4P1nBWvlaMguX79ybvq6b7F/U/WXCQBYe0x+rNnzJB/ttTgcWurCQk50o WnheCErn3coT85k4VPrdopPw8o5p/z6pXSN5+K10XIUlBI/PeuXymUysiNhW b+MmhIFC+8i1DUxMfHfA8ediIWyrmyxImMnCOZazPrnsEkGtzKmcCQoTrz/i ib3zEEGUzSrvbyRPuHNnyxtsF0Gedsud62/IPrIjc1hDTQT9Pn5Oa9KYuMRs +Z9hwvdzOB/rbb3Jfrz9gfSLQCGU+G2fXHuK1Etr/i7RWiHkV7J2jKWxCJ+X Ty69IgSDgRmHNtizsL58aZKZlRBuXU3/t0ePhYpGEepei4TwW0Mv+7gMCxd2 HaSPTgihbWsKdOayMCCnQuJxuRBSihUuql1i4ZEZggNHB2phx+mDKl4mRN/6 wQ0v9eqhssWuU4bkxd8dT+Z3WdfDtfKVr88WMXFZ0DqFbfMaYEtRnOJ1kudx jfdnvNdqgI3DD32HUpk4YTBrwg0aYL1eudCK8AN1q75lh1IDGJyY47CE+HnU wk6aqW4DjNSu9VMG0p+h+Pl52xqgaKv9DZUjZF7mP4r6Y98Axb3/qBZ+LNy6 09ll98kGkB4wuHiW5E1JkMqW9IAGODFy0vQWuU/xxJd9qycawFd0yCXLl4lP l/i8F5vTCJkSx7raiJ9Wbp20bVjWCNwNbscVyfz5PA8zOP+jAW5N+zq0QZaF V4fuB/dINoL1yvM+a7RYeH/Zs+oDio0w02ZyTJ2c77FNiwxbuxGqLoRfWOTA Qg+X08b/NjSC2n9uAUfOEH1m7WkeMm8Ey9pDjhDBQp1Og8DOg43g+8ga1Um/ gq5u8d/W3/g/Js4DGuv+//8kqyXZRVKKQkYqs9dbqMhoScselVWkpSWFUigq e+8ZrqEIodR1XTbXQkmJFiUjM/9339+5r+vvdE7ncT77NZ9Pp/sG/k8kw13X sL6XLNIumGZAcHCBgAbu/8hM2THxJUwQUE5rkcF6pvblzx8TPQyoIBfw9gvh +u4I/6z+gAnks27azbVY76SGsVxTmDBUefh4CaMMUb1DaXHY/ygK7gmKwnqi Ru92dXMVE44f0M3z5yGgmy0u9WsdmCCetCnB9zr25/d4TdLPMKFBT58og5/f tDvllUIgEy6x9jbVFmB9s0Na5g/2P8Mrzgd+xfPsRChLp+obA+4ojqYIrMH7 OJogrY/f38Ot+IfFVgIqSImYfCbMhL3Zp3Wjcf+KRX6x+YP9z9pLV62CsJ44 uXvv+T1KTHAL2PBEBe/bF/NFj+K2MiH3auu7Tjy/lz9bTvxmzITv1wPWX48n oMHBdUFCnUx4Hn3zpjF+32mf97kvPzGBtUqTwY7G82kituXSKPYXGR82ncX9 K12loa/zkwlf+QO/PsXzyfDNS+Oz51lwsHugTBvvS4G4POR5iwXfbVglJ5vL UItHlKH7QxbcaqUUx+N9FmNwRc8phQWyeysLm8bKkOMy1+0nilhAfF2Yz4Pj L1UYcfIg9kPf9ta9RDh/Cjc2lznYskDl1Jzo94dYnx1onvV0Z4HXbR2Xx9ll yOReOOncIBM+5hGeiGK9ZKsTsfwi9kdFm1xKHosTUHz51j+RXUxwepBZN4Lr 7d22d+9yvzBBYuJzpyXuvzXk269qJ5hAOa40mGdFQI7p0dXBC1mwMmDH0Yd4 fg090+TLFWXB7464Z/E4ngEtLbupq1lAVRuXygwmIMEB7/s/VFiQHrrvYlEM AUXPLm5bhv3S5b4CBhnrJc3Lj8XNXuD7GdT9eYv1yYmsjrAaKj5/7lZIFt4n d9pEebexWbCpxlQiKKMMEeasLxYOsoAQKJhpj/v5XbPPh4ZRFti6R1zZi+v1 gKm6RN0zFuQzf6Ajf8tQyVU7DRE/NiQMkJWfYH0xb89oPnCSDQwT1dyx13ge CEw9P+6P/dSSx9u7mWXoSPGqLNebbEjumGuo/VqGFh7e8cA7gg0LEtwP586U IY+saWNZDTZQPq9sUwgoQ3cv67cu28EG6SLGdrPwMpRrefUErwUb3P2jks/i 571VqPoyepQNJH0r/lhCGVqwe13EISYLxifkJcXO4/nSabY8ooIFc20yZ+RX ElBH1nhZ/BsWGA3skFmsSkDvL6TZ5HSyIHjapX7CkIC+7racJPSxsL686/3R Gve7waDq+WEWnKu0uemO8yH6zE2lZJoF1lb+plp4v7G29G/8LsAGlb4o4b9B BJTy1Fl5gxgbBPxLmyjRuB9U+jY4ybPho0Drw8eZBHQu5YhuIfZbMjKbh45N ERB9rf66V9hvfcirDnT4gfVxttzSHuy3svWsxV17CShuI8+f0TYKeNN6c061 E9BM4ccPi2sosOXEWX3v1wRkp/Gauq6QAtM/eFp8n+H+jNlwcRvWy/3jXdKv iglo3nL/KfJJKnw8umh+oJqADi68enTbPip8qNL9LNxCQDkV2eZkHSq8VzhN U8XPmznbpr8N+62e4NhS658ENBK+4BYfft/SQxHXDOcJSETsjtj4KAWcNyyK cV5GRKqxSzMH3lFAbDK4JFSOiMzlorVZbyjwisJLLVQlopPp0q8ppRQ4n3Dt U5s+EQUrJdtUJmC/5j01O2FORF3F+fNPT9GA+Jzv8qanWJ9rzazMt6SB+NHf ic9q8Twi7d2WqUUD/8kPL3d1ElCiTuL+ZCka0GNa+jsHcD9V/vCKnaXC1u3V Qi44ntu+jvL6nqbBzM6U1OtmRJSwytckBPs7Q2qxsJ8eEfFYDYckGNLgxv5q PzcVInIL9KSUKNGgltXUfUSWiKhlXxY3iNJgoeM7E4ulRKT+2c2qe4YKuwZ/ FMFfvD825K/nH8R+pOoVzwiOD21f02u7diqkf7x8rq4P69Mrv9zIVVSYF1Qf iO4goP1ZYgIieVQ4odZ/xA3n61HLtuyTj6jw/EAcbVs5Ad1t1VyxfAkVVn0w 33g/mYjGbif82ov9k2Z3gOH1IiJy1OVvCf1Agd2M/P1nXxARbcinqJ5KAbu2 LjdnGhFtT2fdmydSwK9xUcChLiJKP7zTQz+FAnfe6EXs+kpErod7007h++98 YPRzZwIRRQalvI2eosAT7fPPDkUQUUWxw8/qAQp8ZeXedL9JRP1d8pLfOihg eK3H/JI/EYkIfjCQqKXAA4Xl4mEniUh3S6oLwv65/7Xxu4Rj+P4OjmGeOJ/b PS5mF1kSUffVKWk57Pdnr+YZSfwgokm1l7MBPlQwM34mE/+eiCR6Qz6wjlHh ifCbkdVtRKT1wPLVtt1U+NRCp2TUE5G1kXjuoy1U0HjSn6ZMJiKv3133fstj v3pi9HJRLhHVRazcLY79wtW5hTffTxJQudzExxcNNKhimoUyvxBQYWHbdben NPhbGhHeysL6Ub9o5bJYGsD9jmjKWwJ6TL1DJgfSINBdOr4O9wtvUgI8NWiE u5T9Ovtwf4xFVz15INsIGjdIpva43gbDeod8Z2nA0JY56PWNgM5cNg0c7KHB eiWVWHEeIkoenKksrqGBJa1Mb704ETXZlP05n06D82f03m1VJqLZ+lNbDLFf SRKru7HLgIhuaeQIXjdsgtuW56RKcX+2BObdVpRsgrZlQ/xkCq7/tgJe2nAj rG51H6voJ6Aj7p+eZxk1wZcdJT2WFvj6x2ECp9Y1Qb3Hx2Vh24mo+JXmwU3Y ryU/ETdqWEtE7FFWyo+BRrhct+vcAtyfiVbH6yQpjXC88+1IMO6Pp4wLHR1F jfCJT6O/CfdPnX1U/4OoRvDcEsOQwN9LHygat7zYCL+d/761w/33xYcisPhE IwREuVVm4fcVLHqzhQ/Hny9lR7ZQKhGlmr1QmMF+7V3gR9YfAq6PgRKRUezX yM4hiwffEFFbUNbcN+yPH5hs2sHoJqKSMf3oQXy9HN9Dvw3xRCTAf1b66Bsa jOVbZ03dJaITEplJ1H//P7sDy1iNl4modD1rrQHOX/p046LU00QkuG1JbhHO 3+X0e4bnjhJRZ4fK612mjbCERyzQ9wMRqWlep8eqNMLWZUfutjQTUUhE6+dv oo1gL5sUpVZFRL3f104YTGL/t+ljwr0CIkLZvIWSaU1gb7fgjfwQAfXzujHk sV/LcF9vfo1BQKF2b3k2OjTB4Jk9TV01BJQ+1LxpalMzLHbJMrQtJKDvlyzZ tlNN8CfC1dyzmYC0FzaGkt80waeKdbY3fhGQcsGTuaq4JjirSlVavpyIyBYN BjneTUAFB6XDm4no68HoDJ4fzXD/erH6LVyfEnrPxK8WNIPjh8/arWME1KBi 5Zq8uAUejsT+OGyK+9OpyM6qqxlG2PdKA9YREW/sEtu/uc1woO76hWReIvrF H/NK/XozJP+Za9bF9fM5Zzo451AzqG58qUt6g/1WeFp2TUYTODrbiXzJw/N3 X4Kk08UmcN9UZufwlohyxB+HLNjbBF6/BQoZA0SUvTjgy7rcJohPkdMsjiIi pSoHxp/gJnC9YW2//QoR5fqYvqK5NIGaw817L12IaKtnq5KrbDOc3JAwHPiR iB49XJvSO9YErSFp5+1xPYyW+0seb2oC3cGcWf1CPH9ehO032NIB+U3KTvXY 3ylavhlz2dcBL/JM1jTh+Rn+ji/2nncHNAU79jJmCEio/O/rhac74FobQTp4 ARFlzO/zPa3cCVslkJ9QJQFJL5IZ2LqjE0SXOApP4v4PF+87tuBQJ/xYEJg6 OEFAW0+HngiRogP7gfLHKVzfy/lPCvlvpMN+eiAjtgvnM3UX0UmfDlQZNnX7 KAFpfek1DxKhQ+xTqZxiWyLa5yRfd0meDieoepHx3kTk3WWve0adDms+210M uUVE9w4ml7hhP9Q/H+jgF4f71cGwRtuKDq/M+ePe4nn+KyboefMJOohONwzR a3G9t74hnPKkg33enZ2f6EREEVpavCCADgVHzGN+4fk9lbn/UfEUHeiNHiFr 8L5YaBRlqifMgDVSAk2XG/E+ftc+8VqaAZ5OaWIdeP+suiyWux/7F1KBwTHV P3j/3PT4ss6aAXmjD1bl0gioCe7skctgwNSBo3VSeJ/Xr+W9W1rCAOXD6/Kr RInoOX8AxbSaAYePDj10USSip19+C3fRsH85UX5ZGM+bTJqnuQ+bAUSHm05P 8X6txM2cfIoBE3y7ferxfJDQDCWaXWSAVsopvi91eF4GqCeNBTPAWy8sdgmT gCj1zOCUR/h96AVqmt+xP9exOZQoxIAhxb2hek14X+9g7tj1hw5XEsen7hzC 89Sa9tkE+7WjG2V5avH+4XGquW8sxoDt5J0CUwF4f/gRtuxUYICE8eklmnif rdbTyeRVZ0Bfgr3xijQiWltiGj+lzwDjS1vv9pUR0YYNBx+MYP+WdWhJS8kr ItqU6Bjy1Qb7P81P4oEMPD9W+Fztc2bAqaUVx6y/ENHd489MW/oZoD23+XMs 3hdGwZvCqn7/85vLPCtwPKeLE5sLeJiwaMnQr+73BFTGWiYWv4wJF8QaL8yN EJB/7eAfS1MmTP8MeSqI65PRe/ewNfaHCt68EXa6eD69ptpJY38XLn469MwH ArJPOx81E82EB6OfrP2EiGiherLgyVQmPPGfTAuUIaL8Fw1X2wuZkDi+ZCxi E65H858jhs+ZkH5BYVcS1lfPX95NWXWACR8+s7fMFBGQO3TrncZ+0J3nghR6 if1atSqD7MWEHytXzNzGerLG4LrvwgAm+G0tfk/B88KrsmXJgVAm/LE2r1uG 62fHvbnWNXxM+JJPKkzB+1hVqeuP9gADdhkundI7TkSPU/aos3A8bn7seffY i4jmpMrdr8wzoCq0sO7XNSJyf7A+eTX2u5OqV3P2RhLRIpLneBT2iwVnn6i6 4/0xWhxU7KLIBMNlr+dTSrB+yI07qa3BhNaC0Xb2SyJ6lV6yht+ACc5ma7PF sF4oTHzDpu9mwvjAvsuWfVjvFE+2bsJ+K0Gihv6JSEDPVOdZQywmKAT6e3o0 EFBzPn9fyWfsP79t5B3B9devvOTrud9M2GzT++TiVwKayl4xsm2eCaSaR6p/ p/G+PdT1nMLHAnYR++F7PC9Sbc/5y2SwYF3GkxtNLwgoKtPD5OYFFiyN1D8o g/VgTtL2xCVBLHg38/f9KNaLL54sHIsJZ0HRqTqPZqyH2yLb9q6LY8E1evBE rhoRDdxJzijOZIHlTrOgW4ZEtPSK3PhZUxY8Uzpk96yCgHquD6yt3M+CBcGd M7G4vvKDnu7jt8fnfzwUf7mHgC6HXLpu7cGCWKDrHMP76vNZr9wtb5jg8O6J MeUbEX2a/vE4+zUTzoQxnudgvbCiesxkbxsTPDL8V2SdICKjm7OjP3uwP3+x wjMd5+usycKMR9iPOtJL6lOuElGK4JIDumNMODZsJZt0H/cfVYz3PY6PjeCQ f3wi1vPvY3M6F7FgufJMUy7en4zvchYUCey/12xyI1YQkelU+q+qNSx4In10 toZCRCQB5cdl2J+yl9+JprGISFG8SDdnGwvkhMs3MQeJKP7V6bnDZSxIJRYo R2D9n0xwqt5WzYJGDdnUnn/7Nv3oDUnsVycL70uptBJQ1sP9aILOAsWNcxGX cb/kBZrxMrBf25/lLfAW79t6FNC/YBEbzvWsOqmBzz8nrHMso5sFdzw9rvSK ENHB01AzdY4NVM0KTWfsd/4smTB0d2VDf8YBB3s+IlqTOVttdIYNXYhwdvcK IjLT50NyAWxofScWpKFARH7twrWTt9nQEOAfLaOB3//08p2dkWyokqJnLgAi unz+oIGmChsqqMa3m3E9am2XP1+2jQ1jqzo2JrzC+2XyW9GWnWzY7O3cchLr rcwK8gDRkg2nqkf8tXH/2V8Nkt+G/Wy6yM2VvHj/59f/6mhuxP7c5caKMTyv isP8h9VLWLDmTTLah/W2ecbtcNFKFnzfn/LMCOd3oPKR6uhrFpT3pGhs8SSi oM5MWmcrC4JOpuYq4nkpN0T0ION4WP1OXSN599+8fy0cO8ACmWtpsYKx+Pzr TrIrRljw/Hprj0c2EemJrmUen2HBtke2VfeIRPQ74+PDLH42EPLeJxXW4Xm0 LcPipwgbNGrcrje1EpEzxUVQdyUbijp/2A9jvb/qhGJdkCL2x9/OgcgQEb2s lRK3nMX+Q9zQ4ZsGCfnc/2Bw5ysFeLUPbxBUJCFZ2zy3egYFvA6eGVonRUJU Bb+Iv/UUYPrd+Tc80KUfeuW62E8aR6VdsZvD87yc74N/MgWKSyt2BvwiIv+Y x/FdN6kg3Gl0z2kY1+uawqffPKjQ+nvXJYW/RHQ0r+7V9EEqxIhauPUtJSEL LTZ7kSEV7DX2H0iTI6EdlT+HV26gwnrrw+CkRkKaJgILVUSoMOR9XFXBkITc PTXepGD/pKn4XP3HXvy+BbEKctiva8GcRekxEur4xnM1vhn782NGHhdOk9Dd TacZUs8xnw8O1b9EQsijTeNxBgW0H1AyeUJJyDXb5ck2DxoQxkvm7v3E+VDz E82zxn7jk0LAG14SWkYKvL9qKw2m26ImFoiTkLNBpGDESqyfX/Kd27GBhMrr k4J4eGhgVOz/87IOCeX27fxF8KaBflehFzuchIr+aj0KtqVBrmjIyeTrJFS2 ap2OrRENJMwcnF3O4Ot1xHqUVWgQFKhjp+xIQi9s+AKnxWnws1z0yNA+Eqrz G13X+Bf715/fDpQZkZCLCugVfKVCpZzffo0tJPSxwoj2q5MKHUo/isZw/pzM TU5se0mF75rui55LktAH9q6hKwVU4DP44H5NiIQcTptdr32C/e6uY/VG00Rk V1Ir1T1HAY+EFxqVX0lof4HvgqgvFHAad39zZJKEdmUrDO3BfvSItaj9hAAZ 6aW1MeerKGCdVzkWLUFG6ok368i5FDDlc7+nqUhGO3L8Rj/MU+Cw94dVkp0k pHI0eNnGIQpEHS9v0H9DQtKLYzf6dlGg2SzC16mChASq8k2ev6HAIh032dAi Ehr1qXLgJVFg1waDN4WpJNS3pjXALJ0Ct8TF/NqjSahS+vbssD8Vws4sUrqA n5d/FC2ycqICT3cJbUaSjOLiZ6WKLKlwYZft2ZvCZHSn+9n6JXpU+FE6Jy44 S0IXZM9v8cT15SKX+fz+MAm52WkaUVdQgX3H3H5FHwlN+dzeHt9HA43kntBy AxLyvMIQbqTQoHFh5Jy9Kgm9C1XumSulwSlPo3MCsiS071FAsXo8DRa2j34p WozzldoY6BREg1SdbHubGbwvu4bftKFGWN7CKzM4i/2889r00TWNsFPOvevt ChLy+2pzVYK3Efw9qQn5yiTEmg6POI6fX9sdc/3cDhLKm9vl4/uKBubxDxWs DpBQAA+PVWgODTqO3Hul7I77h++5WlIYDU5IBZ/kCyChren+Ry+ubYIFzglX ixaQ0OQ5sfLv040QVlhG78T9VWlaJu7Y0Qgr/lA2z+J6XfWkn3ZHqwm2hKO/ x26RUEj41mMnVzTBE4nTgnu9SWjkdsgX09+NMJX0cLm+LQmduMq8oNjeCHYb KmRUcD3WffyQIk5qBFL6yYfbcL9W2FWcT4tthEKH5KQiGRIqZUXv3Xy1ETJk 6XmKAvh7DnorVDo0QgJ7MTnhNxEx779SHsfxVaPGpen/xPFcHGQuVUSD4v73 7KV8ZES5C166D2iweX7dig84vzuF5sKPn6PBU5nT5mWbyOisRIyuSDMNPAir V/G1kpCqiIbtJIkGWW6XMy/VkNAXIYp/XxINeqU61YaLSShrgXMUNZgGK6mb y12S8XwRGE74vq8Rvo7f/vtuIxntmpCZ27cN+/Wv62/FSZHRsQFTe/KqRmjq aRC04SejMwzfmlU4X9B68v7yURK61ZC05uYADUrqhUQbP5DQgNAmuV5CE4g1 t6qf0ychnsW7XawfNIHq6fNKQutIaOVS17waryYwXbhSPgnP060iN3+qmzWB Q0q1pBaOh86jlxd4pZtBau+qlTTcn5JSm6ItP+P8TOo8TcD5k3lW/EcS3z+4 QWWHJCKhcbley+0hTSB+fE5zwJ6E2m6JZNoexf75Z/N68jUSChS9UB2F/W3w d75H94VJqHZ/Q7FJXjMM7nseXL8d90PJp3XdH5uhyahv/xsPEvLecHuBFvaz Tb3DvTd2ktDOjS3GWRebwXZjYuVGBRKKWVlxIHRPM/R4evi38JDQkgMj5cfj m2BV3XmvtyM4nmeH+6rx9738scd0pSgZWQ3VV6WnNIGFxrsJk2YSms8W1bsU 0ATjPinvaoi4PhwdyJY2TZBc5PRKL4GEEpMDHhmsaQa99o7YqA1k9ERt6vn7 0SZgpq59s0qIjCJfXOwNxP7+3Bnf8Uw8r06pRbm/9G6FtnN7XrJj8P74FrTT f6YVxjU3zq2cIKFjbPfNilbtsKFEjs07RkQxOsdBw7sdNPZs6M5cTUIvaYsv Texvh/WzTWqTcST0q9Jup4JXO0Ss3fVwsIqEDhNqWvqC27G+9BExxfNB2WMw 8mcC5uC0/RHzJDS9RmTfXClmkc5ophyeh2Zn+8aNO0DsS8kP5YUklOKiTzx8 tAOiR1WIt3H8Rvbv2td9vwPumJndqMT9f+dhwn2VbR1wBeYTfj4kocUH1INH 93RAWI7lsYoCEopYUX+t8ngHxIskSge/JqHLTKe7Xj4d8GWPwnGNXhKKU0t5 K3OjA66Pme2Swt/7/FaP4JvIDhBP9dP8u4SM2GyZ3f6p2N/vTZD9vI6Mco5H uNZt6oS4C1lnn87j+dT4Ib1QvxN+hnfLf8P7otRwS98Ti04wyRJtUdxMQo1a 3xuRKB2khWZLqbge/aqpdxKx/963Te1+0DJcj+b5JpNqdLjjau+ut5aEauh3 eQ4Z0KEmKhL93kpCVXZVm1cupcPi4RaT5sck9Iow5LxmJR00IrtlSnNIiCa8 OmaDEh0OaQwORz8noXYHK5qqNh0ut/2uv0AjoS7S9XktIzok+f2NPfoO79/6 a1esLemQ8Vng4swQCWkw/WUcj9Lh9e1xofC/JPT3m2f5WTc6DK7rj18tQka0 v842N33pIFzfrloiT0Z+hf4Cy2fpcOP8I/UOPJ9PuT6NfYX9b61O1ldTrEcc ZL9tuizBAL5ZUsYzXB82nYpVamsZYFrTYKeC9VLyh3UUryUMONti7U08hefv 8JfzxwsYULoxPkNZnYT4hjXivuUz4Iy7mb0B1icOEa9ddMgM+KLQ5FyH9Unl 5mObQ2oZ4PRu38k9uN+kW4YnOxoZwI7t9Gy+TEL+Z27VK7AYcODQkbOH7pLQ z45V1VvOMKBZf4mo/hQRyfY7mO25wgCT/vuC7bifzcYyOk+EMqDy/tK/p1aS 0PmFXxx8oxmguTVibH4TCaWLq34PTmFA7rtl35/geeTWIXA5bZoOk7xfc6Pi 8fklykdAgAFyo1nZIfkkFBxuvv2dKAN29jtnBuD9/MjDS/KKHANO0uXTfagk lLk7Ylx6IwPuNfSkOHeREFjs19igzYCI7b3TkbgfxSxevOAHBgR9UYy/jvXD 4F4ls89mDLgQ56HrLUhGlXuj6K8OMeC0eQnrOJ7nkXvnnDIdGGA3M37RfD0Z jSZETN/vw/n4XNp3f5yIZJojAmSGsN/fpLfwND9+Hk/kdNYkA66dqdtgKoG/ RysyQGshE44Tzc0U1pNQmGvkdLUIE3Sn2j3ntEnoaUXKim7sX69LOT0Vwfqn h2dLtCD2yz7MZXVtPrgeb7+WsLjHBD7dHxeXYn3puV5xhd1jJtwIyLnyGuev IFtstiUF+7lzi76vxvn7rsQ3sDMf+z0v72OXcP5V8363kIhMsHZrpbRdICGv TR+fK9cwAey36KoEkxDxadsl/4NMKFeNu75zhIjGPj7ovGfPhDs/Q+uu4fmp LblPI+M0E46WXRB4LoLzbyZyv8KfCSrn3czHcP0RrjYPtt1gwuz2QxHquB9H n4Ybfw1jQvP0znYP/L431x7MfyjIBMnrKzeN4fnrndZ1dfQjAz6tPSOmEUtC 3cqJClE4fj7KDx+8zsb1UmLXoIHjN61GWHqcRELk7fKeLQuYELyFHvarnoQU az6I+CxlgqjuH8GQdpzPHzY9Q1JMiPm0eeMI3m9VLQP8IwpMMBwaXVOK9dNJ wkX1MRUmfJx4Ju2L9dXyGKGjf7bi7+O5vlxzERlVBMQFTQMT1BYZC43gfepi v6lwzowJHWJCPKU434/uUke6W5gQSTS46oL7cab5m1V4FxPe25QUr8D70Vl8 ceGOz/j6P+v6aqVJiHJURfjXTyZcjY0R81XC/Z+y1z1tmgmNuot3rdmG9WRs zIMIGeyv2iKUTuJ+uHN35fdYfH2Ifbp6nRMJyY8Xzt9JY0FgbYuSE47/xELf yX//PVwgb823T1jvXdgs8/vZdez//4bxtJqT0EYDMcatOyw4JwalO4/g+jFb WmEVxYJ+5VEnkhsJRdoKJssksuDQjpwVyudIyNiNN6g/iwWvDx6vjw/E87Qq RHebEQsWuvxWsZ0gotaQbV/C97IgJ//N1nt4P/y0Hnjy2YYF5r8ToQbvAxGZ J6aGjiwY0vUzG11DQps/mo498mDBw5u7Dyrh+WJVMJ7+w58F2hRZu+M4/6Pl UUbkL0xYl88jqoXn3+DIN6IThQlPE31ltmK9XOut32DUwYTXBJ3eV1hPJ3y9 x1R4x4Ru6nzmIayHzrv1fOEdZMJIX4NHfyUJWfepTvf9YoLgVLiGP4WENtld W1yH4yu33GaCj4nrfd9HXdeFLJCIUqnZ0U9CcyavXF4uZUHXzzOOMrj+mnWz w2WlWJBiSeQdmyOh1M13yi+tYYFLwWR6M64H33UefZ0bWaAsbGiSh+vBWNpi seYWFvxwv/n5Ftbz5DKWa2UZC7aebq8Nxv1y3HcgtP4Fju/U+QgLvK94NMby aQ04H3dljovheZ01zNvcgf11lEyVUhfOt1mRyEh3FwvK8hzHUrGeHvaUE+/v Z0Gb7sLak7g+bhU73RL4y4Jbscs+i+F9FVJzr7OWwYIQ41NKvDi/d9pDTjBu skFyByu1Ad+/bypU38iBDdd0Ju+b4Hgr9JJI1qfYUOBT6qqC68Pp4az4Y182 0MeOPB84TEJpxsb+XQFsmA/gWZbugq8fv9shf5sNG3lzne3O4utzW7Xcwtlw MNS6XBrrM6djUlH5T/D9l/5Z3Inn/dzV3BiTzWyIVjMIPI/3bdZMVzK/Dhsy zhdndQmSkGXA0uwGI+z/q9ZgE4n13yQUhe5lQz1/9K9M/D1JF/2Ie2zY0GHJ L7kI7yvTicxKYfz+nx5f1D+D33+5RW7H5hYWpNlUd6zG+jrzV0540VMWhOt5 fl8UQUJyGeaXpp6xoGFPp0EL3g9PbIacTetYMH/YMCIa72sRoQeWD2ks0HHL 7rXF+u1uhZbOu04W+J4T0ZStJaEF3vS1G9+zIP/mpaAPTSR0Vf7S0vODLPgY 2deRifdF3o9qMZ9fLBBQeWD9ZwDX4x+v77umWDAsZxQnh/V0+IJV9fIL2MBY /vujMdZXN5ZS4icXsaGaL0PVYzGuH+mLfm1ibMiaOHjhAa4f53XrzfNl2RD+ deFLMtY3xaRZk50Lsf/dLvat+SIZlXv3n340QoHacwGXZzzI6OX6xoiB9xSI edonpGyP/cU7AkGnkQLe3/fEHtpPRh2PE1hhzylgrFSidNOEjHosb831ZFNA xkWqvGg7GV3fIGZf50eFvrLTyap6ZJStKGKvf4IKpuf6AzPNyKh57WJ7oikV 8rY4uMgeJaOJNYL2aupUWDrGNn10ioxWy/PZZ0tT4SzxkPKSS2QUPW7M+r6A Cpt7AzL+hJBRtau/Kh375aNzGYl+j8noa0dmYDWLArdXNT0eyiAjcWN6Z049 BZ7qTkScKsN+u4x/48NiCnTZyt/59JKMLu9ZFHH/CA3O8EhXrTQko6eJ848N d9BAW/zoLhVrMvr8ayxpeB0NppTiW/SdyEjW9FtWijANqvW7j1icw3ppsd+s oxMNYhcta25tIKMTFS4P6OY0qKIbf7QpJ6OhUzaK5to0+Jh6eaIrB8dDavez ajkaCHk9XeQYS0YiDToWWwSxn9v+efXnO2TEkhaXRCNUkGP1ktsvk5HKmVO8 jj1UWHi0WPeaJ77+9YsfN95Q4Rv76gslOzJqWyXKSimjQtuxvdBuRUaKfm71 NUlUKO+WqbuKyOji2+fFvXeokHzii4mSFhn3S1V3nRAVQmjhowXrytHQJwFZ 1igFWl15XwlplaN35vtODOF8y/z1f+SGylFTaVziAioFXGK+uNZZlaMq6U89 UiQKFGqc2CpvV44Kb6jKqaVSYILSwn/VsxyVvfePcxOmwtPl7J9LZMvR76BQ vpoJCoQWbbu2Q6QcaSnFe0v3U8DB/NGiswvKkR+tkOnbRoHtgyMxaeNkVHam xohWTQGR29brO76Q0W+x9gLFQgp8WVNUtrAH69G18XKbb1Bh1Ru6wJBXOZoR ++ka6EmFx1EfPp92KEe3+U0K222pIGL//dXA/nK07E/sqKIJFe5unMhwMSlH MV+G9C5qUIFvnOfWh23lSKFrZxBFlgpXXy52tttYjr7YpdLWdNJApGtleb8/ GR1ZWV5RXkmDjM0X2hVcyegtoynPKoMG22+1DdkfJCOd6P7Yz2E0oDFVhRN3 klGu9UzoVT8a2KveUWRrktFf792MO9aN0BuweLOeNhn5P70bdV+9EU7InknS MCejb79oVg9EGoFd1b5EyZGMHLWWLX70kwaHHbZdlbtARsl/XOf92mhA3sST 1BRGRmGnKJceEGmwtGBOMCOZjC6w1X4XxdDAVWXG7xKubyfzKE9aAA0qCybf WeJ6PLw5s+UsNMHbqTdC2zTIyEe/6bWQVBPUx1Geje0lo+A9E5Wpw41QpUs7 RThJRr/2/awf2twEfDLhX63q8PFH9FjbJU2wkv7KIDKfjFayKr1rvzaC1sPZ yJYoMtoQcaL1+xvMV4JXPrpCRkGrjWzH8hrBT9YtmAff733x+vez9xqhrMrk l9cBMtKFRW78Po3w217xOBv3m2TqhvLeLhqs+vWBsnh9OeInr1L4UkWDzOTe /J865WiMtvzer1TcH5bv73VYlKNPffzjk7doQJrp8Sp3LEeZlz6H8/XQQPXR tWr+VeWo7cHE7h31NFiW9uAu36Jy9DdXcMHlfBr8Kso4xDuF+6lW+gXhIQ3a K8jy84NkdJS98cLwJRoQ31C+zTKw/9ZeHG1q3gi/XJ/wVbqXoyfCP8cCNzdC ZdLnr3kHy9H79+2HX6xohBCGdmss7o8NRPKzPxM02C9ymxyqVo4GDJYRZbB/ Dmo6pOq0lYx2s0J7U13bYXRuUnX/IVwf53gXK19pB5fNSWpGeH4M/3E7qOzS Djxdsjq78Pet3GS4SfNoO8zazJ85+JmMAhs9jgxif32gj2LtxlOOBn1iQ5IC 2yHH65H6Rfy9Cqeln6hEtUNFYhUjaks5ym3fOXAoox1Mu/vXKu4tR+oG3tuu E9uhTWbJGZIz7ocNxD1e2D83XnxhN4/nAd2KbLBmdwf8KL59/Seex0kXn2l0 2nbAkgGLlF5cj66pFYp3TnWAmpzEyxa8Hyo7xjUWenWA96lb16cUylEwb03O E9QBBaHWwoV9ZNSwodMnxroDMm6SwnZNkJGAxdetsfYdkHhl1ZI+nI/dvn9n Y7074NH5m+FX5MuRjS/FR/VKB7AaLxxdg+eP/fNwvqo7HcAfX7+tFvfrSd4D sZZPOkDr5HJxZ9tydNZMUu19RgfYa9uNLPDA82jRcEqmYieuv00DZB0yni8M z2NandDgxdMbhus7x7h6+3LUCcfsGUx7vL9kHbP5Giw7Ydi6sFXLF8+ThuO3 by+nw8N5X+ZWfTyPc24e8pClA5NvVdp9fH1haI7iPmU6yAm98vh0nIzMTjWN bcV+23mJt7aeFxkN7Bl9tQrRIXe55N8HV8lo+dIAMTVXOvCzdD3r8P7QDZy1 ONVAh/ij19qiTpPRyWH2q50v6XDhzvlS5j28T0+O3W+g0uGNy2/zPfG4PvuW 2ZjT6SADZ/qf5ZJR+LGNcs29dPBY+ePaRrxPfnYYf97/jQ4vxk9Jxb8mI7Gq DOer1+hwdHargiLu793vuuef3aHDCsf3EVFARlfmxJLGo+lAqw+Z5cHvUyxn oaeVQofbSuoeZ3A8PhreZvrk08HgHpP5zpuMJOxf+BeQ6DA+fMPU4hqefxlO z6+N0UHwzMUl3bhe0t2XaajN0+GPSF96qBEZ/dhYmd0jzIDBEnNd7X1ktG3o pNx9cQYw9xNbPuD7B5aIP9KXZ8Cb33Lu4fj+1HO1i75jP1weHTqr+y9eYZeP CGP/m7nxEV8anq/9mvLDl14wQDtK5IAE1gNz914OauUw4M5wqEJkKBk9ydVc wihhgP1tYwPaIzJSf52ucbkCn79y/rBgOo5nn5iN7CsGLCqp8DV+ivXO39uX a5oY0Gd64f6NF2Q0u3IiyZmJn9+tmVNJwfWhuu6KiQcD9i6/Mda3hYwM2Twu V/0ZkOzVdewb/r7O4PfmxOsMGHm7tfY3jp+H1gutH3cYYLL+odIM3r+8vXEr FaMZEHvzRzgfroeYexcXnEhiwPd3u8cWB5BR91t5kxczdOhzNjn9yqkciRxg rEvF8RTl265S24H3t0Kk482/dPgQuen+Adw/0SO7k5yFGPBUdvXQp2Eysqnl 6TJewYAbeaJW52fJSOrhc8n1sgyw2sb/VAD3E9vR76DABgasrp8UiZUqR96d 45OF6gwIlc6aZimWow8+TJV//x5cc5FEeKZmOToo/NzeeicDumduy5/dUY4a MuIfpu5lQPDQWKk+nhc6O66+GjnEAPVeVxPBI+WogGX3Z6c9A9itnYx213K0 t+BQn3EvA76VsiSYOF5qcTGbJb4y4Nn3oEcHcLxEQruuDPzGz1+vJtaM9ciI vxylfJYBNg7Mh2YnsF50dpS8K8AExbiby1/jfiDty3A5tpwJv9tVIhGeL+su 3rJfqIf9/+MxBxdLPE9i5gcssf9en3L+dhrWT+JpPEuNyEzIv7tgwzVjMno9 flHz3n3sv/xOXZa8iefrrqqHIY+Z8D29Sd0rnIzuxSz4fTOZCS0dWgO1cXj/ fdl94FoOEwgLYxOlsslov2542aUS7Ne3zh3wxvtzS1j7Cv/nTLji7ixcX433 U7fUuTN1THCMeVMjTcP60Ol2WstBJkwF3nFTw98/tnnF+912TNg8p/FoM9Zb urMpK1+6M8HlMrtOHb//dYqarc5ZJsSO3xzROEZG9U8qo0suM6HJd9MaLbwf hVzNWpVvMWHBcLvVFqw33iV3WSgsZoLYiwO/rm0uR/Kt5anPPjBAmOc4PRzv p755iU8MHO/rlxzOiX0iowx1//XjON6jv1xE436SkZtD+0kxHO/Tp089XY3r ZUOkRr4mPxPe93lZZgphfVMd8cN6GRMOHfP9vlECz2PJPcRjUkxwajtCeYTn +RxZ5AHvGibwK93zuYD3GcGW6ZmrzIS8q1ViR3TL0enJ5N3WmkywaP/5TNcU v1+c+7oJXSb8UlprvwrrLbru5vnEnUyIvnaIb+5EOQrrGu8y3suE7R0hue9P laObyQf81r9lwi2+ggxdPE92DJQ/sW5jAuvoruiWHbg/1eQqL3cxQa2kL8gN z9/n54N6Mz4xIUjgmt+MLdazVYN8zT+YwDwh7fwQzwttfkvlyXEmqBAI+5Xw PP9tUWaxdp4JgcLWRlV4fnk+duls1mAB29O6aADP97i7rFfbsB83bVFCilhf T/+Sk/OjM+HqfLWG/XMyyrcbzMnPYwH/ZfENmdvI6Ibv0qzZIBacev/+Wh3W 3/m9P6N8A1jgZ/TmnB32H2K6n+5/w8e/37wjyYP10NUoRojLPRa41pk9T0/C /uE7JbAnmgXvFiw+YZpHRpamVQE2iSw4bNz4d5CI/XtyiX9zJgtaboWnhWE/ snoyw2d3EQv2vLIyUWvE+VNU2XPOgAUl53V/6GE9+XHVY5sjpiyY2Ht+2hfr p2SxeWdDKxYYrC0VysP7+9ji02fX2rIgaPKH5AcbXL98HdcEHVnwtll5vZQz GbVPG9z7cYoFS7Nct1j54P3yOzu2zZcFB6+kGgXjefUzvvBFUjcTRI6/r0/A +XRaE3hwDY0JwpSxDUJM7NcshPrzO5hwj7p8pO4jGelffuC/tYcJSxtVK6/h eZWbJc3/sp8JkU17gnWm8T5pT31sPsQE0RZX61H+chT0V3kDHecrujVQpli0 HP3cVEp2+MsEifbET6fkypHtSUG7GAEWeKRMt5Qql2O/Pn6rchkLjFNKx3ux vokK68/vlWSBbMqpVcugHGnIdrTxybNgPFneyMAc+5Wi2kklJRY0JzPcPWzK kSeUyFuosyAnOfx+LNaLQm3Ju85uZ0FgsklZA/YrrIaR2N9ubEgL3Ti5HOt/ V0YPIc2bDaoTDxyT8fOMJ0+95/dhg/fTzT+sMGs78m2pdmbD7ZcUYRbWa2Ja GTFWHmzYdGXKRB/rkxXnd7E6fNnQ8zR8SySe930nFz8/UYHzY9hc4VUeh/b6 KMcOU1lQvWTc5+SJONQ9Iz0VXs2CRenvRz/xxaFk401uKr0suBLxsmwJPp+/ XsAgr5kFB8xMiXb4/D2XctZu68P7Z+6vZDMrGW3fZpu4dZwBGieaJkc9ktGO vIf71fF8WFbkeoC0IBklDuq2eoowIcNOUaGmMxlJbde/uBTPh8B9b2SP4fPv DGhvmcL9t8/27noVwxSU+IKRc3aUCa8M1AgPMM9d8RZooDBhrmPTGl3RVPRh lYVT23smaO/wSmUVpyBDx2We6ZqdkMETTf2zOg+RDpUZIqxf/2bOKuYrlKDa Ru8dLVQmqGd82n7pSCJarFU7OI7rRXiP0ZH6sQTkSzAY/sRgQnBOl0d/dAKy 7TynfeM1E3hmrd4d0U5A6mssWu2nmRD/cZ069XAi0reQCTn3hQntas1+x/H1 ppFCH3K1cT1Y6TaF2yQi5wdueslrWXCxtKvV73cCCmmjHiHys+BcXNGwI75+ LOt9So8U7ofvBpsz8PGZ2kL/5xtZcKjC+P2tBwloOuzpZNhTFkwVdjBm8f3+ 4z1d5uSikQT0zLub7N3NgLAzqz/uuZuKJH6mfPJ/wYLaZwbN2S8SkaismO9E DwvatHUmM6sSUWXe9yzJchakZQ6Fl4YnIUfdQxM6OP9RppXWTxSTUNDtZZrT kmwQ6Xnx2OVlIso6emfb1tW43q43N6s/SkJj3T8Whyxig143L3OZchKqLdwc 5fqHBf79PNqT1YmI95dYelYVC/pYQx+mnqSigcVhK3a/ZsER46CdZUdS0aG7 39ZP4ffpypnWfxOXiviyA2fvybDhzqza5jMpqcgu4UXGiQkWiKsOSX1PSEUL S5XOVC5hg2HxpZnL9qnokkLU77y1bFg90bDTcG0qknIYkXAYocM1Sf/0CZUM ZGUTFLMN6wHXSOvCu8LpyLh+q/1LUSbo9rbm5SxKRyaJUxeuv2cAfXzxkrMx 6ei1g0/bJbzP7Rccs5Lcl44u7BM8v0+QDimeLoO3bmahuQXhR79uokMPjjJ5 bRYyj1I0i1Kkw47lh77brstCfDk/R72w3twteFRS9FUmqki3tSeIMeAoQ2y1 N+ak/Ov7eEfp0OR8QllvdRbaJU2Kv6PRCXsyv2k26eaggtNfdX7v6gQX273F oltykOgvu00jCzvhoXvDue2ZuSgcpeaKFnRABc+spaRVLjLMMLgRROqAPl7F guC6XESoWH9JFr/PRcmfG7/E5KLm5ZUL/7jTYWL94/Q9hbkotW3Fp6vbOmHd 0ZrBs8sKUPQXkZ96OzpBd3204V6RAmSS0Pqt9mInPG/Qfv13TQF6lX4kL35j J5R2X2nM/VKAmu359mgd7IQ6o0UBvH8LkOqqCvm3uL+iO6KyUsWK0KYbhz2E D3fCM1hy0GB3EZo+GJHodKENtm6N9Fq7lIRaCZo3p6PbQOKg4fueMSL6TZJx y0xrAbnHVV988Pz75vZUVOB+C0TjsGZi//VffVf7r5QZeJzKyYdkt/8Cz0W5 SHvLv58OeHNRO82u+CkSOv/vBCb4WuknTu5I4fD0kSPp29+moVPu/34Y8GTz 7rAN1ukcXmnp/fMWrofZOh3kfIwBPPgn8P87LvjxZP1630zUYHv1te1VOlzp fB9xHOfz//LPhqSxSC0qOY7DpFqvR4+Pc9m+SN3Z4mw8h/udB9PerohH+bf0 cm/pseC4pMLOqy3JHI4RDmzPdExGG8z+XdAJQt/2pWaszeGwZo78LlppHrr9 7/TcDtgRdlhxw/sCJPhlgXDJNTb8e0777nJUMvkvgGxIVbRqsjDksn9d7dkU S6x/mDXqks0MeLyirWrFrTRUlbN9JoTGgAXS/mGymI15qkYbB+mQtlRK/LhU Jvd9CgYkhZ9lo4iXf6euZHfCgn/xImajBweoH1L56KA8M+XkmJ+N+lWqP6pU t8OFXB/SYqtixK93+/rv5nawwLdZYViMDP69/q12iBcsa+RJLEPNBT/Eboe1 wzvcXxeiytCNoHXx9l5tsDrRz8bOmYhkKoeWeeUyYa/aOmK2SCwyFgxy/lnO hB9NphFnKmJQSFetghvmpdNuZAHXWNQV25C7CJ8f8fbgzFN8ftTy28+WxTHB z5oa5lgVgzwsVv5MdWCC2w2e4cP1MaitTTaXiOulOHZRsJ0vZuFiB4erTFB2 GM3XfBmDBMPVXH+fYEL2j2ti7V6x6J3bTFO7FxPMf5g/SZCI5dQbU0ZP2as1 mcOm8W261S7JyPucz4wZ3k9Fq/mu+M2mo+xlR5oe4/0VuLS+S64gHRUdCtVv HGQCKVNxpczfdBR4ChRNNrDA6tZrm3GhDMRLGBk7I8GCMN2gjaX8GQiJxosM Y/349G6Yz+aKdE797N7F7j2CUtA78R1Tdj3Yr1HzV3ndyESWxmtHKvA+DpXc eTNkYybiV7F5urqfAQUi7tkRBVmo+7wW23GQARK88vx3jbOQeoidUvgKJlgJ 7ZeQq8hCQWJeDfvFsN4NV4vVvpuJtMV4Fk5ifc88Y7FG5GMmuhv6DnKlmeAJ lapTlVlI+uBcyUoDHG9aw+WkY1mceHxe4XLVZ2k6+t8c9cZ+6sQ2uSNDXBYa V9pVl8rlKX+7nPbD6Zzr5XZ/5ZnQyeQcT9+2ebHw5wxOv/qln5K2oWWio//a Fe9r2cr1y4iT6Zz9uLPFUl09Lws5/lsXEnjfhwfdmP6ayeGbqWj0yOZMJHuj RiFiIxMe/ZtHmpkoNVh3zmu+Bf7XBy1ktM/2skfQLTYE5U8pXqpLQxU04Xty F9iwZMOx9k81aWiNpVTc1kg2LLSqTf0TkIaSl5uJ/g5jQuvhyAuZKAN90tu0 2mykHXhx/7wcKUU9B0/1/13UDmfwayb4EznvEyX3YGOQNfd9kd+HKiX1bE48 mi0kll16kokmRjOJ598xYPr0dVs7mWz03Nr8qkYfFXz+ffbvOOSev1uvl8Bl cX7TyfAQLt//N24nqcAe27DqWRaXBWb6XEaWc/ncExHWV2Y8h1efP9ltaRiP dn4REX4zRPm//Xg+EXmt3Wno9IbLMSf8fWdSufwtdRn+QwUzK16dsK4EDhsu oA6EWCZxuLb4lfLYA6yv/jcvqPBO7jl7hpzMYYlzPhe955PQuEiIvL0X9X/7 Q7E8Cb1ZveTjb1Mux6lFZYbKc9mP71xs5Ccu+xTKONyo5LKHzcv1Z6K5nOWu 8mAwjwIPgh49H96TiAY1Ib4Yf9+KVVPRXWUJaNGNneuIxRTYZ/EtB3wS0AUj +8tuUxQoNb835aafiEi69/Y/+kAB/mbhWwZ/ElDb4HyPzFkq8OrSL/CgRGRd oi5hZkuFiAuCQqyZBNSvxSNhK0eFpsmKV1aWich7LGbkmnbT//YTz9kYJFKq 2VYy2sjh5sb//YDQRNb2yzmxHN6eLfWuWJ3LJw/fDeovj0HX/rWHbSMMLn5P jM+P43BYkKSq98Y4xOeeq9V9sBHK//VNaSxqoz3bXy/L5VRNytmCzzQOz7+Q cfrzhnt8U9qHY03hXF7daSTXadQEh7MNRuUlEjn8Xan0sdujBHSsrX9LypYm WP+vv7C+Lms5EhI+08jhDUWSp1PyuMf/hBb6avlwWZXXUis9p5FTz3omczJb znL5v+9PuiFJfpDC5YItxi9s1nFZYGky9ePqBA5HyI4TpZLjOSypapFiIReP 6vmfOEVKNnPu/2ykk/m4s4nD//ub3AT+b+LXBckkcHjB7awU07R4Dj9EJauE N3L5s9lUsDSBe/2KBaHrFgGXoUK8doYaiy4KfF1pMtLMyf/y/zVMM2S5TnnO 5sdy+JgNOVPCiMsiu86928yMQTUf/y3oZoiid9aeaY7jsHz4MZN6Oy4XmHxo kByKRSbZi5z2L27m5JOVbr1HpqGJw78+uy48m8g93nf2ZBL7AJf/b361wLKT UXf7bBM5vEg1oG/t5wQO84846br6JaDXqcv3KI03c/J72LrrUlERl32XPRTd Ci0c3hNQ4XviODcfnO9V0Z6VDeGyzOMm8zPSXL78zSx5lhHPYfHQB4Mn3bj8 dB1To2M0Dp0rds/Of9fCuf//6akWuFN9rCXubTyHPV66PjM8weXVayJzZn5y z1d2Ft9yMJTLWplx1fmruWwwsNp8ATkW6el91he528SZl/mVjZoi+7j8Xz10 P1s8nCnKZYfVb1OkH3Pr7dmx26qiD5M4rL/nppboci5Xbb2uIxqZyMl32Mqo 7ztUEji89rkTIYwcz+HntppXGEbxaOmFb93U09x8HCrfc39+A5cbDo/RBwa5 /fnf9Q8E4rYMRCVzeGG8v6OpaDIKSAj8sG5lM2fezj14cn6wt4nD37aJqf56 xD1eZ9keMHmYyxdNvy5Oc2vl9MP/1oNeK5z5pl48EBjL4dCDRjxZ8lxOeXHg gEt1DPrfdTytYPJpONqPEsfhM2Ul/v3OXI6/6WdzeBbPt4O596YHWzj1XbGw Tag3gss1h3jG69e2cnj/P/tyvhW+F31We3gmkcMOD5U73Pi53OHveUkvIQEp bKvKTzzXyonf1pLPOjymXPZVaP58MYvLK0MiCVKrWjn1+d/3CaQ+izMo4nJF 2EuFiD1c9jn/Nq/3EzceIl+cLW58iufwal3Sc6MrXFYNE1RaKBaPZoiX6mwG uM/7P7/WCiHfjSe/yydw+Ps17Qe/KuI5bL18vfK4DZflW7x2LhrhXq/U9+LT 7Ugua4wuCZ5X47IOv92GgMZY5LN6XGe1RQunH/7rn5DafYXOElx+SJI+qp6V wOHEvA/8s9pc/m4OcMcnicMrPdc62k5zrze/x39zQ0giJ/+9gbKxwQIJHJ4a tHxmmxjPYTHrG6yNWvEo0GOW8Fqam5/3lqTUwR7uvBLoJwcG3OPyf9eH+cgb rYpI5rDh/PpiZelktMMm/VLK7xZOvS+f0b6+I4fLQYeVjmootHL4//xmGzTZ mdx95x/LYdvYratkZbjc176h6Bj2Q+n/5Na3VjjprVnn+yOOwza2hMfoPpd3 Gm09LaLKZQ2VcoP3tFh0p5viWlnDrffvMiNJO2e4/PvfeHdoA60n53S0zBI5 vPVl9cCB/gQO63wTfnzuRgKS2/nXxtq6jROfsLirg5UPuJzk4T0yrdDGqb// vidRXyWxZpjLWtMzz6siufz2WSOzUoPL9heTxp+3cePxzdixsE0igcM/3QTf nCbEc3gstLiPdz+u/66FVlm53OfHx/37aQOeaUf+C0oJHH4g9cdZ4k08h9ds DX9JdOdy6YF1qw8JcHnRU4ma9Fzu/Q7f2+qUspfL6Sdt+BKHY9FEaRnjUHor p/7/64/ucItD00e4vLlgTtj5F7cfb74trqGEctm7ZtfDZUlJHF4xKWH8VIPL 5Rqfx6xfJXLyTdv7pUdUKoHDh2RlC8/h+PzH735YX6Fbx6N9PnuFalZw8yU2 2yx/uIvbD/+d/+1F/OkJejKHV2qFy4uf5LJZzg265mQSurWj65YPnVvfypvX bYwUbuPuh//5hXbQO1xosMAzlsMLlUN31K3gctOUEwqqiEE75f4J0Da4PqkU sLQqjsOhz4ojeh25HHlpa0bpwjhUqKNtlNTYxqnn/z3XrB1KH9YZf9RM5PDq 4qnALa0JHL5H1ai+jf3AlqwsVyelds7352czWHw3uHz+l2N60Di3nv57X/vZ 9DJdBpcrhss+vg3gsmRf3Yoj8lz262jfOVjP/d7R8EW0iJF4Dudv7L9WH8Vl p9dVGpNb4pFzvLHDkfx2zvP/+/2Mzq9rUQHqCRw2W9ojPdgWz+Fjm/RSDvpz 2XN37PqXklzutjLfDpXc++28fNtTyInLeRnVKW0CcdjWllovvdXGqef/6n0Z rezFswNcDqSEl7cMc/vr95tTZQNhXD7C/DBncSeJw7ImhGuFa7jcVxI8t/h5 Iie/o4ZBhwjseA53SIVu3RTAZcLIPcm0lfHI37378BoWt57/Oz6yJKZDHtfv f6zZFfHjtAeXfXNC+InYn55tYB8Jq+bWq+6hVqlS/nYO/5+fbofcg+9OCWbH cjgrO6hz3JrL6VNKqH8qhsMpFk0F7RkxnN+3PYydENDti+Mw1erkSFAol/n4 Wd2Nalw2qNzTINkZi1bc+25Z87WdU9///X41iXjp/GusV/5jN6IdX48Il9WI Ox/+fprA4QmCkrzwvgR0kj3heMy2gxOv/96Xl+//cXXf8Vh+/+PAE8ooWVnZ mYkipHlfRJlZZctKpYwolEQkEhmRvffe2TSM7L0rMiMrQiXy8/28u87r/Xv/ +Xycc61zXue6znnd133fQcOW+eHIwYSIbj4dML9zfMPnP3C91HK32l5ywfbe 7gcK5mojkHe+aX557gbYefPB/QjK7f66sJvPPbwbxfM/+aJuAsfeSM+ug5HI jy6q03Rv359xj/nvjuq+BT7XWcXXsw9cxyzsK1wM+1vuYeeJNPzX/gOoK8lI wzGvm3QV62ZdKJ7R+Pl24Vq2BlhJ8sKE7xKMLxXn86aWAWAN9q931l2jkV/T 7K1kPAA+THqURKI4CvXntN5oRfuPCORW9kCZ8ghw/hjWmHQmAruvhp1QHof7 D14etXDjHfdwDPLnHflaufZgHrpfX0/tjcGKyMeTOrMhfg//X/FYNyFVmYp4 wSIM+Y9eezbXfvBliwCdy29CUf66TY/njftMOLKKUvkVyUBwyym1zRkpsNLh qcjoz2FYr/T/BhhBhu6XxLJIFHKxjDtnR3sksqAdJWXO7UjM5X/5jR6CauGF e90rEcjcP9ZEfMPBaydTJmXPglcCthgjx8OR1b+IN3/yAeecuenCKQ6mDI4V NfsYhs539VQ729WNCGSxHn3XpDiwjeX05wnZCCywrNxJaAzGC14u43lgJLA/ BrmJpv7u3ttgjejbFN5kMZicI3/oHt9u1B//5Ct6CGc+vYu+nBmGPBK/+EBQ G+x2jVVvcyf4oJCCVGdOKMr3L98KbvDYXg/hdlvfyBq3BVN7mwfKsIBjGdvs 49+FYTfMCtLIqnrQ/QT//KbfC7txkTMKPs8JnnY9/TYS+XJcQOgh08i/+aFe ApXB5nT+twhk7p4qUo+XYEllF26tk+A95ry6KyPhyCoFURyOT8F+W3RTv46C O5R9spwHw7B7X8XfKyv2oPGK92fR5btt1tZgTXnyOqN94OWTMRVqeRBfgcLH CqTVwV/W9G7ZhUYjd2YxvdYSB5eb9tGe6oxC7UeldH+37fbzCPlOPeMZl385 kk6A/GAE9qQ0LoAzqAfyY3/LBcZIZW2y4fOjtMme25NyYIGZxGj9YXz930tY qs4hSJmFIc9khL0W3wceDXEniFaEos+/dHbSC/K1hSPTuxuFpziAO4gyyfk5 wL5ua/dT34ehz2dpawQd3x6PQiY0aTNKDUQiW3Y+Kcm5F4k9ng5xPcLdi/oD 7y9zHr5FzZvgl9cxsyOU4LoMvX6KLIiftfm7SlPK4Ey9lBiq4Gjk/KSZ+qSj 4JKFw4snW6PQ+V9mn2k8PxyB3LZCEkX5GHyhmdO6gz8Cy+IqCJvy64X8x9/y XTdiAhhKYpBr9llad14Eu5acUPadikafT9jWPxs7YBWFfPiBm1HRHvCXI/c+ KmfB5/0JE9a6k0qR6PMPzhtK1/OJwJbnbDqIUiKQS9mDTmgo4s+zZsIX0iT3 EfM4TKHpj87GteZ/8idscdjVtPukMwSwq+dKfi8TuPrl4o/MUXDF3SdXM0rB JZoHOtP8wYHrvbsaZ5r+9/nki58x2LfHIm8O1oBV93rdd4kC458vdPPsFRt9 Ba7dG50xTQZu5NAOZd4bh1xPemq25Vospn+EqtjwZAvaH6dJYmThXvA/z6Nm gjzbpWvjLHHIYX3i/AzBscjOu8WmopahficJV2GIFphvJ/WjgPJojKU5Z92N pOmfeK2Kw2Q7aUJ2jzciW/ffFX3+Fhz+qb+FNg6Mf94RenH6V1M02FiQrfSY OPj0mY4pbop49PmHMbuCUhVTHHIGc4vSH7tYrGHCFqNebkLt/5axU7moBVyu eFRXJxU8fsw4b6872MyjR0n8yr/Ke+S/6J38VzlvlbsbAxg/fnXtZAZlbjxW RvmxwedBE+F/cXolHgvUVX3eowu2SH2nziYFll6VYLjGAFY0aDENmADPHJGl snsL9iKuLNOMAf8zv28klNZ5Z5Jfj0Y+MM62FhcVhT1oeCD09Vcjej6eSS9R X+gBb3l/d1zOBQ9Jj7BbOEA86sdejNdSB3/aqDooexiM9w/dt7srpyNjkZc4 F9fPd0K55fOvW1rb86fzw2GPpaqaUf/X+V7Pdn8JPndKsr/FCozHm10u3aEX 1uDHv++HYczxyBtrTsUu7+LQ5zlJT+4e//0+Fln7Xd1uM+FYrIuUaL23ugX1 X9GrQV75QHCIeYF6uRnY7MabE9+Og3ve0E7U7wHj+3/hq83t0R6PvJiknJhy Px6TW5Kuoj3dgvorxE7LyoMOPPX9Jtva12bk0ZMlv3+UQ3nelWA6gQDwI3db IR1zMP75wZmLfK/dI+Lg8wQDyU1nnTgsJnryTN++dnS+BsUH5Hm62pA3qxiS tdWhXCxS6MOLu22of++/6hx/LwXGPx+w+25bSBYJnn9fqzvFCv45NzbSsi8O mTUyUO5HVCzyBQPD5ksssZi0pbq3dHU72j+efxQWMlgmaY1F9pETFtVTA/eQ 8u/80QP1o0/xGMUagK/ZclVemIhG+eV44/NUQ0VxyEPcvdUhjmC6STMbzZNx 2OlFkz8fjTpQe+zrmEia8wbvCHio236oA53vK02r8y3EYDxfHNxw79hSI1hh 8ErUAS3w5ows6fmxaGQm1dVHotv3M9yBX9PItUtjkZclr9MoYbHYbz85zbUh OB6er9o8XXcwtjcW+eDvpjIeE3BV3McvDPNQnz3q8fA7Z/Cj0EO91ntisJBz CxUNd9rR+LvC8Dys7RgYb1+sKZDjYgqYsitSrcQc3DeY7MbJC5YVa7PWFopH Hgr0cDKfjkP53n7Fg+zjP2OR5x9MBGW7gImzk8nvkcRiRDPyZs7HoT+mPelZ M2nA8RVPxG4MQTzLsBnbDQaB8f0F5ghH6dXEI19aJhsnuMZjfldD6+58akfj i8L+h29tBJi6wIiVUqID+fGk4CKBBoznc5Oem/MKl8UhHxHVoMt2AVf0nCUS lt2+f7TIexGpdKLz646R6yzzBF9jPm49sbcT9Teej60IUH8z2ADW0knsO6UP /saxOhc9D/nw0zxGhTxUcch+gvuGnmXEIidRGKu0SMVi5AF3xy9Ww/Hw/JGZ /mKfKGUccr2VS3tRSizyex72JdLj4J+t5tSHGmH72vb14BhDcECnPzPdcjTm NU/mYBTegeILj8fbX1fyj8aAG0dHVetMwFyDbfO6vGAxBf0Vbt145Ddvm4gt WcAqJ0/SvfoQh/KrsmEuWx8ZwDaL5fqvymORtXLuleZdiMXc7g5NXmKE/qjP ak+hmIR4E8ir56QoBuPbz3j6iP6oi0cuZ9F/4P8kHmPrf/fq0QDEy9uyGmKb 3Z3IeP7U/JCmREdoHPK1J/Vv318BX/984uLr7es/IXTxdO3lLnT8/lvJ3eHE Xf95PncRnlaSHeCeBpPna8UedAH7JCcd5KUHhwjFfthiikM+ZHx+qrsmFlnA 4uL+tMux2Gvb9Qz6VDgenp9x0lufFtyMRfYkbhrZEwAOygrvW+QGL7390n+z FLY/b7yu7qMKjvizpyVze73A0s3H+zC4E8ULHk8exA+UQkvBJL4rUv4u4Cf0 1nxesuAp36OyTKLxyCdWx7yqVuJQ/lLW+elNIWqwYivf9fv5sch7Ek7/ipSJ xazlOCOCyKH9DeUHyc7Xdf7r/vNP/Qv6C35cC/HIY7U+/um54IciggGitvGY w+WdB1fSIB5m1pftFafBeL5RovhsdGxBHHKG0ZSOkBOYk9yPvkQ6Drso3CYT sbcbnQ+eL7R4dFZ7My4GeZb8MPWoFNgqiLmxtgPysz85buqkjcUiy/9mHpFy AIf1NZo3ksdiyvvVJAJdulE84PnBO+qtTzOGY5E7FRSdQ+zAR2Xe27jvAnNr DWwqxMD2Gw5BtYmS4P7Qiz6bbdGYimN0h/bVLhQPKF/45WlqXSp46R2//4o1 mDum3uGgJLjENf+ot048crvf42oVNvCX6MvKtGNxKB9IqJC1iKUBv3tgUvC4 OBZ5l9uJFw0KsVjYwuJ7k0yID7x8p4/KcZ3peORoYhX7mAywlLNy4YRlPBb3 xkynuacL9T+e3xtfM7jA+SwO2dlcvSBKPQ4jve8UgdH2oOPh+UdrU4NDj7Nj kFmpHG1ozoMbywKLYochn7nCsrEquhCLnOcldO6YO9hyRS9AnAH6q977z/yL kDjknQaXZQSugAkiWSFVvGAnIk/fcrl4ZIaIXOs3FOACsUG1+vY4lO/7SmRR TLcXfE7kMT9fTixygY74GM/2eDTIZ4wadoN4x8u/qTJv6I7FI+8M5ZB9nASm H+b1zboWjzFnvTBKqehG7Y3n50RaWUYdq+B9bC1PIbubHmAXwmliQ6U4TC1d uuF3P7Q/nl90aH9fHBYYg1yxoSKyKAjeEuxJlnsH+cs9y10Ryl2xyBPp1N7N 5uBKk4uOir9iMCLqKNXvh3tQ/KP8LoWDMpYHzrZwc0lyBJ9o9M0jI4ATujOX 1fjikY9oyXxe+RqH8mffm9PZx7bjAffF19c+BLuD0woOhl1gAI96Mw8/aI1H rinxvDfmtz3/M2Z+LGzWg9oXz3+dHX5yviUcvs/QNWsT32sEvvZLd2N4O37e /O/9mT5CYklR6fOOWGSBXZc+/TYB7+5jvZTxPQb5ldOq44NnYDOOtkhlLjBt bcprttJozMiOk2O0t4/AVJheyTAUgxXVYc/y3vURhkg+s2ffjsH6M7uP2iT3 ES5Jk69VjcRgpvL5pPZlfQShaaf5N7Yx2LEOp9MHWvsIHw13HewkjUH5qvUk PvNbg2CfM7tl8q1iUD6K8JGgGbCegOmJnmZmvNn8z+c3sQmYQlbYgtYFsBT/ ak0ID5g/QT28jwg8YUNHr9IPjj9M9bivAGw0Q7Zs5Ae2Dn9/+e7y3/c9t+Ix o8kPFWodYDXRb1zCOWDsIclTcl8wnn9a52ue+ToHvnMgRp/GG0zovHkyRzMB qyfhCP4i3YK232MzceIBC1hjMH2E6nszMr6+/6b2PivDPQH5WT37oSRe8EhG 06xTE9SndiFKSbgdjwWvxk37rTT+8zzCErGOJ0WHn/SB9zA03H5QClZI+VBk GwHG8xf6w20FlX0JyF2lVm8926GcN35IGlNPRPkgHal4VranCch6jtHWB1kS sD0/6tWPfW5C7S98LnVqtRp80d/rQWk0ePX0u/4aZ/DN9qon/QbgzyZlx2ZP gy+vFI3+YQXjx1/OkhXzMkhCtloh23IdS8QEVCj7/cyb/nm/ezQR2/s7hUjg Avh7mszhtwJgXdfaptkxcL1bhJNcDfiYx+1DsYngWM/zQz8fg/H81Jx5+507 ipC/+rK8meLRE4fNcFpRRq82ovvDLj4KrQO94INCqXHhRWBDEz2OuZsQjxW0 FMQ8imCm2rIpfUEw3l/3CR5hHEbQn+cWdTyEv0L5Xhk1y4h78eh9Xa6s8gHu HwnIVBZR1xfiEzC6V3+ClxlbUXtzzRT4kM63IPu482bsj4Fy+Zkf4+63wSRq TWzfZMAG7EROz6tgPHiIatEtBIGzZDOzLt4E4+/nfnuw0L/8GXygVJ7E0w8s 9S5768WzBHi/l3PgwwmJBOyR0vcC6R1taH/E6XZzbm2tyPj7kilHyY1C7iYg s9acEN/gAa/cIsrs7oP62dd0GNa3x3+UO1N36+tmNJ44xo1lCFHgxHPp+Xn3 wPj4bRF0pF0ahfG9Y27nzs3kf5XXXx9SkUlE+TaBD3VBia4JyOUi/YyVfAnY fanDu/PfQX9kKbHF8EeAP1+hkoixBT/8biP8UQE822e0fO8gWLdctWT/Jtw/ 8eNxTZWHcuskIV+PvVLpspqIdclT/cg/2YLiP/yShQMnA9jYuHbVb6kZxt/M Tf+VLCiPOTR6VMMTfNRSuyvX6F/b/833yfJQaTazg8+Wp1M+70rA3rlnJ1sQ t6PzDW56nMfW0oasYWwt8PwelBt4ktZrnAErKxHKp+rbUTzg+ZsLylcaHb0T IP/GSHPYSRpcYTB4P+8X1F///SflQhH4RCRPz7B1PEansO/5clwr6v+xRuYv 9nfBeYo80r8ugPH4ev7lh9kqI3hvzLculzqIx/kuGzWjt1CueWS2YOFWIrzf GxbGsHg5AfkOq5BtClkCJuBaqB3+EtqHgnnP+icT8HzB1ShuEbBeFKmPyyaM X+XxJLs/LWB8/3T6uj0kWBK8X36xk2dlJhEbWksbP76zDfXnJOOFW2PdrcjK /QILnUFQntbbzqtjCibucTAcPgrG85lrZuuniKnAtXwMHu/rEzCe+3Q7L13t QOd3L003zp0A/iCWRKh+Bq6ju20lzt+B+p9Pk4pJlgSM5ydjHD+GcA2BJaZZ 7gqGgimETK7XmiUgV5/7c/4sewLGWyDmdrgG9ofna25mEDUfNklAzpnuyHjA Bu5K2F917APUH5FzEaeJiMcqbRdOC91uR/Gyj4VMQkoSjMefoWZ2ISk7+OQD hzWNbojfdWbG5KYSKL/XY9VEuJmI8oUV40wZB14mIDMxzAbevgi+K191v253 Arbb+wb5Oiu051XSPR8vrcH4GmsrNKstBuPbn61Xq5/UT0LeFFbxLNyThK2Q 9O66OdGO+vvAb1JJ/VRwiUBa61exDuRAlcvOu2nBeP5xwDJLLvUMuOhErxzx rwTkgF1/5IyKErAyj6nf8ac60fnZHhJP8LIBhyQ+Ga9j70T9dz00VN14EfoT vX+r+viH1g9wyAGja34l4N4vJ3vrHMFP6hY33j5IQJbYc5j06okEzNXCVyWw Bo6H52+G2Glb2qwSkNldHyrqHQYr1AdzFc9C/YADoqfGs8ADt1svUW/fj3ir clzMUjsgfrpXTPUfgfF4s9xNJfNJFPyU99FJx1mIz6Rzy2I0yeC9Zx+nttZA fRq+H7lPnRJRfjC3ji4lwjcBOYfiZVq8AjhLlSEzbVcCdrLWwvIMJbQ/9T7t 3MJPEF862zPGsgIwvj2Vv8FB31NJyLX+H9WHFxMxM+WuaesGiA/muSQdCs5O 5JDoM7rvl6Eczz9eIkom2iADH/e7c+rS9v335RdrazrBLpiv0pEWTdwFf2by dtEh6frPfKyL8GGX8zuXVXDEYa+BiyVgPY0XC+z3wfxDZm8GHBKQRwodRNa2 5zO+NQGac9Gwfzx/c2dHt2FDUAJy7+QEg4gmWLJ5rT2IFiyx9MBxthu2H6/6 aMgcEo/p0SQKHQzqRPGAx0/PbG/VXSnwDeHpgqMrEH8b1uupc7ngE7MXrVLq oX72zYj3Rq6JKB84xEdNlWmTgMxVL+3mLZKAnde+9PbwJPS/sp7M+9JUMF7/ DfMEUaVeEvKLvBuj5tRJ2Dcirj9PqqF/59lvzvFsgvH8ofN7aqVgPnCgwl77 d2MJWPSa8Owb0W50PDz/J3aOpu/ju3jkkhjPEeEnYG+9K/rVblB/iqf0nrA0 +NwiTUjUjgSU/6HloKKUcgU32FdROp0FLy6mvm7ZhHwRc0PpQ6o34HNxjafU 3LfXr2I7A8S0u1B/4f1Z/vbqnCULWHvv28muPuh/Zs1CQYUUKC/2v19z2ygR 5ef66RRELW4kIB+d75ka4k/Adn5rulzTDPGOypkTon+qJSGvfz5caL0rCfOL vDEl/6ILtT/7Z4mztQtgPL8nXzAtzoeBJX5nRij8TkDmlrXZYVWcgPJzI4an blY3xiM7yYz+qPUB+9BW1Rg8g/qCb2JrpRXA9VbudXxk0N7eCqfbX5ImIqs/ lLwc/BbKj/xkY5IYhHKyYIPyhEDw5yORBtSKiSjfZme7I77cNAHZUo26ppsr ATM9qh65mQfxhZebKXKwv91uP9wViq+0ukiSsBGZ5KezdT3/WQ/1EDbPvz9j sQkWVdII864Gm6t+Wk53Bbd4ER4uuyUgs6kzVcQT8PvnAIGyjJTfUDwR2e22 d/XvEShPSI/StfVPRL934Eb88iR7eAKmvfvx0Wsyg+h68PJQJ46KAgv4PYWN 7NPMyjuTUD5o/aidY5NnMvbq1pUxLYtm9PsbHk7lThkKYE1vBro/gmDuMLtM dQqwDe2xPSMtYEFqafrYTPD4XlVWo2fg+E5e4cXVpv99P3uHexL2UqlAfrMP 7F139iplKdiF0OzKHA7G8z0tJMOXWh3BhKsngg+Qgi8IHl1jXUjCzN6ZiITK t6Dtuyec7nTxgM/tDi7dSwTG13+sn6a/OX0EdzR5zErbgZuCzn7ZT5mErQ2Y Sh36/TdfUJOMXab5058wAi5SCHc8UAumdxdnDE4D4/mAFXkeDzdjMF9M8peO +WSUT6msot3lPLg9nn+afJeebULt6fNThuRHC9jr58H9WTlgj58kfCYB4F9E Jibv7cDlcpsT2ZfBzt7hN4KlwGdaJeacDoDx87HTlH4Vv5iCdXC9kUnY9v99 n5/nago29V6KPu06eMMqfzJbCUxLf6ik8AhYoDzhaRkd2JjJx5TnJ9icdbKJ +APYgpNwbLwKbM0THvkuDozne7r4iSNiWiAflMVmqXpNdvv5p5MQ+4gC8kVa N9SJDs03It+8t8Osux3s8jS31rkAfM3Px9rLCeJRW8UvrNUALL8n8B0dASzV HDSnywXG+zew/xedaD84uIgjMlo9CeV/ohfPnlVyTMa2TOqHr59uRe3PTu9Y zrUffLqeP+TDfAtyov2d8+H+UD62KfygxxzcyHaWg6sM4t23Juf4pSCwqgWH mpcVGM/nMJFJMeergb/n3KX+tpSI/MmSdecRumTktc93CvblJ2Geoc7G+8nb 0P62isX3531oRcbXz7oZm/vtW8CrY7l3lGzB6adH+d8yJWGu0l6h9CPNaPyE DfbnPqgGF9gKNIxFg5vJ739WeAjGx+/X86nVxCXgsZpSZU95cM7FTa6vAiko 3yJsQvaurjIJYzkYIvCtHtpbYm2F50s8WK1Rk2vYGXwrqoCtVxt8Yu+LmWZx 8GxT6/MaGnDMU3KxigW4X+LHv7v2mbS/D86HhNOyzM88Bbt+bN8xB8kWFP93 ZbjpK+jBbuoSq1vLzcgj3upmF2r+Ve588k5oLPigzcHHXx6A6032BB3XAX9j zlSUDPtXf87u1Hh1HUxVracrfhyMv4/lm1c29c0O/NM4MpKIA2zTmkcXxJmM LHScX/5+YxJG/3tNnSq6FfVftYTdL/K74Ou35+NIlcB4vPRoXaIK9gJfaHhS ZS0AZrWf9y9UTEHm8dXbSzadjPIn/HZDs/u/QT5FbNlNpCckCcs5J+xbHduG +udZqUsT+22wuXAHmSsGjuFgK4ihBU97SZTRTcF4FP2m8uZpGRg/nuHVkDrj phTkE4w0O6KupWCet6rtxojaUH9EXa8N7exrRd53nJUa84byis4ejYP64OuW z1/uEgbj+Zu3oUMZ9veTkUeO21mV8CZjQmsyJbWaHej80n9VkDVFgrvk3Cqv OIA/vjB6fFC0A/V/VmayXSM1GM/P3Oo9n2F8C7zLwrBejQ18aF5TanlPMjIp 6xG9wook7DttplpdDewPfd+Su1Dj1U/w4LjA7oPp4JRzguHH9cHc73gdJqmS UD5CW1Fz6ExMMrJJcoLlFeVk7JONvbzMhU54/qnT2fM6ga/MJRXPMHei85mf bCbjm4fzw/MLpvlplCy3wSY5OSYLPGARw/oKnT3JyJGr1rLdVUlYevnDY1yv YP/o/ajozb7QFbCeQ7Z4RAr4ll9zrL0eODPE9+r3fUmYyU2m3WYxHWi8lFqc +6p7H4y3j8OC6OpqFDhRMotlVgFczrek91Y+Bdn6vqr+1lIyWv/P2z0nte6D fADZeMiZu15JGHdNPPEiI7Sfmw59cuAsxM/vSv+qN+/A+PZuI5Ptb7pSkD++ ZPM3urc9Hqpz21ebOlA8S/HKHi/h6ER2LNDeNfIdyvF8wnP74/GU2cnIBt/H PqzpJWN+V25qRYt1oeM7hF6NfO0KNm+/uRy83Pmf53kXgVVfpOG1Cbjv84jh Q0Zw5T29vb9+gyOO5X+iyUnCsMNPMFGPLrQ/fD3IJ/m98zN7MrI892XR7A4o v0VVEnD/X/WZKcfm90uBu0XcpUvnEzGKtZJTFM6dqH/xeFChTR4ZeQnW2nq0 j0MWTPTMWlCWkALvN7Xp0NnMJKP1/icBmlPJK7D+n+Fx3Hi9HX9TeTe83Rag f5V4mR3d88EoX7AqEvl0OQXZfu5+5o6wFKwsdVcmVQX039TGzrDbv8B4vqDQ TzWebPv+jtvUS9SA81gyJiY5ueir3A3z1zg6z6WRrv+sH7oIrRWHKgk2YEcm 7XwHHnD3YfOEWcpkZFYdiht0VUlovSl90NJciSoZeVpIVdGlGsp7RI+7VdqA 9yWyy2A80D8JS/O7aG2hf6s3Dv52YkmBfJBZ86N72/2Fr+dNjPhdtGdhfZ8f /prsY1QSZvr+invBB4hPvJz73GVLsSX4vbjH5kR8GsHb8/VDz3taArtQezIy O+SErYDx9X4QNw1NeFkysvL3zzedTJMxk1PZKvumoH2JpdYpX26v5///9VM3 QYp7lXreDUyms3vzgQR48DnzDMVMItS3NHrysysJKwnWPNKi043iFW+/C7Yy v84Ug9/PSf1MNQHXj0v/ubQvBa3fuw4IliUtwHr+JRPDLBaThN6P2D1c4aTg ij8PBgiljGU0X3yTsRqqu8KUnQPo+mgp+QLT9QbQ9Wn87/k4QHh0xaWvVQAs m02f7voTHP1ayWvOJwnb+b/8+gDBKOhs0YX0ZGT7qJtUchLglp6MXYbb8038 9+Y2+Sc9Yz4nIe93LGY2GUvBqjxWpwMMB/6z3hkklDIxS4zHJ2Mt8+oh1IaD 6Hz/eZ4NEvw0RFcjmMFxl6VJR36CE6gESjbdk1C+Iaj2cVtXbjLyD3rCDu+j YDeDe+9enE1B+YVPan8SLgxBvoHFWVfx/O0ULPdMuCiBaRCdL55/4DBeWUtf ScUYF6nY2kz+fj6bnIqJXe8OMpEFq4yEUqzygW9oG7g9JQenfA5wGPsI/j2s FrJWBVb9RF1MEQtO+tDRy/4IfN9O265iqel/vw/3gSQVC/6hoMjZC851Ps39 pBTcRHRkfSYSjOcb+lZEnnyfSEHeCrdkenErFXssSRGiotiC6p+/X/qGVxBM UXltdnM3uPUPPUPfVDMyvh65LP1Z1cQP3DNXqf6TDjwWYL4pEJ2CpdjI1fiv /V2vnk/Dlme5lGc/gs/e+NNzvgb8bGLIMCEdjK9HmTfvRV3PS0Wu+mVjeUst Da3/NfelMEi6pmLpdY8fZ8w1ofZcDqi/79MBPmVAftuyCOzBr3xNJQx8lNfO yMkZzPsxBLtvAmYJquC6dx68T/HzTkchMDER6YQ99b+O9/f8tOMNc73l07F9 jrFlT+83/e/3NHd8ScNmAwSfGRuB6zMK9aTkwAm1Z4SohcAPh9///kINziiQ fn1gCkzqMLH4oQlsfMKLMyoXXLkhqG4QDMbzEY658hZWTCmYHI3UlWc/G9H4 0I46fevpJ7AFv/Q9z3fgBwVyTzxSwc9q7k44uUI8Bj3ZHUl0FRx9IUL9qTw4 hVyYbJ8wOK/5dfVLGjDe378ZLuo/3A++zp7y29Q1BeUn6q4cN2Nb3B4f08b8 i+KtqP0ZFKi5pajBzumvWd1mW5B3kkz6u6VDecZCg5GhO1hjMOvICX3wlwJX 35YCGB8mZ+t1i/zBHxv38EdZgvH8w1utK4P0RSnIatLPLOiDoLxY05OZk3u7 feRVvxPTtaHtS60MBl9OtyL3vLB4zV8NxteLT6JfOGi7gadGlc04GcHxFyr0 D+SlYAWMfiJNPc1ofHnc4bHVKQZrtZcXToWCBYXU1+7eB+PjO/2W6ZnTe8Dx XSbeF56noXzATZK0OFfFVOwTu0s7z3to75eWcYuhSWDl8nf7KN3BJGSTR1yM wE3ntf/YnAVnitF/a2cD+7J3jh7ZhPsnfvzMRLupnVLpWMOrx0HNSi0o3u/W EG8cOAzm7Hx81XIPuHmYuLVyrhk5mckxfigXyo2JiGtk/MAHvvpNZFj+q/zv +yjZZZdKN36nYi3fn4cP7m1H53eJtEwn4FMb8geGCcYL2eCO3ft2mdpD/Tbh N+rK0mAfwbnYxHCIj3OShvVCluDfMm1zhWfB6PfwNk9tnVlNQe6tymhLCQJP TnsJMeht3/+t1vfc62hH24+q5ieHhILx9wNCHr12+egMdhJ4VZHEAmb+GPvj UUUKRnh35ilRWCuKH4KEwbCx7b+c5iT+RhGMx2u9Y/yy1ALEr7TYAbmBdih/ OZnrpWWYhvIR6ls+1ldCU5G/3dIXrz6SijXu7VHwcIX2ZRGT+RmrAd6Q5RTg 4wP7sPxYUNyA8X7gW+srmy4wvv/qQknySc107PB0pdZJwTbU/wcfvVfW3QE+ wNQlc6+/FTkva8/a6CMoJ7m+o2nlElhTY1rtuE47ao9LSqdlo3nAePsaJ8++ ejYK7T1wdPj7UgGU3/vpu4dCPg29T7GwdDv1o30q8iVrJ5l2+lQsq6Wyglmk A12fUaZEq/c+MJsGk6/KBMSfRkzb1GomGM9PTGcptB5mS0NWCqMvlShLxfSJ gsMMpDphvtSyb/6FBXhf7x/JZ5sdKL7wfMOI59ZV7aIUZLYwk7vVVlBOGq78 kXhfKuZaOiIm0tCJtsfXh43aR8mJ1MBG0bWdU0uwfhz4umgSHwrr79OTv0LF T6UhG0Wrxyr2pGI6PcnWcpxd6HwjUg9OZ9iAVb3O7PUm6/rP86qLoPc+1cJq IwX5RvS0wqN48M2P/j4MBqmYQPGPULEM2B5fb/Ud01Py8QMrf7in3ngYXE1L XGHUBuuzE7fy7eXsUjCy5be/K106Ubzg13v+NO8AMz34qSDXm7RcaB9riuQj jZNQrir7SNfpQRpaD/P+el9Bq56KXWRX4Gn/AP0XzS5kHRgLxutLT3/JPWSQ jhyS02nG8nU7PjlbXv/u7UTxjq+XmYrFQnfwg/P4/MRul6diV7QIy0zq3XC/ /7v+XQt6uiJdnYKsQhzz+KEblE9d9hZ7zgbt9VVP2YtrFZxIv7n/e2saso/h 2Im6K2lofSp6mPN1mcb2fNn2p8+ZDuhvvPxkt4qKolM68qrw02sfdqRjXEab Py4MdKHrw9er18aIQh71p2BhxMleTBd70Hzpn/VUD+F+5eQZupsp6Pcbhgfl Kc0j0zDu974Xooz7/vl96pA09HvXLD7DvrVNqdisYQ0DXWI/Or9/xn8/4ect 9anM5RTkrILx2dFrYMagTEv5gFT0+9JFn89ap5qkYs0zc2n7DPvR+ePr0Xfh 2KbQyTTsoohxKsPMADoerbj586emAyh+0Xozo33/Z4cU5MyS3FJZpu34GJ4o PUo5iOrj67dfWymyvNvrya2atarDDtv1KSLphsbTMKG3nuNmbgOEl/tu13wn S8c+sBgVNVgNEL7K+wqydKdhKx+Mexqn+wmxkzeNRG5koPXcFmFZZaE6A4tQ oEi0t/r7eYtABmYnSmFZpA5WZKaQ+C4B5iai+CPKAl6fJn9/+08Tcsyzwx2q Y1DORk5jwVQHjvJaJRpNBR/YNRSR/gw8Wn35gOVE0/9+/77Ya3t+4tuYE9AI ztU7I/MqBxwqkN87GATG13Mxw3ql2QzgtN+nPEuz0zHya/dlE2RbUP2VAN4B A17wSEXnLcZd4Maph1ud2+s73Ph87g/thzB9vgxkUikjD+IIKLffDDn9niYd Y5ljM3n75+/8vzEDO0oqP+0/BT7PbmdzpQ1scDxq7XAx2Fat/uHvaDA+vz9+ Mr+CVgNMZPrS0Ic8E37/QsfPtuVrOpZJV7iQOw79Q/3mPJ9YI9jecsiwKAc8 xGT9UjIYfEj0HDmnE3jJh+jJK2Nw6dTrHUoXwK7SLs6fhcFyUad/2tOD8fM7 bSRw3vB7Jra26iNQ9rCJcPv/4t0iE1M/rPx95So4y3RP9VFl8O7wlqeWx8Cm 7b6aaSzgU/7Dks0T4I+a+VfWmsAPmTw8ufLB7J+0cpRDwfh6LzVKoyrpVRr2 SnaL+OWPRjTeT9HfMNUaBr8d73jDWAe+UHiCYzAT/NxbyMnyPsSnioGBXIoR eM+R59Sf5cAtRNUfmA+DfXoWUjRpwXh/KwjtDFyKA5N9HsjqWU1D6z0WaW2q AyoZWA/XF6k4gVbU/r+ufYzJIQWzZXWSVI21IKfwnDPeDIHyeG6tUzG24ChO CwaCMvjxzPWUQw0wXro+7Sf+kwLm6qox6nwCtq23rUy6CsbXdyl2PF58DmAa gYDn5j/TkDc4Tfsmf6Rjp443yIwyt6HtRRVNTlsstSLzGa5LLDWA8fnwaMFL h/VqsFEGrcqMXDqmdyBo48xIMxpfPEQaW0bvwAtT1Dvdk8GlLe0kSU/B+Hj/ 2UTj4FUCDv3mfv+MSiZab/lzPU6nqkzHbnS13wl7A+1Nk/bqTWssuPxh5F5i V7CZppue1BWw77hQ18pZ8A83J0oaTrApZ6OsMBEYP/7718m/HdYysY11A4ZP l1tQvAcmz4klHwfzqzmrWjGDK9cpLSV+NyO/CtFN4SiG8tv1fCJbL8FCa99f DduD8fXe4x1bTPuSM5Dv5jKPfhbMwBI3s7h6vrSh8x0ZUFI4VAa+afSuofhB O3Iy7ZYipwJ4pO5UqzcDePFECRFrJMSHAOmgcLAN2LhjXXePLBhf313PGn50 5x54x6f7Vn9Iwf4ROk3si+kY0au7JT6b7Wj74TG9nIv14HJq6WQafzC+3qh5 vS4jRpqB/CT2oZBJAJRPcn9+cZEzHcs32sdLU9iK4ov0afCB3X5g3Txm2s0b 4JyBGLLv58B4fF/lf3D3dwW4SvzG+pVTYMXNXeEXpDPRes3qfl4MUXM6Nk// JEPIF9p/dppF7bcxeLoyb7VJAkxf6eq7vgf8MUbgwMgE3B8S3TrTayrB+PFM u79dG2rLxLbeXiq34WpD8UKZvWj39VcrMmPYMyHzLrCAClnOyzio3/J6+vOc PdhGrJFOVgmcYU2yunKrHbXP2SHy4cATYLz9rd8LRw89BKdUm7HYrWeg9eB5 p5iZgrXt5+k5trHjRzrQ9bRFxfoL04B/F96ZspmGeFzWCW68ng/G99eqeNdQ 7lsmJjrPmTK81Y7ON3Y88Q1JI3jvEN+HQy/AR/qMd26wdSDj6zHLZ95Kl15k YKdfJV0blexCx3v59ovw463O/zw/ugjSP2k4e63B75SLLsn/TkNelLAKfDu9 He8/PrdyFXSh7fH1QIy+06pHNTicpdDI8BysZ2qPLQUcXM3ESL6Jib1p60Tn i69f9HbUl9Dkb99PW6M53Li7IX7+fj7k+v2njsFqOjLvWJiL+k3wRPnchfxp WJ8sPPXjaMcykLduqZz1MsuE97fpdeSYWjLQeiQlq4PKcSMd0xioja0JhfbC f+/vFgf7s2z3dMzqhRDZWcpewiWKMwckpbMxvgLhtw4H++F+8vf/aLpaEq48 u52OSbybHWre7EXxhX+f+NyezhHbk5mYrmFFWyTLINr+bsh1piOr/ag+daPY rzLLv/nEzCxMPNRvS1IDrGP+lbToONj52Pk9omzgOKIE2pyd4FPaRo8CPoI1 401MQ9+ALWfNZGOSwB4S1/iSn/7L9SGSHlNNBKX/W89QZGGl07yuv1vAcxSv 3tsVgjmFZam/hoPx+TfbVWfNA4GZyE4tqb+szmRhJau1wjWaLai+p/rhe30S 4MvZQe9mGME85L/3bP5qRsaftySNyXVFXmAzHS3V/i/b4+uIrhztr7/zMeVs LH+VgXfnGFi0sodkuelf5e4vJkYL/1WuoFbbGQXG51v0Ijv8enWzMaUFL/nv 002ovTgM6WLz28ErzTGrNsXghpOHlEWiwdHprxLmHoNNtJeySm6Bp8QqQ55o gm9ReT3SPAX+NqN+k+sgGJ9fn2+anaOXysFyrCXIs+42EYb/L97msjGv5zud 1w3AxlntC/Jy4BPNUSahwmC6rxY9k/vB0rRUIe8XwYK7zOh29YNp1ksCZKvB v+b3UD1OBo+Omvi89QXj823l1RqVivkMjI9dCNPZCfNxcZOZAfuvjcgySam2 QV1gtS/mFPnl4CuHeBLbEsBF0+fPejyCeKR0m7KlvAE2ZfZMfqEKLsvnHWQ+ DqZWrNsTzw7G+3/Y2EPpky/Yxf3Rpfz3mWj+PabM4XGSZjs+CDy9tpKtMP5m qV9n0IP1QzfTxpdbkM3OfX3B2gm+4/XL4FYC1H+4x7uJ1wXsFcgk9VkXPB1H xrq7EMZLJIFp8kgQ+OIwf47OHTA+v16QkBErCM6E7wP3EV8048/CCJzaCc0s baj+3dpdo4++tyJn3CjmkGwB4/OLxhodFSddsHVnYNRKUyZ26/kX0fhPzWg8 mcwTvKffgrVVwj4fSQFfzP523PEZWHavgn+1NRgf7/zMHGanhcHf+lr2fhzI RvNfx/B9nqqBWRhxv9VzQj60r8tV/TMZgeD1Jfl5ejuw9KdHy50a4IE7Iw2C EmAbirOxbozgXfFR9oO/4P6JH7+lUpR/yCMH897kNhG81ILiP52+pfmHJLhR yF6ynhk8I8MeH7zRjFxOtkR6JR/KB9lS+o+/AP8U00+nuQPG59s/fYb3n3qd hQ0ftdPiWGhD5zdGl1jN9QZMFe71YbdbO7JctKrK0EWwczzj6yxWsIqcumdn GMTHE9msLF1rcNW53d2j58D4fHpnnPFQ5vb8B7dal1ZV7MMsbEmE6JXCajuq f+rrvIpFNRifn5W8cho/6w8O+ZFMzLMTvKPocpHHg0xsH/P0OeW4VhQv3afL P0k4g0ONfR05dMB4vGaaHjC9Mg/xK/7ZN03SKxvNX4ulG9wD9LOwB9eSktSD oP1iH9kn/LkBrok4H5d5FiwuNU1+kAHMRn/oPNkijN9d3265z78H48eLGHKQ ucibg70LaHl4m7YN9e+jDo+TobOtyGepz/yoqgV7vOnlavSD+hbN6peiroJV +lo9bU6CvaOFDplKdqD2rijxOYIxgfH3O1/6CDLs+pmJHHno7mTZbXAI2b1B Is/t+YDqLSuGh+2ofdvbi20GFcEuajvtopjAeP8tEUXPt3GD5SulnzZWZaP5 8wh/MfOYcxbWe/wXdTz+/dbt9vqRrKBsRA8WYjGZIl+AeBVePsq+rwSM7+9X 22YZl1oOdliE1fDCTDtqj4avYb1D+WD2Hhb9qqMdyAVfhUQZaMH4+45eFjfs xdazsdXdSm0H30E57+Tyt2fsncgD4XtlI+ehHJ/Px3eFNlzlyMaYT1D7hnB2 ofNF7yfOD9UJuGciFwhyfqvgyELz3U4G254tsiw0H393sEkxnD4Hs+YgN/g0 AcfH8+8+M9jdJxOZ6PeLNN47slEe274/R32Xv/2xBx3/SavO9Df9Pnge9Er0 Xd3bi/ovzt2bi3FH33/6s58wdmWVQtU+C3taZlL3SbUfHf+aipjHM6UBtD8q S7PZpKMDqBzPV1/IuUTl/iQX+52brGxs9Df/IpKL6ekvsjfIgUt3nVg6chjM WOBeE0oLtjdsebmFf19l29WS+jnjTVAuIsGh2poLjjk2vlgcDN4nlhoQdx8s TCPwlnmliVD2f6f5PAeTZo+ZCvwAvixEv4eiBnxT6pmoewbYRW6H9nogGJ8f F3I9T2C1yMHUQlLqtbRaULnZ47pu7RNgh9sTn3VYwd6GxAu6W83I+PNQ6/7Z WnKfHEy76weBZePv/KgtF3Mgofo5Pwl+KcmT97YdXHTj5I2XZeDuCDVOi0Qw ev/kD99p4bVcNP8cJT90cJ4sF4vSlLRP/wztbcR6Vk27AXxwUk6INA88la2y qzAULF5duTvQFSzhyh6sdgN8HHvESa0OliIay2o/AT757twJf24wfn6iG5ee 85rlYaGcSSWX7f+ZPzcez8OyD4+X3rsCrpHiLo+8AB6SNamoPgr+phZXOcoM 1tbQHzOeA1+jmBOx6QHbv3N+8LAS7OG0t8EnCfxCLIY+wheMz48jJygD+29l Y1pxISfa/zSi8bEiGCi2+QUcWOgjJNQJPnLGk0e3HNxS/4jNKxFs/in45/h9 iD+2Bff3lqbgvj+3Q1YVwX77jMxdjoEvcKqI72YF4/EgMPmDdHMvxMfnOp+A 8iM5aH58nTwtqSc/F2sZE0p7K9WK+kf1iqxGCiO4a9Bg49laC/Lly/YpNr1g 5TMfiM4kQn3eeR5ON1fwnyjrs3X64As0HSN8hTBe5L3bPESC/2WiVkFJezA+ H56+tNryfQc47rBrcnVmDnZuv5mJHF0bql9jWk3uMteKLJvHXFBcB8bnE688 1bwftIP3FjREZ/LnYEUnk3ZZtzej8bWy7+QZjyKw+GT7nYhw8J1y84w8FzA+ 3pmYSQRp5MBFOfmznsR5WJNi2wJpMbSfbrosQSIUPL27wv/qPbDjNdHPQbrg pvWto0mnwSZcb+92cYB/XnAv3UEM9rc+tyEyBfdLfD48cUxAzNAwD9uxPUX/ JNcC483qZouWINhTJPhAxx6w/GLVTYVvzcjMtASNz9X/Kr91TEslDuxQy69X 7gZOZmO9wm8GxufHaTki6dTb7aXIXLzkNt+GzjdQYUZL9TW4+Rnjjlm3duSJ yggfZlXw5gIbozwrWHAH44E4f4iP6Q256bvm4LRfd18pnALj8+H4aYneY4rg xliLCsHv2/HBn0pWPNuO6rPoCpMsFYLx+dLuWlX7eqpc+H/O3iI5DZMcTHwP xTuB1FYUL8JsbJlOj8H8IkeDW4zAeHxyadeecHEFP6dKrbvEmofmp4q/Jo+d bsnBjn4SZHF6Ae31qbN7VPYG+Fn9w/R9Z8HHxFl/dO0H6xS79dItwnh1lvpS eKkBjB/veyP/9DfnPOzrqai2HxxtqD/36scfPvyrFfmIU8oz4y4wM5bQxxED 9bu7UkwL74Cfm2cunFcA49+vyvUwfUqmlYsJ6AdQTOh0oPM5LOUpJ5cEHj+f PlfvDN5dVCkWuT0/xfvHdI+hTjYdGJ8viwUq+wSYgJduJLhN7s/FYgcLV2Tf Q338+zu5B/X4Xq6BXx9Z4gg6mYN1p1UoU3i3o/47Q1LxefwyOM2o/G4VNxiP j643/rot73PRfFi65f4n+60cLBrbr2UiCdfzJf6BGzsjmPtD6juDJYj3C/XP 2ATLwPj+RsOa4jRl87AAjxOnxFrbUfvmUo5YDgWBl5NnxmoPdiA7ifRcSicG 29EzNrquQHvg7zt5f7tNfD0kB9NbVystzO5A12f5dfqr6RMw3l5zrK+viNfl ovn6jmB7VvuSHMznsy2v2RZcn8j4xf3p7WC8vuiLxCXDU3nY4EvxR10VcH4v GWWkJ7k7ka1bVbiezEL54/j4x4fPdhGKfbNv9lPkYPNljaUKqT3oelojW+nT uHvQ+foZJh/Y59uDto+T7+z28+lF9YU+7WVtIPQh4/nmwGhBs+YfOVgj6041 i8C+/9xf+giMTrpVLsdyMJWGo0N1f3rR8fDt47uebj1h2X5eqPk94LDpQ9fP EkN50tCoD53PqchvTDOx4Nzqo6+/2vX/537UT3hIOHW0SgTccrPfwINne7wH UAtcPDeA6uPvw3T/YfnctJaNXGXyJVK+PAd9v+KGHKVuxnb74668GfWU7H4e Npah+ceVdADi5Qq1EdXZgf/MpwYJ+YshcWG2uZiBCdnTXNdBdH349yF2sHHR 796eH06wi1+KPDCItnfUo3p7RAOMr0/GeJ+XlxLlY5tb5ETthv/kpx4N5GFF 4l3aI7LgWxYROYtCYO4YU9IddOCBrkMG1OtNyCr8lAZyo1Ce4lBY8r4evFWn T6eYBdbeT2LTEgjOu5rVdNERXOvgwr26/Hc+/HS7/RaU/EQ+gAOuMa9frwE7 DE+Zx2eCDbWKOoeCwPh6hVmYM9TdKg8TTUnXq1BqQeUqFxdGNI6ALdbEzL/S gj1iHL+6rTUjo3x+0u5ovy7w6TlxzXc38jDxMUqZQdK/778L5GOKjkekTL41 Ihvv0RSZGQI7xjvw2NaBn0tGsPzKBSc1V1G7RYDx+aqaGN+G1fc85C8i5YlG 9/Ix/YN2B4zGoH+aZowfvGkCn8hT/cBVCE5zOHvqcSSY8Yxw5MRj8KUvQhwG VmC7h5dt+7TAAXSuNWoYODc9bX+zILiV0HVdjg78YqLKO/LhP7//IHk/H/Or DlUxvQ5+FmZLI6gO9rRT6l08CXZX5g0v5gHfz3ZOIV4GW0sZkWcNgU1rpC0v 1YC1L/K0b2SClQZ3iSUHg/H1zJuItp3inNvtY95yzZEY1jv0vBXHnP/+vsP/ +dFE+g63fvB8Yljrk7dgXTOviGeZ4JEXHNRWzhCfOgrvBKrMwZ1bV6X3qoIV i3frGUqB31lm2GVzgfH+b46SPmd+Nw+tX+gZO435SfKx834eJcdEWlH7u13R Urm8F1wpIjDuMNeC7H/b6ElsKJS3HiWmn70DplxKSZBUA7M4JMi21MJ4qVvu S1NNAdvaUO7t9gKzzhFstSzA+HrljUy17E5rcL/vLbWCnjzsLLnC5yf8bag+ 26Vk1+Qd4N8xRBx1g63I+PwvIqHQntIlD1tqouQSamtG40eVpcW/sRCcbeH7 53o4mLJM2WqXKxgf3xcK64JFZfLR+uC2czlVRG0eJmXx3Sa3GdpveXhn9bls cOYl2j0DfmDzJi49y9vgaIcx8esaYN9dzPJMkuAHIar6jczgm3ye1k6bcL/E z8fjTsKPJ0n52Mc3oWfn5VpQPF+0mNisEQS/pRGtitgLPlb+0Nl2qRnZZdbZ YKkKylvj5z3/7/cccLPpXMk/4wa2pGr/MG4KNnCni6KhbUfn9+XZ01tvx9qQ 7wRtnrQtBBuafKnoc4L6FXNMr0+fB3+1DRm+6Az9vfDizKcidTC+/jBQOcp5 JjQPC40Kaxb92I7KF93eB3ElgPH5pKXd8M4Xr8CadR8LCfLbzweHm5Tk8a2o /3mPSSbJPAQzfSM646wLRr8nwlhScGQK4i+VT+NQ5eXt+z9pXNYHT7jeIIXX rbsNwB+eDy8cEwVfGicnVJD/q5zFTbdyDMabqcbPO1UVYPV7LL/qOdtQ+3M5 m1Ba/WpFXnZNY6PrAksYN1k7O0D9VlUjDSolML6ekOa0fPKJNh/jcK2lUr7S gY63Ln7E+rYnOK7AhJFHuAO1r7fWpJr7HjC+Xqhk4+MX1QWTutBs5nXmYfma +SNybVAfn//aO1ErpurkYWUBEUqvtNth/NLILdzlBuP9t+8+mXqLcD6az4c5 Gb+N3+7fxY2+jwVScL4eu3b6OzKCFciX1vIXIN7mIksNWwvB+P70Ml/VxL3P x3ILc9kYx9pRe53dMrU4nAx+cPltso54B3LutycSaTRg/PsVo64xihI/8rBf MnvbGm91ouP9McyipiXuhPv/3/VD+TF9c9q2PPR+vxiNv1rVnTws8pdG/LnI DtQeePtNWCddeTKah9YDCV6rObJN2/G+EUvTwgnHY8/kP6M6Ce0x3lYxdbsA jG9/cVx3xsEjH6OwUwrFXsH1yBqeOSExDy7e8ZNzcLST4KWyRhW8kouJfuqb wr73wPX9lL6Vc7IXWXmvKce55p7/PA96CAwtDPuEPPKwmYu+gTXmvagc//9H eYdRhaHt6yEqpqoqEupB14//H4DAn+5k7tv5mPxyjLhoChw/psGkoGdPL6qP 7++nf/JA1sl8bE0oPLnxIZwf/v1ukVuVz9U+gk31RALSOPKx20SmXZ6pfVDf 1q/5wTCYi8Ux7CZ9P8x3R7kFem/1/ef+1UcgSLSGBARuz0dlHZSCDvSjcvz9 nXDBGNNz/uDOw2urD/rAhIMPNxwIeVj6Tv1Amd39MN/8W37ML77dkgE8dXnZ 4oN6Pvr+gM7Ry3vO++Yhv5p8YB3avt2+fx7NvX4I55+yctTVVgGM1/90dVCL 4SHszz7oyVGb3O37izTF2hxPPzx/KBuqyS+BpzJYs0Pcwfj3FZKysPb57fnL xrPbQS8eDKDjPRqy+306Gzw8c1A3fhhs9faUtKnpAGo/fH2mTFKaMyYFPjWg Zu58B8zE6q15LyMPK3Df8NHagu3x7zfcv7PEfjIKrEcnr3O4FawcKjt06was 9zQakhJbErbvT94lv7YoB9D1pboGaJ84ARa//uMl37WB/8w/BwkjmRe8t0Zg PdjxQs30JVk+1s/cK95kO4iulyJb89LBY4PofPHv37PeNNxoMAR/+r3YM+sH /nHPfNKyMg8T+ODnKVM+gOIl8c3Y0//7fghu/PpOFZc5kvyG6/1ZNOYyzw/l SzXPZF234wlfn0b4krXZvsxDNhe0KQvfni81pLlMj2Bw/mZ9jv09+8B4/Syx Xz8kgmF/tVyUQUFl+dgNleKc1Vlor/oCK77zTIPIfVG5r91kwdcVftMNmf/z /Y155gKM4mK9gYEKOFsjMHlYHKymbbBgzApe1uc/Pk4MPurwhvtzK3jq3t6G ykJw1AM9q/BwsIZLKq2DK/iheYiz1Pjf75c35mPVH8zFd7SA/6hLzL0vAhMa SJL8o8GuZ3v0tT3B+Pq2WOYuu3l3PvZrOIV77WILKn9vd+DEoBj45a4A1UoG 8NUIkmux683I+HxX4V5Fb3BJPjY+moTt3fH3/a2bBdh6x3z5wdlGZJo3khIn +8ACua65am/BhJgGwetZYHy9Mnr5tzBtWAH6vOslp8Tt44P5mG6UagbvXBNq r6rWIiaKXjDXFrPXQhX4yVHX1a4U8IzJhFmJP1i/KOkL/31wv7yruqgZWPOT bsVJFXCHrTiv7HGw8q59/ipcYPx8d36uPMC9UoAZnJwl1nH4Zz2WVF6AncHI jkUagznO85oOK4J3KMsEckmAx9SN3lzlABsXuCUemQYTYkTpzneC2Z+NuhuU gzftA5ftEsGfTKRNvX3B+HpW61py4VeR7ecbj1iHCxWsd2VmWWOFfzUiP8/f bf1xHDzouHzapw3Mc/YT5cky8G2ShqHpRHC74QsejtsQn2JntczJ9MAv2VlS ls6Bf/35NDUkDDYYieevZQSj9e0FZd0XJNvjdQfv+oBEK+oPnoaA1HZ6cIT/ xqX67y3INNo3dlZ1ga/aeAWeiof6ygs35qkegiWsFBXGdMDCAgsfk9/DeFE6 M8qlkg620Oi5tvIM7HX9fWakJRhfz/LPskt4vMrHAkusNMR2t6Fy/6NJ5pEj rch+6UP3SErB+HqitcfrtWbr9njV+WFW2d+MxlMOrV5LShX4R0uleGAiWNqL I/qBN/iZtDvpNRswPt5Paa14zRwD69h4fc0pKcAeYUlHJguh/QKNWC2evgQn uAQnCDmCC6L3fGzTAa+cGjyYchq8+WtUP5ATvKv0a5AzCZjK4Xvz9Wm4X74R 9f5oqtGC4jkguHRDXRJs/OMLqzQL+Kge45mjf5qRdTbv2lY3Q3nGaKWUYjZ4 s45kR58fWDVD+b3J7X/t/+/nb05Pu78FmW47NMBs3+82dH52IiVjLxvBsgaJ dseutyP/8B9+dvMIWO2ExK0ST+h/dTLDr1/0/uV+DwumI2B8fVt9h3dLzBlM ditb8DzRdvxejrx8fKsd1T9HrkO+/y0YXx+xSf95RLJ9P7/uz963kNuK+t+H t8zT3wecV6F5/Oh1cI/6wpcOGTAej39SFzzuqRWgz7uuKUr9uLD9/EmXyHSj CIf2yIkbPttsCS6kpN3wwcBLMrFUCQzg5Qhhs5oFGH/LyxUlE/Vg/HhCxdQs g6vb8ZhjShCgbUP99U5lmjtsphX5+5zVLrK34OCoKlmqUKgvdZeC860F+JOS 9u87p8GdrS9U2Q92oPbE169a6wouuygKsJKVxK8qg1COr79MI/MlM/zyMVNX DvcJj3bUfoVlpaYUymC8f7h7Fon6tAuw6RmWJwbz7RDvB2rpAzPA++pDhxlZ O5Dx7xtYWrH+POdcgGUGq2W3p3ej9sLXK6F81S+SRMGC7DZfo4wLMLZPDJIL dX2o/sSTZ7S7l8DNWT+NL57oR9eHrx8kb32s3vsNPHkt99KqN5ikT1MxvTof fd/5vsCN/XqEAuSJWIGki9cLsMbCTG3n8H50vLPnw+g+vQNH9b7etzgLdl/+ KpNs3v+f+O4nbJDETlbGgam4GYrNOsD/j6v7jqfq/x8AbkVRKEVJaKAUlVHK OG8rqYSszIiMjFKUsmVEkZTsPZMi496yGkYh2+VeRLIiZKayfvf7+XTP6/P4 /fl8vO89473O+/W6557DHDFX+WeJGq/uES1P5yLj38eflxXREHWzB/zywfvi N2sKcHeWPY1gCIBy7pGFpRsvX6Lu1mVCwmIH3p6087+Z72q8VRD88QHLu00a 4CS3T5N/3MB3uvcwjKQW4PGTD5Pth7E+iKfmVjfwW7JT2z/Sy67rCtTHU/0o Yul2sNcrtbIFVTDt+6vlXsZePWDbrq/FpxgK0TttPT5n4U68P6216/nhfgbs /PVgsvQ1MC0+qzcR2m8qCL704Tk7UgavHj4ys8u6AEkpCLDGh5Hx4ym7yJ63 QADPSb30PNoH/t55tf6uArRPxhth10N2YFq8dmiC/kLbY7Dam+Jcvgowx6JS rMkQ2Py2hEw7WwHqba+2DdxEwbdHi1/4vh7SPzAObpTo15HhLMC9c4rU1Xsb yg83ERKupYAVX0SZM398iRIvvHGOHe3E+wOtv2h/z6RPEQNjTqdE9+uC1Rlc 5PNvgXWyTxeSEgrweJIrQpPpf9d/mm3kvbr2zL9EWpfKmePkof4OLr0o3GcN NnoTfpC8GUz7/mu5T5KcTeBWe4MY5inq9XOw9ZYPCxlv7xvt+kouB8DqL267 aGqT/9/6koJZWX4jjOwBf5VMivqtDDZn0ndjsyxA69V/bHrpTYHrQWSefqoc tActPg1ZU3/+aRCYrfbZytAzMKvKysVXTeDlYxSnnGnw1MGi2/Fc1PGVPjmj 30LG24PWXmU/vW0yJcDrVP2/ueuC2aPflCa5gq+wDib4RoJbPNb6WBYX4PGp 3rF1y+GfIV7VV09tCKQrQBlcCiZ3D8L5+vBF9CcZgH+ZrL14iQVM+z6Tkt0W v3f/2b6J4G9SLzjzRmfPviXq+vQo95PHayl4e1Q7x9ILiIEPWrQvpGtT/t/1 oh7zHb42lfWgEDUYb2MfMP33/ixj40LE1WpWnq0KNjyZ7uAkBk6qGN0utQU8 JHWw/vdSHW6re2uGSnqhPPjrdnJJFfjFMYn6khxwW/jJipJw8K8Rs5clN8Dv 1+XXqM38fd4ZG/V4hUUKr3eDycqJSUlV4AHzLffrn4MnPO+7LTwB0+Jl8l3h 89VfC1Dc1aBL8kqf8HINC1brvcLgVe1Qay5WcL4Sp83KRD1u/Hl6ZUvJDKqF 6GbBprhHq7X//n/uWSEKUbm+kfc7OKGjLSi5A5xvK7Ui/B5c+eexy/PnYFr8 wyd76XwcuRDFcdjt+jkE9f0joklbugmsxH3E1+UV+ElMfH5hCniUj/HLTAi4 1kDGm8kV/KB4jcmtC2A9rjaZSXXwdufkLZZS4K+NjjOd/GBafKwZ+Pqx0OEi 1JlnILXe9d94btMStX5UhXSfXQDzdM9cP3UKTLz69tGoFPg8c1jhXQFw6tGM Bd0h8EzKz7NFjWCl9SczuV6BI27ELF9LAX/9MqbbGgJ2UXI40bcO4mWvm+Lm m+drcd/Nnbql/gUc0V/wyKseHM/t+ryQAM46ffTDtxSwYYOy/Tkf6H+FHe9s 8y6DN3zBrNfrga1Hyy3tMPDbGVmLmn3gbUuvzXZvBtP6h3vrcf1KyUL8998d LlqrGTGF6IT99rmlAw14+zwsbtQ3ZwP3rPq+rhz9hLsxVzz5TCyUj5juOCvo CqbjWL80q/mf7V2LdnYvgfGh2bahZTYOzC5155CDJ/jT418PBs3AtPj4YFOz DvFEIYplVWC9K9yIl3NfYhEPXW7AHfGmWTuiHUyLR8LsSqUXvxQg4ZNjLZ+b 6/Hxoyqi/riXALZiztbviwf7DzFv++IHpo1nd95g6dc9hfjvq9bXL0tzihWi QdP1DeEfob5e8fvGTz0F3++bt9e6BzZPviyb7wCOWige7j4LTrpVXl0hAc5c rEpP4Qa/8Px0x//Pf+bnqk0/VzU+4f2XuSUptuYw+PfnA1joFvD42OsBnd/1 uNN7tV9Gf4TylD3zL4hPwYmXo3M7QsBx+bI58/bgFYdXR26uacKPp7fVktOr uRF3fEc9w0cPKLeq8XIdxMC8UWI85b7QvpbaVqQmHTAtvr1x4xWZ4SR1/v7j esi1ownGy6e9jwofgmnxU6HU2UdVuwoRn427gNyLBrw99YJ1Xr66Cw57tl9Z 2hKM/5+q2ryj8E4hMnoo5CIaD+eTG3KmMMQRvHzn+syYAvj32mEPYy6wWpAm w+gojI/INa+DbrwF3/b+88H+7++R/4wP7hO1qxxgWny5Y9+yRuZiAdoYV/wx YhTKPU4nb7a93IQff/Pnnw869oP/0K1TXH+wGd+faLpW6U8m8Hlmo0rrd9Ae tP+775se1tM+VYi+GM+dj1Rq++d+NzHqfBLj3FXIZ9qG7//f+KEN6zhcxXec n9oec1OxqtTv0/ZPi0crXOWeK+WCFwq5guMXC/HnJw858fKc0StEkhF0p7O7 2uB6VHdzQjwdTPu/T0Oiq5vKNfC7Ub/Z/MxCJPI6Ar370Y5/fu+DyVa6bSTc b9HOotuK4OOM9Q7P9En4+dB+/4vnChhIEQK/0LCtGjIC89/70ig7WYC/39vv t5Ynl2Mh7qpEyQ2tUYXIPjvsplM37G+2xGMxlq4Dt8ir4UEjIfAXhjdu2qod MN//vb+xMSrlANdeMF3ClduJOuDHuino+6cC3G/X2Yr4U/uL88za6PZ9JLw9 aMc/7ZfPdfc+mF06bs9cGdhsU8JL8++FqOZ/050HCVMIOjFI4QBXvYi+pa5E HZ9iFikJD+D8ehe8KT+KweSIAJUGWzAt3yDZkDpFcAe3WV9+NZRE3T63gmt4 EdRHWXP6VUInuMo0ts7/D/gEKdZ4ZncnXl/R1nmXBU6CafG0uWlN4elt4E+E bTXHFMBHZF5MPKuH+FtfYbPLj5kCNMpW9oOBqQOvvxilHNF+YTCtvvlsJUV+ eYBDn+x1IWeAPRSiJYo/gW9dZb4jO1uIPx9u2WnswG1O8Ndtk+O7jxcin8O1 vxIc4XzvVdT4H30IfqDJqB6tDqZ9n1Wt3PIsfxHurnuqq1qKRWjqCL3bOmr/ os3fXPGJes8vgaU7D+8fDQDT8jPWrrx91abgJ7cfLCp4gmu8mba+iqeOJ7KF 3u7MTvx4WFtD123+CM62FMvvGgU/H7V8weHQ+f/m707M9xZ72Z4PBbiFvp8S jvoOPu8/t+YtB3weres14JcA7w378NRDtxApSvp1Pt9BxrdPi6czZcguW4XB L5g1PymfALv4TaWFvoP4u39XeErUAFiz8mBSyhrq9ajqulrJNPQHZVVk2bmp EzetPxmc/nz41UXwyu/hkMgAcGb21MC1bPDZVTGhjFpwu0OA8rOxQjxfs83y JPGSMLgmKXB1RZ16vQ1N51uwgPrltM8j7fYH3wsOMDm6A3yjcGtXNgambW9c m6XwCnsR7npizWL1AXDOjkAVvtNF6DZ3+/nKPZ14f6l1iergUQHzdNjTaViC KzYxVzj6gWn5ocQXSWMuZmAhT3TW5jY493T/S8Mn1PW871HD+odkWB+VTZZi heDZG6W7c9rBGW0aroMI2p9JUF6OzgpMywfFdHV7Pi4twD10ulQ8pBt8qDy2 z3sRzCkqOhDJC9/fgHUhigyYVTckkc+AWh/XLnst/YD9bfqhPD2yiYKblj9g +LZ/bTcHODjMquv6ATCndELuenXw8Jmz0a1tkH/oYRwJ/DVdgIpEpLsudED/ y5ScaU35Cab13x+pQd+6L4H/tLTmGPuDmen5HbtTwc/LJrxOvQU/aFr4qf4Z 7PyV/or6n0I8f/QpyhbL4QRv5pLcSzkINg1b5lyrWYj27dvfXXcW2stZZdd2 natg9i+Z7JFs4LwxcVYZMTBtezoRd1SZlsHrkNj+LzxFuN9MdHCWSRShMQaF PV18ZLz/JbSe5YiWBR9R9BtUNQLT8lUjh1fyWMzA4UrdH7Cb4GM6r/puhoP7 LSMX8p4WInqhM0nF7hT8eFvKCvxapaH9968YiJWdB9PyVSLK4x/zqddzmot2 Rrpjo2BFOgXxxjXwebvgpM7DO8Fo5C2jjhyYR/XrQRdqf+y7UCHGRSTj/YEv UnL7hk4wfj+LwKOJPZfA2864O5z3AZPdLL/fiwNr5UeekSOA19DH3T/QDC7R Tv7ER52/aPkqHuvXGe+2guf3upOjpcDt3+XYrmoVonaRmP4+Gai/pctq4WpG YK7rDlObfkJ/uPEltd+NB8pp2xNjyMvIW1OEm15tkKt3B5h0b5vf+iNFyHod 9yn3WWj/1QuaP3b8zQ//z/PqLWGVh8Cfc46+dNQE0/JpQl9r2LZ2FKHhdx4h 3qZ///8XX4TGtXz9LqiCZ/sCbmNi4N9OIdcEtoDpVsIury7V4b5hubzXuxfK a14OdV2pAnPTNd43zwFbnyUoaIeDifGJU4o3wP4njxV/nvr7vMszRUjvnOGW U11gYZNbroRK8MKlGNKu5+CPV15LP3gCpuXTnp5ZvvaGqwhp5bwOvog+4eXh wsybt+wBN6eeS/zAAuYQSNp7+3s9blr87YlZdzL5FqGjwwZcnox/73efKELJ maUGRj9qca+zEYg/2g12FrnzZfMHcNfI8J6ZArBS9im7pkTwnqRN68WHob7z e1nvZDSB5fgZ//C9Bn80Xbz6OBWskzA7wnYfrPGs55DODbAbebV8iwU4bc3u 0+TT4EaJE+TYI+DfF+wume4Et4tHBx7ygfo+UKR+8OtlsP+xxc5HeuDPFbk+ qggsrWK2b0EUHFbL0Zq9BUzLH31wM61JDSpCBLOPn1VLoH0crjJdlYsD7/JD DJIeYPIjj8f7TMG0fE6PMLEu7wn1+8/bhuNZG/Fy2anlzU59Dbhp8bfjMase dVSEKk9VPs1vrcfbZ9uvoInIV2CnjDOH3RPBVec2upr7g2n9R97V5mOcVDE8 3ybxmMPY5SJ0c0oQVdV/wuvXtVzp+/1c8PUQqyd6oeBrBoGK/E7gkKjYlUJN sBST2eWzkuDeqzs7vnGDgz4PKt75A+OvaGfGlhGdv/fzyxejQvd5TtWj4AKS 6vo0XvDLg09Y6FfqcY/1rty2L4DyBF0D3Q8RYK26PLHd18HFfPkc0TFQ/2VS TH0XbcGVZ86/EDsKpuVfjn79sXxQuAh1sHf+4f3chJdfMd0a9iAUjN8/n0F0 zzcpQt6fm5eDoxvw9nhWd/015gwmE7ld59XBtPb3fiA4NCRSjP++317CEdPt X4RQaD/fnXuNeP01nxQfRYZgOY5M1wQRcMd37sSSxQbcVz8G1XQ2ge3Pfba8 pdOK75/2PBK3t+Z01U/BodVZy6/oi9F0srfJndpWmI//5h9EDTK00ohgJoFL bfe/FCHGN3fzC7ra8c/bPPyzf2QRrK9iZH2fj4R7of5J4rAcOMv3mth1ExJe v7T4nOFSCabnCO46wOB45wn4cOX+Gqat4KUU+XvZykV4fuJ8BqZ4Mg0sr/CA 06cavKuzt484Qr1+jA5jR0rgeI6lGknmkcEWgucENy2Aky9LbOTZ0oF7x/zZ kuvyHfjxv3x+pP2uCZgWD+vGMBxauABWfM0zc9cPbLHvbr/QVnBES11UpBx1 PpCtsIngI+HtJ1q4VuakLJh2/tdZzMs6ysGchCev2gfBrtt3/1RjLca9r5yi qHWwGM937Mzsit9+tgh3qv3dW5dcwbsPH9HPo57vgOKIpkoc1AeHT/hyqgl4 T0b5qpIHGL8f46lun1o6OLJm+8iHd+BHA18n1fqo4+nrdrbybKjflImyB9XV 4FiMjjpmwJH7NK1DV8EfhZUfm7pD/TfSK9huju34f+O9AzN0Ocd6lx68IjbO IrsbnDYSsGZSBbxgeLhP/xI4Nypa1iKgCN0xPmZ//HAnvv013DKCezXBtPi2 Tnq/Vq4NeE5R5kFYANgmJtRllBWcIKowcVIU3FY6eSlbnTq+PRY+uq7rwNuf gzKuyi0MpvWfoO4PSoXp4GGX7j1R1WBV9h/M7sP/6Z90vJN7mYtxx1FGee4K FeP5lZpqlkBBS8i33Mndq2xBna9cBzcHSzhB/QuF2GO+98Acwn5KTJLgMvki v0wtMG17oSNB6+5jsL+W2fMWt0zAm+lEX1vfKkZWkq7myhId+HyfOfUkV10D LGBWpXfaFixVlcXHeQesLnpvoD0BTMvvGF+58lIrsQj3ieBGer1X4MNpYucM W8E7yu+nmo5T15teH8euhXXC+uVMwe9POeCFh4UlQh/A6a31MXYDYG2uQbfn q2AmgwDe7w7Qf4jd07tzQzr/3/WnE2vc1219cSN4yoP1xHtxMFfzMaFd//m8 WEoY/wHb/3w/0ipJgtp+kjMim8bpyPj29xilqRvzg2nxr/+IRqCiBjiExdgk xwYcLmIrweUHjlRzXesRD/aQVKVn5AavBDpJZR0uQp5rXRbXjkH/dfBUr3qy phM3rf/v5Pbu2J0GDrc1vJH7BrxaIskt3QPeFajwTv4XOCjTPPIeVzHuiRo/ O4p4MZ7v8UhWbeexhfzPXLFwOiN1fM486y8K1IP2cQueTF9xBouumR3S4gPb FsnJ/JAB4/8v2ffb2UkZ9rfNbuxjiwnYM7tbQPpGMRLOL0ni3dWJ989TjZee nJcDG4lc2RCuDz56R0ey4Cp4S99Rw/YQMC2/dD07JNzvRRHum/yPS3qqwbcf Jwwe+Uxdzz8e+RB9n4wfP/lmf8q7bPDVU3EnxqvA0aKrHjz9YIEG2Z+1stB/ llzrnh0wBNPyRz+s6FPsViGfdJ5OgxK8DcrfxkVvzJEEX9LYJFaqAe57Ou3w 2hpsyNySS/QGt1/MHy+OpsZLK8mxdOOwf6l3IskW6yi4afH7gPeECN1Z8JLO hGbFJfDmvRM3PTzBYkvjSccjwW8mNbMLGMHsZ/q5PPnApk+veatJU+O1TM6m 6j7o38w7d93s/QOmjY+vvQq3PxaDt6zbmr6xCawuOd1g9A0sLhRg3khXjFs5 RI2dcxv4/I91ZdqHi/F8UfSYRneIBuSPtj+yiZGxASfI+hoM+4AFB2O3PI4t Qls1LKKVdaG9NWynrl65Ct521En763YwJyFqmVsGTNte6PP1zOuV4XjyZuze vzEEtx794HX9KnjOY4+sSFAxmg34rTKxnoz3byuSf+igMDiw571YNwJ/6Peq bjICrxs5blrlAqbls8yeDEW9zizC/e32Gp7FUvC1C0JP5FrAS8qqW7yo10+h daXix5wo+Pnx5GrFB4WAt36ht6gUhv5mGFslI64CpuWvEkT5hpNYwGXK0pKy AuAek7M+HUfAToRhT5OzYE4HRrRiBS7YKciQ7A7W6ZSrUoygrt92ZsnseUXG +1vht4Gbh9rAtP562Uxnj3Yu2HHtrNW2SvDVgoiMfgo4R77kR+AU2D5YYc6B up7Axwvp/a9zfOBJQbVlGYliPD91teJOrshZyFd50vkH61wChyj5W3t7gJ/4 +ys/e0SdfwYq+gqlob7N1grLzmiDhY/p56otQ//r7P8ldnsblNO21+HzpchK CY7HX7Z/dEUfLPGznz/GHvwl/6uOpA813jzFfCLvJ/SnRt4OjVecFIhnf9pM VomCHYs6eD+rgPddU1WbNwNnjQzWys3/fd5yaDF6FM1nVdcL9lbXXfnf8/po tv9zL3roJdjgWaXE9TiwssniJ7oAMC1/pTbvW8XjXIzMJuetQk5+wsu/3yue qdwPdtvn6rPMDl7zQYr96Ew97ndOdrZ8bH+fxyxOQAGyrwxlF2pxq69lOW00 AN5A0pO71QRuSUkXiy4FRzrN8hOzwLR8zcGx3a8ZWQn4/VY3/nC9jYgpRt11 31/8+P7v86uP9BajMI1uPl8SWLG5LmTTG/DcuZJfadngTNJTa+kIsEj9EysV D/BS0G55WRtwi0r+Folz//k+vfzkXnmwR0VtjcBesLa7fhI3F9jJkIWh7m9+ a8KLgIr8X9xttQf/ydPj6NYHo+6lyAFFcBBzOt/4AXDD4dNpczzg7feXOQun wOsS+DnVusALzzGO7krwUIU5+5Xn4LYm3w2MUWDa/6k2cRVurBcsRqxsHGjd Yi3eXxmUBD/+Ggb/cTus9a0VPJ2nRO6sAI8O65h/yAE3x0m87bwC/VP8wOPi SqP/9Ney+Zw8VfDYGYPkuEPgk59fRQZt/0/53/6SdNOSzKNUjN8fdhGJrovY QT3/pnXy6UINeHt4Wxw29qIHs8yev3X+8yfcC9p5a/YmQLk4Y3bqGhewVVEy NnAKvCnzp8S1Ghgvercma8MywTFnhs2fBYJ7BHoXPliDaflElspdsRsuFqPz 5lZPMhga8XKbnX7dku0NuEfFjaNu99Tj40VxjvyH6z045rW+2fMs8LRX+7sT oWB1lXNCX66BaflEPpOfijJLxcjhSehJk1Koj6ZqWWfJOLDE/GgMqzv4yZ7o 9/1G4CKht7Wp8mB7AbEXhYLgXdtiI6oYweRNLDdJw/W405lmWbgfNeDHd+5w moWMHZiWT+t9OCsuakvA82nM4ZsNrUuo/eHeoyHVJ4349jQ7HtQ+NANPJ5on xYmAtY18T+3+Be2ZvyV1PucjmPY84OWrY9HE+WLEETdyump3K16eGiNheu48 eJr5c4tRWCveXrmRvwkh5WBa/u2L2cjwukSwQwJ2MetcMf78gz2X5XUsB8Ed RmVr96oTUOuLX8P+31rw/dHubzo0qM/EykRAkg7B7SGMbVC/QUs2xXvBm9W8 DqqeAZ+Oq6m46teGH1+Ok6VMdgaYdn/TdmabF9dywXqxxve3IHBDuoD+wZvF SOPst/DBc614e807xrVJeINp55vdeW7fz0E4f/Y77PqdIlC+TcfvuZgNAX9f CN0flRNnG4tRmZjrVuseqG+HZFXN9XfBZtar6hGFYMdpt96gY234/uu51w7r G4Fpx7+3efHb2S9wPuQ8bZ87G6H8nB8TVqQInji9U9bpKgG/30tRYYptntr/ CvUO3Z/Mh/rdxP+jOqQZbCIVFiFwBTx2J2BaNhxMy7dm3AiVzhoAX1TRN9NY Q8AtsEkgaFaYgPY096emkNrx73+bX38oewpsEfmLI5qNhJv91GXtTcLg0pXu iPsIfEIklrThNAlvfyXFLjFtazAtn9jCep0VxYB/B5yS/F4C3kW/y+RJD1g4 l+69og745PqfuwKp8S8tPyuul0UR7AcrhYzUv14G678RqTjHS0DVjtdnrN/B 8X6fvZqe2wXWUHfpGZsFr75UOjiyvgP3S96NfgNCYDF9BZMTxzvw8+NokkAC umA8v+YRrNyVAH6fZd4WWQJeaj1qqd0JfhVVNvxIBZxrcJX88CI4mWdP3QPq elLel2m6i5eE98cBITS1QwqM38+mN3u4bwnqb9qVlZV7B5Qf1VbTfykHJldE /HlkDL59oDfxxm0Cnt8d2LfBif0x5IPlNp5O1SkCR/662xHdTu0/Z+vQuTCo z772zoLJLPDQl9a+x0Zg1cogyygXMG17vizTB7aGwP6DPLt7ojPBobPV97dV EtD467cnhPRJ+HqEfvnXrSFHsEuDtndAALgnkCVsNh6sjMrjLYrAtHwze7zX t5sTxbgXW67Z2zND+TcWm0kzAQLStt9dcygF+ocPs7lZxGvwi5T4n7Mt4AsD aatoDDy5qfWnD0MnboUp4/0jjtCfLNjmeAODwLT88hcjMbtj+uC4F46RotfA ylJue7aFgT1nI1NGssGEgkJ+QiV1fcWvN9ol0Ilvf5693o/pGBh/XopCsmll FJhR0nnoWz64TUTJkb0ObBs405iiDhZstyxusgSTd5Lilj2LUejsVTXjX9B/ HSV2C57k7MB9xpn0S2ovmDYesu0NnA7MwvhojN/28C07lM81dBfqioJVLn8d ZFAFYzJTGkEXwMeZVwhs1P5OyydfF8oL+BMJ+WUJLs2thJfgKbofOc4NxSh7 x4oU71VozzdnzEoy7oKZfvYzvFQA1zerlFwxANO2l+AiUjXuD/tnc5SxTkwA 37qkvlaLAP5mapRD30RARwJY/K8qdOD997xx7GlxPfD4cIXjV3tw9liZu5sf 2HKyJJg9BkzLX3uIyhlazkD+W24T75GYtVC+9HthUxM/AdUx/Tml8Aj6byBP jZXyM7CyaITXyUpwnqVB7IlucJC4Db3KLPhhrZvfgXPQ/xLGr5Qq2IOfctjM afmDaflqpRvvpxj1wZ7O4SI5TuBXDmZmWkHgB34MaSpJ4I/+0jG/CGCGINsH udT1g7zgoT4lejK+P8Tz5KoUL1iFfYleWBJMy6edjJftWQ4D8/PXkx0zwHNJ RqTPpeD6nWMtGq3gsYatrbzq4OLeMyqXzcG+P3wIr6nrJ5cE2/DAQRgfbw4Z zjQsgtmq1HW3cHXipo2/gDuFKYwDMB4lHqaGSy+C+xIfettwwedDc32cYvaD T+x70bFGGfy+50qkvhFYPvywbpYzAc9fi/18IBz0APLZ7sb56RNZ4Nq3zbt0 34J5hKeTS8jFaOrlnq38ltA/Mu/JuB9yB/MeVygv5QVrDXmH9Ev8p3+FvzNg OQ2mbf+HfEvGvXA4vnsHXJ/bZoJFtm8rVi2jXg+NeKZDBDrx8XH4M0cNSRqs bL42TvAMWKgtX8LiIvhJmte5JDcwLZ9+cYv+KfV+yL/f2RHUbDYPzhB6pe+y Dj5fIzbaE0y9fp8q/eh96A4ZP5+BDeQvknFgn5urXTKF4JDwpBcn6sGPnmJ+ ugPgG/T9t3jOQP+VX8s9svYSmJYvt7l1XspWB3wnqs8z2A6cVGz9IccbbLGd +7lvJDhryTS5LQc8+TnjkdBbsNSbicCbJOp6F134MP4H9q9xWOrMLy4Kblp+ MCOw88D9OLD6G4mFvjzwxELoO8kq8MNDo/eCyOCLq4eIr9XARCX1wUYT8PpA i42DzmCL2lsKvwOL0ae7+nPin2A8SbvM7FIcACdeCNPW+QOmjVeGyvsfTb7B +F0davm9vAxeWsuzP4kLPv97v4kJ2gcubhdu11IALza1ckvogBXrvQy5bMFB NaLxcx4EPD/+9fLUReUEyJdnbWZlFiwE21fsfrr0sRjFRBkMSctC/7Dl9WmX 0AHLJGRXHrQHn18rLoHYwLWnRxhld4Np2/9pV6Gl7A/Hc19RUnY2CrxrW7ZQ 2jMwcYqPU+cN9frWoPiQj/Z/7f/lw9TvOpwTBasW3+8LRuA0nYy4an0w3Uy5 Ab0j+f/lqyjY+xz2TQXDkN/XDTzuzv0bPGRhPXibDT5/Uz5Co486/g62SCaq uFAgnseEWYLug58HCJqtE4P+mt53yEjoBJiWb9/c75dxXxu8suvunYJL4G9W oRbkW2CGvZbMy//5/rF57lzHFPDV93XavUXgrAdeC2c/gntNJBLedBejyjC9 Xo5CMt4/6Z/G/zhWB1aoHKCz6gfT+r9IQdMvw3EYD/lL4gf+rIKPq4VdiOWC z1c+nIg4LgJmM1face04+CEZ8dhrgLm1sY1W5uD4Wnk20+sEPJ/OGrnWNewx 5Ne5vS+EO2aDd9sRnp0pAx/U2fBhf3MxGjEryXm6H9onJopOqVMZfLr5BIXJ BCxc/fyuwyL0X9LVEv+7XFBOu7/VT87l0U0ZIvpYbr/Yb1CP/S/vky5ARM31 B7KDMHAnZUJXTATcN/KCvo0dLJQRvOZ2N/jEme03S96CbWZzv/3JAN+NVTCS vQfOUWyud78K1j0u4KRFe78ldX0obLtWbqAF/Ctyet2NUnBdZVfn2gxw3HRl RlwYmPZ7gGut/DprNiKy1J61mZP7hJcb9qrOXRUAn7WP9pmgB6v8Glt/ebAe Ny1/mKXRNyT0mYAorMvRigx12D/T1lUiGqhOkAifrMU94aPwqbcLvCDbd0ns A5h+wXvVvRDMViAYU5cEPu1erZzxsw6vn5KdLCrSX8D7Pp5Uqa4FRzuFqOgV glm2fFIZige7lm5QdQ0Ei/WSXhk6/6ecza7MyQRcJrP05o4amMn6QWW0BPj0 o10fnu/4z/7kXGWSGCG/vkHQ5Wn9j1rcm5mu8/7qBvN+c7635yN456erS1pF YJH8K46eyWBlAqvUtBu0bxhPUCydFZjixkjPqQkW6vK2ETgOviq71CAuBC6L d5NS4ATT8usv/vAejf9CQC/SpH1Z2+rx9qjwo18r8grcYNEQppwA/oxitpj7 gWn3q/4e2yAyM0Ld35LF7IXiT3h9BXkXXOp9BD7HwEg2uQZO13IVTNUGW37b wTYoCd7lUzMvxA3u57nyxeYXjKfSNfeav5i1/PM8txsLtPxDC5adxqjCTj1f zKFd4/ViM2YVIpFkwULE87+K4pUbluWIqPVc+HpdjlZ8ezJ2h3v/SIOtJy0j J43Ahe7Wbke8wAZv5H7uDG3F61fd7t5BznwwLf9p7cQa+agXvMGgtHqam4h7 2ZCXey6NOt9frTL+7dOC1y8tX/zdSXa9xWki/v65p3nhTaLT1HjcM4FwYrAF P57BLk5TpWIwLZ9MHNiqVLIH7FhUor6iSUTxpSdna5bgfLjnZX/lbWvDvVLO ePfKEfCRwvzaBW2wY7Ypm48j2KppXFwvsA0//46NT0YPpoJp+Va2sPO97XPg DXfdVjWp36eZzlAg9H/xNc0/SLs+7qgjoOPGT6qkNVrx+rk2Pza2ywlMq8+0 2rj1v84Q8Xzzo1S2/caTBPSNk3+Q9AbOd9Cku9OhF8zofkz9ZBKYjmyVt3is Dd9+dkA+tcOAacdXr2fX/FuNiOePfbe3VyROQj7ZfG6QNZXa3jpzB6YnS6G+ 3FUrz5uSwA+DNUlDQeCTic7n1VPBtPzpaj/9HMMe8OWd0Q5JcmCSufiQrB5Y MbnKlOxIRGaG6RWhdSSYH0cmjbr6wN9drr/nnwd3uX3bLc/agbvWwzTAWABs 70/39lAwCW9fbvqt61OTwO89D57nIoBp7wPvUZGMvBEFvvXjQcRQAZg7dvyB biO4YXu/Z/03sKqAh9sxRiLu8l0817N2UOeDAMZcr+Md+P4e6LlNn9MCWwpN HBGxBtPyS9MnTDZU94GTSjr8rX+Bz4prL7FsJOKWr3kXWPkIyn+9Edmn8Rxc +Dq0vqMG8pEbr8WL8kkTcR9NZjWsPAU2a3QLumxORAx/IitKX0L98htrfves AR8rW7sVdYM3hXWkTf0Ahz4MX5vC1Il7tT5yDcUdztfJ5fyVkIdgWr6RWeeR WkAYeF1NippTJnj9sXw1gwrw2T8+Txk6wA5ntgttnQAHJxYnizERcWdNafIp b6deT6L3vzXd24nv/ygyO9AkD8bv97vcKrzQ/598yPDqfNEC2O+iWPW1DUTc iClsb+JdKL+ydHI7fxI4cY6RPbEY3DBeQcf/iYCY5MSXvjJ24OP5Yr1TkdhW MK09P721rtLeBx7yD3y2XRG8cjIzYug8Ec///dY9bk8ehnxg/H6NZ7krYMRg /t2HOh9YSrNxK16H9pNrS9m4/S54i7PMhvl4cOzh3NuXpcDnWdhnLqqDuT9f sTM2A9PygV8uZP2WOwAmD3EupWHgJvvbK6w64A/TA3TXrKnzwxVBfvZI6E+i nHRbsp+ChV/2sSlVgE0+9n/vaQUT2r6qu42AOfsGsriWwIxs3JqYDrR/73Rh d6Yt+BVZ25bdC0zL/4XmsFdl+oGnbbdIfI8C64nwJR98Dn49tIvd5T34igHB 0LkTXKa6wZFhHLxOysrnER0Rtrer9NGeLUQ0ysswVcVFxo+HN+xWuug+MC2+ t+cuLtLtB3ecvprfM/effIDv/lyrtUT4/yphOGt8O7jTP0VQ6iF8/hPDxqqL GeC3Pj42D1//J/+w8oP1bQMBbVLi3sbYD/2Xb20lcXIOLNR4Rb9rbSdu2nhI fcrIzrUbXBs29HW7DHjq+gfiHg3wVsOn98UuEvF83JWMe06srZCf82XhoRcb AT+yS32kuQTOqBcTvkadTzUs2LFjBtAfBJf8lkn24NknC6XXfMCHf/25rLkN zP18t/esGHjR4syjKCUwLT+n3ferUkoIPHwp25l8BOw+biDgcRK88TpLg4AR OPM34XalPXU8yHnrzNwk49t/fCtoMOs++A/hgatpCnjP56stPATw+fWOj3vq wPdl7QxS+sD6yObdQwXoT9M7vYZXdMD3GSPZHOzAtPycpibyO3IPzNZbPOmU CP7gsN846yXYfzH5Q18V+NKaps/NnWCk+iPVcQzMG8Bhy7oMnq86KJbFQURj 60OnTMfgeBw12CLnV8E/QoOPhW6h4KblD4qd5r1C/uPVyRM6ev1g9SvRIoKz 4Ec/RhfHqNcTmj9fkW0u5ga/wTS4tgXC52/76M65RoOl3xmTWnPAU/SWhIPl BKRzul43ognGA5l/723nAbDpjH+S1gKYNt5uOj92+SkObnu5NfKrIvjgTHxx oy74nsTOjhIbIp4/Q+bLdwZbIZ/m8J3ObXYIHH2DyYHhN7iKfq35xvXw/R/3 2XQFqf3Fm1usNOEs9B+3ubwDapbgIFs7tUJOcAfj7hEdIbBwUk/g3DHwupEb r7svUP7f+paC3Q54kdVjRfwbX1GwFb7as19Pgm3tN/VLGxKR2qi007wbBROi tveoMTVeiftZFUGsww60HVu+5huL5AqHjOwT67CR3WvjTeRi0ZH69inlgDos zaXj+ImFGLx/CUpWfYzUScbtzZOrqKKXgjtHn0dReFMK2pS16VmCIgWzFkt1 HTubiiqCf8YxKlGwzLEdoctUf9avTLM2oWDVwdpn/ZlTkTHxpW2XMPX8tNm5 o2JS0R6DjaHjERSMf1A34fbGVDRd0W8m70vBllKn+GZNUlFYm/HzIxcpWFd+ XFcpSyq+ntl7wOv6iGQG8mKJlZxzJmOjq8m9ziHpKDmVMWKTFhkrPPyw2Gck HTGrq8yIZJCxIAN62aDEdHRJNeiQXja1v/Kyq4yyZ6Dd7yXJ+26Rse6SLQbG oeloUkxG/NntDmxfQGvfsGMWyths9+CoVwem96mxrpcpGzXfvfmEKbQD+54y 6pfGkY0W/Xd8cLDqxLpuuV0rccpCt78vzHpSr8fzpMf9nFuz8N/jJ45Vzfzg z0FGRrzXRwP//l9vbw5Ss1ITXnnfhm0+sfeRzuRL5D9WrRKa34YVbw166M1e gE66r7onv2ulrn8jAg9oFyEBV97iR+QW7JbQpfNLjyB/mf/yirIJQwzu1DV1 P3YdjsO9aY1CaFdzLD7+OEzV0jaLx+FePLmo5NEI5T/3R4vPU7eHv9/wfp63 088E3KPpZOMCzmTcun1zl1efJ8H7RzoPn+TelIy7oPzDzTUFUN6KDRN3rCTg 4/NOhOJRS+rnaT61peDHuvwk3KpnPvQxziXg/e+zbYy01k+wVcNXsR5u6K9r V1USQ4lJ8H+sS9b7PKNScWuS5WRUtMGJp0hnsoJTkFbm9/fkQ9T1m/7mj1Xr U1GZ2hxLmEoHlnHrd0gFWyp+/8dDl7WPfQUzcLc/5V7u3ZWOVm5TSpxVSdjR YkzY8WM6/n4aM3qeGBu+p/j7Zgb5xm9d3vYUf1/Pjqo3+eHyxehL3fbuWKM6 7J+4aiYG/VOsXofpzpMz7KVjcd8r7xQ6Hh6D55NurQQfixOKQ3kiZY+jWf4+ D/9RLHJgbxG+1FuL+7GK3u7bh6Fcx/zK7YKyOoz+TPOJnPXR6PxXkZmdaXXY jik/8es1UcjU6ovdw+A6TOaxNLecTxS6NrT4JeRpHfbE6eKjC+rR+P3ECaQP OseWY9D2g6+Kcwtg+xVdt66RA8HnMq7f6jcGn+TqP64vVffPfKUuFYefH8ku onF9L5zvrnOTfDIhcei4aR0lfG0dxmS67oHU1xi0j9WU8n24Fns38v6d5JsY fH5WJm1lWFMGnurmZB6+CE74upb1w7oY5Lh4snOXOBkj/m88vozG5xc3z1Sb V2yJuK3s856PUvsXzbcrMsSbypLQGJOHscgqCdt30nF/T1QyKnl6cFfA2g6s 7Im5+WOTZBTz9nG28xwJO7xMZ3lVKBmtOVXiybWjA8MIoX3rIpORReloYM0a ajzb7eKbZZuEpE75vCmdIWHaQ6H3NtBR+6/DzZ0y1HjIq++aXKxVEtrgMMOj QY2Xwks89fw6k9CW3yxX+vU6MLKHX5ZBeDIaP5pyokiWGh9e93NXiUhG7zwU 32drd2AKX11NF/SS8fkoWKxGbGUxCfdpJYZXSWHgDQYKSoo7wVY9QWpTPSm4 HzwtfM2ZkILYKVdX5lz+zmdmKci+LcnWO5iEdd4zNyT3JyOV8XhXt2ckrG96 O8dyTzL6cl8+5xP1+29UOLMPmKags6rhqxcfk7Bp54UvlnwpKHioa+WaGwmz vsT94It0GlqZW/9L+AIJ42UaTrw0lYoszbonDytTy8tIt1vk0pD4fWsZRmo5 Ok9Uu0wtZ+YQLaS7TcK8t4+2ncxMxeebbD8fU/5YsFp7hbCGNvhNk3Ol950U uN/BU7vxeBD4hp2Pu5phKvpnHRXRjvnfkTryMhy80Fqwtews2G7X4cUa6vwx kykXoGbW/u94ToJyd2GvcpJqOu6y7EIm/4U0FMNqbmK1hoTJR9RefuWRjjYJ e6q6jLVj7enp1qGH0lG/bvR9j4R2TEnseJfehTQ0kDcYc7a6HSPoE2qE9dKQ ckg600BWO8YuzDQwl5GGErnSzZ13tmMfUxkTJ4kZ6KB+av/dw+2YRdcVP1uj DHTES6lF5mw7phV/Q1byaQZyLCAnnrvTjiVubO3Vjc1A09VTW0st2zHTAoE3 j1MzUNfRj1XBQdTyyEulsigDn9/2RVXyXupKx+fT0agfgRm7MnC3FiiQ1mxN x8dPwdJBl7MC4MT82KSV1nT0sdpy4jE13v5ffRlTTZsv+594jBskZOH5Jlu/ JCnRwkzE4kA6T//m7/u3ijIRe9/ezn7pNsyL7Fu9+cFTdK/81LnpY21Y/1Dx h29bctA7c5lD7ZMkrJih5quKRjZKcLLks71Pwi7d0xLoL8lGK57fKHo5rdih XwWHzCWfIR+psg4L/1aMNOduuqs+5+/vPa3YgVTk5OH/DJlzTJSoWLZi9t6H X7HO5qITNQF0l01bsVFKiDumlIu+bo7aN1Peik376btanH6O7LaKd0olwv3o zj7rz2y2Bd/6NvZ29nDj/7ufrRErz8z4XH2D+vmY7fu31Dbh5dtPCSykuLZg Txu9EuM4CIjjeo50n0cLNu6q9pCfhYCkmXYnvHNowXR31HqlJBcjTZ4cu9q3 LZi3SYwLy2YCcn2+X+W3IAVjS167444kAdmo30kwWkfBNr6V4Qo1JCDuPG+p TxspmGv5zodClwioerNHvTwvBaOUsHJUXCUgl9tuF/N2UTC5V7P39T0IiKw5 Wn7zBzV+6GG+TneEGq8Es1D4fpExnrDN+X2KBPTpvdDcOzoKNoztmqjQICB3 lRSTffshPiln5KluQuB/r68UrMhzcUrsGdjAoMqjpQy8eCh0rWsjOKOzj6Oj D/xQY7BJcpqAr4cubrSs+OUL/omVRxc9Aoc48Vy/So33r+2Y8Nt5nfLP+622 ZxFQS66l/MQJ8I3U5yoMpmB+2f3+BCIZ+z6rVPiBul4X4VcVZy0gY76mmlab qPG9pKXF2NxrMsY1pZw/LUZECtmemX3vyFiGn8xSMzXePzURc7Gulowd2SJ2 Ml+ZiHxZ+iJjWsgY87M1VXZniahfKGLYgEKNVzJfcaynrveRiupR7n4y1ppi b/zCkoiSL/4Kav9GxmQS+LO0nIhIviElN7iYun7KCS/zp8aXN5Si54nlZCw5 Ke3T268ElEcMUxiuJmN/HhN6liYIiLUgw/jhKBl78IdebJ5a/5kBlLPGH8iY Cv984NQKAenfs8zYvoGCDR6v2PVBk4iOda95/n4zBSvZKOqiTo3Xd+zPLrLj o2APvkVW11PPn879VBnn/97n9Yae5+wVIsrPWd/FT+0fEbbB39jsiKhk8JXb JDsF28EkYWgiT0TB7q/GKivIePzz7/xCxk6mBq6GngPn7ct/2WsJ8WeVbgmP xl7wGtbcS/nHiOjFNPfBgYl/n9fUqkZELixRpucZKLg5yiQ9XClQXlZ6/9yI GgV+TxYrtSSbgGn9id2BOz1oD/iYgckpc2mwpVLqlMwJsEfRC31rBrALX5Kn DxcR7QptdZMRq8PXH7T1jtKBoIhyTfDnSUVes8lotNpgPxKd34rV24kWbIop RH3ZG+LdY1qw6R+GQSr4/yFbsDUsrYs2+wiogzlCWjCMgplxrv4sGiGg0Imv UpORFEw6drLeYYZAncEZXC28KFhl4vOHW6jx8LXe9XKqgRRs6+5ize89BGQU W3Sh35KC1ceoVfaSCChMYV1isz11fBC0UNUXAmInSh1460LBPhHoVQkUAnLm e33lGh2cD/c/v3/UYgWUHYKuY9GoonchRfRtLfa/06qlj0HVQx6H9L+DZ5+S +Gy1qfVVId/2fJCABgI6dl9Rp2BBPfW/SygEPB6+Z5ntL7QJ4uMYgT7n4V3g NC/myFBJiI/LIraw32em9jfjj8R1N/79/2goG5R7xUv2OVPHX8WcwX0tP8o/ 159SSdje78sNupr04IgPCQ7np6jzrYR6OdmAgsnm72XksCaikydlXJa0KBjv AS7Rg8aQr/O9lHH3xhmIh64mzT3QUUqB5+31XkqefhiHW+vGtsr5YIiPcnn+ HPffCfFOKwOLo9yDONxjX3eio/egfPnZmGgH9fN4vjxkIqqwD+IdxrHrVtPV aXj8krD1tfYklokELx7vfmTRig0xcpmFNL9AccJlwetvt2JpltUuLVkvkNjB 3guXX7ViN2x3aq5/k4eiNtyQsh5oxnSnH+gaSxWjF1XcU8GEZux9xxj3259F KLH/i6DDyRbM7tfB8H35BJTvKdwW+YTaXtE+zh+p86Hhbm9mYjQFs22POOEv QUStTu+ytj+kYOJX1H5tpI7nG31bm+apn88RNTkuoUJEi4yqN0V9KFi4+oPY Qer4O5e+Zf8OwTpM1pLXmjk5Cl9PbKKcDKrXSsbPj1h6afb+i1QUJno5AnMl YUVLZxo+NaShITbt2ahLJMw3+o+WXVMavr7gmBjZe3c4FV/fbIl8ZZ5zKAP/ fXNNJIedzvtc1P2QrLeder1tPLb51GpePtKsf2Vp5d6CfX3OHZD8Mh89/iF8 O7iiBbPa2vzsGNtLvP9wxvHSBehCf/KOC/HcQj0/2vWn8JD6Dc2n0bjvlnL+ lDgXjc9viWlVJxjDIX6vqB/aejc8Af4/X7dzzV7hBHz9xH/1goybXg4iOkXk RFn9fb/ptmd/7zdpw3jybxmpmObgv6fGVgSbl7Tk4u8nKpUnVO/5z/8lrgRn 5eUkZaNFlugS4s42an84+GV5Bp6/Gs61f+3xUMgXWJgZrmQKJSA+owCTT/zU 67/cxbmTbRloYwZPmDX1+uhZ1lF7RSEbCfCesRGlXg8MsHPGfANZ8HzLUm17 3qwsvH9zcyav2sRCPqrbzpCocTMV3x9jSYlDzlgabsGmuQEV1gxU/IF3qjWo E3uusXp4cjQNTezOEN1/pRN7YpXxSm0oDe7/91NsCPHLQtnCkcUmiySsVk2W gfFdFj5+RMJeBO82TMZdWZ1R81QgGXnLnT9SLt2B7d42oEmpTcH/X1Sa5dNg Sl3P/3s+7dj5iI2uMU/ScKcIjX9MPgTlRm2N75y+pqE9hjbZb9eRsHI6cZEZ 0XS0l+7UNT81Epa8aVmQdVc6So9/HTlJjb+MHBbr1HekozCdFw3M1HJPukMi r6+no7IhZm8ZQxIWfVdbZNA5HT18qMG8XrsTcxxLKJJLTEUcfZcczM91Yp1X GbKrdVPRcR9B8YM+JCy/oEd1TVwW6vk6P5YXRcJWRY31tJNh/e37mcvsT1M2 UvscpWnk9Pf+PbtnSPq0cKt8ZBu202mI/vFCBvIVZx7uSWrD9JyLr4lqZKI8 hXQ5af82LEAn/pE0fSaSeeXoW/Wy7d/3hzJlofP//P7Vho3VjHceWMzE+2fx cR8F1XtgZz8vjhN6WehrW1j9ANX/vE+Qao4zp69Vs7djIp/2m6v3ZKK1mZtk UsfbsIoP5bP5o5no0FL/6OBcGyb9LCrbaDgTHx8b8vQdXmlk4N5M+f7wtEUm Ggk8Z2Wyqx0bvZ4gsu9aJvK4HqPLI9OOCQ/eNvx0ORMlb+hpfV/ZjMXGqVgk qbxEe26PfWR73IK/35BJZVpgk1YzJh7wGLWJF6HejWw+DhHN+PMgq7bX3xev gPvBnux8QtqQALYTseCfcAfLih2w+WQEti5+a6iwsRF3xcTQEmtvA+T/p889 zKlrxF7cbh9PKCCgA3Xpgx+dm/D7nZIUy+cfvaKul07y3Xonkob6827Z6FeS sbXNFvePdaQiwsQgK/cQGcPKtjF/l0hDqnIcUscnydi5LUm8/NT4/I7eXYNp VgrWvU07BqPOl0/9HlZc7ujEBs5WjY8/zkAXt9qIKs51Yvc6nCX2p2WgGYV3 24zXkrGy4Arv27kZ6FZJ5vTIATLWZqayj+dkBhL/p307sT3brtEP7s1AVR9z 7y+kd2AXfQd7X//ORL9CN4VjDR2YYPyDzTzU/nBVTeeG1KcOrGdD6pe8kEy0 WeFRY2ZHB3ZS4JrCn41ZyLc9O9KlogOrTxDgTVuThVRD8urpd7djx6U+3+ek Xr8o1kkpT8LasIV1t9ZwqRWgwYTW+ctZrdjFb+NoqAGex1DvxkpIN07GnebH IDewA+x5wY5NkD8FPVwvSB+TT8Zq7SfY7hqnoGaB5IvihWRsyy1PT86tcL3P vnGQ70lBKu7WyIN0656lIS7PjnXtddTxaN4oGZuUhl9vks7tmWwjF6I5n0yG I0H/Po9usK0Q/3/5DMfKPk/jWKRdxEqsKoZ8n6vF/BoVNsivVQ5/+TL+tRb3 v/cz1WLDJ/eO+rmB20Xrhde8i0VBcjPMRxZIWODE/jLLsynoWJtH5+UZEpZK 5C2c5kxBsTeP8cqu7cDiuW10u8+koIA9Xs9VWjqwDdyM7wKo6xu1kM4HJz92 YMaCE4VZVD87ymDtRZ3PwgvSiGEn0lDplJOu0B4SlvHjXUi5YhpqkU//bEid L89etulrC09DiadsRO8okLCmmQ761qA09K72EHmG+vlddOu84qif3+orRaCn bm+W9cqBtJ40FBJooG+3k4Qp9RSciSOnoXONIb8fjZCwD5sP77Wsoc7vnU4G TZ9JWMTLxcEsqnnp3AQtFtuxZaZ93SbKmcjlmcJgy3w7ZnxhcYBENS1feG9y I9b7IAt9dnZ/Mq3x9/1iGVnIzUWeKXyQWh8r49xDOU/x+YvrvuUHkbGXSEow fF/PQiv+fgTa/VC7Ux2FW+gKUaTc6dCo1n//z9v6tQAdG3jx9NxEK/4+mH/v T2nFhE4QV6tJBYgUsdt/Y3Ur/vwTWvmFmZMnDhygPV+tFTvEE9htLVCEth4+ U+/6uQXPF/y7Hm/BnmXGfGm+Xvx3Pm/B9rG9evNZuxgdmSs/2M0K9/OFOX49 NdjUjMe3zAF0LYbrWvD549/rWwv2dnVfTYcPAc9nY68u2F3+AveLGw1PCiY/ g/vFq291LZWUgQ9tqCGTGuD+otIIq9ELJjkoJVf34raGv8/Dc8tBXBa+ByTl qfP76kyfKdNLpP+lIEs+sB3j0GAd0dr6El02pVs/MN6Gvx9a8FRs4IoWvM/d 7XNC1zGpNuzy6T17z+YUokWb+I86mm3YH6Hh8UXfQlTJ/ImDI7MNY03eyVGW XYi0HTYf3nG9DTvz09HvTDrteett2P6JIZ7vroXI61jMMQU7eP8E7X0X5eQH Dyx8CtE/09n+VizcqsT12ZsiZJRyOKLgXQtGdBAzLdanxqOO3ne7Ucv/iy9b sNcc5yLs+Ynon+fKqHdgzqnb3r/9mIJeevldnxGow47W+daufIlGmxeXTzbu rMPm6Lntg0RiEbGblLbXsQ5rEifPe/6MxecHzl+nbcamqPGk1r3X41m12Nak Ng9J3lg0FDD8W5e1Dttiv/dodRB1vhixKNhLjdfsTx+/laIUi+L3aZYNd9Zi pRsVxJWWYxCL8WtFTyb4fYIW351r7OiqUIxFWVv8ZvI//H2/r3IsKmJ50b5m GlwS+sFuQIeCCSH58G9vCIi4PCE1akzBNI+tWzNRR0BkczniCWUKpiy0LHGm AfqHuFbj3WFOIoos0/oodw/it3/XdxTsaXhJ86ExAu69dxSnmRcJ6Ez07MBK OAVb9PYUd6skIAfWdocJarxBOK5fYNJIQF8Z75+fpsYbRlyhjkkvCYjlmffO 2csU7HKIqORKBQGJfZf3sbKmYLve1GF7qOVvBftFrlPXO5da+vukqP23vOG7 mCM1nozsahDd94GAVOPKC484UP7f/ZbU+HDyTlZdGZjoTsZ4GsH5uUfZVfoI eDx6SeW9tCx1f7vNlC3zA/7NV0iUEtD3izuby66AaZ9nKcr4UjkIltb1ekmY JyDtp02jfNT4np7a/80HCKixpnu9CE8dHm+v7yA5b6S27z/D9hy057zhW5LC 4xjEZHrJxftzLaY7J1RuJhOD1G9dGXjfX4up8XPmq4jEII8XsoqnqdeLm+9/ rR+nxvs1DxOPqLLUYYtLG0mT8jHoXUVGmbsbNd6ZukQw4KW2X15tzqe1JMxM InJXvXAGclfWrdajzueaxxY4TXdnoKm4lUOtqbVYZWmu6ru6aOTQkLcjtPXf /kPgjEb1YaUXqiIoWI8wvbkSNxG98hvd5U9t3z3JTxHLViLizmG0qPKlYAXX Dz+n4yIi2z/83q7B1PmlYxslfAfx7+9VFCzqSLXNnl3Qf34kveGp/E9/6oq4 f3foABFZHjK5y/7g39/j8/fR7v8lYe/ZuKOIPLBef+t3fCtHbibaZzTa797Y grmKEiOqpIvRnPXbu0WxLdjCZz2Bp5NFKCqISy5EoAX7s0cjUl+nCI3/8/td BybZp7F0lD0Fj69+2SkR2trS/sZ/JMzZSEjygkA6CvLwPXi/uw2jl7NV3jqd iWQtp4eqa9uw0UDekc3U9dHHZ+8HiBva/xkfz6nrX3v+Tl9OIhkr156bcB9L QW92MnDtqCFjXhf4xT6Mp6DWyU2vsz+RsfsawQ3NZinIM/S2ulwRGesvDEkZ SklBeo7d7fzU9d8n19lrkdMpqHxgU/ynVjLW/n7H+ZzJFFSy2imr3NaJZXu6 3HQ3SEdVi7pvBBo7sUX1izMMv9OQztNreoco1Hjji2hH4GIaOt7NGjww24mZ TFdrl5mnoyKZdH+jH52YUfTrzaYX0pHB78A7UV87sFMBi9vvbs1CgalhRzh+ dGCuqeGjpwWyUERV9taHwx1YxyDdtW+RmSgt/cXMOvo2LM/y8BQr6SUy/XAq K16tFVM9/338RWwRMpzorfXga8Xyv9v8cb1QhOcPndYd0BLNSPmbz+/AlHY3 +ognZiKHJ8Q/UVlt2J0KhUwDt5dInIlxzURpKxYhX9W29KsQLXz0uRo+34wt dXvvLw0joIIO3dMNjC0YZ1Rj4Ns7BKQYdqHa+ycJU0+7foCjNAdJK7w5oSxG vX58DtsppVOIDjUKlvV1//t+i1bDdBTKSbTw9idh2yddOLWzkpGx6gl+52gS lhO/vEPscjL6XbjOh0Qt7/Gl1zknlYweXPTdlp1LwpBhVXJBSjJ+vex9crDe QS8F9+G8i3o1PCkonWVsr0VuO5addqS26UQqwlQnXd49acdMalcD7NlSUedB bSOzwnZs4ze39SsqqehAtuEZr+h26vWK9KIxLBVdW5bl0Zhtx34eOaHNdyQV rezoHnj3qx3TMpDb/oUab0dn/R9Xdx5Pxfc+ADzZKkqLZKu0kBSFsoTmFAmp hEjZ1yxRyi6VpUiLNfu+XftOiihk3++1ZCsqIqVFku13P99P9zyf189/79fM nTln7nieZ+bOnPOo4dAImYhnN2r9Kp2IlIrOikUmkAnL/JONtzmSkNxetd9D SWTifsXYesH2RMTQF7Jpz3MyQa5pXuBan4Tvr1zm+/K1tRbutyxra87PRych 95+5v8iMFIIUfpAiMZiEn6cOnM4NsCvIQElVoasUZqj1HKOn9rwaCYWsMO5X 2d5NODNptw1fJuHr84vyux7Idqchh4xC3ipWMpEk1mvrci0PGew/KOHNRSa+ ilQf+Sybh3j8IsN4qNd7nedqVokM5CJboexK0pUOYo8JfbzqKIwXwpiZ+ZV/ ORHdkbIj6bNSiPWu+u5cS4moPpk4EoEoxCoxMxtRuST0Plr8+UaqT60c3r56 JvFvfUQhvqcZjCbMgdlnw6wb/JNQilrys1/7u3A9SKsnRlqPCvtnFiCeZ+Zs 6XJdhG/arbUrGwqQQNq7nkNqHbg+o71/oUiavvrNjnr9l+PA7WTRQYje7U22 u1+C38+KVZnd0WURgd3bEHvS60044rOsfWCp0oTv3/ospdQkcYKlzt1xlcoH W7i0eUy6g3X4851eDDf+G68dotHKA55VvCXgTCmN1W4PwLT3p5ifJuuHs4Mz Gx77HzWIgeXdD2X9n0Yj7Ut5W1qq/r6/RIlCFqRA5+UIMJcNU7CpTPPf3w/C 0OP7NZnGdGDa+1U7tlzrcJQIx+aK214XURSGx7uqM2fasZAYgT00lxHDtQ/8 68FZbsnCcCRvP6guydiC+1/jM8240hvMedXmQ/Nx8G4Hf3/Twy1EzoN1F626 Y5FwwgXhDzwtBCHmYG4cEIskWvjbzFa2EO09/fYXVWIRMff96sfxZsL45vFb 6gyx6CR/1UaLtmbix850f5UXMUhSIkdvc0kzIXVMgq7KOQZps5n31Uc3E9dD TZ7Ki8cgp/Gt5929momcTwF2dVPRKPwlpf2AVTPxSe6FwClSNFpTfFtBnakV Hx/p38ysVypasGnjQ6VKKStuuRiOXSTV5r5lApa/kjpfuMU17G993EY4pSw2 by+NwF6nV+3LrQpOZvdT2PwuHC18dSt2n2jFx8dy258P22XasHMy39+VvtmK z5dPVjbbKbJg2u+jKWt5D989BL5u57xm/EUU9rEO8rCyMnh3h4xHZFwM9rIE 40ILP7g/utWFLisaDapFsWYutuHjQXYWYZ+KA9PGs0/bUWNUoxaOLSMkcjtn Epa3iYXHht8NQ+f+d7+ynRAoUd5/NDIC2yZjlb6MJLggtu6xFDkcZawJ5WXQ bMfHQ2iSWXW/L1iNh38rPU87Ph60+QD1Dxwqc9gNZuhInvF6GoWdYb9ZLEgV bJHR9X72agy2s73A0F46sN8Rl55LgdHo5w3/noa+dtx/2v3hn8kXhC9dCcd+ wmHBKMgGlvR1GPyZF4Z/nzqU+6rbMCICe6Z9ctsVGXDJd3YLl8FwdPpI9XsL mQ7c36lSrqzx2+AKs7Bvn/9er/7Tf9r1507xvt9RiuCbKr/FU95GYfcZbbHL cQXL8G+e+30nBnvRWq5fkRNcVWBWEZITjX775Qh2ZXXg/tPeD/u+58y7/KBw bJX3V0+8lwInxgencwzD+n90S9Yq+4Th9+H8hOtbVlKPB82fdp9nlj4KVuYd QXaj4YjL+4VYPV8n7r+94LsSVw/wv8+DdRKJch+fsHJEY8flLoiUFUZhR+/Y VGd2DrxxxYJGYkYMttns084QBXDZF4dz94Zge6wfxdpdnKPx/SniyD2P11nh 2L0FedpV58HX9r05+GwpDHtNMv2aorQw/D7c+9Im5sChCGyGCfOGTB/wbt6V /q/3g+XPxKi+6wpHi4UPPc+Zd+H+114wj35a1fn/8gu1v9UxS5HHwC2Ekdul d1HYS893/+a5A95n+KWpxDoGe9sUnwyJGbzBVSMjIika/15yaFNWeTK1/zTn m3DSndEGixR5n5ilA2cyfPOLzwpDlGP/u6AglHr2iZ8jRWCbsqq72aqBbx9z rvb/HY6kTw2r7l6E/lreFrFwyuzC/aXdH38lM6SWdQ68Y+vlXuvvUdi3l74Z 7AsGS2vsiWp2icFOZZe9HsYB3titdsq4MBrXP33v6rO2Rkdg/yyNXo5SAK97 dFWdeyocPeCZY3oW2/3/4nU3IblFrVTnPxateflDdDN43zXxg2uKo7D5t6XY jGiCL0sqpf3qjcb1y4pdXOlpjbHYwZW5D+sEYhFnoX6OjuG/76vuLo1Bwfqe p65IgNetSR2/zQr2mnfTLSwFT1b33cz3B2u+5Xaa7Plbv1TEo691bFrPC8H3 cxkO+z8G0+qXaLOZDV6W4DpXvZ+H9iRg/9bgYiK/jsf3a0ZG1PNl38dh85jv uea8Og45frufl/3jb72zNR6d62D23dUBFs73NojIAdPqFcsRjSXx4lhsSV5b 8037YpHRTESmt3QL7t9LppMuzYzgHZw/Fdk7m7Htt2eFZKXC8sRUscJeO7B8 RyOTwvNm3H+ko/2B/zH46LvRamYTMG28zl/CWVpCceCX8TPHTquDzceDHivK JWBHhyadzZ6Kx/VEYhs984P8WGz6zxVPbkqATVc5C9g9j0FlStXJYt2tuL2h sk+ax/XbsFXihbvMOcGtXd4GQxvaiMvWojIP5hLQzmr2L16/Wgmvmfru+a4E 5FSQ7L63v5WIvWVob52TgJoSDrG0VbYSZat/r+33TUB8gTURN5JbCUrw43QV kwT0x8s9Oc2vlVDsmA10P5qA6BmSyr7athKut70MmrgSEKt3Q6ukZiuRc4BN mHsmHm1mmB69Jd1KjA5F/rncHo/rg2nPfHe1mFhsJrsPrBf2gXkvccUYlMUg i89SNbEq7bg/oh+Hvuglg6db3L9/dQCPMM30CO5sx98PLf/76ESpuoSAH0hY NR/VAmt/ZNYO0EzATg3res/IDp5RirN364rH+V3vOnNEb00stuJAppLWBfDB E2q/uyZjkBz/G2v1Yx24fRMZWS4mN8FJQpOmcz+gvbR8zdgquzbLC1yxYigi Tglc1aU3fUM6AXuQfqqcZwGWz4u7+716EY/zr4P5mm7l8FjsVTqHtcdEwNGn DHu9a2NQnI2JR5dmJ7T3b76MEqxSsvePxzZsf22/Wx3MeMHEzEA2AVvGLO5d 0QqwvX2/3praeJz/eA+d1N/bEYstq7F6Xs0SrGvfFOZMF4s0Dglq92zqwu2h 5a+jjYNsbBHx2NJPLnHcMwQfMu7jXd4DDr3yeeNNpQRsw5IdlS5rwfuWtawd O+NxvuIdUZzt+RKLHcT3etzqHniVwYk3i9vBHjE1TQFPYxD7hubQzO1k3F5a PvHWrljr9TYWO2M2TTnXGdwWFuTTvz4WqdS/VIj7CJ+n3U/IetU/phgYjy1Z afXK7AL41fO5aO/t4KI/KtIKxxOwdxvyKt9lAofUTl2ob4zH9yPcRnImpcJi sVW4p14biIC51Pcl3qWeH48Nn5TfaOwmzO6K+37vjEZuK/YlBXV3E7eREb9z dAzyWxgqM6jpJsh22vO3pGKQ8epSG58Car4rXxlo2x2N34ebb7d0MH0Yg63p k1vqsysG57+Cw1mcgdT4RPOXRxJbuR0S0I5fv0pazzXh57VD+yNOcgiDV7+U 7dVbBXZkULRlrAFv21YydDMG/FpS4OwvR3Bq/lb6hem/z/ejJNSiwWke1A7+ ObOxQTAPzBO+dn/lYzAtH1p/v3pjxx7w/IatzevKE7H/rCXqN4Qm4fxYPiPq 8wIlouOPoq3yFxvw89aPj1j9+DAEHvgo6c5dBd4bzMh4NgFMy49zKWxWRosJ 2E9fW++dzgY7jtWNe1D7W3S0qOQhewvu/9NNmnfkxpqxd67j2cCUCMvXjAud +n4N/OPlEZ+hY2CGmpSfvI3N+HiMEEY1gYngque8IUxuYFo+tH50cGPgEfCz ud0uoiOJ2KceRCoMUI8XLR+2jWp1h/xMwL68HByVlQ1ewdNhWGOegJjizWVi Rlpx+46Im4xdI4EpR/ZauV9qw153vS/r+FZwAKv0zp6gVtze8bn35SqGYDQW oP1CGEy7/m5LX87vFQIvVUm4dgwkYgvKn/kz1ATLP0ykLv50TcL5b//0Qubv 2QTs4nf7fReKwUe7dE1X3EhAQceIw9svteP2FsZXa7Fkgc8whF4O9QRXpUwO 3ZFsx+1dwe/qQc8BpuW7y7Pl/hxHwOoJ7KeGvyViy52yWUNKB2/UWBP8vQ3W z15SHh/1TsL5cOjrT+6ELwnY9Mv7C/RzwYLrzJR5ryag01Oli/rSHbi9TPYL Hj9twf1Sg05FC9BenA9lp2ZvMoBdey4WGVYmYruYjI1sfAPL758OXLsqCBwl KSO1qJyE8+GyovT9m9UJ2KeHHzt6+ySgGRkNqc0inbg9OStqbHPdwAP7fhyx oeY7Wvto+U+Q/4jlpf/4sI1oafBCIvbxQkHG5qfgFgEWr12tsH5L+XHxo/eS cH4s8wmvSR5KwL6qQmL4GQ8WZHuqIE+t116/2HzMRrYLt4+W78zEz3WmMydh 0/ORiueqE7GnngpwrXsDy/PuWIjNBYGvq5BOvT+VhPPfElfzy7FvCdjVweu/ vCwE+649zx1Njd+06zHju4dNVTYmYduwbB591ZKI7W3VUKMZD8u54z87r7mQ hPPlu2NJYZXT8HzaWLvD18B88JSB0klTe8gfy7mrb5kdTkbqqsFuSuZ/x6t6 l4ToRyMYxE6Ai1ziH/LsBpuuT+NgpAfXv6jW5mgF27QGrtLLBK8fMihL8gU7 p8T6aY/8nX+0OgVtjGXRTqsBZz1x3j2bClZ8/OGboh+Yli9OlRHBrBbgC1VK XK+NUrE5u3ZsoIyk4Hxyg1uC/tanZHTh6pG5b0t/f3/cmYI+Se3Q6R8Bu9Gt Kqt5DWZt/MKZkwGm5Yvj8/yMOTrJMJ/CbpEv8ktJaMryzvUh/hbcX15W4taX hWZs1ZyF+0td4N4gEYXoVFjfvbBTeKsbmI/suCX2LPjQQHn4ZH4zPh7q9UHX nzwEXy26fOaYJZiWL7qKb+QTzmAi4QXreqVU7LpXL761DaXgfGF/MpnXWz8Z u/jYG39L1mRE2f+crnWhFbenM6Hs4Js6sOrhkOpgmzZsX/r92+vEwcM1pm66 bq24fQvR1shXFUyL/2uk7MImXMFH1pbafRdPxdbe8n3Tqu4UHP/f1r30eyqZ jH1v4apl9AT1+P5WV+4434737zXrysMRD77LstsvywW82l1X+LtNOzGyocCA 9CUVHUxhzBHTbSdYcjdakqpSkXZrjsj1U+3EIdXr9qSgVOQxq51bSI3vup+6 3EimqWj8oeJik1A7Ids9LDsnlYruTK+v+MjdTiiHvC9SW5uKuDT63elY2onz 6p/2k96l4HjPGzgfbmaUjB0y/OJLNEcy4ti5EDCt1oHbJ9tXV+XqA45XCiJ9 4urAx+++6cdHb6basWnxPOfP6Y+Pc8GHnzZwXNMDG9tKm8VeTMUufPyKM44h Fcf7gkhVdm67ZGwpBt908u5kNG77Rjj3eCduT9lBN3LTNLSHFq8vV7w+9jwG rLfiJt3QKfCgo0rqVur5SPPsPuaEqW8pOH5PvW3UjD2ZjH1cR0PWeyEJfZGZ eN1p0AX/T9+SZ/RGOv9fvOgkQp7GjR3LBy+Ms+p+0wPPWC+OFRqmYg/YRNdf XZWK47VlC/+HbKtkbI2VHxQztyajnzzygddnYP+0+BxJOjR0inr+0vzpzOHz 3LvBMT9G+XZ1pOB631NdQTFLNhkZP7/Imlffi7dHe15GvN0tK00sGcdv7u8q beXfUuH3vxKjhdsOqYg077vSU+PvfMjU83Gollub5TCYPSArM4QDzJSYuHNf J9j0kV7Q/gJwtSvnSpEg8A6LrmsH7MGTnIzXumjjLyqS0E7TxZk9LWCd3BlX 93xwwJ+p5fZQMB5v0X5wcmQmDfv6n9E3e71JOH4fLBu7lnspDZVu6DLX/NWA n9f7+oXuoPwAWKD54JzoK7B+usErPhKYFq8PqbfZrCSlIiHeipHzh1pwfywD cq/fWAcmMSQyBI83YysFmx9yyILlaq58x/m8wReM3pxtugTmD/I193nWjPsb XJyl6xwOputrV7d2BON4LJdw9QYzOEtHV9fFg4Tjscgex9ictlRs8+LghE92 qUgvZVTLZ6IV719QaK6avgycs1Xk/YZ7bdgsOh3jdefAl0NuTN3kBZ+taxjY HNqK2ycwtbap6DJ4caN6mYYsmBafIyzSXggIgT+l3l0bUZWGfcCCS/3tExKO 15HFM2zNvanYLrw1b2/dTEUnPoSNp1DjL609twpWObw/AhY+L638Iwkc1vLu zJFbYP3PdI37Lajb6/i4KsMoHb1fTO1jp+aDIxuGV/0+kI6s2FQ/LRxvJxbU elYpLpEQk9X+hTui7cSb2rNK8q0kpMS9pBvI105sLuQxK48jofuNbRXxbO3E 2fixO4evkXC8VpoYyWWeT8XOLXPQehtP7Y+L6V3Dsx24PdpWd03aPcH2PtFq A1odxHON6uDt19LR75HZ4HzUQcwlm9jLHUpHHkij565QByH1i/7cpVkSkjS3 yUrZ3EHMpK0zXPmChLQuOgXJ0VHj9c3qHzM+JORwxtOZ8rmduKbhfO/TaRLU 72FCOc8KU1HsFOP3IqIT7z9vT86NqNkO/P3R4m9QXmuA1y5wRd8OxvCKNOxc GQfLzIckHI+95c6Jzn1NxT5M38YvGgjx9JiDltzbT2nYz00jUkj1JOzzjUuv e8+T0OjWrzJT9GSC16qNK2hbKipwM929eayLMKkV4NBpS8Hx9z77cEUBeyr6 M/Jx7/D2v/Nrb0rFz3PtnpYQ10ck1KG23Tsiq5vYf3PxzUEBEh6PS/O0Q/k1 /1TUX3jmzh6/Htx/2vslkz/mLuUrkXB8bjZhEn6dDvFWqzmVnMeYji6YXTil o/3v/OwrxkiofccR3s4jYKUhnimVbeCqyMWKajqw38ah/YdawQzavxzE88C3 otZVigWB/wwLrBK7Ac4V8qSnjDb++302ZKD9bXHROQ3g9OsVh31zwQKc/a1G oWBavC08a5AXpgwWFnmqEj2RgQbUWnuezzfg8U3uHxQnJEbBUuvDU/MawR+/ LqzdVwAObTNySIkA0+Lvjc/0d13U0hEqqzP+I9uC+9P10bFDhgtszi6Abs40 Y88do+S86ABzPilp3ZUL6/9R0Vqc8wUPLs/sazcG1334khLzrBn336KMcd/+ SDDzQ968Zy7gVEPxw8o6YFo8DklXzNG6CT7fYufSzpSJ4/HblUq8h46lI6GC Q8dsWdvw/hu0tituHmzFtphffao8G2x29/JFFntYP39QcKLvKLj2YvlC561W 3J5fvL3tnzXBtPiaY5JtsN0SfHNUSf3N5UzsG5c9rQc/ZuB4m+NrwWslno4O Tpw6Pm3VjveX+mdlyIwyOFn/8wGeR2B5YyenWP52vP93wUxM4cxg2v0Puu7x Yosb4KehOiE7pzNwvHSoUzeW1U+HeEpKIa5/ISHPn0uaqaIdeH9PfwyP/wkH u272Wy40BmtTTOdMdDuIE5dux/u3U8//oUdkFe0O4vrBBH+hmUzUJ37zvY5c B7Ev43jGRHYm+mDYd+Xerg7CbGaP+5J5JlJLWL2bYO0gNGWvrGfdk4nK30m/ +fWznTjuVZDMNZaB4+lji11c67jSUeb20OELvJ1wPr6RbrtqB+Ya6jz5o7cD Hw9a/Mwwu1Y/fhl8l487voJ6PGjxc7hBoah8QzqOj5TEzjJ2VRivQN2xy9P+ bQYKSRL+NbSV8u/7BdR8Shv/clC66qgEZzriSub03lrcjdujN/leYPx5N5GS 4hCkMpSOeCOFprvEeok7iwvJZpdISCz41eeVcz3Ezc3OPaJ/SOiM+gatV2U9 RE/Wpa2f09KRurTsh3fXewj22eMHei0ykIet4XrFez24f7T4uTZhUGzP1wy0 +t2C2Xx6LzGULdWx8CQdPVG2qwu70Es4q296dM8xA5EnZXbO6/Xiz+P6ti+f 9HAxE9Ef4T0sb92E30dTbRf+uF8NHGpOhHEcBg8vqCmt4AYLBhvPfVpqxG46 4c51dhCWj9Qy5VZXgedOBCpIJYPXv+Z5k3UPnBLLxL32c+O/x1M1G03HuLxY 2wWWiflsvO4Z2CfagJktAdwe1ZnJ5gumxduzO7THv33Nwt6Y7xG2Oj0b17++ Pz8s2TzKQiEjm303sPytnzOz0A7tnR6VPxqwc5pEblwZAMsgGSueWnB90UnD hmwwLR4vpDH2bh/LRMaUFZ41ci24vxus5a648ICrVrheEJlrxrZ9UiI/2g0O e1IkW5oJ66/yoj/8+y7Y2U5dWNoYPH3fYn1pXjM+Hk5rZUm6geClx+vRSnsw Ld5+lh6p16zMwuZySbmwUi8bx18J3zt/fqRlIu18v8qFhVb4/ixDCmpbwVd3 ve04a9CG7THkK8smDH4gShey/LgV738i0tO31gysxMBw018GTIuvTU6vL1xc Dx4ba7cIp36ftHh70v3hqpMBmYi9PIpeUa8d749l84NwUVlwxMXRmokksNmn jH6tW2Dre9MiVQfb8f5Jb9OE1Tf+x3/j7TGjCEk9HnDzpXxCrywbx9sV0Y2t 24czEYk965jV+Q68/drw4qYtj8ADOz5UENwdePsHvllKXZ6A/dHuH3RY7N6f JQjmWSV35EN3No6fxKG7kp+fZSL9lXvpUng78fYvquwrE7kFpsXHI6cZVFe2 ZEE9SmcVT/84G32x2DtjKdxFrDwstmlWJxOVSfhpiy53En0R8l30/RnoZd6L TXE7KcS3vU5zgZWZSCVNYjvxgELoCuYUnuPLRtbb391SCqDg9ss5K5p+s+3B ptV/libpE67UfKF5UUuXuawXty/5qqHFab1evD7t/eW1FSF7HceyEOH4lt/+ Rh9x89Gu50Z7clDC4MdMluA+QvSDAf8VtxzkyzKu8uZgH2GysvfE8yvZ6PGL L/R6mn1Ev69SnnxbNo6H39OMlrmYc9CKZ8lfTLX/nQ+05HM2smGtemQoB+7V 7xfR3QVWyP/Vqr0a/OLi1n2hw2Ax/fORW2rAqUYPV0eSwNxmtc68D8GPLi+O xV4Da+z6RTnx8W98bc1FVa9fZPG3goWt7nkxloAj16pd/BADZs7nFK31AdPi 31CeRUXWQfD2epui2hV5aOKeV70ty9/6VSQXWV5b4bRupgF7/OJN/pwhsIXC n67T9eCPwk6eU/lgsy0/Dz6MAtPiYYCekDu3Rg7qHe9TmT7Ugvt7+E1f/sNN 4MCmPs5935uxv5T33apvBzOZ9uVUx8H6GxaN27rcwLxPPn8d1QY7s5+R+lbW jI+HKjeSPx4F5uMTOxPsDv7Jv1vnvR6YFg9DL7GMM+uD1wgb7JBnzcPxcTz7 T9XgdDYy1u9g2/apFe+/PvPF4o7nYNsexaFptzZs+1VNCcHKYAfps2YSW8CG ITamamGtuD0VFcxOjFfAPGOJfs+Og2nx8ZbHu88JKeDI5y6Eu2geEh6cPtd9 vR1v/3ruglTFOTD9nabwwQiwJMfhlw687Xj7tHgnPriz8EFfLrp5v/Ze7/kO vH5kJ5GcEQpW2p9Rk7WuA3+eFr+47+axXLEDX1HzPjoonofeZy0/uB9HxuvT ng9weXit5LVcDoouzXV9O0fB2+d41cvrUE8hnE7ufvXzbB7yVa3kePKVQvye 1pjP88lDHixRoaeiKYRF2MU/ZzblIeW7p6vLH3b/v+PVTeSrVq028wGTHlcd 4JDIw9e35fTW3OXGOejWilccYdE9eP/hc7mnLcbA6/L1ZfUf9RBMjXXK12Xz 0F7JMdO16T1E/ut3NziN8pBChd3D8uoe4lL1fFwFtX3tvV80as71EMiE+dKN zlxUM1FzWO1qD0GS7REQpraXFi9H/e/m223JQa7ewgW+zr14f67b08WOVYK7 P2ltEVTqxf2jxc/4PTPT0frgkR+Sqn++5OL7oWt1tgsM2eSgE7/i6vsf9eHt ZQnEjdmL9eHt0cbb+BCpY/3VDnzaaCC1cAxswnrZoVEoDwU1XpD8YPnv71UN knlI6fShSpIaeKmN7aSNJLhQfbL1wDawJeW11g8G8BadmoI8Mjg3U5Xnaxn4 5BLZSzgOPKym99naG2w9v5y38Knx3/EUBPPRN4s6Oq9OsBP5kfrq5+BFpJX0 OAnslb315+YHYFo8zaUveswwnIe9ia2f31wrH9ebSonVBqbJeSjaK2Wzw2ID ft+2MTL9TdcY+Hd+dpxYJ1igId80sBys+bZ473QqeHm7ja//sRbcv6AHF0aj +MD8cwpHs5absUvNRCPKh8DSi0GmHlmwvv+kA0+3L3iw70KnsBmYI7zlPH9x M+6/eX2ReO0TcPHvqA1mzmDGvV5fGS6CafHTa/ug1/CxfBw/jzNV8T81yUMr n61M2TbfCt+XJme9WzM4NN6o3NygDVu+k3Svdx+4QHijiFFwK94f60TFK8XL YItUS+39cmBafHyllNvHyZiP3CwSAtQs2/H2zjp/9WQ/Ad68bdTsR8B/lntr cOfubsfb872vxVi7EkyLlxVe42mO+vm4Pnyk1sMqrUCNR6E9zmfMOvD2dpdk J51l6sCft22dDs5W7CQucI1Hmh/Kw/XeTxc+gWvUeH6mn7N/lkwm7q5G7rbe +Yg576x+wAyZWMX0fUo0Px81vBKs1s0lE28MD+Y2qOXjeHox3PdSiSc1vji8 WJrupuD9W7huuP+Qtxv6N1slSbygELVSwRRdr3zUKP5FTKKXQuzyHd3ImEY9 fo9jw728KIS7b9+DIrF8NDM9O3otgUIsOInztl3Kx9fPfg3RgoLUeLhNed/v e0Ow/QtRNoHH87sJz8AHl9Mf56NKPvGi03XdxGZ1j01fs/OR7Lggw/fL3cQb pYfKF/fnI/FjV3Y8u9NNKDocjTQ+k4+EIvOPekZ2EwUJXyesrubjeL3K0chg kID4bT2xVqnAKw/Z8qcvXArqwfsvF+yQONMMttVqb2C07sHHn3b9PXNV5cFt enDJpeeMp2TAq7bFDFTb5eN4PTsrM/j5Sh6KeacitNGxF2+/p0NHLCYbbMmy mFLzHuy5hy2EUbcX7x/H61odnndDedhBfyRDTrHB8iffpPTfy4HfFw2cumGV j+P7lT+T9mUX8pA7X0vzI98+vL9vQlkB8n/H6/tnf7T4/aNd9/6j8TzsS/ej drpuhOWXelbcmjsCTnY8mddjRP3/F9l8ahO1vqaN77Lq1aM3xprgS+dXWRXI gHPG78zR7QLTuc/7nlsDznvgnyXcDY75zGv3/jnYTzVHNCoB7JhF/Dx3Dxyy Qkju2szf63urAhQXKPjWbgicvnOPl20duKiQX+BKHviFwu4G6wgwLb6bNPfJ XtQuQGOv/E1dWf7Ot8VVgMT8eXWu/mrAvqmRfdr8HbiB5+hx3WYw+/tWCfVS sGGWwT6lRPCVfuunp1EL7s+TW5n55tvBlbsmM24tNWN/qhNKDh8Evw8Zd2vK hPVzkebOyXtg18+V9WtMwb53JkYMKptxf3Xt33ybiwcfNGlcEeIJZtB8xiZi CqbFd90UcY39ouB40vWEb8UF6Ggf8ezuyja8v9jmrkHFzlbspUoLOuZEsISB bbG4Dax/OJhe67AE+Pqw9tvW2614/8z2p4rXa4Lx83CTDz9mhhXg+wWaj46O nX1OPX4HQkp0L7Xj7R3YfWawyAcc8Ydtp+zedry9/sKXqx/Qg2/NXv28Y10X 4cD8cFXFvQK0/Pzxnm8ryfjz5+KjtX+rg5tilh3XzHURNvMHnsr3FaCgTO/O fA4ysed968ACXSEyWys9ovami6hkaV/YkFuAnzeipLkVq4flozLGtaszBmB7 qxXsP8xwU7BTGvo9dnSTiaw+tu836grQnQRGk+1TZEI4oHiBeawA6bkcOLmV gULkKF5ijmIqREkbZQc6E8nEpEm/wvLtAiRo0Je6p4JMqK26pCWYUoDzhfvk lYcJd/OR0QUJrR2vYX98IuNqHvPgNKPFg0vPKIRSTshj9aoCRM+ow4laKUSb 42BVzZsCZEAqWr7zjkKcJwS+S8wUoCjf8xt8AiiEYgVLxJJPAbp6KDBkKYVC 2BloKrknFeD8cZl+dyQ7tf8vbzGsZ67txvuLYoh+c3IGLG1vvTKe1E2Izr43 kqktQC5rZK08yrqJk3pabWYDBagskbVTt7Gb0Kuukw34UYD+HBmUlqFu//pe 6YxnawpR56Pi8f5r3QTHNq0iRtcCtE9+y2Y9725CnaVPyi64AHnPOh8betJN PPx9qaI3qwDnl5qZhldhQf/JP3sf7+2pouZbK93qkrwe3L7NmlXH7gyBk2bn j5Zf78HnEy2fyKkt2LgJgkeyZjt/nwMHfQ86oeMKHvjx56JAQgHOPwcX7H76 3IN8pC/lbmqRm48KRG42fgzqxfv3MfnheKsSnEzs9Pih14vbg+c7YDMjXhwE M9UdkH6lCSbZdj8ZdwKL6nbk1kYU4PzTOS37rcYN8pGonlXzj1hwQENY2s5X +Wiuf3VK9tU+3B61hjMBEgp9uD20fPN7rdnshDjYwPmdd58GWNPOVgVdB9u5 FBPmgeD7XguHHlD/v2j3g2o9i/26FgpQjOWP0j7DJjy+EMN6wx1eSmDrkub7 +w+CO3Slf1K2gKXoU/VuLTdiExwprUIjsPz70fik7fXgFIsoZ/Yc8IWAJ6dX h4DXlAXuXHIBrxDo1G+ebiQG/2l3ZiFKKYnJ5H0DVj5p+dumGvyl59CJiixw 0OUVQWufgGn5TCrqKp+LYyGS5Yg8cH91Ix6v55GYjNjszwbst2cGDpm+BYtZ 35TsaAJ739t25GgpuDupUjYzEYzfF7/ilyhDPd5OUdbSjgdacP8av2+KP7gO vE2lnGnyczO2MrOemF0ULF+S+xBMdgQX3LgyI60O5pca82l/2oz7G+m/K2Bj JJht2CBS0w3sJRad/EQXTMtfj0wb7wR8KERWFU872/xa8fJpnsUXlhfBvO1F 6LN9O97/l87X30kK4H3Nr8JJGeA+hWfv6Pa048/P2Bdku+3uJFYYlnE+ayjE v8+fFNhm/OU39fPnr1OOsJHx52fOy5bdOAnOit5OGv3SRYR/CvSqYi1CDLdJ Qg4MZOIMk9keA6EipGcims3ETSYYdkk1LZ4sQvkPose4K7uIX5/zjXc0FSJP xdV24z1dxIf9CztFpwpx/oksE96kUwv5qHvT7fs3VxaiXX6CipxvYf+O+0c3 abJRsLdWzc5yyYG/7HI49LCfTFzL8zDRXF+ERjf/DBWg5qfwUPsntwSLUC/z 9dnKJTJR6WrekIGKECHfeM6Gmp+OfZQQevuSej6Z6YUwlZAJ+80KBU0DheiK 73R3fAOZSFI4d6R0thDnqy9qEa3FIwVoztQye6AS9p80QxfS+Inyn/MlJunX xu7/fD/3Z+meU5fnNTnU0hWhyNuPjMUbKcTa2XPViRxFaPXhoBbTPgpxV653 /e19RcjpU6jUk3EKscJbX1+P2t6uenW9AD8KcXO3/ehQRSE6odAVuT+SQjB8 TLueQy5EpZUavfUZFOJ+2iC9x2Qhzm+KBd83Z7yDfLdbSaPEh5qPCj02k54W QPtqnqi4ZfeBzfY5X927ogf7rVUv713rbnw+rfi91tXgIZh2f4vvzVSB8VUw J2/h4HIo2OEJn0zFM7C06+YvSkOFOL/9LpWcYu6G/PdZWN3pyFwB+uEd8LEp DNrzU0HG8WAF2Gh47x3TEXAUcTHgtmYPbl9oEkcFlwOYlt+eukmeN3QAOxXe Nv8QCh71MGYZLgabNpjZlZPBHzZZdkX8KMT58F7jge889ZAvuVJ+rtw5Bs68 VbZJkFofTdiGZnI79uL27kxYUV8fCXaINiy8UgmO/dCXyPQefEuULoJBuxf3 h5Yf2acHd224Ae6T2M7UFgBOGut0cswGa8vrcVLqwSxxY0/F3xfi/Bm009HT 9Tnk24mcseqzPeDjMjqM/NR6ZwXf+1v7HPtw+zan1jnMS/Th9rmbcivPaYFp +fJ6qNGk6zVwMlvlAXV/MNmP98beFHDVgRjtHS/AmneUdVq6weOdMxddvhbi /Ku8+Yxg0/4i9PNe6I023SY8/ufsroG9aQrgP5U7hz32gxcvWYZosYNX/M5V FlloxF6+/m3efxCWO7CP29+vBn8uGvrkmw42Pk8xvPcY3DfT1OPjADZ0fcdn +P3v7yVTRWiHhUjT237wiIabg1EtOAnVbx/JAZsKb240Dgfj952Z9nawlRfh +4VE6/ChMv0ilJAlP3uU9d/rz4Zoam6xXp+26ncDtuS+Qa3OUbDnRDpTdBu4 Jd2xxOw5mNNS3vxAGpiWj+vLzhedO1WEVshbZ1wQacH99d4pzKLMCl698qu1 9EQzttsVOxtKDCwvO1fTPO0E/nWYS5hVHVx4YfRI+4tm3H+ZgUhDszhwtYH6 3T+3wKqjq7MeG4Jp9wtHi5WFXrAUIastZwr137Xi7deuyx1bSAcXII3adJ02 bInHs8ckuMB5G2/FB3i04u0L/2pn5j8Fpj0/Yvd5UUx2ZRGS3aMXZiLZBeej NH+x+RWw9OpbH6JYugg/vg3F7trFKHCbRjr3ji6Cc8NwJJ1DMcqbP8t3pbqT 8Cww/3PpZxFaO+Pl9XCgk0h+leg9yFGMLL+Ufsye6STqOofWGUgX4/yf6OJz x2l1EbbYnflTRfJFqMpFl85xHvafFlBz4Y0AGXtD3b6jQWrg5tdSH6anuwgZ iRTfZbVixFWrPFZGRyYcsvyDWS8XI/Pqi588N5KJ3J32sVy3itGq19UK6FkX oeurEvGesRgpsfYYsbZ0EXfVfjMXby9GfuoTHr3DXUQ+Z6qjD7W9uD6gu+S3 e1UR9o2pEvNNEkWIUcm77csktEeGs2+ycT0FW1fv0Z/+Q2D73MCDKylk4vaG ro5apWK06JMsKDhKJo5fVesW1y1GvrqlfGe+UeuZtpY3CXbFiF28kfPGMpl4 LXxqmM2rGFVtoif1hZGJtrLGnnrq8TY25bp0Po16vbtucg/rmmLEUHxgXQe1 nmAyZXE+S+1PKqPiS9XXZGJn2b76oEPFuJ74te9zvxO1XqHZSMtolSO1P3Y2 5grrq6C9RQ43nKrfgS86qG8RpO/GlrxB/0VpN1hppEfjdzmFmH9Wz/bhRDFy uOW+5WoDhWB3M1NioJ4/ibw7+scoFEJYZuWdXdTvp62sNtZghHq9PB9bdtyl GC1oWRn3fKEQ+s9lvhvdL0Zh93XUU+5RiOx0luMZC0Wojv7pN85Q6va7wy7u YitGs+4cgQ8SqdfnDLuvR+8oRoK/bhxckUchnojm+W+m9pdWf5ynHJzKYCrC Xnfko5vgHnBdbNSaVGr9+Mo7ioU9Ffozd1bY4kcteOvdkyzPPoCbZm1jTjP2 YOtbzOk0u3bj/zcLrwqOpidgWv3xdFJHhiEFvF2gguVxNfiuId8A1wh4MEnS 6PUymJ/7LPMMbzG2TYB59q4jxbh+YXnmo/B2UxG2qeLz1IsHi1An/f7TVxOg vUxHO65ZVIGJL9EO8sPgG+QZfu4lsOTKg15d2j24P3VC29ZtuQ6m1ScHRO+F b4wHz9uE/xp6Bq4jpWtmUsCKPT6cmtNgVW+GW3TU85lmdVGvDzm7wNpDdKq6 csW4vllQvSMcR61vaZ48zyjLxgN+o++ncusQ9XohZYvzd+de3J+X+xxcn4SB rTq4SqRLwEpsxXvfkMHb+5piGVR7cX8fu+0nWC3AtHqG0ZNTujuv6D/10XWl pnrwLv027aq34Jt7Vw4Rv8EFUZWOx6jnN80f195kkxcA89w+QlKQg/F2w27f jvFfXYR9Spv4FsUHXhZeUsiSpMavPMORrbZ9kF/CrpuRH4DDVFUDHhB9kC9q cptzL4Jp9c6fXXe/XSaBc75ku/G/ABuXURhHusCbvRcfx34Ch03FrM9YAufn GZ0L3gTzGzZe5w9yFwS/l/jUaUbtL62+ej+5NfrVw2J0u4dD5I3Bv88736Yu j5OzYS47CX6R9PJt2AHw4Ootzxy3gBftbILPLzdiB5QIa958B8tXtyIBzTqw 5weN30LZ4PkF80a6YLADu2t0rzM46ISn38+Rxv+N7xckUoLkc1g5fJvBMxxh iTwl4NRbOw7kxoEvjGc+P+4HptVXR17WMC0eKkFJhwIUJpca/vf7tsRQMWr5 VflkfgI8+/TrOEsPeKfbdhnearCq3NmH+3PBTssew7JRYMVJf4/4v89f/9Of fHSS5SwXeOuTleGLf5+//se+kxW7szrBJZyrpjwLYf0F3lcC6f7gYzvcDdtM wDHBm97W5TXj/lrzKIpqBIClk5w9h+zAtPsZSdwzBwiNEvTybXlI8eNWvFwq m1vqmBZYgN3Z66paBxFpf/yb8d5i/PvllNBP6QRqvvzjxKZ5xabjf+urby5G 3w49HF0j20HsfZ/X23KmBP9emb3m83TJ+WJU5C43VKLTidv/6LnmWk+OTiLH ZIBc6VeClrNMjLKEOwm+vZ8/PE4vQddi7Yu7FTqJoC/zvwwaSlDfwUeCTIsd RKfbrfgq8xJcn+UnqHH8vFSM5l7vPGS0rQtvv87+U0T+SfDD0AhH5uVOIjTY iJx0rwRNBwUf7mDrImJfFY/kx5YgjYCHPyP5ugjSt9XfKotLUMnDe4Wmol1E AZ/+cksz9fg9itpf9LqTsE9n/6F8pARd7nk7Vt3XSfxaypdz0ixBK/kEkro+ dxIummd9k21LcL327Y+89kl5qOeqdlHcKq8WI6G9PiL3l6F9crtPuFjtIGPv CpkK33Uc7BcepaA72UVwNeRoVN8vQQUlB9cs/u4iNI0Yr7jGlKB+cm1bDBOZ eDR36a5oXgli+HEx9Cg7mWgILIgbf1WCVq8P4JHN6yJujKjNBUiXoCrb1WEy lV3Ek8pzhXup35dTi+dGmdYuoixa/cor4xIksn/h4ZHBLqLfRWPPJScY3/PQ DfInO02o926p6mvrUOsRyRixgh1D0N5HruWCdAtgoVI/4gYXBft+h/TZFAnw dydu1RAymVh3LzY2mno+BEWo/tR8SyZ0hyOMqiJKkNhzj+jNn8lEhmTo7vfU 86NzIE+he5ZMzD4OGGN+VoLsl0Y+P6GnECfG/TP2NZagZJ0slrxQMhF4elT5 qHgJYvnzScc0kUwItoWm5ilQ14/cQ+LMJROVakr0u7So59cRs1/Nz8mEVucf g1CLEoT6ExXu1JOJLxrZ5cwuJbj+S7US9j6qDPXhBe3nP0wug1crKJv43aPG l+Lod7Y10D/+JfbL29+CR6uN9mbPg+UGbrrQbenGrrhnc5HiQcH/j3ob64+f CwMvRu/a15ILpo1vy8++PTBqohj7aBE6d3YVLNfWNN5ALwA+Yxp0f/g4WGhX wICpAZh55KHIhFsJrv/Ck7PeTJyFelF9wmTvdysw60Ee5zmfYnS0KtrN8in0 x+SkRutsJ5hH4GOFxRT4LVJ1bmDuwWbesr7ujF039Nd9uLHnLvjHSE6rYSyY Vt+dmJ8OuTME9d4emzUTCr/Bqwd3Eas2wvqfT8uFNO0Dc9jwsxcqgG3eHme+ rQd+pWn4R9WxBNeLoQNn5e3OQj3JEWrrb2oBDjv9sEuHej31w8Zy/l0y9O/r 0OfbX1+AffToXb73gu8qtnz49h38evth2dQLPbi/TBZ5CXV2YMWcfcyf7oJp 9V98VJLLpo9QDy7bXCseWwAbHCW+Pd8E679gWyscIAQ++urZ/TIEVpkr9H6h BdY6mO1RbVOC68esuaUqs9NQb7Ya+29eNAZ/bdpiFeJcjDrujhLPH/Xi/hW6 +wgWkMBXyPL7cl6B3ys10mUNgHN/jK++T/Ti/s558myM1wLLbzzDXXIFTKsH Y63dtl2YgPpwjq6h59MSWDOcI9BtE6yfI2KqslYQ/D4u9ttuWXBzL/kHvRq4 aAPLrxETcLTKsd8vnWC8/tQ96SJOqlCPnr3t1y1iCJ7ttfT4eB0cL6oiEEuN J1PRSvv5XPpw//U8ewVPBYOFXPPvsO7pw/01iDvpfeEoOLRm8G7yeTCtXpTc voUz5gvUj7xOm8XM6GA5XdsmVWF28EeBjeYzAuAL1qUtjtLgQVZZxvpTJejV XWnZE5ZNeD6ME7VdtUznwA30tmfrpcCqx1f1+fGB228nGp9aBX7Bkd813Ane arQhXf8p+GbmNY/BGPDATIeGrheYY+djg84vjXj+RK1s1QW9XvATqTURn16C u6vrDjtkgjnO+nSuCAUHx96bZMpuxo62JTp4/cGpR2dLxCzBtHrI9gDJV88T 6iPWkyoFMtUl6D67utGWbZ24vdfUTa+dPQVW4fuqL3UDfFgk5N6hwQ68fXlV ct0nhk5s2vP9EhO/PJr4wGNXWPfaGpbi+ulrco1jTiTUU/cOy1Tsp+bPJy/F btAzduH9PbhblZrED3YXfH2eOPGf5ZtHS3eYguk5ugfLGqE9k59I9d5jYNr7 Vz/q5McOCIA/S/EPXNEsxfWS4aKuMW8g1FMjk8pb/EpKkKuA0Nr5H7C/Gxzm OXJsZGzCsuXiFiFwaMvnH3cUwEryJIPEp124Paab0le3t4Np4wsc2XRVknIQ HBIhqsV9vhTXP2o5OkFR96A+cgtfe9E/FZzi+XKHW20JsjFBXusHYf9WK1p7 E2fAtk3PdTavo2DXZMdLSwiAuQN8uLSPgn+p6xePx5Jxe1/6dXfXFIEfVJ35 Hd9I/n/zhZIJT1lbFiQKfumeuXL3WfCKivE55iulUM/Y5s2l+kL9U+LmXsaV BDb2U3J5UFGC9j218A9sgvYpWk/sfDYCFhYMUWqZA0eqN/k/X9+NzXRzZVv6 HrDbiql1o74U3P5vczL3fWPAFj/uM4oUgGn1yllkpyQtCU5rnxMvUwMvG3pv l7YqxfXKSQOpOobbUN+cUrq0JBYGPivqcdgoB6zBnWDzmPp9+qc3NT3OhfZq r0ycYXwNjuk//9N1ADy9SfBE73ewvOqf0MOre+D83LKTefpyN+4Pa/u+xiV3 sLfv4YdrA8G0ekR/NGZnmSiYJJrZtloJ/P3WU/eL+qW4Hjlyq3HTjvtQvyS+ OqjWHQtewxT2wL8QfF15sR7VlyA6t+rdA4+gvWeSD3VtTAFHtaTcUX4Obnob W+PRAdb/vrGrYAz8jf7eu4+LYN3zOUbm1PqG1r+0kQ9H5W3A3+228vLdBtPq j9Dc29kme8HPmO8qnpYDvzXwH5Y4B2Z8GuDMZ1aK65HTTFZHBW5B/TKTuJI8 FQiOJqIsi5PBCgPiy+6l4Enn5hAFarx8HnzrqLxXL+6PE31UvG8EmPv6SaHW XHDyyfP5fK/BB3hNpK4PgKMWZs9NKsJ8v8oaueL9F8G/0s03N9mCafXGNw/i 8oGdYMOJsstHDoHbzh+yPKEIPvoyx1LtAjh7/16rS9T/j+LZk/vbn/QRBxc1 mc3FStBDgWEr45t9BNedShGRCyWIT3O8Icunj6j0H2kPoNY7UXbcA1ymfUS0 2wFXh8PU+EZWm/C16SNs1u2+ueZYCZKWvvd79kYfIZfAeTtOtQQZnn5aQBfT Q0SxKApcCotCZ7cfdyjz7yFYYtI22khFobQ3ipteFPYQfe/VA6pCo5C+aLeN C/V8rD8etU/nUBTiur/GoOQxtf6U2DWSeSkajQiIsQ8mUK139+Wv2Shcj+wZ fuGsoBeNXb7jUknBf5bnCq+5s6I2Gl0dsHdUaqcQivox4RTjeJSlIjR3tZxC jNsk6Wrtj0e3w2LDz/ZSCLuFzZlko3jET7r2gOULhdAZY+rYKRCPnqx+1cL1 ihof6Ub3UmLjkfc/j3+Teoh7+8YSPtfG/53Pvpcw90i4nxUMVr5AWuOAx3/t I0wa11zMSgUnf2S0+jQe/3d+tG4iTmJfsNv+JLx9fhvNZ/d/JmL3CNaf3nYi CX+fnx2XvvlzgkWLPcWu2Cbh7b/SWGHnupiIbaRkUfYmFVzvHMW8qRjWlw88 9YBOKwmPD8GvIjspOZyC22cdGyymlAAuvxT54Pe6VPz/N/GWJ9PLIQX74qVP YtGfUnD7TA+waXywAUclhtJ/nEjB8wmpBLh9tV5Fwg493taOHpGQSfkLIf0H fXg+tPM7R2MD/fqIo+WtabwxGYgh4PboM98+IqLFqXtbGrz/LRNOqd+0MRtd NuvhWNf093pyTRa6o7UlZItYD3bkcfoNlOZuonQy5VS6WBZC0pWrfsj14fcV acenYu+nyuejWdhJAmHvUwqz8fxoT9nOTp12K0DjCj6MydVd+Pk2Wn2xgaVy b6Mk+Kmc66OBhAJktEdZMVGtnRiUvxOw93kREs9l3PqL6vB3NfTnWovQeQrl dXl95//7fbmTWLTjHGJIA0+lvupPmgbXupmdUz5MvZ7aatJDfO7A1we0enGd t5th/mIxjC91JC+5k/r/+2Dhx64OvjY8P9vPB51F21paiaJPTFzL1PgrY+e0 w5Zqw6Tpr7bU+Pu/dKLdTjAnGeXsMIL5vs9LB3XOl0Rgr0/bmJR0Cdx21Deq +WokdkiiI++OTZHoTGUhmRdR/19iw+IDqesLueR29Ur0EappnQG+1O05Wvd8 OinQRzA/Oenre4k2/nofkXd/fNesXST29Yklv8iNYO6WSY2XJbA+5/oVpbnU zwc8TGEjr+0jdvewDjZQPy97bUX2eqpLeQ4E2lM/f7Hd/R3ntj7i8Olbo3TU 9v57/72HsGBYUbStLRbbmi1K9KAx+Fpm+OyYXBxiMx0uJFv3EK8tb8+LU5dn eMl1C5v3EBsemg4IUz9/25BF6Yl6D2GW5Bf2yIQ2nnEP4fVJ84w1isPOatte taUTlkuQr86TzGLRyXeIeSPqIV6Vup87QcSh7v/V071E566vdiv+45+9etWu rbHYvgP0E58NYv/O/9pLtHwKCWpoB4vzaRimGYG9QnJLVhyPQzfers+kp16P b/F/pONJXc5ZTDpsrdZLOFjpJYpQP78+WXnbVtleQuC6W0ayYezf+Q+6CcXS WHfS6kR076pQzIwrtT77ufg063UCKrWqSztm103wvPW6wFuXgC7XmH0LP91N sCUxFBiyJKJu/V0/Tph3ExQfm2GBs4l/r58pxNpWEoXnSjLqmCr8tCeIQjxW ezX8kOqlAjrpVBMKQdH5ldpZm4xybjo5qjtRiMm0ddKBNcl/4w+ZOHqQ7Hog Nx09Kn+6LsCLTDDa0h1IpPpYEut02GQjIaR0/veH1ghk3L6Uq93ZSOirWRj6 +0Wg9GeuWRvKGglxweUffAoRSNJJ6nVRXCNRfHljltNSOKoR/zWsfbeRkEzn N219Go5Sn9c8DHjRQDjwZuhklkb8rVcbCMNT3/OHeyPwfKhNxv4SF0VhPnTl jcu1u8iR2K9f2p+fcgQrXPv4voQL3KUw4EdfCdsze6w+zmMO/tVXr3hoLdh3 N5GiWhSO47E53x65jrII7A5SM7ezIVhO1P73NmZwTRvL/AL1/4HmqxLZwRfZ I5HL1etet816iYjLN7+XMkWgQN8px3Ar6vbPqtA/oG7fKZqjGVHrnV+Htlx7 bRCBtC1JHEoqvURctKPHmlURaHqDxBN/avv21Obqq1CPR5fEJvnhDb3EiUU9 V97OSOT+0PjMoy29BEdZ0yi6EYlKGMukvjD1EnSSLd5TnJHoO/oVHiHdS6QG HraSPxCFHCN3fvUQ7CWM8zoLznREom9+jU3F4dT6qT3460lq+1M7Gtemp/cS zq9P5Oyjxh/JZ5sztHJ6ie1vWh5nCkehcSt7tVUxvUSp1/hkZCv184Tk0Ql/ avuXjrsHUz+ffiLrBI9bL5EQ6PL4KLX/tPqxaUhnNo36eZoX5aJJJtTPP3qw RVzzaDexJaf5zA3eWPQ2N2fVuv3dRP8eLcONT2NQQ+mu3Z2a3YTKtLxM8ZZY ZF5eMthJXS7B+Zaw/hGL2uSvfPuCuol3OU8YfnrD/9fQ+q/2zu/BpeebOkxd wMMnJJiaz8Why+b//HUTv2vm+9d8isV+ZHzVdJ9HLMqcy7tLT91+/4TnhG1T HIp42zYiTW2vo4WQ6zm9OFRpuqQQadZN/b4rtdq445Hy/jKT8nPdhOvXJu6b 9XH4euqIV20VC3s89i5R+6s+JXH4+sNRKPak8IZ4bJc34iTVnDg8vzCjxfPu 7DPgC3n8tz/1x2K/Tvv9atQGLB7XxDi0GIPz8/L6+eYv47HYJPeBwBxn8Lnx Ci3bVeD+xRSr9O44bNvSH1qnDeJQkekt/Qa1PuKHNUdRHmMsMnPqr9up20c8 UdNZp0/dfnPKuMEvxT6i7Kn223U3YlGZfbmIoVgfIZL9rPf3ylgkYJ3mwLrc Szxs3ZmR9zoOFZC1127500vcC371KFktDrFHNd9bs76PUL4voijdEIfnQ3x7 2Zifc08itsv6Y09/fYD5Eq89HUy9ngq+bOgaOm0O8+HlLY52BVDAvda36c6E gjfXK33o5EhEh5h1h2QTKcRQrXYJW1gCYuWLqNxPohCnnp9l7ehOQPOPOpLq AinE3BGT8DMRCYi8a3t9iha1fS9PsWWbJ6IHNh/mn5ylEFFSq2ymdyeiEl2H HznmFGKbXf92fdNEpPbuZEz4BIXYk3HtatWGRGRKet9y5yuF2Dkt5lcemYj2 Pn1TNdZNIcQZdtkIaSciA5ZevYOVFMLolPoAE7V9tPsRWhv1lUIiwYymnCu+ aibifPjMzEL+Dwu4uVf7Ok9dAs7HcR3CDpENYA9G9WvCbInIg+ucyGHTHmLw 9l67D/UJSPDBruFmnR5i1bS0nz3VtPnRdy5O+vLOJWMnCY+X+aWCx9dO3i3V Aq9k2x7EvjoZ6cdYMA41kIkNm/5Ian9KQkVfBFi8C8mE7pkdLI9kk9HbV7dr wiLIhOyeJ7MXZ5JQnYrnxEZLMnFPWHq96I9kpHtEtTvChEzc9A+MuZmYjHxi 38o3e5CJzRUNHgenktGzgfCbO+bI/xvP/VJnMpL7+l3rn/kA/pn/dIUnzNfJ uZJF8fydZDy/rhBKEDGoB5MG1LZ9sU3G8cJThGXpw3Wwzd6K/sHWZKRX82Sn ikc3kezuN33sOuTTPPHJ+zyCadij44qNR1/QxvujEJ27t5gm8aQhN6ahP+UW FKInIfNwHG8aqmIoF5e07SIKNtz3NBwnoSbWKcEIty5iVkcjK8QoHeb3SRZd jQ6BD2f7XR2sSkcWbsqnr9R1ERcZWfTzZKnebFMY79NFnB53D6z8mI7c+NbT FTzqIiSs96WpjqSjvR9fP+RnJRNmaVuTi0vS0cXHNT1DM12Ej5r3LFGejv+f +Poqft8i0tG3C86cWkUUotQ8y6zxdjo63b83ueAchVgwDU7tWUhHUV15Ly9S 6wst9jblZ9wZqGzHcvC7X714PKnXpbm/OddQr0e/c18vOZCO5CTrRBu9OwmB 3aNDDsxZyHrZoijVrIugLP2atPmZiXyilKIFsjoI6crAiePn8lDtyTLTn9e7 8PudNxgkPRtudBG1PC/ybx3LQ1PWO3vSnLqIrMbYwJuueX+/7//j6szjsXre /0+WQkTIGllSUpZQpMxQliRrkiWRCimRZClKFKJk35f7xs1t36UoJdndt+Xe kiUSSlFKltLvfN7lnO/j9+fzMTPnzDlnltd1zXVmyGDfWfOfmmxVsCGd2z/r K/Z/gsgC7od4OwldX9gZJ7a8X5iM8oe5L+3SLSTQ/v2Lhuf5Grislym/FeF7 Rq/4ZhH+NX23iQ/JLzc5P/rAoQa6rn9644ssGY2XsD1euY3QTkL5a5dt7JsC EurPcPxi89D8Mx1ccuQ2cw2phdPbcziLf9BBU7Ed/7uHtfDq6Zl77Kt0ILBE pNqk1sKVeHUWJ3YGcNVbTOnLq4Ua94dEWLkQe8ytgIMdv3b+NgOcfKKiuKkC Y86cn3VjL2uhEk+b6RtRBnpeZJoz9+ywMsaTj6csfJHxeIRxqlOMow6q5LCa 7Ebmk3aRtAkvUi1sjE1Lg9/oQKrC1eD+m1p49M7e6RNIfj/DfUT8RC2keLXv c1vHAOQRFq6nc7XQ4RHhgTvyvTdNX37xZKUWuj57tdNiMwPIR/Y7xbPXwasz Y80aSH1092iu8+BD7CdR5jOS0gxgT8rEG4jXQc4u+7GlZcz/s2avGAVyLRFO YKzJcvV6yvk69HlXWoofOCtg7N/Lpe52ELHftqiEWSv8jW/qM6iD292LBN4B jH8SHFgpWzA+in9bzz2/th6SBNXNg9+HNmH81/7vANyqu/6Yb0hG+VaOg2Tz 9aR/5w13gEdfzu4f2JkMz8ex5P2x60DPM94tWKt6/inGSylvXHQiMZaKdaIa PqODzS9Vm6KOZsHfxu2Hqt4g+k7XnfOLcRasUbEIHm6hg8ywcrzdc0xviBxw TTuVhIffJ3dXk9//9afeNsXmC00Z/49yEnlwNas15o8UBRg+ZQmWGSHCRUqI ZmkIA+y9Y8QpeKUYnmnS85QS6gPb+c2ZSrZUQcbGFUlWo16w7bVpnMGLGhiS w7EtyboX7EDeMkdtDXQrv5ul9LAXhIxrVCsGYet7pXFRanGztfDPcB1fdRx2 HvUjpcFTP4Ox87LXzl/Ou75zWLUN43cru5ggoxbuqfG4wkD0RZmf0LLdai10 fB8VU2XCAE4bY/1lkfZq/NEwVNYa0Rv+XdZn1tWh+qXde3fx0kaMhSoSaqlb 62C4uUjQsCN2nnhCX18p4QgDUMbFf389XAdt8SYrfAhHpUYUPJaug+qSh1S7 jjHAGPeSpdWeOjhrEL4+yBLRV6H8AR/210GHKm4JGTsGsJXo3XZBtw59/gye RJ4K1TSU/RXJzNz9qfDCkw62WHkG2PD7PLeObTq8np0TTtNigCPrz9aN/UiD 2Z+ga5k6A4y/rLM/Fovo717TwGRbBjg9mPt44+l0eO77R/qcAVK/doZV3EIa 2t5DzxBeJsWkwResRYs3Ef0lwyyhL/8yHcpKTV2mI/pNYpqiO9ecDq/cx8e3 7WIArUvCfawJGfD0xPfOP4cY4IDhtZfXFdbOC6KC6vDhXpXj2SgLr1fv+L4Z Y9eMrGHuakS/WXueTGGlgYu05x/xxtlwx/c9t39x0ADPl5WgUIRFoIyv728q KBPJsomqyoLEb/Yl7nw0cOqZQNS2yiz4wDlX4OIvRC8bZBu+3JyN6pcq//QC Dz6Mf2V1SLmVY/6AT67ct78fy4aF/+1HQQerDzbvlnqUBhX/mx9poJP/utbO 7xkoGzeeAlb3Md784hXzVukM1B/AY1wZMRyBseMhL8JeKYzTIgMZu5DrMe4F LJiIIfZUApVXGknf5Jkn8FOADm6qsS0mIeVpStJxTOvoYHFR8MxlJD2tIT+u +TMNKLJEs5TNZ6D+0cotxVAxCuP4shLSQ2mM63gXLWJ+ZsB4yYmfoo/owCKn ZdAFSV9ktd17+j4dcD9aeZIdmQFPTn3gFPWlA/abYUK9yP0CHZZvNdyjA7u8 SxMJCxmo/+Lh9okJix8Yb/tjti34PsZBCvyep5Hya+eT71yQ/NE8ikf5vOtd bUoyxhuHhAUnLfDwbC1+/TkBKnA7TT7hjOTfqPzi5eR2KmgzzB1vH8FDo7bK dMomKsgW3zFEQvLPXT0cflABGa82kO8YmiP5FZe5dPmowKvlUgYeuf6aHtt8 5NHNiESMRV6Rx1jMMP51jVi3Ebn+4Stvcq4SB8AF39hHXK6F/97fANhLGhi1 ciyENiNtzra5A2Anz2KPlkYR7In5NvSquh/seEzKedJd/M+/3A/07S4ZH+0s hrMlxLg35WQwz8xWbv2pGvLxqBUWVZBR/+OnQ19ln38iA5mxsvWKWjWo3sC7 FQ6Xrtag+tow66V0ItI+19j3+5TYM16MlU1UJlwRe2/Nv/2znUql8WL+9S8N 52gLJVh6SlGZNhfSn37EfPkVlEsDJjnOzB1I+rst/ITmHBq43ZTP3oiUt+RO cax7SAPrxojnBpH0CLqPkFAAcj02SvpppD4ESkNrWhANXCXdf3EB4TV9WzSt 9P7rMB5lh7epnS0JeNTfXTs6quGXiLF+ymqWE/K9qX+sHKufUMGVwEKSFZJe zj5BWoygArMC2dZh5HoPzxJ8n6Qi+nlo9LzmCOa/8t2bs+2oeB7qb99qNrM6 jLB1UUjsfC9ib423b30tvrb//QD42AKFiqPzUT3/syGKoyIqH4LjkSIrowPg rNfC3VyEt7G/r81VxObr/7q7Qge40LbtGYd/EjTRFjKUZe8Actv4I12WkiCv /Y2rV2bawRnbd41dlUn//MEdwPwgS93YYBLUeZk7mLWl46990ZSE+gtONn6/ e+UENh7OS/3Z9f0Odr58p+itMRNdHDpekZ9ZLaT+H26VHrDgCMXB+xyDW7/v RNpLgZ3qUSSdufRNPCs7DTw9nD3JFYJDv8fJ2/IBLaEYm5M2714+goN6M8Nl j6eooESOS3cOuX+iktj4+U9U0FXEkTuD8N/zwSlgYy7tGH4GjzLrtuLalTw8 fFb4xybM8d9+B3NY/06S5Lcda8lB+9vrcVLczdcYe5s8DxESyYUC5l65moAK zozyvuJC0iOz3TXVhKngD/UL3VooF9JuL5IvSFOB4Tn3zckIr31/tyT+ycqO HKjrpzrKsUIB6jahdkJI+lr/tbz+ViD0UB56XvpRVX8bCsTsKecj1bUzAGPJ O0L+joUEGC2x1PQEsU9uCK7c9EHS8TSXe7U7KWBP+sGfkkQCHE4NCnxyiALO fd4seQjhtfYVyM/itlCJ8aXfO77ijhOgX7nxenkuCihT0+mcRfL/EB3Mrkvo A8tfFiJTA0sgV2S9Wd2zPnB0IYor2KgEclYbsglO9wFr9pg6WakSWP78YBUL iQQ6tkVHzm6she88n6QvdpEAV9+m15C5FmrqMdstG5DBzbz1aaa2dbD447mz WYjeWNO/f8+DR+Z3PfFO3kuYnokQGg/oNK2D8s271905xwDbkbc0bVf37/si emOkXOcCMRllS+Efd3ZbYDwsWC8dvy4FvrbhmL7lyQC4s7IOLebJ8PrrIzoj AQzwVCnmqg1SfmTlQNuXiwyQLVfW2IGkz+wNXnl2mQHOmbe8/sGcAqVGVptL ES6fNkr6H6+tZ/TLu/wyXIdxrVDBezvkemtc88p4pz1Sn7/xGXSw++kNrZDo NJST+7VKW/Zg/JQpudS6JxWWboiIvcWgA5EmkyVtJD+B8uz1mSE60NrMe+cE wnm7dxZ70uggWGdggRXJ7zXheujiCB2Q+hq61iPcKyrPudpNB+m/ddwakOuv 2RPfNPcGxyli3MVvJkjuwdZPAu+c16xB9MXa+MN0LJgtX4r4T38MgEln0U39 loVwaBvHMqvhAMgteXGiAmGW52EnTxoNgFPHaYfGEV7zD+Sl/t6QYVP47/v2 g+nZ/SLhg8Wwc6in5ZhDPxBWPSGNpxRDUVrdj7oz/cD5VwZDFeHhG4cnHsv2 ovbq3/fZC8p25V23U6lB+7cnc8VVpeoCtP8EWAjWPHiYD++/su1xEmYAtZO+ rx0Ni6BNIvvDWxL/4u1EiqAVt3rWje4+UHlFPP+7YiVMUQlPtX7R99de1K2E 4SlTCk1cfYCXaydJebr63/jdC3IOWLUMVVXD34LvT71p7v3vf9uFV2v/N9LA +87VGDiZivLTT4Um6yIxjuGy5nqliHGcP3PffH8KykVPXrW138C4eSXseZYM xoMHj9X6dCaj66+c6whc8a0pKI+8YVrlu4JxdZXdXPQWjMOjase4n2HlcRrz +7IHU1E2va1+9HMQxqutvnYHpFPhdkMLAy8/ZP6liK/fJ5QCbXqkQgrCaeCB BDlTGrmeM7PeXdkQGqhlu63xBqnPN4gfkfKmIe1XunQSqY/lmMxPZ2caoMS/ fOohkgKVYir3t1vSwJA9/nNtczLc82xe20sWeX9yW9Rz3qfCV6s1bS+VET1s rHhk971U2MLvG3d7Gw1keajEvd2dCiXrXTjO6yDzfSJPVOS7VFQ/uMh2aPxA 9OIaMxuN6eyWxbjc7NVJO0QfTn6LF6jPowG64OH9Kki6jzV3q2M2DXRb/HnB iujVMLeaa1UPEP1Mdt99aXsGtIVxUtPpNPB6xOyM2Y8MVN8IkZ/3UX5iHNA5 2ER6iPHucA8frx0Z8MrKJs3byVQQvazX/74FB1Ve80dpZVBBPVca1OHAw3zR A54PsqkgfuRKRrAJHra0qj7wDaMCZSk9xzQkXbtCzWe2lALGkAFc+1IuXGd/ 79QpHAU8XBzUfILw21jjC9wVFDDEm/LZ7WUuOn7+ep02olpKQLnut/21woB8 uL/5yM6bxgzAE/NCTSuJAMUX1hvqKSD2k2fat/vXCXBQ7g5PsvBf+/Hzj3x0 PWkj9+b3wuJ4lB9V7XZWp+BQJv+5wNMVjUP1tq3j+ObVIYzJ2w1q1u/Aw9Kj G0PEEHsi/qnLaZwrHv6M+mLJyUUHAXWbzHy34mH0CeJd7x108Jne0nDLHY++ z+/NFYU8IBflTif9zPSMXPjneMGXg240oEF//G32UC58wSJVb4q0r4Qtn27c 0MyFTf/pIyroo0w23DiWj3KUX8OL3h4Cqjfms7V2RXwiwJxlzQ2ZhlQwm+7g VHAyH96kFEmMI3rgj/7LfbrW+ZD7TGNA4FEKcOlODvggkg9PB8d4b7amIHor k3VYNB8qylww//oQsZdfy++q0iuE5zOUf3Ii7FX2fB0XMh6u6Qt2y8DaTYY4 6Fcg/FlGhwpoeLmvVxE+FW3I1idGBYpdhbkP7uNga0Tzz0wJKmidhQ62CPcJ PerrtqaCh8b3LCvv4SAuvqc19hqijyre29ndxUFftraOWz5UIE9svGeG8N/x lwIehXle/tSbA/XPmdQIHaOAYftqtQd9OVDhneFgM6IfPBRaPknK5UIL9T3n iQcp4HOwV4a3TC5kMEXKglAKuMp0Yv+sWC4cHSRUjv2ggbkU2+Mzoni470D4 sx1vkf6vJTKd5ITFswTN7Hihpo9D+U1NvlV3OA4+5PTV2ptFA8Mn4miZejgI N9mVrKYg/TMhhasiDAcD1Pz6NRA2PTGhmReG+fNz4/Vtpu5inDGZkfDpMA56 JHF6psfTwHHHblNKWDZMpUpRapH+K1Hjbg9asuGI+tNvekh/P1S93D+A8LUP Dh8iEPthpPEynz4rDvUvkUHUnNlQLqpvVx6PaqqG5qL2gL2yMJt1dw7KYhtr eeykc+GPoqKdGbVUcE/zpU5YVw7MTxYMO/GYCnY3E6+mSOVC1V6HO5fzqUBC ibW1SRLztwtyenY1imPcWbffdrUtB7LsfSyTXoDoW6afRlcUcmBn+e/cp8j1 9xpGSMn+L34ooOSqHpEKfN3Lq5b8c6DNTT9/K3YqyLfqz/fQzofeebsMtglS wYx0n5HD4XzsPBiT4/bVhgT47ODmhrB2CuhmPZq32YCA6lUzhvNNwzKMcz+J bozRJcB1Im3Kzk0UsLzj9uPUoTxYup/00KKDAlphV4zFcB7av7OeKCkvm2ej 7HDc6GOQIMZh8eV1yjVZqP0fNLGH6iSMxVNVbJFc1HyCpV9+2jVnZ5UNj/pw OnhGIelTUntc6rPgr2uNLtGP6KDlm9ZTXaS8jEl1YFIAHUxKSjrR67Jgj3+f NM6JDr5uEWI1tMiGvpu62h3d6aCYTfwzA+HzDodOeXnSwHoa97XVk3goyKV2 4GEYDdg6hbe8O4W130m5TQMb7DHev93Fa56Ah6e4p5KHEHuUX+Bw9Q07PHTZ 0tqfjbSnrRl3lSNt8DBIk7n/iQfSnst5qZc+4+FRsfcXuRFmngra3Z6N2Zed Lc+D39Kw9rVH08SBppkH+Q1ko00bkPHh40ClL5I+d9ajfieOCjZeS4xa34+1 FzudxI50xTz4y/xHmnY4FWiw9zqbKeXBNiu198duYHrnb3/pBy9G7ymUxuaj HDmwweqPAsb3RhZMgtsJKN/UvCGa7EaA6i/i7pVf7weSdV+jPiH2573TTkxH /PvBo0cDvgmy+TAhVMXiZHI/oJ9vL5jxx9aHfK9rWDy3QeYX77OC970GgE6j 26FoWwKUYX5mOafdB0YPMg9s3VyGxtP3M5wYZ36VwsAtC5kdNn/P02sfKoWM uEZG+7/98O3SS+D7U/ODGVVkYBmaz0UKqoDqOw9oC2zsRfdflHpXeTm5lYyy hV+Myr5pbP+IByctMj6kY3zqxXq1C9vIKCuu77numEoCiYJXDhPYqyHPtJjw 8/ckoFDg8K2NpxpuM4i2e/qABBqEFW+EG1XDL2T1/GPiZMB+8cfnz9LVUJxS wLtVmIzu17Ftytgjop+Esjolst/XlAz0jZIN1NwQ/SjJ2vo1iQxKLkhtoF6q hjEny7Z7Jvw7v9C4GorFiwkXx/71z7zvr4LKBkUSRITntyg6ug5UQb5BXYeL CE+y2xW8X6mCEtUvbhOFetB41D8mHy/2T3SjHHa/LjLxPpb+gPJrg5IpxjfL N7ocf9cN3Ces2zen10LRIfdZINgDkvefrfB7WAtzT0LBV8PdIPSi4cy7qlrY dn0l9WR4D2gbFavtjq6FAqzadXX3ekCRa/Bh48ZaWGSRv1fTuAcUktgFpBNq YUyV1fSWuz1o/FlVklUjrx7GDx0HEqe4MN4TqMOmRutGeUqT6YhEZw9QlqF3 H56phU2Kv818REmg+RTr8Nm+WhgnYqn1RpIEzPVJeVThOhj0JIE8eoOE+uMT 5ehs0R5/18eaTtbCireizcxXSOCpbUTuvFst5C+8K6t4nYSuH11Sv3vskzUD 3PXD1YtfxcEvvlbHl48wgPcBB5crdThYFsRnrC3PAEGu5wp03ZH5S0R0XcY6 BrDTWMxO1MWj8SFxYZaM+8F4dHwLE6V56JzCocyx6qw4KIAx9xGdp6QMZL4b lXn1KRrRR+QsphgknTmYMP0FYXzC65yf1jhIKZB58uA6HeRZ7UzU3YzMp/oT 1a8j6SBaI1lmKh0HxQXmTTRu0oH+icSqDWmYHrsbwK+6PwnjzDlKWoAFxnP1 z+k5m3CQ/rndbJ8DHdwWaZ+ZR+YvT2/FszRTOtjiUvrkLaIH7FfuB74XpwNw emuHHTI+LYe/THm+lQ6ueiiPVCO8Fv/xdd/s1PuteZheN//ow5mCxcMWenxv fzKXAwcaP/4OROZrclDZC6/kHMh9dUFaKIoGrvzO8GeKz4G7ih1X+JDxd13f iNC12Rx4/ezKpT2IvcL7yp9mcYEAd4eeCOe7g9hTF2WiXGYIMHHogFPPHsQe Cj1gcUE/H86U8T2piB0AbLocYtTPJTA7IvPAq9j+/9rXOdza/sd9YPFolsmK UCX8NrHhjwgyHhkUGDf/4quGrq7WOfJ3+oBZvaOJI9L/t/y3/tQLevv2xszF VqPxlgZXi7VujlVB0z+S58+J9aH9F+cWoDikyADt5kYfvHDZ0GOefIpbm4Ho nUuSv85mQ/GKKJAuxwCE+g/pKdLZ8PohWHHmJAOErD4yas/LRtdDzsaFbEh1 xFj3uXenK5LfXeJyMY8ZA1A7Cyt/f8iGN4uYPwRoMMA4kdX7+Q4cdH30TiK9 lw7Wv/FRNxTDQbPAwLhb7xG9fXacfHIrDvUHvLhvvi9RCuPYPGP9OyUYP84k 5F25gIO/19tsj2ViAGGpZ41J23BQtf2KzNY5OrCSODteLYGDx8ZZfFWM6SDk aXQbC28ONCsV4vDUo4O9prrTg414aBBm8vz4eToYrLJpcBLMQdc7lH6/IQ0+ xcODvo33a5H0j6eV1+VcRPSVpMbQLwOk/R2YTDdoyIHRsrqvrn2kgTZvcdGt hBwIjPyij/+kgd5dimRyQQ66vnHjOFmTVIGxl7Y2nx53LmTTYuk6tZkOyqe1 mCdKc+C93dmjOpx08Mtu9oNISQ7kmxApVFWkoeeprvk3JSjMw6AlDzYNBpY4 XkT0qLzmvim3vH96G5nvG63d5Z3yYHF9UBL/LRow5g03E3mfBz3nRnX1/lCB E6+Z2Mh2AqyblTE9y00DPxmH+I8pENDri86x3KvQQtLPEJ/1ytHA9pOtph3q BNj8y3A0QooGutIun8WrEmAW25yR2akBMCpg8eKOUQk0EuIZELMZ+P/OYxkA RoevRgRHrJ3H0we4Mo/1O5ZXwYuqMs+PdiPt06ZiZKtnFWwT2W/W870P4A7t GTpLqIJ2Ub+ks5v+zscRIcj8k1/v9dCtD50v//qL+4DuXcbm00zV8OdmQq1n Ox09X/yvvqGD7CF3mvBpHMx5vMShfK8X9G0vO9y/WAq7RmfPn3XsBSPpIQOr j0ph5lRZk3t5L7A1en+371IZlDbdcNP0EXYexV992guq1Lb3aJWWof6ZWLsx 0ZnfpfCsguWRy8296Hkm9McPTd7WkEFc4qb9C1crUb3xwSQgbkquGko9/dol e6zvv/VbKFuN+r9bjcNefviSgvLGG4eyV5MxNifOB245jHECjWin+DkZ5Tds jpr6SRhLqG0RctDB2Pls13efT5i/Pf/Rnb4HCUnQrGfLkOZOKlA/62VomZEM o0QkWe6IUMENL/tBf+Nk2HZuh3wHJxW8uG3gkb2SBFnLlUw3/6IA9kd7mVsL k+DFd2bGFCVEX9aExzxLS4ZDwpPeNYAKajr5b0ccSYZmZoFpCaZUkPUu0+PE 5yT4Moy/2ecMFUT8lD8tmZgEmQlDHjKrFPD+m/bb+uIUeIVcx/SKhwosDXj6 nc1T4NByTOw5SSp4mTbUzr2QDMe2v9u/gNgrW610pzXuJsOWiiO2nxH7Z445 Lf3unmRYJzPocJJGBVNHoveefZsCHcfkt7S0UsGzuD+Ow/dSICfOr1sVyZ8w diXaViUFVp1pDcUj13NXGW2kDiZDD+Wcgx4pVNB8KanLPDwZmocE+yTcp4JH ZU9uN+9LhmrUM6UNN6jA4duQmvpEEhSS154cv0QFCurM04S4JMiDO/xkL9I/ 18n+rNe5nQq9N8euZ9jQwHkjSSYvuVR4ntrDbO9FA6SHfNZRt1KhjSsDmiLz x6NnbHKe0qnwpUxAoYgjDYjEGLHYDafCkOVC59fFNCDlO/Q5OSAVcuLtP9Y2 0gBOYLEkcmsqdNJ23pVcTQO6jnpPbtFS4dssWi8Zma8aLm0rP3EjFa42UvLO xNFAs6AMK4tUKhyfN7hGNKcD6ZLB7nVXU6F8W8XMV4jMnyymeYpbUmF5/IT7 wmk6GKFqLUV7pcJbFEu5SQ86cKqSyQgWSIUE9lKapxYdjK8r1N6rlAbdjs4u tyDj7YeWJvNfpFRUTzhvbRj9nz94jVeYJB/ierD0rcv6pyWi09B436QPEww2 RYxlCR7tm0lYPL9d+UAGMTYN5YpZpRExZYwP57ZeZiKnwvvu6iEL6gxQniUm InYqC66c8cvaeRwpv8No90a7LMjgqzwgiMxPGwPSv/f2ZEG10QBtqXsMoCZc qnDPOQu+uyIzExHOAMeJ53EGb7PgFs1DLRuuMkDvQ9+SAscszB/f7ed43Dkb 5TvMotrjshjvZfFndyVnwdCW3JsSYRTwi0c4vVEcD3/3TySNlCD28diMTq8Q HlKp+vZ68RSgMvt5VdoBj9rPEbpPfzSkY3zB5z3OwRrjgWruGwrv8Wj8pYhG vIhFFsZ7Vadfa9jiUX2lsv/d7rkmjCtJx4bir2L+rm+3giS+X8xDmTbp0GPJ nAd9RBPD12sxQPTDJPX7uvlwyvBNrzaiR4Vu7AyPM8mHquI/tym96Af+q79q dLqI8Fm8HJ96Zz+Qe7VibNdGhP+565gGwPrwqZUW60J0PajqolHeE7dC1D+W WNE3ri9HhMfqejbK3f23H2kYEf0/sejYJoHjVURop2mmq2tARc83XYtvWTGd kpu9XwjdHfsvPS1Hxoc7w8Fu2kVwr1TepU3NVHBa6ZFpbmsRnNha+3N2Ow3s /Nxs+PlQEXyXFdH9B2Fyc1nrWVoxXFdHtP0z1QtwIubq7a9L4eEomfJvYQPg UjotaEWvHO4YSzJ+LdwLPt/bkdbCqIBqgmK2F39j+72vrX9bluvxja9UQj5e Ztdnj/rReDmHKr32t30YHx/LqzK/3Q8aW2nWKgOV0CZq2/MIxJ7zeXTOaZtH NXxcn09tEiID+bh2p103q2Ha+PFfoaaYvZdkX3xxu+nf80TSrlXDhIgNldmC ZCBzrJPfi1QNf2+xHDiyhQxcc104HZ5Ww1YLI7eXW8kgJqEm+lRNDdTMyjdv UiSD636PaBclaqFt2gZjLYMe0PrnCSfvWC2cC+YKex7aA7hP3dDIRvjgM155 hyM9oFGpk5/CUwfFtNVF6jsx+8ngpk2fY+jf/fmv/6yFd6SVPSY6MP4gJuev odMDvEfUntg4IfbYDnrktcM9wDixI79fqQ5+2hRxIjOkBwDT7FNjdnXofNua I6oEc2shvmVpF2d1L2o/PhxvOxwyg3E/q/4D3fxeUDfxm6s8phaN596tsNzu XZiMclmjwZv2ExjvNUv4KPknCeWasbFlH2ISHN9/+7kfoi/62s+c91hNgmrn eSwUn9CBjlFJ9xVk/ovJGRHbTaYDQoBZtDKS3vYzDBaO0MGGvqtjgkh5ZoX6 sNhyOnDpcfzaUpQMfYYyZ1yb6GCCEx/4Grm/QpXh6BInA5zrYL6e8isJJm0h 68nKMIB6Cu/2OGIytHDLUnfkZwAXdSnnRYtkWHrRe30NCwOMcjSZfUDyi550 Hbb9TgcCMx3GMQVJ2HrOdTVr7QvpKGu77pOPZcO43kZjZSI3DWXVYwe6NY9g rL6utWQpIQPl+aeNR/2VMa7wqZ5Y7EiHavrcHXmfqMBEf3ispycdihuUR5my 04BbyaW7CZ3pkLDv9nDIKBVQVFmzVNMy4E/xwr3x81Tgxlmx+8beDLhc+L0u 5igNTO5JczeJyYDOAntnN++nAUV9Y/8ahQzYsD+gmwXpnw6cJ94Et6Wj/v89 8sNqapHZKDt/uqladAxbH7DXy7pcxYnxiawX+U/bs2FzeKjV0510IJ6rEzYS lQ0/K6tGbUX0+LaMp94/kOu1S9d+2ISkJ9WOKZaaZsPC3lRF2TgqCFBo69UJ xUHng8s53jGInjo0wW7+f+IHckUdjNxfr9nTVDD9/MweToT/zmdUEBglw/EO 4euDZXbLyPjfWZh3Xkck9994QQFZfCezQ0Ww9Xy2pV2GF0Rz/41vFNDhlhx9 SQyLB5/c5VZzUaAAZQLbqb31sQXw5glrhtmBAZDl1s0mklgAb5+8+OY5wrj7 Xw/+SSiAKfdSauP8BsAtOe34iagCOGRrrTfgNQAMjzgxDT4oQP1xJ55PJd+I KkSZ8+et8krVItj/mOuE4KF+4CkPNWtNiqANC//Yw4f94OiHiEkbmSJ0/y+8 yPjZn8j4ZlNbGr3pTC863o3omz7gd0Hs1x8RbexMVVCf8bwxdYgGTp8773bK NxXObK0Q29yN6JefSkN3xVPh8pX+W8xTiN7JO6ZCvI7M75v6X80t0sAZ33t0 vEgqnOtsFuym0oA375S9AiUVXjvxosuDTgNzt0dKiiOy4enAtkvDSPqO0R8h z4yz4UT0/AOHzzRw+fgmpcj72TBzyfVKWQ0d6F1fvDFAzYQHgX9WH9LfGfyq KvtcM+HSAwF85VM6MDgS5Tm9lAFfbv0UWIbYr9k5O67wDmbCIJEn50ZJdDAn xU56geRPi+3bH4fMR1w6HIUAaa8+WiN6igkM8CU3lXk4MwP6HPe/sTeYAY4d 2CglrJIBW/XzbRsuM4DYXd0byq/ToUYnUVImmQFo7P2aEXOZsOF6O631DmIf r2o/1LiRCaf8jFU+OjGAZ+/y2/XTmfCd0eY6jesM8Goq994N/0x4PyF5+x7k /rL1IZuHubD/UdyMmzrupGD/s/CzGxEFFTNQvcL4LV9hzJqJ8kguTuVrIpau G58a14b0x7XxUf/xs18cr7KgVMEC+8mhf/HFW7PR+AJTOXH9czYYa1yUrh4T w3hKMnPQvykLHU9GKz4DJtUclDVyjMYcaRg/5rkr0x2aA6dNJD0bRBG9W7/E 5YrkN/A//+LgPhqip54fHJnEo3rCHcdr5B6ah/LFLKbUolMEbD1O/kGv7Uwe xNPqiH7mVDAQyAS/ReRB83EuwSodKtjlCYZDwvKg6iWZvZPOiD2ym34jVj4P uvnP0FV2I/0pz15ed2sBBD6yLk8lB4BjvZC3Q3E+PO5PTCfoDwDp8usah4UK 4E6XwGGPwAHwbQ9VmoW7AOK/7VjCuQ8AeZbDig2bCtB4m3jyjUecCfnQq2PF 7qsvBYg5ZN2+mYKwk1RE6zkKKN2oOv4FSV/dVL4azTYAQiLMTQV2EmGG4Ul5 c2kKOHFey3SXChH6twriuwT7QRBfaSFYKYYUoUuvlbf0A1VC4uWF5WK4Yyhr QtkD8187Waf36Z/tBSsp8MTk+UqYburf/eViLwhXyardu6sS3kq8LL3s0wuq NzZvWDddAaub+LL4vHqB8Aupe1rMlZDVquR6YSamRz48OCoJTmPx/62NpG+D VmSwr0p9XeXmGhj8ZfSIvgsZSBjBdYsBNXCpgbA7+QwZLK+kec7a1sDuq+xJ HxD9kj67iVuDqwYy8Rm1dCDM4e9ZHytZA5+VCulEiP47b/JBDfyveSJ6htUv Jex7WQ3UaAp86ytPAsG8aqSks3WwwyFUW1maBHKVZCW4d67t70ACp/kFCl6L 1UGiglQDRwgJ1SfiA4mS0rux/wvafaIME3nJYHOTgfLQhrp/epYMdK+neWaT a+FQ3+SRnVxktPxafeaik45W76iDzriGzV51dACJbtFE62xoxPf86+Q7KiAI yfW1KubAyJfOWvT/zYfdS78+juGh1oTH0hAvDWySiT2L25sD/0QELdM4qEBH VbJ43+08yO2V0jnBTwXKP8RFIoPzoL10P9H5Zz+w2CWiuDpeDI/EV/4YRtqH GEdNTOinYnQ/HCOuR6YffhfDbLmFUqLov/MYkPbxO1+24Y3tAKhZMIwSXVcM g4OUTJ8s9IJ6pH3sUa2Cah+yRRKm2//6X5yS4WBLQ9v5Roz13F/MEj0ZwPZb xSl6fBoM9d+c/iGMAeS6GzPuJKTBBgFF7iBnBmiaLFoMPp0Oj86ps3T7MMDi obL62cU0+HDl6+lvC3TQ/tkt7tvvDCjaqp+mLcQAS43iN22YMqHF+cyGI7N0 IKziQ/qKjLfdnl4T1xD9YzCuenjj5UzUHynkXfck9R3GSqfa7Uw8M1H/3rlY 8y/PEXt3jSvVeZWdEXu3RS6UNO/UC3h5v3/X8KiEUk/2/Ggf6wVtFionNHmr oU5EHy4EeR9r/qc1/yu3copHCnM1ai/VduTqRoRh8ahjv2UyAlmw9eN5ha+k 8lfZcNNHtQWKPQ3cwcVV2B3LhndoRbe9gmnA09uSfu9/68kuLbVRJWQQVBzB Gm1UB8mC94l+F6mgLmzugCUnHibjpJW6b/3P3/Ex5ikHHsqz/QoPu0AFp3rG fsuaYvGmwSTvRIIJHpYPFAVtRMpP7Tz+lpKAh1tOK9z4iZRfH6CQ+vj/xKOu eBzc8KAFh/JOLZp5tQmW/lWu+Zoacr+Z37V39OhUMGJwG6eUhIf7shd4kl5Q wbzxWIVvIh4mOt+ACblUkGyZuF0DyT9yvLj6/hMqCPr5NUccYR2nMWYDHBXc 7nWsvm2C1XdjqQKT064clOnD8fEmfjmwoXXrvq5LiP2ncMw/dxgPk9S+rbKk IPYd3TxsFMnP+S7S4mkkFRz5/ZJ2DuEOWamgpGAKoO6vap9rxvTUQStK1+zL XHh4yfKjXxAFeP4UjxsSz4OnbXAFukkUcHmEQv6/8bPaCZ/GH7jnonxK7coL V6T8g7D5PUWzFHAodziVQyIPasZlHz9EpQD7FrakUaR8/EYv3oYGxJ7f39K3 7yV2/4FtuzQe+ueh/MOU6ho5mAcXPsw9O15NAWfYukoEA7D4XG1yj7e5RD50 f/Oj5lr6AOj2drPu2JYPizekNE/mDQB+kw9kS8l8+OLQC4FbrwZAXSplnCiW D126fl+0ezwAxjgLv/JuzYcH8z5F+qUg1zvsto8akw89ovzaOvMHgMs92rFj j7D438nGuHg+kXwYVBg2tn91AMTUtxQlRuXDz22ciwfnB0Bmz5YxW4R/6jgO ZQwMgOS3p0MtRfOht9ohUfzYAFC1F3cCSPmGPZdKLZ3IIIFhQxxFxt8Z0vHZ gtvI+Ox+7C27Yx2cGNXy8blLBtc+3I0861AH3Q2Wp7T6qcDvuPysEdL+jsT+ TtEiUgFezlccj/D3wgNyktMUcNvs6Tlr5HsI2FyWcn6LzJc62lsMEL6s+PL3 0jMKKJ7I5KlCOMiX3W+mkwK2bHz65zbCa/F6BzRe7lEhEqBAz7v+BzsQe3l/ rVGpZh0aLyhtZXRy4XcRfNJv3R2l1g/K3fF3DHiK0fLuJHaygXA+tFKtvqTL QwHc8SLNX4Ty4axzfSd+KwVIDW36MYnw7l06CfcPUIBqqdPhEST/6dM1xkUK CH/CMdsiDGfdNmjzUsBHy9rmjQ/yYfZ3PoNpMQpgUrEUakf4c4LscZPof/tH 04mQqlLQwfuAAf7cJovLFhIhQ+jXtlaEj/1Mp6TUEWHJl3LBL0j+wyxKd4a5 C+GZDbwZ7xE2ndYJfvoNSVcqyOkc6APpN20KOWQqoe1Vqc3clX0ghWcff65N JYw1+mjpONQLmoaEzYKJ1dDKguvm6wYakAnw9V7XnALlChpiS4tpoENMUjTt Ygq8FMgxsjmOBjolLBJtXqfArD+Ttbk5NCAofOTqCfcU2HPc+NK3KhrIYKTE t/ClQLYMZ165VzTwrMdvquVxMurPAROyoyMhOChceTjQPowKbHa+my9FxqO1 9DOxxGtvEeZbaB9eSqOA97rnVZSR/rXm3yLzEjiUEHbdfu7caN0AyNlRWVT6 MB/dn0x0sdblOPI+JakNZ6Jv/z2f2G4/Ea4n3pa6NEoD3z6fqa5cj4NRS4Hr Ft/TwOD1hD0/EE5dXl/euoKM51187CaIvfh452OrdMQe4TAMoosb4uBqCjVR W4IOOHV7eey5cHD/5vBIAXU6GO2Vn75tioMmzTngoDgd5Do+phxG0qt9s6+4 stJBuiWbah9yvSHeawddEHvkk+zXiyVkHPSOsdNZj/ClV0VgKBIHizq8ny3M 0kDszDY5kX7Mfu2wbgnjuoBH/7cxdWTJvFCKMfeI/vpLZ/HQwMq7UB+xZ495 N3NnP8LBsK5n+1J20IGITdc7p1gcDJw9t41tEx1YfizLGKfg0Plwbu+9Swlv kP7WnRl4+RsV/JqdjWy8lQPbhPvFA1ep4Io73v/37Rz4/HxnjyeiX7jNvSda yDmQI/OKUyWiv7safrNbhuXA3mvuIzOmNPDF88+e/pEcCNp6D3gq0QDlrSs1 +V4O3PKuql5NggqMIt4ZMU0j+lr88bLZEjL+dvSYWZgQIE8Hl/AmKyq4sHEO xzOfB8fLK5JTtKjgrlIXKfFLHuwhXmTiQfSQuN+CFKmZAFfjn5feFqSC06Gi Nk6tBLjBu9Tvzu6/5/3VSueh8W/19Az35e2IPRBwhWZ3ngoSBFQrmVwI8B3u roeINhXY2acuDvQR0PWRC489JMpHCWj5jW9XRmzPEGBOQ2Va324K0HpzPnMK aW+2Ix9l/xhSgJnLE80xZHydVdL5+PwUBXyKo0OF+Hz4NTfh2qgFDQg4zMjb I/O/wu4HluruNNBm2jSSjPD7BiufkBM0cMx8344v63DwxFHxfINwGoCPa63F WrJhOA7QrcJoIPxVTL4gKw76kt/9hp40UEYzCf6fnviwu5Xf2ZYGfg6OvNpx GAdfHWl4Ou5MA1pKVx57IVwUnTNTc4UKWioMFex8c2CxSvUJrWQqaJXyJgv4 58BXGcXlj5F0G0ULprLWHGhbeIErOoAKrNq4GMfacqCRlBL3QCgFXLMz3NTw Jg/aac84r4+hgAXlCKNFhOdrdj4llVCAmzDhp97bPPgNvyv2Gp4C7rSRpZuQ +c3QpbtPLIIC3o6qpwjoEODLD9bms1EUACrjHO0QXlu/DC/+ym3xEQ9fmAlT hSxpYOb9/PAJzRy43lr0iuYlGqjhXy0OOJgDSYom3hcQPbXiU6n3OBsPOzvt 3kQh71dp76SCL1J+Te8eK+0p8pAqQOPJKUw8iRdy82GvmtOL3pskUPyhg8TE qIUvr2boxAaTwLPrukHrvtbCP+p7j64g+tW0lKVH9Es2ZDOaiv0QwQBspSJS pqo4SCt9tJh2hQE+k2aXhD9h+29ZsUo85NqDQ+1l6WueeSQPjD2yv5dtlMdB 81lmYZOXNMASyV5ucjQHPrkrdm2JSAMHD5rSTush32eSlDPaRAPlpsFDCRk5 cOPH/i1MkTSg1lGZibQ++KlX7EQpgQb4hQ559R3JQd/faugt6Q9If7PtE/Gc Q7hW45zyAsLJDjVO3Fp9YEeQ+iq/ZjXEA6uvd3b3AaG55NqYY9WoXn4xY3Kv xCoL5U+zxhwqv3AoZ7B1h/NU4mCjFchq3fRv/6xSbPzYLRbnIyWDh7n8x/Kf /GlH/xf6q5fbwfX1f77G45L+6al2cK9ZTvsjZzK0fKszXjDVjv4PZP7Wpm+m rxP0qobr0TakwaK7i78b6jtBte3JVmJzKhxrfLb/o1kXYEzmDr87mw7V8/ml 6vZ3ARWw7nLR1nQY/siVM1SiC0Qknlm5Rk+Dg/6N82ZsXWD0c0OEdlwa3OO8 eWjrTCfQ0BMV3mCSBnuu0zguHOj67/6D31KghqO95Rgbxn/3B+gEnoks3m5v U1HWHTMxCDTDeIh6/AJ8jeU/n/ztgzvA+LNNkksSMv/9WW+9vyWzA/gU3B3S VkiHIb/qt/M87gBn3mnGqr5Kg/zyi3Ed0x3g7vnQgz3G6fAkvmTbF3IHUDth 33R3Qzr6P3TMl5fbdPXS4G/Fhc7Bqn//Z1HS4KK2Ljc9AmO5j2J2CY4Y78v5 LHr2TTs40TUj1ZGbCud8ev2FV9rBfOzFCxrtqdBa3HPH3oa/5yPX+qRDSpp9 qNdDjNeeZ1JtnOXyShrKsr2HVQ0uYuz0/KH1F5kMlNXzzm9zf5AOA//zV3YB h+A6g7GqVJTjfEfdPuxJha8+2kqsNnf99//NUbU0eOAWxe/XQ4wr+M36l20w vq1d2JW7A+OeUzJBl350orx2/YCvlpMnEjNRDpe9My/OnAmV7+GY3WDXf+sX snUZUPn9mWzBzf+HdSXAy/FOlOfKWvd8yMbS61ftV5g9Mf50Vc+t15yKtp81 f5P/npziQ9xpKF+/9r23qiIVZe+nej/lT2J8ZV2SePYyVl6setcJHB7jkMiz xAUjjD+dTV09Np8MExbPPc/zp4KTWzkTvUbSofDz9AExVyoIfy7UIHIrHWY/ idcwe0gFnnIBLu8H0+E+9qnXpkh6kPC0dW5xBhwbZCd63UD02f5I38jDGVB+ 0svbOKsb1JjHHLU9hIx3f2RHtGq7AXtfyztZ8Wzo8cas7kp6N7izJX/K42sW /Fh9MzrnTjdYDH/JHV+YBS9EF7jQXLuBx8rQ3nrnLDjmNgC4TLvB+8tL1sPi WXCbP3PTBskeoJRs0chbnA15HvtMDrD2gEEFnY8C4dnw18I0D+5jNwh7riQk ci4bflR32HeZ3A1ULSWObIXZ0FK1iWvH67/njcUuZkJt/dMZLEkYy9ssK466 YLx2vsX0Rx6h0+8xtia08PFZYfzK6ebGlpYMlP3idrBC9myUz0zun+Tzy4LF 4t+d+v90o9f3rn6dRWjF+K9e7QbPo8slTohlo8z+1Jd8rDgL5YcnHzrPSmF8 V85EazoVK68C8h1MBTMhE1mHOZP49zzu2sZseLlwa6GwH8aDoUsWcfoYr5Vf Of92R3Qhxjk/ZFg/nsXYfiw1RF8bh7J72zM3/u/Z8Pl/7asHpK9uE1zHh/F3 tWyBlrQslMsvra7eFcyCIgSvWc2EHtQfTFPY/MzZDuOg+9HXFaUxjisK+/n2 UzfKa9cbMfBie9KIQ7miOc1O2hsHFxN+9c2z96DxPksueR/7+7tRvslbOHLT C0tPZbogtU6r5/+LD6KCZkXb03eyMlCO2XShU08TY4WfOz3r12ei9gjpsah9 Uk4Gyl+jPundO5SB+itOfBUN5C/A+IlHiMtu3Qw0HlNj3PLVeWomyiwbbG/Z X8iECwp7T99M/7t+KvsH0fsaX6quumDMc6SQ020vxmvnlW+cq9wnsITxZpV0 92vlGItcvZs94IIx8e39/nPReJTv1Ikc2XYEDy80fIIZwhRwf6Ijq0ARD7U+ lG4/vpcC1GJZt3fI46FaRfacGpKevL/xnY8XHo2vfC//3MeehIP1/cETlEAS 4AhnvCrmzYPEt5on6hxJgCRzPaBsKhemTHx9mXyYBOKfb1aubMqF4V+IKgFy JGBrVzZRnZwLXYZvGhUukMBE+OtvabV58PLH6nZzOglMzrmHz0blQe+FGcOl ehKYPsUncdg5D/qt296WnUYCn5pqqxI186Bs5zOK1DgJ3Z+oOuCWiVQ+xmv+ Xr+mAeuFXxjrRe7S0idivCH/eoiuNcayKeGZ9ey5cOg98/RwAAmNxzNn6f3I OILxWn790EfaQUSMT4+8kQiwwNiJbb445DQB5ffFX2uW1xFQf3LqMWNL4T+5 KM/OzBxsKM6Fqv5ifxZVyKg9I6udVSK0GeNdCn751z6QUM7/8l7jXBHGa9fb VT4Uv7WOAEGn57vWJdLfeLVzBFj9+PAJvSaM2W/mvHwuRka5jUWpS7mmHxzG 9RDWT+ZBea5G5+a3/YB1qV/qTX8eFGNQvaOr+wEQEWvT0yVAmqr2/qc4MqBu X+DMuZUPd45fM16KJgPxxSWTIZN86B9b5LQ/iAycOn7HCknkwyqZZe0SBhmw qF8rPiZSAMXEv16oe00G7K5+KhoT+TBEYOrhiyoy4Ey7WStbkQ9P1fTeG5X5 G+8wyJoPlS7hI3nZMP6v+x0gg5s5zQcOvCCgzDfVE7X7PMZuZNuroUFYfhHt Y9IOSH24x3wufO/Hrve3v5JBWeA4T74dxgJ+QS2/fhFQFt9xYfYQHvueG+dG 2DruEFEm2ghPzvITodvivpmVYRK6n5PzV/9yn3yMAyT5RK/tIqNslvxiTHsj xh+DDhy8hPsXb6JfAI/3xJgfCsR4rT6Q8uWbsyTGQqt6+x4/xeqv6PN6k+S9 AnS/BeEYvqvjD/JRXgpRUBJRyodmfJT8fs6//u/YvHy4z7hQZdsoGeWrdHZ1 x8cYr5XvmA2NviVPhO32uU+032D1n6VlzwVXYqy34bZ7AGsvymvxQuN6Rc2s 2wgo3yusFxK6RcD2v9VPMnXbTYAl6lqW6d/7QausUu2lEAI89d/41A/wTxzz UpMxHuNy+j2pSUD37+F5zbTr0DPM3vcozfsU+yMfyjFpSP2+QEX/R7TnPVn0 wYQBMsndKw1XC1B7j+ExqrwltwA+O9coddTu33m5iQVwt7DWcnQ2GUzS6hMN /xBhAKlkk8ADMsiIlB5+1U6Erfe2bU/2JwMLELldJ54If/tQk7qGyeCHili/ RmEhJB7m98hsJwPbbwTXjZ6F8CSf2RHPajJ4Xrl3dUS9EPIX9Yc2i5PR+Ki1 9nvlzMW7RaIYV3Xd+T76C+PUYjtF3ggiDHmbJsPXhpVfaw/Od2M3KJAwJotS 79mfxljb2rFq/2wBrGSuv9B4rxfcMsssyv5OhC5qeTfPe/QCvZIBtVcVRMhs lErseNILtCxmk5JCCmGg50RJVVYvMD7wRkhZsxCedfh1gyjei96/riLH//4c Vp+/9mYvWJIhsvZ6Y2wpLjbVy4pxcTGb++4pIgw25foc2IBdby1e17OG49zF Tozrr5/TuXuSCDfvzBQhFP8b39oLYbB4iIFhOMZrz/tnPXvG2ecYP97Vuavl CMbD2a8GUmER2t4XcUZa4dyFKE+UyIu8TSZC3711LEf+/S/0v3g1t68ywgOj ZJTtbvp1dj7GeK18ePUqrimyCJ752XBDv/PfeqdbEbwQO+8WId2LMsfWMYLQ Dyz99P0j9OWkXvR5np2LsFc/g/Ha+3iBYxG92YLxHpX0ncf1MJ7kMhdJMilC 46+yJvxSf/YRYWilGOejaex5TPifSpHzMV6ZwnPM9PcBD1nxH+9Yi2DYNgO5 +k99INQihfRsphBOewuLxPNQwdTlWsFZGhH2cOgmExBmZG4qW0dHvk+0l6cV kYI+z13migGpESzeT+sIJWaKRAW1UWZ8uexIfex8ub/0UIGmd0O8CHsh7Fbl VLe3pYL9bSXqt44Wwi3PnKdpQ7T/L16QBmCxQQPbQSLUDNj/9rYiHW0/a/5W pe6PcaobidB1d63FCh8NfX9r8QguGzu6okYKUf/L61GruV3zRJi8OsBPdcbu Nx2vZer9jI7ymr/krq+JqmoDEeo4Pz5TbIalu2l89hnGk4GU2Zd+//BiyPSx K4kPGT9aBqxDU4yLYWJacf0RXzJwtXmhVs9bDL1nPd787CWDFUGxq1SOEvh2 6wN8VT0Z7F2REFBuLYYwS3G+7hUZ3Z98rf3yKwyWCp7EuE23QpPUWgTvfxhI 4IrpBbQCvy0dccXQrGu9E8G7FygO9AVyHy6GZ0a32rT194INfic7thwrgX1v ZZoaKnrB+vausvjPxfBRrcrds+K96P0cpJf36n/B7r/Wf2PXnWQ4fS1C2Sjy EE9hWDH0cDmR6NWBlUf7c/FwYPNNjH2VNV9ajxbBw+IL17OSyej/B2vP0+LG t9Qygz2f0FX1pocPStD+lb/h6SE1YaS+brfYE0V6/86fRcXwSdvowdKPZJR5 d3iDpSaMa/SrX7BE9aL3W6vP4AtJGCaHcS3v8UqddyVo/+EzFf08n1QMt1RR xLs7sfut/f/zlVKYiMsuQvd/lwiVt2dxL4KEXfPKrEYU9H2s7SeZ2+Rt57mE fK9Bm028SxT0enuYqDFbPlCADfg1EC1fDK9PmFQo3sDSN21gbJKdoIHzOink EKdiyNlGDL0pQQclol7vWf8Uo+27+0lJxRGXEmjtLiQg+ZYOXOHH2HV3iyGX WlPi/AYGIAgYNskwlcA/Pfr8K4t0tH5r8UGRQeKrikbF2PpFAp8fe0QJ2v4v hbUqTl8thgpbjTf3qNDR+q2VT7Fe987ErQT1P5bGK2WmFxTDxpehx2dkGGj+ tfR0PjlNjaOl8IHa+IQEG+O//SJrZ0og7lFLnIERxmvxaVzEYUOFgDKYcCz8 xTV17P+Nd/seZHL4YJw8OqZcn/83HuLyg1L0+wor6/dI1JZC5YRTtTrH+gBX lvD2u99K0P9TNqW0A5VXJdAqmklD1IUCwmHQs9D4MvT7nXT7CY1Uy9H9RV6H tAmqCZTBa953k277U9D7r6UH2kvLa9mWQ+8o85e9Dyjo/p3F8l2zxUNU8C1L Mj0lrhRauMR7XtpAA/qpNdR1HGWQ3/q+naUiMl6d7KoU9yqDUSZ6nVq7aOjz rH3vh/Ynv9nQS2FKlvP4qzEaOCp7ImlwqBR+IHgGbmSjgx+7zW+vO1gGNZa8 NYAMHXgU70ucf1iGfl8b5qVPpPulkPjm0JQwPw39f2bt+udJU9KwpQwdL4uM fLauZy2DSWwXX2wLp6HP+8SH9WT7EYzX8psRZj6Nw3K49HlgJ0GMhj5//EPq 0j1rjF12kvj4ntLBr7PpFwRKSiH3pF6BMYMOThsA8lamMhi3bc517AcdpJE5 s7JNyuCMVdojd14GCPksEX8nqQzWuVANNTkZ6PtZa49KZV6XuRkYjwxd0bu7 txSy8Lz8cZOEPe/a+/hkHOjIYoRxYm6EzJmZMrT9v9wcJG6VVwrD6g/yXTWi o8/rdO0DUwUnxtenDqYcOobVZ01/any+bXfFHuPbxVRKy+dSuFfYoms/Mt+s 1Wetvh7nSltZL2LcQ1nsyZvBmDY5cp5nbznan2Z+8S06vy+FdzJ2trzUZaD1 UdwmQr3OhvHf/cD6QOIjJ54pi3JUr6cJ7Prhnl2O7j8ls5XDa+BeBcze1ul7 L3Xg7/5Y/hUw88f2t3W8VBDVsPxJuaocztx+ltCiTAU2RxVa1EfK4fqj31M5 jlPBwvfYL+zsFfCrj8GpF0X/+kd4Oboe7JTLH/HjajlU37mDpKhIRdPX/KMT 82qaKZFYfxPcsvSFJb4Cme/UxHVPUtD62LXl6+yKxri7Lljhzirlrz24swKL J3x2KCLqA3b9US72rB37KlB7YjSxh/AtuhyW3wndef7Kv/Mr6eXQuPndwLA6 xmv528Vek0orKqDvh99GoUpU9P6JoayNZmcxLmiQd+GPx1jQ27woZZAG0jit NEII5VDGIlb6yDwNzPA+0WFpLYfBHMLiZA46iHoZP7g0gbwvy4YzPJJ0YM5r s0eOpQLaZjjmGKvRwRaHrbcstlXA8vfnUgctaej7Q/fn2THoPwkxnn5TPR70 f9LhUmzXibZyWPpsQvDMHjpafq39bzeWi7Spx3g6fXXrRm2MD+y/MO8fVA59 zJgvELpo6PsuN1gQ6v6F8Vr+eYvioPY5rLzQkefg9HYsfXq470G/VQXa32qK B6wHK8ohZehWfOpROvb+uxSWjwlh3DiMt1E1GABxI3zrd7NUQrkxH8jrOgDm 15OcjytXQu1b06PUewPgTHcYR4xtJTy6831/xsWBv/ZvewUajy17hsXq22QF /Hxh9t7jtH4QHEs09SVWQib+waNt3v2A6VTbtcyrlVDoePrT2dp+MOWiOXYj qBLOujNSf/FTgOzMgNfSmwpI+JBXS1KiAPdPFZFKzJUw/LWJhSOiBxzZrr8s 3F4J8x1dfbPPUhD73tVmUb8Svl4OTh8NoADSgt2cnmslnGDwq80UYvVbi4+Y lo70uBaL8f/j6szjuXq+x48kS4QWSpEtoaSSomXGFkV2SchWlrIrRZaSLUvZ sq8vvOw7rxeFlKXs22tFtCBKJGUJ9bvvz/vt3u/j9+fzce7cOzP3zplz5s6c U+5mw1A2XwHZSkNsJozJ6PUb8xU/00uhl1MYG45Jz1knVMBixf64Xyok9PzL RvvJP26zmmtinBsiyM6Jq0T1QXjSUyvm7xVQ1pRXtKmShO5HBbssTWbvYrxx fcon63K/T5Xw3hmlzXE+JHQ/OU2nKVqzDGMKP3Fqxw8yOHLafjW8owLGOQzy r7NSQP++3ycZv1RA/edzGhNCFODBEHHbk60Sfr3HfzIXGY+VJA6aoUQlPG/2 vlnoIjK+djJev61SCXEgXzf5GgWwGC/OxVpUQpLq9rNckVj/bOifR+uA/+gT jC2OOlr5UTBe1V9wXuGvhLb5seq9BhS0/Ib+uA1+j678xljN1SFgxBdjklpN 51hjBfw48PcAZTcZ7e+N99H12+GpwDGMQzJqZNLuYCzOwHZLproS1X8/O986 27+vgPKplgZBQWS0v70ZImoOEjBOyfu5KdIA443yR0+HHZ+gV8I0h/vUUAcy 2v+D26Nddz7DeFTNoX49AGvvxvp5tZnBjFkOxvU/Yl+/HcE41jxtjIe3Eo7h dmSoMFDQ9nbzsJBLpTHe6J9isSCzt8cxdnt6S4P1/8hHHv40P5xaierb3Xv0 rfu/It/zVEnHaWcK2r50/pwHtskYJ4hfiTJRwnijPMfb55tNxiuhVpLo3fzT FLS9XENckmM2GBeJOp33CMeYvfkdfcBkALgf9pyK6K+EYpul1CQdB1D5hv24 FBK7be9rZPwKz7Vl8/6b/5uBowr1DwoDFdg2s1TB1RcPbq/LkoBbqvvV3Qeq YEQl6yvDiySwtt3n0qRGFYxOe/RcwpoETOdPLqc5VMGbRw6Kqt4jgUm3YtPV kCqo8qor3PIJUv7H/pdX8FUwSIz92gwde97Gett2/anlzHUs35S9JmXfVZ0q mOQzR+/zJKHXb4z34XVYOC6PceyNibTXc9j5uC0rKxmKx6uhqdfv16oZg+j+ 2oHWbQX2PRhXXPcs8cJj99/QV3c4hAoFyZUoWyQwPvHYicnT3SST7ulVQa/w z8945Ej/+vdFWH3Ubiqc3uaFsXpDEcmSiPH+zoS5X/NVqP5ZZ3544CPSv7sk mZWlEPvlf/vJTKtg39eZ7OxWjHlfB+fudsJ4ozzxYT1bNlc1yvY3H71fU6qG lXn5TV33SGh7G/cZ6R/KxJin7XnDszaMt6bvjTz3gIz2h7+RakxPPsYb+mZf wufQytZKlM0pZ/KlVzDer6/Yqi2FXf/98tqS3NUqdHzrenIZ4sSqIZNdz7vL V8jo8+/DEWff+xjTayj579MwJs3fFDW8RcHqd7Yipz8K443x7WQ+o7KvpxLl B22aSoRljM8dtpjtFMauXzQ/cbrxQhVMeJGpH2k7CC5fyJFaiKmGJ06Gnsn2 GQSs54px6hXVkHr+57E/0YNAibnGPKWnGnpftpQ0yRsE3h0N/HNfq6Hml54l jt2DwDjIVP7RwWooys7aOhU/iMa/2TjvBAJfhPuGYnws6n1fgGr1f/8HB8Bo Rq/NPvUalGm9y6szETWwX9zr5nD0AJa//KVuSVwLxsfI6nyCCxivbaHYeB0m gctpUsxV1tWQI1fVMwIi4zNHamLcpxruUa4KzTAgAc9iqbZdCdVw+ntNn/gN Esgbdm6UKKuGq4q3Bs4i4++Itfr5rLZqyBm0n2QUgnxvU0I9e0arYVXSF2vj Zqx9aP6LL27hCkIYj0SbJXiaYTyNbzJKjK+G6cY3zPbcIKHlp9zu1ePDMN4Y L9EHBGxjrmH8ec1RujgaY+bwtBxFyWqYfPm4XrPhIBr/eaN/NZvuxCe9xTis d1gvZXMNqi88mcJv3PGohriDONGvNYPoeROz1KAWp1GMGSXL51+HY7xR/pl2 OC7rMnY/M1c1s91hNTBR6nuSl8sg+j7O1m0KZ36G8VNO/HpGHcajn0094TuM I8MvnRctw/pjQ//km5uNEMQwvg/7h0sMMT4j8BKcD6iGen7BU99OkdD+2Oiv dDyxyeY1xgPd6a/Ef2AsEK/9IUCoBtUnzuNmA/3uiH7hYFqpiieh7aemOLBM 12KsKv9G6K4HxhvlXz+N/GOhh93PQZk0KeBdAzsfGBr4WJPQ9p5f4GPbHYAx 3SNLF2ZhvEfP12TmJcbbk+aq633JaP88oYmGmqZjvKF/FkIkor6wYHyOProv TQbjoz6tfG+NMG4O3LL16v1qVF8d+vZOuEcXi9d69sBj8Vj3GvgikPrA24CM 1oflTwx+lyvGH/ep7L4ZgbEkLNweko+xrmO6XdPxPrBn9knX8EkCjHNrrpg4 04fGc9rbPynzQLcfGIwwD5pI1kDH3RakZbkB8ECkVuAg8nyO0fQWVvkBYBPV vbbcjMjTqvPE+QcAs6D922/JNbAshbVoc0s/SIgj65HsCfBg0tKns9n94KlG 0FLvaQIc6RWm4d/3gw+5aavtgADVMunL2VMD6PmnjfyMq5eC1xfuYNzPUNqY UoXpp5rub3+UAggoH7jqyLG/jgB7vN1xq8lYvvCWazxMGk0Yh3ZaBnB+wtji T78FQQSxx8HARZNnNTD6qdGrsaMkUOHb9US6sAa27KeLsCmRwJsXbQPrjTVw scIs8Jgu4u+vNO3qG0Texz3R+PJrJCAXyM5P/FwDbfZ/y33kSAIPP9orVf1G +ustoeayNwn0wDc3yzgJsNLlQatkKPK9Z4jHFe0nwDHx9Z3abwbR9m/oq2UW EQVjW4zpdkdqDsZjHMvLUfUR6f8PfDKH+m6Q0PIS1uf7mh9hvDG+Vmd91/9k YvzSgvFPfzvGrU9GFbm1MOZoo+mx3sX0yzHV0y0mqQSUxd+X8Z5oI0B9hTcC WwKwfOQzKhnl3hkYf7/bTuKrx1gnj+/KVRrGttsUQzWysPri1DtGrzdivKFf Zhl5ny8ZYPzkPsm1whvjeaHvRb6ZGP96G3rOqrUGvmUY8jtziITm9/xo1ZbC roHxRnu9bvG7lsxj7beT2dcSzY/JsxrlwqvOYfzAPfsj1YaA6pdeJ5PsgSxM 3/iYW6fEvkX0TXeW48N0Eprv59FZ5huHnmP8TdC1+s8NjPm37Sy/GYDxxv1u CxrHPcvEnjfUUPjE7TUBUnLKvz2/huVTf7S+Wdn5Hsayl03jhWMw3vkXjCoU YbyrhlterwXjv7tTc/0ektH+ZxeAe3VTMd7QVyl7tw9YX8KYIyrRv90J449+ ST6HnmD8RvEOp1QJxkWLuukSXTWwYdNKqbc4HRgL+7j0HyHACqmP25ll6GAy an96GKIv8Hqd9yLl6eAOQ2uXijoBJt+rfrcL0MFmV4fVNX0CnFq+JbZTiw5G jiTxFmkQoKmY8VysTD8ar24j/rWpzegHZkQ/vKkOcIybxuQb8caMywMbZBIw 5q2Y4c94h/S3oTY+vn8Avb7rI85U8gfGG/rp0lKngHQMxlnm+Rd2tWIsv7b3 EvsiAQaMzqX5CJOAS5zpfn4yAbJzeVBWEHvpxhl16rlJAow5u8h1V5EEro4f e3JjiQD3OHmp/zxPAroRgmoRrESYlbrm74bYT2py7GuVu4kQr6H14ZIF8v0f dupfkyRCDXnhRdJNEgihLgf0KxDhtOgiuxliT+17GCiHv0CE4TydQp8ekkCV FPektwkRHvqbIXczkgQukFISdByI8KupX7tcwyDavnGrYOc/VIxR/fPQWfdL Asb6yQYczi8xVhoyH/02gbFgYPnDlxxEKD2615DlCgnr/1shPwNcMc5fmY/7 G4rxxnjbqujjlP1/+EGHJ+7FPMY/r7pRB7cTUa45un04MhSTO+N9o/cUE2CD bZDHWy4ySNNlGA2jEyDve81o4m6EZQ1Hn0wRoL0JbxlejAzSufNHY5D+bxig dT07gvD31dF4FiLcrpXxJVCRDDL6dMaSdxJhkl5n4Uk1MvilemVFU4wIVXu+ l7nqkMHKU6/PRseIcO7irpoCEzJYH0omW0Dk+jenn3+0IQPGA/XNDtrI9apW LwWcyWCz27sKDzMinG0KbjG8RwZs9X8yfG8S4ZGPxQtiWVh/7FixYdxZh/GG visTNxoyiMP426zYr7xqjCVYTd++JmH8t4v1Z/8CxpRogtAHXiIUn3zxXlKN jN5fxDDo87gpxkKvtWcz3Mn/3/gig7mQ00pegxi/0XTyYf6Ocfq2DOLTrUSU 3embtLQTMTlDecbQcg0Bumy5w1gmQ0LPK39YXLgYqIbxxvs0YzJ6sfUExpRH 5bK9RkRUP4Z98V298wnTl1fbiJWLm4hQr0OpqeQZCY3v8kr7aklYMcZHB92T 7ZoxltKb/ctqhzGr3u/2634Y0y67mHJwkNH6kbUcqo7tx3hA2Ybj6gmMN9pr VV+1+PogxrKsFW9VVTFmMCxNbrMgovbf5R2D7/+MElAu8ps57PobY4bpzfc/ IN9j0N+uSLkwMlo/x8tFTbUZGBuUPF44U4Pxz4QnHFsvYFw1le80cA1jD4Xm 3sTbGE/xQ/8Fazo6X9SFMh739sJ4I3/EC7sLqetXMN6j+Vh18CbGXjLtM/k+ GE+oymzSeUJA//9czdZp+22O8Y9IsI3BlQCh1MhVSz06aq9aPbiOu2CPMb30 ae6wKx1U3xR6a4Top2AWhkdL9+hAgMkh4h4OmT949XnnrZD5Rkrd8kg2AZJf eDF7amH13zjfsvfrpXWXEIztfuyQEbTBOJ/qYWp4hwDDi5K47o92oPvzN/K9 jduvzpKKMa7MkXzLwJ4CfTmTRNUSqCCy9M58rCaW3/VQzsutwo8zoc4xTXnL OiqgDKkU8mtl/vd/lgq0qeVmkyEY87Dv6khByovtYfrKmEcBpeoqMd5jODQe 994WyS4bmWzIfU8h9i+ZAlge9tZpfdiIp0oB30MebG1Erlde+hN6M4IKGGL4 4GA2Dpae31LalksF4pGUwQQ8Dl7i3zXb+4oK+Gt8TH4U4KDgA6bcqUIqGPrK M38yDwdv0JQTJcOpQLohRbbhOw4+87cqjIN0wC4wAHIWcFCOZSjZXIUOHE0D Ul1+4iDOPd1x8BINJJRX670yzkX3J6fXpug0x+ZBbsMDf5/XUECGOLuizZM8 OMQg9nTZkgoarUQ/fuPPh9pbz0cnnSOj+1c2xktcNmkhvKsQKvGGOlc6kAFz T/33q2uF0DX+kPKSChlEOHGZbOothLKD0/SDT8mAnnd/5pB8Ear/7rrwzWhE FMPbqU7TrSWIPXjXwITncjEcjv+iqFiO2EcM269uNSmGqavVvBVn6OCp0UNa v1YxXI214SUUkND/h/5x+2VO5JBA49QSIy6tDDKec5CUykPsNbbqPb52ZTAv +vPaw+39oN/rElf0FSK6XyRzu8IRP2T8N0vZ2g4I96P5BhnpxSaeunSge+mc XR9jEjQ7lAEPGtJBJD5CaZCQBFV26W1+g3y/huxeyQSEb2js9DMyp4O5S89W m02TYPy52dGjx+lgmOe52z/lXbpsdx39SgOPeyuSOWVSoHL5Hun6nzQgLO/H o9iTDOvzJpdUWOhAE6dwMRiRfxJmHOuao4Ffey8Q7HiT4VLyM8tYRjoo8FY1 sEK4aKeXX8p3Gvicu3M93iUZyixoXc8VpQNL6gPa8SMpsE1bz8mUlQ5mBg/j niD3o54QL+zeTQcfesOGa//Jt5LdvNXFnwpCkqstgxbToKTupLOOFxWUmV1z pyIsxNsoDx5RQROzXo1oTzp0naDeN79DBV817yiGI/xRPz5T5zEVnASCV35b pkNlhTJgbEYFKzUua7eW0+DhxjipCSsqyGZYP8KDcKTW9+eru6nAcPzu1s88 yHgbw2lY7KECibKmqbSKDMjwbrr4jwwVCAwWnfFA5MFzu5/uFaUCoYf41imY ARXIZHeeA1TQ7bHzezXCyvWMW3ZoUcGrt1t2rHBnQolGw7Z7J6ngrL+qvSpS XovTz/weIvc2cO47UpYBfVvf3S5zoIH5Vo3vHr/SoCNHQsYOGxq445nHpoow eWRh9acTDeSxu9Pq+tNhy5m/vgwWNGBsp2031JcOtR/XrrB70EB+m3R/s3U6 FG6eLC3+Jx4sSbbM/Wca5K68pByvRQPd60ONcQhf6oeVDEco4Pm7yreaCTgo wWDT/OgQBWQxeCgp6uGgDHxCbFajgLGLP1nj4pHxv0tBu8uaAkh22wYWn+Fg movJ5iQtCjB+IXPyGiLfiO8ygfO8aSeYC5nC/LZreJPBDv8yf859udCK/S61 2pIMsqRrLqkIYuf/v72RCV7lL0DsFzOn+TTEHz3YTrvMVwAZRuI0XiP+j/bf j73CpQXwzrYLGhzIfMvsbVEjhPDAuI4Lbn8HkGex/5v4KAnmt9YR5hQ6wGjV IUu+9iTYc0x3tZL/3/NgD3BJcN6mVHvEsBP0j36STCxNgg3pMa5JpztBNy3J St4hCSoSDO6KZHSAWAU6fOWfAiG7EUE6uAP4vtwcLHs6BXYmKo5cS+gAj2/u 2jScngJfz/bKvYnpAPOPTY+8QvS3jwp1KDK9A+yQE1Rwf5cMg8zkD94P6gCE zbAxLjEZSnoUd8URO0DOyA7HIyIpaD57doqZ1ysJLL9863bvB4oWiSgz/ZoU uMCOMaQYEI1rEqCFZ5Fx8QcqKNjqVkRB5Fdpv55nDlCBzY0R4aO1CbAy7sdF 2idEPy5qCRYg8iYL/vArC1Swy+zbuwCk/G0O3+0sJCr4aOqeEW2VCEfOiSkK CdHAvcE6p3ssiVAiRds/TYYGVj5c4DKvSIB/2sQ0rRRpgKeNZaG8PBH6eizR P0rRgEDYYFacaSL8/vSlsasADViyMo/WIeVppW4cRltpIFdxn1RjVQLMU6sc cu+hghz85ksZr5LgpmmZU0xjVKDR+KI1zzYJOriKOIRRkPpfqD+7b1sSpJ3f K9PeRgURZUocMbWJMNKW7UD0IhUs/vkM2V8mQd0jm1ZtJqmAdY+eqAxSfiOe 5jHvsIJqxkSUNx96amJdkgD55Niv9ufQwCfBvxfmiUnwhfcu1+txyHjjHGEk mifBXi1bWpI/DdxtvsP0tjYJXkiLsJOMooHJcPObvYh87sOnX7aZNLC1SF49 iTkJLt3wGDY0ooF9ChlFOpsSYWu9x4jkeRr4aWRRv16WAHVuDFxVuUoDXunc 31kQuYrngYImZHybGIaPfEfqU7pDsA2P9Ke54ExvMdKfPM8GxH0u0sB+2o/F SpNE9H/egfO1vOlSqdj5uTDDhokO7Hzdy57vdodvYRzgePdhv0EaygZ78PNR c1h5sbckK93wVKj5u+BODSsF3HjcwDv9KxUedp7odl0ig1pBqXLOhFTojLub y72TAmTfZXnwLqRChTodSaoEBSzvHveaQ8prH9fO/M1IASNEH8kvpog+Ie0l D+tRQPVuZtbIyVTY6FYQFXudAqjfWJRf+KfCv+H3fFIRfmrAclivJA3OBQ76 1+hTwMPu6u2/L6ZB5tt8S2xKFJBQR386PZ0KP8x/yMMh+ukux58+nbBUmLcv /NweZgpQ3nKtoiQa0W9VEc+WNlPAgghUUz+YDqfPP9k3vID4U117bDpa0uDf 4iMMzEh7mcY3P+9YSIesT749NeOnAPuS9Dv6kemwderABQ4PCjAc219my5sO T97lnMiVpaDnGzfOwx/m5SnTrsTY8i3nKkEL46jw6y6qe9JRe8NRO1z/emUm yjek20rFvDC+xsrIMQEwdj03c1dVCstH7yzQRmOdzYT73k6HGwuQQZPXQVLt z0zofzrf/yTibx6W61Ahf8+EbQ8ucuP5yAD/qCM+6mgWvLr9qHmRExlIuVmJ Mk9mwhe1Hgpz98lgHJyL1jbPgmuv7xZTbMkgspb5kbloFgxMyeCS1ScDcYd6 69wvmZD1etYBDk7EXiKfOWw/lwUvaWZsPyFKBuHJP5jYi7Kg7+O0P0yIf7xH goE84JoFG80+cwgpkIFH+F+o+DkLNrxLSLz3ngwQU+dRXR/SHtoH25E2MtBa mJk4MpgFXYI1A03HyMCOW7Xl89MsNN6IndX17NgqHMp5vpenxF1wUMEr3lFd mgwovBXl6pU4tH+q9IbattzEwa1Ed119pD9qHnAXszjhoI6iFD71JBnoVy7H P72F2Lu1sSn3fajgwoQeg0JwFozv0Z84hvCjtlBxeYQdnl7eN/2ACnp8mCRv dWRB4yqvrofXqGDN8P1j5qAs+LrieBfeAuH8khjOICyf/bP77O4Gh7JRfmQ1 7rjrMw5lN/VGO3oWxqEEXqakBuz6m4ldF61uZ0Mb0FJ1Ro4EXHcX7yj3z4ZN lq53M5VJ4F3qmfhc72w4dzF55w9REghuqLr4pScb7vd8H4sLJIFNq9o3uG2z Ic9SsDjuAQkY6embdJdnwx8Vk6kB9oh9KnS0Idw5Gy4vX315XIIErAVbHMts c6B4IP+6iywJ4G0+aC3tzIFmx/lcQi+QQC7L76jxqzkw9qGGA/UzCagxh2Rs SsiG9O+88pQ+ErhzfD83c2o2xKUd2X3tCHK/rfITDVU58MT8MttXDRLorbZ8 0VmYAwVkruxLOUACxU3SD9jYclH7mZ/Ft7xkKhv2y33NYpn4b//K0RxYftzH fiGJAg49PWEVKJgD7XpKzrekUkCB/bEXKZ458Mn98zvzQyngSq56m+rtHFjw QNs0z5kCvCSyJFf25ED+n3P84x0koMn5p16pDA/L5rbIf1ZD7PkPcVt1CvBQ 2FWOU82LDCYfppzYVoyHSukjRsYEMqgnrB3dWYWHWaA0RcmfDHhlYvz9i7H8 LCmap0YK/mL5W5iYn75VdcuH4YedQqYvDoIhlvwuh5B8mPs8tKHKZBBYUzjl oG/+P/E+Ew/kDAIeHwsTH718WKxnOsmWMQjWRBZNXnfnw8NtHan23oOAytg+ csABkaezJZiDQTCr6fnNgbUA6gu6zU9cHwR2fc1cD1wKYPaVfBtVRC52nWfk b14hjNrvwwNMBwHe+5XOrfhCeEBb8/ZI+CAY4zB+rni/EB5+oy3d8HgQZO8V q5f2KYSn8U5/53aQARzQeFWXjflD75i+zOn+KMDG3zA7Dve+AH7YK8NyupkG +D6eyuOJLYS7fwdavW+igYicm45sVwphvG6zFd58ANTEqKTcZSyCqqY5yrEP B8CIYbzDSE8h+r9FKf+NXP3LIvg7oWRBoXng3/Xq50X/5Tcgg4DKy4cOJhZB AV7uLbs+kNDzDxvfS7C/6KMrl4vgMKl/jYw8v6l/U332ciEEXITHYvU0IE5T EYfqRfCSlHdQsXc/GHmXUa7LWQ4TLxnc8HPvB94nyUwi+8rhY70/nn1sAyCa S21b6MNyNJ7Z4Zb6Wz/x5XBS9Xb4W+GBf/MNWpRDunZpippfH3ATaWr67VkJ m5//iH+F6wN6YsQK15VKGBi1rTrPog/d73DusdOWg8kYD08zm1Ke9YGV7fmv HEKrYN3Y0MuSNOR+T0zNQ0WrYIjssNJnSg+6fv9+94mQIsdelBMIUsr+ezCO 2C8/eoWvF3yG1q4phwlQQcR9RAGRaxS/eiXxoQbuCft7RxYp36JlZe6ymwD1 zWTLoFAvOOLv8hXE1cCimebb0bd6gSQtLORWdg1UMF5LuYyUB9nVJ48N18Br i0oZR279ex7yOgsByu/PpH6b7AN8kcPDVwSI/72PPhCpcmlB6DgRtvPkZIyV 00BJU9FuW1kCjC74NZtVRwOlZ+vcnM4QoImS+rnrr2mg7Hlb+20NAhShJ0Ye 6KSB8pMkYR9DAuzEyeyJHqSBWMP7HHcuEeCcadRVbqS87Jrx1InXBHi7t9o1 p4wGYiQby7n9CfCEvpfHnloasJb4CsvCCHCRdNYzCvkejonz91+KJ0CiMZMX SztiH4uqWc1kIfUh/eiz7EfsN6OCH9dLCNBTp20sh04DM1lq0421BGjakTQ7 9QG53+yHMf4WbP3o1Xw368wXArR5IUZkM8DyzbvEJ5x6ao+xVISvKLM0HVic O+/2JoQAv4Uqu786RgeOub3tmbEEuCb8+UbHDxq6XrSRz+PojWsd50wxbkh0 aBxywljUh9fM9QHGYqVlPi9jMBZ/r5XGlUtA9ysLibBXZpIwjraztz08SYAq VM/2TwhvxGdcP+zdclAR47Ibpz/mb8O4n9Za4oj49xvrdxvPs9afDTf8gz0/ 5VYirXMbJk8XdBk/I4zxZeaGl67HMOb8wp6So0KEcocNvStMO0GAZFj5rH8i VHLUZL2g3AmejBpViismQtvVElnqwU6wFM04ofwzAXqVZKQZb+sEMlOKloql Cf/9H+kA2meu51f6JsJ517HauJmOf8/7cifCzuSiRYJgJ8ob8UJMUut3sl1L gkPhT3XFrnaA/3WTfhJMTpYS/VGN8TOh9Ou7QjAeTGnO9PncAYj/qP2KRHR9 btvewPri40koa/z6lJadmgjj5w/ekpwkAU5dyjafR4WofiMxKUdmJxXCffsW 1rkckP4xPXeppK0Y2jPHb9rjjp3n2FjfZF33k1ILLYb+IhcdqpHvT3SLMqvu 1yJ0PXHZqzVK5VQx+r12KE+E6NUVwZkd0ZJfr9FR/apI/2CSkDYApDoeuafJ IPqn0ObTZuLA/7cfaQB8Stfe5yBV9d/5/QGwNTjzerB+FTy0l2lPUPIAGg8z d1Z/9JJEP6qPNv6X/ZzvLIhtr4FhgzudYe6/50VKbtTAW6S4nx8C6YDD/In7 4F8CnB25PLhJgg7aVr7I5gwQoPqW1mH2I3TQ2+xsUviOAI3NOSYlZejA1P29 1j1eIuxYCo4oR75fixDqzUzk+yyqZ7kef4gOjswm/rnHRISXtknn3pOjgy8W MrlanES48uaxm8YZOrghp77Awk+ElZI8X911sO97I//xVmJZtOsExne2t+vh FzGeqIjdU7+FCBm2STyOOUAHac/4Q6ETEXL3uI3yIfWvcF8f1tAkwpAWqYON SH3zA1MOdhgRoeaZriZTeToofx0cBCyR+hk3yH87SwdXSrlO5dwkwt8G3XJz knTAvbNwnVGCCAefH+2rPkoHkQfea5UeJcIbKjpPtyjQgXv08mqdNBHNjzgl +UUyQDUDZfNrOu5xlHSUtd250jJupkO+kro0u2kK+DQdf+GKWgb82nQo7cUX CnjPecD7JMJ7C954uLJSQctlYs1L5Qw42mWweIqFCgRI++xmERZ5V8PVPEoB DYd2KNC2Z8IFvbfvce8pYKhfyHm8JgO+/Cn+g/MXBZTJi7SzIPKN/DmNT8H3 8BCMDSViWIuZsPzk8UWbWC+1ZEKpHPrSFnUqGObp4wfI9dZ8Zz76ClFBNJPT /WcIdwmWq4j9c/5lj8OeUM1MNL4b70+j3kfGqSinipRrhv5MQVljcXb3+fpU WHF/iP/qABXc19ZZt0G4zueLyGcyFbg6euwACJcIjB00WKACIXEpLeMXqbDH /UGJ6xwV6KnO3vJEuPlR7XhaNxXsE3+j5h2WBvMsq7RfvqECvpo324ZE0iAf 9++OqCEqUPtTqaWAyDfyGw2c8OB9Z5SK8sPx4JXAHykoPwiWVll5jtSHT4ly 9hgNXH+Tylb1OA0GLr5zihSnge2GPzRiET6x6dVY7CkaSBqmCfMIp8HIJxlZ sVtpAOfCMNCFlHfJ3ORVyU0DBKUUo5rnWH+IOryaVDubgXLbcpSiTXc6yoty Kd+uW6TDq0W/eaP7qICJHX980880WEt+wFJOpYLWkyJbxhbS4M8W8c2iy1Rg rSmdb4mU167cO5/7hQq2rPyxEkdYIuhNZ/ofKtDaO4BzQe63kc/ENY9BCJIw hsPrq4HXMfZfiv4ufz4Dhidedj5aQANR977NlJPTYV+9r9e7RBqQOVa44oSU f8ux0/1nMQ1ks6Z18NqmQ8Mbn4x/3Ufm5ycD8OFAOlSP2feF8y4N1H/XOLJm /c/9Be5HhNNAKO6cS9RgOiT6+DQ1ZNNAcRLIXF5Kg9Ee1vLs6Yj98MH6Yw3C G/k/9CQleeSR94XmB9kl8sJ3PgXlogXjRwSkf82vvw5ZP08D30aiDQDCYUOi aVqaNHA2P3BQAWGzTTdOhtrTQNp3OosZwnZfg2ZVrtNAMkHU/QrCKcf8jjYr 0wCVP+gJGXm/bGKlE7fP0MBNcpHIbuT9Xv4lczFahwbEPJro25HvaeZ/+wko wEZP9OEyFw5l45k0SkFXFixRcA+uXSKD71sdVuK4cfA+w/UXr1kpwD/0hKvy Nhx0L6lPe36AAkaeXbPX5sTBhrdufqd2UIDOKjHoAXK/tsMePqYLZJAVV8Rt l4yDSVdGcy8g3NUYea3ZEAcd3XRiBLZSAN/7nfOziTh0PaPw0njJc8lslPX2 Xvre4ZkNfzl1F7Bfo4DJmRb9NES+w18h97EeBdRJPyh5hHC3XtR2eTkKeMN/ 2q4a4ZOhUSbtkAJIQb/r0xEW8dE8usWSAiSkKlMJo5i/LyURVC7ahcUvbXVe l+C9lwPbfnKkHWVF6i9QwjzfmwOPmdQy+Jwjg/JXRlsPteeg680NmwcaHbxz URb5Jp3QPZQLPwwlHvuN+H9VuBPh0V658NaYyuM1VTJ4VtZZ2ng/F92vVOq2 RXKCXABtwmuvRWUPovFI/53P+8G7FdrHQKUa9H/MaF25u5EtAQ4fPqjw/ng/ +n+RYnabYbc5Mp64PJmZzmXAtI5tL/dYIfrj4dIgBRmv8VJHrwX6UUGVCPPZ tTMZUONBl+BRbyo4w1A7sReRRwUFf/9gSAVUqyVzGncm/PaFwG+HMLyWl/qr NAOOE1ZO/JOP+VmrXk4lIt/I75ffEtgZi4zXDcbnuG7eb4lxtH/1qY/I8wzb ++VFXlHBXP65nxw8mbDQqnWguJgKhjjvhLUj9/s1JvysCpH/Dn5VxYs8T5ix mfVqAhXkpfuwxSHl+XsWO0ZSqGC/7PzeBwgLUkSNrraRgJpl8zBuSz4scpd/ /8mxA6ztu1w44Z4ICzm+HdFV6AB9CnIBC0GJ8EDx8tYWoQ6w9LbS5y1IROPl fc3rbFRTRew5t6z5q4cx++7f83YdYLNA+tCrnVh+r009n9OUL2eg3+ffa9rX yO0Ye4rb+eMvZ6KcXNlYyrYvE50/D5adLLsbivGLs9xVA8j8tcG3+wdU3yHz VwDTMR9FZH5UFZsLtmtF3gfsW9i5SAHl2bU/hxB5mdLbxZtjFJCiOH9536Ys 6Bnw09p/OxWksXMedkbkLiP44Fc8VDDu1WcRg9w//KTISeVVCgjUePzzDSJ3 /lX4qXKCAvbMStw7pZwFPZreidnOUkBz1cXRQwibbX+lw6VNBYy2xoo6yPVm ZpGh17SoQHxFkYGG3M9JvT7m2QkqCNm1XUsFkefKKE9YnKeC3OWKW/VI+S03 5ohXz1KBBdvNmccIEw/LVFvyI/Pz583jtsj1OE/t6X5ZKriwM0APImxj9pwi vocKxgTYSoP+T3+cnZ+TW2bDwad0e4kQTio4EtvwfqIVywdykf2L+bnITJSf mR/mPMeCyYWFKZ5c7ZnwaGXL5i23KKAlTjzIsSMThnBMZXv5U0DuO7LucUT+ Y/dOgVf2FOB4Fvc5eUsWVNiUnqCehpR/Gnm78g3SvupGORzC+uLkqG2bs+D3 oj2vy0IQe8mMwPb2bSa875Ox45/zh4sf4+Xr1LLguaOjX7y9KeA8n7eoAsLd V0WlMj5RgKy8weIFpP4spkwFh6T/O98Es/+zX8jgMS0qVglkY+eVr1iz8Qni IKfkL8XiCvK/8e4ycGh86/NLrVYm0xh3tLGz3cRhnJmgbPXAHPs/5nNCkHvu VDbKzqdkiu2+4+CuG99Sg9TIQMZo++Db4Gx0PrhpYnfyjRTGW06vcm6/mw3H yZ4KJb/JoPd++Mo1hJ3ZXlRoilAA+XdvbTyir322lYdfXSWDr1+6zEZbs6ET y4nlVGbk+/Wb43qDcCwp8eCsGQU8ld17+Sty/QnyReVuhJd5ztvNtGXDx1dq ZD7pU8CPxKO+QQiTIoWFQ05QwEnnJ7vcPbH6GBU+Gj/WkoNy5dEr22duYRy/ 9MbnNF8O3GLJ4XxAjAJ+VTtONTnmwGilIlzcLuT99MbUHXTE4ofrM5vyXTyW jbK3RETtZd9seMfmz/HGADKw9o/PNPFH5p8TAps4ysjArXir/d372bDysNLH 5UdkwCfp/NqwKxsquqWtP4kmg9eXJxiOd2bDqQzw99kKGZz9cVvGFalf462+ 2hAW5Htgzux5hfDGfqA/tOaxLc+w+WjbTIGsqV8uykUq+n/M3uVCYr+ApjIP GZz2X97WOJoLC+pGmn7uIYP41+2PKIgcFxW8ef4UUr9sBzfKcC50FaRE1R4m gzcLgb+fjOTCoyp115e2I/Nd4NHo60p4uKvsiCONjwy2sl94JovwjW2KI4se SP2Tgz65IvOZWsak6AM7Mmj5/ul6GMKPxM2rJV3IAG8UcGse4GEA11dpHUcy eOhh2jyAcFFjpePdi2TwzcVRWQJ5vuzJUOmUy2SgJe/7lTiE/X9dvOXX8eUp xgoz/kMtM7lwpf4oq0sGCRxYfO1RPJcLbSM14FQjCVge1OKJn0bqX1N0MqSB BKRaTSSoCEdxd3kzJ5FAY+XOC3l6eBg/kGLbnUcCr567s3zUxkNuOzPFixUD wPHV8tDnkGK4XnXKJihuAIs/8Z9/qpPwwvNzcjE061BauMrXi+7HjT00udkA 9AFpzu0spuaE/8Yr4r9dWdxEtyai/vK78FbdyctEaH1L0mAX4t/9s/9m2pQI dRJnH1WdxnjDnw6f+vA1XoYIFVUPpvo60f83vl8cJ8IuRX7x6isYb/iLxl2c YWaKGM8fSt7Gponx9IOb0qmmRNS/d58J+kEiJqEsL3iQQc4M45o9ROcL7sko p9wNqdPakQwJJv4BI0/oYHH6icIoUn52IINNMIQODv780l+EcE3BqntlAh0k nJSKSUTux3B6+c8vBzrAmTJLCyLyjFXlKJolHSwHJn7uNU2C+2f+jPq50QHN NvGOGiKXy7BU5gqng5129njAlIT2X+NM0elYfAK6vvT6p0hkREEiylenzu4q 0E+EDBFrr48Z0YFKR8RRXeR6zn71TgVTOsi7LtsZsJoA3Y5DQoMmHYjqFLl6 IHKqx7wzM+Jf174gOPsg98PPMjvfl6WD41JAWwy5X8P6ZourkA5MTmfU6CPy jfw5YSyvHQZcklG2O1Ws9JoX47/UFh8ZpD0b/Ns1a78V0h9nL5Smm9fQAO9t zh4qcn2Y/KTs5jc0cE15SDIF4cRMzis8BBpgZWjLe47cfy4mw1x3nAZcXg0N /LOfZbzNtP3hJxooh9sEExC5qJSHYPQADWSuKPI9RuQjAb+ZXpfTwOqyekTq 4RRI7Wv6ePg5Dej8dKj6250My/29z6Z00gCbG2vec0S+sT4mKze0re5KKsoP T21f6FzA5P3DAq5ZLxF/5IEU/o4QHXx4LH0JZ5IKz85VjMZvpYNDp3z665Hy xvfYXtIE6eCCxSd3d8Q/NgzJfR82RwN7JS7veob4zzpiea5+COs7jru/Q/zT +i7GvUuMdLDpkHSPIVL++lTbsjg/HdzzfbzpdVQKxD2o8sVtRvQrryluS0w+ dD6svaOhjwS4Zz6BwfB8aFmae8uKkQyEY3nVtkkUwGSNE9efvyWB5PXmgDvh WPzpr12bRY+XF8ALMy1WNtKIfei6YKlcUQD93dXPpV4ggQEt5o8ppQXQoCf8 bJUGCXCl3dQqQXj4W4HV5VASsKevQ0/zQtQ+1+9S1gvZXQR5xdY+6ef/dx4J 4bVHXxeMRgeBHv8FpRucRZBU59e2Uxxb79qI13DhrbBsNnMVmp9W85UjVJ6o hDbqUdKHNQf+p18GPlbC9Z40lcPNfWBoRUckBRnfMpLvSveYkMHIz1cH29UL UHvgPqUbz21agM7fK8QflsP8+VDwm8fMLWcyyC8y3Ce1Nx9W2OeJ/9Iig1tO HP1+O/JhV+1HxwPNNHR/2vQXzk+iB5HvwZbBJVOwENbtUpFhFsPyITS93fss iZUORhplPpUSitD94tc+Zj9WL6iEf+K/bdPYMvi//xeeMZXo/vSE3ojup1o1 aDwSPvOrSYe6sHx5yZ+oviX3EtD9gBLcW9meDyehLPxO8zLhEcYCheHZldIY 77zb+b10MBFaX/FKyoVUIDIheJTelgCnx2tqj+lSwaEwjTOObgmwov+Fy31V KrhzZGE61yURfjKcCFZG7FXr5dmILXsTYdX54w4mB6hgIevpQ6GOBHjz/vm3 PnxUoP4xhssHqZ/GVzZKF2Jfyz4vmaIOJcFBwZZzLt8pIHJ8vOWufxKsAFaE CYStzp8RMZNIgpePXrzr9oECWseKBu4OJMJkceNoG24qiApVUzQhJcGirw73 wxmoYJfk4H1d3yTIOrIviPMdBVzXKmjpcEyF8TxfiWAOsXcidgdRWFPhS4X9 v4OR+3/+cVnqSH4KvEsfvBiH1Icxb4Jrl2YKfHmQYiSB2PvMfEJh121TYSoH W1AdIxVUm49z5rGkQqdQJo9HS4i/XBA4IByZDL+kqDZd+Yz4Fx8OnjeQS4aM v7Z++7JCAY3ETHJ3RDIsEuzwmWKngox3nb/vHUmGMVOMM0+mKKA739RbciYZ ZifVdOUi9v+xp03N7ZapsFg7M5H/NOIPJNqOWDCkQnyx2AQdse9xF7fwNNxI hVsMt55ikaYCF/X0XdOMqVBZ7Jvg0hkqSKCaB5tmpECd9SonIuJfdLDhJmhn U9D4MzYKH/+8DEhG2T9JjW4ikYzGvxDiXSp4kpiCsve22Ol7p1Lgn+pve2Ma qMCz2X6MD/FH+4R7HYXLqeBs+uQeKYS3J5d57mxB6qeX2/vEIh0ydP3Bv4mh graYK7gSRK54tE0xLYIKmr+Ehn9A/FdzPZkmy0wquCi+18AdkY+OZS0YPKeC j6/Nj7n8TINZbYLFjlVUUG/MRc9BeCP/UF6h5Gaua6kol41do79cTUG5qute 5+tXqWj7hJpetdVGpaE8u1LP9EQyDVKlvPT0falgZFPRekVTKrRKKou0uU8F TsKZr0gIf5LqaI03pgJTnro7S0/T4CPO7YFjBlTQZ1F28yhS/g43V5CDLRW8 PBXzZwsif5+j9qEAmX/K3xNLxoXxMDH5ScHOdhooPl5sWd2Ih28iX0rwkWng /B8OBbVOPGqf5P2+mMjqlYtyydHTHLtZ8fCTEc1tOoIODKWC9zB9xMNb9Tym ZzwRe4Ezf+v5VjyceHhw6zcZOjia9gKMjuXCNYOY4TAtOlhwEVgxXczF4knV fhaPE8uDzrMCM6edaCCf9xnOMgnx/1pUXAodaGBr7Xn+ubEs+JHX+qazDQ20 8PueFESYS6SvZUaFBnxoc3rf47Jgx83YbqPAf/ITHKoYVcmBBJGYNdMUCjjA fC0x6RcevrjCnlQeTgEz0nxunbN41D9si/db1HXFw62mpxIr7Cgg85ufQqUd Hv4NTOCrQvzDkcXB05tc8HCLRzjcqfZfPBijPNS/+HNWSbfhbR7q73OMPk2b uIxxqsVpO+mJPDQeprXc80mu3ixUznXmi4l8NLZecPYjj0plVybktN777pU5 BTxi0uguP58FH/Wd8v5nvSv1vEG0hXoW/FErcYXhGAWEhaxOBfRkQvzTs4WP VShAI5jph0B3JhypqQh7dYgCKAF5JqUcWfDw+Du3ijUykNLQqvvQnQWfpzus 5a+TgYWKWxFrZBbM0fHyjBOmAPesczf4OrNg/LY+SZoCBTxc1/JwD93Yf0IB ysfqqyqDMVaUMvLjeIu15+KUbklASBZcKXqbHMBGBmGXOJmX7+dA1esh3/YK I/PVl5cXH9zLgWyONy5xnyWDrNfEsunbOVA2wNDA/iAZKO5Se+l5Nwed7z4t j+R/cs5B96MHy/HvrELaT2xVI8u+poKrDYqZzW2ZMIqRXpmDcOTTi00qiP/P QpLKViqighcX6Z1bEHncFdOza/VUcCZfe3QHUv49fNy7hOgHYcbBTkekfzfW q9bqrH5IIv79xn72HAPT5WxmTJ6x+vK0TDfGvXN7BoO24yAbQ7PgVkQ/DJyR eHm8B2l/mPRv/2dUMPfk5moV0p8JtALWcSIVMPpryro/zoJq7UFfDe9SwUHd z7c3qWah+kzpvLBoI8Ib8x1PYYrukb5sOGB18NYxEgUUXIj+zY34oy6zdeHT CDtNpVjZ9GbDnxrLsmqtFLBjJr65vTsb3b+u8GTnyFXEP93YX2+rGthk6Y3J jVxULFa8c2B1nOsOyyEKqNLQcBLwz4E/8uQhrgnxj28H488g76+oh6/2eQ4F XDOIDAxC3s/e7AP7PV8g30vEdMgTpLzQdVGbKQryPM3a9wriOfBlNyy8HkEB vp+l4y+2Z6PxBb4kbA570ZGNjodrnWIveS/hofvacfWYSTI4b3zEh+9DLjRv 6PXJGiUDSrupuO77XDiV7fbQYooMEvvDk5w08dB/SbH4xTvEvrHVvFJ3AY/m D8sIWemUqsX4UuKvVRvZPFiDV5oSmUVYaTXfugEPrXGx68m5ZHBiSzSUVsFj 5wHXj8sOq+Lhzy9HWtLUaeCrmcKvMJgBfTdnuuVcpIFmV1X2CoTnoy9zxtrR QCyOIuOtnAGXbiYdP36DBgK+bVW4jPCVt1bBhWdpwO/GrjHjHZlQhjuSDAAN BK2HkjSrMuB7afeg34Y0cAeXedFwZyYarzw1p2KZaw/GLxtPLB5vyIC85I4c jSwaCC28LzJ5PgPSq2gvQjNpYFp4bDcV4frnWexupTRwS4c9f2V3JtzfG1z3 IxZ53sSrPS78mbDRze/H4QIaYPIjZ5+tz4DN3kM/KAE0UGa6uMdVNQOerDlk cDuQBg72XI+LQBjN3xcdvy9MNxP9X7HrNVPmG0TfPGOp3TWtSgOKVunx3Yh8 PaZI+4w9DWzX/PvALyoTxlNeB70wooKWrUZ9WZw4eNvf0W2bPRV8eKGzqfif /w3ve20zEH2twHQo4p//C3p+Gml5HlSAl6y7fWcbFv98sy/ZYacFDt5RcEq9 i8zvF+eMo6V24pD56vxlUhkVMIHxWeYdODjE7OS+o4kK5FI6Vq9cw8HvHnK/ y6Kp4NQnhZfxPDj4reraWb4sKjCj1Bi+5MXBmrPvCR/tKWD5hExDSGcOLPhZ 7/aSSgHFh7U97o7koOu9W5Q4RZYlc2H6988ThxwoINHKWuuyVC58J9lUloHM D4afI/s7DufCzNWxwe+xFCBTl61bHY/ln4s516T4XTQPjuxt3uccTAb+p2e2 Ru3Pg0KNtUPcT8mIPv2t3CGcBw/fYouILCQDyysyFPyBPOh+HYY+Q75PHWLU q1ZxpLxIhZHvBBm4XVBzjZPLg7XPn58+1UoG/Oc4t2sfyoMC3S1EAsKeUvm9 9girW/5wLaongwmXiqP68vmI/jlgG9NPBl83LT68BPJR/brvuIYRl1AeWt+P NQZ4Zcl8WHO3ek66jAwYVpJUDh/Nh71fj31dxZHBGU653wGH8uGRT5xbFFLI oDIyR31fVh7c3ZzyXlGcDh5Za2UsdBTC+B95XnaKiH9AHpU6Sc2FWzOTx09e HARNCyE9X8Xw8IbCqU0xZwdBD1dGi8UUHrIOGr4Sh4Og4ty0anUIHp5Mn9Rb Mh0E70sETu8l4eE1z83XDFwGgbvMvahoezyk1LPZUB8PgmAP+CyZiIeEtuDP Vk//88+q8fChgcZsqecgGl/9X/06CHiG5PcZXcFDlh/992eUB4Gm+vq13QL5 UMfmxLiEwiAoqu5d+VaTB9+k5+dkXRkEVscDodXWfJgo+1Gp68IgEDstHTWj nAf94npf30HqF3Pk9r0/8sj7XAu8w408n1VI4WvZlzyY5me5N38XCSjf2xak 5omHQztnrcNZSeCqrpV96n08XO32Yz+GyGesO9L7lfJQ/7XM8uOkelkuyudL uTMa2fFwZw+elaxHAmnDffxem/D/7S8nAWEdFqfOtFyUJ4iGa8MruZBjzto3 JIIETsqvbDMyxEMTJj63k14ksA7yP2Yj7d9deQWIWZCApoXi37C/2PMGhk9W Rchj9VFn4dP/1Y2HJecq9H/qkgDbw6DTCm/wkHgpK6TmTj9wzojhEQ0rgY+E qsmmzv2AZL77vbdNKfw5Ib1N434/KBkLZjyoWIr6w2leBSGZJ8ugtZpSpRjr AKgO4utIu18K1+bTawnD/eD6k8HT8Yyl6H65e28n1bPKS2EnNZclTWwAaP3j n54thYPKtV+9gwdAP2t/rsyzUnT9ToP91+V+11JIH9trJRTVB56b7irk1q6A 7xhG19Ij+0BRdy23m3EF1MwWWm4B/WAlUPTUCUTeTmb6pLreB5yZRjLPqlTA nCIxqcXZPpB2kC3H270Chg/0PUuw6kPjU33c/vBNdhTGb6paE78/6gM6f499 7jGqhD3WnF3sYX1gmHZep12+ElbJG/L4J/eBk7Nb3b0mK+CO7XMzYXV9oKe9 Ji7SrBIKCDZ6Tgr2A7OXmx69fVUBf8dKf1ed6QNhwrlR0AdhYpjt4oH+/+2X up5VAY/vFvyIP9aPxifcP3+OvODTj8b/+nd894O1z7l2Ql0VUKguIvzqwV5w Ar8uYlpbBevOiy93W/eC5QBpV803VdCtT3shYXcvsJgoeRq1gsjvcXl0/OoF rHOprnWVVTDWfnWW+2svkBVteFj5rQqyzD0MI+T3gmPJLu9Fmqpg/gntHged XrBze4PPklg1/HROZFsRwp8Cn+jViFZDP6s7Dc/5e4Ff2Mq+tfUqWO+RfbrK sA9se3Spv7i3CuYVfLkxJ9IHyvwbb/B3VcHF0U8WHWs9aPyUkzxvRx1fY6xE nJwWCuhF+VKsifPhsxgLd9TJ1h7rBXam+MPW9GoIhZz3XDvVC2y/PTN3rK6G Eqlvnn/w6gWVFqwh9h+q4aLVWJCbSi/Y5uL7ruhWNfTgy5fqB71g/nKMG+uD ajjo9OXRZFcv6L4dqcjVUQ37pzhPB3b3AuGcCVmPl8j9fBMp87v70Hgrp083 XTig34fGa3rMX8/K2NMDtCK4T4VeIsBolzU9Xf0e4JPWKf9LgwC//jmp3BjZ AxjX+eTqTxOgWJ2tr6VODzjWO87y1JYAvaeHFybFutH9ctdgg1/qny6UlRPS 2fRpGIsuVgcX52LXv87V6pP1wtjaaHx3jRbGLHaRhnT3bvBYdL+osTYRXprf RAlU7Qa2izg+CWcilIhuZ+W93Q1o3wsPiCkTkflQMaRKsxuUKKgxOR4gwlR9 hofTGd1g9IJM5TlLIhwGYw9+eHeDt7X2YQ8XCZB49Gg93qAbiO5s4QgeJkC9 lA8c9kXdIM4vYVGcisj10w/VIte3TqcqxC0T4O0kZUamS91gu2/M3SU+IjR/ KrXPY0sPWNZ+rrB6GakfvkhVor8b7HjekzpvToRDmnsjXrD2gM9T+0lvThKh OJ/F3y0aPeh58LGh4czvnT3o/sj5C+E+TMO96P/z5D3Mp8dIyPcx3fBZRIEA rXJdvqyN9oIXwQcmbzoRIMtQ8YkTyPf7T3xMgTwCfBdz0rEdGS/32Xrcc7sI UMDfTPA0IncL2plVkk+AfgXinyT4esHIlbpvr/0JMDd/hwE3Ij+4ryEVn0uA uAFt/SfI9ydm2DBo0EyADd8CksXu9gK59jcTtdUENF5s+t0kiYEIHLberG6b JUrDuODR+DPOEBxcuFjPKYLYb1wnyY3G7TjY3UlYSEungcCnf25d6cHBC2sR 9GjE3kvOvSppJZCN2pehFcS91eLZMNGT6whnHg0sKdGM2ciZcHPYDPV6Mg1o /Lb/vjqYCX9aqE/ZIvZlpL7mY03TLGjtW+xzLw6pz20GZ6crWVB0q/WLQ8U0 cIFD1V+fD/HP8gjBZ31oIJhwLCuoPxMea9dbKAyjAa0/HqeyBzLR/TpDZ4qe PpzIQvl1X7hZ7BEcfCeqm3kcqY/P3vKi01NZMNRZ3kQ5hQZsu2MF/Cez4C/6 ljdW/jTQKWw+XP0xC0aqTpRYh9KA3pFndxY+ZUERuZt77QtpgNHYsLUkE8uf txQtd3dCJwsK3C/yFkDs1/+NT64seGWy4JiCMw30AKY6u75MeM4kvfngNcSe donWUO7NhEVyJaACsd91wlVH5XSzoH2VeeJZAxrokh/8vaqH+NO833kskfq5 n5BMX7ybDR9rMYSaIP3Ruvhj5REtG+q4PDRxDaEB+1ZBFlGPbHg9TOl6FtLe R1+uyVbK5qDnxT432fM4v81G7e1Ce66pnYI5KCvd+isX0JQNucxand5kU0GE Ttb7i/65qL184wflcGJkLuqfVhkc9y/RykE5ZZKYebckB/qfe18shPirPCxS d+m6OXDEhpE4FEMFpSqsSprqOfA3w/h32UYqEDIO3Kf/KxvyR/2KUS9F/Nso hebP89kw7nUrZUcFFfR3sfnfW0X8tWgWsf4UKnC+0a5QOZ8LRfy+rPtGUQF7 E6mw4hce5gSqDGgiz9tavyL/PgAP2+/wtp0MpqL22cb62CauGj9HYzy6XtzB +/6xdEQ+rDt+Sfz3CSrgaJbguDSL2GcKi1bvEP+YKWJ5vQWfB0/dHY+NbKaA XFVP4474PPjT1eK8Yy7ib+49uW67BQ/zrDbR2pMoYDT64gzhLh7WOFDeE0MR f1V29TCHOx7W1/jl30hB7PeEyLEs5n/syW+PPRD7cZtu6GQ0uQK1H19HRWid Ka+AtC3yuGi7wf/tz26ar4DaUm77XNMG/scQjUdGA9ounW8uJmaifN3YHVdH y4QisNMjvRb5fmRnfXIomTB9c/55y2YacPM250yiZkKBiZlnOWM0EK45YqY3 lAmtv4zzf6HQwG4Pzlg/eia6fqab+7dIUTwL/X8zznxfNCYtE/ufI7FseHM0 E5aymEw/20sHex80GTCKZUGHU+0h6r+Q8WX7OPDxSCYcHl/1GFqlgXa5rcZH 32XCyA+f3qh+ogHn6a7hoTM4dPwocdtZrXrmYPsjI181HlvH8uOmknfePKCT DWsUJh/saacCy/ShbQEXs+HRuItz/e+oII2BN4tPOxvay4pZKa5QwcjWXf3S BtlQIfPmWZspxJ+b/qKxXTcbfd5MhF7H/yPrzeOhet/H/0rayBJFsiayhBKR cN9S1kqWbImESkUUhSJUlrKXfZvB2PdltCFL1jBjdlSUZCmkSKh+5/Uu53we 39+fz8c9Z+acOedc97VfP55kY/mNPe5H9qzHuHXfn1tWttkwQqqwU1+BCQ7G tTbr1WTD+u87SynrmeCpxesoXstsuOBuMhHKzwRb17iPh1tnwzr9zjwFIebf eZh9Oaj/9RLrAY74GpuX6pPS8kzYMBcmkSSOnTrGAMLjjDONPQRYfHjMYH4/ A1Bt+kPvvyLAOl1qq+sRBqjY+FqORxd5vtIlb7BBBuCOc+f5BnPR+P6l1SF8 pP3F0GIy5vfdwT60fmNlPsH4wxOHvtlVofGWDMHW1pzV1ai8zrIkzuTWJqN8 K0i0a9EuGfVHkjVuNJkm4FDWCQPRzxD5KyI8ZXH2Jw3cx0fqVyHy/O7krxSJ 9XQgduuGywlEHlusXmPoIoWwfb/SA0Te6ebunuWRp4P8q0XcfRx4eHQ0Sj97 K2LvEm5r/EDk44r/SDg2f7/NA4y/97t62bfi4LZSrgGPHDoYrsi/eb4NB09k 7ltY/G8+/e+seD9k/WuRz09jZH3s6aqfbWsxf9c0e4aQzWE86r8hCKtZpShk Qz7tX1ZCDTSwfjB3XN8P8x+Vu/lqb2vNRuere3oZb7x9n4CyPG6aa+0HAuxq cK6TY1HBUouRhstHAuQ+9EFy7g0VPOo+q14wQkDz5wfu3RU7cRjzH1VHG7tO VeRBtpHdOnxPaGD5fFPdRD5ib2fG+8mTaCBsW/DTC+V5cJPHQ64dEzRw+9L8 6tCneVCZpr2kzqKB+p42rpSqPLR+evtCodwMbz4c9RxV4JyioPr8yv1fJy99 vrCrCk7eeppczfm3v1H43SqYkUrmt2TvA7sR3kisQe2jy15ises5aqCX+MfK 1t3/6olaqmEY6/aLlIcsMMm9V+TDIyLctMu1vfARC/yqj86dyyDCqPihi953 EfnQGmlbFUaELbXtakYByPsgtiNi0hwH+bydbQGy/34ainsRZ4mDcVymZ28g +gOTS1pQJw4Ha3FtXxPz6ED/8tf93KoEiOuVk/Uk0kHeo7MJX9UIkDBQfiqW TAcnm7uPvtYiwLv1V7dptNFBRY/Mr/hDBBjq37d6vJQO4j7sZi2nEeAxu838 JuV0ELm5MNMWsWdNdTYq6FOo4KCv2+Mn6/Nh8r2t0im6FJBp2y7gtbcSOueP VL05SUHtr5X58lb5ghE4oUp44GmsQq4HGYy7f1dtRvRBiYQWLVoEGVwxyE68 aV8LRwgBXluDyKj+u2IvHdxZZd6K6LNO1wYznRH7SndDYF2mci0MkhMbYuNA 9nOrPWm539LhJi7jQa0tTJAUe1o0D2HPjrchHkpMoH9E/+IiwgvhfsWmMkzA GxVtN4bwwwzHSjIij/bQ2LIzujPgpU/m8k6rmcAqyMfdzyEDPowPnQna+p// 75D3qp4MNL5r6Fw5oNCK7M8sKiN4Fxk83cSpGq9VAzXPMYc3bSKDpUHuXUCn Bv7oTdleXt4B4tM/kpR1ktH5v4q9nsI77ZPh2A8uwPjSgfYjCPqlXJXRjLFi Xj/+1CM6CGlVHji8OQM+bz5Vm5BGB0trhvx6hzLgkyJHC89QOshtft3f+iED hptMCgQg++X96ZK6bO8MNJ6i1qw1UsadAXU5+o9dkmQAs4JRP/e7eDjkaXOl VooB6Iedj99A2Ojb5aVnhxkg7tIrC4l7eHiqYeL2OCIvfUr51ggg/PF2Hfs9 UQY4eCByyqIVD8vXHVPbr0oH7+pSLnML5sD0dg5C+xk6mJFINljcngN/JgtP nt1PB69syXGX3XJghtnr8CUdOqDJx1w55Z4DY3hOX7t4hgpiu76qLjXnwrHN CabaE30gb/i6TEhsEQy9+eTFj/E+sCae92gnwg9fvdhVOdqD9qcUs6uLyMjH WGXSxdTvWi/Kb6r4NDt2Y+xptoPp1NYLhvGRD9n4a6B3FZfHGYTlk5Jxadtq IIM59OCbWC+omOEXXw6pgfdDGnYJS/eC6zbhb5MNaqC93u9tP9x6QcYdpZIZ 3xqoT1lV02LDAtI4s22HQogwTi0/UdaSBUoKmmz6U4jwxMa5GFN7Friuzt2w OZcIV/e2tz47ygJZA5vkDe8RYd8uv9uLx1mAU+WPTHo01i9I8A/559lkIvTo fr82eP/feRNrEXlxQ9ZiqNkQY/aYO3d0z/WB059s5vv9q+DJS/dFZ29j+9dK P+1XWv6F232r4NY3qb/0wlmovfRXf2KB51U+8uceYxzQRGVvI2B8S4C3haMW 678ksXPVNmomEbYvBpY63MDOx3107HW1AlY/tZKva22wxmbBOhneUOtiXP5I Bxe8voR3h+Egl/ih6bWf6KB+7era+8dxsPkQzd6YkwG0E2T8B0Ixe0TsUTUr 8FQayrsy7pCcv6airBP/J+nq8zTYqcIlTkPk48cRzvGOiHSYehn070DspY30 ntPyCAeG2p3aV8IEUUp6aZaS6RCmSGfEByH6yUViZNmzNKgf/i3/yX3k/Q8M CHmOcIjx9ve8yP686bKshZt8NpT5tPVq/To62KKw68yEHKIPeW29mzpPAzuW ZI/QhrOgAiS8LZOkg7Xjc1GbkXWtR8b2T7fRASh5L2qJcHM4h54FJw3IH0t2 ZgYSICc52SBMmwaehiZNi90mQGOeTZ9u5ZLQ/SJI66eSmHsnuG1kS4+hJUJp 3kMRARadYCwhI1AhOhE+PbJxxOJoJzo/fMU//vlB1Ll9enh4vMWnemckoo8L 5Ci7HMGj8Z5MMR7Lcl086m9+f7zoEFd3NqQRM5rE//Mni2yYGOzIRuMvKrLi RsGI/XOzLUPO/gnyvk43BX0yzkXrc0O79yQ2G+Siz0eBkL7+jaVElDdTuqKM cxMhnT6kLp/EAowgzl2xBUnwMbvDGpI/C/hpX1i0RTiEN9e6IZIFRH1rg/tM k+Dm2EeFMxdZQDN88LkEcnzsjFdS0DUWqJhgvdyAcMyRo55z51jAIHyHkwfy eyv6fETK26ByyzSUm42C/BVmU1EOjT1iKlCXBk3Ut9abvEDku3qh0GBUKpx1 fg6DR5hAy2lroKZVGpSTHbvq3ccEjYVeOnjk+xr0Gy+XIuv3tNlehCLft1P+ Ve2QHBUEPXsocta8EJ3/YsO9vj5+UxF8t9zxivCJAj7XXXJaz1kEr0s0/kw6 RAGJsSc3Ph4pRvNHF1UTM0ib86HKfV3GbnUaUA1LXnWHJx+1Dwd06m0P2qah 3GZCjkr4kYpy1LdfnsX1abCs+zTLs44BhoQdvyw8SIcjD/UClMsZgG+Ribd/ mA55tg8tKDczwOnf5+CvnelQeftvDfMkBlAamr3F25AGFXBzSp9SGEAh+itt vB7rDyKfIN3+2RAP/QKuvDvGQ0ft87/6PiLfP50u/8qJR/Xbl99GDZMeYv0c EhwCVOqkc+Bawcq4rTY0cOB8+NluUjbcGHBCwsqSBorcp4LFydjzFhKOfxeC 6HO2nFF2L2gUIBx05UJrTC6sa+1y1CulgDvpgXkj2dh8zL6c62vLDPOg8ykG Z+cjEvDfeOFaW0kVnD2skCR9oBv1L9XFbO5Yy4tx2NsvP99Pvkb596ddy+er sfVy/TLeunCMnfIO7uZzwPg33e2Rr0gP6B66f/WmOhFqunCcgoI94ME2Ydtr nkQ4sJt5tWesG0T+ueb29iQR9osHn1Wp6wZRqqmcU8pEqH9Hv9LEshvULksX qDcS4SNS3uptdt3g5+ObR+diiFDNvkXsT3E3EMbtYdxtJ0IhEaevP4O7QcbY ZZ+CIiJkzJdt+7gN85eVhOMdrlzpBS9/v1Rr1SFCk8aOfdsFesH20ZqEncj5 NqQ9ujqMfP5UZx/d2YoIea+26695ygThTUOKgaqY/2pK1D1+SD0Lys3t3LaM rF/QrLqjcDcLbpPfdWAVYg/rzF469/VeFhzOm1pIn0TkM/eth8RzeCg/pn87 Zi2yn0nNaCy5IPrCcxviErLuPMXLCijAw0nH0/1XxFmgqql5HdkVDxXeBhy3 28QClM7WzK7zmL3c8NGmPFo3C2U+vB+U+oGHqtZ3+kk9DOAlIbf3+ZMcyLxn 92PXMgO0M9K8W9py4Pg6k1zuNgaQU7be5SRKgB/zipNduJD3P1NvlrIhB9pn XTrch7ALW4b5NMIXLFwKphWZQOrNLyKDNwe1X+u/jbhbIvrKmPKq1YHrGUBQ e+T5Q4U8tJ5xO/FxoYxRHhT7aq+wWEcHTzf+/u7EngflB6hyqwkU4O/veyzH vwKmc/S/yE+lAKOMapxETAUU17wFGgP7UH/0yv6M//Vu/L0H5p+Y9tbseyGE R/2N3UJyNoHI/7tiz7+XvPLRIycbtV9MjWxYguw5aH3G90sdIfqSuXDQ53Sd ryADHDbgU3lYkgsrn7z3Y5dmoPG4v+8nA8xqm76rq8qFtzZ6vEkYpAD2Pb5T oo0VMGVTUc3RdRSgFL0mPF+kCt57L1cBZcmg0uv4JyKNiJ7PQMBCnGJDDhyq OFpdvO7vPLKNyP+F9jPX62Ftys1AeSAuovWOFsY+74yqvlPTsXh/avEvqclM lA8F+Hxw9ce4/OyRjhLuTHiqgCNmKp4GuKwtB3bez4SvFUKG9O/SwH7boqel ogjvHLIqT6cBNrMBVUpwJhT4bVLiV0kD2ZkbmzJ4MmEEaW/ptTAaiMs+oBT0 IxP2a+zJ2TuAyKuXyeOXrmVCH17rzSPTNPClXNyxelUmjPR/cXdsiAa2rz1T FPMuE25YJooVd9PA2VdfFEe9M6Gd/H0XyjMaeIOTkHPgws63zLjr3urzOJSf fBYu3aCAQ+1ZodBNHVlpGDNHxufHGRizXvww4zXD7G+ZrRs3A36MqY093/Rj kf1dbIvA10ka+B2osnjXBA8Fv3gY0Jg0cG6p4tVNUzx0LVE6DWZowJ08FyXD i4eZGQ8Ico00YHUgu2x9Pw5ynqkqP9BJA52d7XCMiUPt9YhLxbZS7Jg937U+ 3efjsWzY7+7rLIDYg2+SFsdYpoj8PvxU9NBHKpBmCRIpx7PhcpHtUb0FGjAX EHwy9zMfCpz1MRe5SAUf+vP2J2SUo/FRtfhmykf/crQfznalDXtAezlkP/j+ a7vj3/7bZuXl8L1KZZFGKAWYc1fxb1Ksgi/n1H6K5lLAKi7XWzesq2CWsFPg owxsfsuKfzB0T9i3bJkqtH/LPM6ZL9+iCqbMTon/vktB69uHhu7xnrlJQfN/ Y1XwHR35ZDD6LLRx1wgRPhTy2b+qhQy2j8OiuxtrIXnTQ/H0Wqw/9N/7SwYh ef3PrpKI6LxE1dM/IxuWiPC529SgWxoZrUdfWbe8vdNAGbEPGjz7Dk4lkVH9 PO1q7v1+buR9+ZieZVKbBX+GhPrMCNOA5D5SHbk6Cz7X3lyw5EwBG13wV9b8 qYQBRo6imoj+5+byOt53Lg+WyE4/DWHRwYOa3xXBxvmo/mcZa06/T85H7cO9 rhH1ujX50OTzw8XPenSQ4WFrf02rANUnn7ydLqedLUDzydJt8HvF7+fDB19u CnGp0YFnx0WhHzfz4eEDty8MXaQDAYV7E57p+fD3eUvN9LLXf+v3vNMgu9Wn vtbbGP+Vd69BkcO6c/yyGG/fK9mSmJ2KssmbfqevGukodyS+IGeWp6H+pk2x 5TdTypJRZlaXNbFZY0xglm52W5UMlwWMbDf10tB+Dk98PpppfKGDL3LSKq3k RFjRR7Jwe0sHn7Q8CT6BiTDE+Wd//VoGeE5Vrb/Zkwg12lePmvEzwMY/KS0j PonQUaowQgaxZ2wJQ1JLt5LgWCwI2jZHB9O0bUf9diXBShnx73rxTJCF59xp sCoJDgGo1ZLDBCeEhOWVixLhmtsH3oaUMgGYvvqZWZQEz8Fe3McMJvie+sHr 16kkCO637bWOZgLtXVotUcjxewDHbZFA5PjPX8JGixNRf+Pyi4JXPcjxaPxo +61dVsjxIscjIkIDe/7+33U4uHP4wnsvA4z/Pg89YDx4sik7AWP6t8G+JTOM I1RO17lK4FHW7YkcNBvAof5BizLdY+TUdJQrJ0x6Lqimw/HOO62PmXRw/nzi bNgrHOz23fU8iEEHSVWuzcfY8NANf2bUsJEOIrkkivRase+7skz4poysV8Nw ko7qv/htMwFWnNGnd2zFeGW+9/xenL9RDca/Pb5fLzyLsfkIr9Q4Zy5UjHn2 2WKMBkpbLpZu98H8lT6qyr1VN7PhBdLsrL0GNk9+3XdNvzXCGK98X0//jYTe oxhfqdz+5uhwHso4byXzTWX58H5Z3IaGHWT0+LBeT8U1M9j3rdQPc6+pzNmj jHG8o2xZYE8eyqU34nlkUvIhoyD2WNYyFSzFPD/ePESAHYKPz/PNUcEg/2Hl imGsP67XyMUoI5V8mOcd8n3bH2y+98r3kUL6ziydxVhLJuj7mBM2j3j1dAHg f1cIaf/Th6iAfG3/n7m0fFh3hqt0TI2Kzns/3z5qdDqWjn7/inzBqTXuLVxd BDfITDRKzjDQ+fbLbqY6u+6ygGrb6DfSQCFUlfsNL9xnocf/1a8oYPRB1Rqn U0Xwo4mlzB9IA8LBfr5uXYWwY7+x4qXHLODDRv3l87YE2jpvDMlH7MH0w3EL jUElsLHl3IXZCho6/3Nlv/2q6jZ5uroMXj3LQ5A2x+aVruR3TliucuIZLoPE 3Iq0ZiEqmI5LKLNTKUev/35AzDrtXeWw2C6j7IA49X/yOZW7HKo37tt0sp2K zmdcsYepNfYWx8URVWk3YT7xATY/c+V8TmxVis1+j83vvJQZMMWuXQGrll9A ymU6+nnyWnl+Ag7jlf/3ccvy9q3D5SivU+fcE/B/1jvEfgTnXKyAayssrnI7 kIFNvXlW6rNKyBI4HD24lQpeTIxH3y6vhMGbUz+3zFFAikuq0KV7lVD18bnd L6uweYYr18Nx5nuW4FGMH3wvCZCLqYQnGD/W6OVh8/hWrsel/koH7hTGD4sP WH+LqoQ14kpPdAKx+XUr5zunf8GcrosxbvXWOA0vjNX8F9ve4CvRfKXrQbi7 Go1VsFXWaMSbTkHnm63MD3g+pF1Qn4xxoE+VQMbbKujRais6UoXNQ1u5HrvO R286wzE+oh2zONqA8VmeGaGKb1Uw38psQiWZhh6/cn2nRwR3bw3FuOJM1TOn Kowjuh1Ifm+qoKHmNNt5GQo4pNGWVKhYA+OptvpjP/tATLE/Z99UNbzymufL e14KeOFYpvySuwaeDnP/nvoamxe1cj0tgjsML3RjLD9bfs97DTbvJW9iMiJd tQbOJTV+nEjH5iut+8l7y6Ae45Xrk0hcfPa6FGOCwdYqOuv/zGsK0PfKZMPm pch6p38/t6cGuvYfCdr5b97hf983X2H7KrsS45XrP/L2mRURh3G+hv3o2RaM ORNXe3OMYdy3VPdda9P/mQ+S/ujFvj1Yv6HWch0quyERDiY8f5S1vQ84HF9t YfGlBj5YZhyKVe4DSvneq744EKF3zcm0zch6lmeF4gdNIswtMJ2h9vSh9aPB McXim79jvBLfe8j1obx9CpsnFPtmh0Twbmw9vndp8uEZIjzm1Ocg/4SCHv/m /ffVG+gYr9yPV/IVIGcGuz+fbdYm8Atj61tjXvFZ6mFcxzwqVHuVCE98sz9g mYzNnyEJ9PAVVWG8cj9MUn8WPh3H7g/b8cTL3zix9eYh9Xs79mKswohsIZti TOh+vzbs+oo+ygK8Kg/2dbtgvObpnIfXTSJMXbX+u8YdrH/+FZnVfgcSMP6r X3eBuWLiFjujNJQXeh50cVamwvKli+GvXbrQ/vfHDvOInFPHeCystvzHJoyn UniPdrZg/Hm74SPBeIxtH86OPN/RBZYLlT0jHqfCkUibyvo1XYCmlsI2YZIK 9wstmNsd7gJc+97J2hWlotcjnJZipumYhvLIy4ZTB5dSUX/lvROxe2Qd0lDW +9660+Entn7z4t0je9vS4A/xdpltlQwAt2dQ3MNw0PRjtE3kcwZ411X0Ixvh ax5FOsE4JvCPbeK48hgH79EjCo7hmcBiM/mkH8JnUvzlXvqxgNdXibGlizio HPDgKLcTC9Q8Oa4wsRsHd5Wsl6X6s0BCZ0++nisOyguuEZh5xAKODj3KkXtw 0P6XaqnsBRYImHcihOYh9poSAdq8ogPJa6k9A3uy4WR2ptFQwX/9RMKO133P glXmc5fjmxggiDRgo7SQhfrP43qPSy+IZqMs6CrC8dQ7G6aPl29nOrLARHL1 rHteFnxNHy5yjmOB08riJblVWXD9yLY7bd4s4Czc9lZrDaZPXSOHFQ37E+BQ 83Hlkwwa4Kgcih24RYBMAZZK8hca+HF2ze6ryPr1SWuz3A46sArh4/6UjeXH GJQNy+0PwnhAmeVm+oMAzUQLy7bHMMHnF8LDW3wJsDjYSv/tDBVwddM7szbk Q5ZkVZ3CKhpoDMiaCdmYj9qrpDmn7fP3C9H7bVV91KNRoAS9n36mFvL6F0vQ eHOLqJd8S1MZPFYmP/dBEJtHv6KfvMSLq3YYV8K6E04cGw9S/tprhytRfWFm w8F+Tr1KqNFmzb93DouHPp9fQ9l3EJvvy/mRjevlZwoo4p//XLS7Ev1+gy1b vtx+Ww0nTmkF5O3D5vnFm95ToTlgTNap+Xl0uQ+8EmO/TMRXw6TgenFvYQqY ye98sPZFNdT4ZLWwWRKTbyv758t2E61gCSI0/Z/9TQIRW8NYUedq4f/MvfMk sMPInWTvtFIPTwYD3OY3zpvWwnfFVPW7Lti8gZBV5lJPRZlgt2XMjnGHDOjQ c8N3Wp0JOC8lF4WezYDP2er4p3cxgcefUer5ngxo/b98KArA15Xe2N9fBDXY 51bjnyL269idvDaEK5vtLFyqKUAq7tM3/EARzFh15NRzs06w/3xMq9+VZJjY EWw8nozFR2FKvbkVDxME7cVf2seRDJuNaweCVzFB4mbjB5rVSfBAo/Xhm3JM sJMUTI7fiHzew/xa3kYmEF37/QylLhmesOMvUhVigqu6laLvzyXD0IH8AVd/ Orh8+MiD3X4Z8HT8/nY+RF+JP6AiODaSAfdfmg2VcKMDvUP1b6m3M1D/5JbQ nWycZpkov9inx3vlLbaepS6z9ppbBqz6tRioZUsD3PbDe/zweCjq8TaTeIQG ysgMAdvzeFgTpyIX4UwD/Z+f9LZnIvYRWLf5uTENWHX8lpn9gIeFLZWrd2gy QIRrGlm7DQ+Hdo+dddVnAN7gP7p4hO8pFMdlOVPBmTchQ+lrc+CzgPV+V8Kp wP6FnzruZzYM2KEi3euK7B/VlqreJ3PgHrOW6GUTxD7jmmRTuZoDr1y23mbs QwWme0bu3azLhcP4DUETMVQQfX2SS/dJLhr/HiqmjM0YFcCtOpdY7BuwfoMO F959ay/pA2rU0OXLZ0vh1PhFlZ9VfWCb/4EX/DalcNCNgzk2ivVHDau6dk78 Ewm4bOESP2VVBScCWXsf3ySDsEjOoaw9VTD9vqxzkx8Z3HhmdtlWtQo+zG/N wa0ho/lc3yU8zX+zkQHsAX69MtXwFOvHptuvsfWDSzsOajaQgR+3mVujUjU0 jyvX29TWCxg5bY5CtTUw0vS7rYUPCc3fCEpPmk+YwfJJP7r1fRya7QXj3mMz IuVEyPdV+vLuWhKI/5Z/ILoC2f8Vnhp3dpNApbVF5M18IgR6NltjNVigWUb3 Mj+y/rJvTs3xIAvcF4waKG0mwp2KfHzXdVjAInndcHMPEU71phSKy7LAjdfu qmdKiLBSu/uD4T4WqBTlMIt7QoTCptInvvHR0PpviYaUC7/C/82fsS2Gr4au trmCPnAzxvKt4kwl/DP4rC85kIzOX1vJnxCdz28Oi6uB5x9fUwpE9gsevuci wgK1kH1pPqrOgQW0LdVGr3PWwn3iu7pjFFlAKzLBejQ3EbIz8P1v1JDPW9/6 8wThTFcjJQsZ5PqsZ5a3LGP9IM7fTlqMf5yOso5K5+YK2XREn2E7tG43A4je jbw0YYyD/LvtXwvsZIDp0d5zywhzme65xBphgDb+5jd/JNLhr4Vc71+/GCB0 wUzeB+F2uz7VpQkGSMn00vsQng5z+90DG22YoOyguYUFsr5JhCvo5zUm2BN8 no+I8OtuUvJnByao3ZRdffpBOkw6bv1m5DAdOD2Ll9j8LgseFTqry6ZMB0NF cR3nEN4gNvYiHtGvuhSb5n8i+8XzV8zl8AQqyH94ZGHuQT6aH8b19GhhnUIR 2n8gOGH/lMjVQrirLVHdKvafPPYphJtWFeWoRfcBPznp6tSpMrT+Ye1L/YoB atm//YgE7BQ0eS5qIPejg3qgoLQDzDS+6ZpISYIXHrx+x13Qgfqn/v5eB2hx C+B/jcgzOznV0yGeDGCXd+iJWmkm9FkGJw+GMoD41zaJdyWZUIT0dUztGgNI Rr3kwPOsxM/pYI8o569n8VmwPtuJI8aRDlqLpIRWdeHgXZ4YGWlnOsjUOZ74 YT0e+pvXb7l5gg7MY+/wn3qNQ/1/l9/mPqhH1tevOuDBxsYAm88PbOQ5jEe/ /weI/GZwD2PazA8ulSN4eNteX+/qDRoI4fK9VxWI9U/aGVD8hx3hUl6RZzWC dFCZiXuW9Cr73/Ui9uKpX6c8OzB9Ys+y1CMVgRwY82Ef/uU+GngWU5E/A3L/ +TuowEZN0XXBKBfdv6964MbFC3PR/59aK8wUu1qC5iNl332y/sRcCdwZ7zSb bE4BrhmP8TYIr8wX96k/Nui/vhRqKB0RaN1IAdo13IckuUrhi8+H9ogoUIAR zmSH+68SqJ64V8NBlAIy9Rnxb9hK4eV7uaJy6hRwkjz4wGaxBPZtMWpQOU4B dgB25CDfv87u3VB1PhloJ7WZp2hVwMRCmdPaFeT/xz9ABomGuN1COyogU45P XJJGBkI32TM/scr/+fvJwPj2nOvTgXL4JxoYdjaR/ycPSlZVQJGv9NGMcRLI pntdEUHs04u8pYdJiLx1FFnV0uuA2KNxJTba30ggNW6hzGu6Cr61Ecbfmvrr HxqhVMFotfR9pAPI/j//xO3TsVrUn5XmzTMRdbIW4qLeTVYcZwFcTt76UdMk eKPD3FDDnAXq246q9SNMvTz05oQuC7DgEbnjBUkwJfbEifpFJogt6JKbjU6F zTsuqeTOM8EQY7U9FWF5MbbH14apYHFLW1+NWAH8UvHmlhqdCiQf4w0DRArg Wy0VvtaLVMCoVfUWtyqEVhtCio8j+9vrg1qJZywLUf/+bGZxhtrrYiigae+V EEABuWE2nse6i/89jyTA551zyW6kBnr4PNYNw5HA3WpdNupsDVw/f3ZxAU8C Mra3Wxq/rdhPJFBXofBElI0IL4wLKezoJIFnrpfuVawhwufWbHuUakjglH2E LuF3DZTXfeirVk4CV0z6FRsMav/5X0nggNphZ33DWriuUCJhLIwG0tWCP76S zIfUiZ/jqf+VnFIf/7GRyocCnrRzcd5//UM7RPPRfuwXpro7OWLz4FY9mWIu OQa45+BbNCmWDDf95tsTKsQAr+Zlk9I7k+Akz6BkE6IPFIR1i2eLJMNbU7ud fh9jgL5NOxS9WpLgLP5hfPMOxD55y3VtuC8Z+kodp9jvQfT/9C2l+TeT0Xza g3ybqv3SsX4PXclZcyVaqZCtrfXmf/MPqgr3l79vSoOz3R6sUgcGMNKyse5s +q+/5cipJg8GWGo9eW/37nSYWm7atjeMAT5vhZbVUulwar/YDSVvBjAsCjUT ikpH/TmqP1Kv1r3C8lGMfuiMBJ7IQu19aJ7vZdCExWPFMpSUbotloXyzssbH lYGHPmsshDiMmSAimrpbaRAPPfeWZ8XpMUGqiQOvXxQOitnJUKUhE6y29SYo d+Mg1Z89tNaUCWbNWV+tenAw4myGzisNJtCWeyJsvxkPE924UxPMkPMNn9bi e4j1u4yW3XYgnJ4LyepW9qM+dDBh8uapyadcWDesj2/yoIPd4mf6Q6IJ8Ann vZtbEH7+lPuK+k8C/F0udmssmQzUnxx1Wn2sGjIjbpuWFpPBntQ2SS/tamhw vYeWaPPXv5caguXj8AZPDSYKr9TbM0DjsNx9NXSdAXYT5P2V/099eoTIw+CC UBzK7+pK7fasxeTxO1JyZsX/qfeulLKiBfli8tb5w1nypf9Tb73zhd5lJT8C /BRI2DhixwTDoXrqF2syoRpX3nnCVSZoX5QC/cRM2G5w9/EtWyZY7/8mLXIr Dvo+urkrDrFnC9WGvpwRLYL7cqSc6q+xwHXfAPYAkyL0fU1tFrtC3Z6H8tna jsEZYi7UbdtVGXq1D6iKDa26WlMCdR51rnXrIQGm50jC0rcKNF4maKKju+Ni BTw2dfbOKP6vf32jaQW88kI/UiQMq8djOO+o7opA5C0biac3ugKuOenHpRXZ C86ryh9cPl4NGUoVY4vUXqC/v2AzuFMNe9kmdYNMsHoxq/q+pwaPSKg+ybL/ uqiEcAvHod9rJKvhYvpywRVEvrhe5OTVXa6ClkdzdzgzuoFkUsqT4xtrYWbB FofQ/m7QlzIS0faJCCeqt8cLcPYADrx/fy+y/uRLmHtpJ1YPdVpKvTHiei/Q 5fSzWZdIhJL+P8fWzTBBZjr/dSGQBQfoeb9uTDHBWucY943f8FA/QahWfS0L 1Ji3LBPm8TA8Axz3lmQByTuT7xgVeJjiq/6DexMLeL+lmCf9wEN+A8KJ09ZM 8LjGsb2EGw/ZNtxKS7nOBNnx8wtLvHh4aGYfGztyvwVuJj9vMsPD4T3X49nY mKB3ZFCVvzMHWmsH/6pH7KeHuT+OH7qQA+2kj5q38zNBmOdv/aeXcqCnNu/e NYi9Rw3wnPRC7AlpPdWqRVEGkJLVEXbRzINZnwge/gcYgFLEbhCO2BfnDZz0 TQ0R+WN8j0e4PRfth3BYWYzj8Z1crD/BJZeQw37I+/d5v5F0IR2EGLtKBPvn QkPvO0daculAhjhtDm7nwgbjhqGFLxTgIDsgmOBeCnkYc97HFv/Gd90iS9F8 odmINRSHzFJ4/r4q+/1oxH6XL32QnVcBNbLpPW2f+kDxZJQvcU0l9P+4U0XC qA/8SV47kyJVDY++4X1u+AvZb4129C/cq4bHd4fvXyPIAoKqrYLqQzjoNLkU TORjgSG54PyWd4h+dbT51zMlZL+zsCrda58N7UfGBi7vZoItDd0/b9tlQxsd ObGriH5pzBv68MTnElTftCdz9D2bLIFDVlSiyO2/8zBOp5XAYQmuM54/SYD2 iHfPpTuV0H5C4Jz5LAkEpdTnGpZVwucWbuo68yS0/9P6FxaMR6FM8HKqrNq5 JwUyVq15uS2WCWZq8/mICqnwmWvUseY7TCDEVnspHFlf6SczYfEidvxRKjyx ZJjyEdnvX8x/maqOS4UnCdT33Mh+37kO9+wbwiufV7u+PkzqPA7lplhJetBu HNxAfi1+/igLhNY9Z4t0wsEPwOZy6xHk/+F70SQghYPaG7WnrOxYwLXG3pji guirQ18Ye8g0kBwwGBNnlQUf740rWk1B9stNhDBSWhb8ou77LPkZDXBaPeJs t8lC67MslWq2mrRmwWeAuCbcmQnGBKW+jzdlwZqlidx79xh/7afrBFj66te8 A7JfJYSejG2+jM2jecE6JfbJuxB6KBakBPVRUX2+1kfd1quaChT5onOMLxdC gbVZt8K7qCAzV1fcFPk8Z1mnxogqHfS3Xnec5SyEZl2Hvx7e+tdfn7NUjPo7 +DVOGBr2FqP+3X2nek8QmMWQ+bUEX0ShgKEhj1btvmKYu/Drk+lqMti2So9k aVQJj/QFi9ER+/a9QG6dhVYlbALTXfQTiL7mwqp9F1gN0y8zBCUQefX8VMmH iZhquO3o8uZgRJ4s7VuU38pWC0PGV8twdfUAPdai13n+Wjh8aMe7ZiMS2u9w JX9H9w+XoeFxrN+6+zrlGxW8GHcrm3r/RuyNlXwjEld+0t4TOCipGrW4O4IO XHQ/rZVoxUPfgZItLeF08L7HEq+EsK287W7TWBoYKQ5IHBHKgdqVP0pOPEL0 nVeDjg3/zev5puZ2icwAG1lckonHcHDbZymBBuR5OZfFqfFNPh0mtBctvLNl Abczh/dGK6TD7DFXQNBngbe+F+/tTUyHDg0WGZuoTGBn2uvD05gJ62psnYLf MxH94plOQ1MmzEtol9nfzQRavGmDozuw/r7rdqSNGH/IQll6yulxTBLGbhmq BYIns9B6t2nBPjejj1g/bl+dO1f5xQnQVlMu9N2Ff/0NmOVwQKXB1cOaAtYT 1IeyObD9qttdJBOaVEFO1RgT8WTS3/3eqxpq7B78uj+FBHzTDpP9kP1HuGWs aUMaCUwQyqdcoqvh9kZC9qFgRB8Vni7jf10Dfew2dwT4k0DCkiixoLEGlp/8 qll4txe8NODad2uZCOUdyEnJ5UzAv+1qtaAQDlqJb+KUJzKBOO79fEldJtzh 9KTd8TUTKF29vKV/x0p9EBMcPuXANoN8/hb/W7vSITqIL71Z1DGchebnaIUx RC5uK4aSpq6mmV4UkOXXq4iPLUfzaYatjMd+NZRDr03vYrd7UtB8HR8hTa6B 1g6AL1Oi5WkmQbOX83cXHMlo/K9Q4H6A73syEFP95BXKg+yvD7OcR2wYwHZ2 9MpRNP+bBP788n5TYFMLdbI/fwER2PO7ot+Y3rYpCUP0xzXrOTimY+nA52xW 2H/8oy+z+TmDDlZp+FQZbcyCGh9O8lsM0IGDpmfiQZMs6Dfc6EpupIMKlbrH Msj6hankxBp3Ojg3LtHWIJsNc5+9Tb1+iw60aONNG+QwfSkLP9AViuin7SLn IwOyaOBIyEJEKsL3bq9/XjZJA6sPSirUI2x2xvVLZQAN7L6m8OmBLwFecXz1 3nIVDWzfH0FgE8yDjq7ewuArFXAubbyZgvBKfOukiuxuX5dqeOSaztWXFmRg vV7t7KXz1TC6lryPoUwGXx9NTa5xrP73fNLAm2iB8+EFudDlhKLJKiHE3t7a 62OL8F9/Lwmc9tDMFIC1cET4d9N+ewrY76hif+NnGXr/lBcgblgEuZ83N/sk X6Sg8e0fbs/nbx6joPHyFfs5aIkqd4xeBktPRUu6fyGDHaE1MQ6J1fCU6Mhi /xgZ9U//lXdkkORoVdqbXQ05XDTajUNZoNjHxRXvWgD5ehJNRsYZwKCkD7fT KQsGXmFf0lhggPPPjq1mOGdB/PfAma6AXnTeTt6pc2m8x1hgy7MpD2U5PCz9 vah+zYIFKvzmVYzl8Wi96slpD7kt0Sv9lBng3GyE+XBENoxhnzan9lHQfhXt 78bv4HZg9V6NUpmd4SYU1B5fud6qah7cLukKqPiEWWzp2gWkTPA+R2RSYTaI unDoZBcg7frqafIhBQq26e4UV+sCtxbhZduMFLj22IVtCyJdYHpDyfHDNikw 3+18cffaLqByXr9Mkj8FWvx+oPUQ1wVsQypW3wxIga/ChoROhXaBA4LP96kf TIGqfAcWRN27AF9hi+PPb8moP+bG3M7ti8XpWL6/XbT/If30f89PN4jL2sRW 54dDucdN3aFgLw4+SNp16Ipo99/54iI4aJ673eLg1GuU37wfNcqswdZl5y5p BgdjfGP9tIKLCcY7ZkqkqmvpYFe/7Nz3g+kwEBw1+vaUDjhHnpV+z0yHAqO+ Rj15iH0knDZjoJkOe7f+vmnzkA4klMlbymA6zCCFumUn00FdpLGni3Y6vHe5 gSMwhA7EUxUjQ/LSUX/OjTWiL5q8VuRxL5heV1zZUktA2S7xHt8+BwJk+2S8 0MDe+ze/aScB2t17GFjd14Myv7aX5qFr2Po3eOWM0yGMV/x7J264/wozyEXj I+32moPLC3lQ8CLO5t7Vv/0j4gh50PvIlw26JzC+O0V+YPIIY5vtY55kRP8M K03MWrszF1YAjuueE4i8dHW6PC2TC5MelL3QIVPAg+wzJSIqudD2EIskzqSA xHbN+Jm9uTDYo/2cgjYLzRdaqQ9q/XH9/qRJPnp+N4xJJ59GF8IR0rmpn1f/ 2S8yhTBG9Yo+lwnGv+udDCoeYbwS37k+y+rfblwITU59u7DlEBldV/rY/dLZ HeOVeW4voxonPHYUwS4DAdp8Qx/afzX5Ojw4XE4D9rFcunp+RXBQb/vxcER+ MgUubBNAzm/lefXDCx1WdyyELOaP0HlPOqpvrVzP98o3/im6JTCYNyvpqRcJ 7Qd9oIbT4LA5xiTqermxZIxXroel2zeau6MEcjR3xtodJ6PrTUl3zaihGIs1 lyrJ9tAAd1QLI6azCM2nveFPFuUcKkLr97VkXRWeKSH6Ob6n6OIbBnr8Sr7d tQvK88P7S6C3cymJ/R4TXZfzDFhIpGK89ph1Io84DWQLCbtdJJfCZJuKG7Gi NKC5KlFab6oUy6fLjN1AL0TkqzVHZtkTOhp/zK/58bPxD8Yr53ci4VmZv0YZ 7Nss+PV3BwNdXzm/Qj4upX0uZbAlsf7txXAmuv7ljs0ZYhvGMbgwha1L2P6d WP5oad0PCtgeo9+U86Icyp8aXzj+DdFvpiVbeNrKUf/saeulHbKj5bDga8z8 zToaqg9Zdemm/9ePfoVXzpeHY4m4ZbEcpl1qPeRRwUDX3x0CGUkjGCvTdvuY rKeCJ/uvbelcqoBu+b9qUyUQfdxNaulhbwX6vnr17FbpTqiE2dKV0n8Ksf63 K/Ljq5b3rRLNSmjg01AUM4HFX6/8wQmzIfdjhVeu52fdXq+yI5WQf4346Ssf sXX+NHH/Nj46yivx3smtxUERD6pg3Afz9J7NVDS+lSfP89xDG+MLGg+TEwQp IDyix1vLpxq2qFVGnFOmgP628ZTC1Gr4e1Hu2ZgK8v/ys8e2nqiGt4oS7bJO UIDUTclooWvVULmorrvlTx+6v674qx1F5/uNblfDdyCWQ+hjH6pf8t3JLMhc RUH9GSuff+p1NfaoQjV6/noTspd7yzDujJ4KYb6vhhnnfnqKsVPR36u+v/nA TzmMX3Mafm4xwXhbLz3ujUQfGn9aiTdPZtVK9N+pgXVqB985kLH5KCu/N90Q W5IyW4Oym2qtbs4OIhTs8lXLnKag88aUpl7ZLSH/7wqDPVXjZHmMPVWUFCUM MV6JRy33Vzy+eBGbj9cV8mye5EeEW8+Ne1I4sfyVqNt/HuRIYqzQc/tVgAbr /3e+F0OerF8tWYsyu/16ZbejGGepWtqxLtTCbDE9suu/evL/6plLU3UTNiLP 8wrvqfQ9nCSG8aITeTpMDeP2rbLpvibU/2ceHw2ocU9fbzqEcU7gurYL1rVw y2cb8tp+7PNH1izGe8/8n+MFU2xH19FQzuncW7UsjLGM435r3v0YCxXbNwb6 sAD/n4Qf7HZEeEvxaijndRao8vMyk7tGhKAh5YjxLRYozxBZuu1PhIMRmy+5 n2OBvQKHlKxPE6FXpo/eq0ssMDZ8fKHrPBGeHq7LCkHstxl5j59x9kR4dpPh sQkTFvCymrMUvESEOryyTrfNWIDCZYfbfJGIzvsDDYDH3CsVdk/p3f2yseuv /kFLhcfXWgjEv+1EOeWLo04cqRNE9+hE951PhQ/ENziHjncC9XBOpn0RVi8n Zx7isTcMB3kMc4cjMhjgqeeJ6zOIvbF06fGTk9kM0HynJHhTGFZ/kTjLLZF+ i/DPnqeBA3w3PvX4EeBDY+lb1u00cI7RK/sF4dtSIsq7A2jofigtrv5Dr5AK 3shzvDDrLYUHTU/iVIuoII86wVk+XgoDL140t0Ts/f+dv0ctOl9IpfC0nIhr LTxVfzah8DANkErWdLoi9qavoafBwzPI/vF4/4ifKAF6hwzcsGuigu2Rhdll QgUwJCZ7OYpBAaIiW6hTzCIo4Cb/qreyE82X+utP6wRtqzVuDvqkQrhXd5/T iw6QIhCe95MnGc3/iRkrH20pTkL5csM92nlLjPsO66/bwo7NVxeccuAfLcHm q4efFl7CWSXBdw//mIXbIvaYyIej5dsy0P2/59i10Bj+DOjGEbh2FJGvWqPh 2nrReFhdxDHdTqYBxdNskj78eNj3g+1rcy8NjL54NXrLDA9LyqqV1J/RwNsB L7cTAngoSHKKuilDA59H5uxfvS+ADekvxNU0aAB8U7Vc+lyAzq9YZXDR+Aso gm83iS/1P6cChQw2hU0GRWh/B7lsPouFvaWoPzobxzVy/ncJ1JU9k+WI2LNz YlsMO+ZLoLiz4Nzd+xQgU8S+rWqpBCqO54nZZ1CA7rbE46/Xl0JxnOd4aRwF 3LFRPfRxdSnq/4FN2684y5fCuQiaCKihAE2GIrvp9lJY1nq2cDaehPaT8FWO +W2/SAKXQp2zmJur0XggJ7sn5za1avj14kZexZq/9SOW6tXwnH9q+PqxXhCO HzV0ikbexwuDu4wne4GKWUbGhyQiXP15vq1IkAVaUmbKmxOIcHngyMhncRbI PueQuj2LCL+otrev2sACzLVDg+/uECEvR66pLQ8LDMp8NLV6iMnLtNk7dyQz ifCrdVKBgQhW7+0klriPIc8C1HQnqVkvIlyvtF+8aA8LSKymp711ROy1tIPH t6mywGapAWN3NyLMsnyn567FAkdf49M++BDhMfN3Gb9VWWg95cr8jvxPj7cp BmHs3ErLn3cnQlyF5rz96X/vv0fiv/UucC4qSTGDmQhPuozdn7ZC9GPtT2wv VtdCnk58j5r13/75wQj3SUz5sysygWWX/ifL/+bxuTwubpJlggb5YJwLwm9U D9tc7kb0vb0Hs3+9zoA7w8Kc3rcywOQ6yqEHDhkwbBj3s6+fARb1zWK2dGfA 2B8y4zJufai9fPUeMWnXUwZIfnjRyEEzE9ZIy1x4VM0At9jpMS4Io/NV+I7y nduQjz5/B1irdufnlEHxRhA696UP9B/33T2fWvavf38nuP+H66aSfxJkfzV4 wX1b519/pmPSv3wCOtB4fDDr/CtsPtPyhtk/Uf8nvnYudQ5MrMXmyc+y1rKf DM3+Zy/TwL6oxuicIGz+kEH9Ri+Xuyv1hXRgFHP0m7RADrx8K36D9TwNyNcM CoshHHno076FtXRgMOPPIYKwWaNvQt5GOghaEtktjvBKPInbsC6i///0h/Et rku2uZwD12+kUX6G9oEb6v69ATEl0GtL6eOTwX3gSopdXFFSCTqPVMaejYJL KIHT1NlP4cw+NP9ls2Ha3rYCMuAvGAoja1Sg/iLjCzoaBCIRJs8kD6jdIgHO F69vppYR4cmHitKOOSQQtnOQ0wNZdz5ZryZoRgIJl8/6Pv2vf8P/4n0kkLh2 MmXRmwhtks1YB21J6PO+Yn+dm6hveLGUiD6fgspuzkJmSSg3js68nlxKRO83 y1B2IvlBPhp/eDEpV6/4pgganKyXjuOmAg7hW7+73xXBG+r9KhcRfSHD/QSA /UWo/KhWS++u5S2CFw8tx39KowDVk6mGTp3FUNZK6Lt3AgUERgc+YiCc1Ebc L/WRBE65Hm4i/Kn5Z6+RQOuekV+D2rXQhBLJNSDDQu2tBGEP9gdSLHBGTlvq dmshVMSfGfJG1hWGjNJv3i2ERwejTSsQNtwxcK1hfyE0iPfrXCfLAoqf6bkR Vwrh11lhD/19fUBIqcnxmXANvOHBbh+7vQ/tt7Gi/+1jSyoo3oXNn1A/utbn hHcSyj6tmp9+iyWhz+9VsjKPpnQyytoW/tLCvdj6tdLVl9V9MWbrX8O9IJmE +nv8P5PYrWXSIb0jXvluMAtEv06Se74rFy4NkC7fuslE61FixcKjLChM0Pzq 2Pfqe/love2bbY3+6xrzIReHjN6HfiZa7zLDaXg4dKoPvN4T5LxHohTa3pLw 9dehA06HkQ9jQ4i9X1vZ0qNKB1yn3c1L+rF58as26KTR50rQevpbhCKplxxY v3aejzvXZW3A+rX3hNYlJ23EQ1Z8/vALZH3P0VjuqhA87G6Uod5A1nfKjNj6 h+LhN8+zZ1enM4B5iclwLfJ+X9huf2wbkQ5meg5ceYq8b7v3FtUl1tJBSbN5 DtlvJZ7NBIsp72zTonAoZynMIRsS1k/64scBH99o3L/9nA5Oa/QbHoshoPWC RwhZHzUfEWDm6Wxtl2Ia6u9Y8Y/mce2bd8/JgyHHGx0cpbD6np30UdquUCoY zvrDoTRHgL98nmiFyiD6+tVSdm9KLiyISjI56E8GcvsnIu3aK+A1j7fjOeMk YJT6ZoNBMWI/mdr0siH75TXfaq1Sg2p4/WaSmxmNCex9rl+8HpaFXk9sayaP NxceppGcclrOMYGwavXWrc3Z0Dt4PXeZJwMcPh3tr2WTiz4/RXNcpZ+f56HP Y/9mTW4+Sh7cLLTltyJij6uHXYnSzs37Fy9C7sdk+MaXaXno/1FnVU6S+k2A iUcSj/gLU0HT+mUPuLcMnlXZ8+EtYq/+730IQPgS1SPsDPJ+6ycuVLNVQr2+ J1e8zShgj3ESh6JA5b/fZwG/BP6XypJY/ffhg8G4TdpZ/54fJljP7lg7W50N VaNXE79bM0D0j5Th18dy4W+cdsDSBQYg7Pt56rxFLvo+iMX9anljkgv9bpRN z22jAPcF4QtGtCoYVEiYub3ch/ZDXbEPvb9xPB+gV6HX2/7e/GMIGx6tL7sq 6DczifBf/y4NaAdNnD7hk43qy4p2OwU3+GbDQt2K9ws0Gtg0bN+pqJOP5lvP G7UtFSDy7PtoXM2TQNZff8PXQsgp4LJamkoBqcWD8ST+ClT+yVyfd1JSr0Dj Z3yrbgV3z5ZDhxcpwnZvKGj+kzv3487vmxB7sVf2oJVWNQQ3lMdSkffV4a4/ veV8NZxpcnHvQK63YEzrHrdZNfzMLRVHl+4DES8CRz+H1ECZ7dKxU5EskGPC k/sJ0TfW8H/dJZHAAk0N0qmyiL04v9Pl6G7kfJWONfNW+mL9carON1Wqe2L8 PvPpy8FgIkxcnepxaZwCBI6JfSsYLofSnAJfdhM6QC+vzcCwZzI8UEr08Erp AK/g52lpXDLsas1m5BV3oP1zVvL/pj1KJxjOyej7qKpptzvwVgbKcnNHJbZs yYB9rTOmIzfooGLt+aMveDNg1FfHCPFgOqivMIj5xJ0BZ26lKj1U7AV4yz/T G35XQyN2LR3ijV7wJiWhd/NSNZyXPa0gKNMLQFiJ0cZ9WD6UkJKqomABpo/p Np2bWleLseniz51HHmFc8P7bK1UCsp8q061PIuzy2iB5D7Jeovg4N/IACwgs Z4cEIvrnyvylVqNhY46MKthxMEJyh30fqg9PDTzIjr1HBlu13pY+taqGA180 KerJZNSf8ff/JoMAmd6oNxbVMPKCrI2FJ/l/8ube2WoIf0SH5oWxQH37S6n9 iP7LXVf53ha5P5wyAk8P5xLhlFrwSwNkfzh4ns1MIZUIrcW/iW/wY4Hwuhtq jhtq4diSX6jONRb4U2bxsOoXEV74n/3CAq+C49wl1tfCGlbnpxtumH65ryPu ya+LLFCd+0WNl70W7lpHM3ybxQTcj764Wz5Pg86vOk7NZjDBjsYNh3UR/qsf dQC+VoLLPb8kiP8cnSxa9Te/HYYnQcn2X+Gd0SxgX+ZfNExIhCLbPWBNPAt0 3ya8PIXoFyN8JcGyISxgNxfoOIOsT0UK6FrWMEH24LeP70+lQa7Dl0BDNRMo yoS6JnxNhcbWVccE2pgg5X1Qkq1lGtwz5vrqkwAVOOY6rOveVATDxYdxv7ho wJLjsxobRz5cdFT44faEAWq0wrderUuDb6dcFE/WMADZKEE8EWEehvXMKpdu YKh24+JTPSK8bBnccSCqG7F31ib4GRFhAofW5PWz3eBB6/6IUVcidJzmvm4q 0As0twxuvKdEhNMf+YQHt/UCt4ZLZFFL4j99mAkMImLn3A5lwW91OaqPqUzQ +1HWfadGFqTGHEhOQPbrnphqox8HV+K1TPDnzrO7lkXYvPFVPzTrc59j+SRf Ag4cf/Q7F2Y3J3EJP6cDc4vEq+N3c9H9OHZWZOOf3wXw4J8jd6q46Gi+NbnZ 7GrOTjpwKPB66P21AI2XSp5xMY6axKPnyzvUUbduBg8P1NzQrBujgcr6Iacr NBx8drxgXu0NDaQ22px6QsfBPyGkQPJaGjgbQTjopo/Iy6MbdQzW04DycS4l Rkw2TDqQLqs6RQWXs20yF4yz4WeXdfPWsXTQErY879KI1esPJb9VI27A6vnv +C9lL4ckoex/iXG/QxnjW1ZVFxLeJqLseyTa0OlBIhrfT1KpuMv7AIv3u51Z NdK/Hus38r2d3Vq6HQdJq8T5htsZYKoqeHRDGw5m7Hk1suEdA+h3nxUfRfis Qne0NrK+/9qq5IB1mD2iuik/KWhvNspfvyXuuhGYDQOshyngPaJPRI683ReA zQ/N6RVa7AgkoPyVL+hD0SgBTmwJldj3iwa0fn7+PfKBAJOsnLhi19BBoM6W V1EjBLhx6sKc6F4KKIOmDsteFTDj6Raeoh0UMOJWPi91rRLd34iCS+9708qg 3jY/LjHTPtBZktIuP14DD+X8uCpyqQ9wFtplBnAQYaXmkbNmQX1AoT/t8Bl5 ItznaBObcYwCvpg7D61fVQyTI2ritL8h71uKuGCPZDGknhuaUPpvXtth1x8a hcVo/ceRzgePPtYVof1dciLPhj02zsTmF7515SQxM1Cu8b8Re/MiIq8DRNbx IM9bG0dkc4ghVl/CXyn1sWs5EeXkgc/u6/IT0Xi9Xt3EW0uufJQLmrqCTkfm Q3PZNFrAAyp4r7CkbY6836/TdapVo6jg2yO30msP81H/R0jUmddxtwpRfe6L /rk8UWECmm/NHsmndiAqD52PqysSKRocjfXHuV+qfJvPKQ3ldBmNlK2rMTbr gz0b29LQfM6CI0GLoRE4lF9GMatMOfAo83yfvCbZhYONpNslU4j97iXxcVku Egd3Xau+J6XKBPWmDZu8X+Ogo44YUVuDCfqvl0xabMZD3+Ozf9R2MsE1zdjb VsjxK7//x5wg+1Y1G+WLz++c/xWSDd99rrdIPs4A+1JPZjxRz4avmYrTvw4w gOD6+K0yB7Jh9TFrKHwCeR8EHPC3HmD5oSmu26+2hBFQdqjbOr8wQ4DLid6m Z87QAbzZbvvhIQEOclq+W7SlA5WgQ1cvfyeg79cFk8s5C4JYv96Muui3XWTk /fvy0o2/hwFY9gWGDduyoBfXaolGFgNYH34dRxXA8lH6v0QKm+pg869KHgRN m77KhWutOrVX/zfvt3PZulEjD5WX3E02TbXfV/p1MUFGet9008Uc1L7NOtWv dDsbh7Im42qA1UccNFSe7DmgzAJcw7anlT7gYLejqKSwCguomVl0On/A7AeZ 9+47PLZg/bKf7FB09b2QDRVNeKny+kywdjSi9JRTNvS9qctONWICfjWLX6LO 2Wj8XvrJidaqQQKUzBK4xGbJAH7Px1zL+whQ2rfkKMvl/yvqWoOauKJwh4oN UARxBBVsI4SqoKG+hULuVVPLa0oCJUUlShUQYyEREA2+INUIKqAoQ1BgdDWF GAI4ZNcirVAEqyLCrhJYqrxRlNAwoCA2jt0KbH6euT/27n2c+53Hd04rWGtz /2sGaVrvpoD+LS+BCg4+lfj+QdkH8r+E/e58LY03rY7zLUJXmvibbW48p07c 1F/1FmOxRJBzCdb9cPt0QzsBWL5yM5v5Jv760gGVf166Gko9/175yf0Wmu/k HWnJPkbhTeenDi6zM7RwO/5njrSyBTA0nfqNyUpYLTqVWFXbAj6wIR+h5Gl/ XsT7T8Pa+BU0fj6yPfv5z7wr0K3gpKyjWwes9s78fnP9lan7SwBnSY9FdokG lka9EnrENwOGsMrpUzU2pc+fgKAjBK/sVDGNBxF/P1HiOyW8WXZZ2GAzFZ95 VgqVArWZsYkADJe2CMxbC2tc1ngl6Akg2C/YGz9HCxdGv9YNd5nqZU/aHwQI rOUIzR2o8UdJV0tf4KByT4p1RgoKWU96V283J0CvzmA5FobCrR9SE6yM+Md8 S00UOuXvIMC+u4cPxUWg8PDd8ryiezrAyrhZz2zNhcreUltuG/UeLbVL35Ga C0Pw/WVrCer+/CJlNx1VwMCBmBPMOzoQNM+oMbgrIDHrS+O3Wh2IXS6o/LE9 F77NKSpIU1L7H+X2fkd6LhQPeFr2+RAf8V/kTIzmP6nkHEPeugqINMpLZQtI cNJ17jpuUS6snWC16pgk8BIfkKyl9KnO0OEgmk3Jo3XBh6jxRbKse5HcyXxK nQiDj+zUHOOGVnBjRX7rmvp8OLGiI1BDyU+5Q3Y+lCzL8tL7J+J0/fE54bcv DmY1A2bzDElSNwqNq0L1jpkkeMAY7+mizhtfHW4AOA4UrWIDj6ml99OV8Cjx syiG7Fj3MyPROMjkhPYF9JbDggvrB7yLHwPpRGK2fL566jw9Bi92j3P95qrp 98CspOp3NNtUP42zHlHF9SPwdb1vw4XhNrAsKZc9nIHAoZdb7VlmJOApPIaV 50x4SmC+MAWDCO0/EjbaeOaXYdDiTcZK96UE2PBPSDP3swpYPWD5IHMnCcqS rJWsAQzyg0OOx4pIsCStOmF0xISXC8J6LruNYfBGja93RQIJbjTWRisGKfsI O5c0KiWB0f5yV/FzCv8R7PPOFP6ero80mQ9AgmcBPs4p/2JQWldcOSuOBHvy ZhRaUHg7ddDRPNOJAKnd+nYQr4G27ZjZ8p9IwHzEVoW+w6C8aJe1uKUZ8IKc +o6536T756S99Vs8f1hN+7evF96vY/khEAk6uqtnEQku5djbJisQuOm03cE7 ViTIvPrO4up5BG5zHXOI2TfZ/3nvEDXfDTsLbcUkiGhK3bjZgMG5HirMUUmA 3zBGpzBZS+dLNPS6PI8TaOHDJSHx81Sm+OxG56GMs7dw0EAUnmNWoTS/px+1 7gi+iMKsmJgXkts4zU8sSu5z5G0hwVt5fHg69T1ZxVBqN58ENa4BwbI31Hqh PgfHt5nmh4nrdjdGkeCEiFNzjVr/0YCH4bHU/9TPG3JczUXgQo/AGhtnElws 6fO85IvQ/ofHXu5p32xGYHd5Vaj+jCnePM2nEi37Trw7hdIHXctrThXidLx1 Wr/5RyKCkWoUSivMnHruEECxP3fVlWv/25dHKsc6CTA8smDTigYt7f/uyfmi 8K5MC3991cTwIggwltfh+NVZLYy2Gyy378BBn+bzAy8HUchp7+ax3+MAm3E9 LN8eo+tta0K81rAIFGqax0fH9TjwlrRMuLWh8D9kyCJL "], {{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}}, {{}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{12314, 19606, 8913, 15496, 12272, 19336, 19337, 15400, 19334, 19333}], LineBox[{19786, 19829, 25186, 25185, 25184, 25857, 25856, 11255, 22523, 25422, 8875, 19830, 8874, 22719, 22720, 21885, 22718, 22717}]}, "170000000"], Annotation[#, 170000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7589, 25107, 25824, 25823, 25826, 25825, 24638, 23617, 25640, 19571, 10837, 19824, 10836, 12306, 22522, 12305, 23985, 10894, 21884, 21886, 21887, 19608, 21883, 21882}], LineBox[{21926, 21927, 19584, 7742, 21929, 15399, 19619, 8801, 19335, 12271, 15494, 15495, 10890, 12315, 19604, 7712}]}, "168300000"], Annotation[#, 168300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7711, 19603, 19605, 19838, 19837, 10891, 19581, 19580, 8800, 19620, 10939, 15398, 21928, 19585, 24094, 10849, 24087, 10937, 23870, 10936}], LineBox[{11260, 24707, 11261, 24708, 10893, 23986, 23987, 23984, 25699, 25698, 7669, 19569, 19570, 11245, 19572, 19823, 19822, 19820, 10683, 24639, 24641, 21587, 21588, 7590, 19787, 19720}]}, "166600000"], Annotation[#, 166600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7651, 19538, 7654, 23866, 24085, 23869, 24088, 24086, 10848, 24093, 10940, 21793, 10938, 24090, 15396, 19577, 15397, 10843, 19607, 19835, 11258, 19834, 11259, 19832, 19831, 19798}], LineBox[{7655, 19406, 7656, 24706, 21763, 10892, 19557, 23983, 19556, 19783, 19819, 11243, 19825, 11244, 19821, 10682, 24640, 19416, 11221, 19790, 11222, 19793, 11219, 19721, 11167}]}, "164900000"], Annotation[#, 164900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6492, 19928, 15582, 11168, 19725, 22743, 19402, 11220, 19794, 19789, 19792, 19791, 19415, 10674, 23607, 23605, 24686, 24685, 11216, 19558, 10827, 23982, 21762, 21765, 19405, 21761, 21759}], LineBox[{11237, 19799, 11256, 19836, 11257, 19833, 10842, 19826, 10841, 19576, 15395, 24089, 24091, 21792, 24092, 21789, 19553, 10847, 21756, 23868, 7653, 19537, 7650}]}, "163200000"], Annotation[#, 163200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{21750, 21752, 19536, 7652, 23867, 21755, 10846, 19552, 21791, 19550, 7671, 21787, 7672, 25159, 19575, 11246, 19579, 25849, 19578, 10834, 23854, 19801, 11238, 19563, 21778}], LineBox[{15991, 12704, 15568, 15580, 19927, 15581, 19724, 19723, 9001, 22744, 19401, 19788, 10673, 19784, 10672, 23606, 19399, 25106, 23831, 10826, 21586, 10829, 19407, 21764, 19404, 21760, 21758}]}, "161500000"], Annotation[#, 161500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7667, 21779, 19562, 19800, 10833, 19817, 10835, 26033, 26034, 25850, 26035, 19582, 25852, 25853, 25851, 21788, 25160, 21786, 7670, 19549, 21790, 19551, 23873, 23872, 21754, 21757, 19535, 21751, 19539, 10817, 19529, 10814}], LineBox[{10824, 23826, 10825, 23828, 10678, 23836, 10828, 21585, 23833, 23830, 7587, 19397, 19398, 11217, 19403, 19400, 9000, 19722, 8999, 15584, 15567, 12703, 15990}]}, "159800000"], Annotation[#, 159800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9184, 15994, 12702, 15566, 15583, 15569, 9003, 19412, 19413, 11218, 19411, 19408, 19340, 15561, 7588, 23832, 21584, 23835, 23834, 10677, 23827, 23829, 23825, 25684, 25683}], LineBox[{10813, 19528, 10816, 19547, 10812, 23822, 19540, 21753, 23871, 10821, 23861, 19555, 21784, 23865, 21785, 25685, 25686, 10844, 26037, 10845, 26054, 26030, 26029, 19583, 26044, 26043, 26031, 26032, 19816, 19818, 19565, 21782, 7668, 19803, 19764}]}, "158100000"], Annotation[#, 158100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6494, 12406, 6488, 23824, 19918, 10676, 15563, 21583, 15560, 19339, 19410, 23615, 10679, 19785, 10681, 19414, 9002, 15587, 8995, 15571, 12701, 15993, 12707, 9188, 12725, 20070}], LineBox[{19541, 19543, 19527, 10815, 19546, 10811, 23821, 10823, 21749, 10820, 23857, 23860, 19554, 21783, 23862, 23864, 26052, 26051, 26053, 23801, 26028, 23803, 19567, 19812, 19568, 11242, 19564, 21780, 21781, 19802, 19763}]}, "156400000"], Annotation[#, 156400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7054, 7570, 19286, 19521, 19542, 19526, 19548, 19545, 10810, 23820, 10822, 21748, 10819, 23859, 23815, 10839, 19514, 10840, 23863, 19573, 23802, 10800, 19566, 19809, 19811, 19808, 11241, 19814, 11240, 24682, 19804, 19762}], LineBox[{20069, 12724, 9187, 12706, 15992, 12700, 15570, 8994, 15586, 22742, 22739, 23611, 10680, 23613, 23614, 19409, 19338, 15559, 21582, 15562, 10675, 19917, 23823, 6487, 12405, 6493}]}, "154700000"], Annotation[#, 154700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6558, 20073, 12723, 9186, 16000, 7997, 15576, 12705, 8993, 15585, 8996, 22741, 23612, 23610, 25639, 25638, 23616, 23521, 10600, 15565, 25471, 8989, 23609, 19916, 19920, 12404, 19932, 19930}], LineBox[{7053, 7569, 19285, 19525, 10804, 19544, 10809, 23817, 23819, 21747, 10818, 23858, 23814, 10838, 19513, 19574, 10797, 19796, 10799, 19805, 19810, 19807, 19815, 19813, 11239, 24679, 25847, 24681, 24608, 11196}]}, "153000000"], Annotation[#, 153000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{11195, 24607, 24680, 25846, 25848, 24683, 23513, 19518, 19806, 10798, 19795, 19797, 19512, 25151, 19509, 23856, 23813, 23816, 21746, 23818, 21741, 19311, 10808, 19292, 19524, 19284, 7568, 7052}], LineBox[{16290, 12973, 15969, 12720, 20072, 12722, 9185, 15999, 7996, 15575, 8998, 12718, 19923, 22735, 22740, 22736, 23520, 25621, 23519, 10599, 15564, 25470, 8988, 23608, 19915, 19919, 12403, 19931, 19929}]}, "151300000"], Annotation[#, 151300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9005, 12416, 9008, 15597, 7892, 22734, 8992, 25474, 8987, 25469, 25041, 25045, 25618, 25622, 25620, 22738, 19922, 12717, 8997, 15574, 7995, 15997, 15998, 12721, 20071, 12719, 15968, 12972, 16289}], LineBox[{21462, 21467, 7567, 19283, 19523, 19291, 10807, 19310, 21745, 7649, 23812, 23855, 19508, 25150, 19511, 11234, 19520, 24670, 19517, 23514, 23512, 24684, 23507, 24609, 25821, 11197, 25818, 25034}]}, "149600000"], Annotation[#, 149600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9302, 16293, 12971, 15967, 15971, 12730, 15981, 8000, 15996, 7994, 15573, 15579, 12716, 19921, 22737, 19924, 25619, 25044, 25040, 25468, 8986, 25473, 8991, 22733, 7891, 15596, 9007, 12415, 9004}], LineBox[{25033, 25817, 25820, 25819, 23506, 25612, 23503, 10597, 19516, 24669, 19519, 11233, 19510, 25149, 25835, 25153, 21738, 7648, 19306, 21744, 19309, 10806, 19290, 19522, 19282, 7566, 21466, 21461}]}, "147900000"], Annotation[#, 147900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{15589, 15592, 12414, 9006, 15595, 7890, 22732, 8990, 25472, 8985, 25467, 25039, 25046, 7060, 6491, 19926, 12715, 15578, 15572, 7993, 15995, 7999, 15980, 12729, 15970, 15966, 12970, 16292, 12977, 9306, 12996, 20184}], LineBox[{7057, 25036, 21470, 23505, 25611, 23502, 10596, 19515, 24668, 24672, 24675, 24673, 11235, 25839, 25837, 21740, 25152, 21737, 7647, 19305, 21743, 19308, 10805, 19534, 10583, 19289, 7565, 21465, 21460}]}, "146200000"], Annotation[#, 146200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6607, 20188, 12995, 9305, 12976, 16291, 12969, 15972, 9180, 12728, 15979, 15974, 11494, 15954, 7998, 15577, 12714, 19925, 6490, 7059, 25038, 25043, 22722, 22731, 22729, 7889, 15594, 15599, 12413, 15591, 15588}], LineBox[{10591, 15394, 10595, 12270, 21464, 7564, 19288, 10582, 19532, 19533, 19307, 21742, 19304, 7646, 21739, 25671, 25674, 23805, 25836, 25838, 24674, 23516, 24671, 23515, 10598, 23509, 25614, 25610, 23504, 21469, 25035, 7056}]}, "144500000"], Annotation[#, 144500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6499, 12420, 6496, 12407, 15590, 12412, 15598, 15593, 7888, 22728, 22730, 22721, 25042, 25037, 7058, 6489, 12708, 20060, 12713, 15956, 15953, 11493, 15973, 15978, 12727, 9179, 12975, 15986, 8080, 16299, 9304, 12994, 20187, 12991, 16267, 13200, 16578}], LineBox[{7055, 21468, 21473, 23511, 25613, 23508, 25617, 25616, 23518, 25679, 25680, 25681, 23804, 10801, 25675, 25670, 21736, 23811, 21735, 19315, 23800, 10588, 19531, 10581, 19287, 7563, 21463, 12269, 10594, 15393, 10590}]}, "142800000"], Annotation[#, 142800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{16577, 13199, 16266, 12990, 20186, 12993, 9303, 16298, 8079, 15985, 12974, 9178, 12726, 9181, 15977, 11492, 15952, 15955, 12712, 20059, 6554, 12734, 22746, 22748, 22727, 22757, 22752, 11401, 15607, 15609, 12411, 19936, 6495, 12419, 19952, 19949}], LineBox[{10589, 15392, 10593, 19329, 12267, 19303, 12268, 10580, 19530, 10587, 23799, 19314, 21734, 23810, 25673, 10803, 19504, 25591, 25676, 25682, 25678, 23517, 25615, 23510, 21343, 21472, 7002, 7516, 19024}]}, "141100000"], Annotation[#, 141100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9404, 16582, 13198, 16265, 12989, 20185, 12992, 16297, 16296, 8078, 15984, 9183, 12988, 20065, 11497, 15976, 11491, 15958, 9174, 12711, 20058, 6553, 12733, 22745, 22747, 22726, 22756, 22751, 11400, 15606, 15608, 12410, 19935, 19938, 12418, 19951, 19948}], LineBox[{19318, 19322, 15391, 10592, 19328, 12266, 19302, 10586, 15372, 21454, 23793, 23798, 19313, 21733, 23809, 25672, 10802, 19503, 25590, 25677, 25594, 23414, 23415, 21342, 21471, 7001, 7515, 19023}]}, "139400000"], Annotation[#, 139400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9025, 12433, 9028, 12421, 19950, 12417, 19937, 19934, 12409, 9013, 15612, 11399, 22755, 9021, 22725, 9018, 22750, 12732, 20062, 20057, 12710, 9173, 15957, 11490, 15975, 11496, 20064, 12987, 9182, 15983, 8077, 16295, 8084, 16279, 13001, 16268, 16264, 13197, 16581, 13205, 9408, 13225, 20285}], LineBox[{19022, 7514, 21341, 21337, 23413, 10463, 25593, 19502, 23808, 23806, 21732, 19312, 10796, 23797, 21453, 15371, 10585, 19301, 12265, 19327, 19332, 15390, 19321, 19317}]}, "137700000"], Annotation[#, 137700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6648, 20289, 13224, 9407, 13204, 16580, 13196, 16270, 9299, 13000, 16278, 8083, 16294, 8076, 15982, 15989, 12986, 20063, 20066, 7109, 15948, 11495, 9172, 12709, 20056, 20061, 12731, 22749, 9017, 22724, 9020, 22754, 11398, 15611, 9012, 12408, 19933, 12422, 15620, 7897, 15629, 9027, 12432, 9024}], LineBox[{19021, 7513, 21340, 21336, 23412, 10462, 25592, 19501, 23807, 10795, 19047, 10794, 21459, 23796, 21452, 15370, 10584, 19300, 12264, 19326, 19331, 15389, 19320, 19316}]}, "136000000"], Annotation[#, 136000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7047, 7562, 19237, 15380, 19319, 15388, 19330, 19325, 12263, 19295, 19299, 15369, 21451, 23795, 21458, 10793, 19046, 19507, 19500, 10461, 23411, 21335, 21339, 7512, 19026, 10451}], LineBox[{15621, 15624, 12431, 9026, 15628, 7896, 15619, 9015, 12438, 9011, 11402, 15610, 11397, 22753, 9019, 22723, 9016, 12735, 22762, 8005, 15965, 9177, 12742, 9171, 15947, 7108, 6557, 20068, 12985, 15988, 8082, 16253, 11565, 16272, 16277, 12999, 9298, 16269, 13195, 16579, 13203, 9406, 13223, 20288, 13220, 16555, 13408, 16843}]}, "134300000"], Annotation[#, 134300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6505, 12446, 6502, 12424, 15623, 12430, 15631, 15627, 7895, 15618, 9014, 12437, 9010, 15603, 7064, 24881, 24879, 19947, 9023, 22761, 8004, 15964, 9176, 12741, 9170, 15946, 7107, 6556, 20067, 12984, 15987, 8081, 16252, 11564, 16271, 16276, 12998, 9297, 13202, 16284, 8145, 16588, 9405, 13222, 20287, 13219, 16554, 13407, 16847, 9503}], LineBox[{7046, 7561, 19236, 19243, 15387, 19260, 8799, 19324, 12262, 19294, 19298, 15368, 21450, 23794, 21457, 10792, 19045, 19506, 10456, 15154, 10460, 12196, 21338, 7511, 19025, 10450}]}, "132600000"], Annotation[#, 132600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{19967, 19970, 12445, 6501, 12423, 15622, 12429, 15630, 15626, 7894, 15614, 15617, 12436, 9009, 15602, 7063, 24880, 24878, 19946, 9022, 22760, 8003, 15963, 9175, 12740, 15951, 15945, 7106, 6555, 12978, 20173, 12983, 16255, 16251, 11563, 16275, 9300, 12997, 9296, 13201, 16283, 8144, 16586, 16587, 13221, 20286, 13218, 16553, 13406, 16846, 13414, 9507, 13435, 20377}], LineBox[{7045, 7560, 19235, 19242, 15386, 19259, 8798, 19323, 12261, 19293, 19297, 15367, 21456, 7051, 23791, 23792, 19044, 19505, 10455, 15153, 10459, 19054, 12193, 19036, 12195, 10449}]}, "130900000"], Annotation[#, 130900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6687, 20381, 13434, 9506, 13413, 16845, 13405, 16552, 16556, 13230, 16566, 8150, 16585, 8143, 16282, 9301, 13217, 20180, 11569, 16274, 11562, 16250, 16254, 12982, 20172, 6603, 13006, 16003, 12737, 15950, 12739, 15962, 15960, 8002, 22759, 22764, 19945, 24883, 6498, 7062, 15601, 15605, 12435, 15616, 15613, 7893, 15625, 7898, 15640, 12428, 19956, 6500, 12444, 19969, 19966}], LineBox[{10448, 12194, 19035, 12192, 19053, 10458, 15152, 19043, 19039, 23790, 7050, 21455, 15366, 19296, 8797, 19015, 8796, 19256, 19258, 15385, 19241, 19234, 7559, 21449, 21445}]}, "129200000"], Annotation[#, 129200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9043, 12459, 9046, 12447, 19968, 12443, 19957, 19955, 12427, 15639, 15638, 11406, 15660, 7899, 15615, 12434, 15604, 15600, 7061, 6497, 24882, 19944, 22763, 22758, 8001, 15959, 15961, 12738, 15949, 12736, 16002, 13005, 6602, 20171, 12981, 9292, 16256, 11561, 16273, 11568, 20179, 13216, 16288, 16281, 8142, 16584, 8149, 16565, 13229, 9400, 16557, 13404, 16844, 13412, 9505, 13433, 20380, 13430, 16820, 13581, 17066}], LineBox[{21332, 15134, 10454, 19034, 12191, 19052, 10457, 15151, 19042, 19038, 23789, 7049, 15365, 21328, 15379, 19020, 19014, 8795, 19255, 19257, 15384, 10566, 19240, 7558, 21448, 21444}]}, "127500000"], Annotation[#, 127500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{9593, 17070, 13580, 16819, 13429, 20379, 13432, 9504, 16854, 8205, 16572, 13411, 9399, 13228, 16564, 8148, 16583, 8141, 16280, 16287, 13215, 20178, 20182, 7147, 16246, 11567, 9291, 12980, 20170, 20176, 13004, 16001, 16004, 12746, 16013, 16008, 11502, 22790, 22793, 19943, 20078, 6561, 12751, 15652, 15654, 12442, 15663, 15659, 11405, 15643, 9033, 12426, 19954, 12449, 15650, 7904, 15678, 9045, 12458, 15673, 15670}], LineBox[{21331, 15133, 10453, 19033, 12190, 19051, 19056, 15150, 19041, 19037, 23788, 7048, 15364, 21327, 15378, 19019, 19013, 8794, 19264, 10572, 15383, 10565, 19239, 7557, 21447, 21443}]}, "125800000"], Annotation[#, 125800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6511, 12474, 6508, 12451, 15672, 12457, 9044, 15677, 7903, 15649, 12448, 19953, 12425, 9032, 15642, 11404, 15658, 15662, 12441, 15653, 15651, 12750, 6560, 20077, 19942, 22792, 22789, 11501, 16007, 16012, 12745, 9197, 16006, 13003, 20175, 20169, 12979, 9290, 11566, 16245, 7146, 20181, 20177, 13214, 16286, 8147, 16542, 11625, 16558, 16563, 13227, 9398, 13410, 16571, 8204, 16852, 16853, 13431, 20378, 13428, 16818, 13579, 17069, 13588, 9597, 13610, 20469, 6721}], LineBox[{10575, 15353, 10579, 12260, 21446, 7556, 19238, 10564, 15382, 10571, 19263, 8793, 19012, 19018, 15377, 21326, 6996, 7510, 18968, 15141, 19040, 15149, 19055, 19050, 12189, 19032, 10452, 15132, 21330}]}, "124100000"], Annotation[#, 124100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{17249, 13732, 17043, 13605, 20468, 13609, 9596, 13587, 17068, 13578, 16817, 16821, 13441, 16832, 8212, 16851, 8203, 16570, 13409, 9397, 13226, 9401, 16562, 11624, 16541, 8146, 16285, 13213, 20183, 6606, 7145, 16244, 9289, 13025, 9295, 13008, 20174, 13002, 16005, 9196, 12744, 9199, 16011, 11500, 22788, 22791, 19941, 20076, 6559, 12749, 15657, 9037, 12440, 9039, 15661, 11403, 15641, 11407, 9031, 12465, 9035, 15648, 7902, 15676, 15679, 12456, 15671, 12450, 6507, 12473, 19986, 19983}], LineBox[{21329, 15131, 19031, 19028, 12188, 19049, 8727, 18988, 15148, 18973, 18967, 7509, 6995, 21325, 15376, 10447, 19017, 8792, 19262, 10570, 15381, 10563, 12259, 19254, 12258, 19278, 10578, 15352, 10574}]}, "122400000"], Annotation[#, 122400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNjj9IwmEURU9LUE1lSxRZpOBgUFaDSH8FyTCDttYGIwMTfmOLm9AULhIU BA0NLrVEkdAYQSG0ByENguDS1uQZHue9e+973zd7eLpfGgByVmEO3hfgWDbl aB6eZHECBu3v7LOr0J6GlPyWYblj/l4vI8edryfhfxcu4pBXq+vlZEzvYxHK 3jqxfs101EcOoGv2fA16zm9murKVgJraZRiq696KwI/atgycO77z6d/qS5DY gyt5syGto3l4kCWZ1AuW4cW9Z7XhGfjahJB8lRW9qSg82g+tQGMLxuSZWkz+ uR+RNfVbWUj7rl4fInU4oA== "]], LineBox[{7000, 21334, 15130, 19030, 19027, 12187, 19048, 8726, 18987, 15147, 18972, 18966, 7508, 21324, 21320, 15375, 10446, 19016, 8791, 19261, 15363, 21436, 15333, 10569, 19253, 12257, 19277, 10577, 15351, 10573}]}, "120700000"], Annotation[#, 120700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNzk8og3EAxvGvg2Qnf06axhrtQhlTUjN/UhyG5uSqCLWtthy4uK123EWK Ug5OiouIUi5LccDNUksOq13ERW6+h6fPb8/z/t694dVcOtsELJvtLngbgoLe 62YCHnQjArfatgBX2qLN5tTznM98hGBc37VbQ+bcbdZ7nZ6PgvCXgl9TjUHa /lmjbo+a811b5tO97hZYgcYAlCbgSwtu1WH4divbHfRAMQmpPqjZ73jOm7r/ 8+S3749AbBEO9XhSzfogXGhGx9zycbjx/rVday+8TEGH3umeW7Af2keh4u+k /eU07NpF7X68H9Gy3YmuzcCZvrpXdH4J/gEDhD+h "]], LineBox[{19267, 19271, 15350, 10576, 19276, 12256, 19252, 10568, 15332, 21435, 21442, 15360, 19003, 15362, 10445, 15374, 21319, 21323, 7507, 18965, 18971, 15146, 18986, 18984, 8724, 18675, 8725, 19029, 15129, 21333, 6999}]}, "119000000"], Annotation[#, 119000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVjj0oxAEYhx9lMHKXAXHOYaKO8zH5c4gk5yOJxeAjBt3lSpkslzIalGK6 waRQlIkuJdnYKFmUZCIlG4/h1/O+v/f3vr3RucxEugiYUuF+CDpguA8K7ZAa g2t53wCHckE/L7d7oU5+jkKjPLM/VUGt+SSU6lW6s9EGF/Zl+neyRJ73eFut Out0f6UZju0XZV6e1MNeAuLOviq8a33VDU+tsC6f5abMqd2IvwTwEYNH/WwK 1tRtFWzNw6v+7zS8y9AMDJlPdMH4f74FvkfgR+2bD+mXq6M4VMuXGpiVO00w IAfVgbNi71/KSfs3M2m55L0bvWXrgsz694OMmY2oPyaYQfk= "]], LineBox[{6998, 15128, 21175, 15140, 18680, 18674, 8723, 18983, 18985, 15145, 10432, 18970, 7506, 21322, 21318, 15373, 10444, 15361, 19002, 15359, 21441, 21434, 15331, 10567, 19251, 12255, 19275, 19281, 15349, 19270, 19266}]}, "117300000"], Annotation[#, 117300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6997, 15127, 21174, 15139, 18679, 18673, 8722, 18992, 10437, 15144, 10431, 18969, 7505, 21321, 12186, 10443, 15118, 10439, 19001, 15358, 21440, 21433, 15330, 19250, 19246, 12254, 19274, 19280, 15348, 19269, 19265}], LineBox[CompressedData[" 1:eJwNzz0oxHEcx/G37B42FznPEzmHG9R5TpLjYjlk4AZK3F2JUhYp4w2eYiEp paRuYCGpS0abK4yS1U7ew6fX//f5fX+///9fO5+aWCkCps1aPXyHYEPftW4M XjUTgAddiMKTpnTZfFXDpN7bFTt7rjOeHbXbbYZZnTM39gm90nI9roRF7/yN QaEN4p4J2w8H3Z/yG1z/JeBTd5Lw7Pyq92dMIQz73ZA1B85v9cC2+bBf1zd9 1Fw7/PiO1nE48vm6AZZa4LAXSqqgyz5i0h3+m11ZDVz0wZkzt3pnNt0LNEJp J+RdR53J9cOQnmjIfk+z5tTn5ABc6otn8hqLe7eO2EcjUDEIwSb4B53rQ8Y= "]]}, "115600000"], Annotation[#, 115600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVjksrhHEchR8fwGXlfpsMK7dxW437Lblm4xLRWCgJK9LY2NgoCxmNlElK KalZWCmpSVZixcLKRsoHkKI8szg9v/ec03n/gcjq+EoGEFHRAviph035LuOt 8Jn+roA3GRiBF7lmnut9n87sfJXCsvyQ43LW/rPZtDyshkG9fTkj59W12YS8 lDnyqAgW3fwdhtcQNOuFVH8ZZE7ZUX+TsLsAO+rB/pn9Dd/w2gAHbbCnYva3 2+FYPsoPs5S8U8lGd0ehVsW9r4KwVOP7OvxHMXy7FzZbbYJbvexyOO+EUzs3 sqQStszyZVazu3phO8ku6JUnsk5/3TzmnfCOdMOFfNJLyaExt+WAfrgF8nqg TwarYE4mzKOF8A+FTUh6 "]], LineBox[{7040, 7555, 19196, 15340, 19268, 15347, 19279, 19273, 12253, 19245, 19249, 15329, 21439, 7044, 15357, 19000, 10438, 15117, 10442, 19009, 12183, 18982, 12185, 10430, 15143, 10436, 18991, 8721, 18672, 18678, 15138, 21173, 6952, 7463, 18643}]}, "113900000"], Annotation[#, 113900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVjksrhGEYhi97sUIiZhqskMOYzeR8SORYZErUsJGYFfkDSrKRUIqkpmaj LEgpGzktRBYsLGRByg+QMso1i7vre+/r+Z73DcYTw/NZwIxZCUF2LazJvxqo 74cfuVQIb3K7ET4zZ/2LDOifZIHMM5cZ58xXCczKDzkkx51/0MXkZiX02K3L SRm3O9aN+j1iXr0/6X2P8rcPnmXYvsZ0lfq+GOSa9BisTsGyuS6CA/9Z9A3P dbDRBDvOnjRDpApu5J350E2XwZXfR/XuHYBTeWx3Kw/lZot3FMO3+6L6+TCc 2+UEfFcr7LvvTKbklj7YACXlcGEXdeaoDTrkrqzWLehSMuk5YT/XDveZebve QXfLbrtoBPI7oFOGKmBC7uljMq1/l2/6f9AkUGc= "]], LineBox[{7039, 7554, 19195, 19201, 15346, 19215, 8790, 19272, 12252, 19244, 19248, 15328, 21438, 7043, 15356, 18995, 18999, 15116, 10441, 19008, 12182, 18981, 12184, 10429, 15142, 10435, 18990, 8720, 18677, 10306, 15137, 21172, 6951, 7462, 18642}]}, "112200000"], Annotation[#, 112200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkDsohmEYhi8ZDMrEIHJmopyVcvyV+ssh0y9JWOSYUgZKyiJlQgaH0l8M ykCkLHIqShmMSA4lKYoUBtc/3F3Pc9/P+z7v96V3DbUMRgHDajIRkgpgQkbL kwqIlTOZ8JcPhY3wLUfN7+SC+XOkN1+y/kiBKXmrF+/sUSSzf9HvlY+yQTar S7OQ5+qs15Lc4/xiLnTqbZt1yDazG/eH3Tdmfm29Uuku9elscisEUyFO/oZg uht+ZIL9ayFcee4+cs56rwp2VEkenMoL9ajfnQXH1ltFUNQEu3Jb70xuyrlq 35YMX97VUwyzzgzIjRrfpVa9b1+uy3mztBI4tz9U5WneWwsBuSTzzEaynZVh +0H9vgD0q0O9YDMcyHr78lK/o87/IzNyoF0um4fkr/mDfDJ/k+PmMWXwbv4P ptNY2Q== "]], LineBox[{7038, 7553, 19194, 19200, 15345, 19214, 19212, 8788, 18959, 8789, 19247, 15327, 21437, 7042, 15355, 18994, 18998, 15115, 10440, 19007, 12181, 18980, 10434, 15099, 21313, 15126, 18989, 8719, 18676, 10305, 15136, 21167, 21171, 7461, 18641}]}, "110500000"], Annotation[#, 110500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkE8og3Ecxp9RDrtaicm75d9lK2PIwbB3bjIpiSTtQMmfg1DEZbkoLoS2 l0i9ciVyltSmRXJDyZ+LKOXPgYvPDk+f7+95nvf33X7e2HjnmEPSNNoolfwB yYIGNNulIjhfKOXAs0bJCRfJ/6qkAPkPnCKvZH5htul8lUhJ+AHj8B4/n/w0 2+U8iSyftAzf6URhhqybe03mHTd76K/TGcA7IOuHvWR37J8jm0E3zJshdqFP uu4eyYNyUQFyoddq6Yrf95DtMx83SYco6JfScLBMesKPwaMa6Rrv1pD2mtmL d46XYF5BzmL+G3cNBaWlqDQCXeXSfou0xX0n0IarZEatlOIc9kgLYekSfw0m kY9sgu9suMt5lM6wydvALniBnyZvY26oY0eEd4HeCqkPWh28Ffwlf4TP5G9w ljyvXvomd8AU/jbMtEr/Vn5agw== "]], LineBox[{18640, 7460, 21170, 21166, 15135, 10304, 15125, 18663, 15124, 21317, 21312, 15098, 10433, 18979, 12180, 19006, 19011, 15114, 18997, 18993, 15354, 7041, 15326, 21310, 15339, 18964, 18958, 8787, 19211, 19213, 15344, 10550, 19199, 7552, 21432, 21429}]}, "108800000"], Annotation[#, 108800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkE8og3Ecxp8pxXmlNtomtpTRmD8HMXvZdSSppRS1gzClJJqUUIqTg+w9 vCjKwUG5OC+1SUq7cVjGZVGWf8XJZ4enz/f3PM/vz/vWT82PJGyS1tBZgxRt k85hCPagTYfkhaVeyQ9NMhc0opIDrpLbYJq8Gm6T/wWkAPk3bII+9MJ8QufT JaXgO1yHCfolsjlo+aUkngl34RudKLwlj0ADHdZyD+dVoSL3xdmXhzGyR5jE X0Y55h+yoz7pg/OcMcmNKlANsqNiO++imy/3mScapauQFGyRsjDOuoA/CS+D 0j3eg1s67Zcu8K7xDpjTsAC3OrjHKe0MSTPMdi/fzFlWWGqtk/bx95CrU8rg hT3ShiHd0UnBJfrNZAvlffAYb5bO9IC0CEfhDX6W3OiSxllb+O5ByeNjjWcO S2Pwl+wJPpO9whXyym7pi1wwg2/BXIT/RvYPpAVf+A== "]], LineBox[{10294, 18645, 7459, 21169, 12116, 10303, 14884, 10299, 18662, 15123, 21316, 21311, 15097, 18978, 18975, 12179, 19005, 19010, 15113, 18996, 15106, 18913, 7504, 6990, 21309, 15338, 18963, 18957, 8786, 19219, 10556, 15343, 10549, 19198, 7551, 21431, 21428}]}, "107100000"], Annotation[#, 107100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNkE0ow3EYx78rBzk4OBk2xFxYMa8pY95u5i0HagciQtvFgXAQyttBTuww 1CTlspso5aVspLQ4uGjsYDlsISXUfA5Pn//z/Ty/5/f///MHPF1ug6QVKpAl dXdKF9VSpEg6gOEWyQevmqVklfTZIaXQT+Hf6F/II/C7SeqBXnwfNJObKF8e Pc5BFrRIoUruoJ8gH4FjcLdRmsSd4OLt0oNV2iK7hfOwgZkrB/vwm3gz72nN YTeZn5kMzo5WSKu4DWqR5+cG6byceXgJ96CfesyV7uql4ULpjPzVKdWwI0hm g0fQhQvbpCdclIrxbOyVfgokA/yDZvheIu3YpS/6cBnfwGwE7pM5uWeoThrE xcjScW6jtJ3NvyC/KZWW4D1ch2uUl33T0AfHOZfAzdHPUnEz/wR+QD+M4izs TMIA/S95CF5Tqdx3DgVnuDMTOpg1QS97i2ECXwgX8LXQTh3i2mAa798Kl3Eu 2E+d4jzwGP4D7z5svQ== "]], LineBox[{10293, 18644, 7458, 21168, 12115, 10302, 14883, 10298, 18661, 15122, 6994, 21315, 15096, 18977, 18974, 12178, 19004, 8718, 18934, 15112, 18918, 18912, 7503, 6989, 21308, 15337, 10428, 18962, 8785, 19218, 10555, 15342, 10548, 19197, 7550, 21430, 21427}]}, "105400000"], Annotation[#, 105400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkk9I02Ecxh/pMAQ7eNLqZypbDXSCZelEVz/TdarMHRJBRN3EVFTQi3iS EgtBNOjghNVw2B86KIgIihARKZLIzMCLLkOUHTZFCk3xz6fDw+f9Ps+77/v9 ve8y69s9bQmSgmjyqjRSLE3DthqpAz1FRXVSIXp1SRpqkF4jO0qqlA6eSGfo GA2QN96Qsu/wezhnlWphNXpJ5oaJZA/gJzIXLETPyaww7pKyoJ/MgOYjKQU6 YQGysF5hzynzLcAjOPG/zpVs5L9hiHoUjTmkWXjAnh4YJ2uhbwC/m9oPB2EH 3g+yF6wXoQnfXJFamekiPXc408seH/7DdOkd8x9Sx/H/wL/0eYu3B9OquAc8 wX8wFe7cZC76rKMw62ob35Ijjd+Vdjknir+NPudJP/GW0RrnhExpA8bgEtkW /IV6b/EO5VI/amKdfI299AuUSA6DGS5zZ7fpSW7AvnvSM/SdPcNwFcbIZsg+ UgdRcwbvVip1Qg9cIJunr5nPp1AH8I0y6T20QB9+2nXphCzCehMvCrvwLhRI +495E+pv+AHqsFv6ACPkX6Cngv8GnML3OqWv97lbu3QOc/eAmQ== "]], LineBox[{10559, 15317, 10562, 19230, 12250, 19210, 12251, 10547, 15341, 10554, 19217, 8784, 18961, 10427, 15336, 21303, 21307, 7502, 18911, 18917, 15111, 18933, 18930, 8716, 18634, 8717, 18976, 15095, 21314, 6993, 15121, 18660, 10297, 14882, 10301, 18669, 12112, 18654, 12114, 10292}]}, "103700000"], Annotation[#, 103700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkm1ojXEYhy/DIpRSE+fkdaaNNa9z0uxgj81Mm7MPRtbMWSZ0aCjfrMhW EjJvJ6dEXjYf+CJFckizD2N5K76YJFI2EW1Rlmsfrq7nf//u5/+/n5eZ8b3V e0YAnXJhCmRsh1Fyoh7a5LQ8zIP8OiiQPFkXh3IZOQ3O25uUQA7UwE5JyG45 537RbVAiNbVQL3WSzoUKXSWBrJVSOWP/2SLnkGABXNRJues5Cc9tkh2y3P0i csr+k57bJjkyzjMHNsKQ/JXj5o0LnbnY+/WD2bBVb5FWs0CPMavQN82KdEQO m5VVQq7XY6fD7xUwWvfqWdYKzTL1S9f/nK1L/9G3dbP7TDI7pNvnQ4e1q/q+ HrCnWff7bLvM93t9PQQh97tsT5O1V2Yt1o/KoPt0OMtHPd6eL7rReoOsd55r zj7oPf3Wf+mk6+fuV+67KZMW7xmynr0ZLtmfjvoNsuHHIt+BvuX6u/1f7fss 6cXwxlqPvLX/ykp4r/v0M7NP+oMcWeK7r4JjevIcSOmJw14F88IQngpZS93T npBOmLWuhu58/xf9WveZ3TNrd71vBhSX+M2sx3S3/V1mT3W0EDZZS9kTCnxf OlM3WA/nOLue4LrH+jd90FrGMvi5wW9j1mkt5frFGrihe80f61jM/0HfsR6P wJNS59TVc51VPzJ/53P8B9MtmC8= "]], LineBox[{10291, 12113, 18653, 12111, 18668, 10300, 14881, 18659, 18656, 15120, 6992, 15094, 21160, 15105, 18639, 18633, 8715, 18929, 18932, 15110, 10415, 18916, 7501, 21306, 21302, 15335, 10426, 18960, 8783, 19216, 15325, 21421, 15298, 10553, 19209, 12249, 19229, 10561, 15316, 10558}]}, "102000000"], Annotation[#, 102000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkm1ozWEYhy9jkbylKJswM2yxMPOWM5zjHGy1t7RFbHaykk425pumKCuk iaOtTiQzOykKKVpGIx/YvLZ8sS8yMtOKJivk8uHX9Tz37377P/0zonXlB8YA L1ReOUTXQu8iCMt1KhmBY2vgYRk0yTK9mOw2XiPvhKFzNZTqP5L9C+GafGk8 IZ9shmdqsuc++W4eDMpeOUl+XgXp1kRlqvd242kyIStD0JMF2/UipZCS6xxj o0shIA+a0xGEe/nwtQSG1bbZ0GjsjTkxa9P0PhqfIdPTIEc/sQnaVGIlzDTn pGw257gc2AjPF6g8e3r+pBrs1Sffz4W3G6BLb7DY8yz4lg43jN1Wwyug2tou z5fMzdwBfzLhhLmRGtiqesxvLYDvxoeWw1XPV1SR+dEAlMhb3gf0TlmXdMZP z6f16qx5vQzq5eUlfpt+u/0O6R1WQ3pH5cgcuC/bzEnKDtlozXT73PR+Xf0y 56n8LV/JVL18+2XIfu/j3OOHnCAXG4voBeVfY9OMTXHHqarQ2HgZkk3uulNW qU7nxWS2Xu3//fVGK3wPNaImVkJWrXPkOdmsH/B94nv9J3LgrPwi66vgrjte XA8f5jvHb2zxHFfnrQnvgi0qpIpVoerKht2yWlWooH0L1AXz9zsvpvapBhVy dr1slSnOKYr6Vs7udvYR+VjmusMDGd/jvr7lGZkix1rTYs9/lLOdZw== "]], LineBox[{10557, 15315, 10560, 19228, 12248, 19208, 10552, 15297, 21420, 21426, 15323, 18947, 15324, 10425, 15334, 21301, 21305, 7500, 18915, 10414, 15109, 18931, 18928, 8714, 18632, 18638, 15104, 21159, 15093, 6991, 15119, 18655, 18658, 14880, 18671, 18667, 12110, 18652, 10296, 14866, 21163}]}, "100300000"], Annotation[#, 100300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkl9ojWEcxz9rKwlJUs5oZmbL2jA2Mw62Y2cs7GyTSaTt2KJWxuLuXLiY YhZGWS1uhrMLZmgi/9WUthFac7NWIo0haQpRPi6+fZ7n+/29v9/zPu87P9pY tT8BeKn2ZUNbDSTKK9ugW/Wo+GZojcIJ1eu+LwtidZC7G7JV03aoT4O9co9s lOFaKFZZ1j1dBDnymYzuggdyi3wiQ/KxLJNnAnAuCKP2CC2Ft/K8+94Uezpn zLmn7PNBnpVB+5/0mbZ6z+zMdDlZTlTDH/VTtZgXWNeQCynzYMlaSJYBWadX We5sOVNvmt50+XeNZ9cLm2XKSXrf9RLliEzVyzNLkqcXwLBej3c2JhOs6ZYz zGJmcf0u953yvmzWm/DdbrkelwflpTmex36z//dcBoet+eXzLWY/ZKv+cfXe 9XXPeE39tl+frHDeRTlu1iHb1YD9unzvTb53s89l7IA0dcHae+u8f/XVOTfk VfXZ+tfW31kOpRFz+aYIhlRTDnySz9OhX79fHsvzPvQCqZ6nGGYtdLZep+t2 +UXm58PqZHhnv4DrBmte2SsWgo1zocjsm9lts7jeAXsF1/vNrInIhMXefwVs XQE17qtVhzWBEu9LJslas+QM/wc5xf2g/kc5LIfk1AI4ZD7gusP1izBcliN6 j2SkEu7Km/o1K/0fSz2nrMiEo/Kh+RHZpV9YCCVq0KxWFlbBTjm6wX98lfdb Bv8AIqGdjQ== "]], LineBox[{19221, 19224, 15314, 19233, 19227, 12247, 19207, 10551, 15296, 21419, 21425, 15322, 18946, 10421, 15085, 10424, 12177, 21304, 7499, 18914, 10413, 15108, 10419, 18937, 8713, 18631, 18637, 15103, 21158, 6947, 7457, 18592, 14872, 18657, 14879, 18670, 18666, 12109, 18651, 10295, 14865, 21162}]}, "98600000"], Annotation[#, 98600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkklI1VEUh78MKioigkAbLCu1lyZmalaYr3ymlejLBitEnyYGj7AkaeOi hUFFRNFCCFoUVgsrbSIoXgMUNBgRic1C2Gy1EIMGIvpc/Pju+Z17zzn3/v9J dTsqGkcAPSpjKjyugPASqJwLOTJ1FQRkXzFsWQx55iOyOxUKh2N1ZiXsyYMb a2GvLDcXlbf1a+TFIri2CMrM35QvjV+o0UnwKgSn9HalwDjZY9w7Ez7LbjlW fsiFBPMROdL4XyEkZ8CgbHdPjawwFwoPX8I+xj/nw1JZoK7mQL65C7JgChRP g5YV8MQ90WSI1+8vhwGV7frbcmjLhpPymOyS51W8vQaDsE/vwRy1EB7JL3pN 1uqRz1RMv8hafxLgqev3BdbMsr/8LmPyujo+A5I2exfVWgara31Lzzz0O7Qt c54FcEsOyfvyjvqd7iyyS73T3++5g+qH6wP58Es2z/ad7JOo32y9duvtNDeQ CVfkkGx1z1lrpbmnw/wJ/Ra9iZ4/5xpn+yQ73dMrL8nD5rPNvzZ+ruLcMyhH yRT9kLWC8q/eBL3xzjhJluiFzW2V8XoJehlyuozq5XrvuErvsMm30Bva6D8n x+htr4bd6mg9fJ3nv7PB+9TBaVXiPT4a96s+9XYWVFujwVnXVfleAahaD5Pd +2YNlOrF9GrlPZluzbsyIIPOEFKN9qyzToOsl00yzf6ZKktdts8h6wUTnaHU /0l26nWoIxHfSG2z/38gDKGh "]], LineBox[{21161, 14864, 18650, 18647, 12108, 18665, 8644, 18611, 14878, 18596, 18591, 7456, 6946, 21157, 15102, 10290, 18636, 8712, 18936, 10418, 15107, 10412, 12176, 18927, 12175, 18953, 10423, 15084, 10420, 18945, 15321, 21424, 21418, 15295, 19206, 19203, 12246, 19226, 19232, 15313, 19223, 19220}]}, "96900000"], Annotation[#, 96900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7034, 7549, 19170, 15305, 19222, 15312, 19231, 19225, 12245, 19202, 19205, 15294, 21423, 7037, 15320, 18940, 18944, 15083, 10422, 18952, 12174, 18926, 10417, 15067, 21296, 15092, 18935, 8711, 18635, 10289, 15101, 21153, 21156, 7455, 18590, 18595, 14877, 18610, 8643, 18664, 12107, 18646, 18649, 14863, 21165, 6950}], LineBox[CompressedData[" 1:eJwVkltMj2Ecxz+1YTnMYSaHRCQd5NBB0UEqNaHUKprU/CdbszmOCxcuctHc 2GwZFzYVNqdQDjMaqw3TxsYyos0wOV1IzBza8uniu8/7+35/7/P8nud9IwI7 S3YEAd3qTjjEVEFHLFwqg6uqVZ1bAyMqoT4G2qwPyxDr63NgYBF8Vy32bLOO S4emOKg0j9sKD+ytLoWAqlGv7ZsSgMlqk3WneYm9NQtg80Z44xq97vFWfVD5 i+GMvc3qpfUXZzvquvucc7satQGiZzlHOUTKH64RpJe8BWqXQJhefCZMlaEy oFdU6Lpyot4YvXHyX4Zzz4Uy/UbZ7jy3VJD5WPNX5olmR8xa9butW2SfHPLe Lsrx5k3ylDo/A2Ld54I9db4z4Dmu6bepSQlweRoM2j/TnmDrvfY0mJW61233 /GtWb/ZOBkd613q/XatTPlQD+ndl+7Dv+89d75v9dSq5AhJURrz3tUJf/bSn T75XTxPhj/25RX5zn++7fk8W7LL/k9wv15o1JMETs3690Nn+EyudW53Qb5TH 5FeZmAyf7U+Tu+d5v7JWHsiGvDDInA5X9NLXww3ZYZaVA7/cZ50ckjlmxUuh yrrZvfpl5ELPnuv3k8fNB83Do/z39Lrs+Si75TM5OgX2mJ2WPdYjI+DFKpgg O+SjYd/8ps9VqXAvzxll4Xw4JNuL4aA8q5+yDLJVl1m1TCmBCtmb77+2HKJW Q5Isj/as8rF5gQzRT02DkwXOb/YfqfSjOQ== "]]}, "95200000"], Annotation[#, 95200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk0lIlVEYhh+hQguKWtwGtRRn0cqhazlUaiomOaWppYbSQlpkQUUtiowW Qbiy2gSFEWQjTdAgkURYVovCKMudNC8Um4Ss6HHx8pzvfb/znXO4/41uba/e EQIMqYrlENcMD5IhSvbJBHkkCUIb4aiMqYF4lagO5sLxSEhx/WMZdJqn6gXd kyz/boUG921RzfZsUxftf1cGPXJBK2zWqzWvUttSrOuhUQ3Xwnu1YTEUe68y ed7+N3r7nL9bbVcz6rzjEhjf5N3kN/eil9kCbWkQrpeyGubLgLwRA3v1r8t+ z3uoYvUD5r/zoMbsjFmv/m2F2Syzt2bpZp1m1/QHrS/LL7JLL2A24nq2PC17 wiGpHC7Y02E+7hsOyTtmc9PhykKYtDfCnhDrE1Nz1EbPuuuZ02Jhpn6I/OOM m3oTsl+G6Y27977r3infvlfOG3VWh8psgDSVm+r91uir7/Z8kCPqRQaUVkCh uuf6kfOG1kK7/Z/kHllm1pUJv6zHVCAKLuVDpJyQ3Waj8qtKXwGf7c+WO+Og XLbJ/QVQFAF5i+CqXk4l3JJ9Zv88I1gILeYl+gWqMghNet2eMSZjlvr+df5+ 8qT5pPk861A1YM9HOShfyrAs2BUPZ+WQ9fRoeF0Ec2SffDLlm7ethMfWhfpP i+GZOqzXWwUH5Dnr4CrIVwMJfrcyWA31crjEby3b/0gpZMjaRN8qn5uXylD9 rBw4td73yJ/mTbJOHdP7D5bYnkU= "]], LineBox[{6949, 21164, 14862, 18648, 8642, 18366, 8641, 18607, 18609, 14876, 10278, 18594, 7454, 21155, 21152, 15100, 10288, 15091, 18622, 15090, 21300, 21295, 15066, 10416, 18925, 12173, 18951, 18956, 15082, 18943, 18939, 15319, 7036, 21422, 15293, 19204, 8782, 18905, 8781, 19187, 19190, 15311, 19175, 19169, 7548, 7033}]}, "93500000"], Annotation[#, 93500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6948, 14861, 21025, 14871, 18370, 18365, 8640, 18606, 18608, 14875, 10277, 18593, 7453, 21154, 12106, 10287, 14853, 10284, 18621, 15089, 21299, 21294, 15065, 18924, 18921, 12172, 18950, 18955, 15081, 18942, 18938, 15318, 7035, 15292, 21293, 15304, 18910, 18904, 8780, 19186, 19189, 15310, 19174, 19168, 7547, 7032}], LineBox[CompressedData[" 1:eJwVkltMzmEcxz+GwsYw7wzRUYeJSt7oRKVI6bC8OlCxujA3YjRms2kubMZN lgsby43GMJM5zdZiOcwoNkp35oKbUg5tTuPTxXef5/f9fv/P8/+/7xPd1FK1 bwowpMpTIbYR4lSkSlTx6kQShNVDuIoJQYLqWArHcuCsXOH8LQVO20vWC/pM kvyzC2p9ZodqsNOsrth/XwpdcmET1OmFzCtVc7JzLexUw9vho9q6DIp8rxJ5 2f47vcPuf1DtVdNrfMdIGKv23eSIz46rtjR4FAuv3fOlyl0P0eYB2Wp206xP v1fF6gXMfubCNrOLZg/076h/erPMhmSaWb98pW4sgZxyuG2n3X7A7IP+bHlB dpkfXQQpdqJWw0k7C+Rds7nymtk5M1wPen61Z7SbVcl7zlPjYKYZ8rdn3NKb kH1yht6Y54TJ3knf3rh7jajjKr0OUlX2Sr0NcMDeVzst8rNzfzoUV0CBuu/6 sf4huwN5MD8CyvRLVPsa+KE3qgJRcDUfIuSE7DRLWQ5fXKcF4ZP9TNmiVybb CuCIKnS/nMVwXS+rErplj52/nhfcCLvNG82LzSoyoF6v0zNGZcwqv7/Q+yU7 zH+Zz3N+Y/5QhvQHZGu8v8la2C8vyUG9adHwtgjmyB75dNI337MOnjgX6D/f 5P2S3fKMfmmC99N1MBPy1DPnBhmsgho5vNm7luVfssW/TYYS/Vb5wrxYhutn ZMP5EsiX383rZbU6pfcfMjyZ5w== "]]}, "91800000"], Annotation[#, 91800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNkmtozWEcxz8j5o2ZdpJt2M1c1pyMM2eXwza3OaONzRiGeKEkQ8lbJy9O aS6dXJYkiXduNW1utUZoaWzCxBvzSsqYy4qa5vPi2+f/+35/z/N7nv//n7P7 QH1LEvBOJc2CtiLI3QEXZXw+nJH5GyEhYxE4PxOC1gUqpRkmq1b7ylwTUSFV osLqlr377TukdqmMzTBdJTfBDbO9ek3qqt4V9cD5aXKaGmyEVJmiWt2rzuyL 3lt1zDqmevPgQ6FnV2uWQWEWDLt3zLM+MuvX71URs2yzgDxsdtvsiX63ytUL mP1ZCvVml8zu63eocWbXrMP6C9ULe25mQnkt3DFPmAX0B/U/quAi/XRIl0F7 smTcnjTZaT5FtumfU2OuG3D/RmcnzDbIDuu7apJ9Y6677vMr5522/5/zkmfD d9dNkN1mI/YNm31VR9U+/fAWv8UCvQo4aP3Dnhb52frlYqiug9eyR++TfCz7 KmHqDGd49jrzRAh+62Vme7cq7+x+w3JEXTYL5vuNi2HUeq09p5Y7Q2+dXszn qOyV/XJrBpSuh3afu+wZda/QCtjpvO1m0SVw0rxW/tQfUjlB7y8L5Fmzv2ap K30XznooG/T7ZLMcMr8XhiNzfJ9643PgzSr/S9kln5kNmO0pgafWVfo9qz23 bJcn9GvmQkWp3906rv+t2vesmvVC9bBJvrfOL4O8KBTJhnneVz43r5YT9YvL 4UINVMpf5ttkozqu9x+9Fp/1 "]], LineBox[{21414, 21417, 7546, 19167, 19173, 15309, 19188, 19185, 8779, 18903, 18909, 15303, 21292, 6985, 7498, 18865, 15074, 18941, 15080, 18954, 18949, 12171, 18920, 18923, 15064, 21298, 6988, 15088, 18620, 10283, 14852, 10286, 18628, 12103, 18605, 12105, 10276, 14874, 10282, 18614, 8639, 18364, 18369, 14870, 21024, 6908, 7416, 18339}]}, "90100000"], Annotation[#, 90100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkl1ozXEYxz9TuECT5WXDZtkwHDObbWfH3rzsNcNpOmZrSakloXapnFys tHkLIReS3THquNhQY/Iyc7S52EjJW6nVSKHQJJ9z8e3zf77f5/f8nvP/n8y9 h8IHk4DXinS4kAeZrXBZduTAWZnVCGdkdAPk+hxQOeq0eXILdMqQZ4ZWQr58 JoPy5mI4YN9htUelRmC+mrYLbpi16UXUNb2r6q73z5Fz1fudzpazVKezGszG 9UbVMeuoii+FN6vhlaoug1UZ8M3ZUXcdMBvRj6uQWYZZimw3u2X2SP+Bytbr tW7ST/d5h/xVCrGFUN8A9+3pNi/Uz1UvzHrMSsyCqnQdXDTPk5/NAvJ2KiyQ AfN02WE+YNbsDh+9Y57eebN/zhuzHlVJAZiQEXt65XR7euR19dL7Ttl/Uk3J hxlZ7qHfnZhXDn/snTA7qvabFTa5W2KeWZn8qf/Wc+1mP/Q+ee5dBQxaf9B/ KIetZy+Cv+7esM3vXWCvXtoSv0WluyTmyLxsuGIWkEXrYVKvzp6uje6n6vWi skbG5Yis3A7FKuZzv+cmnZW/CVq9ryXN3kI4Yb5Vpizzv7XGb21+xPyS/jn1 2yx5s+/Cu+7JsD3Dsll+Me8rck/rmZm+sy3O0++T/eqJ2Zhz9xXDY+sKewar 3FvGZJd+7XLfVRDuWHfof632/y3HZZv+U/O1JfBcL1Dr/Sv8rdZDYaiSU/UK Qu5bB+Xyu/lu2aiO6/0HCKugHg== "]], LineBox[{18338, 7415, 6907, 21023, 14869, 10167, 18368, 8638, 18613, 10281, 14873, 10275, 12104, 18604, 12102, 18627, 10285, 14851, 18619, 18616, 15087, 6987, 21297, 15063, 18922, 18919, 12170, 18948, 8710, 18882, 15079, 18870, 18864, 7497, 6984, 21291, 15302, 18908, 18902, 8778, 19193, 10540, 15308, 10535, 19172, 7545, 21416, 21413}]}, "88400000"], Annotation[#, 88400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkklIlVEYhh8hJBSUpIFKrZtWJleza15t0GuTpkXZZGbDogGJKMEWggsJ CgKLiqLCRYukTdnCoEzLkiiFrmjQQGU0CIVgIZhgUAQ9LV6e/3vf73zn/P9/ Avtrtx6LAd6qtB3QvATqD0HBHLi1AcIyfSdc1m+fB0l74MIieGzvORlvfdu+ h9YP1H0VzYSifXB8O9SqVNfHHoDJKuBzyJnJstN5R8xrVKWqt76h35EKU2W2 fZ+clyWnWI85d8R6WL1So9Yn3SeaBu+C8EaVFEGm/aNV0OiZu80G9KOqyKzX ukE/3+c6mSTvzobn5vfMqvRS9CrkRCG0mZVvgkfmLeZ5+tmqz6zV7MRMiJiv DMEV8xz51Swo75jNkEHzFPlEv1tVe74v7jFN75LZX+clpsOgHlm+oxxVCebf ZKy8KV+4X6szL7omJhfiXNOn3/J/XgSOWsfqH5bvrcftn7B3XH3Qr9P/qT9k /8div4X1Z/2XPverxGT44/wzS+H6Zjgvh1b5D1Sr5xqXOfPhmn5QhvPgt17Z XGhaDWdVuV6jLJVROSCLK/w3ssc1I7JLhtbAXvfbPcvesHvas1EmLYCMbP+x eYN5g3mz2S+zhLV+A/fqlFvs6ZfV8rt5e77ntI4P+K3WOU+/Sw4675nZa3mw AJ7qRezpLfHcsk026a9fCIXLvL/Wp/R/lHq/5bCs0e8xX7zce6IXLHOenC4r 9eLkJJW7Aq6We8/kWAbsktvUab1/IaKitw== "]], LineBox[{18337, 7414, 21022, 21019, 14868, 10166, 18367, 8637, 18612, 14860, 21147, 14837, 10280, 18603, 12101, 18626, 18630, 14850, 18618, 18615, 15086, 6986, 15062, 21144, 15073, 18589, 18584, 8709, 18879, 18881, 15078, 18869, 18863, 7496, 21290, 21286, 15301, 10411, 18907, 8777, 19192, 10539, 15307, 10534, 19171, 7544, 21415, 21412}]}, "86700000"], Annotation[#, 86700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{10543, 23460, 10546, 23498, 12243, 19184, 12244, 10533, 15306, 10538, 19191, 8776, 18906, 10410, 15300, 21285, 21289, 7495, 18868, 10398, 15077, 18880, 18878, 8708, 18583, 18588, 15072, 21143, 6942, 7452, 18547, 14842, 18617, 14849, 18629, 18625, 12100, 18602, 10279, 14836, 21146, 21151, 14858, 18356, 14859, 10165, 14867, 21018, 21021, 7413, 18336}], LineBox[CompressedData[" 1:eJwVkklIlWEUhp8ICaJCFy3KWzmUSpY5dLUcs3K2vGk3k4aFYYSEUZAk2KqI FAwCg5ZaUGoLg3IAtUUoWFgRSTRZgRVYBCUY1KaeFi/Pd973/Oc/9/5fbP2p 6qZFwCt1qRyqc+Cguun5hloTB4EyyNMLJUE4G1Zav4iFZDkpU/TGE+H4dvhS Ah163+QFOVgMufol5m3boN+6VH9C5suHRTClWs0q90FnCoxYt8seudSemd0w kAVfQ1CnP2UdksNyTP3KhE9mP2XLahVwj12QaE9UAlTot5ufNWv0fNHscxCy 5Zwc3wDTssCeJ/LRTqlqPL+UVTHuLkvl70JIt7/Y7HYV3N0M83p9clYmmV3Z Cl1msb7vlmf0ZzLg+Q54L9/Jt+rjOncucH/1Rn9+Lyyo+Wi/h96J9RChf1J+ sO62/3E+PFXoX7W3b5W1/T16Een+D3K5/C7n1N9N8Foudr8Vzkkwi/w/T6/O eQ/y4Ij8Yx0w63Jmt0r2PGu2RV6LhxyZrx+UQ76zXO5RPWaHZKlZmep3lwWf q0pznjNr5X17Jt3jnlmU3mm9TNkiJ8ymzYbM0vXO6zUc9hvJZ2YzZgecO2Je ZN561N+2Ec7Vwg/ZZt1bD5ftT/V3dFjP1vh9VWWqdy/XPWWz9zi83zuqGtWw dbQz0nwmRmbIJce8756bzM+oPGcVqMEwjKrCtXCnwjvpfsvUmF6UjFQDzut0 h3ifDzqr174s2dwA1/Xj7P0HXMqjCQ== "]]}, "85000000"], Annotation[#, 85000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNkklI1FEcx7+JCOaCkJccwSV31FxGcxy1xWUYHdQ0S0JEnDzYwbqIE3nS YBJsocK8iHlwuxi44YJ4MAhJPRRhpozghoaaHgSTXD6HL5/3+35///fe/70X Uv2kpO6SpF9oKFTqrJFOH0gO+B962iUvdBmFUkeUSdHIWinNx0jTjF9XS29Q r00apx5DI8gjVmqvkp4x7yrjIL53QSd9xiDpVaJkoi87g/XoeYFfD83UBQnS Rqm0hlpZ6zr9Tvr7WOcl9V/WbmC+XficOidLmjBIZYXSCmssXJOa6X9UITXC RPJR8h9kX8gceCl4T6EfHCT7SjZEdh/PgBeAapOkyatSKSxk7oewlx4btKJR MiPMJEuHH8j2MiU7+3W/KSXjdZIZ4D/mq8CfIi+Hy9QuFE7mEya5xXEP1Gfs YxdewfMmW2e8hnyTpSXWO8F7y5zncB5/Fn1ivhXWcyF3+pbhIjrkvxb55pj+ JfwjvAO0Sv/vW5wx9L4tbZG5wXO8bqMUHMC+i7gjxpHhrE/Wz/4O4WfYQ5ab Qj/1MbIEcy93OCP4E5aQOflugfEc46xizh7O4G1DUzZrw2ZYmyq9I29B+Yz9 Inhn8dImmSMQsZcD/HXyI/iYvJx8MEf6SL6Pv4OGb3AGeJ4h3FEu89EzAd/D gru8kzTpG7WFvCOPc8MfgLZI9k6WB80m3i5eEz1/LLw9uAlr8GfI49J5J3gx Vuk79If38IqipAwz90wdyBvuyufcYBu04++TXwC83qiJ "]], LineBox[{10158, 18340, 7412, 21020, 12042, 10164, 14644, 10161, 18355, 14857, 21150, 21145, 14835, 18601, 18598, 12099, 18624, 8636, 18565, 14848, 18552, 18546, 7451, 6941, 21142, 15071, 18587, 18582, 8707, 18885, 10403, 15076, 10397, 18867, 7494, 21288, 21284, 15299, 10409, 15291, 18894, 15290, 21411, 21406, 15278, 10537, 19183, 12242, 23497, 10545, 23459, 10542}]}, "83300000"], Annotation[#, 83300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkmtozmEYh681m4m18IVNeNlmNJpt2IHZeUwb22stZQ5zaCRCGVbKaiNW IodCUlhSlNiHKacpySFZrLXlA5tmRZTVKDbX++Hueu7f73c/z/O+zz9Qu6dy dxjQa3Vvhqdx0CNHq2EwCElVkGBFTIeiDfBqHuTJ17JEPpeXNsHYZDgvI2Tk NrNL4bF77Vf7pLbX3KmFcLAGWuQ498s1U2OfL3fq58igfZYsTYGHzl9zfsB7 /NI/4dwFz2yWFc43uS73rGPygPc9Ig9bBTnQ7uzacn+XZ7+ZDY3ObFkPDTJF v02/U++ZXr1aulqa1ZTqvafCPnnIatffJQN6dfKBXqUsc+91slV/lVxhtend Us90Hbccts+Ab8ugVobbp6pf0Y+Vv91v2IqaD9F6G818tI/XmxDv3Vx/8I4X zY8xM0ltvN5E+VUvOs338ry/+iPqo+7xz8o3G5ML10P72Yeb65Fd1k/363Jm 2Jlu9SG1PnN/zDc4F5nnGdYXvTA5Eton3Vrtva0W14kJcMdsj37qNLipfsMq XGRerWwmPMnXN/NWvrcq9Jqd65S99g1migugQ21ALcN1n2yUdYvh9Bq/Fzkl 0feQMbJfr97z6mPhh9pnM0Nyh171Arhb6Penfzbk691b4llqUQHfqAiOm2mX Z2Rphd9JBry0L9a/XAwv1G/LzlBOvyoTHtnft46aGSyBk7JfbtXrmAPJWX7/ anNXwjs5WQbVypMgO9t3to+bBVdL/d/kOVmr/l3/P+nupfQ= "]], LineBox[{10157, 12041, 18348, 12039, 18361, 10163, 14643, 10160, 18354, 14856, 6945, 21149, 14834, 18600, 18597, 12098, 18623, 8635, 18564, 14847, 18551, 18545, 7450, 6940, 21141, 15070, 10274, 18586, 8706, 18884, 10402, 15075, 10396, 18866, 7493, 21287, 12169, 10408, 15054, 10405, 18893, 15289, 21410, 21405, 15277, 10536, 19182, 12241, 23496, 10544, 23458, 10541}]}, "81600000"], Annotation[#, 81600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{10156, 12040, 18347, 12038, 18360, 10162, 14642, 18353, 18350, 14855, 6944, 21148, 14833, 18599, 8634, 18332, 8633, 18561, 18563, 14846, 18550, 18544, 7449, 21140, 21137, 15069, 10273, 18585, 8705, 18883, 15061, 21279, 15039, 10401, 18877, 12168, 18899, 10407, 15053, 10404, 18892, 15288, 21409, 21404, 15276, 19181, 19178, 12240, 23495, 23501, 23457, 23492, 23489}], LineBox[CompressedData[" 1:eJwVkltMznEYxz+saDGsC9bLKPWqOefUgXR6i6zo4NBFmlgrhylM1ObCFsLW mDJxYdNcNGzm6m0jzFrrxiRby7pAhmEu2MxG8XHx3ef3fL/P8/x+/97i99aX HZ4EjKqvyVC9Htq3QHAh3JQBGVsIGfrF5mUZEGP9Ih6SZZ9covc0CfalQ78c 2wQzV8BLecH8UQFsNwuXwuByuGvdL2/IfPOBfGhKg0Lzy/ph63Pyjny+CB6k Qp7ZPXklAB3z4H4IdtpTZ/5jHbwtgW+y0bzRfCzP71EtenPsaZCX7KmVp/Xf rYVU+UHmy5BqjoPXub5R70wQSmSrHNIbWQaPZZE94zm+x6x7GyR6X4r3jegF 7e1Z499Ddssu8y4ZYTacCO9XQ7TnSNXsvl/Z8FsN65fb+zcWPnuO0ov+L88x cobKsf9PFkyo8VXObfWsptvzcSPMkrO9IyCv6XeqV3P9FrMhleDMqKxa4Iw7 prpv3HqajHUuzzwgJ5tV2/MlE2pkwDrNrNt9JTJofUh/irO3E6BCr8isVPb4 /loZZ3ZQhs1PyiOq16xFZpi1ygGzdtmmnpkdqHSvqlPHVL0atOdnhf9z7i9X Yb8n1/mmKjilju+Cs7K4xt2yZL6/Wwpc9Xxefl/s71sOt/bAQ2cLV0L6Bvft hky53zxHVlpnySjnLzp3wrpNNpi/WQpHne91PmRPpHdNVR1611Wn6rOvwDs3 q2wVUnkqwn2JOyBJffIdE753pBqeuGtY/gPD5aJN "]]}, "79900000"], Annotation[#, 79900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkltMz3EYh59mohqNjRUmHZj9zVlSRP6VciqV1IyWpEZbmdmUajNmxuYw 2ZhiYy4iho3lAhc5X5iwtZoLp61NXdiMtbX8ebp49vy+7+f9vr/v7xBfUVdY Gwb0y5tYuFMCn3bBPT1QBPOKISDhM2HjKgiWQZ5+FYBcfbEccvRL94Yq4Z8c tNYg9XLAvqad0CwN0iiHJdJ5JfaWSpnr3VIhNfaX6FLZKtukWF44P3IPRMkN 596Udvltf6tnapNL0lEBt6TQ+a32tkm+HPV5GqVZmuS5857leW4pkaFS+CPd iVC7w3NLtdTIXumy//QSaJHX9pzQqavhmH5itl8fkk6zfTrOrEo/dPaD0Xt4 nbYG6uJgrFmNTnKdb73dPEXHuq60PpAO5TpkX5i1oFlMks8/H0asheso69ES MBuvE3S32cfpfjvPc8WZsUthivuidb9ZlP5rfVhGRs9rFpYBGc6boCdJhD0R epz88DrkrMJ86PF62NqQNNgfsRb63P/deo8e4/r6MrG3XQdmwyOdpHvNFs2A xGmQnuwce4K6KwhPpdd5H/RnHbYFvpqdcl+ftYZZkJkJR/QZ/dPs+OhaqpbD Wfvr9NQ5fgs9OJrp5CyYnGLuPb/Y88tatT3FC+Cu2QXPc97stj3BAriv35qf M7+W7Tcz32w9V+pX+M2tZcXD5XX+M/Z06G7daV6UCo9dnzR/nwMTF8I3HaMX F0J2GrwzC+XCdmtR633XUmB901z/o5X2uo5NgKsbfGe6RZdbHzT/D99jqxs= "]], LineBox[{21016, 14630, 10159, 18346, 12037, 18359, 18363, 14641, 18352, 18349, 14854, 6943, 14832, 21013, 14841, 18335, 18331, 8632, 18560, 18562, 14845, 10263, 18549, 7448, 21139, 21136, 15068, 10272, 15060, 18575, 15059, 21283, 21278, 15038, 10400, 18876, 12167, 18898, 10406, 15052, 18891, 18888, 15287, 7031, 21408, 15275, 19180, 19177, 12239, 23494, 23500, 23456, 23491, 23488}]}, "78200000"], Annotation[#, 78200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkltIVFEYhZdQZlAxQaFTYY5aOOo43jJvqDNpXkhzpsyMyjQTGXIGoVRE ESUkwbSMHooS34bKGwZKmQ8+iBqSJoi+JOWTSUhKECJCnw+L7//X+vc++5x9 TOUep9tH0i80bZQGi6XWYGkUxt6VYtAnakuRlF+OUqVm8reXpCaYRz9dINXd kbYipCzmslEuamfmKmuu7K2jfxjO2luSMVoqg9X0afgZyI7amHcwW4hS6e+T 32DOFSl52d8Af+NvoD9omPl+ZvvQX/p/zL+okHpuS69QC+d2ccYGWAWbYX6Z NMl5w0qkDt6tE0VQP4VdyEK9fV16RF1zU2pEX8xSJZyB1XCC79QRK3WjqRDO DRPT+G7wM9lH9q+ldqbzXU7zLLIH0IP3gewaTCJz4+0jc8EQ+gJ8L3kCDA2V AvEMFskKq5gRtJH5kx3E32HtfngEPxDPTHaA2gTnyBZOcp+c5zV7BsRJx5jZ xPeyl2+GdBRvm2yH+Voy4aWznwE20vuRN8BD9GvURZe5H7RIvYC/i1/PvJ9N WqZfxV+E3nj2wDMF8V9B8xn+J7zv1EvIekoKPsEdn+P57GeDE3ZpHC2x3ze4 AlUo/SBrZ/0yXj372S9wj/AJ3CBbIWujvpfAXTLvhsfPchdwfW8Wxmfyrud5 B3Ij9JBbYSUcIHvOeZ5xnvd4Noc0BGfJuqKk3izujHyIvCaR70leB3suSi/R JDPv4BwcIXMmSWP0j03SfLZ02Cr9hP4w2illJktfyXZzpBI8Q65UAafIHCko jFm8AP7XN3n8F7AblpKtk/0HBYepvg== "]], LineBox[{21015, 14629, 18345, 18342, 12036, 18358, 18362, 14640, 18351, 14635, 18296, 7411, 6904, 21012, 14840, 18334, 18330, 8631, 18567, 10266, 14844, 10262, 18548, 7447, 21138, 12097, 10271, 14825, 10268, 18574, 15058, 21282, 21277, 15037, 10399, 18875, 12166, 18897, 18901, 15051, 18890, 18887, 15286, 7030, 21407, 15274, 19179, 19176, 12238, 23493, 23499, 23455, 23490, 23487}]}, "76500000"], Annotation[#, 76500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{7028, 7543, 25604, 25609, 23454, 23473, 23470, 8775, 18857, 18862, 15284, 21276, 15273, 7029, 15285, 18886, 18889, 15050, 18900, 18896, 12165, 18872, 18874, 15036, 21281, 6983, 15057, 18573, 10267, 14824, 10270, 18579, 12095, 18559, 12096, 10261, 14843, 10265, 18566, 8630, 18333, 10155, 14839, 21011, 6903, 7410, 18295, 18299, 14639, 18312, 8576, 18357, 12035, 18341, 18344, 14628, 21014}], LineBox[CompressedData[" 1:eJwVkklIlVEYhp8Ia2GlVDQ7NmhhGtlg2XBvV0vjUmqKSmUOizDQhFAry5SK ggYaVhHhIpKQMpKyYVmRi2aIjLBhlUWEUZQRgj0uXp5z3vc95//+e/+Eyt0F taOAL+prMpRlwoA8uxE60uCQTEyEhFzIM3tcAFX6Ue5L5FAOPEuA0EpIM5ui 92kDjJMv5DGz++shfwXcznetemfBeb3nqRBMgoYM6NSvkzdmQJd5WzacNn8y T285BMw75Bnzc+bXs+COStWrtTNN9udBtEzXb17m+4SgVU42H3R9Ld7nyhq9 93Ph+1I46b5ZPygbZe86+KA+mg1vtrcQXrp/Ix/KVs8FzP6ahZylxPUk/VtL oC8I3fKL/KzivS9KvpvjO+kXe+aA94zVa5RDAXhl9jrd39asUPW7jtTfpz/W dZMM2R1tNjgT/q2Fer1Ys70ywm57HPxYAz/VVP2Lm2Ci7JsOc2WEZ8ao5MUQ 45nx3nfZzlvv++2ZPypgNix3eleq3Sg7MXKinO2ZCvNE93Gq2s5ouzUyw32R WZf31co9eklmDTJ/ZFa9u2Yn5EG9oFnLyLzlfmN6D8watsHT+bBrpF8I+903 qTp1uMrfugRSSu27znaWBa5D8pT7JNePvCNc4f9Y7Px+q/tktWyRF8rgkmpT v4r8ziqdNxZuhmGLHND7ptqd54qqToHS7bBVZeoX2I+0d9T+OBnUW63KzXeo aYt8rmxRYf0i+9H2jtufIHP0slSDd9erHmfNXeV34HxX7TTLsPuw51Ls3XPm dN/riH6361bZKXv8L/8DATCqww== "]]}, "74800000"], Annotation[#, 74800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkktIVVEUhj8lgl5KL9O01Jtpl/Iq5qPscU1NUynNLAsqxIKKukmhUpAm NIheJFINGwRBT8FErWjSoEkvgiIHag0qa1BIUkYE0dfg5zvr/9deZ599dmpj U+3hKGBURZZBXz2cCsD5Orio7lt3yQG9qO02qTPWHda3zMrToGUXtKqyrVCp YhfaXwWBnbBIVektkRnqoevyG6BAhfXzZK7qt3+G60r0CtV+5+1Tj/Qu7YbL 6pv+d1Wn123/bOfNUeN6CTJefXD+RBb8VL32HLTOXu3e3GdTGII7oNTnEbNi 3zu41EyO7oVP6qM67pwsGVKtfmubdbM84PpnQb/X+vEm6MyBMdeeTIaitXBC ntUbMGuWNfa36KWbHZURvR6zOhlyD2vM4zN9vzxiniobzAJmM/WTrGNkpsxW 5WZBGZY/nDmYCNecN/1/r2sy9BPlVHvSlsNQAkyphjifA0Vww3eMue66jLae pBaYNbvmt2smnBdtP2pcv10/zp4v9ld4bm+sw/KVvLLHLMnrYO821ZPr/1jn flVyimcpP6s+/SHZK2cVQ32e5z4ffrkm7HPHYhh2/w/MNjovugb+mr0zG9Fr c9axEpgcgtPynPpqNuy6Q/neTevb9kzIezJc6j/Qz5c5KrbAf+vMeTKS7lnK fv2gZD28lHfcT3izd8rnp/Zc8F1XzXrcT7dZ0wq4a94iizLghXlXGbw1HzSv XOnZ1/q/5etyZ6pp3r/3cq4MmRUXwvNU+LPBM9CLqYBG+cSsehWkWKd6V9sr 4aZ+p+yVkS3wD1JfoiA= "]], LineBox[{6906, 21017, 14627, 18343, 8575, 18058, 8574, 18309, 18311, 14638, 18298, 18294, 7409, 21010, 21008, 14838, 10154, 14831, 18322, 14830, 21135, 21131, 14810, 10264, 18558, 12094, 18578, 10269, 14823, 18572, 18569, 15056, 6982, 21280, 15035, 18873, 18871, 12164, 18895, 8704, 18837, 15049, 18832, 18827, 7492, 6980, 21275, 15283, 18861, 18856, 8774, 23469, 23472, 23453, 25608, 25603, 7542, 7027}]}, "73100000"], Annotation[#, 73100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6905, 14626, 20905, 14634, 18061, 18057, 8573, 18308, 18310, 14637, 10145, 18297, 7408, 21009, 12034, 10153, 14619, 10150, 18321, 14829, 21134, 21130, 14809, 18557, 18554, 12093, 18577, 18581, 14822, 18571, 18568, 15055, 6981, 15034, 21129, 15044, 18543, 18538, 8703, 18834, 18836, 15048, 18831, 18826, 7491, 6979, 21274, 15282, 18860, 18855, 8773, 23468, 23471, 23452, 10521, 25607, 7541, 21403, 21400}], LineBox[CompressedData[" 1:eJwNkklI10EYhh+ToCKDQjN3zTIrTXNJLfm75BqhaXuUlS0EmiYKiaVBp5aD KUUd2k6RkWBi4qGgQ4eirIMkgUaHiqAgiFCkKHsOL8/M+37zzfx+Mwn1zbVN QcAX1ZgCg7thSF3eAT1qJAbm7oFhGVsPwY4v6D+0pugY9Mm0vdByAFrXwEnZ Jlvl7dWQtB/uyoBrClWxOp8PIfZaqPKdj66FvENw07oG1zW7/rhskvuOQk06 XKmDKef39Kdlr/Ne68Ptf1Wut0+mylZ37H/D8+Y6nkmD6+YZeiWuTZMtBX6r alJvzErd+71n6LA+wjN9cs8o2el8wD7t8oS17e7Vpp5VQXcG/HBdVxwUBOCM vKg3bNYqc1fATtfEp0Kd7DDv0k/Vj9TL1wuXpfKUWbw8aJ5gvszxZBT02yvM mmS9MrNk/YD85X7j5kMR/g9r0jNdb02SnG9NolxQDfNUmOOEQohT5fbKkn3u Fyyjzf5YP6Om7Bdk/az9fup32i/Mmq/WVni/Y84D8q28dsQsGuZEej+uGciC JUXeqYqNh88yUcYUw1OzULlY7cqGv9ZPq4DjcythwjONmG21X5n9grfBB7NJ vbP2OL3Z97cOLsmP1n83m5ANG3yfeg+smZKPZKDEO9BPT4Icx4tyfNf2Wyob 9VLkY/1kOStHZXkNvJNj5t/kS3mr1G/yPP2epynXt25NmyxYBa89S0+Za8zH zSvz/O+1UC2fmIf63l6Uwz/zDP1UVbQRXiXA7wr/gXlIJRyWz82qNnk3zuOX +8+3wH39bjkoG7fDf6uin/M= "]]}, "71400000"], Annotation[#, 71400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkltI02EYxh/DKEiEcHm22VBnZpumNttcTXfSJDMP1DBFrBE5S6lIBhpE QYcLWxidrO5GioWODC/KKy+6sG6iCMqLvMjoIglSRtHBnxcPv+97nvd9v//h 29bV23Q6QdJXFCqWYoelZ+h6ixRB0zlS4hHpOczpktaxvoI/To0rKI1CS0Dq bZf6UA86h86gh9ulvKNSPnLSU40eMOdilTQCk5nnwLN3SpVohPqT9HWjIGo7 LgVQY4k01CHdQFH8YXhzTdRvYXYqKmFOObrH3EfMvwNt7ONW6TZ1pXhuei2w bx/vik6hN2RuzvagMPWZPFOM3gHWE7AfnqCunzNq8qQv9bwH/E39X/QTxdEK +k52ySjd38XZ1Jh2Si30GmE7DJMNkhWTZeA58FKhB/pRkMwFO2Aa/JQlPWmQ DNSY6fHim/ELkLNMWsiQimCUGis0UpNC9pRzilxSId6Gg/TDXPZbkY9ZZdCG TPhWmAXj9C1z3kdmrqfnB146mQEtMs/LP/YjJ7p7TLqFDNlSQib/iPqJcmlz NTNzpY010hTnpMNs9JLMkc+7sm6tkP5Q3wYv43XDC3CarJ55XuZ9wGtulOZh 2C2dR4kW6RrcBANkg7ulz/RF8MY4cxlOQqdHukpmLeBu2Pi27OfxZ2EIbwfe FGsz/AdfQ98h6R18S/4NRr38Z7gEhyvxeaZxas6y3muW5niGiI8envc9We0e 7niT1ABfkKdw5175uR9r34dvardLM+Qu+L9W+oVaqUmqkzrhLNkBB/+HvdHE 3dsvPcYfgjEYapZWAfwyoBQ= "]], LineBox[{18037, 7377, 6865, 20904, 14633, 18060, 18056, 8572, 18314, 10148, 14636, 10144, 12033, 18307, 12032, 18327, 10152, 14618, 10149, 18320, 14828, 6939, 21133, 14808, 18556, 18553, 12092, 18576, 18580, 14821, 18570, 14816, 18504, 7446, 6936, 21128, 15043, 18542, 18537, 8702, 18833, 18835, 15047, 18830, 18825, 7490, 21273, 21270, 15281, 10395, 18859, 8772, 23475, 10526, 23451, 10520, 25606, 7540, 21402, 21399}]}, "69700000"], Annotation[#, 69700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk11IU3Echl8rDLx0qZQ6XbjpbC6YNttcHJmbK62saWThNGwJeWHQRUQJ UkF1U4L5gUKuwj7wo6JJ9EVQFyF5EWEk5EVBHyQWQdkgTPDZxcNzzvv+f+ec nfOfpfVYuCNF0md4bpaK9kvFcLlBsmErPGqUHudKOa1SL/l5WLtPMo5IqdiP 5+n/N0vL0BGRVrVIKRCzS3/JEmAwt4j/wC2fdJUZL9nSZmmIdWVkUWZL8SRd JCo1w22ycRiDK6y7hq+Di9kYHoYTzAwx4yFzg7lJyoU+1ofot4MfqiEIcdbe cEk34Q1rYvg0c8N4kv4BfRfnbYb0rVb6ApUF0r9D/E74DQlYhB90Z/OkQWbd rLGUSPXMmXETPknXSbeJrpzzj9k8G52L8yi5QRbBmfgD3dhuyURvow+QW7GD zlcqfVov2fEIa5x4HXk6jHMPe6VUSJZaxzw+w1wBWTB5L+wGC7kTOyDB8ZoN 0kLSzPzCWeQm+Mr1Agd4X+CDgcO8ezDlsFGYGS2TJpi5i9P87AeIc58snA1P yb1WKYPjhi18Y9YexOfIjuJn5A+hhusFuN57svAeaQ7PsuZUlbTaKV3EabiR rtMt9XPeDXfy2Uf4HvYFpAt0Thvvo1yq4nyO/AV+CcVkcWzDy3gaB/dKM/gt M9/xSJBvjH/inq3sAfpROM7xtkLpNc/QXc0Mz/uO5w15eLdhaRd+Qp/OHn4V Ym8k3w/f0OPlN9IbOFQktdA72FMldFPkOyvYAzvYIxvZdzX8H+gv4fu4vV5a AWkVor8= "]], LineBox[{18036, 7376, 6864, 20903, 14632, 10044, 18059, 8571, 18313, 14625, 21003, 14606, 10147, 18306, 12031, 18326, 10151, 14617, 18319, 18316, 14827, 6938, 21132, 14807, 18555, 8629, 18289, 8628, 18517, 18519, 14820, 18508, 18503, 7445, 6935, 21127, 15042, 18541, 18536, 8701, 18840, 10388, 15046, 10383, 18829, 7489, 21272, 21269, 15280, 10394, 18858, 8771, 23474, 10525, 23450, 10519, 25605, 7539, 21401, 21398}]}, "68000000"], Annotation[#, 68000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{10529, 23435, 10532, 23484, 12237, 23467, 10524, 21255, 21392, 21397, 15271, 18847, 15272, 10393, 15279, 21268, 21271, 7488, 18828, 10382, 15045, 10387, 18839, 8700, 18540, 10260, 15041, 21123, 21126, 7444, 18502, 18507, 14819, 18518, 18516, 8627, 18288, 18293, 14815, 21000, 14806, 6937, 14826, 18315, 18318, 14616, 18329, 18325, 12030, 18305, 10146, 14605, 21002, 21007, 14623, 18050, 14624, 10043, 14631, 20900, 20902, 7375, 18035}], LineBox[CompressedData[" 1:eJwVkktIlVEURpcEkc1EGqRWmvnWyvT6SMvS69W8lamZGGriC2tg0FQItW4v KooQrFlUk0oTQ8gsqkEQNQmDoAYJGjjoAUGCJFHLwcfaZ3/f2f/jnKSOk/V9 UcCcOt4Aj7bB5Rq4Jwfk13QIl0CXXkhmx0PWBmjTD+nt3gnT9VAk/8XBcgK8 roIY/ak02F8Myfoh+UF/Rv9qCEbUWBFUmrklH9fBdfm9EuYL4Y5ckO9T3SOD +m9llP0L9vKs11rPJcLLIHyW5TLWfo7+uQLIlSX2crdCphwzM1wB/XpNh+Co 6vF9TtmLNvMxxTkBqLPf7rv+tl4sNyOnZa8cMvPGusFZSbLZXrG9p/lQKuPs TeTAahmtRu0/rIUU572yDjfDAVWhGlWdGjAftxcS1M88aDW/yvyiddYev0cl Wke2QMA6aD5ZVsuBlZ7ekEy392CT/77Mc5TBlb16sc6bXe+/WJmnVyYzzVfL 8YPwRO+T57pOr2WHZyo7Za6ZBJ/xRa/AXr+9ZjkoS/RS9J65f16/1n7A3oje oM/+Foaldv9JNvySu+SyLDOzoDeTAd3uOX0YJlvdI69lwm33R9w/a+a8vOv6 jF6NmW797Y2evcpXE2biW3ymswpd35RJrkc3e3/MnzXfZb+zQ6px8ydc96oe FdG/by7i/IJS/0kn9Ll30twf7+9f9cP1UhukZnlXj3gHnfNOTZkJu96nqlSa Psf8RrMh56xx/osm39M6oKatb/icYRWTbN51jrroN16xd0lmuH6+Ef4DIKKf gw== "]]}, "66300000"], Annotation[#, 66300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNk01I02Ecx7+eSkKUSGputSku21rNzG21SnMvLjczm9oL+Tod4sGigxcv vjQq8FBBIB2EMBFNU3uhpKI8RF6CEIrwUOKkLmWXhMjC9Tl8+TzP7/t9fs/z /PcsN3YpejFN0ldUWyittEjLKKNVGjBLmdBxVpo9I71AdUel63lSqlK6Cl/i ucm8giF4AgXReqO0gVKonHVh1LeLPhGpF76LSQFqf/B/ox/0+udkjp6Q6WRu o4+L/RK10liDNI7idVIH2kGPaXLbYZxerdRG8IfRJGvN9ZIFuambYA56SH4T eRc1J4qQrUD99L9XxH247xcyCXiX+Q07Z8W7BZ+R+2CT5rj3AkySayuVftZw dpRqlkod0uhJ6RP+EOt72XMQVpFLGvl+VVL+Psmbj0f9HPVu6IKf8Y14hXgx ak7op15zkN/EIPngNOtD0IZXAu34XrjtlLQVORj7j0tTnD8L7z60Mi9AxXg9 rDMx/steGeQr2C9BzYx3BR7AW2PchFePVhkbyyQD6iFbfZ43gnyoEoXRXLE0 Q3YCTTJ2W6UtPr41eQN8Ch/jtbk4M56FWtQivYXzqJ36cxiHa/AXbMphr2pp kfFH1mzeL132kzHRB+8CXrdbuk3tAb1sAb4bGS/0wAl8q0cq2i2VUVsk8xou w/QgdbxreAswk3l2LneA76l9ozbMOAm/w5uHpEenpTswUMB+cLCctwiXYOdh vntUykMRxrNksnjDb0L8BzjvBuf1eLkj/jEY3CM14Nt3Snv5HYJHeLu8nzBc wZvC6wpLLfjN+P8BmSCnPg== "]], LineBox[{10035, 18038, 7374, 20901, 11972, 10042, 14429, 10039, 18049, 14622, 21006, 21001, 14604, 18304, 18301, 12029, 18324, 18328, 14615, 18317, 14610, 18258, 7407, 6900, 20999, 14814, 18292, 18287, 8626, 18522, 10253, 14818, 10249, 18506, 7443, 21125, 21122, 15040, 10259, 18539, 8699, 18838, 15033, 21263, 21110, 10386, 23410, 12163, 18852, 10392, 15028, 10390, 18846, 15270, 21396, 21391, 21254, 10523, 23466, 12236, 23483, 10531, 23434, 10528}]}, "64600000"], Annotation[#, 64600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{10034, 11971, 18044, 11970, 18054, 10041, 14428, 10038, 18048, 14621, 6902, 21005, 14603, 18303, 18300, 12028, 18323, 8570, 18270, 14614, 18261, 18257, 7406, 6899, 20998, 14813, 10143, 18291, 8625, 18521, 10252, 14817, 10248, 18505, 7442, 21124, 12091, 10258, 14799, 10255, 18529, 15032, 21267, 21262, 21109, 10385, 23409, 12162, 18851, 10391, 15027, 10389, 18845, 15269, 21395, 21390, 21253, 10522, 23465, 12235, 23482, 10530, 23433, 10527}], LineBox[CompressedData[" 1:eJwVkltMz2EYxz/WjE0L44ZKOuj0p3MpQicJnY8oSrU51OSiG2wyG+nC3DU2 l6E55bCYNsXMpc3GzA2rNDbn6cJhUz4uvvu8z/N9nud9/v/3F9naVX1oDjCl mkOhJRy6t8GNZJiMh63robUGimSifoJ+k16RXu46eFANWfLvcvgdBk+2wDPV lwOP4pwlA9Z0yrfFMJgN/fK6LNQ/L29XwTn5cTN8+6+18EuGRcKQXCpD5HPz p2MhVc43Hl8Jo0XwWubJEhWjd7XSnZIgxzhZxsuAOpIFA3rdss192933cCHM s+blKudkQoV+vfrheboAfqouz7Oy3nueyioZITfY06Z3pwKGVZbzgswPr4FM vWsZ7mJ+SI15rtgJEzGQL9/JGnnc2hX58Mb4czo0WrtHTXtOyfN+2as3KxeY D1Z/fIdQvXCVbj5W3oqAWlnqvHxZoAJ6i63Pk6XGd61J3wQZqtjczXJr5eQy qJYF5utkhve1yF3qg16HrNdrUD1p/q/60d4zYv+Eu5SZ7zff0wQX5asEuFQG G1fDTAt88vv5otqsm9juO+qPlcILeW+3727uRB1csfeMO17Qi3V+nDoa5Rs5 43sAkqxJVWnqpDUVrVCuso33J/ouzlqSAgt3wGP7Ws13qE4VYf9kI7xXB7x3 n7mDcsr4mLUpbXC5wW9FdhoHZJfsMxfUDHPVYLvfv3MK6/0/VZk66+5R7jdq vsR4TEYbD9j71d7KXHgoTxnPuHOvrDU3Yu19FdAL8a5FKliN73VPVePv+Acx /qZF "]]}, "62900000"], Annotation[#, 62900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{23477, 23479, 23432, 23486, 23481, 12234, 23462, 23464, 21252, 21394, 7026, 15268, 18842, 18844, 15026, 18854, 18850, 12161, 23408, 10384, 21108, 21261, 21266, 15031, 18528, 10254, 14798, 10257, 18533, 12090, 18515, 10251, 14785, 21117, 14805, 18520, 8624, 18290, 10142, 14812, 20995, 20997, 7405, 18256, 18260, 14613, 18269, 18268, 8568, 18031, 8569, 18302, 14602, 21004, 6901, 14620, 18045, 18047, 14427, 10040, 18053, 11969, 18043, 10037, 14417, 20898}], LineBox[CompressedData[" 1:eJwNkklI1VEUh7+MDKJAaFFqWqaVQ4OYlkOUQ2rk9N4zLXnly2cDJSnhxk1B NElBuyho2WBSSEWFblJCaFO0iAjCqawohMyCSgLpW/z47jm/c88993//KdGO UPs84JtqToRIEnTuhvub4EM67CqClnookxn66fphvTK9okLoD8FzFXb9rxLO FcBL2S0H19lLZuq3ydEK6MmHq/KeLNW/Jh8E4Yr8UQ5Ta+H7VvjjOjEF+uRS uUS+Nn9eP1suNI5RLRvh904YXwWVMlWvNwB55vONN8r1MsN9XVvgpl6njCZA 6wroKIM3ayDW3Hv5Nw8arJmRP0vtrdpdz8kGzxiWAZksU1VU72EdPFZ59osx l2ufF7meL5/LPr1nsrYJJtKgWH6UIXlqAySVwBk5Ym6+deMy1dzUSigshgvG c5shzj5j8TDrOySYzzEXkAWyUdarKvtUyFp5yX01epdllblH9svZAU9kxLhc L8meySroukRvj9xsfUQ2qS+ed1yG9U7I7XpdcrAWhvQmnKVa72oOnN4PN+Tb DLhV41ur4vUw7f9DC3yyNmrtRJX3icCkXJTlvycHmuGrTEmGO/Z4dQDuyuuZ /nPeZcFB+Oz+im2+metp9/VbMyNPGketCxgfldXyiKyTs/6vwVZnXQ2L9/ke Mk4ORyGr0Z5hWH4I4tUyNeKco2rS/O29nn3Ye8izqlsFjC/KetnirE/s0+O+ dOfolZky1ru1+Q3SnGvIeMb7j9lzXHU6f516Z01QXtGvl2PGIdlrz6fOdcz+ A/KXez+574t3D2XDf+ZwrvE= "]]}, "61200000"], Annotation[#, 61200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1tI02EYh38TU6Oo8EKYqeUwj7MQLbUDaamjzeaaS5elbqsszYyE8DYq jN00OhB0u6BM88KKgmmjiKKIsIggzewgQqyTRaYdRj1ePDz/732/7/2O/3Tf IWeHQdI0fDNKV9xSH/yolYbqpLa9UjscgN406a9PisKbZuk9vINAnvQKj8FL GIUR+Eq9IL4I36nXgy9De450DV+HWLhFvZuwm/ou5qkDJ3Swju56qRXn0jZD Hnyh7pMmaRimqJvPOs3QxfjT9D0LiyAAp+BPqnSvUboPdngED2FPrhTGdyAE QzAIn6hv90oOiPNICRAPF+j/nPwLGIZn8BRMzLuP9bdCiDWF4TYs4FxiGBcL /9inAQs+Uj+VfaSBgTnmQwKUmzknG/cAo5xR9y7JD8fgBByHCGM7C5nDzn7x hgzOEzdsZH48Sd6Nm8BGzAqhZayvTKonllIjVczlad8gXkB+AFtoW6GanJ+a W/OlyrkY3o4DxErI1fBdgI14dqn0mvkWUzNKbD2xUohQz1QujTMmpoi3gZNo G1OoxT5roYUxk8TdO6TM5dKSTVLxCukB/QuxgXYR/bOSeRv09a6mJjEXfT/g Cdb1C0fhILkzjJnle4pvl0OawSPE5q2RjmzmLYGPel7qdRIL0qcLZ2cyz0op o0I6Sv4q8R4wFUtVxMaZbxp76BNXyTlibePdk/czdiGxxHSpHyfjn/gzuQi5 8yX8L7QdxINV/AfQS+wcvoTHcFuplONkTTicJZ3Ejy3cNf6NG9ZKd8n7sC2b veDDULZF2r9O2skdePgHLHy/Jd+3ilpW7pc330juPwTqv2w= "]], LineBox[{20897, 14416, 10036, 18042, 11968, 18052, 18055, 14426, 18046, 14421, 18004, 7373, 6861, 20895, 14609, 18034, 18030, 8567, 18273, 10137, 14612, 10133, 18259, 7404, 20996, 20994, 14811, 10141, 14804, 18280, 14803, 21121, 21116, 14784, 10250, 18514, 12089, 18532, 10256, 14797, 18527, 18524, 15030, 6978, 21265, 21107, 23407, 23405, 12160, 18849, 18853, 15025, 18843, 18841, 15267, 7025, 21393, 21251, 23463, 23461, 12233, 23480, 23485, 23431, 23478, 23476}]}, "59500000"], Annotation[#, 59500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk11Ik1Ecxh81EQmTiEBdZcucWmnFKi2DlWahMudHuYQt3cy1vtShSETQ p+GVqTmivChNAsuCgiihNSW9MfDCuihKWBHooqALiz5E+3nx8Dvnef7nf95z 3vc1uhvK6yMkzSOHQXKulnxF0ll0OVeaSZcaobdCOgYthcx3Sc2oiMwFh8ul KvjngHRppzQOr8JAGr1gOvlxGNpPf7wnOVKYsd0o9UIb/Fcg+Rd9k/QtW/rJ PBF/EC6HS+EKFCJbKJU8WVI082o4u0+aWisVQCP5Q/ILSdL5VVIKnpmaNPq2 7GA/snNk7YwH8qVI2AyXwHeprGF8hV5R8Nd2qRPvFOyGc3nS50xpGn5FNfgx 9HNAEz3N7Cf8aDS2TYqHcSiVfvYq6ct6qc4mlbukgyiB+pV7IYqg3giTUThZ ytkj5aI5s7SMNb9hDHvEUmfFL0HZeO30LOWZEqiZ5/1Z8NvwiskKGT+jVz2s oMYN/WT5ZAbqK6EHb4iaQov0Ap5h7sQ3kTfCETwX2W7WtTAPlPBOYThRanVI HzKki/AjbIPv4Wwx9wQHrNzJUWkriuK8eZs4A2yA8WR9G7lruHmL9KCGd42i 0G3qg0c4N3kv4zh4B3rd0gk06ZRubZAmYA98Cz3ksaztp/Y147twHNrYrwwF qOmidgheh0FYC8ehH1phNxyFf/kHOg5zn+vYGy7ALjjG3lmV0huerZ/eBvaY ZJwEJ+B37iSzjv+E2gzoha126TQsY34SHoLuNdJzej2ulp7Sp2nxfPSdxptB 17i/HuY30Q3kI79HrY97i+S+Oph/4qwvyYJIeKPwFRpGneQj9A2xZgoF8B6x d1Mt3zoaZByTIt2HP3jm/w6UwQU= "]], LineBox[{7024, 7538, 25597, 25602, 23430, 23447, 23444, 8770, 23398, 23403, 21260, 25032, 6976, 7487, 18812, 18817, 15024, 18822, 8698, 18848, 12159, 23404, 23406, 21106, 21264, 6977, 15029, 18523, 18526, 14796, 18535, 18531, 12088, 18510, 18513, 14783, 21115, 21120, 14802, 18279, 10138, 14597, 10140, 18284, 12026, 18267, 12027, 10132, 14611, 10136, 18272, 8566, 18033, 10033, 14608, 20894, 6860, 7372, 18003, 18007, 14425, 18016, 8509, 18051, 11967, 18039, 18041, 14415, 20896}]}, "57800000"], Annotation[#, 57800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1tI02EYxp+ZiUREDmlRI6duUzNFOmhaqJ1MLTNWnmB5Qgs1nSAWXWim LQtmJFtiXagXhWIEBRWBQaVhBEZ1k9WFolROMgg0OkjSz4uH3/c97+H73u+/ hZe7HHUGSQuoYYv0dLcUHCmVJEid+dLdQskLjXhvSqW3aJj9aziGptGdTVIy +fHUe3Kkz8S/IAPrerxbJdJt1IV3E/WQf/WQ1AtnyyHeQ+IP0D10mjP9EdLF AmkGVrMfK+Zs9A5ZybejRuo/sT8DR+jzkfVm/Ovk+1Aodxo9Ib1EbXmSG1nJ bTssRcIaalrxhok/R6uYJYQ7G9FSrGSm3k5eO340rCX/EuvL1IyT/x652Q9x 7hO0jrNNqJ7cQXwXTKBHCG+wlp5rUB3rlWVSS6UUBAPQ1gppMkYaID4F53mb D7DdKf1gbeHcG8elCTwPXlwus2+TrqQzd5hUmiY9gy48GzEnPEtsCC+T2GNY yb7LCon5YF6cVIbngLXw0XIuzCaeDlPRv43MQ79ccjqoSSTmgQ5iwdu5/wap ivgifuweKQa5yU2Bc/SzQJFngqHIZGZ2avKZuYK6oiLWyGqRVu/lfdAL8gPh CLTBhh3ci5qgo/wmWc/ifUVTnLMIvTa+I/41+BMG7OP70q8JNqMVifSABjgA O2A/vfpQI2u7nfePlyL2k8/9znOWOUn6Q9wCf+HPo2JyAg/wfnCJ2CQxI/v1 4fzeYTf+Apyj3zdifujbKf3FO0JOXwazQj+8j++M4neSLH1n78UfP8g3R268 V/AC/A0LU/hPOvjGMCuaWaALpWZJJ3dJp46xhzPEWuG5bOaA/fA/T3q3hA== "]], LineBox[{6863, 20899, 14414, 18040, 8508, 17817, 8507, 18014, 18015, 14424, 18006, 18002, 7371, 20893, 20891, 14607, 10032, 18032, 8565, 18271, 14601, 20990, 14586, 10135, 18266, 12025, 18283, 10139, 14596, 18278, 18275, 14801, 6934, 21119, 14782, 18512, 18509, 12087, 18530, 18534, 14795, 18525, 14790, 18479, 7441, 6932, 25010, 21114, 23337, 23333, 8697, 18819, 18821, 15023, 18816, 18811, 7486, 6975, 25031, 21259, 23402, 23397, 8769, 23443, 23446, 23429, 25601, 25596, 7537, 7023}]}, "56100000"], Annotation[#, 56100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{6862, 14413, 20798, 14420, 17820, 17816, 8506, 18019, 10026, 14423, 10023, 18005, 7370, 20892, 11966, 10031, 14408, 10028, 18024, 14600, 20993, 20989, 14585, 10134, 18265, 12024, 18282, 18286, 14595, 18277, 18274, 14800, 6933, 21118, 14781, 18511, 8623, 18252, 8622, 18485, 18487, 14794, 18483, 18478, 7440, 6931, 25009, 21113, 23336, 23332, 8696, 18818, 18820, 15022, 18815, 18810, 7485, 6974, 25030, 21258, 10381, 23401, 8768, 23442, 23445, 23428, 25600, 25595, 7536, 7022}], LineBox[CompressedData[" 1:eJwVkltIk3EYxh8zC9SLzqUz5xebc7ZMyEyt0Tk3U3QeMrXmoRkiMUsqgg5k SOlMqEUoWi4SFQQruhGsLCu6CeouvCmEsIiyiG5MJvXz4uH3f5/n/R+/z6hr KvZHSPqNmh3Ssx3SOPKmS8FD0p1EaeywNF0nPYEGPRP4SXBVvfSuRtrMOIf+ LNRbIJmpO+FL5j6sZt2NUvfCWuguGs2Xhr3SIvw+6kg4Qv1zg3SWPc6gSPxv 1CcZD1mkSfJE+qz4NpSC5g9KXUfYh7N1QzteL+xBD5jr5mx5qLVMcsFcFGaO lXNdxWtBAdSO7Hjt3DuA/rHPeu5iw6tm/0C5dII9OuA1ehPYx4ROkb/Aj2f8 mvPd90n96A3jFazxCj5lvzjydWiE/ZfhT+DHwnR6b3DWxbXSlJ2zl/I+KIR+ Mc9gbfPC3ag/knfQ6yiUTm+R2nZxbzPn2yk9h348C1kVDPFe58krN0lX4Di5 D/rIbpGV4tdQe2AT7MErImtk7IZOGDZJa1hvNVqZId2kJxp6yJbCRvwGNEd/ 6m6+B2plvWzoREvoyYQZ6D1jezz/Ef3H0PEKzoLG6E/dI6Wht/QkQwtq3sq3 oj+qiP+QcadV+o4/Rf8cnIYxZMqUbpNF7OWeSdIF2AYfw2iyYTiErjMepD8I HcnSPWiFxj7pYoJ0ib1M26RZeszwMtks2dE0/sP9nBXOk30iW0691pA+wy78 P7APej3SQJY0w9y/eAX0hA5IZfArfERWZeO9s6Uf1EH8D7m8PYxycUf8SfIw XnkO36yYbwtdKbwH9COnW6rfzvuVUMMvZC3wXB73gIPwP/uCsIQ= "]]}, "54400000"], Annotation[#, 54400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNkl1I02EUxp+VBfZBn0SszdQstbmKzMrchSs/MguzLJu4mfvAukiRLhaW 1AoS/Jg5QpmmQeRF/UuJumhFUJE3EV1YObuIqGwVRUEg0U32u3j4nXOe857z vts/zdt0oNEkaRo9S5Eul0u9qH6TFIFuOEA9dkTqhwmvNH5UmoINAekTjNik 8D7JQt4N83OkDriKvB3WMMOok26hG2gE3UbinOGhjpIOS/eYVceOU+zywLvk QeJZeM2wnnlNsMAlTXDGwvnX0Arj8Eu2FK2VvkGjih1oBAUdUgaz1qCb5G/p L+cNCfpeuKW+9VLAz7uhH05SC7HrCnkh+8bTpZXwFXTCUeZMH5K6qqUcn2RH ncRFzA7DYricHTMbpTHu9Q+W8Dsso/Zkr3SNvU+pLyE/z65F8DH5fRTm/t2o nxlD6KFV+sn/8ACms7ePWhd+O7JVSCdzpbZC6SIy2GFi/thqqZX6UIZUa5da 8FwwBB/h+aAPP4LvJjZZpFRmVdMTpVaBd5z6MWTdIs03SwuhmZ6l8BI9Lrxf zNrsxKfWgPeXc1/x7NQuMMsBf5DPwc8jzkUvibOYF6PfiwL8lz4Uoz97J2fR c3pK19JH3JwnJe/n+0Bu4k7qU/R+xKvk3guoz0MzeHN38U2hUKp0GrbBOzB5 K98E5wziDuJh+nugbZ10FWYW8X50hnmt3M28TfpDTwo8S49vA2/FH8CP4psq pXd4i4ulFWncBfbS8xsOQjf+9e3cpUSqwp+AceofYAKN4tVkSo350nfyHnre lDIbJu3mjdTj+J4d3J18kvrsMuk9LIMt1J3QgfwF/IYHpRPwc5Z0Dgb38BY4 DP8DEmy3mw== "]], LineBox[{21387, 21389, 7535, 25599, 10509, 23427, 10513, 23449, 8767, 23400, 10380, 21257, 25027, 25029, 7484, 18814, 10370, 15021, 10374, 18824, 8695, 23335, 10247, 21112, 25005, 25008, 7439, 18477, 18482, 14793, 18486, 18484, 8621, 18251, 18255, 14789, 20988, 6896, 7403, 18230, 14590, 18276, 14594, 18285, 18281, 12023, 18262, 18264, 14584, 20992, 6898, 14599, 18023, 10027, 14407, 10030, 18028, 11964, 18013, 11965, 10022, 14422, 10025, 18018, 8505, 17819, 9928, 14419, 20797, 6827, 7343, 17801}]}, "52700000"], Annotation[#, 52700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{17800, 7342, 20796, 20794, 14418, 9927, 17818, 8504, 18017, 14412, 20888, 14397, 10024, 18012, 11963, 18027, 10029, 14406, 18022, 18020, 14598, 6897, 20991, 14583, 18263, 8564, 17998, 8563, 18235, 18237, 14593, 18233, 18229, 7402, 6895, 20987, 14788, 10131, 18254, 8620, 18489, 10241, 14792, 10237, 18481, 7438, 25007, 25004, 21111, 10246, 23334, 8694, 18823, 10373, 15020, 10369, 18813, 7483, 25028, 25026, 21256, 10379, 23399, 8766, 23448, 10512, 23426, 10508, 25598, 7534, 21388, 21386}], LineBox[CompressedData[" 1:eJwNkktIVGEYht+pTBPL2yISLymplaMpVo7ZotRMM8tuM8fyMh4NXEi5qGC6 l84QuUjBGzIaMiEoEkOLcDG5qCBFDIK8QBFYDE0JgptopT6Lh+f87/f93/nP P5Nq3rx4wyIpBK/OSPeKpDv4EXbjDshKk1pZN+6XXMek8grpR6q0BS/iiHKp jnwhU+oslLayHiD/elrqwn/LpHpqj6nNXmBvjhQkW8Dz+BI9G6ckn02qpe4l X2Pdi5dxEL4XSA5qS3ggQRpMlFZLJZOehxlSEvm/avZQK+D5KjXvUSkDD+OD 9OTx/HYvlHAuslA6Z8d+1hMQzayX2ENPGF4/Iu1iZiUzq3nfcjHfx5675C/w bRxBvQ1nUisjmzksVWAr68lsqaVGKmbdeJ41BGCOHttJ7mWftI3nFVzE+in9 VuzBv8l2U/uD88hWUyTjBN8FseR7mBOFIzlbIm4l76f3XD73g+3MSKFHnLuW mkn+ALdgH/V2ng16XPgaHiK7T+0j79FZabyKO4FO6n78GkbpsfE9hdB3WRqB QJL0rU7KcUiHwEs2Cj54R62dWgc8AQ+4YeQAtUppCj5ncW/0DtPrOi7FGVI8 lJD9v8JvCvZkfl+yZEgAo4kMVtjjYM8sMw0cZO72XGmMvVPU/GThDfxGMEEW iXdAiL5oHAPz9dJOHAW3eI95XWoCJ6TZJQuEwxuTjHqA97u5pzAyD7Zw/ud4 nP3P8BA9007OauW/gOOZEwex8Iue983ST2aNse5hxhd6PvE8A9MwCV3cSzc4 +ZY2ztrL8wfmbgI8kKzl "]]}, "51000000"], Annotation[#, 51000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVjL9KQnEcR09GY7hIQ+TgUrpUk5kKoWCJ1qAthSAkhBBY0AM0WejdKihq cGi91Bo0WvTnHXoB30CiotPw4fy+5/O5N9E6qh9OAJsmloJBDmbkZwXel+C8 AVHvcR1Ot6Fv7tw09b0kFGUgW/LE/Y7serfd/5qI+zALa2WY1D+uwpRMu33Y g+k4LNt9L8CbHXYZ7zABWxtwoX/Wj2vwZUZz9vpAjz7vO2uO//frUDM/Gbhy +zFr3Kd1Bd2+LMmOPDBPi7ArGyavv/abW1P1fVmCl3m4WYFXeeY2Z3fv/wK7 oe4PxR84UQ== "]], LineBox[CompressedData[" 1:eJwNk1tI02EYxh/FziSGFZiaqXnImY5Ml4eLzMPUDlvbdHkopyVdFKtMYqWi UKFFaFgmsrSwJG9EwcTK28owL7rICkLsYhUYRhEYoWW/i4ff9z7P+x33X2T1 GZvbT9I3VGGEVdIcWrRL53ZIN/dKt/ZL7fBpjfQM9aMB9Ah5KyW3QXp8Quph /NolTaLOEulaCnWE9OQAHjQ5pRa84GhpNflKVHuEfY5LZ1Ed42i8dawTiBJZ 10ptQ3b0j3NY4CE0kiUZyKdYeyGK9Tj7CrRIzw3qdNYro2dtMfcJl5zUL/FD 2GMCRsDhauk3uYOsGL3A34T/HG6EHuabHdIl+JC3cNL7ACZUSOPs46C2Iyvy JEitR3kX+vvRLu66gTWDUSrjCe4/S25kfI/ePnruo9usdQd1og6UUQqZM3RQ yk2UrvPuOXCQepk9/blvM2/YS289vEAeECbFW6RjO1l3u3QSvwG/CpbD5VDJ F8Lb0hO3W7pLz1Z4iiwUrtkinScLYlyYLf3grE6yeZhEbUSbyb4wL5ZxGPu5 6T+NPuB/x38DTWRTcBx/DLlQdgzn4U5jnM2wTyqgfkVPHqxL5XcnK9sm/SRr w7uI95nxJ2RhnyLOtt4q/cUPyJGu0tsLA5N4IzjHnFVp0lfYDkfxRulJzuXc qAcvBnphKUwzSUuslwWvxLI+bITzZN3s18V+7/FKDksfoY/My14zeXzH5JX4 5ahvD98jni1SepsvTdPjgzNwkrwpnTtRd5H/MkvhydwB+hfwm5JNx/F/y+Ds 1O/o8StkLjRDD74rnt8nk2+Nb/FyEd8THIIteH/I/gNEDbJM "]]}, "49300000"], Annotation[#, 49300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNjzFLglEYRo/R3BIt0SJh1lJTfJpQiWkiDmZDUTTUEDSk+AOa+kQdjAqM Ghpc+wFB1GIQBf2E/kCTqwSKneHh3Pd5z+VyoyfVciUCFE1vAerLcJWFUN7J D7v7AG49X5tCAr5n4WEHUp4PcrBvXvTPZBCFTbnlLilXzdec8U7HO0P7WBxK 9jXdjW1oO4/tWzJw/tX/0x2Y9yTc2L/JrLtXWSvDuem7H7ubP/SdFcjkYXIR nnUm5Lrz0xpEdmGkf2ou7ff0L/SPZcs5LRvySHZT0NQPzUB/asl/23/q/xRg xvlRZ1r+A2rwOjo= "]], LineBox[CompressedData[" 1:eJwVkl1Mj2EYh6+WsQ4wTUw1Kn34r++plByEvn3kH6UUfU0HqMiMOcDYWMOB 2ZqlqAlzkq1lNocOWsaZrzHjIEdSK2MUba4Ofrue53f/nvt+3+d9Y5s7KttD gHH1ZwNczoehcsiMg4syII/oNVg7vRmKy+BTrGH5Vi4uhQ9J0GatsBLi0yFE L1r+KIFuM9PFcC4PXgQ9m+Ys92/kaxm0Pl8EA7nQaP1JJDyNNqfXs5BNhI+b oMraO9lt/Zb174X2V2V6l8zky797IFvW6NepwRxokc9iIE2OyJHtMJFg74Wa +XBnDOktlX2yX/3LhkPWZmWZ83Y778s2+KrO6E3LKVVrv45aKLff8wo40AT1 Ks98bwsU6DdYL5THZMB8wVaYjIf3WXDUM20qynyCfpKK0E+XM+t8D9mVCiWy VC231mk+Rgbd/zTTWQC37ZeoF2ctTi7zmTPkBWv91lo3er/yoL2SzIQ675S1 s/p99XBeTgRgeBcUpXhHssFsowq6j/Od1qsbZm+qcbM9O70PObsDrlX5Dezx +aDfTY36XFn7YUyGew+Zrgf3wUN1xXqXqvBMlVqx1u9jj4B9k1W1XqpMUY/9 91bVwGrVrt8oW5thjWeaXEfKE/odKtp9lApzXbsFcp171fNz9l6UAUvUL/cv fe7f8p7ZYXNV1f7n9qm2PlHnf6WCelNyUs2bHTB30vw316HezYS8rzdmblTl +H4Rznvl+66UdxrgrjqebA/n9bpuc33dO++QDw77D+k/8ptMO2NGze11tncc 5rep81n+A6lhrI0= "]]}, "47600000"], Annotation[#, 47600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1toj3Echx+illCKi43MTsyYLRs7qbHZbOawkx3swP5rRdhRpByyUoyV Cy6W0WZWil3MRK7MKXOtSMuFibGc1moWKc//4tPzfj/fw+/wvm9EoKm4cRYw pkLDoDQZ/pVAubwTDYXytvy5Ay5thh/ym+rdByHL4Esd9Pg8Y8/LMjjSAC/k 3eXQt8lac7fklTVwU34y7pEP1bi9n9W0vU2rXaMKhu0rT3Qfzhi0Zk6U/RX2 qOfl0BkJ6fXQIVPkL7182W/81f5G5zTvcR9ywnhcRbp2m15r0Fcj1kY6b4nr XK6BE3FQoV8WcG3V4fmKjYvULjVl/8n9cMG++nhIcs2AvG7dq3B474z2JLho baeaLoAPejPyhrOf7oSStfBMFsth+VjN9f7mef46Z+XqD+kNqgn3ftp53dXu TR713mcH7zoU4nZDmu+k33eyXp4xlyAX+O4iZIT5GNmm36Km3F/hFgjXazG3 UE7aW6B33nXL5V4Vpl8qF8voYOx6Ic5stueNXpZepopdAYcqITsGamWmvOb9 p1pf5Vkq1RN7Ws01qgrrv2f5btXxDfBRHpMh2e55IzS4Rk0h/A3mnNWrP38d DMhFMmCuy7pHxkNBOS9+q7EMyD5zGSuh2ufkFPhjfbps18uTk/q5MjLHu5D3 gt94EbzzecyaLtcYNffA/d83153qd2a+R5atgre58NqaMTkqR8ydSvM8xlcj nL8Nlib48+RBlMwuhsPpnsF41HxqPhzQz5GBWM9urlYezPAu/Z7ObodEOSDP 6f029x84U6yT "]], LineBox[CompressedData[" 1:eJwVj7FKgmEYRk+34KguRiQttUiaP5mklgYRqThYQ4RtlV1Am4EgmRZJS0Nr F+DiGhR4CQ0O7S0JLkF0HA7P9z3veb+fP3baLF8uAPuSOoR+Et6WoVuA1ioM zKc59vdmT0opGIchbSbdyZpt+xtZj0FmB7YkZx+N+67njyg86j7Ir/2S/YH9 1dzfhZnd1FlHbp191e38fslZ3/uP8zsz73204V4ZzuVb/89+8QgSa7BdhIIM dTbNQF7TniP+YAXO3KnpVuVa/8RsSFaOpS4vAVzot/Vn+j27rrzrf+7BRJ51 QivwD3OwOxY= "]]}, "45900000"], Annotation[#, 45900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkVtMD1AcgD8vYjFtWDTUP5EuioluZkqJRCqVbpOExVRePJTabG225vLC 5rJGrTUzxjT0ptaTzWYebGQ2l6mYS5qENXw9fPvO+f3O+Z3fOSdQ01BYPwMY lZ+roC0dbuXCDXmYCCN5kBgJTcZfFEK9saztcFgn66EABG+Do2mQaT7S+L8c CNNj+oL5r1vhZCo8KYDXYfBqCTw1NpQAxdFwLQUGzV3Vvebvmx/KhrcrIcjY iP6VDOWuGdcBc9l6LAty9CnzU46HI+xLpxpLM9a1AfY7r5J0zyrQfa7p2wKX pnO7oVbqPO+ysRDXvFsBf9ZDpfFqmeO6IHOzpcX4PF1hjc+ZUKqPlcFx6c/3 nP0Qa//J1rtyADqkytwRqZNo12/KgAx5ngQN7nmm46ffRBcaL5LFjn9EQZnj 06shV7frMWNx5vKd58l4ODRuhgld6zzKXJM1myXBcau5tbrbfSk6xniSDvG8 zkrfR65Lj3TLlxjv6n/Pkpx47+595kqwBA5CuMx37/ydsED2uCZUv6zyv2TA cUcsTO6AN84ndOwy/2edvTpv0z3ma71LcDXM9J1KNtqz42Z575pW3SInXHfO +Xlpl7NyRqaW+i6+a7lE7PXOslyaPSelxL+XiSL4YM9B1h+tgG+lvoe9f9f9 MiilzsulTA65t9MaXVK8Bh4577evAX3PWK9MWvOuviMLfYORfdaWYfkkH+Vi nGfpMfki/2rgr9y2ToPnNEq9PLbH39brm95nnw90qDV3+Tfn/LN8fdM/K9FT rivSi8z/B8Lqtt8= "]], LineBox[CompressedData[" 1:eJwVjz9LglEYR099BMcU5CXIrQZR04Swf4qLqDikQ1CNkWvg5iCEkkPh4tAq 4dhgW4t+hWxoaG9JeFvrNBx+z/095164wXm7dr0GVOStDEsZ78GH+S7zHRi0 4E7CGvTqcBWFR51Tu5bsy4WcSUe/bjbkUv9X8vqTHORKzvKchSOzIEn9uG4g X1Vo60f0X3QKRTiU710YJqDkHG7DZxP6nm/1V/IjoU7xxHfsU86b5kz33t0i Bhl3UbsDd/H/9JwK/M8xvG75B/u07mQDpvo39h0ZZaBrrus+mF3f7JsDGbrL eufJO3/7GDxN "]]}, "44200000"], Annotation[#, 44200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVjjFLglEYRo97Q42lhhokOBikUSaKhal8g9Q31lSNge1NNQRNOkQN/QOz rcGawi2iuTHbhSjQzaHTcHju+9zzcm/y6DRsRYA96S5Aex2Gu3BtPlThXiJJ ON+BC7mxf16GM8+9GKy5mJPyBrzYX9rn9bdqULDreJcxF9NQsutnITBTznn7 hFlzHnv+9v2J/pV87cOnjPXrdXfkR2fbrMhTAeai0AphpJ848A1ZXfG+4b/9 Q8Z81EubSzITh1l3eodw4l5cf14mug0zkPL/fAy/sqlf1B/oT/VD75pSSsFb AO9yV4RX89b8MP8ACLk8fA== "]], LineBox[CompressedData[" 1:eJwVk1tI03EYhl/ThJokRomF5tYqaeYBMk8VaKZZZNoq3dDSZjYTml7oZCUR SJAIXZQ4b+xkmyuvushRFIEWQdkJgkiEjo5CUWtGhBQ9Xbw83/99v995Mzma ra4ISXOoq1w6lCVdLJSijbBAioJWvPNk8aulYK3Umirdg244fEy6T/20UpqC M2gUz0v2HO8leoWiyqQx+Ax9rpN6yRfjuTdJt23SErPkJwugm8iWKdmRAb+t XloK3fCuQ3KukaobpA7G2eAZOFIlnYIZfHtgJlzBfieOSEbWeg/97MuHPlDn s8YT5vLSG8ncJrgI9sI/SdK3w9INi9QNfXAatsMQHIBf4HU4CW1HpSo0xtyD /88NAzCGc7qof9IToDcMB+E8bGZtF2okv4p3Al6Dn8ic1PHcjZ85HkEfXAmX cx4j52rjzkrR6F7pVo00hO6Qhzdyj3jT0Ic3C6/AGTgAYxnfyTvm8J6neeOF ZOkcb/wbNvG9Gd9Dbob1fDvQhTT2Cn/Rsw9ayGbXScXUyYm8Cf3d9ITxEsh+ wEqycepU1ntM/oY6awfzowf0euy8HXIgN2pFZ7dIZfTHVUgPGdODdwl9pd9Q JC1DHfT0r+e3QG3IlmrpjYUhvET4EfaRNbIvJ3M1kHvxg3hBfscVO3n3dKkO btvAfZPlwdwc6TjeJD0LcApaijkvvhka0Xdq+37uAYYYE53L7wg/EsaV8D+A 71hzhJ7L1AdT+GatF2Tj7GeCrD1P2m7l7uFr8vld0qoM6S80wUKypnzOV8pY k5S9m33hF8GT8C25Z6uUvpY98M7DeEN7uFPYckD6B8zOvEs= "]]}, "42500000"], Annotation[#, 42500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNjjFLwlEUR09zg2uYDhpYLS0JaulkakZB2iI1VbQU5dwoDW2B0dLSnLY1 hGBE0BDRJwisRhdDw//W0hkOv3fvO/e+F9urV08mgC05mobjKLyswatcL8O7 +SbZOGzsQEX+qvC8C0v6Gf3RPgSS864sJQliMGVG5FC/rR/Sn9SPr0JC7jMw b85JS/9jG3ryW4Eb/UEY+hGYKenLMK1v1nWL5ngBPvW/5dyZQH6cGevli1CQ Rc/rZlke9LNmdNY99i/0m5L2fOCOxwTUzCezoZv0ru37pwXo2LtKQdc8s8Y/ 3K04Z31p/2vTfb7d1L+1/w+M4EEY "]], LineBox[CompressedData[" 1:eJwVkktIlFEYhl8rdylSIOrkZOEYg3fSsUmLtEkwHNQxTSE1BQ0htFLDlAgk 0TQtL1jSGGSQ4aKkTBBDkLyskigwxUsLHUds0dBimlz1tHh4v/t//vOdYxW1 jho/Sdtw0CQ5Y6X+dKkH/CPQc9J+NC9JasuRJsukhmhs8i8KpSn8YbSP2PJV yRQjLeJ/x16CLXhjlFITpARyvXZmwhyxT/TOwgj1o/CS2GQ2M+EjfEiTfMfR Imkc7oIHf+ay9Attxl8tldZhAxKZcRLuMGcHvwmdr5Dc2CnEB6l/CsGcZbdE +gmPCjgPxFDbyTej0Rv0dBPbIe+GAP4hjDMbQPyDkf5Y6jqIx6E3qX+A3U/P H+q90I7/jHlOOEzPW/wxCOccRqijr5V5t9BE5h2iJhQ/BOqxJ9Bg7nSO/t9m +q9I7y9xF3CAWBTfNME7fA/51+Rb2I+FPTWxm72j0n1250Or8f9GSmfI+dDH 7LiKWBdag3qpsaNm8pmoDYxH2DPz6mGTuJe+NbSA3Ao6T3wWvmHbeTeWDHbG vMZi9gLl0AB1cC9Zyg6TgnKlaXoGqR8g7qY+4Lz0HL+ZGicaaOG+iD3kzb1C XcQMxJzYT+Aa56piVh+xMeYNoA6blAPWOKkMPYtOkLOl8M9RUiWxLebtobuo +QJnJtdLLhLbg12Uxz+iLmL+p6QfxPehQZncObpAfgaGsPNP8Nb5xmdyK5xn lfPctkppDu4e/UI+Il7yC2dXBr5/WvpKrhq1ZknJUEk+A72OLpFrTOVN8aZd /989sdGL3Cdamy/9A8YStEM= "]]}, "40800000"], Annotation[#, 40800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNjzFLwlEUR09T0EfQHBRMg/gHLpr/RkvJBpUgqKVMCCNsa2jJzYYCa2pp rgiChpZAgkDb+gLV2hJIIS21dIbD7917z7uPF6/v1VpjwIpsTMF1AbqT8F6B NznNQsP+iZlbg2MzU4VZ6Xh+cHa4AO0Atp33rFfNhtQlm4PniDv1057DRcjL vX7JLEvGfsEMzMDs+37fO2ebvuu9W/fcSCsOqaJ7ZKibNBPyof+pf6H/pX+U glf9K/2ZEvxY383Bt5m0noj5T91Ladbgz350HUb6y+ZBGubNfXO05b/1H3V7 8qvftl9xHibgZQnGp+E8hIHnJ9nV34nCP+CXQW4= "]], LineBox[CompressedData[" 1:eJwVkktIVlEURpcYRigE9jLL1LA0fFb+ZmqDsoJK0bQHSpqYgmSZBJEaFDYQ wkDNBNMGRkQ2KQWb9BNqRTUIImmQRg1KJKkIByGBQsvBxzr722efs8/dN776 QklDCDCrGkohmA6PDsOInC6AlM1wORcmS2DnBsiIge2HoN58eRLU5cAHczUy 1DzmY829T4Tm3ZBr7pKcioZPG+HdQZhQb7KhzD1B+fqo98mV+iHy6wFYJmfl DxUbD6ny7y7o2goFMsl4Ng7+7YfvskaeVfnmnhbDnjSoNM6WpTJgXU8WPDHX ai+DrsfzIUr2y2g5vQUeuG73vEg5YLxWf7U1s6kQoTcje8qg19zzIns2F6mu BvxO+kX6VbJYtsig+wP77Nl4IhNeWvNF5uileE/FXt+VAN/0msxF2FuM3ylf P0mvXqbKBfc0ur7pebWyQ87r5ZmrM16MheuyW79JNquAuVbPfHjKmarhY5BY DaPOKNTZjskRvfltMGR+Tr7SD1Nrkp2LXCcfVzmDExCnxo44O/0o/bZCWC/f Go97brz5Wych7Qykqy7Xjf4/nbJDTbuOy/Asdc3aj8bteXDR2voav+txZyjP qfPqT4Xn6XWrSO8osI8p7+s0/iwLjYc8Y8TeF+09y/sX5LDxKvcHjDPVDhXv /plK/yvnMOidc9Y9k0GVbD81mzzHdYR7w9UKFbb09qUa+eI0XJGjskWOy2rr On1HQgrclznytuxWd9zz03fV1cIvOWmvv+WA90xbe0+2OaNev+cNeVf2qTD7 K3duy/03evX7nGe37Jfh5v4Du/Wt5w== "]]}, "39100000"], Annotation[#, 39100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkl1ozlEcgJ+p94ZaoaUN4zVsa5uNFvZxYV/aejHWsGX2rUWxC5kVTZKS ktcsH1siW9vNSKamiYYNG/mIO6XmOyTKxT6Ex8XTc87v9zu/c/7n/IO1jSV7 IoDXEs6BxHnQWQkXUiByCWxLhzPGy/VRHTDWEYKmRDjmfJ8+7/yE464trpWf VfClFs4lwatqiEuGb3qRfqkvx0LIfoPWrdcB64r0dNcW6uFs2GFNShpExEGv 8zRzzcZ6HB9xr7ee8Z2MyQd5L1Oe5XoF9MmdUvvL0Hw44Jr7OsEz3TZW7Bk2 yKT1P7Z7XvkuEzIujfWQWwZ5kigFki9b3X9is+uk0D5Fcsm+j937osbzPvNb RtfBiHTbf8TcqLTa95F+KPfMBeSW6wck328etzZHr5FJa+/ar9/cNbni9/QK 3n2b73LQ72/Vh/XvBdCgs1xXo6sl6Bu2FMMpa6YWQ/L/nnq3ua+OU2Pgjd5v zZiuNF4hSQshI9e7cZ+PxkN6ufNs+9XUQJU8cU2J8UPlrrO+XXc4P6nP6u46 KLU+aiPMlqiV3o3xmXlw3PpO3SXRxtv1HD2oe3Sf9VelzXH6Uvdd5hnyfW/7 9Ru/IbmrYKexz/aKKYBd1sTr09aHzIX1L51sLDYIn3Scjl4LM1bDLB0pfY6H N3n/uiweHugXxof0Hx3O8C1KIFOaHT+1JjYV/nqWaXOhLhOem2vQ5Qmew1xa kXfru60wvzcLbvqPNekq/4kB8y3+7/Xm68z/A901qGs= "]], LineBox[CompressedData[" 1:eJwVjzFLglEYRk8EQX/hIwcj0gglK7J0LkMHy8Chpk8hhKiWIoLoo4IaanFq qFlbgn5ANGVbf8C9MQppqanzDYfnPu8974WbbOzX9oaAuvTX4FLCSZjfhGoW CmbTnjYbZt68zkM3gNy6vufTZTiRSH/b+5bU4z0JZWER3vRTZtadjHmkfyBz Sd9ZgVnJOZ8xM/I6Ju60Q7hxJ0jBo2/t6k+X4Nz+qR+ZE/YP/XvdO/nSv3Le 1+/G/ir82J+W4Dv27aMJeNDtSKsGf86DLRjoV8zjNBTNQ3PQ9N/6L7rP8qsf Oa96XxiH9zKMTMFtEYbNnn1H/2IDzuQf2vU/kw== "]]}, "37400000"], Annotation[#, 37400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNkl1I02EUxh/rxgJJI0XL4ffXdNNMdG5CbJrUFNTlx2RusymiIApCmLAZ pF6EWIgfUDeCZBZRYYG6CEQlyBTtwq666aaCsJvSIELzd/Hwe9/znHP+//e8 b0qg19UTIWkXWc9L0+3SP6P0yCc9QfPoTIb0ulqKglN2yV0kDcPsROn3Delk vdSfI/3ySJHk7JN7K1caJacfHrAfgJ9apblGqZr6E8nSG+IRsLRJchKLTZPM BVIeCpfRO1V6DvOpOeuH9Ghk7UbN6Bz1schMfIV/MMEY8hapeWeQ3hI7Ta+/ /Juf2E+v5IN7eN42aZP+Rre0BU1wIcDZGyQPXgv6QDyT+AbMgEFqq+jpRDbO Mk/f1SrOBCfpHWJu4zAIJ+Aa3wmTW87Z/idJ0fzrEXSwf0rOMt4ieokO6PGi hbx0Zsbc0pntSA33YWJWzPQyNbeJW6EfJuOH8INon9gRdXuwG+8HNHOX23hf WNsdnI85e/CMsIS9BX3FK4QFyEa/Vu7Shzapq+Obg83MifwH8CH7e3AazjGb 6+TX8I24Wu6hGJVzPnSX/Fk4Bt/DJLw1uIIes35F/jNoyZSW4CXorJDu0G+I fsv49hKpk9h3eiRckbrM3APsgafqeKgW5k1dLjFDivQNpsL4Su4b7w9eGBrY e4h/hk1ZvAliH1mvw0N4v5S5unjTcBd/Fs6guKuc3cp7uyDt4HewdmfzH/nE rjFb7vUiXp+NM/AObkIfby+MH+L9teEH8I8BH/CYSg== "]], LineBox[CompressedData[" 1:eJwVjj0vg2EYhS+DWUJINCQ6tYSW1lfblQqDULFoCLqJMFQQ3wQDEZb+gyIS iR+hu9gkRouhS31ELLgMV857zn3u+32C88uZpSpgSs4CkJ+D5zE4krhhTEYj kFBTEpJe6ZGTPrhyp3Pcvt/bg/DbApcD8KNO25mRSXnMwYPcNDl3p8Od9n5Y dScvsSB0p6E+5D3zWjWqv7d/4ZvO5dSdRvNb7y3abxuCfX3Z/o765jufnFXU uLNjs1dnh/+39HcJyGVgVl689W5ek4WuKDSo3/pP97/UOv11Ej7sViQr62FI m2/YXxv2n/qinS11RV9Iwe4EbErZfnUrlOyWRmChGQ7M9+QPfyBFtw== "]]}, "35700000"], Annotation[#, 35700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkl1MzWEcgJ8zNdKFj6RNaU6pc+jjNIu+SL5KUXGGSFEntm4wk65kES5s 5QbFRcOkzY1109oMF9lsmRtxYzY3blyYOcXGIo+LZ8/7/n6/9/e+//f9B2Nn oqcDwFtpT4fYarhwHCYi0JoHXRUw3gZndZH5AvOFtVAsA+XWhKFPv49Cj07d DcNlcF+mQ3BTV5ob0HPVMC+vSyGxBtqC8MF5s87QE8Z/5EKSTnOeIg8KYZEO WhPZ5foS5/vhlPEc5506Xfe7rspcgrkt+vIquJQBtTuhQcY3QYk1j/XYPhjR kzsgngOZjl85fimp9nuqn0mK8U5rl+oG+0Xt97ADRqX/CAzJoLSs8dt1r0w1 eoft3pP15dZHtsPnYqjTX3SjrpcXBbBVV8kn429c91XXOC+y37lt8GctzBjr NfdNb7BnyLfpMXdRKo0FPP8te12xJtv9uo0n74XZdfBR/9RL9O2DUG099h52 PuiaIRnIcq9631laN/stsjzT8+2BrBP2lMIWzyQRGbM+dBjC0mXPmK476Ru4 psNxhu42fl7ynedJsuM2+1Z4bzdcv8z9k4rgqrlrMtXkXftdKyRVmg/BUemz 16DnyPH/y5UmY2EdErJ9S3vG7TepZ/UT/c6aaSm1Z5r7rZTAAd/Tvt99l5B3 9Pz/2DPE5br3NaMXeo+BjbBYJ+oE1yzQZd75vWPwa71nsfa3vqvvyLzf9Vfm 5JE1I9KTD/8A7KCUrA== "]], LineBox[CompressedData[" 1:eJwVj88rw3Echx+1lJQQkhzsMmba/Dj4dTXixOw0CXPnYCNElhRSUv4B0XBR ovwBSjs6KLm6KLsI4aI8Dq+e7+vV8/7UN5ieT8yVAJOmLAwH/VAuH0bgNga5 CQjYiwlYGYd1c6izMAyrLXDcB2ty0b6sH9dfsqf038yHyetUu381w2cKfmSt vV2/Qr7bn8dgSjdtLnohOgSb7i89sCU77W9RePR+w57TfzGvpqiTd69z35X1 8lxe6R/Ja1nlFtOrkV2D0BGEbBxuQhBxj/hOmzlrhPtZuHRP/t/KafnbBCcD cGp2uuFpFPYaYF//Tr9gQnqtJmwK+gFZarZ1K5OQmfHfTca7rHfffv8BhSNJ fQ== "]]}, "34000000"], Annotation[#, 34000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNj0srRAEYQI+FkoxH1JRHZpJBHpNSDMshsWKwMEaTsbIZj1IsTKMmj42U PyAiGxviB9jMWoStjTIbYmvhLE6n7/vOvd0bzqwmsmVAWr5bIJ6BwByEFyEk rVIzC9WyP6UjUJ6EYgi6dcq5XSd1cRmOmuHN7lUOBn2v+8tR+LNP2xXcdU7D o/dbbyl3uT5YH4N7513vdzrrHBmCPduCtEl9B5za39hf6aDzob6QcynZlxrh 0zYvL+6e5cu+fxwG5MOmV/fIdcz/aYKlBLzbBxagSqJRaNBB+fX5Ol0rF8MQ s/+xn5dRd3HZst+cgG05s9nQa3IyAiv2OzN+l33eNicP9k+TUNkFxzYV+h/Z eEbo "]], LineBox[CompressedData[" 1:eJwVk1lIlUEYQE8plGJCIUIuoYamRi5UbhWRZSptapqapmUrES3XgohKS4og IyiiBQrzKY0WiCjKwh6MFgq0evAl6K2HsnKhINLOfTicmW+++e7MN/9NbNpX sXcS8Fl2ZsEuyU+Af1WwqBoKpKsBamdBoBCapdP5TfmyDkIXwn5jue45vwzC ki1krN3xxALIi4G+RhjeAi/15Er4tAEObLeWBOSetUddG5MB1/rl7mKImg23 dZc8lpQ4+GmdifWQvhnSpDkNot2XPdfcbZClu3VPE+y2boP1X3mHev1a98mI ZDsf1t+t90OGJMZ9AevF6Vg5bs6x4D5rZdXA+yTI0O90w1YYj4fLm8xLh0u6 RV/RR3SrZxvzLH+dj+oW53XeIdk7RDq+Os9zmldsj8LsZZHO9LzTVsMS7xOp l7ovQhc4D9eH7GmS+6fb00F7f1rqamGjhNj3fnM+SKt5Oe5NDfbF3CFrt5g7 rA+6FpBM32ul71blvj/GK3WvZyo09lyv1TXGvrpW6rhE2nzXMuvNLLMn1uv0 dzvkm/l39H25IN1yS5Jy/J7M32n+DMc9y+GJRGX4LegR68cb/6W79FtjzzxX 9QrPnwIPja1x/EAf1uW5cM16IeX2xnG7OXusFV0EN+xLuPEpMu5ahrGEROcr /VaDOfq3+VPzfA/9SMcaqzVnUDfq0GJ4Y3zHHLiYD9eN/TY24LwjOJeoEjha AB8r4KSuT4Vzen4pnNWrdITfTKQ89Z1fSK80+R5nfI+zckJOSZsE/L/9B46/ qGI= "]]}, "32300000"], Annotation[#, 32300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1GtM1mUYgPFbaIkZK1dagTTRyCKDNwOtPBQHrRyVgqdEUEEtRUVaW23k EBRr2Gr1oU1TEc1c6eZ0HbZmbaaWuHUQD5E1+xIm2Syr6ZaC/fhwvddzuO/n fY7/zKra0hX9IqLv5/spEcfw5riIk9yBA7kRq8ojGtBdGvFKWcTz6RFvi6l9 MqIObY9EvMwXMyOq+C/uL34gKuXsWBCRKiclwxjVEX/g7zkRPbiC98V/xx04 Oy1io/hzaRG/Do1IezwiA10PRQzjGrEJvpATcVz8STTIOYduOd3itml7D6/h Q+zEXvFbuBXDxTbjoPgs8csmRSzH6rERL/BKrBJfLnbf3fZlasRI8dlYIyZH e4X2dK7kBD8lfnuxHPWfx0SckHMKZ5T76U/VfuXZiGTlCYsikrjX/oyoiHg6 25w4C3dh3Z3+syTi26qIbzB3ZkT+ffZooXbU2p+VGDDdnqJ4lv3mweJuxXL5 02dHzMA0lKEUf9r/WnvfNTxisfpZXpqIWIJyOevN73W0YLu4bUjJj5ijL4z7 sTn1mOsnfJVXFBonK6L9fvdAuRZjhkW8UWC+nCT3zDMRR+a5N+a/RP8u47Sr f2odR/kwf4VD+Ef9Ei6jU9yPOI1D4yN+4FPomh8xZIQcbfWjjItGY4f1N/Xt kdwX73WXuFl9v3HXcrM9/9xe1ljLPOVG66/gJv7a/jXwaPU8PIh8d+P3yojz 6HXnC/13ARrkbxK7Gbl4Fxtxzd4mi70O7zjDFO6Pevt0TT2Ur3IvepBn/Gpn uBA3WdMg3Ixd4m8Um4obsFt9ICf87x5rKbKWidZWzAX8GI/nQh7HBfyTPT+N TjQ6yy3OsRVrlNt4K9Ypz8UG5Q7nmZCbi1GYb51jjZOtfMIYF/Mcv7N7wJnW OdscLlKfhMv6ytyBCcqPeq/HxB9wH2Zp+60vj0v0NbkL6d7D7Tgips1/t+K8 2N28B2/hA+xEpnezVOxiDFK+YJwviiJu8c4O8xBepm+vvn/1HdW237xmeIMz 8ZH2Et7HL/FU7/Z67zcJE5XXe481xhjsrW82703O4z/t1fp7eMBk8djaF8M7 +Dl9X/Z9h9TTMNu3qJMrOdk3qV3fopG+jQ8bT9slbW2c8YR8bb/ou0253vfy uO9iI5ff483xaN/NFp7Cqe7fHe71Z+7DUD7IC5zHq86jBauxFk2o83b/B7OX HgI= "]]}, "30600000"], Annotation[#, 30600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Gto1mUYx/FrggkVBaHM5tyckYe22TR1m84laVm5UJeZU6fb82xmlhko QVBqnqZbeHilNjMPk14Uoi4QM5IWpEZz2ihQ0VjmoYPs0MGcS/r44vv8nvu6 fvd93f/7lJVYWvpGSkTM8/NmXsT6BRELsyNW0lfoRlpBmyoiBuREHKX9aclz Ecf9rx4WsXVcRKn2layI8bSNrhK7NDSioTAi/dmI3WJ/T4mop1vFquROFqhB e4m3jYi4+UxEuXwm/Upu4Qz9xftqf0TvpR1DInryIxJyt2h9WsTOdJ6nI2rl 5ottpjNpb55p9K3JEW/j87ERK+jxQfL0GD01KaIZB+Vemx6xBK8brzEZcePR iNYyNekj8q/KDaKfiDWIbaH76QH6W27EPrpX+8S0iFTeNLw3JmLqUxFraZnc BtoifwbF6hTJFeOf0RGT6Shzmke/Nt5sOlefDrlW/uH2IhsLZkXk0jOJiJqM iBH+F9qjRvvRz96sM4++9LD2jyX2zxhrxVajgDcflWKX5H5CUp0Eao11UbuO VqtRhYm8TyLL2XhgfsSD2PUSj7GXqz+a933/n6CDeVLUHfiCPcdD4in8vbBN n2X8I+/61RhFPxDbjnvkeyNV/12z7TUmqt0pdlKfFbxd/r9Li8Un4Ib2H/gV q/hvDY745uWIblqr3UNr6G16mKcRh3D27rqhy7h/4U90Itu8U6sj1ljHf83v Jk6pt813DJXbSYvMbwJGal/1bddxDcO0++nbbpwOdBm/Qd9PzXORdT2hnbTe e6ZaZ9rHGSiwzxnGzMS39nqSs7CE9zN17zxmXaqsD3bgPu3vZzoDaB4Ykee8 nqYJ39MmV0l/prW8dajBRmzAAQxRf4r5NFvr73CZN6lPjrm2GqfY3HucjSL6 H+3Gl87/F1huXsvcsfPO/Q/O8wW6193ZgxJ38vE51gNpyEUOVrtzDfoMd/9a 9JkjVoZ3+Je6p7d9+2K6kq+aJvCxOvv0WVdpvvq9yD8ded6DzXQLanDBnM6h ib+JfxP/Gv4P5eqxmD/De5KJX7wh6fRhXOa/xr+D/wr/Wd7T2M/fTXvQid+N fR19rMv9A3wHf3mpt2euc4p2/kpvXBK7vXEVtBxj+Qv4j/G384/jzUeh83f0 eXFsGh9xhNbRFvo/wkUUfQ== "]]}, "28900000"], Annotation[#, 28900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Gto12UUB/DvkiwrtFdmzsyZ01wXfeF0bkYXL93JrTKvc1ub2xRWUYuI VjpHbuQsguy2sFoNDMJhZF5ISqwXFRqmUbOFmBBFbb5JSqH6+OL7/z7nnO85 z+8553n+RXWPVLUUJLnFT2Nh0nxV8tFdyS7orkj24t1QNjmZvSKZC0NVfLVi UEq/+s6k5dpkW3nyGG5gDxUlo2iHpyUr6d+l7YWR9L8/nPzKf3q5Nf4Xv0f/ LW5jn6pMXqV9DU5OSApvT1r5fylLnsJF7Gb6HvrL2e30m2m74XP6AfUv5n9e /FL8Mp5BX4X7pybF9O20HdBHX7swqYdn56iLm+DspGQy/RT4brF9aV8Ybw/6 g+p/AVeKLVVvAv6S/uT85DL24Oxko5wOeJz+U9pJNyaXiM0R28DfDkdXqg01 1clX+Gs4tExfi/VVfB9uvU0v6pMn8JPwwXXOIrYdj6vRz9JkDX8jtE1P1uJn 8Nt3J+us35+YHKf7cImZ1CVvyBtgT70++RNX4K33Jq9AH+0/9zg7lPD/JD4d j21IzvBdJHeHb+2HMertU69ZTtdSPcN72Z3Wo8U6cIO8jXiTM52WM0X+EC4+ /+3qXQG7nfnCkuRmOSPxHvZOd+0TPIL9+oPJBXgXe5S8HvabsEjdY3QNelsP 2/ha7b9lXvI9/3rnuWamPeFv+R/LD36LrgB3022GEjnT4cADzqv+Ymf+T/8W rLYHez5eiPvNoFY/f/TN89hd6o/Vm+PsASjj28TXCcfYR+HcLN9m/069OWyP OmeshlI1Z8Fy8z14Q/KQugfwKlzNd1beMuu/cAW+yR2a6e4duc8e5l3FVwk1 7lyf3vbK6cHv4O16sYS+0X1dA0XuSh//TvEX6X/Aw+wj+I/zfvp19GvVb6Hd 4X5+4x7vp310QXKre/s0boM9YvPd4fu9kw3sIZqrvZUtfKv4xlmvwOV4tLe6 S81ab+0c3zBNr1ojFrk39tsj1iT2Gd1EvpXe5xl8gqbA+z6FD4n3zDVbsTF3 JNNm2AMXQi//oLf9nP+cE+Ll/nNO4Ur8El+9/6H9ZjnejNr0fD20w2/m8rNZ DEIXu8ncus3isBn9D1qb+AI= "]]}, "27200000"], Annotation[#, 27200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVlFlIlFEYht9CKCor68Jc00xbLDNzGZeizDZHy5mccksdZ6xs0YRCtLES KTLEEEIQUbpICJFMmGqckoiyEtQWKPMitIIoaOyigoSyHi+eef7zne985//P MqElFebyWZLC+RkJlhqLpCa4fEAaL5FaiH3JkK7hOmIO6C+WHoBttXQ1Scra I2VC5QbqkPspVGogbjRLkcT8d0sReCHuoK8tURo2kRfFxLuYB//eKVlXSQ8N 1AeXv+QOlGYTn4yQAoj9wD64lLHeOHGHlJcg+eICHIyDwBMiXUiTzMRSGeOK l9Kwg9hW5qrAlXCLuDtL6sZlzHeM+XptkhNe5Uqj8BaaqNeLnRBCfplVMpFv If8muV3QRl8n3IAi8rNS+R7st126FCeFMc7MmCs859NXEC5NxUqH8MB66c0+ aRv1sumLYf0tOCmSftbbCrYZoqU/jNlE3VHW+R1sIcfJXmzGiYxrYJ+sKXw3 zyV4eo20gHGPsqWnQVI9sZgcasBGiINYyGFcMk4BAxTzTUXgYYyRdgakw17I hBPkL+GdlsJjaj+BZ+SGMu8y8ANfCAB/8FrL3uBg+F7IO/C+gTw7qHO4lLmp Y8cp2Buc5CzGd7EPtqyT2o1SDd/Tz3efxT/zORMwQp37dvacmm58Hg8Tc/Fc y3MfPoeHiNlZ71+MGWe9J6Cd/chlX8rZ02j2aJD9ew5HyHuBX0I88QQwcE5a WfsP7OlyztE/+pTH2cXzOV/TeIycEXKHYJTng8Svc9bSyQ8h14irmOs1/bn0 hRGbouZxzm037VrObBe20e7kPNSTWwcrOfM9xE3kR3GHmvE87stFPAffpm4T zz24FS8idgZ74xb8kfsyQY33UA1VxAeIe8gfwg7aLlyDB3E3dzSH+2uBMfK/ Ep+amZt77MX6TdL+TPsbbueuzyXm4b3s/A+c4n+hg9hJXEg7lnPRxzfcAw/1 ThM3kJ+wgv+RdNaQvWxMlv4Sv0P7KPnV+3lH+A9bst59 "]]}, "25500000"], Annotation[#, 25500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1tI01Ecx78j7EIWQqUpTp1uFpWVOGfqQ2JleamZVl7JS44kRsYydUzy ISXNpF6kMFN86cUWRBd1DukhNFhGBVZQJoWWlEXUQ71Effbw+X/P73bO+f/O OabahqLTBkkb+bRvk6pKpGq4eEyqQMvgSpXUGyN14GsDD7Yb3hZJjTske650 BjUXSB9NUmeGlEdsC77IA5IFXYOGQV+6tJ/YNXQuSpqNln7lULeddTdJE7sk P4wQGyNmIBYCUfh+JjIHWndYCkUz9zEfvuo0KYvxjzgpGl1C2/ZKF6CMmL9Q ymZ+D/Zu1BVU6rw21iDWzlp+xvNl0gLMwBf4DJHkv0evMuc9NJb8+hrWQZ3U JVL3EP8oDIAffPA9SYrYQ1+hI1WKJ98MXYzLs6VutMpCb9HXdimFubL432Ji yfQ2BXyV/ONWycZ4kv7/tUpW9uHmnCaZfwpCEqSnnNFy9FYp+4yXwjmH1Tvp OYxj2/CnQfNReofmOyQj8zkYx6Bu/C2QgZ0OYdTZ0UII4O9GC6jJIXeoVrqM 3QPPWfclvIAOYtOs+wys7NnCnr110m1oJ3a3WloPG2AdREA4JJA7Qc2D49JK xr6D0k1q+mEEXyX/aqHfnfS0K9jjfGrYyyBaQ2yW3jmIpwXPAi1F++hpgPVv oA567KSn9fRtivox7GTOYRSdxG4O9pszSuUcbbCCe/Eb//gJ9gIuzsTFnDPE pql7hQ5yfwYgl7sRWy6ZIBxiwAit3DkTdzQO3IyHmfMk99JD/iHid7CzUS9a gJq5y+fJbQUjrOId9ATzyL+OrsVuREPRXvQD+XPkvYMWaML/GP8S+QHUgz2C utEn6DBvrYQ3dwTekL+I/w/+JN7lsgrpG/YC9lfUgN3P+10k9xMUQsNm+oO/ mXwnb/0sdh85LvQU9qVM6VwxNsyT/w//I3Lv5/HfRvaIvwn+A23G0KQ= "]]}, "23800000"], Annotation[#, 23800000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1tI02EYh39aBlLRhUTmKZ05tW0FbWmZFGoarWxlQ5el06mFKJooFXYg MpVKusgoVnnoIijBy04sO4kl2ayLqDCbQmFEhBQd7MZ6dvHs+f/f732/77/v /b4ET31BXYikCH5CUqWcfCkUP7JLD1dJR/dIsynSxwKpYZfUBKfXS/u3SBlV UjX2Zkh1uAYOUmOlxgYOaj5DT7mUHi1dIe9fMYsx9gmH4VAwU/Ob9z/wdqdU SM188vvWSU+JPYPb4Ifn8HWl9AQPwiHyAzAVJU2ulTqJXYBGuAyXoJ/8s7gD Ysg9Bo/JTyTfTmwrZIED8qGZ/H250ky81LVJOpIujeyQzlDTEUNtBWvDYnIj YQkMkTuZI4UbpXdp0gny45gnFiaIzyNuI24FG2NWWA3+3dILqKbeTJ4Frq7h mbFB4hZcYpaS2cNSbGDPU3j28GzBldlSFbh5N/Fehs3Yju/Ry7tQxHdHb5PS 8GilNO6Q4t3SMrCa2Ae8HAzQ45G6ITdO6sWlpXz/Cr4BT2I3DuBrZdJC1ujF C3A439WUKf1i7Z8Q5mSfmNvE+GHOU3+J1B6sZ/22YD35LuaPYJ3NPI8WsSZ+ iTvBDyNw3SVls+fDFuZhnVkbPceVrDVM7YO9nFXwwQDcB2ewT+zhG/7nOVwW 3B+oYI9j2d+bSdJ54jfwNPNGEfuGfex3H7EufAduQRL9qmG+A8F+wgSxDxBJ X7/gv+S/xjN4CvvI95E3gLPo+RDegGs5R638jzbmGmDcxZk6SWyab7Jx1hqY LxNvBDdjXmoWcT5zeDcmsNd50ndiS4nN5TkSG7Efv4KKZGkMu/EP4uOsFWCt i9yhPO6TF79nLJW7Vkuf58RyJrljrdxJJz1qx0bOSCLUk7Odu9yIx6htJr+K Xh4vlFrgFFTzXkx/SsBq4H8Rs+Fy3lvoz3+cY8/T "]]}, "22100000"], Annotation[#, 22100000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1tIE2AYhl8LO5jUjRRM5yHc5lyZUVZWxFptc1ZQW25ZsmzqHEVariAV LGJFJEFRzkERZEE3QVcSQTonRrSGowOdCSsCO0BXFUUXPV28PN//fe9//v+y UKe3I0fSX9RaKJXulEpQU0Ayt0gmFCQ+65emQtKXrfhs0vm9Ugs8BlfSb7mR epPUtUwqrpROr5V8zVIM5lKfQf0A3grqry1SolZyeqUIOQ8MwWY0zy29WCP9 cEmvYAhvFmaQiZwFGYmtZVI+sQk6nNJls7SI/IIdUrRK2kDuEFwBa1BgNX5q DfCUgXUVsZ7NUgeaWCXZ6X+UOFXKfJukPyZi8tHtkoFxphsZH07Bn9SM5DvR YVSO7y55C7xFzQZN5M1oF/MsZLyb5C/USEXEhSjEPEEHZwnPka/Am+L8ZnN2 5dTvcwfhailJ7kGx1LZeurhY6lnCOLCF9v597AENcD9xdAklkKtNGoR1sIC+ jdxbjPgxY/e1Sk/gtqDUbZW2wCztWcw3Cetp+zkfG+sJM8cAc93mzuOwnXa6 gT3QzsObhXPhcdbUh+azFg+0M7eV+AhzhtlfJXE73EjegaoYe4LzusOZjMOr 7D8NHyE39UG8+awnAetoz+FuflN7yrk+Qz7aBbslLxznffZzxmnGfIh6uF8/ +Svc5S/6O/G5kB1N4s2gG/iH2OMJ1lXCm/BQc6OlvKVu2IO60Eu8z9EY/jH8 /fh78ceonUQR/PfgCBpG7/C+Re/xf8Ifx/8Gf4paEl3HPw0/o49oJveSg3L5 G3n8kWv4Dezbx3/4Tv0b+kqfgIcYHoQJ/lME1v4/W3hmHaTvMH2jPukDfXv3 sAc0yl9L1vPeqKVghv86Cqv5lyPwH7Tau18= "]]}, "20400000"], Annotation[#, 20400000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk11Ik1EYx/+uMnL0AVG0OecszTb7NJoSdRGmLTKwqTNNKpdTiNzc3EUf UBddRB8XJpuTIoiCoIKMNK8ixyxXVOuTCikwLUuDKCiCvOm3i9/7f89z/uc5 73me8+Z5A25/hiQDD1+21JIjZXklI6zZLxXDOnhSJFmbpFwwQw5YwLlU8tZJ zfDFTbxGGiCeyfrZsJ58UZ9UvV0qRWvR2EZpN+qBqTzpe4P0A9ysN7H+Muvn 8C0zWTuLHAYYPSB9KpTG0HF0Cv8V1sbRMOORXVKEdVEYtUgf8fmJ9zPfjt5H W/GfRDMZH8V/Gu8ZGMT/Dn8G8SDzM9Bj6Er8LvT6cs6O/zjeE3AV/zP8R1ZL 15hLVvHdzGfD4RLpwlaphvgrJ+dFLzJ24Y2hPfCceAqCZiDXXM5shApqWA5t 7HEIbrHHbeiFh/VSGXMW3pdQRzOYIE58EPoLJNtO6S7qKGMP8j2lfo176R1a RA338J4iHqNnb8jVh7eS2AsHeWqlTjznIbFDym/m3HZ63yjdQIvRe6wzrKVO MIQnyLhkk3SHPK/J18U4Sf7HadjTh+8ROsx4Gd+UIEcvXlMlZ0N/rZJ+wgrm 7BDZIBWgnegitI7aVFOjQurroF43WZNLvMvGHeDMfxmPoH/QgXS/8YfxhiCO /yXeFMTxd1D3MAwRb0MT6CnUS78usYeR3nl476ZfznIpQL82oyF0HnOLS+kN 4y2Qz70wVvDdqIX4NGtSqJ2Yl9g/dBreE/uNvkWztklN+7gP/Ecu7nkr7y3w gbsWQjvAD+0QSEPtvtKDSfDw/zVAPdjo1QR1/AZj8BnGYSF9nM99WAAP8CVh GA6yX4x8PRCBbohCzCqd9UjnwEp/JtL/L0zCfxDBxpc= "]]}, "18700000"], Annotation[#, 18700000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVk1tI01Ecx7+ZRg/dKGSxdG2DUrss02YW+pKzq5qKWjpLpxsUtpmr1IeI HiSK6EZsOV9Ke3BlwYTCh6Agupg5mmRFINnsohYVBD10eejjw2ff8/ud7zln 5/c7f0tDc7lvlqQ5/HyokFrypB6r5EcXZkqTeyRHozSFhveSZ9yLnquSQnVS F1xkHG8gNklfi6RO9AK585C6RnpcL0VWSZ9qpWmwMI6jVnQSXY468YyvlirR d+iUW/Jxfgv71xB7USe6ZLv0hrMWo372Pww+qGLOg6cpTRrLlRZsk9wW6fdW yYWmo/9WSq+Y85ZJN23cAyzk05h3FErJzC1i7qpRupYirScXYM3BjdwJdaPz mXehpxzSaXiaI51Fz4CD/TrQh2YpViA9YO5YKeexn5f97lK7AXhbLU1AHC7h NeG9jI6iGaxpY42PNcPUJgpp5E3UNbICn13qR3+uxYuvhn0tzN8mZ8Qzl1pa iYfo5XPo2kdfII/+5cMguSgMw1CqtHs/57KmBC2DUujLkLI5dwMU4SuGbrwd vIkg51+BMJ4Q2gnfmdtCT+ZVSs9m1tE7OwwyjrF2BHp2Sdehjz7Zi6Uc+MUd avn/A4y7wcb/XgeZ1CBAPcYYB9Es4iTqH0UfEQeocRBGiGMQYtxGT7qpmZH+ PKEujhqpANrpST19DLO+FU8vWkdspdeteI+CARJ4N+34b+E/iSYRN6GJ6Al0 HP9rfKPgh2by98h/wW/grR0hzucOfjSZOLyJmpZLN9AJcnH6/h4dRz/CcQ/f G5pI3ZZSnxfEBrSMNZ/xfWPvad5l9Q7eXzr33SwdQG1OqYLcHZeUgv8l65ah WeQPMf+DPTMZN9JrD5jxWcDJd9i/U/qL5z7/8w8aIc4lX0jsgGy+vdn0LBES Zr5TemiG//tNyYw= "]]}, "17000000"], Annotation[#, 17000000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwllG1MjWEYx//4IJs+lNZSndZp6aSEbOllqQ+9W2059HJOCZ0yq7BwEsKy 0bT5oDSzhQ+hUT6wMRlZepGGYR0ylZf1Mr3ZSGRsfmc+/M7/vq/7f13P/dz3 9Rxj4V7zngWSAvlxhEhdWVJdoVQPN9KlTuaPoQNcVkmN26VzAdJsmBSXI31H W/EV+0sNEVIeefnQnS+lFUs96AV8XWgn+CdIFl8py1uqypRCoN0iPYRWm9QC Buq5spcgvEvRSjwVELxe+rOCfRL3WS3NkPMVBmEKJiFpm1RD7XZnXfzJQdLJ RCkBfy2axryHeCpqi5TOEPvG3qOSpPPEdhFbx3gtXGafl6jlHiWVbJI80Hk8 AcnSNepdhzLi/cRDiNmM0uIUaYy4K1pmkt47c1Eb+yqC3dlSOZz1k9xSOWd0 gPOyE7OzfgCeE8vhnHNhcIs0DB/AxLm8M0iR+D8zv8KdNEEs/jrySkOpi5ah 9WggZ5dYxJlANDkxMEj+g1hpCJ3kXqZgApq402k0JVfayR0MMD+Nvxau8owI 5ibiRp67Ac8S4sXUcEHjmMfDZtbN0InXjflF1hphiH2cYg/WAp5JD9ylL0zE JhgHobc3cq/BUliG1MbeJ3nvyjzpENTxzr3ELfReH2pFn6KZaF6aFI6nhNxQ fKXoa2rnE3eg/XBipeRLvTvUXYN32vlu7GUGDWP+0Sx9goYYepP7GOGu/lJr FH1BvpHYK/QlVFNrlLw35N+i3lt0jLkDHUfHrVI6tTKgOZp+oQfKqRPHfnvw ezH32CF5ol/okTb896GcHnJADWsj9NswPVNF/CiUQDUchxZyKtCD4InfDo/w G/EX0K/76d1s1I5aUQvM0dvu+JdBL9+EnWdUQC29nUK9TPq5j++hi7VueMZ4 mO8rHJ3le1rI+g90EdrGO96DI5zFYbjJuIO135yjgTM4xvn8YjwPP2Efz5lD n3DPflu5L545R8zAeDm5XuAD3hBP71noMyuYC/7/F/0DRBLu+w== "]]}, "15300000"], Annotation[#, 15300000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwllH1MzHEcx99tZscaUmikxOJ0FrO5Q3kadaxad+euVB4bxxV6FCG2+qNw ZbP+Sg9WFuMvT9mMq5h5CKWz5mFNHpLZbMLM1sir+ePV6/f9fj+/z+/7/X4+ V2RWrmN/gKRA/oxESW/Spb/4K7aapDYb3iYlgHWuNJgqxWNDhlQRJnWw3g67 LdLpdZIXhmZJlnjpJ7bhHNaScCKkkMcGOXbJA8FLpd/kuxgjOZm/Tc5b06Xn zHez7scGqzQWBogJxJ9xD2vZxKezx1z2VAhnwqVi5uxpkgOKmEvFLihbIL3D 76HPKfXDy5nSB8YfIQ0+RRLD/CDexNhtlKIzORs24ZCtUu0uaQXfKdkptUZL h/BNfBhfwzegnJjruJi5K/gAvooP4igcmyVdIqafvX9hLo5xTDLnZtyIz8Ei WAjlxNdtkerhrYNv7JCWzJAWs3dPkmSE+ZCxQZpD7BPyPoV2uAsdcCGRc5Dr FM8mbOEuqniuBi+4OdcA71axl2rwgplv1CyXwtdLEeBlb4+J7YQ70AY+aCH3 PHJW8GzEZnKf4PkkVMIw9Wjg3YfkfAQPwEDulmXUnlrG8k4crIHVcJ/YaZwx FIJhKkwBNzVJpiYpUEjtQ6hTJfM+esVHz/zheQQ89OU+2Asm3lmJV0Eo7xxl vRSaiHfRi030XRG92YwLcD5MJNbOeAIOgkmQQL/V0Nf36OdOs3Scfj8GY4j7 xe+kld/Ld/wDSpnv3kz/QhB32oMnY8vonUKmi1pR7+w4emm2dJna+Vn3MN4D eZzHwL2N4x7rt0vjcQPuJcZFnV7jMvK8wueJczLXjDfiutG7IWctLsBncT7n PcKeAtjrEPsTjuCbdnI64Btzfdx5F/t8Bl301Qvutnctd8q5Iokdxn7Gedxb CbnCYv7/r/gHraPUfA== "]]}, "13600000"], Annotation[#, 13600000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwlk0tIVGEUx//RQirwzigF+Wo0e4xetcBsqKBSx8qccTJ1htJMe9BDZoQw oY25UBLKRYI1BVNJ1sZamFS7ok3ZJhsz3zm5SFctamNW0u/S4sf/nnPPOd93 zrk3vSFUEVwh6TuUu6ULO6XIZilWJnmypQrLVy1llkhL+AN1kg9/FeqHamjc Jk3WkJMkfTgiRV3SuS3SfK40jf9LivSVd+etHHJb0AA6xxkTDdJl6lf6pY2n OAeO8ry2UloHccnkY9/PkGbQGMzCVKp0cxfnoi5qFJFXCA+Ii5yRevDdgtvw lHPuoncgDNNZUvtpqb5K6qbGQrq03SM150nZtZIJBu9s8IP6WeSXkOcGOz4f +TnExNO3Sd5zemlDt2I7wTCl1JPSC/zDxL9E07Dfo4XEDaFhNJ/YHZBDfIz3 szDALG7w/jMzMvE7iRvAjqD7iN0P+fiTiH2GP0b8IJqM/Q7dS9xbtBc1DtAD lBOfgNohs17yYq9HfczRC8Fj0idmNwpNPCcw90QQ/S4TF8X/l92PoMuog/02 secNaA3fx0N8Ls7rQ2uxW9i7Hw1AiO8pCJ3sv5Pv4Bf1luA1tV6Bl5yhAu4O M0XMHyZhClqd0u/jnA1/YJGZRNlHKXmP2PMid3+MNu5h1uz8IjpB3lV2O8aO WtFxtA3tp9Ym9Alq0JfN2iW0k9NLzZXMNUytUfo+GJB2U+8j/kM8D6O53C8P 4q3doyZcsuph204wM7CDDfse34uBOtAo9wnRd4j+B6l5xScdpudx/KX0M4Ze T5NWM/c18I19rkLjoIO8a+S9IecsM+wqln46uB9zbWbGHvf/f/Yfi+20qA== "]]}, "11900000"], Annotation[#, 11900000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwlk01I02Ecx7/rkFC+ZB1EzakTFHREELkIIw0Nllu1lbpyNjNFBLdZlFae nF0LJYNIw4qiS9Z0qCcv+RqeFOzgXqS8pNnLIY1ewD6jw4fv//k9v7fn9zz/ 3Aa/02eQ9B3uNEp9DdIDOGGUhmzSbJU0A9Ow2ywN1ksPTdL7GmkJsq5Iu85L z9h/CsXEmYg7jLaT5wm2NvJeg6vQUi0FmqQF9pIuSvZ8KRG1oT3l0inU5kGL JCtqRSvjSq3PxG7AJ1iHNVhy0wvsdUip0GSRBshhrZCuH5BOo+3oPvac5DkX B1st6kDv0mfeSekeukhPreR0UPMC+/PYvrD2HpTSC+mZHBlomHotBdIKup91 FM1ESzlfjO83fI8ypzTmdYv429AJq8wlQo0wLIObOiFibrJ3g5l0oMeZZymU QYQzDzLrLnJt4XuJWXqglzxd1OhBPeSpxxZg3V8nHcO3BKYqpXL6n2PvHUSc krmWXtEY+Eu4FwiTP2CX8jljAURZL+K/AC6X5KMPL7RCiP7+UO8tccl50iPi iomxwDi+Y/AVn9/4fEOH42eGjzBCLzvxT4BDzCWGLYitmTMMox9Yr8Rjmfsv 8DJfE75Bzr3OeUZ4IyEI4j+NvYYcs6gLnUHtaBH36Mdnm/v/i5/IYcb2glk8 h1z8XpFvjXxDaDr6GPVzrxMZkvEI74I3YcFvEvtRdApNvcz7ghSwUWcPupnD G+V+7vNmz1CvjXc3eZaa3L8Btpl1NndrhF58XnLG15yvn3xilgbYAQOso9gj EIY05upjvl7YIv9P2IQfkI1/H3VzUCO4uaM66G78/+/+A0VjwfE= "]]}, "10200000"], Annotation[#, 10200000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwl09tPz3Ecx/G34SLcmMOFyVbIKWmISoc5pKaT0mJW6Ce02XJJhTFTYQ7j 0rJy5UqbcaVfucWFQ6XNIRf6A4SwsfEwF8+9fp/3933+fH5piRO1rdMiYhTr EhGduIj8JREPmiO20G7nLoylR2xlS10dscF5I1ZnRzTwuVAZ0UgPH454ya+J vqAJOpkacasg4r3zlPiJNRFf6Dd8RUtFRKvYQfmGsJ1tGzb5nYPeI+xid8uV si9iNmbhnpiH9RGPMFyjRlPEp0URHxdHfBY/ieZDEUdxBNX6XtWoZ2RgJVZg TH9L9b8MOZm+0eWY4N98QCxa5Z9bpye9DKiRVOOXer+RKXcW1uKJmkMYPRhx xZzD9DIdoT/N0q/XcX4fcJ+9R50iOyzGerVfi+1nf0VHMIxx5PF7bv5neIpy voX7I/oyIh77NoB6tjb9tKMDSbabO/Rpv4NydMqbpF30EjrN0k1/6Os7pjBn acRJ+ReYvYjvQlpMk/ZfQAv/9fLvXSAfd7DZPZwSexJncQZ5bB30NNrQjly2 P/LdFjOP5tL59Ia3cR1ZfNaiyq7K9VVJK+g1/V9Fi90dw1GUsZf5XpIVcd7c 51BXYj9qHLfLN+5ql3OP/fSK7UOp810z76R97q/XPdbIUSVXI62mDXQP3U9r afle7yVNTjXT7SUNFWzT6UzMwDu13mLEO0opdfc0O/H///QX9k2nbw== "]]}, "8500000"], Annotation[#, 8500000, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwlkrsvw2EUhl+bxWVwiyApIXEZqEg7lIWBaCOk2pJqtTTuLJWopW6RmopB JK4xEUkvs0TCLAzoNQb+C5unMTx5f+f7znm/853vZ/Cvja0WSYrAXaNUOi45 PNJ9QHKi+TZpwC+5+J6A+KSUhARckn9kkY6htENq7pQGG6hzSUPoG16vBT/i HLkhPBMO6Re/J2pKmqRTm2SkrhvKiDdmpHL0hfoe8h9qpRriEOub0AvneFnQ C9SK2mAYbomzdikDaTgjnmd9AeZgCRYhy/o650fqJBNnPLdLW62Sb1Y64L7T aAStooeoVapEPfQ8BVusu9kP4mHGo3JUqoDrFnpiJldo1k3P5KXRajSDLpuk FYgR7+CzC3twg/92wReC+IbRD3iHKOd+s3+Ipog/wU6vSfI8XskLOSdz4A55 NA1ZyMAI9yxm7j/Mb9/HWxXy4ApS9VIXXkY4obYf/z7yY8wgTBxHH7nfl1kK GHgv5/+/8QfF9G1E "]]}, "6800000"], Annotation[#, 6800000, "Tooltip"]& ], {}, {}, {}, {}, {}}}], {}}, AspectRatio->1, AxesLabel->{None, None}, AxesOrigin->{0.2, 1500.}, DisplayFunction->Identity, Frame->True, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "GridLinesInFront" -> True}, PlotRange->{{0.2, 0.4}, {1500, 6000}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.7950508080934305`*^9, 3.7950508230430384`*^9}, { 3.795050888776061*^9, 3.795050907991208*^9}, {3.7952206889050827`*^9, 3.795220706531083*^9}, 3.7952211325729074`*^9, 3.795282931416383*^9, 3.795310080739911*^9, 3.795343979937394*^9, {3.795365593732724*^9, 3.7953656123097124`*^9}, 3.7953657928423023`*^9, 3.795366100513135*^9, 3.795366131080011*^9, 3.7953668632052774`*^9, 3.7953670773768773`*^9, 3.7953674604779434`*^9, 3.79536849837076*^9, 3.795368642470372*^9, 3.795370018180718*^9, 3.7953988999851017`*^9, 3.795563133867463*^9, 3.795564579356411*^9, 3.795659730429666*^9, 3.7957384707154036`*^9, 3.7958215939788756`*^9, {3.795910287943097*^9, 3.795910321189891*^9}, 3.7960819429727726`*^9, 3.796160894639083*^9, 3.7962099838066096`*^9, 3.796341588062831*^9, 3.7965723054603295`*^9, {3.7966003990480833`*^9, 3.796600425413941*^9}, 3.796600465494564*^9, 3.7966021627606735`*^9, { 3.796677606565507*^9, 3.7966776314428277`*^9}, 3.796679961070056*^9}, CellLabel->"Out[17]=",ExpressionUUID->"5b36a7f3-dccc-4915-be2a-2456af931585"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Residual1Continuous", " ", "=", " ", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], "-", " ", RowBox[{"ysol1", "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}], ",", RowBox[{"PlotStyle", "\[Rule]", "Green"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.794103994770723*^9, 3.794104072448557*^9}, { 3.7941043493978257`*^9, 3.7941043930003147`*^9}, {3.794104453521432*^9, 3.79410446002223*^9}, 3.794104546081687*^9, {3.7941398141170588`*^9, 3.794139831776888*^9}, {3.795366494685523*^9, 3.7953665818968534`*^9}}, CellLabel->"In[18]:=",ExpressionUUID->"64159546-5af6-4fa9-a259-d00ad4ae307d"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[0, 1, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7F8s2GUqa3d1P1TAwWj//OvlzyUcIFwOh2SX V/dD3dShfAGHi8fnPqi7ZQ7lizgceTy1we+8PZQv4VAZm/LkzFYnKF/GwcT7 1R7Bk+5QvoJDVmtOGHefL5Sv5CC9aGZ/tWkQlK/iMEt0z9yb98KgfDWHzqft ir05MVC+hoPKJKuANIVUKF/LQSj0xASTqkwoX8fBZU/WQmbVAihfz4EnsYfD gr0QyjdwWLQ1WEV6XSmUb+igPulmM8u7KijfyGFWisRyziX1UL6xg4a0T2Dx qkYo38RhmsvSNzpyzVC+qcNnzsBZ++B8M4dTdwQeFwU1QfnmDrfYJqUfdIPp t3BIPP7pyCSdBijf0mFSXbEPQ2wtlG/lsCXgdf7/DTD3WDucSOs9unEezP02 DgrfT33ZaQLzv61Dw9mpf5z+OByA8O0cGHTZuk5Ny4Ty7R0evOOX7ZuWC+U7 ONxYxLXp27ciCL/BwYHDbNEEi9JSqLyjA4NS8u/e8mKovKODwZynfz+qw+Sd HDSEHWZ9nFMFlXdyaDC/M0XIqwYq7+zwwCxjktPCcqi8s0OCSXtDg34GVN7F oaHZ8eOr735QeRcHhv5Vi1+3uUPlXR0YHlvpL2uLhvivwdXhwge55AoBmP/d HBISNjdnv66Eyrs5nJi4e9qMM7DwdXdw8E2cy3W7zQEATwvJ5w== "]]}, { {RGBColor[0, 1, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[0, 1, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Residual\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImageMargins->0., ImageSize->Automatic, ImageSizeRaw->Automatic, Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 46.}, {-452.6295364954203, 731.3801829911899}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.795366584677103*^9, 3.7953668634811125`*^9, 3.7953670775148344`*^9, 3.795367460663887*^9, 3.795368498727739*^9, 3.795368642769817*^9, 3.795370018254697*^9, 3.7953989001550517`*^9, 3.795563133999423*^9, 3.795564579488369*^9, 3.7956597305666237`*^9, 3.79573847081538*^9, 3.7958215941738157`*^9, 3.795910288138037*^9, 3.796081943089735*^9, 3.7961608948320217`*^9, 3.796209983931607*^9, 3.79634158813181*^9, 3.7965723056482716`*^9, {3.796600399206034*^9, 3.7966004255419016`*^9}, 3.796600465614525*^9, 3.7966021629906006`*^9, {3.7966776067154627`*^9, 3.7966776315857816`*^9}, 3.796679961525915*^9}, CellLabel->"Out[18]=",ExpressionUUID->"bd54e854-cef7-414e-a49d-a143397fa886"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Model 2 Analysis - Continuous Model ", "Subsubsection", CellChangeTimes->{{3.794077240676777*^9, 3.794077258669628*^9}, { 3.79408165086436*^9, 3.794081654270839*^9}, 3.7940914004296412`*^9, { 3.7952207907768416`*^9, 3.795220797392186*^9}, 3.7952208353682756`*^9},ExpressionUUID->"b40d5a92-de50-4887-b245-\ 3c892a05f42f"], Cell[BoxData[ RowBox[{"Remove", "[", RowBox[{ "r", ",", "A", ",", "B", ",", "CC", ",", "K", ",", "KK", ",", "SSE1", ",", "SSE2", ",", "SSE3"}], "]"}]], "Input", CellChangeTimes->{{3.79534351346717*^9, 3.79534352772403*^9}, { 3.795343973404991*^9, 3.7953439741237307`*^9}, {3.7953654216864853`*^9, 3.7953654224247665`*^9}, {3.795368565477268*^9, 3.7953685697920513`*^9}}, CellLabel->"In[19]:=",ExpressionUUID->"b1ce087e-03f9-4b85-9809-b398104b05da"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ys", "[", RowBox[{"t_", ",", "A_", ",", "B_", ",", "KK_"}], "]"}], " ", "=", " ", RowBox[{ RowBox[{"y", "[", "t", "]"}], "/.", RowBox[{ RowBox[{"DSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}], "\[Equal]", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"A", " ", RowBox[{"y", "[", "t", "]"}]}], "+", "B"}], ")"}], RowBox[{ RowBox[{"(", RowBox[{"KK", " ", "-", " ", RowBox[{"y", "[", "t", "]"}]}], ")"}], "/", "KK"}]}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}], ",", RowBox[{"y", "[", "t", "]"}], ",", "t"}], "]"}], "[", RowBox[{"[", "1", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.795050625409202*^9, 3.7950507108830237`*^9}, { 3.795220855301561*^9, 3.795220888418255*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"7445eef1-4668-468d-af04-685461ff7cbc"], Cell[BoxData[ FractionBox[ RowBox[{"B", "-", RowBox[{"B", " ", "KK"}], "+", RowBox[{"A", " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"A", " ", "t"}], "+", FractionBox[ RowBox[{"B", " ", "t"}], "KK"]}]], " ", "KK"}], "+", RowBox[{"B", " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"A", " ", "t"}], "+", FractionBox[ RowBox[{"B", " ", "t"}], "KK"]}]], " ", "KK"}]}], RowBox[{ RowBox[{"-", "A"}], "+", RowBox[{"A", " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"A", " ", "t"}], "+", FractionBox[ RowBox[{"B", " ", "t"}], "KK"]}]]}], "+", RowBox[{"B", " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"A", " ", "t"}], "+", FractionBox[ RowBox[{"B", " ", "t"}], "KK"]}]]}], "+", RowBox[{"A", " ", "KK"}]}]]], "Output", CellChangeTimes->{{3.795050678688741*^9, 3.795050703972308*^9}, 3.795050872733597*^9, 3.795136851732502*^9, 3.7952200027149453`*^9, 3.7952208909008064`*^9, 3.7952829746895676`*^9, 3.795310130906535*^9, 3.795343994766957*^9, 3.7953659787264853`*^9, 3.7953661006870813`*^9, 3.795366131210969*^9, 3.795366863621069*^9, 3.7953670811967244`*^9, 3.7953674608408318`*^9, 3.7953684989256783`*^9, 3.7953686429517593`*^9, 3.7953700272545223`*^9, 3.795398909244562*^9, 3.795563145322338*^9, 3.7955646026610765`*^9, 3.7956597347913213`*^9, 3.7957384709383464`*^9, 3.7958215943017745`*^9, 3.7959102882530003`*^9, 3.7960819432067013`*^9, 3.7961608949959726`*^9, 3.7962099840878544`*^9, 3.7963415882257814`*^9, 3.7965723057592382`*^9, {3.7966003993120003`*^9, 3.7966004257568345`*^9}, 3.796600465799469*^9, 3.7966021631025677`*^9, {3.79667760685442*^9, 3.796677631737734*^9}, 3.796679961748845*^9}, CellLabel->"Out[20]=",ExpressionUUID->"333ec45b-17e1-4685-84fc-458fac6bb9a3"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"SSE", "[", RowBox[{"A_", ",", "B_", ",", "KK_"}], "]"}], " ", "=", " ", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], " ", "-", " ", RowBox[{"ys", "[", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], ",", "A", ",", "B", ",", "KK"}], "]"}]}], ")"}], "^", "2"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.7950507138744826`*^9, 3.795050769441329*^9}, 3.795050866852136*^9, 3.7952200097712417`*^9, {3.7952205414305944`*^9, 3.7952205418771353`*^9}, {3.7952210090243845`*^9, 3.7952210283748565`*^9}}, CellLabel->"In[21]:=",ExpressionUUID->"9d0f5da2-981d-4714-aeee-8263b60048d0"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"solABKK", "=", RowBox[{"FindMinimum", "[", RowBox[{ RowBox[{"SSE", "[", RowBox[{"A", ",", "B", ",", "KK"}], "]"}], ",", RowBox[{"{", RowBox[{"A", ",", ".35"}], "}"}], ",", RowBox[{"{", RowBox[{"B", ",", ".1"}], "}"}], ",", RowBox[{"{", RowBox[{"KK", ",", "2800"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.795050828189588*^9, 3.795050850241111*^9}, { 3.79505091616125*^9, 3.795050917776023*^9}, {3.7951368700276732`*^9, 3.79513688516893*^9}, {3.795220018286476*^9, 3.795220024908913*^9}, { 3.7952205109995537`*^9, 3.79522051395774*^9}, 3.7952205931376557`*^9, { 3.7952210327276263`*^9, 3.7952210812838993`*^9}}, CellLabel->"In[22]:=",ExpressionUUID->"f7e212de-2bd0-4ca9-8c36-8d2823fb1e4f"], Cell[BoxData[ RowBox[{"{", RowBox[{"186541.84979426663`", ",", RowBox[{"{", RowBox[{ RowBox[{"A", "\[Rule]", "0.12970914373035441`"}], ",", RowBox[{"B", "\[Rule]", "9.733528049411538`"}], ",", RowBox[{"KK", "\[Rule]", "5993.455457855119`"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.79505085083292*^9, 3.7950508785573897`*^9}, 3.7950509184738054`*^9, {3.7951368789229126`*^9, 3.7951368858287077`*^9}, { 3.795220020082882*^9, 3.795220025390764*^9}, {3.795220500173458*^9, 3.7952205146203527`*^9}, 3.7952205449333515`*^9, 3.7952205943814173`*^9, { 3.79522104866065*^9, 3.795221081710951*^9}, 3.7952829752208033`*^9, 3.7953101313154078`*^9, 3.795343995235803*^9, 3.7953659788574457`*^9, 3.795366100748062*^9, 3.795366131281948*^9, 3.7953668636965914`*^9, 3.795367081399661*^9, 3.795367460954796*^9, 3.795368499038644*^9, 3.7953686430587244`*^9, 3.7953700274113016`*^9, 3.7953989094455*^9, 3.795563145458294*^9, 3.79556460281003*^9, 3.795659734962269*^9, 3.7957384710473804`*^9, 3.7958215944187393`*^9, 3.7959102883766127`*^9, 3.7960819433076687`*^9, 3.7961608951059375`*^9, 3.7962099842128525`*^9, 3.796341588285763*^9, 3.7965723058881965`*^9, {3.7966003994009743`*^9, 3.796600425909788*^9}, 3.7966004659394245`*^9, 3.796602163210535*^9, { 3.796677606946392*^9, 3.7966776318536987`*^9}, 3.796679961923791*^9}, CellLabel->"Out[22]=",ExpressionUUID->"1b0f8254-02c5-42f5-aa98-7f3a3e7f4be7"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SSE2Continuous", " ", "=", " ", RowBox[{"solABKK", "[", RowBox[{"[", "1", "]"}], "]"}]}]], "Input", CellChangeTimes->{{3.795221141046556*^9, 3.795221170028558*^9}, { 3.79536595185634*^9, 3.7953659544049463`*^9}}, CellLabel->"In[23]:=",ExpressionUUID->"4bed0825-1b46-4f40-9a9b-2e47fd98d26f"], Cell[BoxData["186541.84979426663`"], "Output", CellChangeTimes->{ 3.795221170454705*^9, 3.795282975283303*^9, 3.795310131368392*^9, 3.7953439953139243`*^9, 3.7953659789544153`*^9, 3.795366100763056*^9, 3.7953661313224945`*^9, 3.795366863736579*^9, 3.79536708150563*^9, 3.795367461041769*^9, 3.795368499119706*^9, 3.795368643123706*^9, 3.7953700274972763`*^9, 3.795398909553465*^9, 3.7955631455562634`*^9, 3.795564602912998*^9, 3.795659735047243*^9, 3.7957384710753713`*^9, 3.795821594442732*^9, 3.7959102883986073`*^9, 3.7960819433306627`*^9, 3.7961608951259317`*^9, 3.7962099842909737`*^9, 3.796341588304755*^9, 3.796572305957176*^9, {3.7966003994179688`*^9, 3.796600426123721*^9}, 3.79660046595942*^9, 3.796602163235527*^9, {3.7966776069673853`*^9, 3.7966776318736916`*^9}, 3.796679962048752*^9}, CellLabel->"Out[23]=",ExpressionUUID->"21214d33-dd78-4e3d-b419-6cb01e9f50bd"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"K2", " ", "=", " ", RowBox[{"KK", "/.", RowBox[{"solABKK", "[", RowBox[{"[", "2", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.7955645868001394`*^9, 3.7955645990219393`*^9}}, CellLabel->"In[24]:=",ExpressionUUID->"16298422-ac0e-445a-8493-4f3db0b9ed69"], Cell[BoxData["5993.455457855119`"], "Output", CellChangeTimes->{ 3.7955646030189657`*^9, 3.7956597351362166`*^9, 3.7957384710983653`*^9, 3.7958215944617243`*^9, 3.7959102884175997`*^9, 3.796081943351655*^9, 3.796160895142926*^9, 3.796209984384972*^9, 3.7963415883167524`*^9, 3.796572306032152*^9, {3.796600399433963*^9, 3.7966004262086954`*^9}, 3.7966004660323977`*^9, 3.7966021632595177`*^9, {3.796677606984379*^9, 3.796677631892686*^9}, 3.7966799621777143`*^9}, CellLabel->"Out[24]=",ExpressionUUID->"e70bdebb-6c1a-475a-8c9e-2ed7b030dd4c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ysol2", "[", "t_", "]"}], " ", "=", " ", RowBox[{ RowBox[{"ys", "[", RowBox[{"t", ",", "A", ",", "B", ",", "KK"}], "]"}], "/.", RowBox[{"solABKK", "[", RowBox[{"[", "2", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.79505092002153*^9, 3.7950509440604267`*^9}, { 3.795220097399083*^9, 3.795220131063741*^9}, 3.7952202225805926`*^9, { 3.795220490005884*^9, 3.7952204950844617`*^9}, {3.7952205259745903`*^9, 3.79522053081909*^9}, {3.795221053183026*^9, 3.7952210720473957`*^9}}, CellLabel->"In[25]:=",ExpressionUUID->"483ca2b2-3881-4ba1-af4a-38161a4d4f16"], Cell[BoxData[ FractionBox[ RowBox[{ RowBox[{"-", "58327.73328388206`"}], "+", RowBox[{"59114.872787355875`", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"0.13133316982312443`", " ", "t"}]]}]}], RowBox[{"777.2762662806764`", "\[VeryThinSpace]", "+", RowBox[{"9.863237193141892`", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"0.13133316982312443`", " ", "t"}]]}]}]]], "Output", CellChangeTimes->{ 3.7950509446402464`*^9, 3.7952200430539026`*^9, {3.795220107624008*^9, 3.795220131355652*^9}, 3.795220223006898*^9, {3.7952205312441387`*^9, 3.7952205498526793`*^9}, {3.7952210743206444`*^9, 3.7952210834367914`*^9}, 3.795282975345801*^9, 3.7953101314263735`*^9, 3.79534399539205*^9, 3.795365979046387*^9, 3.795366100776052*^9, 3.7953661313644824`*^9, 3.7953668637805653`*^9, 3.7953670816086006`*^9, 3.7953674611117477`*^9, 3.795368499205679*^9, 3.7953686431946826`*^9, 3.795370027581251*^9, 3.7953989096594343`*^9, 3.7955631456512346`*^9, 3.795564603128932*^9, 3.795659735225189*^9, 3.795738471119359*^9, 3.795821594482718*^9, 3.795910288437594*^9, 3.7960819433716483`*^9, 3.796160895158921*^9, 3.7962099844630947`*^9, 3.796341588329747*^9, 3.79657230610213*^9, { 3.7966003994499593`*^9, 3.7966004263096647`*^9}, 3.7966004661083736`*^9, 3.796602163280513*^9, {3.7966776070023727`*^9, 3.7966776319126797`*^9}, 3.796679962447629*^9}, CellLabel->"Out[25]=",ExpressionUUID->"07a73bcd-cecc-4c6a-9b6e-1fbc0262aabb"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Limit", "[", RowBox[{ RowBox[{"ysol2", "[", "t", "]"}], ",", RowBox[{"t", "\[Rule]", "Infinity"}]}], "]"}]], "Input", CellChangeTimes->{{3.7953102809735565`*^9, 3.795310295507044*^9}}, CellLabel->"In[26]:=",ExpressionUUID->"951ddf63-eead-4e2c-af44-3fb5bb1e62af"], Cell[BoxData["5993.455457855119`"], "Output", CellChangeTimes->{ 3.795310296019879*^9, 3.795343995454548*^9, 3.7953659791273623`*^9, 3.795366100787049*^9, 3.7953661314094677`*^9, 3.7953668638225527`*^9, 3.795367081725568*^9, 3.7953674612017193`*^9, 3.79536849927466*^9, 3.795368643258663*^9, 3.795370027670223*^9, 3.7953989097803965`*^9, 3.795563145739208*^9, 3.7955646032389*^9, 3.7956597353131623`*^9, 3.7957384711453505`*^9, 3.7958215945027122`*^9, 3.795910288459588*^9, 3.796081943392642*^9, 3.796160895237897*^9, 3.7962099845568433`*^9, 3.796341588382733*^9, 3.7965723061811075`*^9, {3.796600399465954*^9, 3.796600426401636*^9}, 3.796600466182349*^9, 3.7966021633035054`*^9, { 3.7966776070633535`*^9, 3.7966776319896574`*^9}, 3.796679962630573*^9}, CellLabel->"Out[26]=",ExpressionUUID->"605fb9fc-5930-4743-b1f6-50774daf3477"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"ysol2", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "365"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "180"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "5000"}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Purple"}]}], "]"}]], "Input", CellChangeTimes->{{3.7955631658976145`*^9, 3.795563233381832*^9}}, CellLabel->"In[27]:=",ExpressionUUID->"02197ddc-5574-47af-a0b9-4c51dda794a2"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.5, 0, 0.5], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVxQk8FIgCx/FBOTZCrXGOxqycmRwtg5i/mXFVYk10zNIyueqzCKmH5jWu HJWl0TrKkjAKudLuqLdKRYfzUa5iOyjEhEaEfW9/n8/389MLjPAOkiYQCEH/ 98+PHXCbcnUcddy1e0HWgyCmnz/en/NGeIcurzNsyX5HwEqBM7FM+Ix+oefn P36cUkDjzdUXKcIR+ja9E+ZiMyJURIO0WOE0Pf5grvtakz4c/3QNCxeu0Jd2 irUUBncgRftN70LUGp1uuaX9oaM1xu3pRXd1CXCKaJctrbTBtrwhOdYHKVj1 byTJZ9lB5KU67MVbjwKDuwosD6D/Ho9/VKgITs8H5dbXLvgSsaep+rwScr6R 6Jm2ukJHV2tKHLURAtPu8NZyN1jcPXS9WVcF6Hr4fd3JXTilKdnM+KAK3Wnn Cy1Oe7G+d9vEXp4arHYlN1wAG8TKi3yxWA3dp64urutgw+jMsnYOlwjJUZ30 GM4+7KG2e/W7qaOs4GHsIZ4PcjK4Is5mTbw3PbVB+uV+kJkF50OFOlBp6T4s t84PsZTb52r0SdjsnsOk3/dDh1Rf5kIxCba/BWmxk/wR16KUcSZfF7ZFFx9r y/2EySIw9ziTIfv3ixjFawG4tLGLEZFEhqHOYrCJciCceH6MnHtkGPiodI3F ByLPL85pwEEPp0l3As0OceGs00g/Yk3BOClU+M4kCOJMBv1sDAXrs5pngkuD cPlrt+P1egqOOd+XvkkKxtzQRwcx9Tsk7Cx4f0M9BMX5hjsTDPXxHfFaqCwl DMvEQppAwwDuZ7c4jub+jLJUY9ptXwMoqodmtZmFw0ty22ZIYIBq8n2F0bZw VPT3WZNVDdFnzO3lSEVin2Dj91UKRmj3409MuR9HjWqixYNlYxRQ4/ZT1GJw kK9iMUEzQXfVwQlWTAzWfSoy/+akCbbLpCWJ+mLA6W7e7jVvAm5AVWFN/gnI Z302G5kyhXrxv7ONd5wEVzHMZGHEDHPv9OwWauIgWBXJLxGpYCscqHIlxePR jOLEqhcVykuVel/PxcOop7ZU7iEV5MLgqqzIBEznftHRrt4Ozzb94k43HkTK D+RK/mOOrPUp8l5kPrzlP8aWDpvj+Z1ZWxcuH1ME4njZF3OkU4pK5Sr40JkL eXDd0gJM36vP58wTwevbwG8st4CgYJiTvzcJjHz2ctsFS7wsJ0YI6lMwlJ0Q 9uSGJeYeL+jJyKQiOqNs4Fm7Jdbi7Xt896XiWvxiU4+0FTyUKKSGpVTI+hdG D8daIWjNnBzqmYYnlDfTM/470B/2eVJimAnvqqhRte3WkESXZ75+8gvavZxK Undbg2YXykyRyobDZ2XuYog1siMTD5fTsmHkWD0+UGyN+uGR9CPCbKx1TXws 3GSDxRNxdX3nc3B9/scVPYkNEjUuaWZFCiBt76pJvWuLTQFVTGdBHk6Nqg0X DdpCemErJ3soDx+T3l5WltiiayyAtU8vHwPP+ORPVDtUJFGi7GvzUeN/x7Cx 2A5Sr1LTTv63AIcSLaztku3x5MqYzFPqFdQ/1ma77HaAlOxmnqpGCWzF6lTy UQcoTfr6fOtcghbitwrLaQ5IFOUxWFEl6OAq/ln9yAHHn1rlGnSU4P3qioka wxFbT0zG9yZfBcnylfRbGh2t3d1GpculYHl4DeIikNgbMsmUlCPtp85H1VcB zq3FTneDCjyN3tOoVQ+c2zke5elbAe8Ct6yFbkDD89dudlMFDk/AWbjRCZ// tv5LLVaIOL5FnXKGE/Tulf5hMl+J2lub0l+dYUAx9IZ+8GAVfCqdZphZDOxP V+pKkanG8uVIduUVBoyt+mZPm1WDmdxJihExINHy75g/U43n3hn1CgsMFPyL ET6ytQYrs1IjO0KYGO9NtHoTfBPuJp+omR4sRDy+PMkdq8UMiSwQc1hQpHV+ tZurRY6q55LPURY0eRm8eZk6jHypaiWfZUF0c5euvGEdIttCDzS1sLDheZd5 87E6XDoyxv/Lyhk+6e5BprN1eF3U1Wej5YLmZ+oU0ct6/MLOfdRj7ILTjKWk W9P1cJDn/H7M1gUDtOLZjK/1yDs+XvjbARe8JbTaPtBogAdrNVDuVxfQEpoP R//QgACPLcmEFy4g/FNaA/4HGFzSKg== "]]}, Annotation[#, "Charting`Private`Tag$2694#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 180}, {0, 5000}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7955632339136686`*^9, 3.7955646033738585`*^9, 3.7956597354451203`*^9, 3.795738471244326*^9, 3.795821594602682*^9, 3.7959102885345635`*^9, 3.7960819434646215`*^9, 3.7961608953838544`*^9, 3.7962099846662164`*^9, 3.7963415884617085`*^9, 3.796572306280075*^9, {3.796600399552927*^9, 3.7966004265335956`*^9}, 3.7966004662943153`*^9, 3.7966021633914785`*^9, { 3.7966776071323347`*^9, 3.796677632064634*^9}, 3.7966799627945223`*^9}, CellLabel->"Out[27]=",ExpressionUUID->"456ea7b2-24b2-43c5-ba56-7511b108fbd1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"yopt2Plot", " ", "=", " ", RowBox[{"Plot", "[", RowBox[{ RowBox[{"ysol2", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "2"}], "]"}], "]"}], "*", "1.1"}]}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Red"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.795220614472849*^9, 3.7952206531495123`*^9}, { 3.795221087352188*^9, 3.795221095310442*^9}, {3.79536596874425*^9, 3.7953659745176067`*^9}}, CellLabel->"In[28]:=",ExpressionUUID->"648f7381-1300-42d1-92ab-d2cfd1a8eb55"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVz2s0lAkAh/EpoZpcOioR1VSGKMSklPH+ZzCvym1jT7IrjDbNriWsHbJy HVOK0GU7tgy5jdwm72ylTYQ6a9rUdrHYSCSVy8gZd2rbD8/5fX4Y/PD93y2k 0WjuX/pf/jVmbpm+zJE+wBxcQhslwnJKttDSMogpuMe/4I0RzzbTWutFV4jG C/fK5ZkqIm28Ik8iqiTMClI6qhnTRMA3auKzojoi0Wyx3Nt8AdwyLePEokfE K6lbo0i4FI2mztEpoi4iTjLGcr+7CvEqj8gk0TAhX+M2re5lAvtZVdLBpk9E vmJRgPoJO7gLlSEOnRowj0m1SzzBgaXm2rvkVm2wXDbNOQe5QhIV1irR0cME v/eC8ogXQFsZUNe8Cs3M0g2NL3wwI1djfdViiPI2R8d78MMj1tmeDX+sRXZ0 sYnrhkBcfmetf5rFgPtc9VXPPcHo3uvYQ9huhMmUkTR2fQhCdytj1XVNcExi deoD8weIs8M+C/qYUAh3OHRlhKNqdnnpqW4zcEZ9MkMjI8FQ+a67fdMcL52N N+fsikY+rbm2+NYW9EdTulm/xqA8cp6wllnCPlFX6kL+gmT7Hx/2c63h7x58 WEhPBNU0rJnN2Qbx89naPp9k0Fc2VDhb2WCPoMprgSwVgmNFvS+sbRE+aOQQ kSBGxqfwzBtbWTiqFwzvk+n4xzvjqsRgOwoPaQWskWTAlLpDHjGwQ/O20fDM gixc6WB/vX3xDrytF21Ni8lBp01Ju/fYDrycMY+2P3oexhfXD3uO7kRciMy/ vfQi0hqGBD5d9iicOWx1v+8SxlUKoV33LuTsDS57HfUbzL/Nmg3p3A1LH+ZR lmEeROmlAwX3HeDt91C560A+3jY+OVzbzEYmw/wTV1GAsMZ9eztqHNGx05Qs tSzEHVVlsetlAvvZcznrzhXh5OrlLQo3QDom0NRZUwIXw5+ixhuBCHZD2/30 UqgzAt9qO3EgzUt5J1hdhoP06IyK2xxMP34y3CO+Bt2z8cqPVlyUB+d2f3hf DoW+jiGzmgvbv4qKuYGV0E9tiek2cYLFzJ/eTjVVCBlfli8qccIZj+Ntk4tl MKQ5Jz/f5AyuRGTgVilD4EjhpdJcZ+SmjuiccbyOstdnhAJDF9A16qIePr0O 0a289OpsF/CiztE5PjVoNivyvaLBwxPPRJVMUQONPBtlrIiHlh7X0LscCv9O vK/tnOWBpcbvZUgpVKzr9Ric52GgIc63vYzCCdfOvtnPPLjoGW3JLKewPleh ZbyIBDvdd2iyisIRdnlQwDISwgTJs6bfKXxMCV3yxohE2NwNH3YTBc3lSt9h NoniWubrm10U2u0HhucJEm2jKQ5+ryhc479K1uaSqNd/OTXbQ8FN/rjCikdi KmHsPPsNhZwDMlqkBwnt1WP+tR8oGOdFSCcOkXCr8Xc/N0lh5IGArRlEotPX 74HFNIUGZdBT/WASgf3brjbNUOBz9s/tDCFh3T6U/HGegvSNjVdcOAnu2vFB l0VyHNey6D8dQWKFp0VCh7oc++w2Hr8c9eVngvVzqKYcI2K9ojohCWkWsrKW ylEvo9u3xpIYqkiiGMvkyOpQa+2OIxGRs2J3jZYc/IVzfGU8CRrdwJSrI4et hWrycwKJ78erhH/ryvEfOZ88RA== "]]}, Annotation[#, "Charting`Private`Tag$2743#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.795220641594819*^9, 3.7952206538170233`*^9}, { 3.7952210880857306`*^9, 3.795221095647665*^9}, 3.795282975439767*^9, 3.7953101315033503`*^9, 3.795343995548295*^9, 3.79536597922633*^9, 3.795366100850031*^9, 3.79536613146845*^9, 3.795366863887533*^9, 3.7953670818648453`*^9, 3.7953674613206854`*^9, 3.795368499375*^9, 3.795368643342637*^9, 3.795370027803183*^9, 3.795398909910513*^9, 3.7955631458421755`*^9, 3.795564603480826*^9, 3.7956597355720825`*^9, 3.795738471347805*^9, 3.7958215947016525`*^9, 3.7959102886105413`*^9, 3.796081943540599*^9, 3.7961608954898205`*^9, 3.796209984759966*^9, 3.7963415884966974`*^9, 3.796572306316066*^9, {3.796600399598913*^9, 3.7966004266875463`*^9}, 3.796600466343301*^9, 3.7966021634774513`*^9, { 3.796677607176319*^9, 3.7966776321426105`*^9}, 3.796679962932479*^9}, CellLabel->"Out[28]=",ExpressionUUID->"1881db66-c004-4cff-b428-af5d6d66d58f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"yopt2Plot", ",", "dataPlot"}], "]"}]], "Input", CellChangeTimes->{{3.795220145317143*^9, 3.795220151595256*^9}, { 3.7952206597096004`*^9, 3.7952206630585136`*^9}, 3.7952210978628488`*^9}, CellLabel->"In[29]:=",ExpressionUUID->"e7eed1ea-5fcb-4fc2-b5ac-05d317bee6ef"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVz2s0lAkAh/EpoZpcOioR1VSGKMSklPH+ZzCvym1jT7IrjDbNriWsHbJy HVOK0GU7tgy5jdwm72ylTYQ6a9rUdrHYSCSVy8gZd2rbD8/5fX4Y/PD93y2k 0WjuX/pf/jVmbpm+zJE+wBxcQhslwnJKttDSMogpuMe/4I0RzzbTWutFV4jG C/fK5ZkqIm28Ik8iqiTMClI6qhnTRMA3auKzojoi0Wyx3Nt8AdwyLePEokfE K6lbo0i4FI2mztEpoi4iTjLGcr+7CvEqj8gk0TAhX+M2re5lAvtZVdLBpk9E vmJRgPoJO7gLlSEOnRowj0m1SzzBgaXm2rvkVm2wXDbNOQe5QhIV1irR0cME v/eC8ogXQFsZUNe8Cs3M0g2NL3wwI1djfdViiPI2R8d78MMj1tmeDX+sRXZ0 sYnrhkBcfmetf5rFgPtc9VXPPcHo3uvYQ9huhMmUkTR2fQhCdytj1XVNcExi deoD8weIs8M+C/qYUAh3OHRlhKNqdnnpqW4zcEZ9MkMjI8FQ+a67fdMcL52N N+fsikY+rbm2+NYW9EdTulm/xqA8cp6wllnCPlFX6kL+gmT7Hx/2c63h7x58 WEhPBNU0rJnN2Qbx89naPp9k0Fc2VDhb2WCPoMprgSwVgmNFvS+sbRE+aOQQ kSBGxqfwzBtbWTiqFwzvk+n4xzvjqsRgOwoPaQWskWTAlLpDHjGwQ/O20fDM gixc6WB/vX3xDrytF21Ni8lBp01Ju/fYDrycMY+2P3oexhfXD3uO7kRciMy/ vfQi0hqGBD5d9iicOWx1v+8SxlUKoV33LuTsDS57HfUbzL/Nmg3p3A1LH+ZR lmEeROmlAwX3HeDt91C560A+3jY+OVzbzEYmw/wTV1GAsMZ9eztqHNGx05Qs tSzEHVVlsetlAvvZcznrzhXh5OrlLQo3QDom0NRZUwIXw5+ixhuBCHZD2/30 UqgzAt9qO3EgzUt5J1hdhoP06IyK2xxMP34y3CO+Bt2z8cqPVlyUB+d2f3hf DoW+jiGzmgvbv4qKuYGV0E9tiek2cYLFzJ/eTjVVCBlfli8qccIZj+Ntk4tl MKQ5Jz/f5AyuRGTgVilD4EjhpdJcZ+SmjuiccbyOstdnhAJDF9A16qIePr0O 0a289OpsF/CiztE5PjVoNivyvaLBwxPPRJVMUQONPBtlrIiHlh7X0LscCv9O vK/tnOWBpcbvZUgpVKzr9Ric52GgIc63vYzCCdfOvtnPPLjoGW3JLKewPleh ZbyIBDvdd2iyisIRdnlQwDISwgTJs6bfKXxMCV3yxohE2NwNH3YTBc3lSt9h NoniWubrm10U2u0HhucJEm2jKQ5+ryhc479K1uaSqNd/OTXbQ8FN/rjCikdi KmHsPPsNhZwDMlqkBwnt1WP+tR8oGOdFSCcOkXCr8Xc/N0lh5IGArRlEotPX 74HFNIUGZdBT/WASgf3brjbNUOBz9s/tDCFh3T6U/HGegvSNjVdcOAnu2vFB l0VyHNey6D8dQWKFp0VCh7oc++w2Hr8c9eVngvVzqKYcI2K9ojohCWkWsrKW ylEvo9u3xpIYqkiiGMvkyOpQa+2OIxGRs2J3jZYc/IVzfGU8CRrdwJSrI4et hWrycwKJ78erhH/ryvEfOZ88RA== "]]}, Annotation[#, "Charting`Private`Tag$2743#1"]& ]}, {}}, {{{}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJxV0j9LAnEAxvEfTQ0NDg4NDVccIRFHmpWV6WVaQxAoNLVUEORikTW5nEPQ IHGIEESQIiEVkf9eQC+gtffg0NBLqHi+yx0cH7483PHjuOnjs8LJmDHG+bv/ 1fWTDmpcYeE4zmMI1zGMGZyUXo6eoneD73Xz9Az7Pm2zH9Cz0jqiI1jEOdks Bc/pl2mHvqIXZLdCR+V5lY7J0DW9yPM3dFxGavSSHN3Sy/LTp1fkZZ1OyEaD XpUTd/SatO9pvrP9QCc53yO9IU+bdErWW3RafrRpV3pPSCc77Jsy+8xO+y/s GWm9stPftNmSe2/s9OE7e1ZedNnpHm34b8o9djrWZ9+WX7RHewP2HekM3V81 3VBC "]]}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6], PointBox[{{25., 1475.}, {25., 1475.}}]}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.795220152029117*^9, 3.7952202299517813`*^9, 3.7952205518488293`*^9, 3.795220664351946*^9, 3.79522109864314*^9, 3.795282975502266*^9, 3.7953101315353394`*^9, 3.795343995595168*^9, 3.795365979275316*^9, 3.7953661008690243`*^9, 3.795366131508438*^9, 3.795366863922521*^9, 3.795367081932823*^9, 3.795367461404659*^9, 3.7953684994119887`*^9, 3.795368643410617*^9, 3.7953700278851557`*^9, 3.7953989100124817`*^9, 3.79556314589316*^9, 3.795564603583794*^9, 3.7956597356590548`*^9, 3.7957384713767967`*^9, 3.795821594729644*^9, 3.7959102886355324`*^9, 3.7960819435685873`*^9, 3.796160895514813*^9, 3.796209984838088*^9, 3.796341588511693*^9, 3.7965723063400574`*^9, {3.796600399618905*^9, 3.796600426840499*^9}, 3.796600466373293*^9, 3.7966021635024443`*^9, { 3.796677607201312*^9, 3.7966776321756*^9}, 3.796679963052442*^9}, CellLabel->"Out[29]=",ExpressionUUID->"90798b6a-9909-4b73-aa33-691e84e2f5a2"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Residual2Continuous", " ", "=", " ", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], "-", " ", RowBox[{"ysol2", "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}], ",", RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.794103994770723*^9, 3.794104072448557*^9}, { 3.7941043493978257`*^9, 3.7941043930003147`*^9}, {3.794104453521432*^9, 3.79410446002223*^9}, 3.794104546081687*^9, {3.7941398141170588`*^9, 3.794139831776888*^9}, {3.795366494685523*^9, 3.7953665580072813`*^9}}, CellLabel->"In[30]:=",ExpressionUUID->"0d64d4b2-bb1c-4180-a093-50033253e4d7"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7DtFvV5bcqkegAo4ZJyrUIn9qAflczg4zf66 4giXOZQv4PDF0mimaaEllC/iEDN/hbLIFwcoX8Ihys4gzz/SHcqXcbgz6/mb ul4fKF/B4cRj+YRHMoFQvpJD3ImDWVtYQ6B8FYdV/NsaGaLCoHw1B42f31oO lURA+RoOV4SCk5U/B0H5Wg4PznvtSzIJhvJ1HAwYdy0NNPaD8vUcCm5mndjV GgrlGzjMaD3pLmbpBeUbOjRMrj/EIKoE5Rs5POjUUr/RZ+0A4Rs7FAivy9/6 zBPKN3F4YPm7Z2Z3IJRv6pBgtm+7vLwXlG/mwPBl4n7R+WZQvjmQLzhdsJYD yrdwYIhL/+k9mRvKt3RoqHks279SH8q3cmC4Waa00soXyge6w26rx98TplC+ jYMD+/P1BvsdoXxbB4cPsdLbDsDC387hwekj1y1ZYeFj78BgfedUrKEOVL2D AwOf4uuawy4QfgOQXztxaphpAFTe0eHAwpkWabnxUHlHh4RSZu+A8nCovJND w2L3TndOW4j5DU4OD7TK35lHx0Ltc3ZQEOQobbCIh8o7OzhIiHzxnOYElQfa q2LgmNGrAZV3cTjQLHBBNDIaKu/qwGCikfGtJgAqD+TP8+w4YK4PlXdzYDjJ r/L+hAHUfW4OBxYUixaegbnf3UEh6OWCs74JDgAqHr2R "]]}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Residual\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImageMargins->0., ImageSize->Automatic, ImageSizeRaw->Automatic, Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 46.}, {-124.88284040248664`, 130.43135114260167`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7953665591998796`*^9, 3.7953668639745054`*^9, 3.7953670820567865`*^9, 3.7953674615100746`*^9, 3.795368499491966*^9, 3.7953686434985905`*^9, 3.7953700279951234`*^9, 3.795398910123448*^9, 3.795563146024121*^9, 3.795564603717752*^9, 3.79565973580501*^9, 3.795738471418783*^9, 3.795821594821615*^9, 3.795910288678521*^9, 3.7960819436465654`*^9, 3.79616089559179*^9, 3.7962099850099597`*^9, 3.7963415885466824`*^9, 3.796572306379046*^9, {3.7966003996538963`*^9, 3.796600426936471*^9}, 3.796600466416277*^9, 3.7966021635694246`*^9, {3.7966776072472982`*^9, 3.796677632260573*^9}, 3.796679963172407*^9}, CellLabel->"Out[30]=",ExpressionUUID->"7c6df6ef-9846-4c73-9b91-ad07589b3388"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Model 3 Analysis - Continuous Model", "Subsubsection", CellChangeTimes->{{3.794077240676777*^9, 3.794077258669628*^9}, { 3.79408165086436*^9, 3.794081654270839*^9}, 3.7940914004296412`*^9, { 3.7952207907768416`*^9, 3.795220797392186*^9}, 3.7952208353682756`*^9, 3.795221267979395*^9, {3.7952215671921034`*^9, 3.7952215698649707`*^9}, 3.7953666734391823`*^9},ExpressionUUID->"ecc7d4b4-dd83-4b4e-832c-\ 3dff28264389"], Cell[BoxData[ RowBox[{"Remove", "[", RowBox[{ "r", ",", "A", ",", "B", ",", "CC", ",", "K", ",", "KK", ",", "SSE1", ",", "SSE2", ",", "SSE3"}], "]"}]], "Input", CellChangeTimes->{{3.79534351346717*^9, 3.79534352772403*^9}, { 3.795343973404991*^9, 3.7953439741237307`*^9}, {3.7953654216864853`*^9, 3.7953654224247665`*^9}, {3.795368565477268*^9, 3.7953685697920513`*^9}}, CellLabel->"In[31]:=",ExpressionUUID->"2c6d4c04-cc77-4e12-9911-460d3a50ab7f"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"solm", "=", RowBox[{"ParametricNDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}], "\[Equal]", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"A", " ", RowBox[{ RowBox[{"y", "[", "t", "]"}], "^", "2"}]}], "+", RowBox[{"B", " ", RowBox[{"y", "[", "t", "]"}]}], " ", "+", " ", "CC"}], ")"}], RowBox[{ RowBox[{"(", RowBox[{"KK", " ", "-", " ", RowBox[{"y", "[", "t", "]"}]}], ")"}], "/", "KK"}]}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}], ",", "y", ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", " ", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.7952833520686026`*^9, 3.795283397684911*^9}, { 3.7952834457585154`*^9, 3.7952834466959925`*^9}}, CellLabel->"In[32]:=",ExpressionUUID->"ae78d813-35b6-453b-9da8-1eeb18459efb"], Cell[BoxData[ RowBox[{"{", RowBox[{"y", "\[Rule]", TagBox[ TemplateBox[{RowBox[{ StyleBox[ TagBox["ParametricFunction", "SummaryHead"], "NonInterpretableSummary"], StyleBox["[", "NonInterpretableSummary"], DynamicModuleBox[{ Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquarePlusIconMedium"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], GraphicsBox[{{}, {}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090884856*^-8}, { 0.0874367476365131, 0.08197166587636243}, { 0.18222810297558026`, 0.1358255024317191}, { 0.27073779576926765`, 0.13315455086535802`}, { 0.3575112797365835, 0.08143316377978886}, { 0.4516394623155443, -0.007347854733426912}, { 0.5394859823491253, -0.08816932746972758}, { 0.6346872009943513, -0.13787329990112937`}, { 0.7281522108132057, -0.12816574147938434`}, { 0.8153355580866803, -0.07001063326902106}, { 0.9098736039718, 0.02121659675083076}, { 0.9999999090909091, 0.10024804094746914`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090880112*^-8}, { 0.0874367476365131, 0.08090369567458766}, { 0.18222810297558026`, 0.12746559200130417`}, { 0.27073779576926765`, 0.1116266937044405}, { 0.3575112797365835, 0.046963725126600256`}, { 0.4516394623155443, -0.04509050859182233}, { 0.5394859823491253, -0.11115559892361665`}, { 0.6346872009943513, -0.12642564594664163`}, { 0.7281522108132057, -0.07740196037964171}, { 0.8153355580866803, 0.004179083230780074}, { 0.9098736039718, 0.08937493944143977}, { 0.9999999090909091, 0.12834702174618903`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090875369*^-8}, { 0.0874367476365131, 0.07984396759533968}, { 0.18222810297558026`, 0.11939549826670079`}, { 0.27073779576926765`, 0.09184904274707059}, { 0.3575112797365835, 0.017913117173780694`}, { 0.4516394623155443, -0.07109962300031061}, { 0.5394859823491253, -0.11717052830989395`}, { 0.6346872009943513, -0.09879571259704382}, { 0.7281522108132057, -0.022693471356141894`}, { 0.8153355580866803, 0.06128703302641453}, { 0.9098736039718, 0.11605625481609519`}, { 0.9999999090909091, 0.10415981267620744`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090870287*^-8}, { 0.0874367476365131, 0.07879243663407876}, { 0.18222810297558026`, 0.1116081822210312}, { 0.27073779576926765`, 0.07372482040530459}, { 0.3575112797365835, -0.006267252216927747}, { 0.4516394623155443, -0.08743897872291118}, { 0.5394859823491253, -0.11109134853087661`}, { 0.6346872009943513, -0.06371549528296311}, { 0.7281522108132057, 0.02544576624054603}, { 0.8153355580866803, 0.09464282937855747}, { 0.9098736039718, 0.10731931496853601`}, { 0.9999999090909091, 0.0516787429232188}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090865543*^-8}, { 0.0874367476365131, 0.07774905743802465}, { 0.18222810297558026`, 0.10409673959866513`}, { 0.27073779576926765`, 0.05716133039337165}, { 0.3575112797365835, -0.026084496726167965`}, { 0.4516394623155443, -0.09591154799603378}, { 0.5394859823491253, -0.09685594593277226}, { 0.6346872009943513, -0.02730376120671303}, { 0.7281522108132057, 0.061646715198529656`}, { 0.8153355580866803, 0.1046634148537508}, {0.9098736039718, 0.07509702498429204}, { 0.9999999090909091, -0.006536873471333553}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.0909090908608*^-8}, { 0.0874367476365131, 0.07671378556951527}, { 0.18222810297558026`, 0.09685439581479163}, { 0.27073779576926765`, 0.042069810325321415`}, { 0.3575112797365835, -0.042006785469922474`}, { 0.4516394623155443, -0.09808544986431629}, { 0.5394859823491253, -0.07760167026270944}, { 0.6346872009943513, 0.0063643674428021085`}, { 0.7281522108132057, 0.08405712128907425}, { 0.8153355580866803, 0.09555213349985489}, { 0.9098736039718, 0.03202960165577907}, { 0.9999999090909091, -0.054402034659985464`}}]}}, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, Background -> GrayLevel[0.93], BaseStyle -> {FontFamily -> "Arial"}, DisplayFunction -> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Thickness[Tiny], GrayLevel[0.7]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> {Automatic, Dynamic[ 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])]}, LabelStyle -> {FontFamily -> "Arial"}, Method -> {"ScalingFunctions" -> None}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}, Ticks -> {Automatic, Automatic}], GridBox[{{ RowBox[{ TagBox["\"Expression: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TagBox["y", HoldForm], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Parameters: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquareMinusIconMedium"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], GraphicsBox[{{}, {}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090884856*^-8}, { 0.0874367476365131, 0.08197166587636243}, { 0.18222810297558026`, 0.1358255024317191}, { 0.27073779576926765`, 0.13315455086535802`}, { 0.3575112797365835, 0.08143316377978886}, { 0.4516394623155443, -0.007347854733426912}, { 0.5394859823491253, -0.08816932746972758}, { 0.6346872009943513, -0.13787329990112937`}, { 0.7281522108132057, -0.12816574147938434`}, { 0.8153355580866803, -0.07001063326902106}, { 0.9098736039718, 0.02121659675083076}, { 0.9999999090909091, 0.10024804094746914`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090880112*^-8}, { 0.0874367476365131, 0.08090369567458766}, { 0.18222810297558026`, 0.12746559200130417`}, { 0.27073779576926765`, 0.1116266937044405}, { 0.3575112797365835, 0.046963725126600256`}, { 0.4516394623155443, -0.04509050859182233}, { 0.5394859823491253, -0.11115559892361665`}, { 0.6346872009943513, -0.12642564594664163`}, { 0.7281522108132057, -0.07740196037964171}, { 0.8153355580866803, 0.004179083230780074}, { 0.9098736039718, 0.08937493944143977}, { 0.9999999090909091, 0.12834702174618903`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090875369*^-8}, { 0.0874367476365131, 0.07984396759533968}, { 0.18222810297558026`, 0.11939549826670079`}, { 0.27073779576926765`, 0.09184904274707059}, { 0.3575112797365835, 0.017913117173780694`}, { 0.4516394623155443, -0.07109962300031061}, { 0.5394859823491253, -0.11717052830989395`}, { 0.6346872009943513, -0.09879571259704382}, { 0.7281522108132057, -0.022693471356141894`}, { 0.8153355580866803, 0.06128703302641453}, { 0.9098736039718, 0.11605625481609519`}, { 0.9999999090909091, 0.10415981267620744`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090870287*^-8}, { 0.0874367476365131, 0.07879243663407876}, { 0.18222810297558026`, 0.1116081822210312}, { 0.27073779576926765`, 0.07372482040530459}, { 0.3575112797365835, -0.006267252216927747}, { 0.4516394623155443, -0.08743897872291118}, { 0.5394859823491253, -0.11109134853087661`}, { 0.6346872009943513, -0.06371549528296311}, { 0.7281522108132057, 0.02544576624054603}, { 0.8153355580866803, 0.09464282937855747}, { 0.9098736039718, 0.10731931496853601`}, { 0.9999999090909091, 0.0516787429232188}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090865543*^-8}, { 0.0874367476365131, 0.07774905743802465}, { 0.18222810297558026`, 0.10409673959866513`}, { 0.27073779576926765`, 0.05716133039337165}, { 0.3575112797365835, -0.026084496726167965`}, { 0.4516394623155443, -0.09591154799603378}, { 0.5394859823491253, -0.09685594593277226}, { 0.6346872009943513, -0.02730376120671303}, { 0.7281522108132057, 0.061646715198529656`}, { 0.8153355580866803, 0.1046634148537508}, {0.9098736039718, 0.07509702498429204}, { 0.9999999090909091, -0.006536873471333553}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.0909090908608*^-8}, { 0.0874367476365131, 0.07671378556951527}, { 0.18222810297558026`, 0.09685439581479163}, { 0.27073779576926765`, 0.042069810325321415`}, { 0.3575112797365835, -0.042006785469922474`}, { 0.4516394623155443, -0.09808544986431629}, { 0.5394859823491253, -0.07760167026270944}, { 0.6346872009943513, 0.0063643674428021085`}, { 0.7281522108132057, 0.08405712128907425}, { 0.8153355580866803, 0.09555213349985489}, { 0.9098736039718, 0.03202960165577907}, { 0.9999999090909091, -0.054402034659985464`}}]}}, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, Background -> GrayLevel[0.93], BaseStyle -> {FontFamily -> "Arial"}, DisplayFunction -> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Thickness[Tiny], GrayLevel[0.7]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> {Automatic, Dynamic[ 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])]}, LabelStyle -> {FontFamily -> "Arial"}, Method -> {"ScalingFunctions" -> None}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}, Ticks -> {Automatic, Automatic}], GridBox[{{ RowBox[{ TagBox["\"Expression: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TagBox["y", HoldForm], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Parameters: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Generator: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["ParametricNDSolve", "SummaryItem"]}]}, { RowBox[{ TagBox[ "\"Dependent variables: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", "y", "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox[ "\"Independent variables: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", "t", "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues :> {}], StyleBox["]", "NonInterpretableSummary"]}]}, "CopyTag", DisplayFunction->(#& ), InterpretationFunction->("ParametricFunction[<>]"& )], False, Editable->False, SelectWithContents->True, Selectable->False]}], "}"}]], "Output", CellChangeTimes->{ 3.79528339873217*^9, 3.7952834473834724`*^9, 3.7953110839383526`*^9, 3.795341676642378*^9, 3.7953417920218267`*^9, 3.7953419177309313`*^9, 3.7953434815496893`*^9, 3.795343530271368*^9, 3.7953660068672714`*^9, 3.7953661009420033`*^9, 3.795366131572418*^9, 3.795366209921036*^9, 3.795366864073477*^9, 3.7953670918057513`*^9, 3.7953671337742834`*^9, 3.7953674616880198`*^9, 3.7953684996169252`*^9, 3.7953686436865377`*^9, 3.7953700342961316`*^9, 3.7953989363109736`*^9, 3.7953992945667124`*^9, 3.795563270812217*^9, 3.7955646673803215`*^9, 3.795659743883523*^9, 3.7957384731542892`*^9, 3.7958215949345803`*^9, 3.7959102887674932`*^9, 3.7960819437605305`*^9, 3.7961608957037554`*^9, 3.7962099851037087`*^9, 3.7963415886336555`*^9, 3.7965723064650187`*^9, {3.7966003997048807`*^9, 3.796600427141407*^9}, 3.796600466501253*^9, 3.7966021636513987`*^9, { 3.796677607331272*^9, 3.7966776323475466`*^9}, 3.7966799634163313`*^9}, CellLabel->"Out[32]=",ExpressionUUID->"d25e344e-9388-4451-8f14-98ed23b1d92c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"y", "[", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "]"}], "[", "t", "]"}], "/.", "solm"}]], "Input", CellChangeTimes->{{3.795341944703653*^9, 3.795341971194625*^9}}, CellLabel->"In[33]:=",ExpressionUUID->"e87f1920-3eda-4b85-ac41-cc29c28b31c4"], Cell[BoxData[ RowBox[{ RowBox[{ TagBox[ TemplateBox[{RowBox[{ StyleBox[ TagBox["ParametricFunction", "SummaryHead"], "NonInterpretableSummary"], StyleBox["[", "NonInterpretableSummary"], DynamicModuleBox[{ Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquarePlusIconMedium"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], GraphicsBox[{{}, {}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090884856*^-8}, { 0.0874367476365131, 0.08197166587636243}, { 0.18222810297558026`, 0.1358255024317191}, { 0.27073779576926765`, 0.13315455086535802`}, { 0.3575112797365835, 0.08143316377978886}, { 0.4516394623155443, -0.007347854733426912}, { 0.5394859823491253, -0.08816932746972758}, { 0.6346872009943513, -0.13787329990112937`}, { 0.7281522108132057, -0.12816574147938434`}, { 0.8153355580866803, -0.07001063326902106}, { 0.9098736039718, 0.02121659675083076}, { 0.9999999090909091, 0.10024804094746914`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090880112*^-8}, { 0.0874367476365131, 0.08090369567458766}, { 0.18222810297558026`, 0.12746559200130417`}, { 0.27073779576926765`, 0.1116266937044405}, { 0.3575112797365835, 0.046963725126600256`}, { 0.4516394623155443, -0.04509050859182233}, { 0.5394859823491253, -0.11115559892361665`}, { 0.6346872009943513, -0.12642564594664163`}, { 0.7281522108132057, -0.07740196037964171}, { 0.8153355580866803, 0.004179083230780074}, { 0.9098736039718, 0.08937493944143977}, { 0.9999999090909091, 0.12834702174618903`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090875369*^-8}, { 0.0874367476365131, 0.07984396759533968}, { 0.18222810297558026`, 0.11939549826670079`}, { 0.27073779576926765`, 0.09184904274707059}, { 0.3575112797365835, 0.017913117173780694`}, { 0.4516394623155443, -0.07109962300031061}, { 0.5394859823491253, -0.11717052830989395`}, { 0.6346872009943513, -0.09879571259704382}, { 0.7281522108132057, -0.022693471356141894`}, { 0.8153355580866803, 0.06128703302641453}, { 0.9098736039718, 0.11605625481609519`}, { 0.9999999090909091, 0.10415981267620744`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090870287*^-8}, { 0.0874367476365131, 0.07879243663407876}, { 0.18222810297558026`, 0.1116081822210312}, { 0.27073779576926765`, 0.07372482040530459}, { 0.3575112797365835, -0.006267252216927747}, { 0.4516394623155443, -0.08743897872291118}, { 0.5394859823491253, -0.11109134853087661`}, { 0.6346872009943513, -0.06371549528296311}, { 0.7281522108132057, 0.02544576624054603}, { 0.8153355580866803, 0.09464282937855747}, { 0.9098736039718, 0.10731931496853601`}, { 0.9999999090909091, 0.0516787429232188}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090865543*^-8}, { 0.0874367476365131, 0.07774905743802465}, { 0.18222810297558026`, 0.10409673959866513`}, { 0.27073779576926765`, 0.05716133039337165}, { 0.3575112797365835, -0.026084496726167965`}, { 0.4516394623155443, -0.09591154799603378}, { 0.5394859823491253, -0.09685594593277226}, { 0.6346872009943513, -0.02730376120671303}, { 0.7281522108132057, 0.061646715198529656`}, { 0.8153355580866803, 0.1046634148537508}, {0.9098736039718, 0.07509702498429204}, { 0.9999999090909091, -0.006536873471333553}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.0909090908608*^-8}, { 0.0874367476365131, 0.07671378556951527}, { 0.18222810297558026`, 0.09685439581479163}, { 0.27073779576926765`, 0.042069810325321415`}, { 0.3575112797365835, -0.042006785469922474`}, { 0.4516394623155443, -0.09808544986431629}, { 0.5394859823491253, -0.07760167026270944}, { 0.6346872009943513, 0.0063643674428021085`}, { 0.7281522108132057, 0.08405712128907425}, { 0.8153355580866803, 0.09555213349985489}, { 0.9098736039718, 0.03202960165577907}, { 0.9999999090909091, -0.054402034659985464`}}]}}, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, Background -> GrayLevel[0.93], BaseStyle -> {FontFamily -> "Arial"}, DisplayFunction -> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Thickness[Tiny], GrayLevel[0.7]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> {Automatic, Dynamic[ 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])]}, LabelStyle -> {FontFamily -> "Arial"}, Method -> {"ScalingFunctions" -> None}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}, Ticks -> {Automatic, Automatic}], GridBox[{{ RowBox[{ TagBox["\"Expression: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TagBox["y", HoldForm], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Parameters: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquareMinusIconMedium"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], GraphicsBox[{{}, {}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090884856*^-8}, { 0.0874367476365131, 0.08197166587636243}, { 0.18222810297558026`, 0.1358255024317191}, { 0.27073779576926765`, 0.13315455086535802`}, { 0.3575112797365835, 0.08143316377978886}, { 0.4516394623155443, -0.007347854733426912}, { 0.5394859823491253, -0.08816932746972758}, { 0.6346872009943513, -0.13787329990112937`}, { 0.7281522108132057, -0.12816574147938434`}, { 0.8153355580866803, -0.07001063326902106}, { 0.9098736039718, 0.02121659675083076}, { 0.9999999090909091, 0.10024804094746914`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090880112*^-8}, { 0.0874367476365131, 0.08090369567458766}, { 0.18222810297558026`, 0.12746559200130417`}, { 0.27073779576926765`, 0.1116266937044405}, { 0.3575112797365835, 0.046963725126600256`}, { 0.4516394623155443, -0.04509050859182233}, { 0.5394859823491253, -0.11115559892361665`}, { 0.6346872009943513, -0.12642564594664163`}, { 0.7281522108132057, -0.07740196037964171}, { 0.8153355580866803, 0.004179083230780074}, { 0.9098736039718, 0.08937493944143977}, { 0.9999999090909091, 0.12834702174618903`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090875369*^-8}, { 0.0874367476365131, 0.07984396759533968}, { 0.18222810297558026`, 0.11939549826670079`}, { 0.27073779576926765`, 0.09184904274707059}, { 0.3575112797365835, 0.017913117173780694`}, { 0.4516394623155443, -0.07109962300031061}, { 0.5394859823491253, -0.11717052830989395`}, { 0.6346872009943513, -0.09879571259704382}, { 0.7281522108132057, -0.022693471356141894`}, { 0.8153355580866803, 0.06128703302641453}, { 0.9098736039718, 0.11605625481609519`}, { 0.9999999090909091, 0.10415981267620744`}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090870287*^-8}, { 0.0874367476365131, 0.07879243663407876}, { 0.18222810297558026`, 0.1116081822210312}, { 0.27073779576926765`, 0.07372482040530459}, { 0.3575112797365835, -0.006267252216927747}, { 0.4516394623155443, -0.08743897872291118}, { 0.5394859823491253, -0.11109134853087661`}, { 0.6346872009943513, -0.06371549528296311}, { 0.7281522108132057, 0.02544576624054603}, { 0.8153355580866803, 0.09464282937855747}, { 0.9098736039718, 0.10731931496853601`}, { 0.9999999090909091, 0.0516787429232188}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.090909090865543*^-8}, { 0.0874367476365131, 0.07774905743802465}, { 0.18222810297558026`, 0.10409673959866513`}, { 0.27073779576926765`, 0.05716133039337165}, { 0.3575112797365835, -0.026084496726167965`}, { 0.4516394623155443, -0.09591154799603378}, { 0.5394859823491253, -0.09685594593277226}, { 0.6346872009943513, -0.02730376120671303}, { 0.7281522108132057, 0.061646715198529656`}, { 0.8153355580866803, 0.1046634148537508}, {0.9098736039718, 0.07509702498429204}, { 0.9999999090909091, -0.006536873471333553}}]}, { GrayLevel[0.55], AbsoluteThickness[1.5], Opacity[1.], LineBox[{{9.09090909090909*^-8, 9.0909090908608*^-8}, { 0.0874367476365131, 0.07671378556951527}, { 0.18222810297558026`, 0.09685439581479163}, { 0.27073779576926765`, 0.042069810325321415`}, { 0.3575112797365835, -0.042006785469922474`}, { 0.4516394623155443, -0.09808544986431629}, { 0.5394859823491253, -0.07760167026270944}, { 0.6346872009943513, 0.0063643674428021085`}, { 0.7281522108132057, 0.08405712128907425}, { 0.8153355580866803, 0.09555213349985489}, { 0.9098736039718, 0.03202960165577907}, { 0.9999999090909091, -0.054402034659985464`}}]}}, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, Background -> GrayLevel[0.93], BaseStyle -> {FontFamily -> "Arial"}, DisplayFunction -> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Thickness[Tiny], GrayLevel[0.7]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> {Automatic, Dynamic[ 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])]}, LabelStyle -> {FontFamily -> "Arial"}, Method -> {"ScalingFunctions" -> None}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}, Ticks -> {Automatic, Automatic}], GridBox[{{ RowBox[{ TagBox["\"Expression: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TagBox["y", HoldForm], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Parameters: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Generator: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["ParametricNDSolve", "SummaryItem"]}]}, { RowBox[{ TagBox[ "\"Dependent variables: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", "y", "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox[ "\"Independent variables: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", "t", "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues :> {}], StyleBox["]", "NonInterpretableSummary"]}]}, "CopyTag", DisplayFunction->(#& ), InterpretationFunction->("ParametricFunction[<>]"& )], False, Editable->False, SelectWithContents->True, Selectable->False], "[", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "]"}], "[", "t", "]"}]], "Output", CellChangeTimes->{ 3.795341973522967*^9, 3.7953434816903114`*^9, 3.795343532631423*^9, 3.7953660069682417`*^9, 3.7953661010059834`*^9, 3.795366131616404*^9, 3.7953662101019783`*^9, 3.795366864112463*^9, 3.7953670919217157`*^9, 3.795367133889247*^9, 3.7953674617879896`*^9, 3.7953684997128954`*^9, 3.795368643769868*^9, 3.7953700344080987`*^9, 3.795398936397946*^9, 3.7953992946292105`*^9, 3.7955632731704884`*^9, 3.7955646675012856`*^9, 3.7956597439804926`*^9, 3.795738473276665*^9, 3.7958215951984987`*^9, 3.7959102888554745`*^9, 3.7960819439854617`*^9, 3.79616089598367*^9, 3.7962099851974573`*^9, 3.7963415886886387`*^9, 3.7965723067589273`*^9, { 3.7966003997988515`*^9, 3.7966004272403755`*^9}, 3.79660046654324*^9, 3.796602163691386*^9, {3.7966776075462065`*^9, 3.796677632444516*^9}, 3.796679963536293*^9}, CellLabel->"Out[33]=",ExpressionUUID->"8a86a9f8-0b59-4717-8a0f-4e70190fb7f5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Show", "[", RowBox[{"{", RowBox[{"dataPlot", ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "[", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "]"}], "[", "t", "]"}], "/.", "solm"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "tend"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "20000"}], "}"}]}], "}"}]}]}], "]"}]}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{"A", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"B", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"CC", ",", "0", ",", "100"}], "}"}], ",", RowBox[{"{", RowBox[{"KK", ",", "1", ",", "10000"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.795563481303815*^9, 3.795563565387802*^9}, { 3.795563662848634*^9, 3.7955636769020777`*^9}, 3.7955637177999806`*^9, { 3.7955637480057573`*^9, 3.7955637702670035`*^9}, {3.795563826429491*^9, 3.795563832042944*^9}, {3.7955638623985415`*^9, 3.7955639235193777`*^9}, { 3.7955639996359463`*^9, 3.7955640000328193`*^9}}, CellLabel->"In[34]:=",ExpressionUUID->"bbbc40eb-fdcb-43cc-bca4-3816c0119d79"], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`A$$ = -1, $CellContext`B$$ = 0, $CellContext`CC$$ = 0, $CellContext`KK$$ = 1, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`A$$], -1, 1}, { Hold[$CellContext`B$$], 0, 10}, { Hold[$CellContext`CC$$], 0, 100}, { Hold[$CellContext`KK$$], 1, 10000}}, Typeset`size$$ = { 576., {171., 180.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`A$2875$$ = 0, $CellContext`B$2880$$ = 0, $CellContext`CC$2881$$ = 0, $CellContext`KK$2882$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`A$$ = -1, $CellContext`B$$ = 0, $CellContext`CC$$ = 0, $CellContext`KK$$ = 1}, "ControllerVariables" :> { Hold[$CellContext`A$$, $CellContext`A$2875$$, 0], Hold[$CellContext`B$$, $CellContext`B$2880$$, 0], Hold[$CellContext`CC$$, $CellContext`CC$2881$$, 0], Hold[$CellContext`KK$$, $CellContext`KK$2882$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Show[{$CellContext`dataPlot, Plot[ ReplaceAll[ $CellContext`y[$CellContext`A$$, $CellContext`B$$, \ $CellContext`CC$$, $CellContext`KK$$][$CellContext`t], $CellContext`solm], \ {$CellContext`t, 0, 100}, PlotRange -> {{0, $CellContext`tend}, {0, 20000}}]}], "Specifications" :> {{$CellContext`A$$, -1, 1}, {$CellContext`B$$, 0, 10}, {$CellContext`CC$$, 0, 100}, {$CellContext`KK$$, 1, 10000}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{650., {303., 313.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.7955646676032543`*^9, 3.7955646768903894`*^9}, 3.795659744113452*^9, 3.79573847332265*^9, 3.795821596465106*^9, 3.79591029013086*^9, 3.7960819450811224`*^9, 3.796160896962368*^9, 3.7962099852912054`*^9, 3.7963415896143537`*^9, 3.796572307734626*^9, { 3.7966003998958216`*^9, 3.7966004273463435`*^9}, 3.796600466687194*^9, 3.796602163755367*^9, {3.79667760859988*^9, 3.796677632535487*^9}, 3.7966799636492577`*^9}, CellLabel->"Out[34]=",ExpressionUUID->"514ff7ff-9e3c-4230-916d-bc8717b81195"], Cell[BoxData[ TemplateBox[{ "InterpolatingFunction","dmval", "\"Input value \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.002042857142857143`\\\", \ \\\"}\\\"}]\\) lies outside the range of data in the interpolating function. \ Extrapolation will be used.\"",2,60,2,24240470123686402903,"Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.7966799660275235`*^9}, CellLabel->"",ExpressionUUID->"be6d91ac-ba72-4f2b-b8d6-566f1013ba67"] }, Open ]], Cell["\<\ Try (from Manipulate) A = -0.000001, B = .13, CC = 9.4, and KK = 6860.\ \>", "Text", CellChangeTimes->{{3.7955639551156073`*^9, 3.79556398524618*^9}, { 3.7955641868442435`*^9, 3.7955642153403053`*^9}},ExpressionUUID->"2e2a95ac-f17f-44b5-b252-\ ff8bf2a4abf0"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"SSE", "[", RowBox[{"A_", ",", "B_", ",", "CC_", ",", "KK_"}], "]"}], " ", "=", " ", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], " ", "-", " ", RowBox[{ RowBox[{"y", "[", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "]"}], "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}], "/.", "solm"}], " ", ")"}], "^", "2"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.7950507138744826`*^9, 3.795050769441329*^9}, 3.795050866852136*^9, 3.7952200097712417`*^9, {3.7952205414305944`*^9, 3.7952205418771353`*^9}, {3.7952210090243845`*^9, 3.7952210283748565`*^9}, {3.7953104054677176`*^9, 3.7953104314722137`*^9}, {3.7953111549184575`*^9, 3.7953111994744387`*^9}, 3.795311234379429*^9, {3.795342051476116*^9, 3.795342072608689*^9}}, CellLabel->"In[35]:=",ExpressionUUID->"e9b4301c-7898-4e0b-a322-b9fcda0ab538"], Cell["\<\ I am having trouble conditioning the FindMiniumum command to get success in \ Mathematica with this many parameters (5).\ \>", "Text", CellChangeTimes->{{3.79556335216043*^9, 3.7955633900076313`*^9}, 3.7962099686765137`*^9},ExpressionUUID->"7860877e-2a68-4caf-8d3d-\ efa088e660c2"], Cell["\<\ Try (from Manipulate) A = -0.000001, B = .13, CC = 9.4, and KK = 6860.\ \>", "Text", CellChangeTimes->{{3.7955639551156073`*^9, 3.79556398524618*^9}, { 3.7955641868442435`*^9, 3.7955642153403053`*^9}},ExpressionUUID->"548f40fa-01fd-4cbf-b594-\ eb73830b8074"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"solABKK0", "=", RowBox[{"FindMinimum", "[", RowBox[{ RowBox[{"SSE", "[", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "]"}], ",", RowBox[{"{", RowBox[{"A", ",", RowBox[{"-", "0.000001"}]}], "}"}], ",", RowBox[{"{", RowBox[{"B", ",", ".13"}], "}"}], ",", RowBox[{"{", RowBox[{"CC", ",", "9.4"}], "}"}], ",", RowBox[{"{", RowBox[{"KK", ",", "6860"}], "}"}], ",", RowBox[{"MaxIterations", "\[Rule]", "1000"}], ",", RowBox[{"WorkingPrecision", "\[Rule]", "24"}], ",", RowBox[{"PrecisionGoal", "\[Rule]", "10"}], ",", RowBox[{"AccuracyGoal", "\[Rule]", "\[Infinity]"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.795050828189588*^9, 3.795050850241111*^9}, { 3.79505091616125*^9, 3.795050917776023*^9}, {3.7951368700276732`*^9, 3.79513688516893*^9}, {3.795220018286476*^9, 3.795220024908913*^9}, { 3.7952205109995537`*^9, 3.79522051395774*^9}, 3.7952205931376557`*^9, { 3.7952210327276263`*^9, 3.7952210812838993`*^9}, {3.795311212017495*^9, 3.795311219049533*^9}, 3.7953112592257824`*^9, {3.795311676381109*^9, 3.7953116926486263`*^9}, {3.795342093470457*^9, 3.795342097783599*^9}, { 3.795342519267187*^9, 3.795342540380067*^9}, {3.79534297171609*^9, 3.7953430382428875`*^9}, {3.795343138198354*^9, 3.7953431477632055`*^9}, 3.795343550831314*^9, {3.7953437172867117`*^9, 3.7953437217404003`*^9}, { 3.795343770569952*^9, 3.7953437708355775`*^9}, {3.795343836803405*^9, 3.7953438371373105`*^9}, {3.7953438704718256`*^9, 3.795343886038231*^9}, 3.7953661821128616`*^9, {3.7953662323129735`*^9, 3.795366254209643*^9}, 3.7953671110688543`*^9, {3.795367141307519*^9, 3.795367148984389*^9}, { 3.795370055926053*^9, 3.795370056205963*^9}, {3.795398946865219*^9, 3.7953989693105974`*^9}, {3.7953993137096796`*^9, 3.7953993363380833`*^9}, {3.7955633027452636`*^9, 3.795563320252249*^9}, { 3.7955642402531586`*^9, 3.7955642540398755`*^9}}, CellLabel->"In[36]:=",ExpressionUUID->"0c322af1-dd0f-41bc-83d8-7b92bc7f7507"], Cell[BoxData[ TemplateBox[{ "FindMinimum","sszero", "\"The step size in the search has become less than the tolerance \ prescribed by the PrecisionGoal option, but the gradient is larger than the \ tolerance specified by the AccuracyGoal option. There is a possibility that \ the method has stalled at a point that is not a local minimum.\"",2,36,1, 24240470123686402903,"Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{ 3.795564255724355*^9, 3.7955646683320303`*^9, 3.7956597448322306`*^9, 3.795738473854529*^9, 3.7958215971059093`*^9, 3.7959102907209873`*^9, 3.7960819456649446`*^9, 3.796160897568184*^9, 3.7962099857912593`*^9, 3.796341589714325*^9, 3.796572308149498*^9, {3.796600400112754*^9, 3.796600427685241*^9}, 3.7966004675399313`*^9, 3.796602164467147*^9, 3.796677633182287*^9, 3.7966799642000885`*^9}, CellLabel-> "During evaluation of \ In[36]:=",ExpressionUUID->"3f03fad1-8b02-4619-98dd-dfcf59c41fff"], Cell[BoxData[ RowBox[{"{", RowBox[{ "132378.40155608758257221510832418632976931752`15.954589770191005", ",", RowBox[{"{", RowBox[{ RowBox[{"A", "\[Rule]", RowBox[{"-", "0.000017161060460727896`"}]}], ",", RowBox[{"B", "\[Rule]", "0.1471145876902284`"}], ",", RowBox[{"CC", "\[Rule]", "7.778199563062605`"}], ",", RowBox[{"KK", "\[Rule]", "8625.712445503867`"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{ 3.7955642557383504`*^9, 3.795564668345025*^9, 3.7956597448482275`*^9, 3.7957384738725233`*^9, 3.795821597127901*^9, 3.795910290731984*^9, 3.7960819456809387`*^9, 3.796160897646159*^9, 3.7962099857912593`*^9, 3.7963415897193213`*^9, 3.796572308530382*^9, {3.7966004004946375`*^9, 3.7966004277132316`*^9}, 3.7966004675519276`*^9, 3.796602164479143*^9, 3.796677633204281*^9, 3.7966799642140856`*^9}, CellLabel->"Out[36]=",ExpressionUUID->"d8afb5c4-ff7c-41ba-b53d-4c4c147854ff"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"K3", " ", "=", " ", RowBox[{"KK", "/.", RowBox[{"solABKK0", "[", RowBox[{"[", "2", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.7955646412324643`*^9, 3.7955646580609226`*^9}}, CellLabel->"In[37]:=",ExpressionUUID->"b8e440ed-8f29-4e78-91ff-076837aa593c"], Cell[BoxData["8625.712445503867`"], "Output", CellChangeTimes->{ 3.795564668481984*^9, 3.795659745022173*^9, 3.7957384738915186`*^9, 3.795821597200881*^9, 3.795910290788965*^9, 3.7960819457509165`*^9, 3.796160897719138*^9, 3.796209985869383*^9, 3.7963415897543116`*^9, 3.7965723085923634`*^9, {3.7966004006335936`*^9, 3.796600427806203*^9}, 3.796600467566922*^9, 3.7966021644951363`*^9, 3.7966776332182765`*^9, 3.7966799642690687`*^9}, CellLabel->"Out[37]=",ExpressionUUID->"60f3e944-9e05-416c-847a-2ef18031c0d9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SSE3Continuous", "=", RowBox[{ RowBox[{"SSE", "[", RowBox[{"A", ",", "B", ",", "CC", ",", "KK"}], "]"}], "/.", RowBox[{"solABKK0", "[", RowBox[{"[", "2", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.7953433972122655`*^9, 3.7953434049429584`*^9}, 3.7953659997364388`*^9, 3.7953661211954*^9, {3.795366271198285*^9, 3.795366319218824*^9}}, CellLabel->"In[38]:=",ExpressionUUID->"8a97a96b-79fb-4610-b7b6-b24866862391"], Cell[BoxData["132378.40155608754`"], "Output", CellChangeTimes->{ 3.7953439399254856`*^9, 3.7953660072421565`*^9, 3.79536610110695*^9, 3.7953661317303677`*^9, {3.7953662971044793`*^9, 3.7953663199266076`*^9}, 3.795366864300406*^9, 3.7953670921736383`*^9, 3.7953671692241135`*^9, 3.7953674620219173`*^9, 3.795368499941826*^9, 3.7953686439768047`*^9, 3.7953700346490245`*^9, 3.7953700647696085`*^9, {3.795398936606881*^9, 3.7953989872077007`*^9}, {3.795399278322307*^9, 3.7953992948167067`*^9}, 3.7955642685741124`*^9, 3.795564668551963*^9, 3.79565974509315*^9, 3.795738473912511*^9, 3.7958215972818556`*^9, 3.7959102908549447`*^9, 3.796081945825895*^9, 3.796160897801113*^9, 3.796209986041256*^9, 3.796341589773305*^9, 3.7965723086723385`*^9, {3.7966004007105703`*^9, 3.796600427857187*^9}, 3.79660046766989*^9, 3.796602164515131*^9, 3.796677633245268*^9, 3.7966799644550095`*^9}, CellLabel->"Out[38]=",ExpressionUUID->"c04dc530-fd08-471c-a3a7-f9626fdc6076"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ysol3", "[", "t_", "]"}], " ", "=", " ", RowBox[{ RowBox[{"y", "[", "t", "]"}], "/.", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}], "\[Equal]", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"A", " ", RowBox[{ RowBox[{"y", "[", "t", "]"}], "^", "2"}]}], "+", RowBox[{"B", " ", RowBox[{"y", "[", "t", "]"}]}], " ", "+", " ", "CC"}], ")"}], RowBox[{ RowBox[{"(", RowBox[{"KK", " ", "-", " ", RowBox[{"y", "[", "t", "]"}]}], ")"}], "/", "KK"}]}]}], "/.", RowBox[{"solABKK0", "[", RowBox[{"[", "2", "]"}], "]"}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}], ",", RowBox[{"y", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", " ", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}]}], "]"}], "[", RowBox[{"[", "1", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.7952833520686026`*^9, 3.795283397684911*^9}, { 3.7952834457585154`*^9, 3.7952834466959925`*^9}, {3.79534323080233*^9, 3.795343264224691*^9}, {3.795343295849289*^9, 3.7953432964586773`*^9}, 3.7953663340055237`*^9}, CellLabel->"In[39]:=",ExpressionUUID->"3d0444df-e06e-4290-a677-80e364850064"], Cell[BoxData[ RowBox[{ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquarePlusIconMedium"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVxXswGwYAB+BcdMq0o2mHeS2ZrmgI6k3KLxKJN6FGvSJtLafWmVZ1qVer kVKWFTkUs+piZFJD6OG2KtPzqFq8arOm3j3WnSmmM+ts++O7j3IqJSyRSCAQ 6P/5f9OkH/0mur7x9EgpqNEkrHnFtMslJaJlL5efwse4rab4gbqaXFi07VXc c3uNlkMD5UZvQ+NfRHiTn+zfSXNB0JuCwyu62qBdsThf4AZM6t8Smst1UUU9 PWPX4oOCV7LI0WUS6JaPPuMlBWDCisXT9dIHbYTpR6VxoT8fQu3MewejzrOT /RoROEaoErwhNUHq4FDTfo2TyFxU6IUuvotB2nTyn9Nx4BrsSs2yKaAPL0Qu X+CDt6vWCCCaYy7KpuOmwxmI/Mny9PrDeN3xwskjT4Ay31zxBbsjSNTUefB4 6yy65ZzKlGkLaHyZE1tikoKFIObN2kwrOJ9c6KWNpWJTFn9fRqRiQrM84ZBl Gkx46vfq5daIL1GDtJkO++GM7suONAwS2vfIJ4SIq84qCZq1xUD/4AePvbPQ MzVtTu21Q6bfPv97GVfwqEtsZCi2R2GRudqel4uEkDMKUfQxYDV/VlQpwkff c6d/JjsgwjImzfmZGFuB0dt+Cw54petge5VZAB2JVOl2zxE7r8+VVesVobzh mTYpwwm5A+L1kBkJmtKid5JCnWEbNj8RrlcM5qmX6qcUF1CMOIGqvhIEW1XE ui65YOtoPH9PmhRLtZ+kH+x0hWli47oRvwzrG1HWU9lukO3jX6OzKpAliB1v hzsSG6xWNuwrUVpU/Pahgx6ghapCkuKrQS58shE95YFtb4mN8aUauHoEnaMo 6GB4jpP6P7yN/r7xXNX543BxF2Y/FNViPOViQaWTJw4o223M7txB8rAvdVHL C1rhpJ6BX76CkGidpD/ihX8MEkjGGnXQvkimLHKBFvXTfCHra0iFruKhLiBG qsNYyanH9NkotzoTBlpH+G3zsgY8dzzQ1S1mIHjuC9v1GTmaXozmj6ww0N5Z P1tFbISjA1n1q783/pC8dSnVWIEr4XuX2G3eMNUojGhm38X1hC1OuT4Tbcrn leZRTTjBzv7U4ioTlcoOWYXwW8x+V0p5uMJEXGC12pTTDAtyi2FkAAvXjkxe lvY1wzFWoLZsZ8G+K/DzOt8W/C16f23VwAeMId5L0oMW3BBnqjZzffBx/f0w 9+OtmDLkW2n95oO47GLFoLIVM+VBKt1gNuYEbE2JmRJ3fx9jRXawUXP0lqGl RAlnx4S9pcYcbOzQ6XnrSqz6c7d3czhYtOYrTp9ow79Dja0U "]]}, Annotation[#, "Charting`Private`Tag$3292#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 47.}, {0., 5204.389349053821}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "47.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquareMinusIconMedium"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVxXswGwYAB+BcdMq0o2mHeS2ZrmgI6k3KLxKJN6FGvSJtLafWmVZ1qVer kVKWFTkUs+piZFJD6OG2KtPzqFq8arOm3j3WnSmmM+ts++O7j3IqJSyRSCAQ 6P/5f9OkH/0mur7x9EgpqNEkrHnFtMslJaJlL5efwse4rab4gbqaXFi07VXc c3uNlkMD5UZvQ+NfRHiTn+zfSXNB0JuCwyu62qBdsThf4AZM6t8Smst1UUU9 PWPX4oOCV7LI0WUS6JaPPuMlBWDCisXT9dIHbYTpR6VxoT8fQu3MewejzrOT /RoROEaoErwhNUHq4FDTfo2TyFxU6IUuvotB2nTyn9Nx4BrsSs2yKaAPL0Qu X+CDt6vWCCCaYy7KpuOmwxmI/Mny9PrDeN3xwskjT4Ay31zxBbsjSNTUefB4 6yy65ZzKlGkLaHyZE1tikoKFIObN2kwrOJ9c6KWNpWJTFn9fRqRiQrM84ZBl Gkx46vfq5daIL1GDtJkO++GM7suONAwS2vfIJ4SIq84qCZq1xUD/4AePvbPQ MzVtTu21Q6bfPv97GVfwqEtsZCi2R2GRudqel4uEkDMKUfQxYDV/VlQpwkff c6d/JjsgwjImzfmZGFuB0dt+Cw54petge5VZAB2JVOl2zxE7r8+VVesVobzh mTYpwwm5A+L1kBkJmtKid5JCnWEbNj8RrlcM5qmX6qcUF1CMOIGqvhIEW1XE ui65YOtoPH9PmhRLtZ+kH+x0hWli47oRvwzrG1HWU9lukO3jX6OzKpAliB1v hzsSG6xWNuwrUVpU/Pahgx6ghapCkuKrQS58shE95YFtb4mN8aUauHoEnaMo 6GB4jpP6P7yN/r7xXNX543BxF2Y/FNViPOViQaWTJw4o223M7txB8rAvdVHL C1rhpJ6BX76CkGidpD/ihX8MEkjGGnXQvkimLHKBFvXTfCHra0iFruKhLiBG qsNYyanH9NkotzoTBlpH+G3zsgY8dzzQ1S1mIHjuC9v1GTmaXozmj6ww0N5Z P1tFbISjA1n1q783/pC8dSnVWIEr4XuX2G3eMNUojGhm38X1hC1OuT4Tbcrn leZRTTjBzv7U4ioTlcoOWYXwW8x+V0p5uMJEXGC12pTTDAtyi2FkAAvXjkxe lvY1wzFWoLZsZ8G+K/DzOt8W/C16f23VwAeMId5L0oMW3BBnqjZzffBx/f0w 9+OtmDLkW2n95oO47GLFoLIVM+VBKt1gNuYEbE2JmRJ3fx9jRXawUXP0lqGl RAlnx4S9pcYcbOzQ6XnrSqz6c7d3czhYtOYrTp9ow79Dja0U "]]}, Annotation[#, "Charting`Private`Tag$3292#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 47.}, {0., 5204.389349053821}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "47.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{0., 47.}}, { 5, 7, 1, {89}, {4}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwB2QIm/SFib1JlAgAAAAEAAABZAAAAAAAAAAAAAACmSmDGQir7PqZKYMZC Kgs/GA8hHnr3gD/y3r385OmQP1k2a+oMWJk/Hn42IH9omT/jxQFW8XiZP6kN zYtjiZk/blWYwdWZmT8znWP3R6qZP74s+mIsy5k/SLyQzhDsmT/TSyc69Qya PzvnCG7hVZs/pILqoc2enD8NHszVueedP3W5rQmmMJ8/xuU+CPAEpj/S7qYL jXGsP+97hwcVb7E/dIA7iWOltD/6hO8Kstu3PxrZ+41h/cs/3Pc/C3UG1j8q A4JPOQ7ePzwH4sn+CuM/5AwD7OAO5z+LEiQOwxLrP7qmWnLIrvU/MESjXS/U /T/S8HUky/wCQI0/Gpp+DwdAR46+DzIiC0AC3WKF5TQPQN6Vg33MoxFASknE OmeHFUCoFWUVXFcYQAfiBfBQJxtAiAwZIk15HUAINyxUScsfQMWwH8OiDiFA BUYp3KA3IkBG2zL1nmAjQIZwPA6diSRAxgVGJ5uyJUAHm09AmdsmQEcwWVmX BChAiMVicpUtKUDIWmyLk1YqQAnwdaSRfytASYV/vY+oLECJGonWjdEtQMqv ku+L+i5AY1lXMLkxMEDgWuVoLOYwQF5cc6GfmjFA3F0B2hJPMkBaX48ShgMz QNdgHUv5tzNAVWKrg2xsNEDTYzm83yA1QFBlx/RS1TVAzmZVLcaJNkBXmAG/ /1o3QOHJrVA5LDhAavtZ4nL9OEDzLAZ0rM45QHxesgXmnzpABpBelx9xO0CP wQopWUI8QBjztrqSEz1AKsVfTIYZPkA8lwjeeR8/QKe02Le2EkBAsB2tgLCV QEC5hoFJqhhBQMLvVRKkm0FAzFgq250eQkDVwf6jl6FCQN4q02yRJENAeW3l GJ64Q0AVsPfEqkxEQLHyCXG34ERATDUcHcR0RUDody7J0AhGQIS6QHXdnEZA Ql2gum4OR0AAAAAAAIBHQGHVNR8= "], {Developer`PackedArrayForm, {0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178}, CompressedData[" 1:eJw1x2s0lAkABmCOWIWEY9CqmYmddRkhhVh9LwaV3CMllxFGVIgyuW0Yl4po mVrkkE7pEFuTJJISihXFYpWGlFtS8qEQ7fzZ599D9w9zDRQXExMTiP1vmhjL t92SLaCC/zyI1Se6sLtG/k/RFSUlzlSKTxMPSOZUkejyg0TwOrkvxMfc1KcB D6hoSm6tbFKdIZYvil1gtlCxUOl74m9NkpALDd/9tZOK9dQDpb0MkqAkZnHW vKBicPz8q7daJOFefZ+3QXQxuZW1UzokUaT++YqB6MYZpaxvTJKYv6PfYC36 ds65WAl9kgiIix3wEN2q9+mkmhFJpGtqq8SLvrV2ys/AhCSYFyRcr4r+QnX5 la05SSQ3rslsFV1tsalCK4AkVNS/vLfroiKJ3x8qm0kSQrq7Y0s3FdV7XJRn 7pLEvVyTVlYPFS75VmX9QpIINc5zf9JLRZyqBsOJO0eMbj2UWzNCBdV22wpP 8Sshsah+s2qWiuR1aWdjK74RdmXCztfiNHwx3aNhtGuR6FDZeN9vNQ2lD4W0 myNLhLT9LqWJdTSUj+bwqBQpmNVt01w6SEPf9dHST75rcdCruCm0jIZCWkdU TLASBr4Hj2GBhkuEvzdZpQJ2cgv/9C46Sg52ttcrq2PxB/ezQQEdtNsWaQU2 NJy/uaDj+YmOjUojq7gN2hitpjvbO2lAf3lt5YsFQ1wr1hvitmmiXc+LIKNN 0N/LCK9kM/CAfZxMZlvgyLcYh26KFswoOkaGg5aIHRFOjU9qo+NY7aYYexsM O//Ql3mniw89XEnK4k7M0YP8w1f00N/W+JwMdMbq/v7yV6aGcF+dX9+Q6wYf RnpfuKQR2rU7fdiq+1B7fOpJ7cpWeBpam+9gHUDM/Yvu7U+MUd3jOuJc5Q2b CX5kR7kpzE25/4xX+2EmdFpmsMYM0tY75jTq/FFccNJl09RveNDD8myeCIAM 87VH/W4C3bzDvw7ZcND/5mrz2ARAedLFq+w6jHi2avI2Gyuo9o1bZuccwXP2 pyabGmv4Nn4cls4IQ2tqhbIUywbln7tDhL4RuLuprs1hwhbPGvOHjNUi0aXc frzvxk4UKZV8WCSjYLHy/eL25N3IVWOJ0WdOYubIxGshdw/sHTzjrimfwvcZ 17zlM47IOrk+MdUvFj/OdfDsvJxxNMVsOYWdAAPhiuGtBhfEM4X9qS9PQ+aK z6ZMEzdMz4YkmucmoZYW0Tb2eC9CnRwQGcMD5b1UiLe3BzKVr0pfTknFfMbj KIq0JyLX6w3NVqeD0faw+VHDfriI2ZBJ8uewef3bfZmJXhixCiuRys4EMyzN a8tubzzSvRzLVc9Gvuab/TPKvni94dkSM+UCvKOnju4N90OburpFBnKwlXX5 dulJNqSiORW+FD6qE069uHTCH5bjMV1VkpfAWTLK9zl8CGs/Ft02lsuDbf4v CnAMwOzYUK2BbgFeMngmf9EC4fZWNprvXQhBzkT48TeBqDzQ9Uy6pAgDmwXN TYlBYN08VTq/WIxUe+3YCBkOzige86zllsBSof3lZBYH139P4icuX0X9uOz3 slEOLk6XefmkXsM8r0ayXT4Ypws9D0esK0UUw8X0q2wwbIdzasXzbiCi5WCU 5lsOriT8m5+1oQz0xmYHx2wOUoJ7koYLyuFUFyq3kcpBX1tzoYJiBX6WvCvI +yMIOiFZLmkJldC67jj26nMgBlr9ewqkbiGvrHTnXo1A8PMmFaxbbiFCzjrL zS4A6W4es83xt/EwUuKnGvYhmLlFpL5jCqB0VxCXFu2P4JDTlindAnzbqNs1 nsHGgclgjXsRdzBXqFmud80Pq6YDEsNH7mCNxUyD+Cdf8FSbBYf2VsHU6Ow7 YZ4P/gPXwZqu "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False], "[", "t", "]"}]], "Output", CellChangeTimes->{ 3.7953432648419414`*^9, 3.795343297318012*^9, 3.795343482268424*^9, 3.7953439456289315`*^9, 3.795366007326131*^9, 3.795366101170937*^9, 3.7953661317883496`*^9, 3.795366336043355*^9, 3.7953668643503895`*^9, 3.7953670922716084`*^9, 3.7953671726313477`*^9, 3.7953674621218863`*^9, 3.7953685000158043`*^9, 3.795368644058778*^9, 3.7953700347389975`*^9, 3.795370066856701*^9, {3.7953989366898556`*^9, 3.795398987296672*^9}, 3.79539929509795*^9, 3.795564338228754*^9, 3.7955646687499013`*^9, 3.795659745177126*^9, 3.795738474008484*^9, 3.795821597375827*^9, 3.7959102909329224`*^9, 3.7960819459148684`*^9, 3.7961608978980823`*^9, 3.796209986135002*^9, 3.7963415898382864`*^9, 3.796572308757311*^9, { 3.796600400805541*^9, 3.796600427964153*^9}, 3.7966004677648606`*^9, 3.7966021645781126`*^9, 3.7966776333292437`*^9, 3.7966799645369854`*^9}, CellLabel->"Out[39]=",ExpressionUUID->"5fa0e8a5-8902-40cc-b23c-6c4be633eddf"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"yopt3Plot", " ", "=", " ", RowBox[{"Plot", "[", RowBox[{ RowBox[{"ysol3", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "1"}], "]"}], "]"}], "+", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{ RowBox[{"Length", "[", "data", "]"}], ",", "2"}], "]"}], "]"}], "*", "1.1"}]}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.795220614472849*^9, 3.7952206531495123`*^9}, { 3.795221087352188*^9, 3.795221095310442*^9}, {3.7953433162900705`*^9, 3.7953433181650295`*^9}}, CellLabel->"In[40]:=",ExpressionUUID->"66caf645-9a56-4edc-904f-062628de23ea"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVj3k4lAkAh2cTtq0cq9CUHJWzxBgi8f1oms/jWsk6HpWayjSbI8m6Fjkm RRgqIUcH49ZovjY6VNieRqFIOZYOiZ6Wqc1RiLV//J73v/d9ftqcYPdDi2g0 msvC/ienQjevXE1ku3zP7q/ytE9EUJZwI+1kGmH4Kt+U+/wz0WlAa7vHLyDO 7HrGair/QpycqCos4lcTI3vl5kK9pgg/X5nkDP5d4vfsioSHDXOEc7pxdDK/ lVA90t7WMSCHRj1WWCK/n2idSp38QUsFMeOux+L5owQ7kx7YJNSG1cx4vE/T HGEsk6TYf54Bl3Apd1uvHLqm9ddEK9vAWH5tA7lJAVl6Kx71cFkoCg1qK1JU QXWs70jtDSeAttLvbrMqTos577SbdmKakmHulNBx56twdWeBJ1qZGa91bq9F qLUh00l9N/JHTNRSmdpoI32GUib3YcDR9jVhtg7mp0r+EGQeRIC1NFJWaQNa AgxcVnAPIzkzaJ43qAuex5PpbmEAamaUS08P6CNi5W9ZEulRaI97a966aQjP DFFygygUl2jN9SV1G2FkvPWndoVwVB77TpiIjEGTTK2XSKKQYBX4eMjeBHWD OgLZmliIm0blM+1MkaV0wvR4bTyWrrxfxdrMAOOG4oPVOkngHS1+22ViBr/b fbFjCslImwtO/3MTEyXZZmGuW1PwclfalaJV5mAm3eQkhqVBT3yH9F9lgWKN dbyNVwQo6LH51fzHLUiPstUaTstCL0PYvevfLeh07+pqyjwHjWyt0V8+WWL6 Y9ziN0PZOHn/H55HvxVyjcqUIxi5mBhvCbcY2Ar9Cxxm2dOLMNwtmOH2WsPB 0UAnK64Q/JTS4ct/bcPLx5aEfuolvG98erC+2QZqF32DrWcvI6jRybHnui3y dIr9i3yv4s54dYlDPoGqmiW6vnXFOKWuLGlxBlJPHB7UMhdiB/146EQj8MF6 T3xgTilktfe9V9huhwg91yPuauXwWRqWVnXLDq8Eg6ckERVQyoiRft5sD4bi rOZQayVa1BTputfsYWCn6sWyrIZakiRiYMN2RL0uCFJPqAF3YtklvnA7ahoa FRz7r4FOYyU8X89CN1lsF3VWhH1jV3NK81ioHlV6O6lXi/I3Z8J59B2Iy+5r kW2qBb+uMOVa5g48HfcdprteR7N+sXeBHBuBrZnT9GfXIVfIkEby2SgVoYj0 EaNv8kN97wwbe0ydBC86xKjSfOv68TsbWg7LAj88FyPWoXdwZp4N29pvb2Ze iKGV17JcYzGJjsGEc5p9YvjbVO73W0YioPKoBmdQjM+JAUverSHx4HbEo84v YsgrS71HbUhsaHfv5a2g0G01PPqdIJGYbtkZrEqhgvMqQcGeRI7Xk0Nh6hSc qfaqzWwS6gYm3nFrKGR5iWjHXEn8XE+Gpq+noFEYUja5l0TIkpq0XCaFsYc8 G/n9JAb8PfRyLSjcl+7vUDtAYsQzxDfHkgLHzn3WkktisbLd2fPbKJS9Y7hF B5P49ne2fSqLQtRyo6HUkIU/DW61yWwKThbrovJDSdSFD91KdFjwJ6sU3w0n MSx4VhjlTOGeaKlVWyQJl0X2kWGuFAQ9Mm0D0SSmA+6NBbst9BbNcqQxJGJ8 POd57hTMjMan5uNIHHRTqTzgQeE/G6U5xQ== "]]}, Annotation[#, "Charting`Private`Tag$3348#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7953433212750125`*^9, 3.795343950556172*^9, 3.7953660074440947`*^9, 3.795366101244914*^9, 3.795366131850332*^9, 3.7953663412183084`*^9, 3.7953668644123726`*^9, 3.795367092400569*^9, 3.795367181068882*^9, 3.795367462225855*^9, 3.7953685001187725`*^9, 3.7953686441627455`*^9, 3.795370034863958*^9, 3.795370068916795*^9, {3.795398936811819*^9, 3.795398987363652*^9}, 3.795399295191697*^9, 3.7955643606552453`*^9, 3.795564668834875*^9, 3.7956597452740955`*^9, 3.795738474105454*^9, 3.795821597496788*^9, 3.795910291028892*^9, 3.796081946024834*^9, 3.7961608980210447`*^9, 3.7962099862443776`*^9, 3.7963415899042664`*^9, 3.7965723088862715`*^9, {3.7966004009085083`*^9, 3.7966004281660895`*^9}, 3.796600467867829*^9, 3.796602164643093*^9, 3.79667763343421*^9, 3.796679964629955*^9}, CellLabel->"Out[40]=",ExpressionUUID->"0fdd75e9-618f-4bfe-b602-3af191b6af0c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"yopt3Plot", ",", "dataPlot"}], "]"}]], "Input", CellChangeTimes->{{3.795220145317143*^9, 3.795220151595256*^9}, { 3.7952206597096004`*^9, 3.7952206630585136`*^9}, 3.7952210978628488`*^9, 3.7953433359642973`*^9}, CellLabel->"In[41]:=",ExpressionUUID->"39f9a2df-f3fc-4208-89f6-cf614e83ff7c"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj3k4lAkAh2cTtq0cq9CUHJWzxBgi8f1oms/jWsk6HpWayjSbI8m6Fjkm RRgqIUcH49ZovjY6VNieRqFIOZYOiZ6Wqc1RiLV//J73v/d9ftqcYPdDi2g0 msvC/ienQjevXE1ku3zP7q/ytE9EUJZwI+1kGmH4Kt+U+/wz0WlAa7vHLyDO 7HrGair/QpycqCos4lcTI3vl5kK9pgg/X5nkDP5d4vfsioSHDXOEc7pxdDK/ lVA90t7WMSCHRj1WWCK/n2idSp38QUsFMeOux+L5owQ7kx7YJNSG1cx4vE/T HGEsk6TYf54Bl3Apd1uvHLqm9ddEK9vAWH5tA7lJAVl6Kx71cFkoCg1qK1JU QXWs70jtDSeAttLvbrMqTos577SbdmKakmHulNBx56twdWeBJ1qZGa91bq9F qLUh00l9N/JHTNRSmdpoI32GUib3YcDR9jVhtg7mp0r+EGQeRIC1NFJWaQNa AgxcVnAPIzkzaJ43qAuex5PpbmEAamaUS08P6CNi5W9ZEulRaI97a966aQjP DFFygygUl2jN9SV1G2FkvPWndoVwVB77TpiIjEGTTK2XSKKQYBX4eMjeBHWD OgLZmliIm0blM+1MkaV0wvR4bTyWrrxfxdrMAOOG4oPVOkngHS1+22ViBr/b fbFjCslImwtO/3MTEyXZZmGuW1PwclfalaJV5mAm3eQkhqVBT3yH9F9lgWKN dbyNVwQo6LH51fzHLUiPstUaTstCL0PYvevfLeh07+pqyjwHjWyt0V8+WWL6 Y9ziN0PZOHn/H55HvxVyjcqUIxi5mBhvCbcY2Ar9Cxxm2dOLMNwtmOH2WsPB 0UAnK64Q/JTS4ct/bcPLx5aEfuolvG98erC+2QZqF32DrWcvI6jRybHnui3y dIr9i3yv4s54dYlDPoGqmiW6vnXFOKWuLGlxBlJPHB7UMhdiB/146EQj8MF6 T3xgTilktfe9V9huhwg91yPuauXwWRqWVnXLDq8Eg6ckERVQyoiRft5sD4bi rOZQayVa1BTputfsYWCn6sWyrIZakiRiYMN2RL0uCFJPqAF3YtklvnA7ahoa FRz7r4FOYyU8X89CN1lsF3VWhH1jV3NK81ioHlV6O6lXi/I3Z8J59B2Iy+5r kW2qBb+uMOVa5g48HfcdprteR7N+sXeBHBuBrZnT9GfXIVfIkEby2SgVoYj0 EaNv8kN97wwbe0ydBC86xKjSfOv68TsbWg7LAj88FyPWoXdwZp4N29pvb2Ze iKGV17JcYzGJjsGEc5p9YvjbVO73W0YioPKoBmdQjM+JAUverSHx4HbEo84v YsgrS71HbUhsaHfv5a2g0G01PPqdIJGYbtkZrEqhgvMqQcGeRI7Xk0Nh6hSc qfaqzWwS6gYm3nFrKGR5iWjHXEn8XE+Gpq+noFEYUja5l0TIkpq0XCaFsYc8 G/n9JAb8PfRyLSjcl+7vUDtAYsQzxDfHkgLHzn3WkktisbLd2fPbKJS9Y7hF B5P49ne2fSqLQtRyo6HUkIU/DW61yWwKThbrovJDSdSFD91KdFjwJ6sU3w0n MSx4VhjlTOGeaKlVWyQJl0X2kWGuFAQ9Mm0D0SSmA+6NBbst9BbNcqQxJGJ8 POd57hTMjMan5uNIHHRTqTzgQeE/G6U5xQ== "]]}, Annotation[#, "Charting`Private`Tag$3348#1"]& ]}, {}}, {{{}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJxV0j9LAnEAxvEfTQ0NDg4NDVccIRFHmpWV6WVaQxAoNLVUEORikTW5nEPQ IHGIEESQIiEVkf9eQC+gtffg0NBLqHi+yx0cH7483PHjuOnjs8LJmDHG+bv/ 1fWTDmpcYeE4zmMI1zGMGZyUXo6eoneD73Xz9Az7Pm2zH9Cz0jqiI1jEOdks Bc/pl2mHvqIXZLdCR+V5lY7J0DW9yPM3dFxGavSSHN3Sy/LTp1fkZZ1OyEaD XpUTd/SatO9pvrP9QCc53yO9IU+bdErWW3RafrRpV3pPSCc77Jsy+8xO+y/s GWm9stPftNmSe2/s9OE7e1ZedNnpHm34b8o9djrWZ9+WX7RHewP2HekM3V81 3VBC "]]}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6], PointBox[{{25., 1475.}, {25., 1475.}}]}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7953433362924156`*^9, 3.795343953025117*^9, 3.7953660075120735`*^9, 3.7953661012599087`*^9, 3.795366131895318*^9, 3.7953663475983143`*^9, 3.7953668644423637`*^9, 3.795367092466555*^9, 3.795367184470171*^9, 3.795367462305829*^9, 3.7953685001467643`*^9, 3.7953686442337246`*^9, 3.795370034944933*^9, 3.7953700762646947`*^9, {3.795398936886797*^9, 3.7953989874136353`*^9}, 3.7953992953010716`*^9, 3.795564367212779*^9, 3.795564668864866*^9, 3.795659745305086*^9, 3.7957384741374426`*^9, 3.7958215975307775`*^9, 3.7959102910538845`*^9, 3.7960819460498247`*^9, 3.7961608980430374`*^9, 3.7962099863224974`*^9, 3.7963415899312572`*^9, 3.7965723089652476`*^9, {3.796600400939499*^9, 3.796600428250064*^9}, 3.796600467891822*^9, 3.796602164667083*^9, 3.796677633460203*^9, 3.7966799646599483`*^9}, CellLabel->"Out[41]=",ExpressionUUID->"728d2696-58f0-4c9f-be22-4660f860ad42"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Residual3Continuous", " ", "=", " ", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], "-", " ", RowBox[{"ysol3", "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}], ",", RowBox[{"PlotStyle", "\[Rule]", "Blue"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.794103994770723*^9, 3.794104072448557*^9}, { 3.7941043493978257`*^9, 3.7941043930003147`*^9}, {3.794104453521432*^9, 3.79410446002223*^9}, 3.794104546081687*^9, {3.7941398141170588`*^9, 3.794139831776888*^9}, {3.795366494685523*^9, 3.7953665313058434`*^9}}, CellLabel->"In[42]:=",ExpressionUUID->"b511c778-8d0a-42fb-bda6-103e60080445"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7G215D4GCCgegAo4NGm0bmE9qwblczgcEp6s tumcAZQv4DDjhdnxyt8wvoiD3AqH9VX65lC+hAOPONsM9tsOUL6MQ59366VX H12gfAUHqaAs1WPdnlC+ksMV88ZrtrF+UL6KwzKpDz9NBAKhfDWHa6e2qeWc CoLyNRzetN0rj/wP06/lkPDT8UOXpheUr+PAYKwfz/XQEcrXc1DYet3D9hvM fAOHBPuSRa6ltlC+oYPDh07hZlYNBwjfyIFBhlvD7qMblG/scGPvH+79ywOg fBMHhkv7lq80CIHyTR0SZL3Wz/jlA+WbOTgoCbaqMZtD+UD6yVsG72sMUPss HBjcFwt7PJeB8i2B6u7E7/020x7Ct3JI2HvN/racM1S/tQNDRq/Dw8I/+yF8 G4cGuZwr714pQ+VtHRr+rdllvtkXap6dw4EHFordqhFQvj1Q3ZQfezlkoXwH hwaTbZJLPltA9Dc4ODgs/JzPaeQNNc/RYUGvzq+vU+Og8kC+Q/mCzfURUHkn B4bd1lErphlCzGtwcjgQs7bz1z2Yfc4ODwQbM9urIqHyQH/YCGoXN6hB5V0c GHpqN/n+0Yaa7+Jw4HPJT97SUKi8KzD++nwabT2g+oF8FQcz8yB5qDwwXr5F HpMOUYPqB/KrawrjbGDx5e5w4Hjo4v/7Qx0AUpfCdA== "]]}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Residual\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImageMargins->0., ImageSize->Automatic, ImageSizeRaw->Automatic, Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 46.}, {-101.9145149002502, 122.34313825941945`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.795366521113535*^9, 3.795366532587768*^9}, 3.7953668644893465`*^9, 3.7953670925568604`*^9, 3.7953671905612693`*^9, 3.795367462419794*^9, 3.7953685001867514`*^9, 3.7953686443136992`*^9, 3.795370035057897*^9, 3.7953700780318007`*^9, {3.7953989369717703`*^9, 3.795398987482616*^9}, 3.7953992954885683`*^9, 3.7955643735574226`*^9, 3.795564668913851*^9, 3.795659745352071*^9, 3.795738474251408*^9, 3.7958215975787635`*^9, 3.795910291095871*^9, 3.796081946091813*^9, 3.7961608980800247`*^9, 3.7962099864631224`*^9, 3.796341589964246*^9, 3.7965723090022345`*^9, {3.7966004009904833`*^9, 3.7966004283420367`*^9}, 3.796600467997789*^9, 3.7966021647260666`*^9, 3.7966776335011897`*^9, 3.796679964708931*^9}, CellLabel->"Out[42]=",ExpressionUUID->"5afa77bd-db55-4e92-85e2-b931a35de696"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["\<\ CONTINUOUS VERSION We now conduct an AIC test on this - Small AIC is better model, even if \ negative.\ \>", "Subsubsection", CellChangeTimes->{{3.6077286987818813`*^9, 3.607728704351091*^9}, 3.607728961002742*^9, {3.60772932423378*^9, 3.6077293324705944`*^9}, { 3.6077298030463467`*^9, 3.6077298071073523`*^9}, {3.620215714491085*^9, 3.6202157205220933`*^9}, {3.6202171969368906`*^9, 3.6202171976068916`*^9}, {3.7952216066390543`*^9, 3.795221612607313*^9}},ExpressionUUID->"3aaa3b63-3272-4196-ad1c-\ e7483d57e846"], Cell[TextData[{ "We will offer a way of determining which model is best. It is called the \ Akaike Information Criterion (AIC). A readable reference to AIC can be found \ in Ledder, G. 2013.", StyleBox[" Mathematics for the Life Sciences", FontSlant->"Italic"], ". New York: Springer starting on page 138.\n\nThe Akaike Information \ Criterion, where k is number of parameters to fit, n is the number of \ observations, and RSS is the minimum residual sum of square errors (or just \ sum of square errors) is\n\n ", Cell[BoxData[ RowBox[{"AIC", " ", "=", " ", RowBox[{ RowBox[{"2", " ", RowBox[{"(", RowBox[{"1", "+", "k"}], ")"}]}], "+", RowBox[{"n", " ", RowBox[{"Log", "[", " "}]}]}]}]],ExpressionUUID-> "26ce2c6a-af12-4c28-b877-793d9a8b94d1"], "\n\nNB: when SSE is small then the Log function cold be negative. \n\n\ Smaller (even negative) values of AIC represent a higher level of statistical \ support for the corresponding model. A difference of 2 in the AIC\ \[CloseCurlyQuote]s is needed to suggest a significant difference. \n\nThe \ smallest AIC means best model - in terms of balancing ACCURACY (RSS) and \ COMPLEXITY (k). \n\nSo after we complete all our model analyses (1) - (2) we \ will see if one of the models is best. \n\nWe offer the parameters for and \ sum of square errors for the best parameters in Models (1), (2), and (#) \ above." }], "Text", CellChangeTimes->{{3.607730838333929*^9, 3.6077308505487504`*^9}, { 3.607730905991248*^9, 3.6077309229328775`*^9}, {3.6077922027881994`*^9, 3.6077922147846203`*^9}, {3.6202100694034214`*^9, 3.620210090822259*^9}, { 3.620215762267152*^9, 3.620215794060197*^9}, {3.6202159322863913`*^9, 3.6202159360373964`*^9}, {3.6202159781024556`*^9, 3.6202160014054885`*^9}, {3.6202160351185355`*^9, 3.620216042749546*^9}, 3.620225228569095*^9, {3.6204986076792283`*^9, 3.6204986084992294`*^9}, { 3.6204986411032753`*^9, 3.6204986615553045`*^9}, {3.6204987568674383`*^9, 3.6204987644874487`*^9}, 3.620508818963441*^9, {3.79403956436384*^9, 3.7940395976516*^9}, {3.7940404359816017`*^9, 3.794040448082761*^9}, 3.794041760302799*^9, {3.7940478256012344`*^9, 3.794047825929347*^9}, { 3.7940503744311795`*^9, 3.794050375631054*^9}, {3.7957407828886175`*^9, 3.7957407961159124`*^9}, {3.796596197648432*^9, 3.7965961993269143`*^9}},ExpressionUUID->"ff0fd17d-e8ce-4dd4-82ff-\ 8521f4f382de"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SSE1Continuous", " "}]], "Input", CellChangeTimes->{{3.620498513837096*^9, 3.620498522948109*^9}, { 3.794039617247455*^9, 3.794039618716422*^9}, 3.7940402449241953`*^9, { 3.79535200758315*^9, 3.795352018577648*^9}, 3.79536607557563*^9}, CellLabel->"In[43]:=",ExpressionUUID->"612f7f7e-1886-4c3c-abc2-e749a550fd2d"], Cell[BoxData["5.516908624257244`*^6"], "Output", CellChangeTimes->{{3.7953661040241747`*^9, 3.7953661319353056`*^9}, 3.7953668645263357`*^9, 3.795367202443296*^9, 3.7953674625117674`*^9, 3.7953685002107425`*^9, 3.7953686443846774`*^9, 3.795370086447749*^9, 3.795398997376876*^9, 3.7955643835259795`*^9, 3.795659763209575*^9, 3.7957384743793683`*^9, 3.795821597609754*^9, 3.795910291117865*^9, 3.796081946114806*^9, 3.796160898097021*^9, 3.7962099865256205`*^9, 3.796341589977242*^9, 3.796572309022229*^9, {3.7966004010184736`*^9, 3.7966004283740273`*^9}, 3.796600468021783*^9, 3.7966021647490587`*^9, 3.7966776335221825`*^9, 3.796679964737923*^9}, CellLabel->"Out[43]=",ExpressionUUID->"dab8ae9d-b82e-4af0-b2d9-0225943a87f3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SSE2Continuous", " "}]], "Input", CellChangeTimes->{{3.620498513837096*^9, 3.620498532509123*^9}, { 3.794039628951832*^9, 3.7940396292486973`*^9}, 3.794040247546769*^9, { 3.795352023640368*^9, 3.7953520271665444`*^9}, 3.795366077612851*^9}, CellLabel->"In[44]:=",ExpressionUUID->"c69507cc-814d-44eb-bf31-24cb10bd37a3"], Cell[BoxData["186541.84979426663`"], "Output", CellChangeTimes->{{3.795366104107148*^9, 3.7953661319872885`*^9}, 3.795366864568325*^9, 3.795367202529271*^9, 3.795367462654727*^9, 3.7953685002807245`*^9, 3.795368644450659*^9, 3.795370086524724*^9, 3.7953989974698467`*^9, 3.795564383647942*^9, 3.79565976331954*^9, 3.7957384744093595`*^9, 3.7958215977267175`*^9, 3.795910291174975*^9, 3.7960819461867833`*^9, 3.7961608981749983`*^9, 3.7962099865881205`*^9, 3.796341589990238*^9, 3.7965723090962067`*^9, {3.7966004010984497`*^9, 3.7966004284570007`*^9}, 3.7966004680407763`*^9, 3.7966021647700515`*^9, 3.7966776335871625`*^9, 3.7966799647969055`*^9}, CellLabel->"Out[44]=",ExpressionUUID->"a52fdfed-2e3a-459a-9e7d-633f45a94c98"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SSE3Continuous", " "}]], "Input", CellChangeTimes->{{3.7940919814089937`*^9, 3.794091982206002*^9}, { 3.7953520283991632`*^9, 3.795352033164649*^9}, 3.795366079111389*^9}, CellLabel->"In[45]:=",ExpressionUUID->"eef6f53d-71f8-47e2-94ae-f544c72d50dd"], Cell[BoxData["132378.40155608754`"], "Output", CellChangeTimes->{{3.795366104198119*^9, 3.795366132041273*^9}, 3.79536686460931*^9, 3.79536720259625*^9, 3.7953674627337008`*^9, 3.7953685003437014`*^9, 3.7953686445096407`*^9, 3.795370086591704*^9, 3.795398997543824*^9, 3.795564383728916*^9, 3.7956597633995156`*^9, 3.7957384744353514`*^9, 3.795821597806692*^9, 3.795910291240955*^9, 3.796081946262761*^9, 3.796160898289961*^9, 3.796209986650616*^9, 3.7963415900042343`*^9, 3.796572309162186*^9, {3.796600401181423*^9, 3.7966004285649667`*^9}, 3.7966004680577717`*^9, 3.796602164791046*^9, 3.796677633653144*^9, 3.7966799648648844`*^9}, CellLabel->"Out[45]=",ExpressionUUID->"5cafcc66-e329-42d6-95d4-2a8b46ce4261"] }, Open ]], Cell["\<\ So Model (3) would appear to give best fit in terms of smallest sum of \ square errors, but let us apply AIC to see if one model is significantly \ better than all the others.\ \>", "Text", CellChangeTimes->{{3.607725231087615*^9, 3.6077252413524327`*^9}, { 3.6077252771700954`*^9, 3.6077253055777454`*^9}, 3.6077300267259035`*^9, 3.6201441026313314`*^9, {3.6202176098054714`*^9, 3.620217654120534*^9}, 3.6202252321191*^9, {3.620508846372689*^9, 3.620508848213492*^9}, { 3.794040844101539*^9, 3.794040851017789*^9}, 3.7945378532207727`*^9},ExpressionUUID->"b54595dc-78e9-414e-b2ac-\ 148effecc9f3"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"m", " ", "=", " ", RowBox[{"Length", "[", "data", "]"}], " ", RowBox[{"(*", RowBox[{ RowBox[{"**", " ", "Number"}], " ", "of", " ", "data", " ", RowBox[{"points", "."}]}], " ", "***)"}]}]], "Input", CellChangeTimes->{{3.607729205564371*^9, 3.6077292061727724`*^9}, { 3.62021766604255*^9, 3.620217673713561*^9}, {3.620498446089001*^9, 3.6204984613110223`*^9}}, CellLabel->"In[46]:=",ExpressionUUID->"5bf7c002-9294-4571-8872-eadecec2b2fa"], Cell[BoxData["46"], "Output", CellChangeTimes->{ 3.620254291529958*^9, 3.6203979980457163`*^9, 3.6205077087250905`*^9, 3.7940396845813646`*^9, 3.7940504320699797`*^9, 3.794092226154793*^9, 3.794139878306157*^9, 3.7952216259163074`*^9, 3.7953440127533116`*^9, 3.795366038239114*^9, 3.795366146878049*^9, 3.795366864648299*^9, 3.795367202664231*^9, 3.795367462808685*^9, 3.795368500404683*^9, 3.7953686445776196`*^9, 3.7953700866626825`*^9, 3.795398997614803*^9, 3.7955643838098917`*^9, 3.79565976348449*^9, 3.7957384744603434`*^9, 3.795821597895666*^9, 3.795910291312974*^9, 3.7960819463937187`*^9, 3.796160898371936*^9, 3.7962099867287416`*^9, 3.79634159001823*^9, 3.796572309231165*^9, {3.796600401287391*^9, 3.796600428637944*^9}, 3.7966004680727654`*^9, 3.79660216481104*^9, 3.7966776337751064`*^9, 3.7966799649308643`*^9}, CellLabel->"Out[46]=",ExpressionUUID->"50317c96-5c7e-40d8-ae2a-070eccf040c1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"AIC", "[", RowBox[{"n_", ",", "RSS_", ",", "k_"}], "]"}], " ", "=", " ", RowBox[{ RowBox[{"n", " ", RowBox[{"Log", "[", RowBox[{"RSS", "/", "n"}], "]"}]}], " ", "+", " ", RowBox[{"2", " ", RowBox[{"(", RowBox[{"k", "+", "1"}], ")"}]}]}]}], " ", RowBox[{"(*", RowBox[{ RowBox[{ RowBox[{"**", " ", "n"}], " ", "data", " ", "points"}], ",", " ", RowBox[{"RSS", " ", "=", " ", "SSE"}], ",", " ", RowBox[{ RowBox[{"and", " ", "k"}], " ", "=", " ", RowBox[{"number", " ", "of", " ", RowBox[{"parameters", "."}]}]}]}], " ", "***)"}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.607728963826347*^9, 3.607729015821238*^9}, { 3.6077290632609215`*^9, 3.607729064056523*^9}, 3.6077293729838657`*^9, { 3.6077294700316358`*^9, 3.607729473650842*^9}, 3.6202176813035717`*^9}, CellLabel->"In[47]:=",ExpressionUUID->"c19b15eb-1873-4b82-a46e-2b9f706a78ec"], Cell[BoxData[ RowBox[{ RowBox[{"2", " ", RowBox[{"(", RowBox[{"1", "+", "k"}], ")"}]}], "+", RowBox[{"n", " ", RowBox[{"Log", "[", FractionBox["RSS", "n"], "]"}]}]}]], "Output", CellChangeTimes->{ 3.7953672264887314`*^9, 3.795367462892665*^9, 3.795368500474663*^9, 3.795368644710578*^9, 3.7953700867266626`*^9, 3.795398997686778*^9, 3.7955643838938675`*^9, 3.7956597635684643`*^9, 3.795738474482343*^9, 3.795821597979639*^9, 3.7959102914181085`*^9, 3.7960819464686956`*^9, 3.796160898452911*^9, 3.7962099867912383`*^9, 3.796341590035226*^9, 3.796572309302143*^9, {3.796600401372365*^9, 3.796600428722918*^9}, 3.796600468089761*^9, 3.7966021648350315`*^9, 3.7966776338480825`*^9, 3.79667996500384*^9}, CellLabel->"Out[47]=",ExpressionUUID->"b0394ad0-c2f3-40b2-bb69-c8691804d3f1"] }, Open ]], Cell["\<\ We now compute the AIC for Models (1) , (2), and (3) as AIC1, AIC2, and \ AIC3 respectively.\ \>", "Text", CellChangeTimes->{{3.620217697615595*^9, 3.6202177318470445`*^9}, { 3.7940396948951597`*^9, 3.7940397073503003`*^9}, 3.794039856250839*^9, { 3.7953516593114147`*^9, 3.795351678928192*^9}},ExpressionUUID->"f74c70c8-6b51-40c9-b91d-\ 679fce9f863c"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"AIC1", " ", "=", " ", RowBox[{ RowBox[{"AIC", "[", RowBox[{"m", ",", "SSE1Continuous", ",", "2"}], "]"}], "//", "Chop"}]}]], "Input", CellChangeTimes->{{3.607729020376446*^9, 3.6077290916529713`*^9}, 3.6077291548642826`*^9, {3.607729209011977*^9, 3.6077292148151875`*^9}, { 3.607729476536847*^9, 3.6077294794228525`*^9}, {3.607819054881394*^9, 3.6078190687034135`*^9}, 3.6078789752919583`*^9, {3.607879875136465*^9, 3.607879901297711*^9}, {3.6078809839870553`*^9, 3.607880995952276*^9}, { 3.607881955842507*^9, 3.6078819572309093`*^9}, 3.6204988294955406`*^9, 3.795366048349905*^9, 3.795367351166856*^9}, CellLabel->"In[48]:=",ExpressionUUID->"2aea099b-960f-4a39-b4b0-56510b84dfca"], Cell[BoxData["543.955594320315`"], "Output", CellChangeTimes->{ 3.620254291561158*^9, 3.620397998092516*^9, 3.620507708803091*^9, 3.6205078183620834`*^9, 3.7940397118508816`*^9, 3.794050432200175*^9, 3.7940922262802615`*^9, 3.7941398784561033`*^9, 3.795221630748706*^9, 3.7953440201449227`*^9, {3.7953660384200583`*^9, 3.7953660607966995`*^9}, 3.7953661471349683`*^9, 3.7953668647692623`*^9, 3.7953672028741646`*^9, 3.7953673517276793`*^9, 3.795367462972638*^9, 3.795368500587628*^9, 3.7953686447735586`*^9, 3.79537008680064*^9, 3.7953989977567587`*^9, 3.795564383972842*^9, 3.795659763654437*^9, 3.7957384745073404`*^9, 3.79582159807061*^9, 3.7959102914810934`*^9, 3.7960819465456734`*^9, 3.7961608985348873`*^9, 3.796209986853739*^9, 3.7963415900502205`*^9, 3.796572309375121*^9, {3.7966004014573374`*^9, 3.7966004288288865`*^9}, 3.796600468109756*^9, 3.7966021648550267`*^9, 3.7966776339260597`*^9, 3.796679965068821*^9}, CellLabel->"Out[48]=",ExpressionUUID->"cd073f78-42ad-403e-ba41-c0554eb2a467"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"AIC2", " ", "=", " ", RowBox[{ RowBox[{"AIC", "[", RowBox[{"m", ",", "SSE2Continuous", ",", "3"}], "]"}], "//", "Chop"}]}]], "Input", CellChangeTimes->{{3.607729020376446*^9, 3.6077290916529713`*^9}, 3.6077291548642826`*^9, {3.607729209011977*^9, 3.607729242895237*^9}, { 3.6077294829952583`*^9, 3.607729485600463*^9}, {3.6078190560023956`*^9, 3.60781908023443*^9}, 3.6078789690987473`*^9, {3.607879880986475*^9, 3.6078799074129214`*^9}, {3.607880985469058*^9, 3.6078810012250853`*^9}, { 3.607881960912516*^9, 3.6078819622229185`*^9}, 3.6204988321355443`*^9, 3.7940920095392942`*^9, 3.7953434413075924`*^9, {3.7953660499385633`*^9, 3.7953660541965523`*^9}}, CellLabel->"In[49]:=",ExpressionUUID->"468a4762-c7ef-49a3-93d7-07ab8efed1dd"], Cell[BoxData["390.1573966358493`"], "Output", CellChangeTimes->{ 3.795366038484039*^9, 3.7953661472149444`*^9, 3.795366864814247*^9, 3.7953672029461412`*^9, 3.7953674630622454`*^9, 3.7953685006544657`*^9, 3.795368644844536*^9, 3.7953700868676195`*^9, 3.795398997825737*^9, 3.7955643840468187`*^9, 3.7956597637404103`*^9, 3.7957384745303335`*^9, 3.795821598152587*^9, 3.795910291542075*^9, 3.7960819466226497`*^9, 3.796160898615861*^9, 3.796209986916236*^9, 3.796341590065216*^9, 3.7965723094410996`*^9, {3.7966004015493116`*^9, 3.7966004289298553`*^9}, 3.796600468130748*^9, 3.796602164877019*^9, 3.796677634001035*^9, 3.7966799651357994`*^9}, CellLabel->"Out[49]=",ExpressionUUID->"b9607db3-3f3d-4eeb-a95f-8b3ff50fed38"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"AIC3", "=", " ", RowBox[{ RowBox[{"AIC", "[", RowBox[{"m", ",", "SSE3Continuous", ",", "4"}], "]"}], "//", "Chop"}]}]], "Input", CellChangeTimes->{{3.607729020376446*^9, 3.6077290916529713`*^9}, 3.6077291548642826`*^9, {3.607729209011977*^9, 3.607729242895237*^9}, { 3.6077294829952583`*^9, 3.607729485600463*^9}, {3.6078190560023956`*^9, 3.60781908023443*^9}, 3.6078789690987473`*^9, {3.607879880986475*^9, 3.6078799074129214`*^9}, {3.607880985469058*^9, 3.6078810012250853`*^9}, { 3.607881960912516*^9, 3.6078819622229185`*^9}, 3.6204988321355443`*^9, { 3.7940920095392942`*^9, 3.7940920196500607`*^9}, 3.795343444104731*^9, { 3.795366055713791*^9, 3.795366058972812*^9}}, CellLabel->"In[50]:=",ExpressionUUID->"eaa3e56c-08ea-47f2-9884-f23246d98f6c"], Cell[BoxData["376.37980559259574`"], "Output", CellChangeTimes->{ 3.794092226389634*^9, 3.79413987860942*^9, 3.795344025708499*^9, 3.7953660386040015`*^9, 3.795366147375895*^9, 3.795366864860233*^9, 3.7953672030171204`*^9, 3.7953674631472187`*^9, 3.795368500731106*^9, 3.7953686449105167`*^9, 3.7953700869375973`*^9, 3.795398997892716*^9, 3.7955643841237946`*^9, 3.7956597638313828`*^9, 3.795738474552326*^9, 3.7958215982355604`*^9, 3.795910291605074*^9, 3.7960819466996264`*^9, 3.7961608986928387`*^9, 3.7962099870412345`*^9, 3.7963415900802107`*^9, 3.79657230950508*^9, {3.796600401647279*^9, 3.796600429021826*^9}, 3.7966004681517415`*^9, 3.7966021649579935`*^9, 3.796677634076013*^9, 3.7966799651977797`*^9}, CellLabel->"Out[50]=",ExpressionUUID->"00dbac20-0b9a-4d1d-9a09-84bc8b75e736"] }, Open ]], Cell[TextData[{ "We see Model (2) and (3) in the Continuous Model are close, but since AIC3 \ is less by two or more we are likely to go with Model (3) in these analyses. \ In Model (3) we note that A is so small on the order of -0.0000171611 it \ effectively reduces Model (3) to Model (2), making Models (2) and the best \ of the three as AIC1 is very high.\n\n", StyleBox["These values of long term cases or \[OpenCurlyDoubleQuote]carrying \ capacitcy\[CloseCurlyDoubleQuote] for the firuis in the population in Panama \ do vary widely with K3 being highest, although modek K2 and K3 are close to \ the same in other regards. We keep watching parameters in a second notebook, \ 1-123-T-Mma-PanamaCoronaVirus-Continuous-Predictive Potential-TeacherVersion \ .", FontWeight->"Bold", FontColor->RGBColor[1, 0, 0]] }], "Text", CellChangeTimes->{{3.7952216408193636`*^9, 3.7952216627165923`*^9}, 3.7953440338499546`*^9, {3.7953516890636616`*^9, 3.795351728558965*^9}, 3.7953672135871687`*^9, {3.795564395458282*^9, 3.795564456178461*^9}, 3.7955649201336884`*^9, {3.7957408312721443`*^9, 3.7957408524493413`*^9}, 3.7957416316331244`*^9, {3.796341645505906*^9, 3.7963416876429853`*^9}, { 3.7966802388653874`*^9, 3.796680308382922*^9}, {3.796680353957847*^9, 3.7966805015652633`*^9}},ExpressionUUID->"0c0e32fb-95d7-4be9-9e71-\ b99787dd1089"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{"K1", ",", "K2", ",", "K3"}], "}"}]], "Input", CellChangeTimes->{{3.795564526975944*^9, 3.795564541115353*^9}, { 3.795564628055131*^9, 3.795564629532675*^9}, 3.795564752739132*^9}, CellLabel->"In[51]:=",ExpressionUUID->"e36744e6-2a92-4805-9647-dba455b93a30"], Cell[BoxData[ RowBox[{"{", RowBox[{ "4471.757747255763`", ",", "5993.455457855119`", ",", "8625.712445503867`"}], "}"}]], "Output", CellChangeTimes->{ 3.7955645420190744`*^9, {3.7955646118122606`*^9, 3.795564630295442*^9}, 3.795564753911769*^9, 3.795659763914357*^9, 3.795738474579318*^9, 3.795821598317534*^9, 3.7959102916704865`*^9, 3.7960819467806015`*^9, 3.7961608987718153`*^9, 3.796209987103732*^9, 3.796341590095207*^9, 3.7965723095720606`*^9, {3.7966004017332535`*^9, 3.796600429183777*^9}, 3.796600468170737*^9, 3.7966021649799876`*^9, 3.7966776341549873`*^9, 3.7966799652667584`*^9}, CellLabel->"Out[51]=",ExpressionUUID->"705ff308-ccaa-473e-9ed3-4ff440b9fc66"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Conclusion - Continuous Model", "Subsection", CellChangeTimes->{{3.620498869630597*^9, 3.6204988755316052`*^9}, { 3.620508867541926*^9, 3.620508868711928*^9}, 3.7953442099391775`*^9, { 3.79534447162743*^9, 3.795344493335379*^9}, 3.7953667104008837`*^9},ExpressionUUID->"6ee1a0a6-1c15-4972-b79a-\ 4bfd17d4f04b"], Cell["\<\ Model (1) information in green, Model (2) information in red, and Model (3) \ information in blue. Model (2) and Model (3) are essentially the same, \ visually at least and according to AIC above. Again, in Model (3) we note \ that A is so small (e.g., -0.0000191947) it effectively reduces Model (3) to \ Model (2), effectively making Models (2) and (3) the best of the three as \ AIC1 is very high, albeit K2 and K3 differ greatly.\ \>", "Text", CellChangeTimes->{{3.7941052842743344`*^9, 3.794105328098817*^9}, { 3.795564860223296*^9, 3.79556489190257*^9}, {3.7957407380090923`*^9, 3.795740742248828*^9}, {3.796082025215466*^9, 3.7960820309117146`*^9}, { 3.796230460334446*^9, 3.796230468565921*^9}, {3.7962305049737544`*^9, 3.7962305076539288`*^9}},ExpressionUUID->"6d1fdcfb-95e4-4f13-8c48-\ 545211012dad"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ "dataPlot", ",", "yopt1Plot", ",", "yopt2Plot", ",", "yopt3Plot", ",", RowBox[{ "PlotLabel", "\[Rule]", "\"\\""}]}], "]"}]], "Input", CellChangeTimes->{{3.7940775364207664`*^9, 3.7940775445507135`*^9}, 3.7940808878530226`*^9, {3.7940814374008884`*^9, 3.7940814481394663`*^9}, 3.7940916668320866`*^9, {3.7940992266259446`*^9, 3.7940992319706473`*^9}, { 3.795366413016494*^9, 3.7953664194803295`*^9}, {3.7963417399229527`*^9, 3.7963418023188133`*^9}}, CellLabel->"In[52]:=",ExpressionUUID->"a026a6f1-b5fa-4ee6-8ecb-4e25b90fa2cc"], Cell[BoxData[ GraphicsBox[{{{{}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJxV0j9LAnEAxvEfTQ0NDg4NDVccIRFHmpWV6WVaQxAoNLVUEORikTW5nEPQ IHGIEESQIiEVkf9eQC+gtffg0NBLqHi+yx0cH7483PHjuOnjs8LJmDHG+bv/ 1fWTDmpcYeE4zmMI1zGMGZyUXo6eoneD73Xz9Az7Pm2zH9Cz0jqiI1jEOdks Bc/pl2mHvqIXZLdCR+V5lY7J0DW9yPM3dFxGavSSHN3Sy/LTp1fkZZ1OyEaD XpUTd/SatO9pvrP9QCc53yO9IU+bdErWW3RafrRpV3pPSCc77Jsy+8xO+y/s GWm9stPftNmSe2/s9OE7e1ZedNnpHm34b8o9djrWZ9+WX7RHewP2HekM3V81 3VBC "]]}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[1.6]}, {}}, { {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6], PointBox[{{25., 1475.}, {25., 1475.}}]}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.03], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}}, {{{}, {}, TagBox[ {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nc81e/7B3CbyF4h2Xvv3Xmd4zgnyspISkalyAqVhpJRihRfMkr6SIqM c6RBVkgqRSihJEoi2SMjv/P7630/H/f1vh7Xfd33437ccn6hOw+yMDEx1TAz Mf3/169YOadInLY1h/2tLRPTFCEkrVCT6cIVwtgB34J5gSlClxrTu/qEXAJx l8viqtwU4cJ8ya28hFKCac6FTiJ5iuC9h/Xi1YRagmGVaFThpSnCjhTt0xcT 3hLgFpL2W3ya0KhCPhaX8IVwtbp0dIk0Q2ibrwsrPzpAeKD75bmL+wzhQ5NZ UL/XV0LhIS3ppoAZwlx5Jl3ixiDhUY4K/eu1GQLXjiv3j0YMEeyfuVQKDc4Q dOKjrsspjhDS37fkR8TOEqLnHMLPJ0wQrn+y/vG8Z44Q75NheoH9D0Ew8lHu o8k5QnJb/7/LCX8IT2/E9DVzzhNuFhxOSk+YJLDO3fM2Np0n7FMndnY1ThHY brSLBuTME6L7PMdHGmcILKM7MtUOLBBqzFOkeZsWCCkSqiPMfEuEhjB6DD/r IqFdkGZUqLZEaC7sHha0XiSYpbNSAm2WCG1CUsViTYsEh342i53RS4T+sXvG sk1LhNljB6Lv/lkiLOc8dzRoWiZYZE0on+r5SzBbmTu/u+kfQZ8uKz/euELg uKO5Lr3+j3D3QZf8w8EVQrfdgTND5usE/ywu4Rv/VghhOV3Hj1SsE3asrdq9 MV8ldG3ufVTnxITaKItBWuUqYUPNk+IOAjN8zt93KS9bIxxbjkyfk2bF/jSd zuM164S97wS6PlqwQvf617HzA+sEUn6JYNVuVmjfYW/0YGKCgN33lOgMVpzy Nwysl2fCg2yXSxy8bEjoMZU5cpgJ30z1z25aZUNm4/lC+0Um2J+YPGTZx4H+ 7ZF/2xVYkKy3LSNxkQNqwy0qw8YsaBu/3dgtwglt/71+3HYs2OGzUzrYkRP+ tllOGWEssLN91JnbzAmao+KBvDoWUKROW62XcYFLn07N3MeKrfUcwo1x3FjP e1tFL2PD2ZPe4PuPG5dyZqfCmtlQa/A02LOOGy+ZI1iofWywvB/QOrPEjbD5 SyKmHOwwT22LVgjhgdjPyRxdb3YY708bjffYCPYh7YfXRDmgzbmljqrFB5mo Hwl16ZwoY8nO5bfnw8rcw5sF5Yy6/wlH9wTxwV/RxKvoNSd05jdYHirhw30J xUP8zFzQHZ6vuqDBj7tcr046h3Ih++tI35CIADKfWS21OW/AjWd1H+WEBRF3 akdbgQ4P9pqdaWFXEITa87vdhQ482PzE7PEvfUGcJLIatgXz4GZFZQZ9pyDO 13dnnS9huKjYlZgmiKKQzUE3NDYiN/N6p4+gEPzCBfeW6/IiLyLkXR6/MC6Z lFrH7eJHJy+dHLlFGCJSd2u+RPGD7f5s9TYtYSjM8pfsyeFH4Oeoe9N2wsgR mItv/MIPQ5u4GOsLwvDIcFOQNRBAq1iW/s9VYdTl64zw1Qtgqur5de0xEUR7 Ctda/BCEvCsbL+tfETRGBh6gLAnC7Q8lrodTFMX3/WwP8gihWr4tNEZJFJ+k deUH9YQQn/RxW6ePKKo38oe0nRPCJq/x5WM9ojj6Q4SeJiMMMIl61zaLQS+2 rSMyVATCzw6XtXeL4Rox5xr7RRGMHKtZ+/ZdDGMLysfot0SQPL7/Jge7OKaZ /dX2vBNBz8eKXkcbcby7VUb7qy2KkFIn16EX4mivtLc+Ny+KXM9kW86Xm2D8 3SkgPUscYaKDWRI9m2CYHrzc+lAcpA6DUY2fm6C+rXpgc7s4Rm36LzhxSuD2 z0ldBQ5GnJ56czZVAqdkVOdLj21CG2frVs1WCZR+ZXb+7CmB5UpWQ+dXkhhm OfD63lYp/B16dGpTryTkd/U8PuMlhSWBw8+/jkoiwSf/ZOQZKSwGtTmEcEnB ocJP5m21FOYUMwKSqFJ4XKZKVDHbjMl05bwXL6SQO3BUOt9SGt8jbbnNGzfj x/Se/A/eMhjOX3Fi7tyM3//rbXeNk8FQR2lm67fNeHTLXmS1UAbfNIWUdjFL Y+jy8+tNf2Qw8L2PEAlp+P5pqpOGLD65Bh0rY4yMs0xKTn+QxVvDq4Pyz7bg yA4+uRMC8th6rqW079UWhPxISElQkAft1dqptE9bcBRdPPeN5ZG+L0iUZWEL NLNULqt5ycMz0dbum64MyMN8o7IP5DHaz1qZx6gjzTaVbc5OAeeJNdZ8trLo PMe9/WWOIqpHdqkHOsmiNUVbNZamiJmkWYGWXbJ41+Ix5NKiiAMf1Qei/WUh 6HbL3nJGEduOZEdNxMliW2VUgcJ2JfBlHC9tq5NFe2Hua19mZdwc1RVPMpRD Yas6s32MCpS2uI0lWMqhsqVaVPOGCspcTtbGkOXw483SO7XHKmioe77/uKsc AmJLq8//VsH39J0030g5OH7ssL/nqQpNYqStaaUcngqu3xi1VENt9pPTPwzk kbM1adVGUgOU9n6HQQt5/OIS5oaZBjrYmOT7reURm394v5eHBoZCt7V2uMhD Tu9yNkumBjgovSI1EfK4m9YZvSKqCYeZ5dK0h/LIfijD+0ZSCwN2WwcJBgoY ILsIcBN1cJvv7kKFuQJWy+ljXn468Ovk4VUmKWBCrUX7Q5wOfu7uNdvorAAl 9qJL2i91MHU48n+fQhSwxMfi1qqiC5aLxZSjxQpYZuPiznmoC6UmsdJ8OUW8 lpoZTejVw+iF6CZRNUWIhYsqJ//WQ7Hd995EXUVcD1xLL1zXg3YnnSOUoIig CUuvTcr6MP62w8fCSxF0d4up6Qh9bFuPFe7OUkSHTJHONWEDBFlMnmQXUMKb 3c7WYvsN0WzKvtFFXAnTSYI8PlGGkDaWunV7ixJGmoxn668Y4p0utdFCSwnO Or/ONT41hK5yHne4nRJSXl3i+8BvhFkBxxsD8UoIPuIQSG40wqmRsponf5Uw 083hPGdqgs7hZgd2xr5/Y5EW0XU2gca3vsGdXMoY1lj8Fx9ggs/9HOx/xJSh 433o4akcE1i932evaKgMlbC/YVlrJmCq4Ru4FqKMPTsj9le2muJiash6wLAy hoQudGpGmENXhves+7gy9uc+UpZKNcenkgerpFlluIjlKmmUm0O9dfSvFKsK iEL7qmjj5mj75zf3Vl4FPvxinu7+FhAI2vVLz08F8YbMwlp+lsihoOvvoArY mPb/J31sK0jdA84joyqo9taaTM7cinHf6I7OKRUk5Z0Yka/eCsvo6rcPmFRx ZXbsTNP6Vnx9aNjqJasKATlm1s/JBCjKqdU+91aF/Ybo4G27gLIVwXuXBlTB OvfD704iEdfEZw//+aGK3MpNi5tvEBFu0K3uMqEKywyu/qJSIoyOXC/bvKoK bv/8b2udRNT0ST4ul1CD9de7kqlbSHhTpfDig6sajvcPsh2vImH0hNGw3Bs1 GDQMGbb9s8br/4ndvdCphmrxD409wmSUlC/6j/eq4WXOTeu/qmSE/qwaqxxV Q7DqrRNnXchYcN86Q+VQB2H/mEJ6ERlsxlTmEKI65AyNHjB52kBuzkOm+ok6 7qcpisS3UbDzduPb2np1BH/QPXduhIL4HZpnnr9Ux6mVZJMsJipGC9Y/tfao oy3ssaC8ERU0t8K0nkV1cHzsXsvJowJPZtnnTTRgGiPyZOupbfA5lfJb56kG hH9uYLKi2iFNeSnHoEEDnLXvDyoctENzp6+tSasGvIlhhzXi7KCqYVS49ZMG 9l1v6rldb4ep/n5v+yUNuLNohCmZb0eMlVpXoKkmNvXUpT022oHbTM1Vd59q 4lVYsuSGbQ44PPJ5OK5BE8d8bZXaAhyg2zbP69eqiWd9HI6VSQ54nqnit+WT JmKjyLfm2h0wpJ3EnbmoCVv1N0lmno5Q8Nq5J9FYCypB94RXzZ1QWDW4Glip hYMxuicfH3RGSN5fZdsaLajL6w0JnnSGcYKQs0qzFvYv/TgTm+yMFify3eEu LWjQyf/deeiMnz/v2e+d1YKZTJbMKMtOqIqF3rLX18bTAwsbUu7uxIPwNYIu TRs8yydXZ1ZcUDLiUXrhiTZkdE3d8gVcUeZZKfmlThuF/sEV/kquoJGOzF96 q43eJ1Ft2o6ueCzUWzw8pg3Fk3WNdXdc0VhRKZqppAOL14eEppzc8GnmyPha jg6ue69Oa9e4o8//pYdrvg4eSq4L3O9yR3+ffEtxkQ6c173GTMfdMdDYe3vX Ux0M6bCq5kvuwnAa1Z3+QQeBR4XcM07twonsVB99Ll1kkTqWhAgeiDULfvOD pIv468mBwv278cDCO2qQoosPbG9TZxd3o9vKWanfThc/vAIMZkU8oUQyOtex UxedhnqHnR090Wq3pv/MTxcHv4zpXHnhCb69V3KuxepC4GaMp8zTPcg5Wxpg 0aiLAHHzqNzHXmiKyRMzbtGF0D4fr7IeL/yOTW3Sfa2LM66beIaXvGB18Zi0 cqcu/i2b7nxqsQ+DV63eCwzpImSDWrpY0z4o//fWdIRZDyxbAqMaP3njYdME ZypRDwnO2+OPCvhiaeP5j1QbPRiOfPssLu+Lre4id/9tY9zbMbFD7Qa+aB01 JwU56eEpx5TxsV2+GOBNPEP11oPQjsoP1/N8scFDfnrtjB6+NJPyyAZ+8P7t 3hf4VA+c57Y+ajy8HwVGY/flavQwXxdRUH9mP8bORp/4VK+HRGXJwI5r+xEp WCBCeamHiWnv51pV+3HZeNpB7qMePpyl5PVyH8CjmKSmnlk9XM8NAkfFAfCI NpSQdfTx677eFhMBf0QVZk7bGejjQ/Lmpieq/hgxCTV2NtHH3xN+0TuJ/mjw 3NLgRdDHTy2JzI/h/jh++0zXcUd9ONpxqmzu8ceQhtny/VB96JrGGj0sOIRq UgWVl6YPt+jFjlbXAKh2X0oWrtTHZLjT2bqwAGQc9H0v8VQfz7NfX3mfHICw RIE9yg368FO/T3R6EQDldyEhhA59aMy0cDw0CUTabo2Mo1P6CHhYmqosfwQB YQVDH3QNEDUo+O4KXzDyb7kcfGVoAFb+C2PvtYLR18YyWmNqgDTVw+1G9sHY oeY7cQcGUEp7ut8rORjaQ9JLR50M4PBnoVN7YwhmXDJ5+cIMUOa4/H1WMBSn TS6bUsoNsHLw/LGAG2G48i805bGWIa7b7qi3WAjHUESDvr+eIXzSnSVmuCJg +kugR9TIECIvxq9WSUVgqIsuc8zSENuVWjjOECNgXDRLM9huiPmnPhc7rkRg 0OVEF+2wIWiZg+QmtUjoF53d9OCOIdbCOXk1Q4+hx+VKfp6EES7a/lT6qx8F V0H52lvSRvhflHC6x44odL573JMrZwSLvm7BjoNRaLMd3HhTzQg1OayxnNlR eE4wOJFlZoTjN9q35DCdxAON3u2pu42wbiB7w6v7JM6xKs3HZhuhxS9E71PK aag8rKH6Sxjj/Zf16SMu59DwZCZOTtoYrw/uu2V29Bw8a1QbPssaY0PgSW7Z q+eQ8iLd1EXVGCzI9TB5cw4LPUFqMDFGMVnn7jb5GDSvbuaRdDOGwN4i7fXc GPhRot+9vWYMyoVz9rx555Hba+VmxGUCMwWVtyKv4sByenv7Fx4TPGulBo33 xcF/827bC/wmeHG4PrL9dxx0vSOtesRMINT57GO9QDyavxcrnVQygcGOm2Gk 3fH4PSm+UEMyQW3B6NGu3/Gw5Ji5To42Qc7XohbKlgvo0y/85DJjgk3/0YwO PUjEoc1LrdsXTEAd2H4tuTERc+x2VdbLJtgh+WS6sTcRfL0T2QYsprga3d3j x3UJpHNGe4SFTFES5pMR6n8JD940f+nUM0VYiXB9vdJlnDkwPOR81BTEA3cD HOhJkL4uO+E4ZQqOgFGJ2NUUXGj4HeD6xQxN1Ytm+ybSMD/3+oTxgDm+6Hv4 hCtlQn3vtZVDfRZIlkp0Cq+8gYTL937+98ISRnPM7l6StzHS2HGgqtkKb533 PVrNzEdI43a73oqtUHz1yJ38rQA1c6V3t90kYMn9T3gEyz0kbhJ89XoHMG2+ +2CXbBFsJCMj5huB9psVPOJDxWCX8xnhsyaiLKq65ltCCcoiV/dOkIk4vumJ 1pmkEni0ZnW9oRCxZVjzvVBqCYpD3zck2jHeKaeNKgxvlsCpjnSDZScRVa9c p+wqSpCzR8lpwYcI59TrbI1fSqBzfazqy1kiIlozIwb1SrGb59iVkmoiklMr 9MTbS3FYay3/fA0RVwUEucu6SnHcMeGpex0Rh57uOUX8VIr0/2UMMzUSEfry ncq+b6XokHps5vaKiNtJ1n0hs6WgaC7+WOshYvjvYtMfsTIY2p/c6jhPxJ4Y E+PwPWUQuBo9Oa1DwkzhhpJPfWUw+KDS8EePBKdoib0zA2Vwl+q8Nm5AQgLH hxNcw2W4eU9Z/4cJCZbyUctq42VQaWiP/EQgQfrMy4OklTJsnZZbrnMk4cVy fP5ryXIEu7SwJYeS8KinxIm6qxyvxfkllctJYB703Hu4pRynmS+vMNFJ+DNh 0XzsVTk0x9m+9FeQ8PrkfFxMWzmu1i3npT4m4ezGWcGUznK4HhxRWqsloWGv VPalgXJ8qajV624jYWryZz/rQjmm7INsY8dI6H9eX5koSMN/Jj/VvX6TEHeK mDkiRMNOOb+Npn9IMHRLIVqL0PBoblf7xDQJPBJrU0tiNJy6Ye22+y8Jtf0O XW6baWD7Jemry2UN31Q1/4/KNIjHv4oaULLG1Vjd2iVzGj6n+ot+U7GGWKyo 53ZLGvLzWCuG1awxmeR//6YVDZrPrMZHtazxkvOKlwVoIM7QvWaNrKEdnkUN sKHhiE8OiYtiDebQlxyJjjTUWx7ZqO9vDZ755jOf/GiIt+MqMjxsDY/wRw6s B2iw87hrYxJojb87t89qHqShO+LrWcsQa6SFhT09c4iGX8Uu05Tj1lAMfuHA F0SDsITlxz0XrJGso5q0HEnDofmNtxMKrXFCv0LxXwINae8z+s/et4b7M7dg pos01JRuEY8qtsbBrDI6cyINQv66KYFl1uDOFtZjvkxD3UeXM46PrfHEIkNh 7goNIk9zPCRaGP3Zvzm3OIOGhlOqgqU/rNF+eNOcdwEN4+70HYU/rfHr1eoB 67s0iBmYJ+b9ssbpgwYTSoWM9Y9vX0+dYPQv9Cdl9B5jfm/oxPF5a3hlRxv7 PaAh2OrxK7CTkbKmX6tRQYMkEzm2W5GMb6fesEjV09B1LvfdA2UyLJ5fvPiB 4eT1Bck4xju9qubXrqsNNPz7V/RQT5MMezbxAaZGGobX+H+kGJBRw2Gb2t9M Q8lKP9WWREaYGVEq7DUNVosRvHXeZNzhTf4l8YGGheNvd2f4kjFgEshbzzBt QbkwaD8ZBR4jV/d/pEF+oXer1CEyXrCuVhT30MAxTwiLCiHj+Kd95/X6aHg3 w9OlH02G7ednz+S+0uDz507WvRwydn07dOLaKA1aaTK3C2+SsXKR95X2LxqW jW7cu3uLjAQm/6NtDKdHpz2+k0/GtT0drezjNLzaeL47r5iMzunOgrAJGvQ1 9glkVZMRXM6drzLDOK+HNyUm9pFRZPZ3k8wKDe950q9e/ExGmnvTmSKGb5Xz Z14YIOOEPWm7wSoNposchfFDZLx98UzdZo3R7wvzTTFjZGgscrP5rdPwsaBz PWqZjAOXvvwXw0pH0bfkEwGSNgji/h3txkMHm1rvVcpmGzz59ti5hWGfMKX7 CltssFi0VmG8kQ6x9dpPX+RsUJjyREaMl474zZNmO9VsQH7RVdrOx4jf5bxq bmoDg2zjFS0hOsTfip7f6G6D+82aljmb6AgX8cv+tcsGbmsbUtYYfrenjN6y 2wZvv0ad8pFg5BujDMV42SCcJVNRSZKOGc4o6/kDNjh3NLW1SIoRT+pjH4iw QeZ7u4LbW+hIeHrrcnmqDagFvQSqIh2Udx+Jcf+zQVeJ28hNhjm+8/11z7DB x5Rs4xmGE/nPHfqXZYMw9ZYPN5ToSPb3JtvftsH1qnrxcWU60kVk/42V2WDb r5Lpk2p0FIT9d1S5zQadN+LU92jTcfBCr+ryWxt408QKCxlWvik4+LbdBpPb XT5MM3z/5XmHY102eCY263hRh46SLX4azX020Lf6XlumS0dlm/wP31828HIP qpnUp6NZtcAjl4OCQJlCI0sTOrL9/r3O4qJgMOO6azzDITc9rNK5KeD3EVVs Y3iTAK98Eh8FXEaCHz1N6QhaPDYeJUbBIbLx1UgzOkRaqGddlSm46dRyK9uC Ue/+8Ts8FAqMRsr8Swh0mOfaiHFuoyA6Md9onGGBnrxEFjsKhLTk69VAR7Wd a/BfewrmTk6xFDLMp19r/NONAs6jP9xuEOl4zHT1VeNBCtanNgectGb095b+ 5MkECiplhYzYqXQEnPYKd7lIwYOsLnNThts8Euc1L1FA2N3Ac4Th/wkPrHxN puB16DR/B8Oyly5xUdIpKOg6ey9zGx0WkYNyQncomMzgIErb0RFml+Ja3EBB XcP/zrPa09GtUtUT10gB86UUJ12GTdi/e3o1U9ATwDq9l+F/9Wa+Aq2M9VRv uveI4SSjH8HH2ynI8RWZOOBAR6Gs5UXSAAWpdzu4njnS0b/wq6pvhQKlOatq yk7GfskMOYyvUWB2ye+/cIbPbusbXlmnIP9xotsthmVzXvNKs1Hx9myj0jzD /lYPfL03UuFsZx5024WO6bigDd83U6HHP9g44UoHp+Ckx4QVFTXG18QP7qLj k9nPiTUCFV/11rmTGC72+xrLR6JC9gyhk8bwjsr2Eh0KI3/sv88rDKftojGF O1Dxjz47etWDDulbR+8v7KPCMGaSnbabjj8tAVacvlSsfn1m38Vww6Rvp/h+ KqLSA4MWGPYj7lw1PUTF+R4NHUtPxvn8ru90OpQKtW17218wfIpX40fSUSqS yXu6fjK83Vjh1M0Ixv+rtPINexj5LwoX1J6g4tay2MwOhutpPGbvTlKhNHne I4Tha72s7wZOU2GxupR5lWE/llW/yWgqgpfv02gMG2jMLa6fo4L5Wl3+e4b/ D2LhfFU= "]]}, Annotation[#, "Charting`Private`Tag$1871#1"]& ]}, {}}, {{{}, {}, TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVz2s0lAkAh/EpoZpcOioR1VSGKMSklPH+ZzCvym1jT7IrjDbNriWsHbJy HVOK0GU7tgy5jdwm72ylTYQ6a9rUdrHYSCSVy8gZd2rbD8/5fX4Y/PD93y2k 0WjuX/pf/jVmbpm+zJE+wBxcQhslwnJKttDSMogpuMe/4I0RzzbTWutFV4jG C/fK5ZkqIm28Ik8iqiTMClI6qhnTRMA3auKzojoi0Wyx3Nt8AdwyLePEokfE K6lbo0i4FI2mztEpoi4iTjLGcr+7CvEqj8gk0TAhX+M2re5lAvtZVdLBpk9E vmJRgPoJO7gLlSEOnRowj0m1SzzBgaXm2rvkVm2wXDbNOQe5QhIV1irR0cME v/eC8ogXQFsZUNe8Cs3M0g2NL3wwI1djfdViiPI2R8d78MMj1tmeDX+sRXZ0 sYnrhkBcfmetf5rFgPtc9VXPPcHo3uvYQ9huhMmUkTR2fQhCdytj1XVNcExi deoD8weIs8M+C/qYUAh3OHRlhKNqdnnpqW4zcEZ9MkMjI8FQ+a67fdMcL52N N+fsikY+rbm2+NYW9EdTulm/xqA8cp6wllnCPlFX6kL+gmT7Hx/2c63h7x58 WEhPBNU0rJnN2Qbx89naPp9k0Fc2VDhb2WCPoMprgSwVgmNFvS+sbRE+aOQQ kSBGxqfwzBtbWTiqFwzvk+n4xzvjqsRgOwoPaQWskWTAlLpDHjGwQ/O20fDM gixc6WB/vX3xDrytF21Ni8lBp01Ju/fYDrycMY+2P3oexhfXD3uO7kRciMy/ vfQi0hqGBD5d9iicOWx1v+8SxlUKoV33LuTsDS57HfUbzL/Nmg3p3A1LH+ZR lmEeROmlAwX3HeDt91C560A+3jY+OVzbzEYmw/wTV1GAsMZ9eztqHNGx05Qs tSzEHVVlsetlAvvZcznrzhXh5OrlLQo3QDom0NRZUwIXw5+ixhuBCHZD2/30 UqgzAt9qO3EgzUt5J1hdhoP06IyK2xxMP34y3CO+Bt2z8cqPVlyUB+d2f3hf DoW+jiGzmgvbv4qKuYGV0E9tiek2cYLFzJ/eTjVVCBlfli8qccIZj+Ntk4tl MKQ5Jz/f5AyuRGTgVilD4EjhpdJcZ+SmjuiccbyOstdnhAJDF9A16qIePr0O 0a289OpsF/CiztE5PjVoNivyvaLBwxPPRJVMUQONPBtlrIiHlh7X0LscCv9O vK/tnOWBpcbvZUgpVKzr9Ric52GgIc63vYzCCdfOvtnPPLjoGW3JLKewPleh ZbyIBDvdd2iyisIRdnlQwDISwgTJs6bfKXxMCV3yxohE2NwNH3YTBc3lSt9h NoniWubrm10U2u0HhucJEm2jKQ5+ryhc479K1uaSqNd/OTXbQ8FN/rjCikdi KmHsPPsNhZwDMlqkBwnt1WP+tR8oGOdFSCcOkXCr8Xc/N0lh5IGArRlEotPX 74HFNIUGZdBT/WASgf3brjbNUOBz9s/tDCFh3T6U/HGegvSNjVdcOAnu2vFB l0VyHNey6D8dQWKFp0VCh7oc++w2Hr8c9eVngvVzqKYcI2K9ojohCWkWsrKW ylEvo9u3xpIYqkiiGMvkyOpQa+2OIxGRs2J3jZYc/IVzfGU8CRrdwJSrI4et hWrycwKJ78erhH/ryvEfOZ88RA== "]]}, Annotation[#, "Charting`Private`Tag$2743#1"]& ]}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj3k4lAkAh2cTtq0cq9CUHJWzxBgi8f1oms/jWsk6HpWayjSbI8m6Fjkm RRgqIUcH49ZovjY6VNieRqFIOZYOiZ6Wqc1RiLV//J73v/d9ftqcYPdDi2g0 msvC/ienQjevXE1ku3zP7q/ytE9EUJZwI+1kGmH4Kt+U+/wz0WlAa7vHLyDO 7HrGair/QpycqCos4lcTI3vl5kK9pgg/X5nkDP5d4vfsioSHDXOEc7pxdDK/ lVA90t7WMSCHRj1WWCK/n2idSp38QUsFMeOux+L5owQ7kx7YJNSG1cx4vE/T HGEsk6TYf54Bl3Apd1uvHLqm9ddEK9vAWH5tA7lJAVl6Kx71cFkoCg1qK1JU QXWs70jtDSeAttLvbrMqTos577SbdmKakmHulNBx56twdWeBJ1qZGa91bq9F qLUh00l9N/JHTNRSmdpoI32GUib3YcDR9jVhtg7mp0r+EGQeRIC1NFJWaQNa AgxcVnAPIzkzaJ43qAuex5PpbmEAamaUS08P6CNi5W9ZEulRaI97a966aQjP DFFygygUl2jN9SV1G2FkvPWndoVwVB77TpiIjEGTTK2XSKKQYBX4eMjeBHWD OgLZmliIm0blM+1MkaV0wvR4bTyWrrxfxdrMAOOG4oPVOkngHS1+22ViBr/b fbFjCslImwtO/3MTEyXZZmGuW1PwclfalaJV5mAm3eQkhqVBT3yH9F9lgWKN dbyNVwQo6LH51fzHLUiPstUaTstCL0PYvevfLeh07+pqyjwHjWyt0V8+WWL6 Y9ziN0PZOHn/H55HvxVyjcqUIxi5mBhvCbcY2Ar9Cxxm2dOLMNwtmOH2WsPB 0UAnK64Q/JTS4ct/bcPLx5aEfuolvG98erC+2QZqF32DrWcvI6jRybHnui3y dIr9i3yv4s54dYlDPoGqmiW6vnXFOKWuLGlxBlJPHB7UMhdiB/146EQj8MF6 T3xgTilktfe9V9huhwg91yPuauXwWRqWVnXLDq8Eg6ckERVQyoiRft5sD4bi rOZQayVa1BTputfsYWCn6sWyrIZakiRiYMN2RL0uCFJPqAF3YtklvnA7ahoa FRz7r4FOYyU8X89CN1lsF3VWhH1jV3NK81ioHlV6O6lXi/I3Z8J59B2Iy+5r kW2qBb+uMOVa5g48HfcdprteR7N+sXeBHBuBrZnT9GfXIVfIkEby2SgVoYj0 EaNv8kN97wwbe0ydBC86xKjSfOv68TsbWg7LAj88FyPWoXdwZp4N29pvb2Ze iKGV17JcYzGJjsGEc5p9YvjbVO73W0YioPKoBmdQjM+JAUverSHx4HbEo84v YsgrS71HbUhsaHfv5a2g0G01PPqdIJGYbtkZrEqhgvMqQcGeRI7Xk0Nh6hSc qfaqzWwS6gYm3nFrKGR5iWjHXEn8XE+Gpq+noFEYUja5l0TIkpq0XCaFsYc8 G/n9JAb8PfRyLSjcl+7vUDtAYsQzxDfHkgLHzn3WkktisbLd2fPbKJS9Y7hF B5P49ne2fSqLQtRyo6HUkIU/DW61yWwKThbrovJDSdSFD91KdFjwJ6sU3w0n MSx4VhjlTOGeaKlVWyQJl0X2kWGuFAQ9Mm0D0SSmA+6NBbst9BbNcqQxJGJ8 POd57hTMjMan5uNIHHRTqTzgQeE/G6U5xQ== "]]}, Annotation[#, "Charting`Private`Tag$3348#1"]& ]}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Official Cases\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotLabel->FormBox[ "\"Model (1)-Green, Model (2)-Red, Model (3)-Blue\"", TraditionalForm], PlotRange->{{0, 47}, {0, 5682.6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7940993864423213`*^9, 3.7953664204325256`*^9, 3.795366864908218*^9, 3.7953674632331944`*^9, 3.7953685008110795`*^9, 3.7953686449804955`*^9, 3.79537009748973*^9, 3.7953990101496086`*^9, 3.7955644615108194`*^9, 3.7956597818098497`*^9, 3.795738474608308*^9, 3.795821598402509*^9, 3.7959102917364683`*^9, 3.796081946858577*^9, 3.7961608988567877`*^9, 3.7962099871818595`*^9, 3.7963415901122017`*^9, {3.7963417824978905`*^9, 3.7963418048430367`*^9}, 3.796572309650036*^9, {3.7966004018182287`*^9, 3.796600429379717*^9}, 3.7966004681937294`*^9, 3.7966021650029793`*^9, 3.7966776342419615`*^9, 3.7966799653367386`*^9}, CellLabel->"Out[52]=",ExpressionUUID->"62f8313c-9e3f-4512-81ba-2cd123caa272"] }, Open ]], Cell["\<\ We plot the residuals for each model for comparisons, but we look at those \ for Model (2) first.\ \>", "Text", CellChangeTimes->{{3.794134921029951*^9, 3.794134937168552*^9}, { 3.7963418520015783`*^9, 3.796341862156459*^9}},ExpressionUUID->"590572f5-167f-4c8e-80ae-\ 23d89abdc12d"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Residual2Continuous", " ", "=", " ", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], "-", " ", RowBox[{"ysol2", "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}], ",", RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.794103994770723*^9, 3.794104072448557*^9}, { 3.7941043493978257`*^9, 3.7941043930003147`*^9}, {3.794104453521432*^9, 3.79410446002223*^9}, 3.794104546081687*^9, {3.7941398141170588`*^9, 3.794139831776888*^9}, {3.795366494685523*^9, 3.7953665580072813`*^9}}, CellLabel->"In[53]:=",ExpressionUUID->"99d7a4b9-55df-4cd3-8c45-a1db0ece2277"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7DtFvV5bcqkegAo4ZJyrUIn9qAflczg4zf66 4giXOZQv4PDF0mimaaEllC/iEDN/hbLIFwcoX8Ihys4gzz/SHcqXcbgz6/mb ul4fKF/B4cRj+YRHMoFQvpJD3ImDWVtYQ6B8FYdV/NsaGaLCoHw1B42f31oO lURA+RoOV4SCk5U/B0H5Wg4PznvtSzIJhvJ1HAwYdy0NNPaD8vUcCm5mndjV GgrlGzjMaD3pLmbpBeUbOjRMrj/EIKoE5Rs5POjUUr/RZ+0A4Rs7FAivy9/6 zBPKN3F4YPm7Z2Z3IJRv6pBgtm+7vLwXlG/mwPBl4n7R+WZQvjmQLzhdsJYD yrdwYIhL/+k9mRvKt3RoqHks279SH8q3cmC4Waa00soXyge6w26rx98TplC+ jYMD+/P1BvsdoXxbB4cPsdLbDsDC387hwekj1y1ZYeFj78BgfedUrKEOVL2D AwOf4uuawy4QfgOQXztxaphpAFTe0eHAwpkWabnxUHlHh4RSZu+A8nCovJND w2L3TndOW4j5DU4OD7TK35lHx0Ltc3ZQEOQobbCIh8o7OzhIiHzxnOYElQfa q2LgmNGrAZV3cTjQLHBBNDIaKu/qwGCikfGtJgAqD+TP8+w4YK4PlXdzYDjJ r/L+hAHUfW4OBxYUixaegbnf3UEh6OWCs74JDgAqHr2R "]]}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Residual\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImageMargins->0., ImageSize->Automatic, ImageSizeRaw->Automatic, Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 46.}, {-124.88284040248664`, 130.43135114260167`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.796341970429251*^9, 3.796572309750005*^9, {3.7966004018742094`*^9, 3.796600429491682*^9}, 3.796600468302696*^9, 3.796602165063962*^9, 3.796677634286948*^9, 3.7966799654387054`*^9}, CellLabel->"Out[53]=",ExpressionUUID->"8d997634-92bd-423d-9e86-d9a3cbf07f07"] }, Open ]], Cell["\<\ The plot of our residuals should be normal, i.e. as many values on each side \ of 0 with a normal shape distribution. Here we see a histogram of the data \ for Models (2) and (3). This while there is pattern in plots of the residuals \ in each case - which is not a good sign of a good model.\ \>", "Text", CellChangeTimes->{{3.7963432713499155`*^9, 3.7963433341366577`*^9}, { 3.796572790954423*^9, 3.7965727962827773`*^9}, {3.7966805240603175`*^9, 3.7966805308922043`*^9}, {3.796680575011579*^9, 3.796680612827901*^9}},ExpressionUUID->"a0e06500-fca4-4e88-ba9a-\ cf3e8acd6ceb"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Residual2HistData", " ", "=", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], "-", " ", RowBox[{"ysol2", "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.794103994770723*^9, 3.794104072448557*^9}, { 3.7941043493978257`*^9, 3.7941043930003147`*^9}, {3.794104453521432*^9, 3.79410446002223*^9}, 3.794104546081687*^9, {3.7941398141170588`*^9, 3.794139831776888*^9}, {3.795366494685523*^9, 3.7953665580072813`*^9}, { 3.7963420146057043`*^9, 3.796342038507371*^9}, {3.796342070282625*^9, 3.7963420726908875`*^9}}, CellLabel->"In[54]:=",ExpressionUUID->"0a30649c-a7a3-4947-859f-f44677e44949"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "10.51997313765857`"}], ",", RowBox[{"-", "15.471413745638714`"}], ",", RowBox[{"-", "23.042063293421286`"}], ",", RowBox[{"-", "25.442224097025203`"}], ",", RowBox[{"-", "33.906864602408604`"}], ",", RowBox[{"-", "46.697736524158884`"}], ",", RowBox[{"-", "57.10543595608553`"}], ",", RowBox[{"-", "68.45131686319576`"}], ",", RowBox[{"-", "80.08913678096857`"}], ",", RowBox[{"-", "89.4062809255544`"}], ",", RowBox[{"-", "97.82437252157672`"}], ",", RowBox[{"-", "75.79903491127635`"}], ",", RowBox[{"-", "76.81852681451664`"}], ",", RowBox[{"-", "60.40092917997606`"}], ",", RowBox[{"-", "86.08952532228955`"}], ",", RowBox[{"-", "52.44599244441923`"}], ",", RowBox[{"-", "9.041021421502364`"}], ",", "27.55798573292293`", ",", "51.802411994932186`", ",", "70.18124699147984`", ",", "52.243155448796415`", ",", "22.621425603039825`", ",", "3.0610687067369327`", ",", "3.4469222531004107`", ",", "15.831170019168212`", ",", "58.45828657916172`", ",", "21.78511480736597`", ",", "35.493673312956616`", ",", RowBox[{"-", "33.50555746161308`"}], ",", RowBox[{"-", "72.08165544718167`"}], ",", "14.09641870439873`", ",", "41.52724970926283`", ",", "64.8334096833023`", ",", "125.70936408045873`", ",", "93.86427569711441`", ",", RowBox[{"-", "29.03624780653945`"}], ",", RowBox[{"-", "117.42528878819894`"}], ",", RowBox[{"-", "124.88284040248664`"}], ",", RowBox[{"-", "37.17413187962711`"}], ",", RowBox[{"-", "12.276186024786512`"}], ",", RowBox[{"-", "109.39195634472617`"}], ",", RowBox[{"-", "65.9525394814118`"}], ",", RowBox[{"-", "15.608890780436013`"}], ",", "16.784899000028418`", ",", "67.19440208713331`", ",", "130.43135114260167`"}], "}"}]], "Output", CellChangeTimes->{ 3.79634203968501*^9, 3.7963420735346265`*^9, 3.796572309774996*^9, { 3.7966004018932033`*^9, 3.7966004295196714`*^9}, 3.7966004683236885`*^9, 3.796602165090953*^9, 3.7966776343099413`*^9, 3.7966799654646983`*^9}, CellLabel->"Out[54]=",ExpressionUUID->"02237a46-ba9f-4445-9e97-f3d8730e76b8"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Histogram", "[", RowBox[{"Residual2HistData", ",", "7"}], "]"}]], "Input", CellChangeTimes->{{3.7963420534537897`*^9, 3.796342060440647*^9}, { 3.7963421800159698`*^9, 3.796342205493155*^9}, {3.796572739625271*^9, 3.796572774344552*^9}, {3.7966805464094152`*^9, 3.796680558658633*^9}}, CellLabel->"In[63]:=",ExpressionUUID->"7f58c63d-541a-423b-bb23-0cbe12230401"], Cell[BoxData[ GraphicsBox[{ {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.644], Thickness[Small]}], {}, {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.644], Thickness[Small]}], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{-150., 0}, {-100., 3.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{32.96274509803922, 121.7856209150327}, { 70.55527474502382, 150.4069153847804}}], "DelayedMouseEffectStyle"], StatusArea[#, 3]& , TagBoxNote->"3"], StyleBox["3", {}, StripOnInput -> False]], Annotation[#, Style[3, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{-100., 0}, {-50., 12.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{120.98562091503268`, 209.80849673202613`}, {-166.59964717424594`, 150.4069153847804}}], "DelayedMouseEffectStyle"], StatusArea[#, 12]& , TagBoxNote->"12"], StyleBox["12", {}, StripOnInput -> False]], Annotation[#, Style[12, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{-50., 0}, {0., 12.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{209.00849673202615`, 297.83137254901965`}, {-166.59964717424594`, 150.4069153847804}}], "DelayedMouseEffectStyle"], StatusArea[#, 12]& , TagBoxNote->"12"], StyleBox["12", {}, StripOnInput -> False]], Annotation[#, Style[12, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{0., 0}, {50., 10.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{297.0313725490196, 385.8542483660131}, {-113.89855341440818`, 150.4069153847804}}], "DelayedMouseEffectStyle"], StatusArea[#, 10]& , TagBoxNote->"10"], StyleBox["10", {}, StripOnInput -> False]], Annotation[#, Style[10, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{50., 0}, {100., 7.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{385.0542483660131, 473.87712418300663`}, {-34.84691277465163, 150.4069153847804}}], "DelayedMouseEffectStyle"], StatusArea[#, 7]& , TagBoxNote->"7"], StyleBox["7", {}, StripOnInput -> False]], Annotation[#, Style[7, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{100., 0}, {150., 2.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{473.0771241830065, 561.9}, {96.90582162494269, 150.4069153847804}}], "DelayedMouseEffectStyle"], StatusArea[#, 2]& , TagBoxNote->"2"], StyleBox["2", {}, StripOnInput -> False]], Annotation[#, Style[2, {}], "Tooltip"]& ]}, {}, {}}, {{}, {}, {}, {}, {}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{-156., 0}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], PlotRange->{{-150., 150.}, {All, All}}, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.7963420612134066`*^9, 3.7963420765147123`*^9}, { 3.7963421810616484`*^9, 3.7963422059620113`*^9}, 3.7963432603003006`*^9, 3.7965723099099555`*^9, {3.796572740597969*^9, 3.7965727748593903`*^9}, { 3.796600401978179*^9, 3.7966004296246414`*^9}, 3.7966004684706445`*^9, 3.7966021651579328`*^9, 3.796677634432903*^9, 3.7966799655866594`*^9, { 3.7966805467563047`*^9, 3.79668055894254*^9}}, CellLabel->"Out[63]=",ExpressionUUID->"039d78b8-ec35-4977-bf0c-77ef6a7798eb"] }, Open ]], Cell["\<\ The plot of our residuals should be normal, i.e. as many values on each side \ of 0 with a normal shape distribution. Here we see a histogram of the data.\ \>", "Text", CellChangeTimes->{{3.7963432713499155`*^9, 3.7963433341366577`*^9}, { 3.796572790954423*^9, 3.7965727962827773`*^9}},ExpressionUUID->"6b73b5fe-5ac6-4cb9-912a-\ a0054ef9707f"], Cell[CellGroupData[{ Cell[BoxData["Residual3Continuous"], "Input", CellChangeTimes->{{3.7966006319421644`*^9, 3.796600645641929*^9}}, CellLabel->"In[56]:=",ExpressionUUID->"5216c9d6-fad3-4507-ad6a-6d70d1d91665"], Cell[BoxData[ GraphicsBox[{{}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7G215D4GCCgegAo4NGm0bmE9qwblczgcEp6s tumcAZQv4DDjhdnxyt8wvoiD3AqH9VX65lC+hAOPONsM9tsOUL6MQ59366VX H12gfAUHqaAs1WPdnlC+ksMV88ZrtrF+UL6KwzKpDz9NBAKhfDWHa6e2qeWc CoLyNRzetN0rj/wP06/lkPDT8UOXpheUr+PAYKwfz/XQEcrXc1DYet3D9hvM fAOHBPuSRa6ltlC+oYPDh07hZlYNBwjfyIFBhlvD7qMblG/scGPvH+79ywOg fBMHhkv7lq80CIHyTR0SZL3Wz/jlA+WbOTgoCbaqMZtD+UD6yVsG72sMUPss HBjcFwt7PJeB8i2B6u7E7/020x7Ct3JI2HvN/racM1S/tQNDRq/Dw8I/+yF8 G4cGuZwr714pQ+VtHRr+rdllvtkXap6dw4EHFordqhFQvj1Q3ZQfezlkoXwH hwaTbZJLPltA9Dc4ODgs/JzPaeQNNc/RYUGvzq+vU+Og8kC+Q/mCzfURUHkn B4bd1lErphlCzGtwcjgQs7bz1z2Yfc4ODwQbM9urIqHyQH/YCGoXN6hB5V0c GHpqN/n+0Yaa7+Jw4HPJT97SUKi8KzD++nwabT2g+oF8FQcz8yB5qDwwXr5F HpMOUYPqB/KrawrjbGDx5e5w4Hjo4v/7Qx0AUpfCdA== "]]}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Residual\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 46.}, {-101.9145149002502, 122.34313825941945`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.7966006464026937`*^9, 3.796602165183925*^9, 3.796677634455896*^9, 3.796679965617651*^9}, CellLabel->"Out[56]=",ExpressionUUID->"9bcbaac7-2ed2-4734-98bb-d13f87ea3f75"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Residual3HistData", " ", "=", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "2"}], "]"}], "]"}], "-", " ", RowBox[{"ysol3", "[", RowBox[{"data", "[", RowBox[{"[", RowBox[{"i", ",", "1"}], "]"}], "]"}], "]"}]}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", " ", RowBox[{"Length", "[", "data", "]"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.794103994770723*^9, 3.794104072448557*^9}, { 3.7941043493978257`*^9, 3.7941043930003147`*^9}, {3.794104453521432*^9, 3.79410446002223*^9}, 3.794104546081687*^9, {3.7941398141170588`*^9, 3.794139831776888*^9}, {3.795366494685523*^9, 3.7953665580072813`*^9}, { 3.7963420146057043`*^9, 3.796342038507371*^9}, {3.796342070282625*^9, 3.7963420726908875`*^9}, {3.796600501668395*^9, 3.7966005046044865`*^9}, 3.796600537776245*^9, {3.7966005777898874`*^9, 3.7966005977657185`*^9}}, CellLabel->"In[57]:=",ExpressionUUID->"7169789e-d493-45f5-9184-6211b44d3edb"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "8.531867537433863`"}], ",", RowBox[{"-", "11.400434151892345`"}], ",", RowBox[{"-", "16.8074058636737`"}], ",", RowBox[{"-", "16.98232693758527`"}], ",", RowBox[{"-", "23.185465768132524`"}], ",", RowBox[{"-", "33.71116924569478`"}], ",", RowBox[{"-", "41.88997870930244`"}], ",", RowBox[{"-", "51.0919844407219`"}], ",", RowBox[{"-", "60.728449643225446`"}], ",", RowBox[{"-", "68.25323341796556`"}], ",", RowBox[{"-", "75.16285102701963`"}], ",", RowBox[{"-", "51.99491785398081`"}], ",", RowBox[{"-", "52.324552566732336`"}], ",", RowBox[{"-", "35.758129022642606`"}], ",", RowBox[{"-", "61.923745255781114`"}], ",", RowBox[{"-", "29.45809378946376`"}], ",", "12.010765657985871`", ",", "45.88470936338854`", ",", "66.62103557283206`", ",", "80.76035493502422`", ",", "57.95778456801304`", ",", "23.0123065153914`", ",", RowBox[{"-", "2.1046352455709894`"}], ",", RowBox[{"-", "7.22586088832918`"}], ",", "0.025355299926559383`", ",", "38.2410659597906`", ",", RowBox[{"-", "1.7778027078225023`"}], ",", "9.958853376577508`", ",", RowBox[{"-", "59.400138220281406`"}], ",", RowBox[{"-", "96.58661680750356`"}], ",", RowBox[{"-", "7.258537181885913`"}], ",", "24.951722723945295`", ",", "54.39091300388327`", ",", "122.34313825941945`", ",", "97.9953385510039`", ",", RowBox[{"-", "17.588506354887613`"}], ",", RowBox[{"-", "99.48404161386406`"}], ",", RowBox[{"-", "101.9145149002502`"}], ",", RowBox[{"-", "11.250878663877302`"}], ",", "13.992780282807871`", ",", RowBox[{"-", "85.82897793217762`"}], ",", RowBox[{"-", "48.4805083937008`"}], ",", RowBox[{"-", "7.83028874174579`"}], ",", "11.164274404985008`", ",", "44.471632180959205`", ",", "86.99997790696125`"}], "}"}]], "Output", CellChangeTimes->{ 3.796600506086028*^9, 3.7966005384260416`*^9, {3.796600578149773*^9, 3.7966005979686537`*^9}, 3.7966021652079177`*^9, 3.7966776344778876`*^9, 3.796679965644643*^9}, CellLabel->"Out[57]=",ExpressionUUID->"713be359-e018-4e3f-b77b-2cdc12278450"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Histogram", "[", RowBox[{"Residual3HistData", ",", "7"}], "]"}]], "Input", CellChangeTimes->{{3.7963420534537897`*^9, 3.796342060440647*^9}, { 3.7963421800159698`*^9, 3.796342205493155*^9}, {3.796572739625271*^9, 3.796572774344552*^9}, 3.796600591787565*^9}, CellLabel->"In[64]:=",ExpressionUUID->"64e5c9d8-5c6d-4348-acee-86dd16e3ef6e"], Cell[BoxData[ GraphicsBox[{ {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.644], Thickness[Small]}], {}, {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.644], Thickness[Small]}], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{-150., 0}, {-100., 1.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{32.96274509803922, 121.7856209150327}, { 131.0065293518964, 150.40691538478032`}}], "DelayedMouseEffectStyle"], StatusArea[#, 1]& , TagBoxNote->"1"], StyleBox["1", {}, StripOnInput -> False]], Annotation[#, Style[1, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{-100., 0}, {-50., 11.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{120.98562091503268`, 209.80849673202613`}, {-54.99733097694252, 150.40691538478032`}}], "DelayedMouseEffectStyle"], StatusArea[#, 11]& , TagBoxNote->"11"], StyleBox["11", {}, StripOnInput -> False]], Annotation[#, Style[11, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{-50., 0}, {0., 17.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{209.00849673202615`, 297.83137254901965`}, {-166.59964717424586`, 150.40691538478032`}}], "DelayedMouseEffectStyle"], StatusArea[#, 17]& , TagBoxNote->"17"], StyleBox["17", {}, StripOnInput -> False]], Annotation[#, Style[17, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{0., 0}, {50., 10.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{297.0313725490196, 385.8542483660131}, {-36.39694494405862, 150.40691538478032`}}], "DelayedMouseEffectStyle"], StatusArea[#, 10]& , TagBoxNote->"10"], StyleBox["10", {}, StripOnInput -> False]], Annotation[#, Style[10, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{50., 0}, {100., 6.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{385.0542483660131, 473.87712418300663`}, { 38.00459918747694, 150.40691538478032`}}], "DelayedMouseEffectStyle"], StatusArea[#, 6]& , TagBoxNote->"6"], StyleBox["6", {}, StripOnInput -> False]], Annotation[#, Style[6, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{100., 0}, {150., 1.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{473.0771241830065, 561.9}, {131.0065293518964, 150.40691538478032`}}], "DelayedMouseEffectStyle"], StatusArea[#, 1]& , TagBoxNote->"1"], StyleBox["1", {}, StripOnInput -> False]], Annotation[#, Style[1, {}], "Tooltip"]& ]}, {}, {}}, {{}, {}, {}, {}, {}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{-156., 0}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], PlotRange->{{-150., 150.}, {All, All}}, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.7966005920884686`*^9, 3.7966006016175246`*^9}, 3.79660216529889*^9, 3.7966776345608625`*^9, 3.7966799657466097`*^9, 3.79668056387202*^9}, CellLabel->"Out[64]=",ExpressionUUID->"e05e9759-d584-45d6-a0e8-fbba03cd1803"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ "Residual1Continuous", ",", "Residual2Continuous", ",", "Residual3Continuous"}], "]"}]], "Input", CellChangeTimes->{{3.7941044663825073`*^9, 3.794104474293587*^9}, { 3.7953665982917843`*^9, 3.795366608064094*^9}}, CellLabel->"In[59]:=",ExpressionUUID->"775568bf-33b8-4831-90a5-cb50c1799caf"], Cell[BoxData[ GraphicsBox[{{{}, { {RGBColor[0, 1, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7F8s2GUqa3d1P1TAwWj//OvlzyUcIFwOh2SX V/dD3dShfAGHi8fnPqi7ZQ7lizgceTy1we+8PZQv4VAZm/LkzFYnKF/GwcT7 1R7Bk+5QvoJDVmtOGHefL5Sv5CC9aGZ/tWkQlK/iMEt0z9yb98KgfDWHzqft ir05MVC+hoPKJKuANIVUKF/LQSj0xASTqkwoX8fBZU/WQmbVAihfz4EnsYfD gr0QyjdwWLQ1WEV6XSmUb+igPulmM8u7KijfyGFWisRyziX1UL6xg4a0T2Dx qkYo38RhmsvSNzpyzVC+qcNnzsBZ++B8M4dTdwQeFwU1QfnmDrfYJqUfdIPp t3BIPP7pyCSdBijf0mFSXbEPQ2wtlG/lsCXgdf7/DTD3WDucSOs9unEezP02 DgrfT33ZaQLzv61Dw9mpf5z+OByA8O0cGHTZuk5Ny4Ty7R0evOOX7ZuWC+U7 ONxYxLXp27ciCL/BwYHDbNEEi9JSqLyjA4NS8u/e8mKovKODwZynfz+qw+Sd HDSEHWZ9nFMFlXdyaDC/M0XIqwYq7+zwwCxjktPCcqi8s0OCSXtDg34GVN7F oaHZ8eOr735QeRcHhv5Vi1+3uUPlXR0YHlvpL2uLhvivwdXhwge55AoBmP/d HBISNjdnv66Eyrs5nJi4e9qMM7DwdXdw8E2cy3W7zQEATwvJ5w== "]]}, { {RGBColor[0, 1, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[0, 1, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7DtFvV5bcqkegAo4ZJyrUIn9qAflczg4zf66 4giXOZQv4PDF0mimaaEllC/iEDN/hbLIFwcoX8Ihys4gzz/SHcqXcbgz6/mb ul4fKF/B4cRj+YRHMoFQvpJD3ImDWVtYQ6B8FYdV/NsaGaLCoHw1B42f31oO lURA+RoOV4SCk5U/B0H5Wg4PznvtSzIJhvJ1HAwYdy0NNPaD8vUcCm5mndjV GgrlGzjMaD3pLmbpBeUbOjRMrj/EIKoE5Rs5POjUUr/RZ+0A4Rs7FAivy9/6 zBPKN3F4YPm7Z2Z3IJRv6pBgtm+7vLwXlG/mwPBl4n7R+WZQvjmQLzhdsJYD yrdwYIhL/+k9mRvKt3RoqHks279SH8q3cmC4Waa00soXyge6w26rx98TplC+ jYMD+/P1BvsdoXxbB4cPsdLbDsDC387hwekj1y1ZYeFj78BgfedUrKEOVL2D AwOf4uuawy4QfgOQXztxaphpAFTe0eHAwpkWabnxUHlHh4RSZu+A8nCovJND w2L3TndOW4j5DU4OD7TK35lHx0Ltc3ZQEOQobbCIh8o7OzhIiHzxnOYElQfa q2LgmNGrAZV3cTjQLHBBNDIaKu/qwGCikfGtJgAqD+TP8+w4YK4PlXdzYDjJ r/L+hAHUfW4OBxYUixaegbnf3UEh6OWCs74JDgAqHr2R "]]}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[1, 0, 0], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}, {{}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6], PointBox[CompressedData[" 1:eJxTTMoPSmViYGDQA2IQDQEf7G215D4GCCgegAo4NGm0bmE9qwblczgcEp6s tumcAZQv4DDjhdnxyt8wvoiD3AqH9VX65lC+hAOPONsM9tsOUL6MQ59366VX H12gfAUHqaAs1WPdnlC+ksMV88ZrtrF+UL6KwzKpDz9NBAKhfDWHa6e2qeWc CoLyNRzetN0rj/wP06/lkPDT8UOXpheUr+PAYKwfz/XQEcrXc1DYet3D9hvM fAOHBPuSRa6ltlC+oYPDh07hZlYNBwjfyIFBhlvD7qMblG/scGPvH+79ywOg fBMHhkv7lq80CIHyTR0SZL3Wz/jlA+WbOTgoCbaqMZtD+UD6yVsG72sMUPss HBjcFwt7PJeB8i2B6u7E7/020x7Ct3JI2HvN/racM1S/tQNDRq/Dw8I/+yF8 G4cGuZwr714pQ+VtHRr+rdllvtkXap6dw4EHFordqhFQvj1Q3ZQfezlkoXwH hwaTbZJLPltA9Dc4ODgs/JzPaeQNNc/RYUGvzq+vU+Og8kC+Q/mCzfURUHkn B4bd1lErphlCzGtwcjgQs7bz1z2Yfc4ODwQbM9urIqHyQH/YCGoXN6hB5V0c GHpqN/n+0Yaa7+Jw4HPJT97SUKi8KzD++nwabT2g+oF8FQcz8yB5qDwwXr5F HpMOUYPqB/KrawrjbGDx5e5w4Hjo4v/7Qx0AUpfCdA== "]]}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}, { {RGBColor[0, 0, 1], PointSize[0.012833333333333334`], AbsoluteThickness[ 1.6]}, {}}}, {{}, {}}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{ FormBox["\"Day\"", TraditionalForm], FormBox["\"Residual\"", TraditionalForm]}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImageMargins->0., ImageSize->Automatic, ImageSizeRaw->Automatic, Method->{ "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 46.}, {-452.6295364954203, 731.3801829911899}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.7963433464858665`*^9, 3.796572310048912*^9, {3.7966004020221643`*^9, 3.7966004297406034`*^9}, 3.796600468518628*^9, 3.7966021653238816`*^9, 3.796677634588855*^9, 3.796679965777602*^9}, CellLabel->"Out[59]=",ExpressionUUID->"ab060488-dd4b-456e-9b4c-8a640ad599f8"] }, Open ]], Cell["\<\ There are tests for residuals to determine randomness and hence good fit. \ However, we will stop here and leave it to respective teachers to pursue this.\ \>", "Text", CellChangeTimes->{{3.7941045649359126`*^9, 3.794104585680724*^9}, { 3.7941049483358917`*^9, 3.7941049511040325`*^9}, {3.794134943502084*^9, 3.7941349897596025`*^9}},ExpressionUUID->"86a48baf-1bb0-4030-a4c9-\ 7b23b252f588"] }, Open ]] }, Open ]] }, WindowSize->{1938, 1478}, WindowMargins->{{121, Automatic}, {Automatic, 82}}, Magnification:>1.6 Inherited, FrontEndVersion->"12.0 for Microsoft Windows (64-bit) (April 8, 2019)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[580, 22, 215, 2, 106, "Section",ExpressionUUID->"d1a12fff-6fe5-4de4-9342-30d4d8c3c001"], Cell[798, 26, 427, 10, 93, "Text",ExpressionUUID->"c0e6c5c9-d06f-4ec6-8519-7f04d268eb65"], Cell[1228, 38, 1302, 21, 306, "Text",ExpressionUUID->"b6f7e04d-e34c-477c-9c41-0ea28fe46a13"], Cell[CellGroupData[{ Cell[2555, 63, 165, 3, 70, "Subsubsection",ExpressionUUID->"e3926233-e6a5-4b43-bb8b-ab09c64eb187"], Cell[2723, 68, 687, 11, 91, "Text",ExpressionUUID->"38eb0584-f837-4ee5-93f8-6cfaf8709fb2"], Cell[3413, 81, 266, 4, 55, "Text",ExpressionUUID->"4a37ba2c-d82b-49b5-9507-e42ad2ea099a"], Cell[3682, 87, 4636, 116, 136, "Input",ExpressionUUID->"21d3355e-99f0-41c6-8b49-9bf8edd8e0a7"], Cell[CellGroupData[{ Cell[8343, 207, 1335, 38, 76, "Input",ExpressionUUID->"2d09cb0e-9908-4bd4-ae63-98eb47fdfbe5"], Cell[9681, 247, 1561, 38, 378, "Output",ExpressionUUID->"c0c22750-9e71-4d25-a9ab-351db8cb18e4"] }, Open ]], Cell[11257, 288, 281, 6, 55, "Text",ExpressionUUID->"e720de2a-8633-4351-bd34-ee79c3c2a378"], Cell[11541, 296, 497, 11, 45, "Input",ExpressionUUID->"7ad27dc3-b5db-4f27-a464-1a43384f7f4e"], Cell[12041, 309, 220, 4, 55, "Text",ExpressionUUID->"37f1f397-2d94-442a-b463-858861ee8e5a"], Cell[CellGroupData[{ Cell[12286, 317, 1303, 32, 45, "Input",ExpressionUUID->"30442564-86c9-44ec-84ef-d6e9168cf1b1"], Cell[13592, 351, 3722, 71, 378, "Output",ExpressionUUID->"afe0cda1-6f18-4e2d-9875-2d029adb6af2"] }, Open ]], Cell[CellGroupData[{ Cell[17351, 427, 322, 6, 45, "Input",ExpressionUUID->"ef58421e-e8ff-4d89-b8d5-99c1fc606830"], Cell[17676, 435, 2361, 53, 378, "Output",ExpressionUUID->"875a6154-b6b9-47a2-9f34-e8b6ecaee6b1"] }, Open ]], Cell[CellGroupData[{ Cell[20074, 493, 331, 8, 45, "Input",ExpressionUUID->"62945b84-367d-40f0-9990-8b1a1af39cc9"], Cell[20408, 503, 523, 8, 51, "Output",ExpressionUUID->"8f3fd361-fd81-4ec4-9e17-44e9f29e2d7a"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[20980, 517, 218, 4, 85, "Subsection",ExpressionUUID->"159a5a9f-67ee-4463-9ff9-c43575d7db64"], Cell[CellGroupData[{ Cell[21223, 525, 313, 5, 70, "Subsubsection",ExpressionUUID->"807992b4-f981-4579-9f74-2205b944c34d"], Cell[21539, 532, 464, 8, 45, "Input",ExpressionUUID->"332e3c69-25f2-4a21-8b7f-2744afeb9914"], Cell[CellGroupData[{ Cell[22028, 544, 923, 25, 45, "Input",ExpressionUUID->"0da170cb-c6c9-42e8-9cfd-a35e292fb381"], Cell[22954, 571, 1308, 23, 77, "Output",ExpressionUUID->"311cc276-1d7d-4374-bee6-3e1868d610fb"] }, Open ]], Cell[24277, 597, 933, 26, 45, "Input",ExpressionUUID->"ba9fd9ab-62ba-499e-938e-4ebbc7699d16"], Cell[CellGroupData[{ Cell[25235, 627, 659, 14, 45, "Input",ExpressionUUID->"12589fb3-23eb-4a5c-8739-15ea88c01419"], Cell[25897, 643, 1460, 24, 57, "Output",ExpressionUUID->"a349a63c-d311-4141-b8dc-d9098a26077d"] }, Open ]], Cell[CellGroupData[{ Cell[27394, 672, 327, 6, 45, "Input",ExpressionUUID->"f71f588b-e901-488a-9dad-d507ff9a9cd2"], Cell[27724, 680, 983, 14, 51, "Output",ExpressionUUID->"8fc83d35-af55-4a5b-a338-544f4cc5f07d"] }, Open ]], Cell[CellGroupData[{ Cell[28744, 699, 293, 6, 45, "Input",ExpressionUUID->"2289d283-7d95-4910-9bf1-ad39f64d27c1"], Cell[29040, 707, 592, 8, 51, "Output",ExpressionUUID->"aa0ab14f-99c0-49e9-9c11-f9a0336d981c"] }, Open ]], Cell[CellGroupData[{ Cell[29669, 720, 588, 12, 45, "Input",ExpressionUUID->"46cba15b-4db8-427f-82ec-dfd4b1dff609"], Cell[30260, 734, 1437, 23, 79, "Output",ExpressionUUID->"15a20f2b-bd1e-4960-8a65-8f980c0cfd61"] }, Open ]], Cell[CellGroupData[{ Cell[31734, 762, 324, 7, 45, "Input",ExpressionUUID->"41e07c82-2235-4ebb-bac9-50c84dda0761"], Cell[32061, 771, 948, 13, 51, "Output",ExpressionUUID->"943f58cd-f445-4170-a9e0-eac8fbd33d08"] }, Open ]], Cell[CellGroupData[{ Cell[33046, 789, 1475, 39, 76, "Input",ExpressionUUID->"2eb005c5-d575-4762-8dfc-4da78a9196c1"], Cell[34524, 830, 18616, 322, 378, 10847, 196, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"70df768f-5063-4a23-91e7-ecb03ee903e2"] }, Open ]], Cell[CellGroupData[{ Cell[53177, 1157, 316, 5, 45, "Input",ExpressionUUID->"eb959f69-2aa8-4d36-8052-5ca7b17aad9c"], Cell[53496, 1164, 12990, 232, 378, "Output",ExpressionUUID->"479a8299-f169-4b74-9b85-45af97e66c4d"] }, Open ]], Cell[CellGroupData[{ Cell[66523, 1401, 738, 15, 45, "Input",ExpressionUUID->"4adc4653-18be-44f1-a933-ee4239f372bd"], Cell[67264, 1418, 455775, 7711, 581, "Output",ExpressionUUID->"5b36a7f3-dccc-4915-be2a-2456af931585"] }, Open ]], Cell[CellGroupData[{ Cell[523076, 9134, 1288, 31, 76, "Input",ExpressionUUID->"64159546-5af6-4fa9-a259-d00ad4ae307d"], Cell[524367, 9167, 2941, 66, 367, "Output",ExpressionUUID->"bd54e854-cef7-414e-a49d-a143397fa886"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[527357, 9239, 337, 5, 70, "Subsubsection",ExpressionUUID->"b40d5a92-de50-4887-b245-3c892a05f42f"], Cell[527697, 9246, 465, 8, 45, "Input",ExpressionUUID->"b1ce087e-03f9-4b85-9809-b398104b05da"], Cell[CellGroupData[{ Cell[528187, 9258, 1073, 29, 45, "Input",ExpressionUUID->"7445eef1-4668-468d-af04-685461ff7cbc"], Cell[529263, 9289, 1921, 44, 97, "Output",ExpressionUUID->"333ec45b-17e1-4685-84fc-458fac6bb9a3"] }, Open ]], Cell[531199, 9336, 1006, 26, 45, "Input",ExpressionUUID->"9d0f5da2-981d-4714-aeee-8263b60048d0"], Cell[CellGroupData[{ Cell[532230, 9366, 786, 17, 45, "Input",ExpressionUUID->"f7e212de-2bd0-4ca9-8c36-8d2823fb1e4f"], Cell[533019, 9385, 1481, 24, 51, "Output",ExpressionUUID->"1b0f8254-02c5-42f5-aa98-7f3a3e7f4be7"] }, Open ]], Cell[CellGroupData[{ Cell[534537, 9414, 325, 6, 45, "Input",ExpressionUUID->"4bed0825-1b46-4f40-9a9b-2e47fd98d26f"], Cell[534865, 9422, 920, 13, 51, "Output",ExpressionUUID->"21214d33-dd78-4e3d-b419-6cb01e9f50bd"] }, Open ]], Cell[CellGroupData[{ Cell[535822, 9440, 294, 6, 45, "Input",ExpressionUUID->"16298422-ac0e-445a-8493-4f3db0b9ed69"], Cell[536119, 9448, 565, 8, 51, "Output",ExpressionUUID->"e70bdebb-6c1a-475a-8c9e-2ed7b030dd4c"] }, Open ]], Cell[CellGroupData[{ Cell[536721, 9461, 623, 12, 45, "Input",ExpressionUUID->"483ca2b2-3881-4ba1-af4a-38161a4d4f16"], Cell[537347, 9475, 1504, 26, 79, "Output",ExpressionUUID->"07a73bcd-cecc-4c6a-9b6e-1fbc0262aabb"] }, Open ]], Cell[CellGroupData[{ Cell[538888, 9506, 298, 6, 45, "Input",ExpressionUUID->"951ddf63-eead-4e2c-af44-3fb5bb1e62af"], Cell[539189, 9514, 870, 12, 51, "Output",ExpressionUUID->"605fb9fc-5930-4743-b1f6-50774daf3477"] }, Open ]], Cell[CellGroupData[{ Cell[540096, 9531, 718, 18, 45, "Input",ExpressionUUID->"02197ddc-5574-47af-a0b9-4c51dda794a2"], Cell[540817, 9551, 4407, 89, 378, "Output",ExpressionUUID->"456ea7b2-24b2-43c5-ba56-7511b108fbd1"] }, Open ]], Cell[CellGroupData[{ Cell[545261, 9645, 1423, 39, 76, "Input",ExpressionUUID->"648f7381-1300-42d1-92ab-d2cfd1a8eb55"], Cell[546687, 9686, 4308, 86, 378, "Output",ExpressionUUID->"1881db66-c004-4cff-b428-af5d6d66d58f"] }, Open ]], Cell[CellGroupData[{ Cell[551032, 9777, 318, 5, 45, "Input",ExpressionUUID->"e7eed1ea-5fcb-4fc2-b5ac-05d317bee6ef"], Cell[551353, 9784, 5441, 108, 378, "Output",ExpressionUUID->"90798b6a-9909-4b73-aa33-691e84e2f5a2"] }, Open ]], Cell[CellGroupData[{ Cell[556831, 9897, 1286, 31, 76, "Input",ExpressionUUID->"0d64d4b2-bb1c-4180-a093-50033253e4d7"], Cell[558120, 9930, 2939, 66, 367, "Output",ExpressionUUID->"7c6df6ef-9846-4c73-9b91-ad07589b3388"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[561108, 10002, 436, 6, 70, "Subsubsection",ExpressionUUID->"ecc7d4b4-dd83-4b4e-832c-3dff28264389"], Cell[561547, 10010, 465, 8, 45, "Input",ExpressionUUID->"2c6d4c04-cc77-4e12-9911-460d3a50ab7f"], Cell[CellGroupData[{ Cell[562037, 10022, 1278, 36, 45, "Input",ExpressionUUID->"ae78d813-35b6-453b-9da8-1eeb18459efb"], Cell[563318, 10060, 20043, 360, 117, "Output",ExpressionUUID->"d25e344e-9388-4451-8f14-98ed23b1d92c"] }, Open ]], Cell[CellGroupData[{ Cell[583398, 10425, 305, 7, 45, "Input",ExpressionUUID->"e87f1920-3eda-4b85-ac41-cc29c28b31c4"], Cell[583706, 10434, 19967, 361, 117, "Output",ExpressionUUID->"8a86a9f8-0b59-4717-8a0f-4e70190fb7f5"] }, Open ]], Cell[CellGroupData[{ Cell[603710, 10800, 1465, 37, 76, "Input",ExpressionUUID->"bbbc40eb-fdcb-43cc-bca4-3816c0119d79"], Cell[605178, 10839, 2976, 57, 645, "Output",ExpressionUUID->"514ff7ff-9e3c-4230-916d-bc8717b81195"], Cell[608157, 10898, 446, 8, 37, "Message",ExpressionUUID->"be6d91ac-ba72-4f2b-b8d6-566f1013ba67"] }, Open ]], Cell[608618, 10909, 274, 6, 55, "Text",ExpressionUUID->"2e2a95ac-f17f-44b5-b252-ff8bf2a4abf0"], Cell[608895, 10917, 1270, 31, 45, "Input",ExpressionUUID->"e9b4301c-7898-4e0b-a322-b9fcda0ab538"], Cell[610168, 10950, 296, 6, 55, "Text",ExpressionUUID->"7860877e-2a68-4caf-8d3d-efa088e660c2"], Cell[610467, 10958, 274, 6, 55, "Text",ExpressionUUID->"548f40fa-01fd-4cbf-b594-eb73830b8074"], Cell[CellGroupData[{ Cell[610766, 10968, 2076, 37, 76, "Input",ExpressionUUID->"0c322af1-dd0f-41bc-83d8-7b92bc7f7507"], Cell[612845, 11007, 970, 18, 70, "Message",ExpressionUUID->"3f03fad1-8b02-4619-98dd-dfcf59c41fff"], Cell[613818, 11027, 956, 19, 84, "Output",ExpressionUUID->"d8afb5c4-ff7c-41ba-b53d-4c4c147854ff"] }, Open ]], Cell[CellGroupData[{ Cell[614811, 11051, 295, 6, 45, "Input",ExpressionUUID->"b8e440ed-8f29-4e78-91ff-076837aa593c"], Cell[615109, 11059, 537, 8, 51, "Output",ExpressionUUID->"60f3e944-9e05-416c-847a-2ef18031c0d9"] }, Open ]], Cell[CellGroupData[{ Cell[615683, 11072, 472, 10, 45, "Input",ExpressionUUID->"8a97a96b-79fb-4610-b7b6-b24866862391"], Cell[616158, 11084, 1005, 14, 51, "Output",ExpressionUUID->"c04dc530-fd08-471c-a3a7-f9626fdc6076"] }, Open ]], Cell[CellGroupData[{ Cell[617200, 11103, 1661, 44, 76, "Input",ExpressionUUID->"3d0444df-e06e-4290-a677-80e364850064"], Cell[618864, 11149, 17666, 334, 117, "Output",ExpressionUUID->"5fa0e8a5-8902-40cc-b23c-6c4be633eddf"] }, Open ]], Cell[CellGroupData[{ Cell[636567, 11488, 1379, 39, 76, "Input",ExpressionUUID->"66caf645-9a56-4edc-904f-062628de23ea"], Cell[637949, 11529, 4318, 87, 378, "Output",ExpressionUUID->"0fdd75e9-618f-4bfe-b602-3af191b6af0c"] }, Open ]], Cell[CellGroupData[{ Cell[642304, 11621, 346, 6, 45, "Input",ExpressionUUID->"39f9a2df-f3fc-4208-89f6-cf614e83ff7c"], Cell[642653, 11629, 5442, 108, 378, "Output",ExpressionUUID->"728d2696-58f0-4c9f-be22-4660f860ad42"] }, Open ]], Cell[CellGroupData[{ Cell[648132, 11742, 1287, 31, 76, "Input",ExpressionUUID->"b511c778-8d0a-42fb-bda6-103e60080445"], Cell[649422, 11775, 3044, 67, 367, "Output",ExpressionUUID->"5afa77bd-db55-4e92-85e2-b931a35de696"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[652515, 11848, 545, 11, 110, "Subsubsection",ExpressionUUID->"3aaa3b63-3272-4196-ad1c-e7483d57e846"], Cell[653063, 11861, 2482, 43, 664, "Text",ExpressionUUID->"ff0fd17d-e8ce-4dd4-82ff-8521f4f382de"], Cell[CellGroupData[{ Cell[655570, 11908, 346, 5, 45, "Input",ExpressionUUID->"612f7f7e-1886-4c3c-abc2-e749a550fd2d"], Cell[655919, 11915, 759, 10, 51, "Output",ExpressionUUID->"dab8ae9d-b82e-4af0-b2d9-0225943a87f3"] }, Open ]], Cell[CellGroupData[{ Cell[656715, 11930, 350, 5, 45, "Input",ExpressionUUID->"c69507cc-814d-44eb-bf31-24cb10bd37a3"], Cell[657068, 11937, 760, 10, 51, "Output",ExpressionUUID->"a52fdfed-2e3a-459a-9e7d-633f45a94c98"] }, Open ]], Cell[CellGroupData[{ Cell[657865, 11952, 278, 4, 45, "Input",ExpressionUUID->"eef6f53d-71f8-47e2-94ae-f544c72d50dd"], Cell[658146, 11958, 747, 10, 51, "Output",ExpressionUUID->"5cafcc66-e329-42d6-95d4-2a8b46ce4261"] }, Open ]], Cell[658908, 11971, 627, 11, 55, "Text",ExpressionUUID->"b54595dc-78e9-414e-b2ac-148effecc9f3"], Cell[CellGroupData[{ Cell[659560, 11986, 487, 10, 45, "Input",ExpressionUUID->"5bf7c002-9294-4571-8872-eadecec2b2fa"], Cell[660050, 11998, 952, 14, 51, "Output",ExpressionUUID->"50317c96-5c7e-40d8-ae2a-070eccf040c1"] }, Open ]], Cell[CellGroupData[{ Cell[661039, 12017, 996, 25, 76, "Input",ExpressionUUID->"c19b15eb-1873-4b82-a46e-2b9f706a78ec"], Cell[662038, 12044, 834, 17, 71, "Output",ExpressionUUID->"b0394ad0-c2f3-40b2-bb69-c8691804d3f1"] }, Open ]], Cell[662887, 12064, 375, 8, 55, "Text",ExpressionUUID->"f74c70c8-6b51-40c9-b91d-679fce9f863c"], Cell[CellGroupData[{ Cell[663287, 12076, 745, 13, 45, "Input",ExpressionUUID->"2aea099b-960f-4a39-b4b0-56510b84dfca"], Cell[664035, 12091, 1054, 15, 51, "Output",ExpressionUUID->"cd073f78-42ad-403e-ba41-c0554eb2a467"] }, Open ]], Cell[CellGroupData[{ Cell[665126, 12111, 802, 14, 45, "Input",ExpressionUUID->"468a4762-c7ef-49a3-93d7-07ab8efed1dd"], Cell[665931, 12127, 757, 11, 51, "Output",ExpressionUUID->"b9607db3-3f3d-4eeb-a95f-8b3ff50fed38"] }, Open ]], Cell[CellGroupData[{ Cell[666725, 12143, 817, 14, 45, "Input",ExpressionUUID->"eaa3e56c-08ea-47f2-9884-f23246d98f6c"], Cell[667545, 12159, 830, 12, 51, "Output",ExpressionUUID->"00dbac20-0b9a-4d1d-9a09-84bc8b75e736"] }, Open ]], Cell[668390, 12174, 1369, 22, 234, "Text",ExpressionUUID->"0c0e32fb-95d7-4be9-9e71-b99787dd1089"], Cell[CellGroupData[{ Cell[669784, 12200, 302, 5, 45, "Input",ExpressionUUID->"e36744e6-2a92-4805-9647-dba455b93a30"], Cell[670089, 12207, 709, 13, 51, "Output",ExpressionUUID->"705ff308-ccaa-473e-9ed3-4ff440b9fc66"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[670859, 12227, 327, 5, 85, "Subsection",ExpressionUUID->"6ee1a0a6-1c15-4972-b79a-4bfd17d4f04b"], Cell[671189, 12234, 832, 13, 127, "Text",ExpressionUUID->"6d1fdcfb-95e4-4f13-8c48-545211012dad"], Cell[CellGroupData[{ Cell[672046, 12251, 658, 13, 45, "Input",ExpressionUUID->"a026a6f1-b5fa-4ee6-8ecb-4e25b90fa2cc"], Cell[672707, 12266, 16065, 285, 400, "Output",ExpressionUUID->"62f8313c-9e3f-4512-81ba-2cd123caa272"] }, Open ]], Cell[688787, 12554, 298, 7, 55, "Text",ExpressionUUID->"590572f5-167f-4c8e-80ae-23d89abdc12d"], Cell[CellGroupData[{ Cell[689110, 12565, 1286, 31, 76, "Input",ExpressionUUID->"99d7a4b9-55df-4cd3-8c45-a1db0ece2277"], Cell[690399, 12598, 2499, 60, 367, "Output",ExpressionUUID->"8d997634-92bd-423d-9e86-d9a3cbf07f07"] }, Open ]], Cell[692913, 12661, 596, 10, 91, "Text",ExpressionUUID->"a0e06500-fca4-4e88-ba9a-cf3e8acd6ceb"], Cell[CellGroupData[{ Cell[693534, 12675, 957, 21, 45, "Input",ExpressionUUID->"0a30649c-a7a3-4947-859f-f44677e44949"], Cell[694494, 12698, 2178, 42, 112, "Output",ExpressionUUID->"02237a46-ba9f-4445-9e97-f3d8730e76b8"] }, Open ]], Cell[CellGroupData[{ Cell[696709, 12745, 396, 6, 45, "Input",ExpressionUUID->"7f58c63d-541a-423b-bb23-0cbe12230401"], Cell[697108, 12753, 5465, 154, 385, "Output",ExpressionUUID->"039d78b8-ec35-4977-bf0c-77ef6a7798eb"] }, Open ]], Cell[702588, 12910, 359, 7, 55, "Text",ExpressionUUID->"6b73b5fe-5ac6-4cb9-912a-a0054ef9707f"], Cell[CellGroupData[{ Cell[702972, 12921, 192, 2, 45, "Input",ExpressionUUID->"5216c9d6-fad3-4507-ad6a-6d70d1d91665"], Cell[703167, 12925, 2326, 55, 367, "Output",ExpressionUUID->"9bcbaac7-2ed2-4734-98bb-d13f87ea3f75"] }, Open ]], Cell[CellGroupData[{ Cell[705530, 12985, 1081, 22, 45, "Input",ExpressionUUID->"7169789e-d493-45f5-9184-6211b44d3edb"], Cell[706614, 13009, 2156, 42, 112, "Output",ExpressionUUID->"713be359-e018-4e3f-b77b-2cdc12278450"] }, Open ]], Cell[CellGroupData[{ Cell[708807, 13056, 372, 6, 45, "Input",ExpressionUUID->"64e5c9d8-5c6d-4348-acee-86dd16e3ef6e"], Cell[709182, 13064, 5215, 151, 385, "Output",ExpressionUUID->"e05e9759-d584-45d6-a0e8-fbba03cd1803"] }, Open ]], Cell[CellGroupData[{ Cell[714434, 13220, 349, 7, 45, "Input",ExpressionUUID->"775568bf-33b8-4831-90a5-cb50c1799caf"], Cell[714786, 13229, 4648, 98, 367, "Output",ExpressionUUID->"ab060488-dd4b-456e-9b4c-8a640ad599f8"] }, Open ]], Cell[719449, 13330, 407, 7, 55, "Text",ExpressionUUID->"86a48baf-1bb0-4030-a4c9-7b23b252f588"] }, Open ]] }, Open ]] } ] *)