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  1. 2017-Adler-Mathematically Modeling Asthma-SIAM

    09 Oct 2017 | Potential Scenario Ideas

    Adler, Fred. 2017 Mathematicslly Modeling Asthma. Blog Posting.  3 pp. https://sinews.siam.org/Details-Page/mathematically-modeling-asthma . Accessed 9 October 2017. From the article, “Asthma—like diabetes, heart disease, and cancer—does not have a single initiating cause,...

  2. Experiences with Teaching Differential Equations in Context Using Modeling

    25 Sep 2017 | Presentations

    Brian Winkel, Director SIMIODE, gave a talk at Department of Mathematics, Seminar, at Clarkson University, Potsdam NY USA on 28 September 2017.Title: Experiences with Teaching Differential Equations in Context Using ModelingAbstract: We share experiences and examples of using modeling to...

  3. Dabbling in Differential Equation Modeling

    25 Sep 2017 | Presentations

    Brian Winkel, Director of SIMIODE, spoke on 27 September 2017 at a Noon gathering at the SUNY Potsdam School of Education and Professional Studies, Disciplined Inquiry in Education Seminar Series, organized by Dr. Sergei Abramovich School of Educaiton, SUNY Potsdam NY USA.Title: ...

  4. Ramsay-From Data To Differential Equations

    23 Sep 2017 | Potential Scenario Ideas

    Ramsay, Jim.  From Data To Differential Equations. Presentation. 52 slides.Themes:Differential equations are powerful tools for modeling data.There are new methods for estimating differential equations directly from data.Some examples are offered, drawn from chemical engineering and...

  5. 2011-CaoEtAl-Robust Estimation for Ordinary Differential Equation Models

    23 Sep 2017 | Potential Scenario Ideas

    Cao, J., L. Wang, J. Xu. 2011. Robust estimation for ordinary differential equation models. Biometrics.  67(4): 1305-13.Abstract: Applied scientists often like to use ordinary differential equations (ODEs) to model complex dynamic processes that arise in biology, engineering, medicine and...

  6. 2015-Enderling-Integrating experimental data to calibrate quantitative cancer models

    23 Sep 2017 | Potential Scenario Ideas

    Enderling, Heiko. 2015. Integrating experimental data to calibrate quantitative cancer models . Preprint.  3 pp.Abstract:  For quantitative cancer models to be meaningful and interpretable the number of unknown parameters must be kept minimal. Experimental data can be utilized to...

  7. 2016-ManheimEtAl -Improving Decision Support for Infectious Disease Prevention and Control

    23 Sep 2017 | Potential Scenario Ideas

    David Manheim, David, Margaret Chamberlin, Osonde A. Osoba, Raffaele Vardavas, Melinda Moore. 2017.  Improving Decision Support for Infectious Disease Prevention and Control:  Aligning Models and Other Tools with Policymakers’ Needs. Rand Corporation. 51...

  8. 2017Krueger-Parameter Estimation Methods in Microbioloogy

    21 Sep 2017 | Potential Scenario Ideas

    Krueger, Justin M. 2017. Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology. PhD Thesis. 109 pp.Abstract: The compositions of in-host microbial communities (microbiota) play a significant role in host health, and a better understanding of the...

  9. 2012DeboeckEtAl- Modeling Long-Term Growth to Short-Term Fluctuations

    21 Sep 2017 | Potential Scenario Ideas

    Deboeck,  Pascal R. , Jody S. Nicholson, C. S. Bergeman, Kristopher J. Preacher. 2012. From Modeling Long-Term Growth to Short-Term Fluctuations: Differential Equation Modeling is the Language of Change. Prepring from the 202 Proceedings of the International Meeting of the Psychometric...

  10. WangEtAl-Estimating Mixed-Effects Differential Equation Models

    21 Sep 2017 | Potential Scenario Ideas

    Wang, L., J. Cao 1 , J. O. Ramsay, D. M. Burger , C. J. L. Laporte, and J. K. Rockstroh. Estimating Mixed-Effects Differential Equation Models. Paper. 30 pp. Abstract: Ordinary differential equations (ODEs) are popular tools for modeling complicated dynamic systems in many areas. When multiple...

  11. 2008-BrewerEtAl-Fitting ordinary differential equations to short time course data

    21 Sep 2017 | Presentations

    Brewer, D., M. Barenco, R. Callars, M. Hubank, and J. Stak. 2008. Fitting ordinary differential equations to short time course data. Phil. Trans. R. Soc. A. 366: 519–544.Abstract: Ordinary differential equations (ODEs) are widely used to model many systems in physics, chemistry,...

  12. 2002-dePills-Radunskaya-Parameter Estimation for Tumor-Immune ODE

    21 Sep 2017 | Potential Scenario Ideas

    de Pillis, L. G. and A. E. Radunskaya. 2002. Parameter Estimation for Tumor-Immune ODE System, 24 slides.This is a very thorough and complete introduction to estimating parameters for a simple differential equation model with attention to all the mathematical details necessary for success in...

  13. 2017-Bullard-Dice Activities That Motivate Differential Equation Models

    21 Sep 2017 | Potential Scenario Ideas

    Bullard, Floyd. 2017.  Dice Activities That Motivate Differential Equation Models Teaching Contemporary Mathematics.  The North Carolina School of Science and Mathematics . 7 pp.  https://www.ncssm.edu/uploads/files/330468432813721056-de-dice-activities.pdf .This document includes...

  14. 2006-LoydWodarz Drug Resistance in Acute Viral Infections

    18 Sep 2017 | Potential Scenario Ideas

    Loyd, Alun L. and Dominik Wodarz.  2006. Drug Resistance in Acute Viral Infections:  Rhinovirus as a Case Study.  Preprint. 21 pp. http://www4.ncsu.edu/~allloyd/pdf_files/resistance_preprint.pdf . Accessed 18 September 2017.Abstract:  The emergence and spread of drug...

  15. 1-066-T-USCensusModeling

    15 Sep 2017 | Modeling Scenarios

    The United States Census, conducted every 10 years, gives data on the United States population, that can be modeled with the exponential, logistic, or Gompertz functions. Analysis of the per-unit population growth leads to an understanding of the assumptions underlying each model. Parameters in...

  16. 1-066-S-USCensusModeling

    15 Sep 2017 | Modeling Scenarios

    The United States Census, conducted every 10 years, gives data on the United States population, that can be modeled.

  17. Wu-Mathematical Biology Models Using Experimental Data

    12 Sep 2017 | Potential Scenario Ideas

    Wu, Hulin.  Development of Mathematical Biology Models by Rigorously Using Experimental Data: Statistical Inverse Problems for Differential Equation Models. PowerPoint. 47 slides._ Inverse Problems and Methods for ODE Models_ Application Examples– Example 1: A Complex Influenza...

  18. 1994-Minton-Progression of Projectiles - Examples from Sports

    12 Sep 2017 | Potential Scenario Ideas

    Minton, Roland. 1994. A Progression of Projectiles - Examples from Sports. The College Mathematics Teacher. 28(5): 436-442.There is a progression of complexity and issues in projectile motion modeling from no rsistance, to resistance proportional to velocity, then to velocity...

  19. 2017-Liu-Hammer throwing parameter optimization model research based on flight dynamical differential equation

    12 Sep 2017 | Potential Scenario Ideas

     Liu, Jun. 2017. Hammer Throwing parameters optimization model research based on flight dynamical differential equation. 2016 National Convention on Sports Science of China.  Reprint. 4 pp.Abstract. With progress of times, sports techniques are also rapidly developing, in order to let...

  20. 2014-DoEtAl-Differential Equation Model for the Dynamics of Youth Gambling

    12 Sep 2017 | Potential Scenario Ideas

     Do, Tae Sug and Young S. Lee.  2014. A Differential Equation Model for the Dynamics of Youth Gambling. Osong Public Health Res Perspect. 2014 Aug; 5(4): 233–241.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215004/ . Accessed 11 September 2017.Objectives: We examine the dynamics...