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    Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models
    Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.
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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...
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    2015-Zhang-EtAl-On the Selection of ODE Models with Application to Predator-Prey Dynamical Models
    We propose a computationally inexpensive approach that employs statistical estimation of the full model, followed by a combination of a least squares approximation (LSA) and the adaptive Lasso.
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    2004-Mitchell-von Meien-Krieger-Dalsenter-A review of recent developments in modeling of microbial growth kinetics
    Mathematical models are important tools for optimizing the design and operation of solid-state fermentation (SSF) bioreactors. Such models must describe the kinetics of microbial growth.
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    2015-Heiko_Enderling-Integrating experimental data to calibrate quantitative cancer models
    For quantitative cancer models to be meaningful and interpretable the number of unknown parameters must be kept minimal. We focus on a tumor hierarchy of cancer stem and progenitor non-stem cancer...
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    2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations
    In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.
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    1986-Cook-Witten-One-dimensional linear and logistic harvesting models
    Some of the results in the literature on simple one-dimensional, density dependent, discrete and continuous models-with and without harvesting-are reviewed.
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    1-067-ModelingWithSigmoidCurves-ModelingScenario
    The assignment considers two well-known models of population growth, Verhulst-Pearl and Gompertz models, for which qualitative and quantitative analyses are provided. The graphs of the...
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    1-114-EarthClimate-ModelingScenario
    In this modeling scenario, we investigate the Earth's climate using a zero-dimensional energy balance model. Energy balance models are climate models that try to predict the average surface...
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    6-018-ExploringSIRModel-ModelingScenario
    Students will transform, solve, and interpret Susceptible Infected Recovered (SIR) models using systems of differential equation models. The project is progressively divided into three parts to...
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    A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
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    The impact of diversifying and humanizing science role models on student attitudes and interest in science careers
    We introduced diverse and humanized scientist role models into data literacy instruction and quantified changes in student attitudes towards science. We found that the impact of science role models...
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    2011-Nakul-Chitnis-Introduction to Mathematical Epidemiology - Deterministic Compartmental Model
    Deterministic compartmental models form the simplest models in the mathematical study of infectious disease dynamics. They assume that a population is homogenous (all people are the same) and the...
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    2002-Nelson-Perelson-Mathematical analysis of delay differential equations models of HIV-1 infection
    We develop and analyze a set of models that include intracellular delays, combination antiretroviral therapy, and the dynamics of both infected and uninfected T cells.
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    Discrete Math Modeling with Biological Applications (Course Materials)
    These are the materials for Math 214 offered at Rhodes College.
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Chemistry
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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    Learn biotechnology, biophysics and business through scientific thinking and innovation
    Scientific, leadership and innovation skills are also an integral framework of the curriculum. All of them together or individually are important for enhancement of knowledge, critical thinking,...
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    Module 1: Discovering Your Family's “Botanical History.”
    We all know that understanding family history is important to understanding our place in the world. To help students learn to appreciate plants, this activity will connect family memories to...
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    BioTA Podcast Episode #34 Biofilms Podcast Overview
    BioTA Episode #34: Biofilms Authors: Seth Higbee1, Pankaj Mehrotra2, J. Phil Gibson1 Prokaryotes are often taught to us as being free living single-celled organisms that lack membrane bound...
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    2015-European_Bioinformatics_Institute-Bio-Models-Database
    Bio Models Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are...
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