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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)

    Keywords: biostatisticsR programming languageSwirl

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    Functional and structural analysis of Amylase activity
    This exercise was developed to allow students to apply the scientific method and use their knowledge of enzymes to investigate the relationship between enzyme activity and structure. Students...
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    Factor Structure Assessment of the Students Support Needs Scale-Augmented for African-American STEM Students
    Poster on the impact of a performance pyramid-based peer-led learning community on course knowledge at a Historically Black University. Presented at the 2021 BIOME Institute.

    Keywords: modelingSTEM education2021 BIOMEfactor structure

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    Cell Division and the Presence of a Growth Factor
    This module introduces exponential growth, the Michaelis-Menten, and Lineweaver-Burk equations in the context of understanding how growth factors influence cell division. It is intended for an...

    Keywords: exponential equationshyperbolic equationsCell StructureCell Growthgrowth factor

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    2005-DieboldEtAl-Modeling Bond Yields In Finance And Macroeconomics
    From a macroeconomic perspective, the short-term interest rate is a policy instrument under the direct control of the central bank. From a finance perspective, long rates are risk-adjusted averages...

    Keywords: financeinterest ratebond yieldmacroeconomics

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    Doubling Time of Tumors
    This module introduces the calculation of potential doubling time of tumorous cells in the context of understanding the growth of a population of the cells. It is intended for an introductory...

    Keywords: linear regressionRatiosCell StructureOpenStaxCell Growth

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    2017-GR_Gustafson-Differential Equations Course Materials
    There are many applications from compartment and cascade analysis, recycling brine tank, home heating with multiple rooms, chemostat, microbes, heartbeats, lidocaine, nutrient flow in an aquarium,...

    Keywords: chemostatmicrobesbiomassforecastingtransfercompartmentpesticidesearthquaketankheatinglidocainebrineheartbeatsnutrient flowaquariumelectric networkscircuitsloggingbuildingcascade

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    Food Chain Dynamics In A Simple Ecosystem
    In this lab, students will work with a simple algae/brine shrimp environment to learn about food chains and population dynamics.

    Keywords: ecologyecosystemsfood chainalgae

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    Food Chain Dynamics In A Simple Ecosystem
    In this lab, students will work with a simple algae/brine shrimp environment to learn about food chains and population dynamics.

    Keywords: ecologyecosystemsfood chain

    1958

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    2015-Doust-Saraj-The logistic modeling population having harvesting factor
    The present paper deals with the logistic equation having harvesting factor, which is studied in two cases constant and non-constant.

    Keywords: logisticharvestharvesting factor

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    Single Factor Analysis of Variance (ANOVA)
    This swirl lesson introduces students to theoretical and practical concepts about single-factor ANOVA analysis and an approach to conduct this type of analysis using R.

    Keywords: ANOVATukey HSD

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    Investigating Enzyme Structure and Function Through Model-Building and Peer Teaching in an Introductory Biology Course
    A foundational knowledge of the relationship between structure and function is critical to understanding how enzymes work. The seemingly invisible nature of these molecular interactions makes it...

    Keywords: structure-functionEnzymeallosteric regulationcompetitive inhibitionfeedback inhibitionnoncompetitive inhibitionproductsubstrate

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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    Students require a deep understanding of the central dogma before they can understand complex topics such as evolution and biochemical disorders. However, getting undergraduate biology students to...

    Keywords: Protein Structurecomputational modelingcentral dogmaplant leaf structurePhenotype/Genotype

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    1-002-IntegratingFactor-TechniqueNarrative
    We develop a strategy to solve first order differential equations by transforming one side of the equation to the derivative of a product of two functions, thereby making it easy to...

    Keywords: Integrating Factor

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    1-138-InnerEarDrugDelivery-ModelingScenario
    Students examine local drug delivery to the cochlea. The delivery system is modeled as a liquid mixing problem. Students formulate the differential equation, and solve the equation using separation...

    Keywords: concentrationdrug deliveryinner earcochleahearing loss

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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...

    Keywords: undergraduate researchANOVA

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    How to Find a Gene: Retrieving Information From Gene Databases
    A strong understanding of distinct gene components and the ability to retrieve relevant information from gene databases are necessary to answer a diverse set of biological questions. However, often...

    Keywords: NCBItranscriptiontranslationGene StructureGene databasesEnsembl

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    An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure
    Gene structure, transcription, translation, and alternative splicing are challenging concepts for many undergraduates studying biology. These topics are typically covered in a traditional lecture...

    Keywords: bioinformaticsGenome BrowsergenomicsRNAseqsplicingComputer ModelGene Structure

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    Exploring the Lytic and Lysogenic Life Cycles of Bacteriophages
    The goal of this lesson is to introduce students to the lytic and lysogenic cycles of T4 and lambda bacteriophages, respectively, using student-centered pedagogies. Bacteriophages are viruses that...

    Keywords: bacteriophagesLysogenic cycleLysogenyLytic cycle

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    Setting Up Nonparametric Tests
    This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require...
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