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Digital Storytelling in ESL Instruction: Identity Negotiation through a Pedagogy of Multiliteracies
This qualitative descriptive exploratory study investigated how a pedagogy of multiliteracies can be introduced to the ESL curriculum using digital stories and explored the ways ESL learners negotiate their identities ...
Center-Based Clustering with Divergence
Families of center-based clustering methods are capable of handling high dimensional sparse data arising in Text Mining applications. All current center-based algorithms seek to minimize a particular objective function ...
Central Tolerance Regions and Reference Regions for Some Normal Populations
A reference interval represents a range of values that a physician can use in order to interpret a single test result from a patient. A 95% reference interval is simply the interval from the 2.5th to the 97.5th percentiles ...
Effect of Parity on Boundedness of Orbits in Lotka-Volterra Food Chains
Hairston, Slobodkin, and Smith (HSS) conjectured that top-down forces act on food chains with three trophic levels, which opposed the previously accepted theory that bottom-up forces dictate the dynamics of populations. ...
Dynamic Portfolio Optimization using Sequential Quadratic Programming
In Financial Mathematics, classical Markowitz Portfolio theory provides a strategy for optimizing return on a portfolio by considering only the mean and variance of returns. However, recent theoretical and empirical studies ...
Efficient Time Integration Methods for Stiff Stochastic Dynamical Systems
Dynamic systems that consist of multiple time scales where the faster time scales are stable are said to be stiff. Stiff systems pose particular challenges when it comes to numerical methods of simulation that advance the ...
Dose-Response Modeling For Continuous Responses When Variance Is Not A Power Of The Mean
In the context of modeling dose-response data for continuous outcomes, a common procedure is to summarize the data based on sample means and sample variances, and fit a suitable model for the means, ?(d)
Effects of Spatial and Temporal Correlation in General Linear Modeling of fMRI
Current functional magnetic resonance imaging (fMRI) analysis utilizes a false discover rate (FDR) based on the assumption of independent voxels. Our fMRI general linear model simulation accurately portrays the expected ...
Higher Order Asymptotics: Applications to Mixed Models and Bioassay
Likelihood based tests and confidence intervals typically require large sample sizes for their validity. For small sample problems, higher order asymptotics (or small sample asymptotics) appear to be an attractive option ...
Random composite media: homogenization, modeling, simulation, and material symmetry
We present a systematic study of homogenization of diffusive and elastic random media with emphasis on tile-based random microstructures. We give detailed examples of several such media starting from their physical ...