Digital Commons Network^™

Heteroglossic Practices In A Multilingual Science Classroom, Lydiah Kananu Kiramba

Department of Teaching, Learning, and Teacher Education: Faculty Publications

This paper uses sociocultural theories of language learning to investigate how teachers and students navigate between monolingual institutional policies and the multilingual realities encountered in a rural Kenyan fourth-grade classroom. The paper addresses not only how learners’ communicative repertoires are deployed to make meaning in a foreign language instruction context but also the sociocultural significance of these communicative practices. Results illustrate how the science teacher used heteroglossic practices to mediate students’ access to literacy, hence, supporting the content learning and language development of students. Both the science teacher and the students preferred a more flexible use of language to make …

Interventions To Increase Vaccination Rates In Homeless Adults Aged 50 Years And Older In A Shelter-Based Clinic, Rubeena Smith

Doctor of Nursing Practice

Pronounced disparities in adult immunizations exist across the country. In homeless adults over 50 years of age with chronic diseases, coverage rates for influenza and pneumococcal vaccinations falls at 30% as compared to the 60% coverage rate found in the general public. Hepatitis B immunization rates are also significantly lower in the elderly homeless population. Increased prevalence of chronic diseases in the elderly homeless shelter residents’ increase their risk for severe complications following influenza, hepatitis B and meningococcal infections. To prevent disease epidemics and further disability in the homeless population, the need for appropriate and timely vaccinations is critical. Attitudes …

Improving Foot Care And Kidney Disease Screening Through Implementation Of American Diabetes Association Standards–2016 In The Primary Care Setting, Maricela Hernandez

Doctor of Nursing Practice

The purpose of this quality improvement project was to increase adherence to the American Diabetes Association Standards of Medical Care in Diabetes—2016 recommendations for foot care and kidney disease screening for patients with diabetes mellitus type II in a primary care setting. Diabetes mellitus type II affects approximately 18.9-19.9 million, or 90-95%, of all diagnosed cases in the United States. Early detection and management decrease the risk of developing microvascular complications that may lead to neuropathy and nephropathy. Adults with diabetes mellitus type II, 20 years of age and older, accounted for approximately 73,000 non-traumatic lower-extremity amputations in 2011. Diabetes …

Implementation Of Quality Improvement Interventions To Increase Provider Adherence To Standards Of Medical Care In Diabetes, Elizabeth A. Betz

Doctor of Nursing Practice

Purpose: To improve a South Texas primary care clinic’s diabetes management system by implementation of a quality improvement intervention to help staff and medical providers increase adherence to the American Diabetes Association standards of care related to screening referrals and orders for urine microalbumin, in order to improve self-care and health outcomes for adult patients with diabetes. Background and Problem: Diabetes is the 7th leading cause of death in the United States and the cause of vision loss, amputations, and end-stage renal disease. The patients at the Wellness Center do not consistently receive routine screenings for neuropathy, retinopathy, nephropathy, microalbumin, …

Reintroducing Environmental Change Drivers In Biodiversity-Ecosystem Functioning Research., Frederik De Laender, Jason R. Rohr, Roman Ashauer, Donald J Baird, Uta Berger, Nico Eisenhauer, Volker Grimm, Udo Hommen, Lorraine Maltby, Carlos J Meliàn

Integrative Biology Faculty and Staff Publications

For the past 20 years, research on biodiversity and ecosystem functioning (B-EF) has only implicitly considered the underlying role of environmental change. We illustrate that explicitly reintroducing environmental change drivers in B-EF research is needed to predict the functioning of ecosystems facing changes in biodiversity. Next we show how this reintroduction improves experimental control over community composition and structure, which helps to provide mechanistic insight on how multiple aspects of biodiversity relate to function and how biodiversity and function relate in food webs. We also highlight challenges for the proposed reintroduction and suggest analyses and experiments to better understand how …

Evaluating Language-Learning Mobile Apps For Second-Language Learners, Xiaojun Chen

Journal of Educational Technology Development and Exchange (JETDE)

As mobile technologies become more affordable and more advanced in function, researchers suggest that using mobile apps to assist English language learning are appropriate. This three-step evaluation study (designing a theory-driven rubric, selecting apps, and evaluating the apps) aims to investigate and evaluate the affordances of English language learning mobile apps for adult learners. The results of this evaluation study contribute to the literature of mobile learning targeting adult learners, and also broaden the knowledge body of integrating mobile learning into English Language Learning (ELL) classes.

The Modernization Of The Long Island Rail Road, Derek Stadler

Publications and Research

The history of Long Island embodies what public funding contributes to transportation infrastructure. The article contextualizes the Long Island Rail Road in American railroad history both as a private company and public service. Using the Port Jefferson branch as an example, it argues that state proprietorship was essential for modernization and that recent improvements proved to be a poor investment.

Expanding The Credit Box, David J. Reiss

Cornell Law Faculty Working Papers

The mortgage market of the early 2000s provided mortgage credit to too many people who could not make their monthly payments on the terms offered. The pendulum has now swung. Today’s market offers very few unsustainable mortgages, but it fails to provide credit to some who could afford them. That means that the credit box is not at its socially optimal size. The Consumer Financial Protection Bureau should make it a priority to review the regulatory regime for non-Qualified Mortgages in order to ensure that the functional credit box is expanded to more closely approximate the universe of borrowers who …

Gender Discrimination And Statelessness In The Gulf Cooperation Council States, Betsy L. Fisher

Michigan Journal of Gender & Law

Using the Gulf Cooperation Council countries as a case study, this Article outlines the ways in which gender and birth status discrimination create new cases of statelessness. These occur when women are legally unable to convey their nationality to their children. This Article studies gender and birth status discrimination in nationality laws and in civil registration, family, and criminal law in each GCC state: Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates. Ending statelessness will require these states to end discrimination against women and non-marital children in all of its forms in law and practice.

Intimate Apparel

Theatre Programs

INTIMATE APPAREL by Lynn Nottage
Directed by Dr. Jaye Austin Williams

Drama: In this brilliantly crafted portrait of turn-of-the-last-century New York, Nottage gives us a story about desire and common sense, of pleasure and pain, of resilience and fragility, and above all the unlikely triumph of the human spirit. True to its title, Intimate Apparel presents a story that is both delicate and eloquent. Winner of the 2004 New York Drama Critics Circle, Outer Critics Circle Awards and Sternberg New Play Award.

Waltmar Theatre
7:30pm – Dec. 1, 2, 3, 8, 9, & 10
2:00pm – Dec. 3 & 10 …

The Learned Hand Unformula For Short-Swing Liability, Andrew Chin

Washington Law Review

Section 16(b) of the Securities Exchange Act of 1934 allows for the recovery of short-swing profits realized by certain insiders from trading in a corporation’s stock within a period of less than six months. Three generations of corporate law students have been taught the “lowest-in, highest-out” formula that is intended to maximize the disgorgement of short-swing profits under section 16(b). Arnold Jacobs’s 1987 treatise presented two hypothetical examples where the formula fell short of the intended maximum, but courts, commentators, and practitioners have largely ignored these theoretical challenges to the formula’s validity. This Article identifies Gratz v. Claughton as the …

Teaching Daily Drill Exercises To Visual Learning Instrumentalists, Adrian Villalobos

McNair Scholars Research Journal

No abstract provided.

Genomics And Csf Analyses Implicate Thyroid Hormone In Hippocampal Sclerosis Of Aging, Peter T. Nelson, Yuriko Katsumata, Kwangsik Nho, Sergey C. Artiushin, Gregory A. Jicha, Wang-Xia Wang, Erin L. Abner, Andrew J. Saykin, Walter A. Kukull, Alzheimer’S Disease Neuroimaging Initiative (Adni), David W. Fardo

Sanders-Brown Center on Aging Faculty Publications

We report evidence of a novel pathogenetic mechanism in which thyroid hormone dysregulation contributes to dementia in elderly persons. Two single nucleotide polymorphisms (SNPs) on chromosome 12p12 were the initial foci of our study: rs704180 and rs73069071. These SNPs were identified by separate research groups as risk alleles for non-Alzheimer’s neurodegeneration. We found that the rs73069071 risk genotype was associated with hippocampal sclerosis (HS) pathology among people with the rs704180 risk genotype (National Alzheimer’s Coordinating Center/Alzheimer’s Disease Genetic Consortium data; n = 2113, including 241 autopsy-confirmed HS cases). Furthermore, both rs704180 and rs73069071 risk genotypes were associated with widespread brain …

Reproductive Characteristics Of Landlocked Fall Chinook Salmon From Lake Oahe, South Dakota, Kelsen L. Young, Michael E. Barnes, Jeremy L. Kientz

The Prairie Naturalist

Lake Oahe, South Dakota, USA, landlocked fall Chinook salmon (Oncorhynchus tshawytscha) reproductive characteristics were examined over a 27 year period, from 1988 to 2015. Mean total lengths of spawning females ranged from 665 mm (1995) to 812 mm (2015) with considerable year-to-year variation. Post-spawn female weights varied, ranging from 2.02 kg (2000) to 5.55 kg (2015), with an overall mean of 3.04 kg. Fecundity peaked at 4,555 eggs per female in 2003, which was just 3 years after a low of 2,011 eggs per female in 2000. Relative fecundity based on female weight was greatest at 1,211 eggs/kg …

Changes In R, R Core Team

The R Journal

CHANGES IN R 3.3.2 patched

Mctest: An R Package For Detection Of Collinearity Among Regressors, Muhammad Imdadullah, Muhammad Aslam, Saima Altaf

The R Journal

It is common for linear regression models to be plagued with the problem of multicollinearity when two or more regressors are highly correlated. This problem results in unstable estimates of regression coefficients and causes some serious problems in validation and interpretation of the model. Different diagnostic measures are used to detect multicollinearity among regressors. Many statistical software and R packages provide few diagnostic measures for the judgment of multicollinearity. Most widely used diagnostic measures in these software are: coefficient of determination (R2), variance inflation factor/tolerance limit (VIF/TOL), eigenvalues, condition number (CN) and condition index (CI) etc. In this manuscript, we …

Weighted Distance Based Discriminant Analysis: The R Package Wedibadis, Itziar Irigoien, Francesc Mestres, Concepcion Arenas

The R Journal

The WeDiBaDis package provides a user friendly environment to perform discriminant analysis (supervised classification). WeDiBaDis is an easy to use package addressed to the biological and medical communities, and in general, to researchers interested in applied studies. It can be suitable when the user is interested in the problem of constructing a discriminant rule on the basis of distances between a relatively small number of instances or units of known unbalanced-class membership measured on many (possibly thousands) features of any type. This is a current situation when analyzing genetic biomedical data. This discriminant rule can then be used both, as …

Subgroup Discovery With Evolutionary Fuzzy Systems In R: The Sdefsr Package, Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María J. Del Jesus

The R Journal

Subgroup discovery is a data mining task halfway between descriptive and predictive data mining. Nowadays it is very relevant for researchers due to the fact that the knowledge extracted is simple and interesting. For this task, evolutionary fuzzy systems are well suited algorithms because they can find a good trade-off between multiple objectives in large search spaces. In fact, this paper presents the SDEFSR package, which contains all the evolutionary fuzzy systems for subgroup discovery presented throughout the literature. It is a package without dependencies on other software, providing functions with recommended default parameters. In addition, it brings a graphical …

Variants Of Simple Correspondence Analysis, Rosaria Lombardo, Eric J. Beh

The R Journal

This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six variants of correspondence analysis on a two-way contingency table. The main function that shares the same name as the package– CAvariants– allows the user to choose (via a series of input parameters) from six different correspondence analysis procedures. These include the classical approach to (symmetrical) correspondence analysis, singly ordered correspondence analysis, doubly ordered correspondence analysis, non symmetrical correspondence analysis, singly ordered non symmetrical correspondence analysis and doubly ordered non symmetrical correspondence analysis. The code provides the flexibility for constructing either a classical correspondence plot or …

Diverse: An R Package To Analyze Diversity In Complex Systems, Miguel R. Guevara, Dominik Hartmann, Marcelo Mendoza

The R Journal

The package diverse provides an easy-to-use interface to calculate and visualize different aspects of diversity in complex systems. In recent years, an increasing number of research projects in social and interdisciplinary sciences, including fields like innovation studies, scientometrics, economics, and network science have emphasized the role of diversification and sophistication of socioeconomic systems. However, so far no dedicated package exists that covers the needs of these emerging fields and interdisciplinary teams. Most packages about diversity tend to be created according to the demands and terminology of particular areas of natural and biological sciences. The package diverse uses interdisciplinary concepts of …

Design Of The Tronco Bioconductor Package For Translational Oncology, Marco Antoniotti, Giulio Caravagna, Luca De Sano, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Daniele Ramazzotti

The R Journal

Models of cancer progression provide insights on the order of accumulation of genetic alterations during cancer development. Algorithms to infer such models from the currently available mutational profiles collected from different cancer patients (cross-sectional data) have been defined in the literature since late the 90s. These algorithms differ in the way they extract a graphical model of the events modelling the progression, e.g., somatic mutations or copy-number alterations.

TRONCO is an R package for TRanslational ONcology which provides a series of functions to assist the user in the analysis of cross-sectional genomic data and, in particular, it implements …

Qpot: An R Package For Stochastic Differential Equation Quasi-Potential Analysis, Christopher M. Moore, Christopher R. Stieha, Ben C. Nolting, Maria K. Cameron, Karen C. Abbott

The R Journal

QPot (pronounced ky oo + p¨ at) is an R package for analyzing two-dimensional systems of stochastic differential equations. It provides users with a wide range of tools to simulate, analyze, and visualize the dynamics of these systems. One of QPot’s key features is the computation of the quasi-potential, an important tool for studying stochastic systems. Quasi-potentials are particularly useful for comparing the relative stabilities of equilibria in systems with alternative stable states. This paper describes QPot’s primary functions, and explains how quasi-potentials can yield insights about the dynamics of stochastic systems. Three worked examples guide users through the application …

Micompr: An R Package For Multivariate Independent Comparison Of Observations, Nuno Fachada, João Rodrigues, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa

The R Journal

The R package micompr implements a procedure for assessing if two or more multivariate samples are drawn from the same distribution. The procedure uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. This technique is independent of the distributional properties of samples and automatically selects features that best explain their differences. The procedure is appropriate for comparing samples of time series, images, spectrometric measures or similar high-dimension multivariate observations

Nmfgpu4r: Gpu-Accelerated Computation Of The Non-Negative Matrix Factorization (Nmf) Using Cuda Capable Hardware, Sven Koitka, Christoph M. Friedrich

The R Journal

In this work, a novel package called nmfgpu4R is presented, which offers the computation of Non-negative Matrix Factorization (NMF) on Compute Unified Device Architecture (CUDA) platforms within the R environment. Benchmarks show a remarkable speed-up in terms of time per iteration by utilizing the parallelization capabilities of modern graphics cards. Therefore the application of NMFgets more attractive for real-world sized problems because the time to compute a factorization is reduced by an order of magnitude.

An Introduction To Principal Surrogate Evaluation With The Pseval Package, Michael C. Sachs, Erin E. Gabriel

The R Journal

We describe a new package called pseval that implements the core methods for the evaluation of principal surrogates in a single clinical trial. It provides a flexible interface for defining models for the risk given treatment and the surrogate, the models for integration over the missing counterfactual surrogate responses, and the estimation methods. Estimated maximum likelihood and pseudo-score can be used for estimation, and the bootstrap for inference. A variety of post-estimation methods are provided, including print, summary, plot, and testing. We summarize the main statistical methods that are implemented in the package and illustrate its use from the perspective …

Quantreg.Nonpar: An R Package For Performing Nonparametric Series Quantile Regression, Michael Lipsitz, Alexandre Belloni, Victor Chernozhukov, Iván Fernández-Val

The R Journal

The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model. It also provides point-wise and uniform confidence intervals over a region of covariate values and/or quantile indices for the same functions using analytical and resampling methods. This paper serves as an introduction to the package and displays basic functionality of the functions contained within.

Qtools: A Collection Of Models And Tools For Quantile Inference, Marco Geraci

The R Journal

Quantiles play a fundamental role in statistics. The quantile function defines the distribution of a random variable and, thus, provides a way to describe the data that is specular but equivalent to that given by the corresponding cumulative distribution function. There are many advantages in working with quantiles, starting from their properties. The renewed interest in their usage seen in the last years is due to the theoretical, methodological, and software contributions that have broadened their applicability. This paper presents the R package Qtools, a collection of utilities for unconditional and conditional quantiles.

Ggfortify: Unified Interface To Visualize Statistical Results Of Popular R Packages, Yuan Yuan, Masaaki Horikoshi, Wenxuan Li

The R Journal

The ggfortify package provides a unified interface that enables users to use one line of code to visualize statistical results of many R packages using ggplot2 idioms. With the help of ggfortify, statisticians, data scientists, and researchers can avoid the sometimes repetitive work of using the ggplot2 syntax to achieve what they need.

Ake: An R Package For Discrete And Continuous Associated Kernel Estimations, Wanbitching E. Wansouwé, Sobom M. Somé, Célestin C. Kokonendji

The R Journal

Kernel estimation is an important technique in exploratory data analysis. Its utility relies on its ease of interpretation, especially based on graphical means. The Ake package is introduced for univariate density or probability mass function estimation and also for continuous and discrete regression functions using associated kernel estimators. These associated kernels have been proposed due to their specific features of variables of interest. The package focuses on associated kernel methods appropriate for continuous (bounded, positive) or discrete (count, categorical) data often found in applied settings. Furthermore, optimal bandwidths are selected by cross-validation for any associated kernel and by Bayesian methods …

Eicompare: Comparing Ecological Inference Estimates Across Ei And Ei:Rc, Loren Collingwood, Kassra Oskooii, Sergio Garcia-Rios, Matt Barreto

The R Journal

Social scientists and statisticians often use aggregate data to predict individual-level behavior because the latter are not always available. Various statistical techniques have been developed to make inferences from one level (e.g., precinct) to another level (e.g., individual voter) that minimize errors associated with ecological inference. While ecological inference has been shown to be highly problematic in a wide array of scientific fields, many political scientists and analysis employ the techniques when studying voting patterns. Indeed, federal voting rights lawsuits now require such an analysis, yet expert reports are not consistent in which type of ecological inference is used. This …