Digital Commons Network^™

Initiating Hpv Co-Testing For Women Aged 30-65 In An Ob/Gyn Practice Setting, Stephen Cavazos

Doctor of Nursing Practice

The purpose of this project was to improve the rate of successful human papilloma virus (HPV) screening in a small Texas based Women's Health clinic through a co-testing method. The intended goal was to increase the rate of HPV screening, from a 73% baseline, to 95% over a 10-week period for women between the ages of 30-65 years old. Approximately 79 million American women are currently infected with HPV, and 14 million people contract it every year. Seventy percent of cervical cancers today are caused by HPV, leading to approximately 12,820 new diagnoses of invasive cervical cancer predicted for 2017, …

Evidence-Based Discharge Education Guidelines To Improve Adherence To Self-Care And Decrease 30-Day Readmissions For Older Heart Failure Patients, Lisette Melton

Doctor of Nursing Practice

Heart failure is a complex, debilitating, chronic disease characterized by high mortality and frequent hospital readmissions. Heart failure affects 5.7 million people in the United States with 670,000 new patients diagnosed each year. Patients are most vulnerable during the transition from the acute care setting to home. Limited patient knowledge on symptom recognition leads to detrimental outcomes for the patients; therefore, discharge education is paramount for decreasing readmissions. The national benchmark for 30-day readmission is 27%. The purpose of this quality improvement project was to improve compliance with the 2013 American Heart Association guidelines through discharge education by Telemetry staff …

Provider Adherence To Prescribing The Elimination Diet, Seth Osgood

Doctor of Nursing Practice

Allergy-related diseases, chemical sensitivities, and food intolerances have increased dramatically over the last 20 years in both the pediatric and adult populations, contributing to escalating rates of morbidity. Despite an abundance of literature supporting the negative impact food reactions can have in multiple disease states, food reactions continue to be seen as a modern enigma in medicine and are often met with great skepticism. There are a variety of interventions available to identify food reactions in both adults and children; yet, the traditional elimination diet remains the standard of care. Regardless of its utility and clinical effectiveness in the healthcare …

Gastrointestinal Parasites In Captive And Free-Ranging Cebus Albifrons In The Western Amazon, Ecuador, Sarah Martin-Solano, Gabriel A. Carrillo-Bilbao, William Ramirez, Maritza Celi-Erazo, Marie-Claude Huynen, Bruno Levecke, Washington Benitez-Ortiz, Bertrand Losson

All Faculty Scholarship for the College of the Sciences

Currently, there is a lack of surveys that report the occurrence of gastrointestinal parasites in the whiteheaded capuchin monkey (Cebus albifrons). We therefore assessed the presence and richness (= number of different parasite genera) of parasites in C. albifrons in wildlife refuges (n = 11) and in a free-ranging group near a human village (n = 15) in the Ecuadorian Amazon. In the 78 samples collected (median of 3 samples per animal), we identified a total of 6 genera of gastrointestinal parasites, representing protozoa, nematodes, acanthocephalans and cestodes. We observed a high prevalence (84%) across the 26 individuals, with the …

Toward Civil Rights Enforcement In The Environmental Justice Context - Step One: Acknowledging The Problem, Marianne Engelman Lado

Fordham Environmental Law Review

No abstract provided.

Key Factors To Promote Successful Comprehensive Reentry Initiatives, Jeff Mellow, Kevin Barnes-Ceeney

Criminal Justice Faculty Publications

From page 22: "In this article we describe key features of CRIs, their goals, and critical implementation indicators identified from the literature and experience that must be considered to ensure the short- and long-term success of high-quality multifaceted reentry initiatives. The factors will provide a roadmap to policy makers, program and initiative developers, and practitioners when they consider the time, resources, and engagement levels to successfully implement a new reentry initiative."

Customer Domination At Work: A New Paradigm For The Sexual Harassment Of Employees By Customers, Einat Albin

Michigan Journal of Gender & Law

This Article introduces a novel legal paradigm—customer domination at work—to address the sexual harassment of employees by customers. This new approach challenges the prevailing paradigm, which focuses on the employer-employee binary relationship. I show how, under current Title VII law, the prevailing paradigm leads to a weaker form of employer liability than other instances where employers are liable for the sexual harassment of their employees. The protection for workers is also limited. The same is true of two other legal regimes discussed in the Article: Germany and Britain. More importantly, I argue that the prevailing paradigm precludes a true understanding …

The Relationship Between Nonverbal Communication And Patient Willingness To Comply In Framed, Low-Risk Medical Settings, Rachael A. Katz

Communication Studies

This study discusses framing and communication tactics in the medical field. It specifically aims to understand whether expertise and empathetic nonverbal communication impacts patient willingness to comply with physician directives in gain- and loss-framed medical settings. Framing has been studied in many settings, including medical situations, and has been found to impact decision-making. This experiment utilizes college-aged individuals to examine Meningitis, a disease where the most at-risk group is college aged young adults. Participants were exposed to one of six conditions to examine whether perceived expertise/empathy in their scenario impacted willingness to comply with the doctor directives. Although no mediation …

Effect Of A Ubiquitous Moral Cue On Ethical Leadership, Moral Disengagement And Goal Difficulty: Real-World Outcomes Of A Novel Behavioural Intervention By Mobile Application Technology, Boon Heon Tan

Dissertations and Theses Collection (Open Access)

Firms invest significant resources in their ethical infrastructure to influence the ethical decision-making of employees. The advent of mobile technology has extended the frontier of interventions that may discourage unethical behaviour, through the use of ubiquitously-present mobile-based moral cues. I conducted a prospective, randomized field experiment, to study how a ubiquitous moral cue may positively enhance ethical decision-making. Sales professionals working in a pharmaceutical firm in China were assigned randomly by teams to either receive, or not, a mobile application from their firm’s compliance department. Over six months, participants completed three cross-sectional surveys, and were randomly monitored by an independent …

Notes From The Director, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Current Navigation Points In Drug Diversion Law: Hidden Rocks In Shallow, Murky, Drug-Infested Waters, John J. Mulrooney Ii, Katherine E. Legel

Marquette Law Review

None

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Avian Diversity, Abundance, And Nest Success Among Managed Prairies And Agricultural Plots In Oklahoma And Texas, Phillip J. Leonard, Douglas R. Wood, Wayne E. Meyer

The Prairie Naturalist

Over the last 50 years, grassland birds experienced rapid declines due to habitat loss and degradation as a result of agricultural practices. Our objective was to document the diversity, abundance, and nest success of bird communities using managed prairie and agricultural plots at the Tishomingo National Wildlife Refuge (NWR) in southern Oklahoma and Hagerman NWR in northern Texas. From April 1 to July 15, 2013–2014, point count surveys, nest searches, nest monitoring, and vegetation sampling were conducted among three habitat treatments: managed prairie, unharvested wheat, and fallow agricultural plots. Species richness values for potential nesting species were higher in managed …

Severe Drought Impacts Female Pheasant Physiology In Southwest Nebraska, Jessica A. Laskowski, Gwen C. Bachman, Joseph J. Fontaine

The Prairie Naturalist

In 2012, Nebraska experienced one of the worst droughts since the 1930s, accompanied by abnormally high temperatures. We studied the impacts of the 2012 summer drought on female ring-necked pheasant (Phasianus colchicus) body condition and baseline and stress-induced corticosterone concentrations (CORT). We hypothesized that drought conditions would reduce pheasant body condition, increase chronic stress resulting in elevated baseline CORT levels, and down-regulate pheasant stress response to acute stressors, resulting in reduced stress-induced CORT concentrations. In southwestern Nebraska, we captured female pheasants in 2012 (pre-drought) and 2013 (post-drought). Pheasants had poorer body condition after the drought. Although female CORT measures were …

Field Discrimination Of Prairie Deer Mice And White-Footed Mice Using Morphological Characteristics, Jacob L. Berl, Kelton M. Verble, Elizabeth A. Flaherty, Robert K.S. Swihart

The Prairie Naturalist

Field discrimination of prairie deer mice (Peromyscus maniculatus bairdii) and white-footed mice (P. leucopus noveboracensis) can be difficult throughout much of the central United States where they co-occur. We live-trapped prairie deer mice and white-footed mice within forested and row-crop habitats in central Indiana and used multiplex PCR with species-specific primers to positively determine species identification. We collected a suite of commonly measured external morphological traits (body weight and lengths of ear, hindfoot, tail, and body) from each captured animal. Individuals were assigned to species based on analysis of DNA; discriminant function analysis was used to …

R Teaching Column, Matthias Gehrke, Reed Davis, Norman Matloff, Paul Thompson, Tiffany Chen, Emily Watkins, Laurel Beckett

The R Journal

The revisit package, developed as a collaborative tool for scientists, also serves as a tool for teaching statistics, in a manner that can be highly motivating for students. Using either the included case studies or datasets/code provided by the instructor, students can explore several alternate paths of analysis, such as the effects of including/excluding certain variables, employing different types of statistical methodology and so on. The package includes features that help students follow modern statistical standards and avoid various statistical errors, such as “p-hacking” and lack of attention to outlier data.

Forwards Column, Stella Bollmann, Dianne Cook, Jasmine Dumas, John Fox, Julie Josse, Oliver Keyes, Carolin Strobl, Heather Turner, Rudolf Debelak

The R Journal

Forwards is a task force that was set up by the R Foundation in 2015 to address the under representation of women that has since widened its scope to encompass other under represented groups. The task force is organised as a core team comprising leaders from a number of sub-teams that focus on particular aspects:

Openebgm: An R Implementation Of The Gamma-Poisson Shrinker Data Mining Model, Travis Canida, John Ihrie

The R Journal

We introduce the R package openEBGM, an implementation of the Gamma-Poisson Shrinker (GPS) model for identifying unexpected counts in large contingency tables using an empirical Bayes approach. The Empirical Bayes Geometric Mean (EBGM) and quantile scores are obtained from the GPS model estimates. openEBGM provides for the evaluation of counts using a number of different methods, including the model-based disproportionality scores, the relative reporting ratio (RR), and the proportional reporting ratio (PRR). Data squashing for computational efficiency and stratification for confounding variable adjustment are included. Application to adverse event detection is discussed.

The R Journal (December 2017) 9(2): Complete Issue, The R Foundation

The R Journal

Editorial, Roger Bivand

Contributed Research Articles

anchoredDistr: A Package for the Bayesian Inversion of Geostatistical Parameters with Multi-type and Multi-scale Data, Heather Savoy, Falk Heße, and Yoram Rubin

dGAselID: An R Package for Selecting a Variable Number of Features in High Dimensional Data, Nicolae Teodor Melita and Stefan Holban

Allele Imputation and Haplotype Determination from Databases Composed of Nuclear Families, Nathan Medina-Rodríguez and Ángelo Santana

Visualization of Regression Models Using visreg, Patrick Breheny and Woodrow Burchett

fourierin: An R package to compute Fourier integrals, Guillermo Basulto-Elias, Alicia Carriquiry, Kris De Brabanter, and Daniel J. Nordman

Discrete Time Markov Chains with …

The Welchadf Package For Robust Hypothesis Testing In Unbalanced Multivariate Mixed Models With Heteroscedastic And Non-Normal Data, Pablo J. Villacorta

The R Journal

A new R package is presented for dealing with non-normality and variance heterogeneity of sample data when conducting hypothesis tests of main effects and interactions in mixed models. The proposal departs from an existing SAS program which implements Johansen’s general formulation of Welch-James’s statistic with approximate degrees of freedom, which makes it suitable for testing any linear hypothesis concerning cell means in univariate and multivariate mixed model designs when the data pose non-normality and non-homogeneous variance. Improved type I error rate control is obtained using bootstrapping for calculating an empirical critical value, whereas robustness against non-normality is achieved through trimmed …

Mle.Tools: An R Package For Maximum Likelihood Bias Correction, Josmar Mazucheli, André Felipe B. Menezes, Saralees Nadarajah

The R Journal

Recently, Mazucheli (2017) uploaded the package mle.tools to CRAN. It can be used for bias corrections of maximum likelihood estimates through the methodology proposed by Cox and Snell (1968). The main function of the package, coxsnell.bc(), computes the bias corrected maximum likelihood estimates. Although in general, the bias corrected estimators may be expected to have better sampling properties than the uncorrected estimators, analytical expressions from the formula proposed by Cox and Snell (1968) are either tedious or impossible to obtain. The purpose of this paper is twofolded: to introduce the mle.tools package, especially the coxsnell.bc() function; secondly, to compare, for …

Carx: An R Package To Estimate Censored Autoregressive Time Series With Exogenous Covariates, Chao Wang, Kung-Sik Chan

The R Journal

We implement in the R package carx a novel and computationally efficient quasi-likelihood method for estimating a censored autoregressive model with exogenous covariates. The proposed quasi-likelihood method reduces to maximum likelihood estimation in absence of censoring. The carx package contains many useful functions for practical data analysis with censored stochastic regression, including functions for outlier detection, model diagnostics, and prediction with censored time series data. We illustrate the capabilities of the carx package with simulations and an elaborate real data analysis.

Visualization Of Regression Models Using Visreg, Patrick Breheny, Woodrow Burchett

The R Journal

Regression models allow one to isolate the relationship between the outcome and an explanatory variable while the other variables are held constant. Here, we introduce an R package, visreg, for the convenient visualization of this relationship via short, simple function calls. In addition to estimates of this relationship, the package also provides pointwise confidence bands and partial residuals to allow assessment of variability as well as outliers and other deviations from modeling assumptions. The package provides several options for visualizing models with interactions, including lattice plots, contour plots, and both static and interactive perspective plots. The implementation of the …

Rqgis: Integrating R With Qgis For Statistical Geocomputing, Jannes Muenchow, Patrick Schratz, Alexander Brenning

The R Journal

Integrating R with Geographic Information Systems (GIS) extends R’s statistical capabilities with numerous geoprocessing and data handling tools available in a GIS. QGIS is one of the most popular open-source GIS, and it furthermore integrates other GIS programs such as the System for Automated Geoscientific Analyses (SAGA) GIS and the Geographic Resources Analysis Support System (GRASS) GIS within a single software environment. This and its QGIS Python API makes it a perfect candidate for console-based geoprocessing. By establishing an interface, the R package RQGIS makes it possible to use QGIS as a geoprocessing workhorse from within R. Compared to other …

A Tidy Data Model For Natural Language Processing Using Cleannlp, Taylor Arnold

The R Journal

Recent advances in natural language processing have produced libraries that extract low level features from a collection of raw texts. These features, known as annotations, are usually stored internally in hierarchical, tree-based data structures. This paper proposes a data model to represent annotations as a collection of normalized relational data tables optimized for exploratory data analysis and predictive modeling. The R package cleanNLP, which calls one of two state of the art NLP libraries (CoreNLP or spaCy), is presented as an implementation of this data model. It takes raw text as an input and returns a list of normalized …

Changes In R, R Core Team

The R Journal

CHANGES IN R 3.4.3

Afmtoolkit: An R Package For Automated Afm Force-Distance Curves Analysis, Rafael Benítez, Vicente J. Bolós, José-Luis Toca-Herrera

The R Journal

Atomic force microscopy (AFM) is widely used to measure molecular and colloidal inter actions as well as mechanical properties of biomaterials. In this paper the afmToolkit R package is introduced. This package allows the user to automatically batch process AFM force-distance and force-time curves. afmToolkit capabilities range from importing ASCII files and preprocessing the curves (contact point detection, baseline correction...) for finding relevant physical information, such as Young’s modulus, adhesion energies and exponential decay for force relaxation and creep experiments. This package also contains plotting, summary and feature extraction functions. The package also comes with several data sets so the …

Manlymix: An R Package For Manly Mixture Modeling, Xuwen Zhu, Volodymyr Melnykov

The R Journal

Model-based clustering is a popular technique for grouping objects based on a finite mixture model. It has countless applications in different fields of study. The R package ManlyMix implements the Manly mixture model that allows modeling skewness within data groups and performs cluster analysis. ManlyMix is a powerful diagnostics tool that is capable of conducting investigation concerning the normality of variables upon fitting of a Manly forward or backward model. Theoretical foundations as well as description of functions are provided. All features of the package are illustrated with examples in great detail. The analysis of real-life datasets demonstrates the flexibility …

Rpsftm: An R Package For Rank Preserving Structural Failure Time Models, Annabel Allison, Ian R. White, Simon Bond

The R Journal

Treatment switching in a randomised controlled trial occurs when participants change from their randomised treatment to the other trial treatment during the study. Failure to account for treatment switching in the analysis (i.e. by performing a standard intention-to-treat analysis) can lead to biased estimates of treatment efficacy. The rank preserving structural failure time model (RPSFTM) is a method used to adjust for treatment switching in trials with survival outcomes. The RPSFTM is due to Robins and Tsiatis (1991) and has been developed by White et al. (1997, 1999).

The method is randomisation based and uses only the randomised treatment group, …

Simulating Probabilistic Long-Term Effects In Models With Temporal Dependence, Christopher Gandrud, Laron K. Williams

The R Journal

The R package pltesim calculates and depicts probabilistic long-term effects in binary models with temporal dependence variables. The package performs two tasks. First, it calculates the change in the probability of the event occurring given a change in a theoretical variable. Second, it calculates the rolling difference in the future probability of the event for two scenarios: one where the event occurred at a given time and one where the event does not occur. The package is consistent with the recent movement to depict meaningful and easy-to-interpret quantities of interest with the requisite measures of uncertainty. It is the first …