Logistic regression Model Effectiveness: Proportional Chance Criteria and Proportional Reduction in Error

The importance of classification tables in binary logistic regression analysis has not been fully recognized. This may be due to an over reliance on statistical software or lack of awareness of the value that computation of the proportional by chance accuracy criteria (PCC) and proportional reduction in error (PRE) statistic can add to binary logistic regression models. Case illustrations are used in this paper to demonstrate the usefulness of these computations. An overview of logistic regression is proffered along with a discussion of the function of case classifications and strategies in application of the PCC and PRE. It offers guidance for others interested in understanding how classification tables can be maximized to assess the predictive effectiveness and utility of binary logistic regression models

The Retention of Women in Science, Technology, Engineering, and Mathematics: A Framework for Persistence

Women make up 47% of the total U.S. workforce, but are less represented in engineering, computer sciences, and the physical sciences. In addition, race and ethnicity are salient factors and minority women comprise fewer than 1 in 10 scientist or engineer. In this paper, a review of the literature is under taken that explores the many challenges women encounter when pursing a career in the sciences. It includes a review of the national landscape and discussion of the guiding general retention theories. Finally it proposes a conceptual framework for persistence and proffers a number of research questions designed to delve deeper into the under representation phenomenon

Strategies to Increase Representation of Students with Disabilities in Science, Technology, Engineering and Mathematics (STEM)

As a nation wrestles with the need to train more professionals, persons with disabilities are undereducated and underrepresented in science, technology, engineering, and mathematics (STEM). The following project was proposed to increase representation of students with disabilities in the STEM disciplines. The program emphasizes an integrated program of interventions for college students with disabilities (SwD) majoring in STEM which centers on a system of continuous student monitoring with rapid access to academic and personal services, as well as professional development and degree enhancing experiences supplied during the entire period of college attendance

Shadow Scholars and the Rise of the Dissertation Service Industry: Can We Maintain Academic Integrity?

Notable interest was generated when Dave Tomar’s book, <em>The Shadow Scholar: How I Made a Living Helping College Kids Cheat</em>, was first published. While ghostwriters and paper mills have long been part of the academic landscape, a far more ominous enterprise has appeared that targets master’s and doctoral students seeking assistance with their theses and dissertations. This essay proffers a number of questions for consideration about the services these consulting companies are marketing on the Internet to students across the globe. The article illuminates a rising phenomenon and the potential effects on scholarship, faculty, and universities. It will be of interest to anyone interested in the implications for research education

Olfactory deposition of inhaled nanoparticles in humans

CONTEXT: Inhaled nanoparticles can migrate to the brain via the olfactory bulb, as demonstrated in experiments in several animal species. This route of exposure may be the mechanism behind the correlation between air pollution and human neurodegenerative diseases, including Alzheimer’s disease and Parkinson’s disease. OBJECTIVES: This manuscript aims to (1) estimate the dose of inhaled nanoparticles that deposit in the human olfactory epithelium during nasal breathing at rest and (2) compare the olfactory dose in humans with our earlier dose estimates for rats. MATERIALS AND METHODS: An anatomically-accurate model of the human nasal cavity was developed based on computed tomography scans. The deposition of 1–100 nm particles in the whole nasal cavity and its olfactory region were estimated via computational fluid dynamics (CFD) simulations. Our CFD methods were validated by comparing our numerical predictions for whole-nose deposition with experimental data and previous CFD studies in the literature. RESULTS: In humans, olfactory dose of inhaled nanoparticles is highest for 1–2 nm particles with approximately 1% of inhaled particles depositing in the olfactory region. As particle size grows to 100 nm, olfactory deposition decreases to 0.01% of inhaled particles. DISCUSSION AND CONCLUSION: Our results suggest that the percentage of inhaled particles that deposit in the olfactory region is lower in humans than in rats. However, olfactory dose per unit surface area is estimated to be higher in humans due to their larger minute volume. These dose estimates are important for risk assessment and dose-response studies investigating the neurotoxicity of inhaled nanoparticles