Digital Commons Network^™

Non-Alcoholic Fatty Liver Disease And Metabolic Syndrome: The Role Of Gender Differences And Menopausal Status Of Women, Kimberly Kushner

Walden Dissertations and Doctoral Studies

There are few studies that investigate the association between non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS) predominantly in menopausal women. This quantitative study investigated the association between MetS and NAFLD while controlling for age, gender, ethnicity, and menopausal status of women. The theoretical framework that helps establish and guide the research was the diffusion of innovation (DOI). A multivariable logistic regression was conducted using secondary data from the National Health and Nutrition Examination Survey. There is a statistically significant association between MetS, and NAFLD after controlling for age (OR = 2.96, 95% CI = 2.319–3.778, p < 0.001). However, ethnicity was not statistically significant. After further controlling for gender, the relationship remained statistically significant and exhibited a decrease in risk for females compared to males (OR = -.734, 95%CI = .387–.596, p < 0.001). Lastly, focusing on women only, and further controlling for menopausal status, the association between MetS and NAFLD was still statistically significant (OR = 2.227, p < 0.001). Mexican Americans, other Hispanics, and Non-Hispanic Black women were at higher risk (95% CI 1.102–7.039, 1.321–5.351, and 1.255–3.013, respectively). Implications for positive social change include adopting proactive and preventative strategies that can improve the quality of life for vulnerable patients and reduce morbidity and mortality associated with MetS and NAFLD.

Employee Retention Strategies In Selected Small And Medium Enterprises In Nigeria, Ijeoma Omeoga

Walden Dissertations and Doctoral Studies

AbstractThe lack of employee retention strategies in Nigeria’s small and medium enterprises (SMEs) can have adverse business outcomes. Business leaders are concerned about employee retention strategies since they can help reduce turnover and retain experienced employees. Grounded in Herzberg’s two-factor theory of motivation, the purpose of this qualitative multiple-case study was to explore strategies business leaders use to retain their experienced employees. The participants were four business leaders of four SMEs in Nigeria who successfully implemented strategies that helped retain their experienced employees. Data were collected using semistructured interviews and a review of organization policy documents. Through thematic analysis, four …

Visual Literacy: A Critical Literacy Competency In 21st Century Higher Education, Elizabeth Bucciarelli

Faculty Scholarship 2023

No abstract provided.

When Pro(?)-Football Came To Ypsilanti, Steven J. Ramold

Faculty Scholarship 2023

No abstract provided.

Uneven Impact Of The Reading Street Common Core Program On Student Reading Achievement, Donna Lee West

Walden Dissertations and Doctoral Studies

AbstractIn 2013, a school district located in the northeastern region of the US implemented the Reading Street Common Core Program (RS), a highly structured and scripted reading program. The problem was that the program had an uneven effect on elementary level student reading achievement at Title 1 schools in the district. This qualitative case study explored how teachers, professional development lead teachers (PDLTs), and principals at four high performing schools (HPS) and four low performing schools (LPS) experienced implementation of the RS, and how their experiences explained the uneven effect on student reading achievement. The conceptual framework that grounded the …

Strategies Aircraft Manufacturing Organizational Leaders Use For Proper Material Pricing, Chin Kuei Jen

Walden Dissertations and Doctoral Studies

The lack of proper material pricing strategies can challenge manufacturers’ profitability and growth. Aircraft manufacturing leaders are concerned because understanding and developing material pricing strategies are essential to increasing profitability. Grounded in price theory, the purpose of this qualitative single case study was to explore strategies aircraft manufacturing organizational leaders use for proper material pricing estimates. The participants were four aircraft manufacturing organizational leaders from a successful aircraft manufacturing business located in the state of Georgia. Data were gathered from semistructured interviews and document reviews and analyzed using Yin’s five step approach. The four themes that emerged were the impact …

Mitigating Anomalous Electricity Consumption In Smart Cities Using An Ai-Based Stacked-Generalization Technique, Arshid Ali, Laiq Khan, Nadeem Javaid, Safdar Hussain Bouk, Abdulaziz Aldegheishem, Nabil Alrahjeh

Computer Science Faculty Publications

Energy management and efficient asset utilization play an important role in the economic development of a country. The electricity produced at the power station faces two types of losses from the generation point to the end user. These losses are technical losses (TL) and non-technical losses (NTL). TLs occurs due to the use of inefficient equipment. While NTLs occur due to the anomalous consumption of electricity by the customers, which happens in many ways; energy theft being one of them. Energy theft majorly happens to cut down on the electricity bills. These losses in the smart grid (SG) are the …

Claimdistiller: Scientific Claim Extraction With Supervised Contrastive Learning, Xin Wei, Md Reshad Ul Hoque, Jian Wu, Jiang Li

Computer Science Faculty Publications

The growth of scientific papers in the past decades calls for effective claim extraction tools to automatically and accurately locate key claims from unstructured text. Such claims will benefit content-wise aggregated exploration of scientific knowledge beyond the metadata level. One challenge of building such a model is how to effectively use limited labeled training data. In this paper, we compared transfer learning and contrastive learning frameworks in terms of performance, time and training data size. We found contrastive learning has better performance at a lower cost of data across all models. Our contrastive-learning-based model ClaimDistiller has the highest performance, boosting …

An Approach To Developing Benchmark Datasets For Protein Secondary Structure Segmentation From Cryo-Em Density Maps, Thu Nguyen, Yongcheng Mu, Jiangwen Sun, Jing He

Computer Science Faculty Publications

More and more deep learning approaches have been proposed to segment secondary structures from cryo-electron density maps at medium resolution range (5--10Å). Although the deep learning approaches show great potential, only a few small experimental data sets have been used to test the approaches. There is limited understanding about potential factors, in data, that affect the performance of segmentation. We propose an approach to generate data sets with desired specifications in three potential factors - the protein sequence identity, structural contents, and data quality. The approach was implemented and has generated a test set and various training sets to study …

Progenitor Cell Isolation From Mouse Epididymal Adipose Tissue And Sequencing Library Construction, Qianglin Liu, Chaoyang Li, Yuxia Li, Leshan Wang, Xujia Zhang, Buhao Deng, Peidong Gao, Mohammad Shiri, Fozi Alkaifi, Junxing Zhao, Jacqueline M. Stephens, Constantine A. Simintiras, Joseph Francis, Jiangwen Sun, Xing Fu

Computer Science Faculty Publications

Here, we present a protocol to isolate progenitor cells from mouse epididymal visceral adipose tissue and construct bulk RNA and assay for transposase-accessible chromatin with sequencing (ATAC-seq) libraries. We describe steps for adipose tissue collection, cell isolation, and cell staining and sorting. We then detail procedures for both ATAC-seq and RNA sequencing library construction. This protocol can also be applied to other tissues and cell types directly or with minor modifications.

For complete details on the use and execution of this protocol, please refer to Liu et al. (2023).¹

*¹ Liu, Q., Li, C., Deng, B., Gao, P., …

Dial "N" For Nxdomain: The Scale, Origin, And Security Implications Of Dns Queries To Non-Existent Domains, Gunnan Liu, Lin Jin, Shuai Hao, Yubao Zhang, Daiping Liu, Angelos Stavrou, Haining Wang

Computer Science Faculty Publications

Non-Existent Domain (NXDomain) is one type of the Domain Name System (DNS) error responses, indicating that the queried domain name does not exist and cannot be resolved. Unfortunately, little research has focused on understanding why and how NXDomain responses are generated, utilized, and exploited. In this paper, we conduct the first comprehensive and systematic study on NXDomain by investigating its scale, origin, and security implications. Utilizing a large-scale passive DNS database, we identify 146,363,745,785 NXDomains queried by DNS users between 2014 and 2022. Within these 146 billion NXDomains, 91 million of them hold historic WHOIS records, of which 5.3 million …

Toward A Generative Modeling Analysis Of Clas Exclusive 2𝜋 Photoproduction, T. Alghamdi, Y. Alanazi, M. Battaglieri, Ł. Bibrzycki, A. V. Golda, A. N. Hiller Blin, E. L. Isupov, Y. Li, L. Marsicano, W. Melnitchouk, V. I. Mokeev, G. Montaña, A. Pilloni, N. Sato, A. P. Szczepaniak, T. Vittorini

Computer Science Faculty Publications

AI-supported algorithms, particularly generative models, have been successfully used in a variety of different contexts. This work employs a generative modeling approach to unfold detector effects specifically tailored for exclusive reactions that involve multiparticle final states. Our study demonstrates the preservation of correlations between kinematic variables in a multidimensional phase space. We perform a full closure test on two-pion photoproduction pseudodata generated with a realistic model in the kinematics of the Jefferson Lab CLAS g11 experiment. The overlap of different reaction mechanisms leading to the same final state associated with the CLAS detector’s nontrivial effects represents an ideal test case …

A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala

Computer Science Faculty Publications

Crude oil is one of the world’s most important commodities. Its price can affect the global economy, as well as the economies of importing and exporting countries. As a result, forecasting the price of crude oil is essential for investors. However, crude oil price tends to fluctuate considerably during significant world events, such as the COVID-19 pandemic and geopolitical conflicts. In this paper, we propose a deep learning model for forecasting the crude oil price of one-step and multi-step ahead. The model extracts important features that impact crude oil prices and uses them to predict future prices. The prediction model …

TCf21 Marks Visceral Adipose Mesenchymal Progenitors And Functions As A Rate-Limiting Factor During Visceral Adipose Tissue Development, Qianglin Liu, Chaoyang Li, Buhao Deng, Peidong Gao, Leshan Wang, Yuxia Li, Mohammad Shiri, Fozi Alkaifi, Junxing Zhao, Jacqueline M. Stephens, Constantine A. Simintiras, Joseph Francis, Jiangwen Sun, Xing Fu

Computer Science Faculty Publications

Distinct locations of different white adipose depots suggest anatomy-specific developmental regulation, a relatively understudied concept. Here, we report a population of Tcf21 lineage cells (Tcf21 LCs) present exclusively in visceral adipose tissue (VAT) that dynamically contributes to VAT development and expansion. During development, the Tcf21 lineage gives rise to adipocytes. In adult mice, Tcf21 LCs transform into a fibrotic or quiescent state. Multiomics analyses show consistent gene expression and chromatin accessibility changes in Tcf21 LC, based on which we constructed a gene-regulatory network governing Tcf21 LC activities. Furthermore, …

Dfhic: A Dilated Full Convolution Model To Enhance The Resolution Of Hi-C Data, Bin Wang, Kun Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Hi-C technology has been the most widely used chromosome conformation capture(3C) experiment that measures the frequency of all paired interactions in the entire genome, which is a powerful tool for studying the 3D structure of the genome. The fineness of the constructed genome structure depends on the resolution of Hi-C data. However, due to the fact that high-resolution Hi-C data require deep sequencing and thus high experimental cost, most available Hi-C data are in low-resolution. Hence, it is essential to enhance the quality of Hi-C data by developing the effective computational methods.

Results: In this work, we propose …

U.S. Senate And House Perspectives On Missile Defense Systems Opposed By Russia And China, Constance Valarie Baroudos

Walden Dissertations and Doctoral Studies

The United States and its allies and partners have deployed three missile defense systems to protect against Iranian and North Korean missile threats: the European Phased Adaptive Approach, Terminal High Altitude Area Defense, and Ground-based Missile Defense. Russia and China oppose these systems because they view them as undermining their strategic interests. The purpose of the present study was to better understand the perspectives of Senate and House Armed Services Committee HASC members about the three missile defense systems in congressional hearings. The three models of the congressional behavior model, the preference, simple party, and asymmetric categories, and neorealism and …

High School Teachers’ Experiences And Perceptions Facilitating Student Discourse And Collaborative Structures For English Language Learners In Biology, Chrissy Ann Brouwer

Walden Dissertations and Doctoral Studies

The problem that was addressed in this study was that the academic needs of English Language Learners (ELLs) were not being met in biology classes in high schools in the local district because teachers were not consistently facilitating instruction using the required strategies of student discourse and collaborative structures. The purpose of this qualitative study was to explore teachers’ successes, challenges, and need for supports when using the required strategies with their ELLs. Knowles’ theory of andragogy and Shulman’s theory of pedagogical content knowledge guided this study examining how the adults’ learning of the required strategies impacted their ability to …

Perceptions Of K–12 Educators Of Color On Ethnic Studies Curriculum And Teaching In Urban Public Schools, Tracy Castro-Gill

Walden Dissertations and Doctoral Studies

Retention of educators of color (EOC) is becoming a focal point in K–12 education because of the increasing demographic of students of color in K–12 urban public schools; however, a shortage of EOC exists in these schools in the United States due in part to disproportionate attrition rates for EOC compared to White educators. Little is known about the role curriculum may play in retaining EOC in K–12, urban public schools. The purpose of this qualitative critical narrative inquiry study was to explore how ethnic studies curriculum influences how EOC who teach ethnic studies perceive the teaching profession in K–12, …

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jiianxin Wang

Computer Science Faculty Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Validation Of A Process For Shared Decision-Making In Pediatrics, Douglas J Opel, Holly Hoa Vo, Nicolas Dundas, Heather Spielvogle, Amanda Mercer, Benjamin S Wilfond, Jonna Clark, Carrie L Heike, Elliott M Weiss, Mersine A Bryan, Seema K Shah, Carolyn A Mccarty, Jeffrey D Robinson, Jennifer Blumenthal-Barby, Jon Tilburt

Center for Medical Ethics and Health Policy Staff Publications

OBJECTIVE: We sought to confirm, refute, or modify a 4-step process for implementing shared decision-making (SDM) in pediatrics that involves determining 1) if the decision includes >1 medically reasonable option; 2) if one option has a favorable medical benefit-burden ratio compared to other options; and 3) parents' preferences regarding the options; then 4) calibrating the SDM approach based on other relevant decision characteristics.

METHODS: We videotaped a purposive sample of pediatric inpatient and outpatient encounters at a single US children's hospital. Clinicians from 7 clinical services (craniofacial, neonatology, oncology, pulmonary, pediatric intensive care, hospital medicine, and sports medicine) were eligible. …

The Moralizing Effect: Self-Directed Emotions And Their Impact On Culpability Attributions, Elisabetta Sirgiovanni, Joanna Smolenski, Ben Abelson, Taylor Webb

Center for Medical Ethics and Health Policy Staff Publications

Introduction: A general trend in the psychological literature suggests that guilt contributes to morality more than shame does. Unlike shame-prone individuals, guilt-prone individuals internalize the causality of negative events, attribute responsibility in the first person, and engage in responsible behavior. However, it is not known how guilt- and shame-proneness interact with the attribution of responsibility to others.

Methods: In two Web-based experiments, participants reported their attributions of moral culpability (i.e., responsibility, causality, punishment and decision-making) about morally ambiguous acts of killing in different conditions. In Study 1 the vignettes were presented in the 1st person, while in Study 2 in …

Using Visual Arts Education And Reflective Practice To Increase Empathy And Perspective Taking In Medical Students, Sina Rezaei, Andrew Childress, Bhavika Kaul, Kelly Magill Rosales, Alana Newell, Stacey Rose

Center for Medical Ethics and Health Policy Staff Publications

Introduction: Empathy is a critical competency for health care providers. However, empathy levels in medical students and residents have been shown to paradoxically decrease during training. Arts and humanities education and reflective practice may reduce burnout and promote empathy during medical school.

Methods: We developed and implemented an art education elective for medical students focusing on observation and reflective practice and measured its impact on empathy. Between 2017 and 2022, first-year medical students were offered an annual, 4-week elective led by art educators that featured visualization exercises and discussions on the role of bias and perspective in art interpretation. Curriculum …

Treatment And Life Goals Among Veterans With Gulf War Illness, Nicole Sullivan, Hannah Schorpp, Sarah Crosky, Scott Thien, Drew A Helmer, David R Litke, Wilfred R Pigeon, Karen S Quigley, Lisa M Mcandrew

Center for Medical Ethics and Health Policy Staff Publications

Medically unexplained syndromes (MUS), also termed persistent physical symptoms, are both prevalent and disabling. Yet treatments for MUS are marked by high rates of patient dissatisfaction, as well as disagreement between patients and providers on the management of persistent physical symptoms. A better understanding of patient-generated goals could increase collaborative goal setting and promote person-centered care, a critical component of MUS treatment; yet research in this area is lacking. This paper aimed to develop a typology of treatment and life goals among Gulf War veterans with a medically unexplained syndrome (Gulf War Illness). We examined participants’ responses to open-ended questions …

Clinician Perceptions Of Passport For Care, A Web-Based Clinical Decision Support Tool For Survivorship Care Plan Delivery, Jason E King, Michael C O'Connor, Ellen Shohet, Susan M Krause, Michael E Scheurer, Marc E Horowitz, David G Poplack, C Michael Fordis, Maria M Gramatges

Center for Medical Ethics and Health Policy Staff Publications

Background: The Children's Oncology Group Long-Term Follow-Up Guidelines provide exposure-based risks and recommendations for late effects screening of survivors of childhood cancer. Passport for Care (PFC) is a web-based clinical decision support tool for generating a personalized survivorship care plan (SCP) derived from the Guidelines and user-entered exposures. We assessed PFC clinician user practices and perceptions of PFC impact on clinic workflow, guidelines application, and survivor shared decision-making.

Procedure: A 35-item REDCap survey was emailed to all PFC users (n = 936) in 146 current and former PFC user clinics. Anonymous responses were permitted. Results were summarized and compared with …

Cannabis-Assisted Psychotherapy For Complex Dissociative Posttraumatic Stress Disorder: A Case Report, Anya Ragnhildstveit, Miriam Kaiyo, Matthew Brian Snyder, Laura Kate Jackson, Alex Lopez, Chasity Mayo, Alyssa Claire Miranda, River Jude August, Paul Seli, Reid Robison, Lynnette Astrid Averill

Center for Medical Ethics and Health Policy Staff Publications

Background: A dissociative subtype of posttraumatic stress disorder, known as "D-PTSD", has been included in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. In addition to meeting criteria for PTSD, patients endorse prominent dissociative symptoms, namely depersonalization and derealization, or detachment from one's self and surroundings. At present, this population is supported by a highly heterogeneous and undeveloped literature. Targeted interventions are therefore lacking, and those indicated for PTSD are limited by poor efficacy, delayed onset of action, and low patient engagement. Here, we introduce cannabis-assisted psychotherapy (CAP) as a novel treatment for D-PTSD, drawing parallels to psychedelic …

5-Meo-Dmt For Post-Traumatic Stress Disorder: A Real-World Longitudinal Case Study, Anya Ragnhildstveit, Ryan Khan, Paul Seli, Lisa Claire Bass, River Jude August, Miriam Kaiyo, Nathaniel Barr, Laura Kate Jackson, Michael Santo Gaffrey, Joseph Peter Barsuglia, Lynnette Astrid Averill

Center for Medical Ethics and Health Policy Staff Publications

Psychedelic therapy is, arguably, the next frontier in psychiatry. It offers a radical alternative to longstanding, mainstays of treatment, while exciting a paradigm shift in translational science and drug discovery. There is particular interest in 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT)—a serotonergic psychedelic—as a novel, fast-acting therapeutic. Yet, few studies have directly examined 5-MeO-DMT for trauma- or stress-related psychopathology, including post-traumatic stress disorder (PTSD). Herein, we present the first longitudinal case study on 5-MeO-DMT for chronic refractory PTSD, in a 23-year-old female. A single dose of vaporized bufotoxin of the Sonoran Desert Toad (Incilius alvarius), containing an estimated 10−15 mg …

Deep Brain Stimulation For Pediatric Dystonia: Clinicians' Perspectives On The Most Pressing Ethical Challenges, Kristin M Kostick-Quenet, Lavina Kalwani, Laura N Torgerson, Katrina Munoz, Clarissa Sanchez, Eric A Storch, J S Blumenthal-Barby, Gabriel Lazáro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

Introduction: Pediatric deep brain stimulation (pDBS) is commonly used to manage treatment-resistant primary dystonias with favorable results and more frequently used for secondary dystonia to improve quality of life. There has been little systematic empirical neuroethics research to identify ethical challenges and potential solutions to ensure responsible use of DBS in pediatric populations.

Methods: Clinicians (n = 29) who care for minors with treatment-resistant dystonia were interviewed for their perspectives on the most pressing ethical issues in pDBS.

Results: Using thematic content analysis to explore salient themes, clinicians identified four pressing concerns: (1) uncertainty about risks and benefits of pDBS …

“Extremely Slow And Capricious”: A Qualitative Exploration Of Genetic Researcher Priorities In Selecting Shared Data Resources, M Grace Trinidad, Kerry A Ryan, Chris D Krenz, J Scott Roberts, Amy L Mcguire, Raymond De Vries, Brian J Zikmund-Fisher, Sharon Kardia, Erica Marsh, Jane Forman, Madison Kent, David Wilborn, Kayte Spector-Bagdady

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Genetic researchers' selection of a database can have scientific, regulatory, and ethical implications. It is important to understand what is driving database selection such that database stewards can be responsive to user needs while balancing the interests of communities in equitably benefiting from advances.

Methods: We conducted 23 semistructured interviews with US academic genetic researchers working with private, government, and collaboratory data stewards to explore factors that they consider when selecting a genetic database.

Results: Interviewees used existing databases to avoid burdens of primary data collection, which was described as expensive and time-consuming. They highlighted ease of access as …

Community Engagement In Precision Medicine Research: Organizational Practices And Their Impacts For Equity, Janet K Shim, Nicole Foti, Emily Vasquez, Stephanie M Fullerton, Michael Bentz, Melanie Jeske, Sandra Soo-Jin Lee

Center for Medical Ethics and Health Policy Staff Publications

Background: In the wake of mandates for biomedical research to increase participation by members of historically underrepresented populations, community engagement (CE) has emerged as a key intervention to help achieve this goal.

Methods: Using interviews, observations, and document analysis, we examine how stakeholders in precision medicine research understand and seek to put into practice ideas about who to engage, how engagement should be conducted, and what engagement is for.

Results: We find that ad hoc, opportunistic, and instrumental approaches to CE exacted significant consequences for the time and resources devoted to engagement and the ultimate impacts it has on research. …

Payer Reimbursement Practices And Incentives For Improving Interpretation Of Germline Genetic Testing, Patricia Deverka, Janis Geary, Charles Mathews, Matan Cohen, Gillian Hooker, Mary Majumder, Zuzana Skvarkova, Robert Cook-Deegan

Center for Medical Ethics and Health Policy Staff Publications

Germline genetic testing for inherited cancer risk has shifted to multi-gene panel tests (MGPTs). While MGPTs detect more pathogenic variants, they also detect more variants of uncertain significance (VUSs) that increase the possibility of harms such as unnecessary surgery. Data sharing by laboratories is critical to addressing the VUS problem. However, barriers to sharing and an absence of incentives have limited laboratory contributions to the ClinVar database. Payers can play a crucial role in the expansion of knowledge and effectiveness of genetic testing. Current policies affecting MGPT reimbursement are complex and create perverse incentives. Trends in utilization and coverage for …