Digital Commons Network^™

Examination Of The Time Course Effects Of Electronic Cigarettes On The Thoracic Aorta, Madison Robinson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Endothelial dysfunction is a critical early marker of the pathogenesis of cardiovascular disease and a pathological biomarker in cigarette smokers. Emerging evidence finds similar cardiovascular risks resulting from electronic cigarettes (E-cig) as that seen from smoking. Logically, the time or length of exposure to E-cigs will likely influence the development of vascular dysfunction, however, the length of exposure that causes permanent damage is unknown. The goal of this study was to determine the potential window of chronic E-cig exposure that results in vascular dysfunction, which is marked by endothelial dysfunction, microvascular dysfunction, and stiffening of arteries. Based on prior chronic …

On Uncertainty For Ill-Posed Robot Decision Problems, Jared Joseph Beard

Graduate Theses, Dissertations, and Problem Reports (ETD)

As robots adopt more real world responsibilities, they will be expected to solve more complicated problems. In some cases limited prior knowledge will result in unmodelled environmental conditions; in others, multiple users may have competing perspectives on how to frame a decision problem. Many existing frameworks, namely Markov decision processes (MDP) presuppose users have identified a specific problem with models sufficient to solve or learn a problem. If we wish to extend MDPs to novel problems or those heavily dependent on user feedback, autonomous decision makers must be able to identify limitations in how a given problem is framed and …

School Counselors' Use Of Movement In Small Group And Individual Counseling Sessions, Amy Geinert

Psychology

Although there is a research base for incorporating movement into teaching and classroom lessons, there currently is a lack of research on incorporating movement into school counseling practices. The present mixed methods exploratory study aimed to identify school counselor attitudes, beliefs, and practices regarding the use of movement in individual and small group counseling sessions. A concurrent embedded strategy was utilized to survey practicing school counselors in the United States. By sharing requests through the ASCA Member Community and state school counselor association communications, study participants were invited to complete an anonymous survey online. Study participants indicated they find incorporating …

History Of Federal International Education Policy (1900-2024): A Four-Dimensional View In Action, Winda Wastu Melati

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examines the history of the evolution of United States international education policy from 1900 to 2024, employing document analysis methodology to explore key themes that have shaped its trajectory. The study utilizes Cooper et al.'s (2004) Four-Dimensional View of Policy theory (normative, structural, constituentive, and technical) to analyze the complex interplay between diplomatic objectives, economic considerations, national security concerns, immigration, internationalization of higher education, and international students in the United States. The research traces major policy shifts from early initiatives like the Boxer Indemnity Scholarship Program to post-9/11 security measures and recent administrative changes by examining primary sources …

Evaluation Of Fungicide Sensitivity And Forms Of Resistance Of Selected Diaporthe Species In Soybean (Glycine Max L.), Bijula Mankara Sureshbabu

Plant Pathology

In U.S, Diaporthe species caused yield losses of 0.2 million metric tons in soybean in 2022. Quinone outside inhibitor fungicides carry high risk of fungicide resistance and may use for managing Diaporthe. In this study, isolates of D.aspalathi, D.caulivora and D.longicolla from 16 U.S. states were tested for their sensitivity to azoxystrobin. Significant effect of isolates (P<0.05) was observed on effective concentration at which mycelial growth was inhibited by 50% (EC50). The results showed the presence of sensitive Diaporthe isolates in soybean to azoxystrobin. Moreover, resistance to stem and seed infection by D.longicolla was evaluated in 39 soybean accessions. Significant effect of genotypes was observed on disease severity of stem and seed infection (P<0.05). Correlation between disease severity of stem and seed infection was non-significant. Results indicate defense mechanism against D.longicolla during stem and seed infection may differ. These findings indicate need to determine alternative fungicide chemistries and develop Diaporthe-resistant soybean varieties.

Effects Of Synonymous And Nonsynonymous Cyp51 Mutations On Dmi Resistance In Cercospora Beticola, Isaac Courneya

Plant Pathology

Cercospora beticola is the most devastating foliar pathogen of sugar beet. This pathogen is primarily managed by the application of fungicides, including demethylation inhibitors (DMIs). Given the broad use of DMIs in managing Cercospora leaf spot, resistance has developed. Recently, five haplotypes of CbCyp51 have been correlated with DMI resistance. To improve our understanding of these haplotypes, this study has evaluated CbCyp51 expression across haplotypes with and without DMI exposure using RT-qPCR. Significant differences were found between haplotypes in control and difenoconazole groups, but the broader implications were unclear. This study also produced mutant C. beticola strains with replaced CbCyp51 …

Two Essays To Encourage Agritourism Cluster Development In The Appalachian Region: An Analysis Of Agritourism Operation Regarding Clustering And Toolkit Curriculum For Cluster Development, Oluwatoyin Adebisi

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study focused on encouraging agritourism operators in the study area to engage in clustering. Collaboration within networks and clusters is strongly encouraged as a catalyst for accelerating industrial transformation, developing regional competitive advantages, and boosting company and job creation. All these factors ultimately contribute to economic progress and prosperity. A snowball sampling method was used to survey 192 agritourism operators, with 145 responses meeting the inclusion criteria for analysis. Exploratory factor analysis was employed to identify factors contributing to agritourism business development in the selected six states. Based on a linear regression model, the findings reveal that net income …

Active Uncertainty Representation Learning: Toward More Label Efficiency In Deep Learning, Salman Mohamadi

Graduate Theses, Dissertations, and Problem Reports (ETD)

The primary goal of this dissertation is to investigate and improve the efficiency of deep learning algorithms, especially within computer vision problem domains, from the perspective of label-efficiency. This investigation showed that deep learning algorithms are mostly notorious for the lack of uncertainty representation. Accordingly, we aimed to develop an array of deep learning frameworks rich with uncertainty representation. These frameworks are mainly within two current pillars of machine learning, deep active learning and self-supervised learning. These frameworks include deep active ensemble sampling for efficient sample selection within deep active learning, a two-stage ensemble-based general self-training approach for existing visual …

Foreign Policy Reorientation: From Globalization To Nationalism, Abdullah A. Asiri

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores the foreign policy implications of the post-2010 resurgence of nationalism in the U.S., Europe, and other parts of the world. It explores the reorientation of foreign policy away from globalization and the post-Cold War expectations that include a rules-based order, the spread of democracy and human rights, and the free movement of capital, products, people, and information. Instead, the emerging nationalist foreign policies emphasize independence and national sovereignty, economic self-sufficiency and protectionism, and anti-democracy and universal values. These policies are also characterized in terms of limited and unilateral engagement and proneness to conflict and confrontation. This dissertation …

A Randomized Controlled Trial Of Group Telehealth Workshops Based On Parent-Child Interaction Therapy For Caregivers Of Children With Autism Spectrum Disorder, Erinn J. Victory

Graduate Theses, Dissertations, and Problem Reports (ETD)

Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with various symptoms that interfere with functioning requiring intensive early intervention; however, many families experience barriers to accessing behavioral services due to provider shortages, cost of treatment, and lack of transportation. Parent-Child Interaction Therapy (PCIT) has demonstrated effectiveness as a supplemental treatment for disruptive behaviors in children on the autism spectrum. The current study aims to determine the efficacy of a 2-day group telehealth parent-only workshop based on PCIT for improving caregivers’ use of positive parenting skills, child disruptive behavior, compliance to caregiver commands, and child psychosocial functioning. Thirty-three caregivers and …

Isabella: An Eternal Badass An Actor’S Exploration On Healing, Forgiveness, And Learning To Embrace The Messiness Through Isabella In William Shakespeare’S Measure For Measure, Shelby E. Garrett

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis not only delves into the acting methods used to portray Shakespeare's Isabella in West Virginia University's spring 2023 production of Measure for Measure, but also examines the innovative approach of interpreting the character through the perspective of an older actor. It will examine acting techniques such as Meisner, Fitzmaurice Voicework®, yoga, and chakra work, detailing their influence on character development. From audition to performance, this document will track my journey, capturing personal insights through journal entries, sound bites, and images that helped in shaping a more mature Isabella. Additionally, it explores how actors navigate personal challenges during …

Light-Assisted 3d Printing Of Continuous Carbon Fiber Reinforced Thermoset Composites, Md Zahirul Islam

Mechanical Engineering and Applied Mechanics

Polymer 3D printing has become an emerging manufacturing technique, due to its design flexibility, however its application to produce structural components is still limited due to the poor mechanical strength and thermal stability of most 3D printed parts. Because of the superior mechanical strength of carbon fiber, 3D printing of continuous carbon fiber reinforced thermoset composites have recently been studied overcome this barrier of mechanical strength and thermal stability. Light- curing based 3D printing of continuous carbon fiber shows a promising potential, however this process also has limitations in making custom object due to fiber loop creation as the nozzle …

An Examination Of Selected Chinese Ethnic Choral Music From Inner Mongolia, Yunnan Province, And Central Plains Area, Kewen Cheng

Music

The landscape of choral music in modern China is characterized by a rich and varied repertoire, despite its relatively brief history within the nation. Diverging from the trajectories of traditionally Christian countries, the evolution of Chinese choral music has been shaped by unique historical, social, religious, and folk music traditions. This paper embarks on an examination of selected Chinese ethnic choral music, commencing with an overview of the development path of Chinese choral music in Chapter One. It then delves into an analysis of choral traditions across three distinct ethnic regions in the following three chapters. Each of them is …

Improving Nitrogen Management, Including The Use Of Cover Crops, In North Dakota Cropping Systems, Brady Goettl

Natural Resources Management

Crop production in North Dakota covers nearly 64 million ha, playing a crucial role in the state’s economy. However, wide-spread agriculture also poses environmental risks resulting from soil erosion and loss of N to ground and surface water. To address these concerns, agriculturists must adopt practices to decrease soil erosion and responsibly manage N. Between 2020 and 2024, several studies in North Dakota focused on improving N management in two-row malting barley (Hordeum vulgare L.), explored opportunities for cover crop integration, and assessed the rotational impact cover crops on crop productivity and soil factors. Research indicated N recommendations ranging from …

Identification, Investigation, And Spatial Analysis Of Various Contributing Factors To Crash And Injury Severity In Different Crash Types, Ihsan Khan

Transportation Logistics and Finance

This dissertation had three main objectives related to improving road safety by investigating factors that contribute to injury severity in different types of single-vehicle crashes. The first objective was to develop a generalized ordered logit model to examine factors affecting injury severity of occupants in single-vehicle rollover crashes using 5 years of U.S. crash data from 2012-2016. Results showed likelihood of serious/fatal injuries increased in rollovers with occupant ejection, speeding, higher speed limits, roadside/median rollovers, undulating terrain, blacktop surfaces, rural roads, evenings, weekdays, older drivers, lack of occupant protection, previous driver crashes, distracted/aggressive driving, and passenger cars. Airbag deployment reduced …

Graph Two-Sample Test Via Empirical Likelihood, Ting Zou

Statistics

In the past two decades, there has been a notable surge in network data. This proliferation has spurred significant advancements in methods for analyzing networks across various disciplines, including computer science, information sciences, biology, bioinformatics, physics, economics, sociology, and health science. Graph two-sample hypothesis testing, aimed at discerning differences between two populations of networks, arises naturally in diverse scenarios. In this paper, we delve into the essential yet intricate task of testing for equivalence between two networks. There are many testing procedures available. For instance, the t-test based on subgraph counts is one of the methods. In this paper, we …

Mass Political Murder: What And Where Is The Hate?, Clark Mccauley

Psychology Faculty Research and Scholarship

This article explores the meaning and importance of hate in intergroup conflict, especially in conflict that moves to genocide or politicide. Review of controversies in defining hate leads to definition of hate as an extreme form of negative identification that includes perception of bad essence. Negative identification is inverse caring for others, as seen in studies of schadenfreude and gluckschmerz. Studies of dehumanization suggest that two forms of bad essence can be distinguished: evil human (entitativity essentializing) and infrahuman animal (natural kind essentializing). Studies also show that those who essentialize more are more ready to punish indiscriminately all …

Prevalence And Determinants Of Diarrhoea And Acute Respiratory Infections Among Children Aged Under Five Years In West Africa: Evidence From Demographic And Health Surveys, Derrick Nyantakyi Owusu, Henry Ofori Duah, Duah Dwomoh, Yakubu Alhassan

College of Nursing Faculty Research and Publications

Background Diarrhoea and pneumonia are the leading causes of morbidity and mortality in children aged < 5 y (under five) globally. This study sought to investigate the prevalence and determinants of diarrhoea and acute respiratory infections (ARIs) among children under five in West Africa. Methods The most recent demographic and health survey (DHS) standard for 13 West African countries was used in the study. We calculated the prevalence of diarrhoea and ARIs (2 wk prior to the survey) and performed multivariable complex logistic regression analysis to identify possible predictors of diarrhoea and ARIs. Results The weighted prevalence of diarrhoea and ARI was 13.7% and 15.9%, respectively. The prevalence of comorbid diarrhoea and ARI was 4.4%. Children aged < 2 y (p< 0.001), mothers aged < 30 y (p< 0.003), mothers without formal education (p< 0.001), poor households (p< 0.001) and poor nutritional status, wasting (p=0.005) and underweight (p< 0.001), were the independent predictors of diarrhoea. The independent predictors of ARIs were children with no childhood vaccinations (p=0.002), use of solid fuel in the household (p=0.007), being underweight (p=0.05) and diarrhoea (p< 0.001). Conclusions The findings imply the need for holistic public health interventions such as increased vaccination coverage, population-based nutritional programmes and campaigns on the use of cleaner cooking fuel targeted at high-risk subgroups in the population to reduce the burden and adverse effects of diarrhoea and ARIs in the West African region.

Process Of Maintaining Self In Individuals Living With Systemic Sclerosis: A Grounded Theory Study Of American Women, Donald D. Miller, Jennifer J. Doering

College of Nursing Faculty Research and Publications

Background: People with chronic illnesses may struggle to adapt psychologically to the illness experience and have feelings of identity loss, self-diminishment, and biographical disruption. This may limit people’s ability to engage in optimal selfmanagement. Systemic sclerosis is a debilitating, stigmatizing, and life-limiting progressive chronic illness with significant disfiguring effects. Little is known about the identity management process in people with disfiguring and debilitating conditions such as systemic sclerosis.

Purpose: The purpose of this study was to generate a grounded theory explicating the process of maintaining a sense of self in people living with systemic sclerosis.

Methods: Fifteen women with systemic …

Hack24f: Careplus: Ai Chatbot, Arianna Fernandez, Sophia Cherkaoui

Paul English Applied Artificial Intelligence (AI) Institute Publications

90% of patients Google symptoms before they talk to their doctor. What are we developing? An app that asks for user symptoms and personal information, users AI to determine medical conditions and provides a plan of action, including recommended medications and suggested doctors to visit.

Hack24f: Llms And World Knowledge Problems, Chengtaon Lin, Joseph Lobo, Huuthanhvy Nguyen, Brian Santos, Ting Xu

Paul English Applied Artificial Intelligence (AI) Institute Publications

While AI “hallucinations” have been widely publicized by the media as shortcomings of Large Language Models (LLMs), there is much less awareness about shortcomings that derive from the potential lack of understanding of the world, from a potential lack of commonsense knowledge. We want to raise awareness among our student body about the potential fallibility of LLMs when they the problems that they need to solve require a basic understanding of the world. We hope that this awareness will prompt everyone to question more carefully the outputs generated by LLMs.

Hack24f: The Empathy Architects, Michael Rejtig, Ajanee Igharo, Emma Kelminson, Jackson Comeau

Paul English Applied Artificial Intelligence (AI) Institute Publications

Problem Statement: We want to help patients from underserved communities feel more safe, respected and comfortable in interacting with healthcare providers during the initial in-person encounters while also helping providers build empathy and implement socio-emotionally competent communication behaviors. Solution: Empathy Evolution is an AI-powered role-playing game that helps patients simulate their ideal communication with healthcare providers.

Recent Progress In Microrna Detection Using Integrated Electric Fields And Optical Detection Methods, Logeeshan Velmanickam, Dharmakeerthi Nawarathna

Electrical & Computer Engineering Faculty Publications

Low-cost, highly-sensitivity, and minimally invasive tests for the detection and monitoring of life-threatening diseases and disorders can reduce the worldwide disease burden. Despite a number of interdisciplinary research efforts, there are still challenges remaining to be addressed, so clinically significant amounts of relevant biomarkers in body fluids can be detected with low assay cost, high sensitivity, and speed at point-of-care settings. Although the conventional proteomic technologies have shown promise, their ability to detect all levels of disease progression from early to advanced stages is limited to a limited number of diseases. One potential avenue for early diagnosis is microRNA (miRNA). …

Different Visions From Biosview: A Brief Report, Lucas N. Potter, Xavier-Lewis Palmer

Electrical & Computer Engineering Faculty Publications

In this collaborative research endeavor at the intersection of biological safety and cybersecurity for BiosView labs, the authors highlight their engagement with a diverse student cohort. The chapter delves into the motivation behind collaborations extending beyond traditional academic research environments, emphasizing inclusivity. The meticulous examination of student demographics, including gender, self-reported ethnicity, and national origin, is detailed in the methodology. A student-centric approach is central to the exploration, focusing on aligning teaching and management styles with unique student needs. The chapter elaborates on effective teaching methodologies and management practices tailored for BiosView labs. A dedicated section emphasizes the purpose of …

Domain Adaptive Federated Learning For Multi-Institution Molecular Mutation Prediction And Bias Identification, W. Farzana, M. A. Witherow, I. Longoria, M. S. Sadique, A. Temtam, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Deep learning models have shown potential in medical image analysis tasks. However, training a generalized deep learning model requires huge amounts of patient data that is usually gathered from multiple institutions which may raise privacy concerns. Federated learning (FL) provides an alternative to sharing data across institutions. Nonetheless, FL is susceptible to a few challenges including inversion attacks on model weights, heterogenous data distributions, and bias. This study addresses heterogeneity and bias issues for multi-institution patient data by proposing domain adaptive FL modeling using several radiomics (volume, fractal, texture) features for O6-methylguanine-DNA methyltransferase (MGMT) classification across multiple institutions. The proposed …

Deapsecure Computational Training For Cybersecurity: Progress Toward Widespread Community Adoption, Wirawan Purwanto, Bahador Dodge, Karina Arcaute, Masha Sosonkina, Hongyi Wu

Electrical & Computer Engineering Faculty Publications

The Data-Enabled Advanced Computational Training Program for Cybersecurity Research and Education (DeapSECURE) is a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. Since 2020, these lesson modules have been updated and retooled to suit fully-online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, we summarize the four years of the project comparing in-person and on-line only instruction methods as well as outlining …

Beyond Binary: Revealing Variations In Islamophobic Content With Hierarchical Multi-Class Classification, Esraa Aldreabi, Khawlah M. Harahsheh, Mukul Dev Chhangani, Chung-Hao Chen, Jeremy Blackburn

Electrical & Computer Engineering Faculty Publications

In the digital age, the rise of Islamophobia-marked by an irrational fear or discrimination against Islam and Muslims-has emerged as a pressing issue, especially on social media platforms. In this paper we employs a multi-class classification system, moving beyond traditional binary models. We categorize Islamophobic content into three main classes and various subclasses, covering a range from subtle biases to explicit incitement. Comparative analysis of data from Reddit and Twitter illuminates the distinct prevalence and types of Islamophobic content specific to each platform. This paper deepens our understanding of digital Islamophobia and provides insights for crafting targeted online counter strategies. …

Toward Inclusivity: Rethinking Islamophobic Content Classification In The Digital Age, Esraa Aldreabi, Mukul Dev Chhangani, Khawlah M. Harahsheh, Justin M. Lee, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

In this paper, we implement a comprehensive three-class system to categorize social media discussions about Islam and Muslims, enhancing the typical binary approach. These classes are: I) General Discourse About Islam and Muslims, II) Criticism of Islamic Teachings and Figures, and III) Comments Against Muslims. These categories are designed to balance the nuances of free speech while protecting diverse groups like Muslims, ex-Muslims, LGBTQ+ communities, and atheists. By utilizing machine learning and employing transformer-based models, we analyze the distribution and characteristics of these classes in social media content. Our findings reveal distinct patterns of user engagement with topics related to …

Runtime Performance Of Gamess Quantum Chemistry Application Offloaded To Gpus, Masha Sosonkina, Gabriel Mateescu, Peng Xu, Tosaporn Sattasathuchana, Buu Pham, Mark S. Gordon, Sarom S. Leang

Electrical & Computer Engineering Faculty Publications

Computational chemistry is at the forefront of solving urgent societal problems, such as polymer upcycling and carbon capture. The complexity of modeling these processes at appropriate length and time scales is mainly manifested in the number and types of chemical species involved in the reactions and may require models of several thousand atoms and large basis sets to accurately capture the chemical complexity and heterogeneity in the physical and chemical processes. The quantum chemistry package General Atomic and Molecular Electronic Structure System (GAMESS) has a wide array of methods that can efficiently and accurately treat complex chemical systems. In this …

Real-Time Spectroscopic Ellipsometry For Flux Calibrations In Multi-Source Co-Evaporation Of Thin Films: Application To Rate Variations In Cuinse₂ Deposition, Dhurba R. Sapkota, Balaji Ramanujam, Puja Pradhan, Mohammed A. Razooqi Alaani, Ambalanath Shan, Michael J. Heben, Sylvain Marsillac, Nikolas J. Podraza, Robert W. Collins

Electrical & Computer Engineering Faculty Publications

Flux calibrations in multi-source thermal co-evaporation of thin films have been developed based on real-time spectroscopic ellipsometry (RTSE) measurements. This methodology has been applied to fabricate CuInSe₂ (CIS) thin film photovoltaic (PV) absorbers, as an illustrative example, and their properties as functions of deposition rate have been studied. In this example, multiple Cu layers are deposited step-wise onto the same Si wafer substrate at different Cu evaporation source temperatures (TCu). Multiple In₂Se₃ layers are deposited similarly at different In source temperatures (TIn). Using RTSE, the Cu and In₂Se₃ deposition rates are determined as …