Addressing Algorithmic Bias In Ai Journalism: A Toolkit For More Equitable Coverage Of Marginalized Communitie, Sierra Monet Worden

Graduate Theses, Dissertations, and Problem Reports (ETD)

This project addresses a critical gap in journalism reporting concerning the use of artificial intelligence (AI) when covering stories on marginalized communities. Partially as it relates to the bias that exists in artificial intelligence algorithms, and the lack of training that exists for the implementation of these tools. Journalists play a crucial role in providing accurate and fair information on marginalized communities, yet the implementation of AI presents a set of all new challenges and allows opportunities for more bias to make its way into news coverage. Existing resources for reporting focus more on ethics and less on how to …

Machine Learning-Based Prediction Of Heavy-Duty Diesel Engine Emissions And Comparative Analysis Against Statistical Models, Abdullah Ahmad Khan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increasing stringency of emissions regulations for heavy-duty (HD) diesel engines necessitates the development of accurate, efficient, and general predictive models for engine-out emissions under steady-state operating conditions. Traditional statistical approaches, while computationally efficient, often fail to capture the inherent nonlinear relationships between the engine operating parameters and emissions formation. In contrast, machine learning (ML) techniques offer a promising alternative by learning the complex patterns directly from experimental data. The present thesis summarizes a comprehensive study on the prediction of steady-state, HD diesel engine emissions using ML models, along with a comparative analysis against conventional statistical modeling approaches.

A high-quality …

Simulation Optimization Of Intermodal Freight Transportation Under Disruptions, Israt Humayra

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rapid growth in freight transportation in modern supply chains has led to increased operational costs, congestion, and severe environmental impacts, especially greenhouse gas emissions. Combining different modes, such as highway, railway, and waterway, intermodal transportation could thus offer considerable benefit to improve efficiency, sustainability, and resilience. However, most existing planning approaches rely on simplified assumptions, fixed schedules, and average cost estimates, making them less relevant to dealing with real-world uncertainties and disruptions. This study develops a simulation-optimization framework for intermodal freight transportation under disruption. We develop a mixed-integer programming model to represent an intermodal logistics planning framework on a multi-layered …

Do You Walk On By? The Effects Of Donor Fatigue On Willingness To Donate, Shawn Michael Henry

Graduate Theses, Dissertations, and Problem Reports (ETD)

Donation solicitation literature validates the successful usage of various solicitation tactics that lead to achieving set donation goals for their associated cause. Yet, while the financial success of “checkout charity” is well-documented, a significant gap remains regarding the impact of high-frequency solicitations on long-term consumer-brand relationship. This research addresses this gap. Over the span of three surveys, this study finds that donation request frequency overall erodes donation likelihood through donor fatigue when donation frequency changes (occasional vs. always). However, this relationship is moderated by the perceived consumer base, with a larger perceived consumer base exacerbating the “diffusion of responsibility.” Further, …

Data-Driven Methodologies For Mapping Cultural Heritage: The Case Of The National Coal Heritage Area, West Virginia, Usa, Hossain Mohammad Nahyan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation was to develop a comprehensive, data-driven spatial framework for characterizing the complex cultural landscape of the National Coal Heritage Area (NCHA) in West Virginia. By transitioning away from traditional, heuristic spatial mapping, this research integrates advanced spatial statistics, machine learning, and GIS-based methodologies to objectively quantify the physical, visual, and cultural dimensions of the post-mining environment. The research is structured around three interconnected empirical studies, each addressing a specific scale of the Landscape Character Assessment (LCA) framework to support heritage conservation and sustainable spatial planning. The first paper focused on landform classification, developing an automated …

Three Essays In Cpi Bias And Health Economics, Auderta Amoako-Nuamah

Graduate Theses, Dissertations, and Problem Reports (ETD)

The first essay estimates bias in the Consumer Price Index (CPI) for elderly individuals in the United States using Engel curve methodology and household-level data from the Panel Study of Income Dynamics (1999–2023). The analysis focuses on how well the CPI reflects changes in the cost of living for older Americans, with particular attention to differences by gender and marital status. Results show that from 1999–2011, the CPI overstated the increase in the cost of living for both elderly and non-elderly households. In contrast, from 1999–2023, the CPI understated cost increases, with the bias generally larger for non-elderly households. Within …

Back To The Office Or Out The Door: The Impact Of Return-To-Office Mandates On Employee Well-Being And Turnover Intention, Charlotte Renee Nelson

Graduate Theses, Dissertations, and Problem Reports (ETD)

The widespread adoption of remote work during the COVID-19 pandemic significantly altered traditional workplace arrangements. As organizations increasingly implement RTO mandates, questions have emerged about how these changes affect employee well-being and turnover intentions. Guided by the Job Demands–Resources framework, this study examined the relationship between RTO mandates and two employee outcomes: employee well-being and turnover intention. The study also tested whether work engagement mediated these relationships and whether perceived organizational support and work stressors moderated the relationship between RTO mandates and work engagement.

A quantitative, non-experimental, cross-sectional survey design was employed. Data were collected from 229 U.S. employees working …

Geospatial Analysis Of Sinkhole Density And Characteristics In West Virginia, Marissa Shannon Loftus

Graduate Theses, Dissertations, and Problem Reports (ETD)

Creation of a sinkhole map of West Virginia provides useful data to help identify areas susceptible to sinkhole related hazards, as well as allowing for detailed analysis of factors controlling karst development. Newly available, statewide LiDAR-derived digital elevation data have made mapping sinkholes over larger spatial extents feasible. For this study, sinkholes were mapped for all areas of West Virginia that are underlain by carbonate rocks; then the distribution and characteristics were evaluated overall and in four focus areas (Berkeley and Jefferson counties, Pendleton County, Greenbrier County, and Monroe County). These areas correspond to broader physiographic regions, with Berkeley, Jefferson, …

Comparison Of Push-Pull Air Curtain To Overhead Downdraft Systems On Aerosol Containment And Distribution In Controlled Environments, Manal Mutairi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Comparison of Push-Pull Air Curtain to Overhead Downdraft Systems on Aerosol Containment and Distribution in Controlled Environments.

This dissertation looks at the ongoing issue of tiny airborne particles created during medical and dental procedures and evaluates ways to reduce the risk of exposure for healthcare workers and patients to these particles. The first study focuses on the size, how long particles stay in the air, and how far they travel from common medical procedures that create aerosols, showing that tiny particles (less than 5 µm) can stay in the air long enough to escape basic droplet controls. As a …

An Evidence-Based Practice Initiative To Promote Debriefing Within The Obstetrics Surgical Team, Rachel Lynn Runatz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction: Operating room debriefing is an evidence-based strategy shown to improve communication, efficiency, patient safety, and safety culture; however, debriefing is inconsistently performed in obstetric operating rooms due to workflow, cultural, and time-related barriers.

Purpose: The purpose of this Doctor of Nursing Practice (DNP) project was to increase the frequency of debriefings in the Birthing Center operating rooms at WVU Medicine Children’s Hospital through implementation of a nurse-driven, evidence-based debriefing initiative.

Intervention: A nurse-driven debriefing protocol was implemented using the Iowa Implementation for Sustainability Framework. Interventions included staff education, accessible laminated debriefing documents, identification of nurse champions, leadership support, and …

Increasing Documentation Of Endotracheal Tube Cuff Pressures: A Quality Improvement Initiative For Flight Crew Providers, Matthew D. Noss

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Background: There was a lack of documentation of endotracheal tube (ETT) cuff pressures (CPs) by flight crew providers at Base 1 of HealthNet Aeromedical Services. A three-month pre-intervention data collection showed 1.8% of patients had initial CPs documented. Inadequate documentation and monitoring of ETT CPs can lead to patient complications such as tracheal injury and aspiration making this an important area for quality improvement.

Purpose: To increase documentation of ETT CPs through education and evidence-based interventions.

Intervention: This project implemented an educational in-service on ETT cuff syringe manometry for flight crew providers. The educational intervention consisted of …

Resilience And Reactivity: The Relation Between John Henryism And Cardiovascular Responses To Laboratory Stressors In An Appalachian Sample, Emma Raycher Thompson

Graduate Theses, Dissertations, and Problem Reports (ETD)

John Henryism active coping (JHAC), named for folk hero John Henry, is defined as the perception that one can overcome stressors through hard work (James et al., 1983). This construct has been tied to numerous health outcomes, showing a negative influence on cardiovascular health (Bennett et al., 2004). Many researchers have examined the relation between JHAC and cardiovascular reactivity to stress, though findings are mixed. Further, despite the legend of John Henry occurring in Appalachia, and traits associated with John Henryism, such as resilience, being prominent within this region, no study has examined the relation between JHAC and reactivity in …

Do Transdiagnostic Factors Predict Emotion Recognition?, Grace L. Wheeler

Graduate Theses, Dissertations, and Problem Reports (ETD)

While emotion recognition deficits have been found in several anxiety and related disorders (e.g., social anxiety, obsessive-compulsive), consistent results have not been established. To clarify the relationship between emotion recognition abilities and anxiety, the current study tested if transdiagnostic factors related to anxiety are predictors of emotion recognition abilities. Data was analyzed from participants (N = 188) recruited via CloudResearch; they completed measures of three transdiagnostic factors related to anxiety (e.g., anxiety sensitivity, intolerance of uncertainty, and rumination), followed by an emotion recognition task. Multiple regression analyses revealed higher levels of anxiety sensitivity predicted worse recognition for anger, disgust, …

Real-Time Lidar-Based Vehicle Detection Using Pointpillars For Connected And Automated Vehicle Applications, Jared Townsend Behr

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work explores the implementation of a real-time LiDAR processing model for autonomous vehicle design. Automotive perception systems are becoming increasingly important as Advanced Driver Assistance Systems (ADAS) and Connected and Automated Vehicle (CAV) technologies continue to progress toward higher levels of autonomy. Reliable perception is paramount for autonomous features, such as adaptive cruise control (ACC), where identifying and tracking a lead vehicle is a safety critical task.

Many production ADAS perception systems primarily rely on radar and camera sensors for object detection and sensor fusion. These sensors work well to achieve classification and accurate distance detections; however, they are …

Mechanisms Of Glyphosate Toxicity: Uptake, Mitochondrial Function, And Metabolism, Dionysios Patriarcheas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Glyphosate, the most widely used herbicide in the world, is an inhibitor of chorismate biosynthesis, the precursor of aromatic amino acids. The target of glyphosate is absent in animals, but findings reporting toxicity in model organisms without a known mechanism or target are increasing. Saccharomyces cerevisiae is a useful and versatile model for understanding molecular mechanisms of toxicity. In yeast, previous work has shown that the aspartate/glutamate permease Dip5 is the proposed transporter for glyphosate and that mitochondrial metabolism has been implicated in response to glyphosate toxicity. This dissertation aimed to identify the effects of glyphosate on mitochondrial function through …

Improving Access To Care And Utilization Of Telehealth In Pediatric Inflammatory Bowel Disease Patients Through Scheduling Interventions: A Quality Improvement Project, Sarah R. Bergstrom

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Improving Access to Care and Utilization of Telehealth in Pediatric Inflammatory Bowel Disease Patients Through Scheduling Interventions: A Quality Improvement Project

Sarah Bergstrom

Introduction/Background. Inflammatory bowel disease (IBD) tends to affect pediatric patients with a more severe, aggressive phenotype as compared to adults. Following closely with a pediatric gastroenterologist (GI) is best practice to manage pediatric IBD. However, pediatric subspecialty clinics are generally located within academic institutions in urban areas. Patients in rural areas often have limited access to pediatric GI care, and poor access to care is associated with increased risk of poor disease control. Telehealth subspecialty …

Embodiment Among Collegiate Women Athletes: The Perceived Impact On Sport Performance, Commitment, And Enjoyment, Hannah Lynne Silva-Breen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Collegiate women athletes report high rates of body dissatisfaction and wanting more support for improving their body image within their athletic departments. Guided by the Developmental Theory of Embodiment (DTE; Piran, 2017), the purpose of this study was to examine collegiate women athletes’ perceptions of the relationship between their embodiment and aspects of their sport experience. Participants were 311 women currently competing in 24 different sports within NCAA and NAIA athletics. Participants completed the Experience of Embodiment Scale, Subjective Performance Questionnaire, Sport Commitment Questionnaire-2, and open-ended response questions about the perceived relationship between these variables. A convergent parallel mixed methods …

Evaluation Of The Antimicrobial Activity Of Four Endodontic Sealers Against Streptococcus Mutans And Enterococcus Faecalis Using The Agar Diffusion Test, Dakota Alan Bailey

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Evaluation of the Antimicrobial Activity of Four Endodontic Sealers Against

Streptococcus mutans and Enterococcus faecalis Using the Agar Diffusion Test

Dakota A. Bailey, D.D.S.

Introduction: The antimicrobial activity of root canal sealers may contribute to the elimination of residual microorganisms that persist following chemomechanical preparation. Limited research has directly compared contemporary bioceramic sealers with traditional sealers against both Streptococcus mutans and Enterococcus faecalis. NeoSEALER EzFlo is a recently introduced bioceramic sealer with limited published antimicrobial data. The purpose of this study was to evaluate the antimicrobial activity of EndoSequence BC HiFlow, NeoSEALER EzFlo, AH Plus Jet, and Kerr Pulp …

Implementation Of A Ventilator-Associated Pneumonia Bundle To Reduce The Incidence Of Ventilator-Associated-Pneumonia And Improve Patient Care, Taylor Ryan Rice

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction: Ventilator-associated pneumonia (VAP) is a concerning complication that can

develop from complications when a patient is placed on a mechanical ventilator. Endotracheal

intubation puts patients at risk for micro aspiration, which can lead to VAP.

Evidence Review: Nine articles were selected for review; after critical appraisal, seven were

kept for further review. Evidence in these articles shows that using evidence-based methods in a

VAP bundle can decrease the length of stay, mechanical ventilator days, and the incidence of

VAP.

Purpose: The purpose of this project was to improve oral care for intubated patients and keep

the incidence of VAP …

Provider Satisfaction Between General Dentists And Endodontists, Vaidehi Kumar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Purpose: Burnout and low professional fulfillment are major issues for dental providers, impacting their well-being, patient care, and workforce stability. While burnout has been widely studied in dentistry, less is known about professional fulfillment and how it varies by specialty and work environment. This cross-sectional study compared professional fulfillment and burnout between general dentists and endodontists, and examined how practice setting, demographics, and job factors affect occupational well-being. Methods: Licensed dentists (n=147; 72 general dentists and 75 endodontists) participated in an anonymous online survey. The Professional Fulfillment Index (PFI) was used to measure three sub-domains: Professional Fulfillment, Interpersonal Disengagement, and …

I Think, Therefore I Can: Self-Efficacy, Self-Regulation, And Sense Of Belonging In Introductory Physics, Danielle Christine Maldonado

Graduate Theses, Dissertations, and Problem Reports (ETD)

Cognitive and affective beliefs in physics classrooms are important indicators of student success beyond traditional measurements of academic performance. This body of work explores major beliefs and processes, including self-efficacy, self-regulation, and sense of belonging, as they relate to academic achievement among introductory undergraduate physics students. First, this dissertation explores the development of physics self-efficacy and physics sense of belonging, two highly correlated variables. This work identifies unique sources of physics self-efficacy and sense of belonging development from current and prior academic experiences, personality factors, and demographic variables. Then, relationships between early- semester self-efficacy and sense of belonging, mid-semester …

Smartbot V3: A Scalable Educational And Research Robotics Platform And Decentralized Construction Framework, Robert Tyler Cook

Graduate Theses, Dissertations, and Problem Reports (ETD)

Autonomous robotic systems are increasingly used in both engineering education and robotics research, creating a need for systems capable of supporting both within a common platform. This thesis presents SMARTbot V3, a scalable robotics platform developed to support undergraduate robotics education and multi-robot research.

SMARTbot V3 is a differential-drive mobile manipulator incorporating a 3-degree-of-freedom manipulator, LiDAR, RGB cameras, onboard computation, and Robot Operating System 2 (ROS2) software. The platform was designed to support scalable deployment through standardized hardware, modular construction, and common software. A fleet of twenty robots was manufactured and deployed for both educational and research activities. Educational validation …

‘She Dared Not’: Authority In The Monasteries Of The Diocese Of Lincoln, 1400-1540, Morgan Mcminn

Graduate Theses, Dissertations, and Problem Reports (ETD)

Within monastic life, the Benedictine Rule prioritized the role of the abbot, and much of the everyday running of the house was left to his discretion. He was the elected father of the community, the pastor of the flock, the educator who instructed by word and example. He should discipline firmly but be loved and not feared, and he should play no favorite but rather adapt to the situation at hand. His brethren should obey him without question as the representative of Christ in the monastery, their self-will and earthly possessions submitted to him. These elements are also present in …

Assessment Of Emissions Factors For Produced Water And Other Atmospheric Liquid Storage Tanks On Natural Gas Sites, David Glenn Childs

Graduate Theses, Dissertations, and Problem Reports (ETD)

As the US natural gas (NG) sector continues to grow, concerns have increased regarding the effects and increasing volume of greenhouse gases emitted into the atmosphere. While NG is a cleaner burning fuel than diesel and gasoline, unburned methane (CH₄) has a global warming potential (GWP) 27-30 times that of carbon dioxide (CO₂). To better quantify CH₄ emissions on NG sites, the US Department of Energy (DOE) granted West Virginia University (WVU) funding to collect direct measurements at well sites and compressor stations.

In this work, a total of 18 sites, including controlled and uncontrolled …

Constructing The 'Other': A Cda Of Social Actor Representation And Agency Attribution In The New York Times Reporting On Palestine And Israel (2023–2025), Faithlyn H. Graham

Graduate Theses, Dissertations, and Problem Reports (ETD)

Media organizations play a central role in shaping public understanding of international conflict. Following the publication of a leaked internal editorial memorandum from The New York Times in 2024 advising reporters to avoid terms such as "genocide," "ethnic cleansing," and "occupied territory," questions emerged regarding institutional influence and ideological framing in coverage of the Palestinian and Israeli conflict. This study examined how The New York Times discursively constructed the conflict between October 7, 2023, and October 10, 2025, using Critical Discourse Analysis (CDA) informed by KhosraviNik's (2010) three-level analytical framework. A purposive sample of 119 hard-news articles was analyzed using …

Evaluation Of Engineering Controls In Mitigation Of Fecal And Chloride Contamination To An Urban Stream, Gabriel J. Zenny

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fecal coliform contamination is a major contributor to surface water pollution in the United States’ (U.S.) waterways, whether from combined sewer overflows (CSOs) (point source pollution), runoff from precipitation and snowmelt (nonpoint source pollution), or exfiltration from aging and failing infrastructure. In addition to fecal bacteria, chloride contamination is also a major, prevalent surface water contaminant impacting U.S. waterways. Chloride contamination is predominantly released into U.S. waterways as nonpoint source pollution, endemic to northern areas that use industrial brine and salt as a form of mitigation for ice accumulation on roadways. The purpose of this research was to investigate impairment …

Influences Of Response Rate And Distribution On Accuracy Estimates: The Value Of Replications Based On Analytic Approach, Olivia Brianne Harvey

Graduate Theses, Dissertations, and Problem Reports (ETD)

Accurate observational data are essential for drawing correct conclusions about behavioral phenomena and ensuring the replicability of research findings. Accuracy is the extent to which an observer’s recorded responses correspond with true values (i.e., the actual occurrence of behavioral events). Correspondence is quantified using one of several percentage-based algorithms. However, these accuracy estimates may be influenced by characteristics of the data, such as response rate and response distribution, as well as the algorithm used to calculate them. The purpose of this dissertation was to evaluate how response rate, response distribution, and the algorithm used to evaluate accuracy influences estimates. Across …

Dataless Neural Networks For Boolean Satisfiability And Network Optimization, Andrew Evan Gautier

Graduate Theses, Dissertations, and Problem Reports (ETD)

Combinatorial optimization problems (COPs) require searching over a finite solution space subject to constraints, with the goal of satisfying an objective function. They arise in operations research, scheduling, resource allocation, circuit design, and many other fields. Many problems in combinatorial optimization (including satisfiability and network design) are NP-hard. Traditionally, researchers have built approximate solvers that return near- optimal solutions efficiently by developing increasingly sophisticated heuristics and meta- heuristics. Deep learning has provided new opportunities for improving combinatorial solvers by leveraging neural guidance to prune the search space. Traditional neural networks have distinct drawbacks in this context: separate training and …

Physics-Informed Machine Learning Methods To Predict Heavy-Duty Diesel Engine Performance And Emissions, Sandeep Guguloth

Graduate Theses, Dissertations, and Problem Reports (ETD)

The development of internal combustion engines for increased efficiency and reduced emissions demands improved design tools that are cost-effective, fast, and easy to integrate into existing engineering workflows. Low-dimensional physically based engine models serve this role by reducing the need for iterative experimental prototyping but historically rely on empirical correlations that sacrifice fidelity compared to CFD. Machine learning (ML) approaches, conversely, achieve high predictive accuracy but lack interpretability and generalize poorly beyond their training data. Physics-informed machine learning (PIML) bridges this gap by constraining the solution space to physically feasible predictions, offering a more reliable way to model in-cylinder phenomena. …

Multi-Timescale Monitoring And Modeling For Resilient Smart Grids: Pmu Anomaly Detection And Battery Digital Twins, Muhammad Imran Hossain

Graduate Theses, Dissertations, and Problem Reports (ETD)

Modern power systems face failures at very different timescales. Cyber-physical disturbances may emerge within seconds, while battery degradation develops over hundreds of operating cycles. Both monitoring problems share the same underlying difficulty: power systems produce measurement data in abundance, but reliably labeled examples of abnormal or degraded operation are scarce. Rare grid events are difficult to label, and battery degradation data are heterogeneous across cells, cycling protocols, and chemistries. This thesis addresses these challenges through two complementary domain-informed learning frameworks that constrain representation learning using information specific to each physical problem.

First, at the system level, T-BiGAN, a Transformer-augmented bidirectional …