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Improving Antibiotic Prescribing For Urinary Tract Infections In Urgent Care Centers, Alexis Alastanos

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction: Urinary tract infections (UTIs) are one of the most common infections that require antibiotic therapy. Providers working in three urgent care clinics located in Eastern West Virginia diagnosis and treat UTIs based on their clinical judgement. Variability in clinical judgement results in inappropriate antibiotic use which has implications on antibiotic resistance and the financial burden of the patients as well as the entire organization.

Evidence Review: A total of 10 articles were evaluated to support the implementation of antibiotic stewardship initiatives that provide guidance in caring for this population. Interventions include electronic health record enhancements, provider education, and tracking …

‘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 …

Landscape As Expo: Reimagining Desert Landscapes As Climate-Adaptive Cultural Infrastructure In Las Vegas, Parinaz Baradaran Anaraki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Contemporary desert cities face increasing environmental and social challenges driven by climate change, including extreme heat, water scarcity, fragmented ecological systems, and limited access to high-quality public open space. In many rapidly urbanizing regions, conventional urban development has marginalized desert landscapes, treating them as vacant land rather than valuable ecological and cultural assets. This thesis proposes Landscape as Expo as a new framework for transforming desert landscapes into climate-adaptive cultural infrastructure, where ecological processes become both functional systems and public experiences.

The project focuses on a 140-acre site within the Tule Springs Planning District in North Las Vegas, Nevada, identified …

Development And Validation Of A Multi-Output Neural Network-Based Virtual Temperature Sensor For Electric Vehicle Thermal Management, Dalton Michael Wiggins

Graduate Theses, Dissertations, and Problem Reports (ETD)

Battery electric vehicles (BEVs) rely on accurate thermal management to ensure component performance, efficiency, safety, and long-term durability. Critical propulsion system components, including electric motors and high-voltage battery packs, are commonly monitored using physical temperature sensors. However, these sensors increase system cost, introduce additional hardware complexity, and may be impractical for directly measuring temperatures at critical internal locations. Virtual temperature sensors (VTSs) provide a software-based alternative by estimating component temperatures using readily available vehicle operating data.

This research presents the development and validation of a long short-term memory (LSTM) neural network-based virtual temperature sensor capable of simultaneously estimating the motor …

The Tax Governance Triangle: An Attitudinal Theory Of State Capacity And Tax Compliance., Abdul Wahid Uqaily

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Tax Governance Triangle: An Attitudinal Theory of State Capacity and Tax Compliance

Abdul Wahid Uqaily

Variation in states' extractive capacity is a central puzzle in comparative politics and political economy. Existing scholarship explains this variation largely through institutional quality, administrative capability, or coercive enforcement, with less attention to the attitudinal foundations that shape key actors' willingness to sustain an effective fiscal system. This dissertation addresses that gap by asking: how do the attitudes and behaviors of citizens, bureaucrats, and elites shape variation in a state's extractive capacity?

To answer this question, the dissertation develops the “Tax Governance Triangle” and …

Examining Drivers Of Brook Trout (Salvelinus Fontinalis) Fecundity And Recruitment In Central Appalachian Headwater Streams, Emilee Esther Briggs

Graduate Theses, Dissertations, and Problem Reports (ETD)

The persistence of fish populations depends on the repeated production and survival of new year classes, also referred to as recruitment. Recruitment is broadly defined as the number of individuals in a fish population or stock that survive to a specific stage. However, the broader recruitment process reflects the cumulative outcome of many earlier life stages, including egg survival, fry emergence, and survival through the recruitment period. As a result, recruitment can vary substantially among years and populations, producing strong or weak year classes that influence population abundance and persistence. Understanding why recruitment varies is therefore central to fisheries ecology …

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 …

Architecture And Mechanistic Engineering Of Nanocomposite Steam Electrodes For High-Performance Metal-Supported Protonic Ceramic Cells, Xuemei Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

The advancement of proton-conducting ceramic cells (PCCs) is crucial for efficient energy conversion in hydrogen- and/or ammonia-based energy carrier systems. However, a bigger success requires significant progress in cell fabrication, interfacial stability, fast electrode kinetics, and high Faradaic efficiency. This study investigates the rational design, fabrication, and performance breakthroughs of PCCs, with a focus on electrode architecture engineering, material interfacial coupling, and mechanistic understanding of electrochemical processes.

The metal-supported fuel electrode structure of PCFCs was systematically optimized, revealing the significant influence of Ni diffusion on cell performance and durability. High power density and stable ammonia-fueled operation were achieved. A heterointerface-rich …

Personal Narratives Of Young Adults With Epilepsy: Exploring The Transition To Adulthood Amidst Stigma And Disclosure Fears, Kirby-Estar Gilene Laguerre

Graduate Theses, Dissertations, and Problem Reports (ETD)

Navigating the transition to adulthood presents unique challenges for young adults with epilepsy, particularly concerning stigma and the fear of disease disclosure. While significant social difficulties, such as increased unemployment rates and decreased relationship satisfaction, are prevalent among individuals with epilepsy, current transition programs often fail to address these psychological and social aspects that are vital for an independent adult life. Instead, the majority of the attention for young adults transitioning into adulthood is focused on the shift to adult-oriented healthcare systems. Consequently, there is a critical need for research that goes beyond a healthcare focus and explores the social …

Innovative Strategies For Stabilizing Zinc Anodes: From Molecular Design To Practical Zinc-Ion Batteries, Nhat Anh Thi Thieu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Aqueous zinc-ion batteries (AZIBs) have become increasingly attractive as grid-scale energy storage solutions due to their safety, low cost, and environmental friendliness. However, the anode-electrolyte interface in AZIBs is prone to instability due to severe dendrite growth, self-corrosion, parasitic water-induced side reactions, and hydrogen evolution reactions (HER), which collectively lead to poor cyclability. To date, various interfacial engineering strategies have been investigated to address these challenges and improve the stability of Zn metal anodes. This dissertation presents a unified strategy for regulating Zn deposition through synergistic electrode and electrolyte design in laboratory-scale coin cells and then applies these concepts to …

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 …

Evaluation Of Acid Mine Drainage Treatment In The Upper Deckers Creek Watershed, Sarah E. Nelson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Acid mine drainage (AMD) is a legacy contaminant, impairing Appalachian watersheds despite decades of regulatory work and investment in remediation. This study analyzes and evaluates the performance of seven AMD treatment systems (5 passive and 2 active) as well as thirteen untreated sources in the headwaters of Deckers Creek. Monthly influent and effluent samples measuring pH, major metals, and acidity were collected from January 2024 through 2026 to assess variability in treatment performance, and engineering site visits were conducted for each treatment system. Based on these two components, recommendations customized for each individual treatment system were made, and the implementation …

An Assessment Of Disease Risks, Population Genetics, And Spatial Ecology Of Appalachian Cottontails (Sylvilagus Obscurus) And Snowshoe Hares (Lepus Americanus) In West Virginia, Usa, Madison Leigh Miller

Graduate Theses, Dissertations, and Problem Reports (ETD)

Snowshoe hares (Lepus americanus) occupy a large range across the United States and Canada. While snowshoe hare populations are generally considered stable in the interior of their range, populations along range edges are experiencing declines, possibly driven by climate-related factors such as seasonal coat color mismatch. West Virginia represents one of the southernmost extents of the species’ range, yet little is known about the population genetic status or population sizes of snowshoe hares in the state. Appalachian cottontails (Sylvilagus obscurus) are another lagomorph species found in West Virginia. This species experienced a historical decline and currently …

Cultural Perceptions And Willingness Or Reluctance To Use Ai Chatbots For Emotional Support By International African Students In Higher Educational Institutions In The United States, Zakariah Issah

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increasing use of artificial intelligence (AI) chatbots for emotional support underscores the need to understand how cultural perceptions shape their adoption among international African students in higher education institutions in the United States. Guided by the Technology Acceptance Model (TAM) and Social Stigma Theory, this qualitative study explored the perceptions, motivations, and barriers influencing the use of AI chatbots for emotional support. Semi-structured interviews were conducted with 20 undergraduate and graduate students from 10 African countries. The findings reveal that participants viewed AI chatbots as conditional and situational sources of emotional support rather than replacements for human relationships. Convenience, …

Promoting The Use Of Smoke Evacuation Systems In The Operating Room: A Quality Improvement Initiative, Andrea Leigh Drayer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Surgical smoke produced during procedures poses serious health risks to operating

room (OR) staff and patients, yet many hospitals, including an academic medical center in

northern West Virginia, have underutilized smoke evacuation systems. The imminent

enforcement of West Virginia House Bill 4376, mandating smoke evacuation use, provided both

urgency and opportunity for an intervention.

Purpose: The purpose of this Doctor of Nursing Practice (DNP) quality improvement project

was to increase timely compliance with the use of smoke evacuation systems during all smoke-

producing procedures, ensuring alignment with safety standards and legislative requirements.

Methods: A systematic evidence review of academic …

Plant-Wide Process Modeling, Techno-Economic Optimization, And Bayesian Uncertainty Quantification For Manufacturing Value-Added Products From Lignocellulosic Biomass, Poulomi Das

Graduate Theses, Dissertations, and Problem Reports (ETD)

For decades, many chemicals have been produced from fossil resources, contributing to resource depletion, pollution from extraction and refining, and hazardous byproducts. Growing environmental concerns and declining fossil reserves have intensified the search for sustainable sources of fuels, energy, and chemicals. Lignocellulosic biomass, the only abundant renewable carbon source, is therefore being explored as a feedstock for second-generation biofuels and high-value chemicals.

Currently, global wood-panel industry heavily depends on petroleum-derived commercial adhesives like phenol-formaldehyde, urea-formaldehyde, etc. These formaldehyde-based chemicals cause hazards to both human health and environment through emission of toxic volatile organic compounds. Typically, lignin is considered as one …

Factors Influencing Eastern Wild Turkey (Meleagris Gallopavo Silvestris) Productivity And Nesting Chronology In West Virginia, Kirstin Palumbo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Identifying drivers of variation in the timing of breeding behaviors, such as courtship activities and nesting chronology, is important for the effective management of avian species. Likewise, productivity is an important component of game bird population dynamics and can be broken up into multiple components such as the probability of nesting, clutch size, and nest success. One species that experiences a relatively long reproductive season is the Eastern wild turkey (Meleagris gallopavo silvestris). Contemporary research in the southeastern United States has raised concerns regarding declines in both wild turkey populations and overall productivity. West Virginia, however, is unique …

Semantic-Weighted Lidar–Camera Slam For Robust Mapping In Vegetation-Rich Environments, David Aigbovboise Akhihiero

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many LiDAR odometry and SLAM methods are lightweight and effective, but they assume that all LiDAR point returns are equally reliable. In practice, this assumption is often violated in vegetation rich or semi transparent environments, where in a single beam footprint, LiDAR beams may intersect multiple scattering surfaces like leaves, branches or glass. These ambiguities in returns produces probabilistic or biased range measurements that violate the assumptions of most geometric registration frameworks and can lead to drift and inconsistency.

To address this challenge, this dissertation proposes a semantic-weighted LiDAR-camera SLAM framework that integrates class dependent weights into a front-end LiDAR …

Cell-To-Pack Modeling Of Lithium-Ion Batteries: From Bayesian Parameterization To Pack-Level Optimization, Derek Slack

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the major hurdles for electric or hybrid aviation is the comparative energy density between lithium-ion batteries and jet fuel. To help obtain maximal power-to-weight ratio in electric or hybrid powertrains the battery pack design should be optimized to be as light as possible while meeting thermal safety and power requirements. The proposed solution is an optimization routine beginning with a cell-level parameter estimation of lithium-ion battery cells, where data driven Bayesian Gaussian Processes replace empirically or analytically derived parameters in a first principles electrochemical model in PyBaMM, as functions of the transient state of the cell. The resulting …

Fairness Without Demographic Attributes In Medical Vision–Language Models, Ahsan Habib Akash

Graduate Theses, Dissertations, and Problem Reports (ETD)

Vision–language models (VLMs) and the embedding models that underlie them have become the default representation layer for multimodal artificial intelligence. Trained by contrastive alignment over enormous, loosely curated image–text corpora, they inherit the demographic skew of that data, and they encode it in the geometry of the shared embedding space itself. The consequence is a model that performs unevenly across demographic groups even when no protected attribute is ever supplied as an input. In consumer applications this is an equity problem; in medicine it is a safety problem, because an embedding that is systematically less discriminative for one subpopulation translates …

Analysis Of Battery Degradation Effects On Optimized Torque Splitting In Dual-Motor Electric Vehicles, Homer E. Butcher

Graduate Theses, Dissertations, and Problem Reports (ETD)

Battery electric vehicle performance depends on both powertrain efficiency and battery-health. In dual-motor all-wheel-drive battery electric vehicles, driver-requested torque can be distributed between front and rear electric drive units, creating an opportunity to reduce electrical energy demand through torque allocation. However, lithium-ion battery aging changes the electrical behavior of the energy storage system through capacity fade and internal resistance growth. Capacity fade reduces the usable energy and vehicle range, while resistance growth increases voltage drop, current-related losses, and battery electrical loading. This thesis evaluates how these degradation effects influence the energy consumption, simulated range, and battery electrical behavior of optimized …

Effect Of Yoga On Non-Invasive Measures Of Cardiovascular Functioning And Health, Alexis Nicole Thrower

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction: Cardiovascular disease (CVD) has been the number one cause of death worldwide and within the United States (US) for decades. Effective and practical prevention modalities are needed to reduce the burden of this often-preventable condition. Physical activity is an effective and modifiable behavior for CVD risk management; however, only one in four adults meet current physical activity guidelines. Some types of yoga, including vinyasa yoga, are a form of physical activity, and vinyasa yoga efficiently incorporates moderate-intensity aerobic activity, muscular-strengthening movements, and flexibility components. Yet, minimal rigorous research evaluates yoga’s effects on health. The purpose of this dissertation is …

Essays On Public Policy, Labor Markets, And Regional Economics, Toby Heaney

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three empirical essays examining how economic and political outcomes respond to changes in public policy, information, and local economic conditions. Across the three studies, the dissertation applies empirical methods to questions in political economy, economic forecasting, and regional economics, with particular attention to how the effects of economic shocks and policy changes vary across individuals, markets, and geographic areas.

The first essay examines the role of policy salience in electoral outcomes. Building on rational-choice and median-voter models, it argues that voters may respond disproportionately to policies that impose concentrated and highly visible costs, even when those …

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. …

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 …

Comparing Unet And Hrnet For Geomorphic Feature Extraction From Digital Terrain Model-Derived Land Surface Parameters, Behnam Solouki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Automated extraction of geomorphic features from high spatial resolution terrain data is important for environmental monitoring, geohazard assessment, and landscape change analysis. This study compares two convolutional neural network architectures, UNet and High-Resolution Network (HRNet), for semantic segmentation of mine benches and sinkholes from lidar-derived digital terrain models and land surface parameters. Mine benches represent anthropogenic, elongated, stepped landforms associated with historic surface mining, whereas sinkholes are natural, compact depressions common in karst terrain. Three terrain-derived input layers were used: square-root-transformed slope, broad-scale topographic position index, and fine-scale annulus topographic position index. Models were trained using five training sample sizes, …

Multimodal Representation Learning For Face Understanding: From Caption Supervision To Foundation Model Adaptation, Md Mahedi Hasan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The rapid advancement of intelligent surveillance systems and the increasing demand for reliable biometric identification in border security, public safety, and digital forensics require robust face understanding under unconstrained conditions, including low resolution, pose variation, and occlusion. While Vision Transformer (ViT)-based foundation models have greatly improved visual representation learning, their patch-based tokenization and lack of spatial inductive bias limit their ability to capture fine-grained details in low-resolution inputs. This dissertation investigates multimodal representation learning for face understanding through natural language supervision, large-scale face-caption pre-training, and parameter-efficient foundation model adaptation. It hypothesizes that textual supervision provides complementary semantic cues that improve …

Data Augmentation And The Reliability Of Conformal Prediction For Uncertainty Quantification In Medical Imaging, Rizwan Ahamed

Graduate Theses, Dissertations, and Problem Reports (ETD)

The safe clinical deployment of deep learning models for high-stakes medical imaging tasks requires more than high average accuracy; it requires demonstrable, per-case reliability. Uncertainty quantification (UQ) provides the missing signal that tells a clinician when a model prediction can be trusted and when a case should be escalated for expert review. Among UQ approaches, conformal prediction (CP) is especially attractive because it produces prediction sets that are guaranteed, under the assumption of exchangeability, to contain the true label with a user chosen probability, and it does so without assumptions about the model or the data distribution. This report first …

Does Diverse Seeding Adoption Reduce Production Costs? The Case Of Diverse Forage Seeding Strategies In West Virginia., Ivan Andres Wong

Graduate Theses, Dissertations, and Problem Reports (ETD)

Feed and harvested forage represent a major share of production costs in Appalachian cow-calf systems, where a pronounced summer forage gap forces producers to rely on purchased hay. This thesis evaluates whether adopting diverse forage seeding strategies reduces production costs relative to the existing pasture management practice, accounting for the spatial heterogeneity of West Virginia’s production environments. The analysis proceeds in two steps. First, an unsupervised K-means clustering of 14 farms enrolled in the NRCS Conservation Innovation Grant field trial groups the farms into two agroclimatic clusters, Highland-Cool and LowlandWarm, using elevation, growing-season Growing Degree Days, growing-season precipitation, and soil …

Stakeholder Perceptions Of West Virginia’S Artificial Food Dye Ban In K–12 School Meals: Initial Year Of 2025-2026, Leah Michelle Rogers

Graduate Theses, Dissertations, and Problem Reports (ETD)

OBJECTIVES: Artificial food dyes (AFD+) are an increasing policy concern in the U.S., particularly in children’s foods. West Virginia’s House Bill 2354, the first statewide AFD+ ban implemented in K-12 schools, restricts seven AFD+ in state-funded meals. Little is known about how AFD+ bans are perceived or implemented. This study examined how the ban functioned within school food systems and the barriers and facilitators experienced by school stakeholders within the initial year of implementation during the 2025-2026 school year.

METHODS: A cross-sectional, observational mixed-methods study was conducted among implementers, enforcers, and receivers of the policy. A survey tool …