Digital Commons Network^™

Survival, Cause-Specific Mortality, Resource Selection, Movement Rates, And Population Dynamics Of White-Tailed Deer (Odocoileus Virginianus) In West Virginia, Usa, Brett P. Skelly

Graduate Theses, Dissertations, and Problem Reports (ETD)

White-tailed deer (Odocoileus virginianus) are one of the most culturally and economically important big game species in the United States. At the turn of the 20th century white-tailed deer were almost extirpated due to market hunting and unsustainable forestry practices that destroyed habitat. The creation of game laws that eliminated market hunting and created seasons and bag limits for deer hunting along with restocking efforts by sportsmen’s groups and state wildlife agencies aided in deer population recovery. These efforts have led to the abundant deer populations that are currently enjoyed by hunters and wildlife viewers. Deer populations require …

A New Method For Teaching Classical Improvisation In The Wind Band, Eric Anthony Brewer

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT A New Method for Teaching Classical Improvisation in the Wind Band

In recent years there has been a renewed interest in the pedagogy of music improvisation taught in the eighteenth century Neapolitan Conservatories.  This project continues that interest by introducing concepts from that pedagogy to the wind band classroom at the high school and collegiate levels.  A new method for wind band that teaches basic concepts in music improvisation and trains students in elements of music composition is presented along with rehearsal techniques for implementing that method.      The method introduces students to the elements of major and minor keys …

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 …

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 …

Revival Through Resilience In The Post-Mined Landscape: Demonstrating The Socio-Economic Context Of Appalachia And Exploring How Community Infrastructure And Cultural Tourism Can Be Catalysts For Economic Regeneration In Appalachian Communities, Azita Tasnim Ritu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Post-industrial communities across Appalachia continue to experience economic and environmental challenges following the decline of coal mining and related industries. Towns such as Smithers and Montgomery, West Virginia, reflect these conditions through economic stagnation, population loss, aging infrastructure, and degraded landscapes, creating an urgent need for sustainable redevelopment strategies.

The Appalachian Regional Commission emphasizes economic diversification, infrastructure investment, and community revitalization as critical components for improving regional quality of life. However, many former mining communities continue to struggle with underutilized heritage assets, degraded landscapes, and limited economic alternatives. Cultural landscapes and local identity remain significant but often overlooked resources that …

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 …

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 …

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 …

Computer Vision Methods For Rfi Segmentation In Radio Astronomy, Yechan Kweon

Graduate Theses, Dissertations, and Problem Reports (ETD)

Radio Frequency Interference (RFI) increasingly contaminates the radio astronomy spectrum, often exceeding astronomical signal amplitudes by 50–70 dB. Reliable detection and mitigation are therefore essential for studies of faint transient phenomena such as pulsars and fast radio bursts (FRBs). Existing practical methods including Spectral Kurtosis (SK), Median Absolute Deviation (MAD), and SumThreshold perform well in many settings but depend on assumptions about the RFI environment and data statistics, limiting their effectiveness for weak, broadband, or nonstationary interference.

We develop a transform based RFI detection method that requires no prior knowledge of the RFI origin or type. The method operates on …

Multiphysics Modeling Of Microwave-Assisted Calcination Of Soec Perovskite Precursors, Hongwei Liu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The calcination of precursor powders is a critical step in the synthesis of solid oxide electrolysis cells (SOECs), where phase purity and microstructural control directly influence electrochemical performance. Conventional calcination methods are energy-intensive and time-consuming, often requiring prolonged high-temperature processing. In this thesis, microwave-assisted calcination is investigated as an alternative approach to enable rapid, energy-efficient processing of SOEC per- ovskite precursor powders. Microwave heating offers distinct advantages, including volumetric and selective heating, reduced processing times, and improved energy utilization compared to con- ventional thermal methods. A multiphysics modeling framework is developed, which integrates electromagnetic wave propagation, governed by Maxwell’s equations, …

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 …

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, …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Technology-Driven Approaches For Invasive Species Detection And Management, Kushal Naharki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive species pose significant ecological, economic, and management challenges globally. Purple loosestrife (Lythrum salicaria), Japanese knotweed (Fallopia japonica), tree of heaven (Ailanthus altissima), and mile-a-minute (Persicaria perfoliata) are widespread invasive plants across the eastern United States and present persistent challenges, particularly in remote and inaccessible landscapes. Effective management of these species requires an integrated approach that combines early detection, targeted intervention, public engagement, and spatial modeling. This dissertation used emerging technologies to improve invasive species detection, monitoring, and management.

Unmanned aerial vehicle (UAV)-based platforms equipped with optical sensors were used to establish …

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 …

Graft: Graph-Augmented Framework With Vision Transformers For Multi-Label Classification, Ghazaleh Mirzaee

Graduate Theses, Dissertations, and Problem Reports (ETD)

Multi-label classification of thoracic diseases from chest X-ray images poses a distinctive challenge: patients rarely present with a single isolated pathology, and automated systems must identify multiple co-occurring conditions simultaneously from a single radiograph. Standard classification architectures treat each disease label as an independent binary decision, failing to capture the statistical co-occurrence patterns, spatial anatomical relationships, and visual feature similarities that characterize multi-disease presentations in clinical data. Class imbalance and incomplete labels compound these problems. In NIH ChestX-ray14, the rarest pathological class has only 227 training instances, and many co-occurring conditions go unlabeled because radiologists focus their reports on the …

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 …