Digital Commons Network^™

Do The Adaptogenic Mushrooms, Cordyceps Militaris And Hericium Erinaceus, Produce Caffeine-Like Discriminative-Stimulus Effects?, Stephen James Cullinan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Caffeine is one of the most widely consumed drugs in the United States, but its excessive consumption increases the risk of heart disease, sleep problems, and anxiety. In response to these issues, there has been a rise in efforts to find safer alternatives to caffeine while maintaining similar subjective effects. The adaptogenic mushrooms, cordyceps and lion’s mane, are claimed to have similar energy- and mood-enhancing effects as caffeine; however, there is limited research directly comparing their effects to caffeine. A drug-discrimination paradigm, in which rats were trained to discriminate between caffeine and saline, was used to compare the discriminative-stimulus effects …

Timing, Spectral, And Single-Pulse Properties Of Radio Pulsars, Evan Francis Lewis

Graduate Theses, Dissertations, and Problem Reports (ETD)

Radio pulsars are highly magnetized, rapidly rotating neutron stars which emit beams of radio waves from their magnetic poles. Their incredible rotational stability allows for their use in a variety of high-energy astrophysical studies, though the details of their internal structure and emission mechanisms are still unknown. We use observations of a cross-section of the pulsar population in order to investigate the nature of their evolution, their emission properties, and their environments.

First we derive timing solutions for three pulsars discovered through their sporadic single pulses. It was possible to obtain timing solutions through a set of single-pulse times of …

Examining Moral Susceptibility In Ai Vs. Human-Assisted Decision-Making, Seth James Fogle

Graduate Theses, Dissertations, and Problem Reports (ETD)

Artificial intelligence (AI) systems are increasingly integrated into decision-making contexts, yet their influence on ethical judgment remains unclear. This study examines whether advice from an AI advisor, compared to a human advisor, affects moral susceptibility in a consumer decision-making scenario. Using a 2 × 2 between-subjects experimental design (advisor type × price condition), this research tests whether personal agency, perceived objectivity, and diffusion of responsibility operate as psychological mechanisms underlying ethical decision-making.

Results indicate that advisor type did not significantly influence moral susceptibility, nor did it significantly affect the proposed mediators. Additionally, the price condition did not moderate these relationships. …

Development Of Periodic Plasmonic Nano-Structures For Enhanced Labeled Bio-Sensing Systems, Kyle Zackary Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

The biomedical industry has seen sustained growth over the past half century, with a continually increasing demand for flexible, easy-to-use, and cost-effective tools. One large area of commercial interest has been point-of-use or point-of-care diagnostics, using optical based Lab-On-Chip (LOC) style systems. Label and label-free fluorescence detection systems are common benchtop modalities that have seen recent integration into these portable, cost-effective LOC applications. However, despite their maturity, there are still opportunities to improve device characteristics, specifically in reference to throughput, limit-of-detection (LOD), and hybrid integration (along with associated costs).

Optical research avenues at WVU have focused on improving these systems …

Sedimentological And Geochemical Investigation Of The Origin Of Upper Pennsylvanian Black Shales, East-Central Appalachian Basin, Tyler Hickey

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the east-central Allegheny foreland basin, laminated black shales overlying Upper Pennsylvanian Glenshaw Fm. coal seams record paleoenvironmental conditions associated with the termination of peat swamp deposition before, during, and after the Carboniferous Coal Forest Collapse (CCFC), a major paleobotanical evolutionary event during the Late Paleozoic Ice Age (LPIA) that contributed to extinction of lepidodendrons near the Desmoinesian-Missourian boundary (~306 Ma). Previous investigations of the CCFC commonly implicate an episode of aridification during intensification of LPIA glaciation that stressed the lepidodendrons beyond their ecological tipping point; however, the cause of this aridification is unclear. An investigation of Glenshaw Fm. black …

Deep-Learning-Based Generation Of Synthetic Contactless Fingerphotos, Christopher Harry Burton

Graduate Theses, Dissertations, and Problem Reports (ETD)

The collection of biometric data is a labor-intensive, high-resource process that presents significant logistical, privacy, and cost barriers for researchers and developers. To address these challenges, the biometrics community has increasingly turned to generative models capable of producing synthetic datasets that reflect the statistical properties of real data. While substantial progress has been made in synthetic fingerprint generation for contact-based modalities, the contactless fingerphoto domain has remained largely underserved. This work presents a deep learning-based approach to synthetic contactless fingerphoto generation using a Stable Diffusion model guided by multimodal conditions (text and image). The dataset used for training was collected …

Preference Of Smiling Esthetics By Caucasian And Chinese Orthodontic Professionals, Tamana Spingher

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background and Objectives: Comprehensive orthodontic treatment aims to achieve optimal facial esthetics, which is guided by established norms that have shown variability across different ethnic and gender groups. There is a paucity of literature comparing the esthetic preferences of Chinese and Caucasian orthodontic professionals regarding smiling esthetics. The purpose of this study was to determine the perceived smiling attractiveness ratings between Chinese and Caucasian orthodontic professionals. Methods: One Chinese and one Caucasian lateral smiling photograph generated by artificial intelligence (AI) were used in this study. The maxillary central incisor position was digitally manipulated to simulate variations in anteroposterior (AP) position …

The Resilient Educator: Examining The Role Of Resilience On A First-Year Rural Music Educator’S Job Satisfaction, Isaac Price

Graduate Theses, Dissertations, and Problem Reports (ETD)

The future of music education in schools is largely determined by educators' resilience in their positions. Resilience is the process of adapting to adversity by accessing and utilizing intrinsic and extrinsic resources available (Gu & Day, 2007; Squires et al., 2023). Resilience affects various aspects of an educator’s personal and professional life, including job satisfaction (Li, 2023). Job satisfaction can affect teacher health, teacher performance, and teacher retention, which in turn may affect student performance (Huysman, 2008; Lu et al., 2024; Robison & Russell, 2022). The circumstances and events that occur during a teacher’s first year in the profession can …

Evaluation Of Potential Factors Limiting The Expansion Of Invasive Carp (Hypophthalmichthys Spp.) In The Ohio River Basin, Erin Shepta

Graduate Theses, Dissertations, and Problem Reports (ETD)

The introduction of aquatic invasive species is one of the greatest threats to freshwater biodiversity around the world. Two species of invasive carp, bighead carp (Hypophthalmichthys nobilis) and silver carp (H. molitrix) have spread throughout much of the Mississippi River Basin, resulting in serious ecological impacts to native communities. Their spread in the Ohio River, a major tributary of the Mississippi River, appears to have slowed, with limited evidence of upstream advancements. Here, we investigated abiotic and biotic factors that may be contributing to the reduced spread of invasive carp in the Ohio River Basin. Generally, …

Posttraumatic Growth In Appalachian Youth: Findings From An Outpatient Pediatric Trauma Specialty Clinic, Marinne M. Morgan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Childhood traumatic event exposure (CTE) involves exposure to extreme events that overwhelm one’s ability to cope. Childhood traumatic event exposure has been linked to a wide range of adverse mental and physical health consequences, including posttraumatic stress symptoms (PTSS). Fewer studies have examined positive trajectories following childhood traumatic event exposure, such as posttraumatic growth (PTG), especially in understudied regions such as Appalachia. The current study used a cross-sectional design to examine posttraumatic growth in 14 youths aged 9 to 15 years seeking trauma-focused therapeutic services at an outpatient pediatric trauma specialty clinic in West Virginia. In line with previous research, …

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 …

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 …

Dielectrophoretic Biomarkers For Cancer Detection And Cell Analysis: Integrating Microfluidics And Ai, Raphael Olumide Oladokun

Graduate Theses, Dissertations, and Problem Reports (ETD)

Pancreatic ductal adenocarcinoma (PDAC) carries a five-year survival rate of 13%, driven largely by late-stage diagnosis and the absence of sensitive noninvasive screening tools. Current diagnostic methods lack the sensitivity to detect disease-associated systemic changes at early and precancerous stages, representing a critical clinical gap. This dissertation addresses the central hypothesis that PDAC and its pathological subtypes induce measurable, disease-associated electrophysiological changes in circulating PBMCs that can serve as correlative liquid-biopsy biomarkers. To test this hypothesis, this work asks: can dielectrophoresis (DEP), impedance and zeta potential analysis with AI-assisted classification distinguish benign pancreatic conditions (non-malignant control), precancerous lesions (primarily IPMNs), …

The Histamine-3 Receptor In Cardiac Fibrosis: A Novel Role In Fibroblast Function, Heather Linsky

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the United States, heart failure affects approximately 6.7 million individuals. Despite a number of available therapies, heart failure prevalence continues to grow, suggesting the need for a broader range of effective therapies. More specifically, heart failure with preserved ejection fraction comprises approximately 50% of all heart failure cases and, as the name suggests, is a disease of diastolic dysfunction as opposed to systolic dysfunction. A hallmark of heart failure with preserved ejection fraction is myocardial fibrosis, which is a key contributor to diastolic dysfunction, and is the major focus of this dissertation work. In the heart, histamine-3 receptor activation …

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 …

Graded Repertoire For Violin By Latin American Composers: Pedagogical Analysis And Categorization Of Selected Pieces, Irene Guerra Rudas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Repertoire sequences have evolved from a collection of technical studies into a comprehensive educational framework. This research aims to enhance the integration of innovative pedagogical materials by identifying, analyzing, and categorizing works originally composed for violin by Latin American composers. These works are assessed for their suitability within a structured violin curriculum and organized into graded levels, ranging from elementary to advanced.

Each selected piece is evaluated according to pedagogical parameters commonly used in established violin teaching traditions. These parameters include pitch range, rhythmic complexity, bow strokes, length, stylistic diversity, musical language, and the historical and cultural relevance of both …

Genomic Variation, Adaptive Evolution, And Invasive And Evolutionary History Of Microstegium Vimineum, Cameron William Corbett

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive species can cause environmental and economic damage, but can offer unique opportunities to study rapid evolution and adaptation in novel environments. Microstegium vimineum (stiltgrass) is a prolific invasive grass in the eastern United States. Historical herbaria collections were used to identify patterns of invasion history and population dynamics over a spatial and temporal scale. Analyses of plastid genomes reveal a complex invasion history, including a single introduction in the southern United States linked to Japan and multiple repeated introductions in the northern United States from various source populations. Spread of introduced populations provide evidence of admixture among previously geographically …

Enhancing Chime Data Integrity: Utilizing An Ancillary Antenna To Detect And Mask Radio Frequency Interference, John W. Metzger

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Canadian Hydrogen Intensity Mapping Experiment (CHIME) is a radio telescope array designed to map Baryon Acoustic Oscillations (BAO) and detect Fast Radio Bursts (FRBs) within the 400-800 MHz frequency range. However, man-made Radio Frequency Interference (RFI), such as television broadcasts and cellular signals, significantly degrade data integrity and mask weak astronomical signals. This thesis details the design, simulation, and implementation of a slotted waveguide antenna at the Green Bank Outrigger (GBO) to detect and mask RFI. Utilizing cross-correlation, the system identifies similarities between the telescope and the horizon- pointing antenna to isolate interference. Mathematical models were used to determine …

Ornithine Metabolism In Retinal Pigment Epithelium And Retina And Implications In Gyrate Atrophy, Artjola Puja

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ornithine aminotransferase (OAT) is a mitochondrial enzyme that regulates ornithine metabolism by converting ornithine to pyrroline-5-carboxylate, a precursor for proline and glutamate synthesis. Deficiency of OAT causes systemic ornithine accumulation and leads to gyrate atrophy (GA) of the choroid and retina, a hereditary disorder characterized by progressive chorioretinal degeneration and irreversible vision loss. Chorioretinal atrophy typically starts at the mid-peripheral retina and progresses toward the macula. Although elevated ornithine is considered toxic to the eye, how ornithine is metabolized in ocular tissues and why OAT deficiency causes selective, region-specific vulnerability remain unclear. We combined ex vivo and in vivo stable …

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 …

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 …

Deep Learning-Based Co-Current Upward Gas-Liquid Two-Phase Flow Regime Identification In An Annular Conduit, Joshua Robert Macomber

Graduate Theses, Dissertations, and Problem Reports (ETD)

Flow regime identification in co-current upward gas-liquid flow through annular conduits remains a significant challenge in petroleum engineering, with major safety and operational implications. It is also important across industries involving the transport of multiphase fluids. Misidentifying flow regimes can introduce major operational risk, yet regime boundaries in annular gas-liquid flow are often visually complex and context dependent.

The objective of this study was to evaluate the utility of convolutional neural network (CNN) classifiers for flow regime identification. The CNN was trained using annular flow image dataset published by Texas A&M University. The dataset consists of approximately 947 RGB images …

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 …