Digital Commons Network^™

Assessing Mobility And Upper Extremity Function Beyond Laboratory Settings In Manual Wheelchair Users With Spinal Cord Injury Using Inertial Measurement Units, Kathylee Pinnock Branford

Graduate Theses, Dissertations, and Problem Reports (ETD)

Manual wheelchair users with spinal cord injury (SCI) face chronic, repetitive shoulder demands that far exceed those of able-bodied daily life, placing them at high risk for rotator cuff pathology and long-term upper extremity dysfunction. Despite this burden, existing research has relied predominantly on brief laboratory assessments that capture only a narrow part of real-world mechanical demands, leaving critical gaps in the identification of true injury risk factors. This dissertation developed and applied inertial measurement unit (IMU)-based methods and novel algorithms to characterize arm use, mobility, and environmental context during a full week of free living behavior in 25 manual …

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 …

Sustainable Nutrient Management Opportunities For Small Communities In The U.S. With Lagoon Wastewater Treatment Systems, Denis Sigei Ruto

Graduate Theses, Dissertations, and Problem Reports (ETD)

Lagoon wastewater treatment systems are among the most widely used secondary treatment technologies serving small and rural communities in the United States due to their low capital and operating costs, minimal energy requirements, and operational simplicity. While effective for removal of organic matter and suspended solids, most lagoon systems were not designed to achieve advanced nutrient removal. As regulatory priorities increasingly emphasize control of total nitrogen and total phosphorus to protect receiving waters and public health, lagoon-dependent communities face growing compliance challenges. These challenges are exacerbated by aging infrastructure, limited technical capacity, financial constraints, and insufficient infrastructure data, highlighting the …

Three Essays On Urban Transportation, Daniel Amorim Souza Centuriao

Graduate Theses, Dissertations, and Problem Reports (ETD)

Urban environments are shaped by dynamic interactions between infrastructure development, policy interventions, and episodic demand shocks, all of which can generate unintended externalities in the form of motor vehicle collisions, injuries, and fatalities. This dissertation investigates the determinants of traffic safety in dense urban settings, with a particular focus on how different sources of urban activity affect collision risk and severity. Using New York City as a case study and leveraging high-resolution spatial and temporal data, I examine three distinct but interconnected mechanisms: construction activity, traffic safety policies, and large-scale events.

The first chapter analyzes the impact of urban development, …

Self-Leadership And Perceptions Of Artificial Intelligence: A Single-Case Study, Patrik Garren

Graduate Theses, Dissertations, and Problem Reports (ETD)

The purpose of this single-case qualitative project is to uncover how self-leadership’s behavioral and cognitive strategies influence perceptions of Artificial Intelligence (AI) and AI adoption. While existing literature acknowledges that there is an association between self-leadership, technology’s perceived usefulness and ease of use, as well as comfort with AI preparedness and its professional impact, there is limited research on how self-leadership shapes perceptions of AI and AI adoption in real-life contexts. To fill this gap in contemporary literature, this project analyzes qualitative semi-structured interviews with 25 healthcare professionals involved in the implementation of ‘AI Model 1’ at their mid-sized United …

The Bleeding Edge Of Misogyny: How Gender-Based Harassment And Infrastructural Neglect Shape Menstrual Distress, Mackenzie J. Miller

Graduate Theses, Dissertations, and Problem Reports (ETD)

Despite growing attention to menstrual health, organizational research has largely overlooked how workplace conditions shape menstrual experiences. Dominant perspectives frame menstruation as an individual issue that negatively affects work, neglecting how features of the work environment – such as gender-based harassment and access to menstrual-related infrastructure – contribute to menstrual distress. Addressing this gap, this dissertation adopts a bidirectional perspective, examining how social and material workplace conditions shape menstrual distress, defined as the extent to which menstrual symptoms interfere with daily functioning. Drawing on the transactional model of stress and objectification theory, I hypothesized that gender-based harassment would predict menstrual …

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 …

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 …

Supply Chain Optimization For Fertilizer Production From Wastewater, Ethan Clement Robey

Graduate Theses, Dissertations, and Problem Reports (ETD)

In West Virginia, approximately 27,000 tons of wastewater solids are generated annually, with nearly 75% being landfilled or alternatively disposed of in a non-beneficial manner. Over the past two decades, the amount of these solids being taken for beneficial uses, such as agricultural application, has declined by 25%, while landfilling has increased by more than 30%. This highlights issues related to eutrophication and disposal costs. This study aims to develop a supply chain optimization framework that addresses the conversion of wastewater solids into fertilizers to match local farm requirements, while determining processing facility locations that minimize transportation costs. To determine …

Social Media Addiction And Its Influence On The Physical Social Interactions Among West Virginia University Students, Blessing Ochom Omaleko

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Social Media Addiction and its Influence on the Physical Social Interactions Among West Virginia University Students

Blessing O. Omaleko

This qualitative study investigated social media addiction and its perceived influence on face-to-face interactions among 14 West Virginia University students using an open-ended qualitative survey. Grounded in Griffiths' (2013) behavioral addiction components, salience, mood modification, conflict, and relapse, the data were analyzed using Thematic Analysis (Braun & Clarke, 2006). Findings revealed that while students characterized their social media use as a habit rather than an addiction, their descriptions aligned with multiple addiction components. Students consistently valued in-person interactions over online …

Optimization Of Feed Manufacturing Productive Capacity, Feed Quality, And Feed Safety Utilizing A Variety Of Pellet Die Parameters, Feed Additives, Conditioning Specifications, And Simulated Feed Bin Storages, Lucas Edward Knarr

Graduate Theses, Dissertations, and Problem Reports (ETD)

In Chapter 2, an experiment was conducted to determine if the inclusion of 1.50% mixer-added water (MAW) and/or 0.25% Azomite^® (AZM) would be suitable in alleviating concerns regarding pellet production rate and pellet quality when manufacturing feed with low-moisture corn. Furthermore, the authors aimed to determine if these additives had varying effects when utilizing different pellet die thicknesses. A 2 (Azomite; 0.00% or 0.25%) x 2 (mixer-added water; 0.00% or 1.50%) x 3 (pellet die thickness; 32 mm, 38 mm, or 45 mm) factorial arrangement was utilized to create the twelve experimental treatments, each manufactured …

Formation-Based Analysis In Contemporary Saxophone Practice: A Case Study Of Ziwei Shi's The Blue Lotus Bloms, Jiageng Ren

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examines contemporary saxophone repertoire through a formation-based analytical approach, using Ziwei Shi’s The Blue Lotus Blooms as a case study. It is organized into three parts. Part I establishes the conceptual and methodological framework by introducing the concept of “formation-based analysis,” positioning the “condition of musical formation” as its core. Further situating the study within scholarship on practice-based research, cross-cultural theory, and modernism/postmodernism. Part II provides a detailed analytical and performance-based investigation of the work, including the collaborative commissioning process, the application of Thaat as a pitch resource, the role of extended techniques and embodied endurance, and contrasting …

The Impact Of Caregiver Training And Education On Confidence And Perceived Competence In Facilitating Self-Care Skills In Children, Ryan M. Coen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Caregivers, especially those residing in rural Appalachia, face significant barriers and hardships that can hinder their ability to promote ADL, IADL, and self-care skill development. These barriers faced include geographic isolation, socioeconomic barriers, and a high prevalence of disabilities. Many caregivers may struggle to facilitate these self-care skills competently and effectively, and a gap is present in the most effective means to teach caregivers in this region the necessary skills. With almost 20% of individuals in West Virginia lacking access to reliable internet and physical isolation, many of these educational materials may not be effectively distributed (West Virginia Department of …

A Study In The Advanced Manufacturing Of Full Solids Oxide Fuel Cells (Sofcs) Via Aerosol Deposition (Ad) Methods With Macro- And Microstructural Defect Characterization, Davis A. Warmuth

Graduate Theses, Dissertations, and Problem Reports (ETD)

The goal of this work is to 3D print a full SOFC layer-by-layer using aerosol deposition (AD) at a resolution of 5 μm. To achieve this goal, several studies were undertaken to develop and optimize an AD system to use ceramic inks. A 130 kHz AD system was developed with 4 material pumps to allow for depositions of individual compositions of the in-situ mixture of multiple solutions to allow for the fabrication of functional gradients in three dimensions. This system was then programmed to deposit air electrode layers containing different material ratios and porous microstructures, comparing their electrochemical performance to …

Virtual Ensembles_ A Beginner's Guide For Recording Multitrack Audio Projects In Logic Pro, Joseph Walczyk

Graduate Theses, Dissertations, and Problem Reports (ETD)

During the COVID-19 pandemic, musicians worldwide were suddenly unable to rehearse and perform for live audiences. This, however, did not stop people from finding ways to continue making music and perform. The idea of a virtual ensemble was not new, but it was a mystery to many. The author’s own virtual ensemble, Cinematic Brass, is one of the many groups that found continued success in producing virtual ensemble projects post-pandemic. This research aims to demystify the process, helping beginners take their first steps towards high-quality virtual ensemble audio recordings. Included are equipment recommendations, examples of file organization and communication, recording …

Computational Methods For Identification Of Molecular Signatures, Weijun Yi

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work develops computational methods for identifying molecular signatures from high-throughput genomic data and for modeling long non-coding RNA (lncRNA) sub-cellular localization. The response of multiple myeloma to CB-6644, a selective RUVBL1/2 complex inhibitor with potential anti-tumor activity, is analyzed to identify drug-responsive pathways and molecular signatures. Conventional gene set enrichment analysis (GSEA) often excludes low-expression genes. Here, phenotype comparison is reformulated as a supervised machine learning problem: genes most informative for discrimination are first selected using a machine learning approach, and GSEA is then applied to these machine-learning derived gene sets. This framework improves detection of CB-6644-associated pathways. For …

Bridging Physics-Based Modeling And Machine Learning To Predict Material Behavior: Applications In Fatigue Crack Growth And Dielectric Property Characterization, Ansan Pokharel

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation integrates physics-based modeling with machine learning (ML) to predict how materials behave under complex thermal and mechanical conditions. A key innovation of this work is the use of finite element analysis (FEA) to supplement experimental data. This approach creates more diverse and representative synthetic datasets, helping to reduce the limitations and biases that arise when training ML models solely on experimental measurements. The research focuses on two applications: improving the prediction of fatigue properties in superalloys and estimating temperature-dependent, high-frequency dielectric properties relevant to microwave-based chemical processing.

In the first study, low-cycle fatigue experiments were performed on the …

Preparing The Professional: Selected Uses Of Digital Audio Workstations In Applied Tuba Studios, Reid Timothy Cox

Graduate Theses, Dissertations, and Problem Reports (ETD)

The modern music job market calls for musicians to cultivate and engage with a diverse range of area interests and skillsets. Collegiate music programs provide opportunities to prepare students professionally, yet programs have traditionally fallen behind changes in the job market. One way that music faculty within higher education can help prepare students to succeed after graduation is by teaching students to engage with digital audio workstations, also known as DAWs. Using DAWs, students can gain new practice tools, as well as learn skills that are helpful in a number of musical careers. This is of particular use to the …

More Than A Man: An Ethnomusicological Survey Of The Folklore Of John Henry And Resource Guide For “More Than A Man” By Shanyse Strickland, Clayton R. Heath

Graduate Theses, Dissertations, and Problem Reports (ETD)

“John Henry” exists as an enduring folk legend in the United States of America, representing the confluence of the Reconstruction Era, the economic utility of Appalachia and the Westward expansion of industry which left it behind. Though based on historical events, Henry’s fictional representation has diverted and evolved in music and other media from its inception in the oral tradition to the modern age. Through this progression, shared symbols have circulated, gathering embedded meanings and associating the folklore with specific communities. Henry’s representational identity has been signaled with the creation and distribution of each version of his story, both complicating …

Development Of Hydrogen Emissions Quantification Systems To Expand Understanding Of Leaks And Losses Associated With The Burgeoning Hydrogen Transportation Sector, Christopher Loomis

Graduate Theses, Dissertations, and Problem Reports (ETD)

To combat global warming, alternative fuels are being investigated. Hydrogen is at the forefront of this movement, advertised as having zero emissions due to the products of the energy reaction being only water. However, studies over recent decades indicate that hydrogen in the atmosphere acts as a form of greenhouse gas (GHG) by increasing the lifespan of methane in the atmosphere. Models are attempting to estimate the possible effects of a transition to a hydrogen-fueled economy but lack empirical data to provide confidence to these estimated values. There is little data that quantifies hydrogen from anthropogenic sources.

To address this …

Development And Additive Manufacturing Of Uv And Dual-Curable Elastomers For Soft Robotic Actuators And Embedded Sensors Via Direct Ink Writing, Emrah Demirkal

Graduate Theses, Dissertations, and Problem Reports (ETD)

The advancement of soft robotics requires materials and manufacturing methods that combine large deformation, structural stability, and integrated sensing within a single soft system. Conventional fabrication techniques often limit design flexibility and the incorporation of functional materials into soft structures. This dissertation addresses these challenges through the development of UV-curable and dual-curable silicone elastomers for the direct ink writing (DIW) of soft robotic actuators and embedded sensors.

UV-curable elastomers were first synthesized through thiol-ene click chemistry using poly(mercaptopropylmethylsiloxane) (MMPS) and vinyl-terminated polysiloxane (VPS). Their curing behavior, rheological response, printability, and mechanical properties were evaluated for DIW. These materials enabled rapid …

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 …

Utilizing Plethodontid Occupancy To Assess Initial Ecosystem Responses To Invasive Plant Control Treatment In The Central Hardwoods, Maree Guinevere Dieterich

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive plants are a growing concern for land managers, impacting ecosystem resilience and outcompeting native vegetation. To combat this, invasive plant control treatments can assist in reducing the impacts and spread of damaging, non-native plant species. However, intensive treatments completed at large scales have the potential to negatively impact ecosystem services as well. To monitor these impacts, I utilized a well-known indicator in the Central Applachian region, Plethodontid salamanders, to assess impacts of invasive plant control treatments in the Central Hardwood forests. I completed 12 visual samples across 60 sites in West Virginia, USA during Spring and Fall of 2025 …

A Multiobjective Framework For Joint Coverage And Motion Planning In Uav Inspection Tasks, Luis Fernando Escobar Carvajal

Graduate Theses, Dissertations, and Problem Reports (ETD)

Unmanned Aerial Vehicles (UAVs) have become essential for data acquisition in complex 3D environments. However, traditional Coverage Path Planning (CPP) methodologies often rely on a sequential pipeline that isolates viewpoint generation from flight path routing. This decoupling fails to account for the interdependence between viewpoint distribution and minimum flight paths, effectively restricting the search space and preventing the identification of a global optimum. This dissertation proposes a unified multi-objective framework for joint coverage and motion planning. The primary contribution of this work is the transition from isolated, sequential steps to a simultaneous optimization of the number and position of viewpoints …

Using Aqueous Geochemistry Of Acid Mine Drainage To Spatially Investigate Concentrations Of Rare Earth Elements Throughout West Virginia, Pennsylvania, And Maryland, Elyssa Lynn Allen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rare earth elements (REEs) are an important commodity utilized in many industries such as electronics, defense, manufacturing, medicine, and green energy production. A lack of economical domestic sources forces the United States to import a majority of its supply, and incentivizes novel methods of acquisition. Mining regions of the United States, such as Appalachia or the West, are afflicted with acid mine drainage (AMD) impacted surface waters. REEs occur in varying concentrations within coal seams, indicating that coal and its waste are potential avenues of recovery that might also incentivize the remediation of coal impacted areas. Understanding spatial and geochemical …

Plant Invasion Patterns In Understory And Soil Microbial Communities Of North Central West Virginia Mixed Hardwood Forests, Isabelle Marie Uganski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive plants alter forest ecosystems by reducing species richness, habitat heterogeneity, and nutrient cycling as they rapidly displace native plants. Invasive plant composition can influence soil health through altering soil microbial associations and communities. By studying the mechanisms in which invasives alter above- and below-ground communities, we can better understand whole-ecosystem impacts and inform management decisions. This study examined the relationships between co-occurring invasion on above and belowground communities of mixed hardwood forests of north central West Virginia. Despite distinctive associations with aboveground characteristics (native diversity, native tree regeneration, and leaf litter density) we detected limited changes to soil microbial …

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 …

A Digital Calibration Source For 21 Cm Cosmology Telescopes, Kalyani Balkrishna Bhopi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Precise calibration of radio telescope beams and gains is a central requirement for 21 cm intensity mapping experiments, which aim to measure large scale cosmological structure through the redshifted emission line of neutral hydrogen. Bright astrophysical foregrounds dominate the sky at these frequencies, and separating them from the cosmological signal demands precise control over instrumental systematics, particularly the telescope beam and its frequency-dependent response. Existing aerial calibration sources are incoherent broadband emitters, detectable only as total power. They provide no direct phase information and suffer from poor sensitivity in low signal-to-noise regimes.

We present the Precision Emitter for 21cm Array …

Microwave Calcination Techniques For Electrode And Electrolyte Powders In Fuel Cells, Logan Scott Proud

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work investigates microwave-assisted calcination as a rapid, energy-efficient alternative to conventional resistive heating for the synthesis of complex oxide powders used in solid oxide electrochemical cells. Ce₀.₉Gd₀.₁O₁.₉₅ (GDC10) and La₀.₆Sr₀.₄Co₀.₂Fe₀.₈O₃–δ (LSCF6428) were synthesized via solid-state and co-precipitation routes to evaluate the influence of precursor chemistry and dielectric behavior on microwave coupling, reaction kinetics, and powder characteristics. Calcination was performed in single-mode and multimode microwave systems using a silicon carbide/alumina susceptor–insulation package to ensure controlled high-temperature processing. A parametric study examining ramp rate, sample size, and temperature revealed that microwave processing reduced calcination time to ~1 hour compared to >21 …

Ai-Driven Prediction And Reconstruction Of Missing Cased-Hole Logs For Improved Well System Understanding, Samuel Avilez Martinez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Well logging is a fundamental technique in formation evaluation providing continuous, real-time measurements of geological and petrophysical properties within a well. Through the systematic analysis of well logs, engineers and geoscientists can accurately determine critical formation characteristics, including porosity, permeability, lithology, and fluid composition. Well logging is fundamental for making informed decisions and reducing uncertainties in the exploration and development of oil and gas reservoirs.

Despite its significance, the acquisition of reliable well log data in oil and gas wells is often compromised by various operational, mechanical, and formation-related challenges, as well as pressure, fluid, and equipment constraints. In high-risk …