Fundamental And Applied Investigation Of Ammonia Combustion: Characteristics And Emissions At Relevant Ic Engine Conditions, Luis Fernando Alvarez Correa

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ammonia (NH3) is regarded as a promising fuel for future carbon-free power and propulsion systems due to its high hydrogen content, ease of storage, and existing infrastructure. Despite these advantages, NH3 exhibits inherently poor combustion characteristics, including low laminar burning velocity, high ignition energy, narrow flammability limits, and sluggish chemical kinetics. These limitations were solved in prior research by blending NH3 with hydrogen (H2) or hydrocarbons, which improved reactivity but introduced trade-offs such as increased complexity, safety concerns, or carbon emissions. Consequently, there remains a significant lack of fundamental and applied research on neat NH3 combustion, particularly under engine-relevant conditions …

Rethinking Compliance: How Goal Congruence Can Lead To Noncompliance And Positive B2b Performance, Paige Harrison Fender

Graduate Theses, Dissertations, and Problem Reports (ETD)

Traditional marketing theories (e.g., agency theory) suggest that aligning goals with a partner firm will enhance compliance and lead to better overall performance for both firms. The research on positive deviance, in contrast, suggests that a firm may deviate from contractual terms in order to accomplish shared goals and enhance performance. Merging these perspectives and pulling from more nuanced discussions of compliance, this dissertation explores the potential deleterious effects of goal congruence on compliance. Specifically, we examine the conditions in which goal congruence leads to both compliance and noncompliance and how these conditions impact performance. Additionally, this dissertation examines how …

Deep Target Recognition: Semi-Supervised Annotation, Sensor Fusion And Super-Resolution, Shoaib Meraj Sami

Graduate Theses, Dissertations, and Problem Reports (ETD)

Despite the recent expansion of machine learning algorithms to cover a wide range of disciplines, several areas of automatic target recognition (ATR) remain underexplored. This dissertation presents tools developed to improve performance in three significant aspects of ATR: semi-supervised annotation, sensor fusion, and image super-resolution. The aim of the semi-supervised methods is to automatically annotate targets in scenarios where labeled data are scarce in the target domain but available in the source domain. Secondly, to address the limitations of individual image sensors and enhance robustness under different environmental conditions and man-made constraints, a sensor fusion algorithm was developed to improve …

Replicating The Functionality Of Ghost Knifefish Cerebellar Feedback Using Synthetic Nervous Systems, Sheldon Paul Cj Johnson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Sensory inputs allow animals to perceive, react, and adapt to an environment. However, the sensory information received by the body, such as visual, auditory, and proprioceptive information, could become overwhelming, thus overloading the brain. Yet, animals can process all this information by canceling redundant signals from their surroundings, allowing them to be more sensitive to novel or unexpected signals in their environment. Each species (i.e., birds, fish, mammals) has its own way of using and filtering sensory information, from auditory to locomotion adaptivity. Cerebellar circuits contribute to sensory filtering in a variety of systems. In particular, research on Ghost knifefish …

Power, Economy, And Food Systems In The Confederacy: A Material History Of The Confederate Subsistence Department, John Martin Mcmillan

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation questions how human and non-human actors share power. By exploring Confederate logistics within the Subsistence Department, the collaboration between bureaucrats and the material world is revealed. Contributing to scholarship aimed at expanding the field of Civil War studies, this dissertation not only provides a more complex and interesting view of the conflict, but also an understanding that human beings are not solely responsible for the war’s results. By applying a materialist approach, the causes and outcomes of an event as complicated as a civil war can be better explained and understood. The choice to stockpile food for distribution …

Identifying The Role And Influence Of Interleukin-27 On The Neonatal Immune Response, Jordan Kane Vance

Graduate Theses, Dissertations, and Problem Reports (ETD)

The first month of life is a critical and vulnerable developmental stage, characterized by a heightened risk of life-threatening infections. Each year, 1.3 million newborns succumb to neonatal bacterial sepsis. The immune system during the neonatal period has unique features that lead to inefficiencies at clearing infection. Early life immunity is characterized by a Th2-biased profile with decreased IL‑12, IFN-γ, and TNF-α, along with increased IL‑6 and IL‑23. Additionally, IL‑27, an immunosuppressive cytokine, is also elevated during this period and further contributes to susceptibility to infection. Early diagnosis and intervention are critical in administering effective care in newborns and there …

Ciliary Arl14b In Vision, Alexis Breann Crockett

Graduate Theses, Dissertations, and Problem Reports (ETD)

Primary cilia are highly specialized organelles that regulate signaling, trafficking, and sensory perception across multiple tissues, including the retina. The small GTPase ADP Ribosylation Factor-Like Protein 13B (ARL13B) is an atypical ARF-family protein enriched in cilia. ARL13B acts as a guanine exchange factor (GEF) for another small GTPase ARF-like Protein 3 (ARL3). Mutations in ARL13B cause Joubert syndrome, a ciliopathy characterized by brain malformation, developmental delays, and retinal degeneration. Despite ARL13B’s known ciliary localization and clinical relevance, ARL13B’s precise functions in cilia remain poorly defined. This dissertation investigates the cilia-specific roles and GEF-specific roles of ARL13B in photoreceptors using two …

Pancreatic Cancer In Appalachia: An Examination Of Detection, Associated Factors, And Provider Experiences With A Focus On West Virginia, Melissa Mae Elder

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Pancreatic Cancer in Appalachia: An Examination of Detection, Associated Factors, and Provider Experiences with a Focus on West Virginia

Melissa M. Elder

Introduction: The Appalachian population accounts for a substantial proportion of the United States and are uniquely susceptible to health care disparities. The Appalachian Regional Commission has reported on the inequities found within the Appalachian region as part of its formal establishment in 1965. When compared to the Non-Appalachian U.S., Appalachia experiences a higher incidence of chronic disease such as diabetes, cancer, lung, and liver disease; mortality from diseases of despair constituting prescription drug, alcohol, illegal drug use, …

Artificial Engineering Intelligence Proxy Modelling For Numerical Reservoir Simulation Of Co2 Injection, Mohammad Altahow

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Artificial Engineering Intelligence Proxy Modelling for Numerical Reservoir Simulation of CO2 Injection

Mohammad Altahow

This study uses Artificial Intelligence (AI) and Machine Learning (ML) to improve the speed and efficiency of reservoir simulations for CO₂ storage applications. Numerical reservoir simulators, such as CMG, provide accurate predictions but demand extensive computational time and resources, making them impractical for rapid scenario analyses. To tackle this challenge, I developed a Smart Proxy Model using Artificial Neural Networks (ANNs) within the Improve software platform to replicate the results of numerical reservoir simulations conducted with CMG.

The framework predicts key reservoir performance indicators, including …

Applications Of Deep Learning For Optimizing Fingerphoto And Latent Fingerprint Biometrics, Amol Sanjay Joshi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fingerprint-based biometric recognition remains one of the most dependable and widely adopted approaches for identity verification due to its permanence and distinctiveness. Recent advancements in mobile and contactless imaging have extended fingerprint acquisition beyond controlled environments into unconstrained, real-world conditions through fingerphotos, contactless fingerprint images captured by digital or smartphone cameras. While this paradigm shift enhances accessibility and user convenience, it introduces significant technical challenges. Variations in illumination, focus, and motion blur often degrade ridge patterns, making accurate feature extraction and matching more difficult. Similarly, in forensic applications, latent fingerprints, incomplete or smudged prints lifted from surfaces, pose unique challenges …

Exploring The Ruminal Microbiome And Its Impacts On Feed Efficiency In Beef Cattle, Taylor Simone Sidney

Graduate Theses, Dissertations, and Problem Reports (ETD)

The ability for beef cattle to utilize feed efficiently is a critical determinant for both economic and environmental sustainability in livestock production. However, despite extensive research, the complex microbial ecosystem within the rumen and its relationship to feed efficiency remain incompletely understood. This dissertation explores the physiological and microbial foundations of feed efficiency by characterizing how rumen microbial communities and their functions differ among beef cattle with divergent residual feed intake (RFI) phenotypes and how the RFI status of beef cattle influenced their response to dietary interventions such as supplementation with a Bacillus-based feed additive. In the first study, …

Sleep, Endocannabinoid Signaling, And Cortical Processing In Mouse Models Of Autism Spectrum Disorder, Bryan Rodriguez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Sleep plays a crucial role in memory consolidation, neuronal plasticity, and cognitive function. Individuals with autism spectrum disorder (ASD) often experience sleep disturbances, which are positively correlated with symptom severity. However, on the surface, sleep architecture is remarkably normal under baseline conditions in many rodent models of ASD. The goals if this dissertation were to investigate whether regulation of sleep, biochemical signaling during sleep, and downstream consequences of sleep on behavior are altered in two mouse models of ASD. In Aim 1, we tested the hypothesis that sleep phenotypes emerge in ASD models under conditions of high sleep pressure. We …

Feasibility Testing Of A Web-Based Phq-9 Test For Student Depression, Israel Oluwagbenga Odugboye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Feasibility Testing of a Web-Based PHQ-9 Test for Student Depression

Israel Odugboye

Student depression stands as a critical public health issue because it affects numerous young adults who experience academic decline, disability, absenteeism, productivity reduction, and suicidal thoughts. The general population shows a 10% to 15% lifetime risk of developing depression which leads to a twentyfold elevation in suicide risk for depressed individuals [3]. The Patient Health Questionnaire-9 (PHQ-9) serves as a popular tool for detecting depressive symptoms and determining severity levels among students from different cultural backgrounds. The assessment contains 27 possible scores which follow DSM depressive symptom criteria …

Investigating The Psychological Determinants Of Rural Volunteer Firefighters’ Health, Occupational Performance, And Resilience, Candice Jaye Brown

Graduate Theses, Dissertations, and Problem Reports (ETD)

Volunteer firefighters (VFFs) are essential to rural emergency response, and their ability to perform effectively depends on their mental and physical readiness. Given the high prevalence of mental and physical health challenges among VFFs, there is a critical need for research to better understand how these factors interact to develop targeted interventions that can systematically improve VFF functioning. This study addressed gaps in the literature by examining the intersections and mechanisms shaping rural VFFs’ coping functions, physical health, occupational performance, resilience, and social support. An explanatory sequential mixed methods design was employed, beginning with a quantitative survey of 180 West …

Bridging The Gap Between Structural And Cellular Biology: Insight Into The Organization Of Glycolytic Enzymes In Cells, Heather Hansen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Glycolytic enzymes are spatially organized in the cytoplasm, and are shown to localize with cellular structures such as the plasma membrane, F-actin, mitochondria, or associate independently within the cytosol. The assembly of these enzymes is hypothesized to regulate pathway flux to meet the energetic needs of the cell. However, it is unclear whether all of these assemblies have the same mechanism of formation or function in the cell. We investigated the role of glycolytic enzyme assemblies in cells, using the glycolytic “gatekeeper” enzyme phosphofructokinase-1 (PFK1). PFK1 is extensively regulated by multiple mechanisms, including over 20 allosteric ligands, post translational modifications, …

The Effects Of Operatic Voice Type On Singer Identity, Adelaide J. Mcdonald

Graduate Theses, Dissertations, and Problem Reports (ETD)

Within Western art music, voices are typically classified using the Fach system, which is based upon vocal characteristics and separates singers into the categories of soprano, mezzo soprano, contralto, counter tenor, tenor, bass, and baritone. Over time, these categories have become embedded with social and cultural meaning within the operatic world, leading to the development of stereotypes and expectations surrounding singers, as well as social categories and identities, referred to in this study as “sociocultural vocal categories” and “sociocultural vocal identity,” respectively. Currently, there are limited explorations of the sociocultural vocal categories and their associated stereotypes, with research on singer …

Weakly Reversible Deficiency Zero Realizations Of Polynomial Dynamical Systems, Neal Ryan Buxton

Graduate Theses, Dissertations, and Problem Reports (ETD)

Weakly reversible, deficiency zero (WR0) systems form a large class of polynomial ODEs modeling chemical reaction networks. Their behavior is exceptionally stable: they have unique positive steady states, which are locally asymptotically stable (they are also conjectured to be globally asymptotically stable). This powerful result (the Deficiency Zero Theorem) applies to a large class of high dimensional, nonlinear polynomial dynamics, and is independent of the choice of parameters in the model. In this dissertation we present two algorithms that expands the scope of the Deficiency Zero Theorem to:

1. Networks with WR0 realizations, i.e. networks that are not necessarily WR0 …

Probing The 10-23 Dnazyme Catalytic Core: Insights From Structural And Mechanistic Studies, Evan Rhyse Cramer

Graduate Theses, Dissertations, and Problem Reports (ETD)

The 10-23 DNAzyme is a catalytically active DNA oligonucleotide capable of cleaving RNA at purine-pyrimidine junctions in the presence of divalent metal ions, most notably magnesium. Despite its promise as a programmable RNA knockdown tool, its clinical and biotechnical utility has been hampered by limited structural characterization, low catalytic efficiency under physiological conditions, and poor understanding of its in-cell activity. This dissertation presents a comprehensive framework for the structural and functional analysis of DNAzymes using the 10-23 DNAzyme as a model system. In the absence of high-resolution structures, we first employed detailed in vitro biochemical assays to map essential residues …

Access And Entitlement: Investigating The Contours Of Public Health In Late Colonial Bengal And Post Colonial West Bengal (1920-1960), Ametasree Bhattacharya

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation employs the comparative framework of “Access and Entitlement,” which serves as a metric to measure the goods and services the state could responsively provide to the public. It utilizes this framework to analyze the realm of public health in Bengal/West Bengal before and after decolonization. The main body is divided into two parts: the first three chapters focus on malaria, and the last three on nutrition. The first chapter explores debates over malaria control between 1919 and 1935. The second examines anti-malarial efforts from 1935 to 1947, emphasizing the influence of communal politics and the Second World War …

Evolving Secure Authentication From 5g To 6g: Advancing Privacy And Resilience In Next-Generation Networks, Isabella Deanne Lutz

Graduate Theses, Dissertations, and Problem Reports (ETD)

The fifth generation (5G) of mobile networks introduced groundbreaking improvements in connectivity, latency, and reliability. As 5G continues to expand across commercial and de- fense sectors, ensuring the privacy and integrity of its authentication mechanisms remains paramount. The foundation of 5G security lies in the Authentication and Key Agreement (AKA) protocol, which enhances user identity protection and establishes mutual authenti- cation between the user equipment (UE) and the network. Despite these advances, several weaknesses persist, including replay-based desynchronization, linkability, and correlation at- tacks under realistic adversary models. This thesis provides a unified analysis of these vulnerabilities and introduces a lightweight …

A Durability Evaluation Of Class B Concrete Bridge Substructures Under West Virginia Freeze–Thaw Conditions, Nathaniel Wayne Dunbar

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study evaluates whether the West Virginia Division of Highways (WVDOH) Class B concrete specification for bridge substructures remains adequate under modern durability and design-life expectations. The current specification, which permits a minimum compressive strength of 3,000 psi, reflects practices established when shorter service lives were generally assumed. Modern AASHTO LRFD provisions are based on a 75-year design life, raising concern that this lower-strength concrete may not provide sufficient durability under West Virginia’s climatic conditions.

To address this issue, bridge inspection data, regional climate mapping, and durability modeling were used to assess the condition and performance of concrete substructures across …

Parameter Estimation Of A 100 Seater Simulated Passenger Aircraft, Michael James Winston

Graduate Theses, Dissertations, and Problem Reports (ETD)

Virtual flight test aircraft provide good opportunities to test new parameter estimation methods. However, good estimates for the parameters in VIRTTAC Castor, a virtual test aircraft, are unavailable. This thesis uses two well-established time domain methods, the Output Error Method and the Filter Error Method, to estimate the parameters of VIRTTAC Castor. Three standard maneuvers were used: Elevator 3-2-1-1, Rudder Doublet, and Aileron Multi-Step. The parameters were estimated across three different flight conditions: weight, altitude and air speed, which resulted in 27 tests for each maneuver. All parameters, and standard deviations estimated are included in the appendix as a table.

Effects Of Environmental And Anthropogenic Gradients On Fish Beta Diversity In Central Appalachian Streams, Alanna Kaylee Lowther Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

Understanding the environmental and spatial drivers of community composition is essential for conserving freshwater biodiversity. We examined how environmental gradients, land cover, and spatial structure influence fish beta diversity in wadeable streams across West Virginia, USA. We quantified total beta diversity and partitioned it into species replacement and richness difference components and used local contributions to beta diversity (LCBD) to identify compositionally unique sites. Community–environment relationships were evaluated with distance-based redundancy analysis (dbRDA), and a beta regression GLMM was used to test how elevation, slope, land cover, and stream order (factor) predicted LCBD while accounting for spatial structure (dbMEMs) and …

Identification, Mapping And Treatment Of The Invasive Rosa Multiflora Using Unmanned Aerial Systems And Machine Learning Models, Kylie Virginia Shaw

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive species are introduced species that cause detrimental impacts to the native ecosystem or cause harm to human health. The work necessary for land managers to survey for and treat invasive species takes up limited time, labor, and financial resources. This study assesses how Unmanned Aerial Systems (UAS) and machine learning models can be used to make the identification, mapping, and treatment of invasive vegetation more efficient and effective. A UAS-mounted multispectral camera captured images of our target species, Rosa multiflora (multiflora rose), throughout its growing season in southwest Pennsylvania. A random forest machine learning model was trained on these …

Development Of A Model To Estimate Engine Crankcase Methane Vent Emission Rates, Juan Pablo Rincon

Graduate Theses, Dissertations, and Problem Reports (ETD)

The primary focus of this research is the modeling and validation of crankcase methane emissions stemming from natural gas combustion engines commonly deployed in the natural gas compression industry. The models employed rely on equations predicting the flow rate and composition of losses, typically generated within reciprocating piston-cylinder systems. Since crankcase emissions originate in a piston–cylinder arrangement, multiple variables were considered in this study, including displaced volume, pressure, temperature, flow, and viscosity (with corrections applied to account for the thermal and compositional effects on the mixture of fluids). The initial data for this research was collected during three measurement campaigns …

Implementation Of A Neural Network Execution Framework For Generalized And Cross-Platform Deep Learning Deployment And Inference On Spacecraft Systems, Rafael Polanco Segovia

Graduate Theses, Dissertations, and Problem Reports (ETD)

Recent advances in hardware and software technology have made it possible to implement more resource-demanding deep learning algorithms in constrained hardware environments. This creates opportunities to use deep learning for aerospace applications on increasingly smaller aerospace vehicles. This work presents the implementation of a Neural Network Execution Framework (NNEF), which aims to provide a cross-platform and reusable framework to deploy and execute trained neural networks for deep learning aerospace applications. The NNEF executes any neural network inference process regardless of the original deep learning framework in which it was created, for supported flight software platforms, and space-like computer boards. Users …

Green Bank Chime/Frb Outriggers Commissioning And Analog System Development, Kholoud Sharif Tag Alkhatem Khairy

Graduate Theses, Dissertations, and Problem Reports (ETD)

The main objective of this thesis is to document the development and commissioning of the Canadian Hydrogen Intensity Mapping Experiment. (CHIME) outrigger at the Green Bank Observatory. (GBO) in Green Bank, WV. This novel cylindrical wide-field radio transient telescope is currently operating in conjunction with CHIME. The CHIME outrigger at GBO aims to contribute significantly to the field of radio astronomy, with implications for both Fast Radio Burst. (FRB) science and broader astronomical research. The construction and commissioning of the CHIME outrigger at the GBO mark a pivotal step forward in pursuing high-precision wide-field detection and localization of radio transients, …

Modeling Relativistic Fluids In Dynamical Spacetimes, Terrence Alphonse Pierre Jacques

Graduate Theses, Dissertations, and Problem Reports (ETD)

Multi-messenger astrophysics opens a new era in our understanding of the most dynamic and energetic systems in the Universe. Correlating gravitational-wave and electromagnetic signals in space and time enables stringent tests of models for core-collapse supernovae, merging supermassive black-hole binaries with accretion disks and jets, and mergers of compact object binaries such as binary neutron stars (BNS) and white dwarfs. Comparisons between models and multi-messenger observations may be used to constrain the neutron-star equation of state (EOS), formation channels for compact-object binaries, and emission mechanisms behind short gamma-ray bursts.

In modeling such astrophysical systems, great success has been achieved by …

Watershed-Level Survey Of Antimicrobial Resistance From Onsite Wastewater Systems, Trey Franklin Clark

Graduate Theses, Dissertations, and Problem Reports (ETD)

The emergence of antimicrobial resistance (AMR) has quickly become one of the largest global health and development threats. Research related to environmental modes of transmission of AMR has accelerated in recent years, and the US Environmental Protection Agency is particularly interested in this emerging contaminant. Knowledge of how onsite (decentralized) wastewater treatment systems contribute to this issue is lacking, so this research serves to analyze and quantify the environmental dissemination of AMR and fecal contamination from these sources at a watershed level while using statistical analysis to assess relationships between physiochemical, spatial, and sampling parameters. This research surveyed four watersheds …

Youth Sport Organizational Leaders’ Perceived Strengths And Challenges Working With Volunteer Coaches: A Case Study, Hannah Swartz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Youth sport organizations in the United States rely heavily on volunteer coaches to deliver accessible and developmentally aligned programming, yet little research has examined how organizational leaders perceive and manage this volunteer workforce. Existing scholarship has focused primarily on volunteer coach motivations and experiences from the coach perspective, leaving a gap in understanding the views of those responsible for recruiting, training, retaining, and supporting volunteers. Guided by the youth sport social-ecological model (NYSS, 2019), the recent USOPC Commission Report, and principles of self-determination theory (Ryan. & Deci, 2000), this instrumental case study explored youth sport organizational leaders’ perceptions of working …