Rational Design Of Small Molecules Targeting Mitochondrial Redox Proteins, Matheus Barbosa Belchior

Graduate Theses, Dissertations, and Problem Reports (ETD)

Reactive oxygen species play a crucial role in many cellular processes. Despite being a natural byproduct of cellular metabolism, overexpression of these species causes damage to the cell, leading to cell dysfunction. Central to the regulation of these highly reactive molecule is the mitochondria. Impairment in its function has been associated with oxidative stress within the cell. Herein, a ligand-based and structure-based approach to design new small molecules to inhibit mitochondrial redox proteins associated with oxidative stress and reactive oxygen species. In the first project two molecules were synthesized and characterized as potential monoamine oxidase B inhibitors. Results showed two …

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 …

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 …

A Difference-In-Differences Investigation Of The Impact Of State-Mandated Campus Carry Laws In Texas On Violent Campus Crime Rates, Ryan Matthew Gibson

Graduate Theses, Dissertations, and Problem Reports (ETD)

The purpose of this study is to examine the potential impact of state-mandated campus carry laws on sexual misconduct and other violent crime statistics at public, four-year institutions. The study focuses on the state-mandated campus carry law put into effect in Texas starting in 2016 to analyze whether or not it had an impact on campus crime rates. Findings of the study showed that reported campus crime increased at Texas institutions post-2016 at a larger rate than the states that explicitly ban campus carry. Due to a lack of data on the number of individuals carrying guns on campuses in …

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 …

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 …

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 …

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 …

Novel Design And Fabrication Of A High-Speed Transient Heat Flux Sensor For Application To Rotating Detonation Engines, Zachary Todd Tallman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rotating detonation engine (RDE) combustion systems have been a topic of interest in the pressure gain combustion community for their benefits over traditional gas turbine engine combustors. However, cooling requirements for these engines are significantly higher and less predictable than those of non-detonating engines. To understand and quantify the high-speed heat transfer dynamics within an RDE, a novel high-frequency heat flux sensor is presented. This study aims to design a robust, single-sided sensor that can withstand the high temperature and harsh environment of an RDE for extended durations. Screen printing is used to deposit a layered, platinum-yttria-stabilized zirconia (YSZ) film …

Three Essays On The Socioeconomics Of Drinking Water Pfas Contamination, Nabin Babu Khanal

Graduate Theses, Dissertations, and Problem Reports (ETD)

Per- and polyfluoroalkyl substances (PFAS) are a group of over 15,000 synthetic compounds widely used for their resistance to heat, stains, grease, and water. While central to many modern conveniences, ingestion of PFAS is increasingly linked to adverse human health outcomes and are now detected globally in drinking water systems. This dissertation investigates three interrelated aspects of PFAS contamination in U.S. drinking water: (1) socioeconomic determinants and spatial patterns of contamination; (2) the economic impacts of contamination on residential property values; and (3) the effect of inconsistent PFAS regulations on public trust in environmental governance.

Using data from the U.S. …

Imitation Learning In Robotic Manipulation Using Diffusion Models, Marlon Domingues De Oliveira

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work deals with the problem of teaching robots by demonstration, also known by imitation learning. The main objective of this area of research is to enable the autonomous execution of complex robotic tasks using neural networks trained on expert-generated data, thus allowing the transfer of human knowledge to machines. To this end, this thesis describes an experimental setup especially designed for the study of imitation learning in robotic manipulation tasks and the adaptation and evaluation of a previously published technique to this setup. The experimental setup developed in this work is based on the Franka Emika Research 3 manipulator, …

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 …

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 …

This Is A War: The 1977-78 Coal Strike And The Fracturing Of The Postwar Social Compact, Christian B. Rowe

Graduate Theses, Dissertations, and Problem Reports (ETD)

The 1977–78 coal strike was a landmark moment for the American labor movement. Despite holding out for 110 days with no pay or benefits through a historically severe winter, miners were unable to advance their demands and achieve a progressive contract. By invoking the Taft–Hartley Act to end the strike, Jimmy Carter destabilized the New Deal political coalition by enraging one of its core constituencies and placing the needs of the state over the needs of unionized industrial workers. The BCOA’s immovable position in negotiations was an early sign that the labor-management accord that had governed industrial relations since World …

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 …

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, …

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 …

"She's Such A Nice Girl": Exploring The Literacy And Identity Formation Practices Of Black Girls In White, Appalachian Communities, Tamicah Tierra Owens

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study examines the experiences and stories of two Black girls in predominantly White Appalachian communities, focusing on the language and literacy practices they employ to navigate and make sense of their Black feminine identities. It focuses on how literacy and language skills acquired from spending quality time with their mothers, engaging in various spaces with friends, and engaging in interest-driven traditional media and/or social media helped them to analyze their communities’ and the larger landscapes’ discourses around race and gender to create and modify their desired identities. This qualitative study employs narrative case study to center the lived experiences …

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 …

Novel Phenomena In Chiral And Disordered Crystals, Zachary Louis Romestan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The concept of symmetry is central to our understanding of the physical world. Core symmetries—comprising time reversal, charge conjugation, spatial inversion, and rotation—are integral in maintaining essential conservation laws. They also play a critical role in the manifestation of new quantum phases that arise when these symmetries are disrupted. At the heart of contemporary research in condensed matter physics is the exploration of how basic symmetries interact with material imperfections. This examination delves deeply into the ways that inherent symmetrical properties and structural anomalies within materials influence each other, providing crucial insights into the field. This dissertation presents an investigation …

Development Of Novel Carbohydrate-Based Nanoparticles For Precision Drug Delivery, Krystal Ann Hughes

Graduate Theses, Dissertations, and Problem Reports (ETD)

Nanoparticle-based drug delivery has made tremendous advancements in the last decade. However, several critical factors, including precision drug delivery at the site of interest, long-term storage stability, and controlling release profiles of drugs in the systemic circulation, need to be addressed for successful clinical translation of nanomedicine. This dissertation presents novel carbohydrate-based nanoparticles that achieve precise intracellular delivery and therapeutic release at the disease site. We present the formulation and optimization of polymeric and polymer-lipid hybrid nanoparticles that enable precision intracellular delivery and passive accumulation of therapeutics in the bone marrow. Intracellular delivery is highly impactful and sought after. One …

A Quality Improvement Initiative To Decrease Sugammadex Expenditures, Jordan Austin Gardo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

A Quality Improvement Initiative to Decrease Sugammadex Expenditures

Jordan Gardo

Introduction/Background: The manufacturer’s suggestion in the dosing of the Sugammadex is

generally dosed at 2-4 mg/kg of total body weight (TBW) depending on the extent of

neuromuscular blockade. Evidence suggests that in the morbidly obese population, this

can lead to excessive dosing due to the drug's hydrophilic properties, making it less cost-

effective. Dosing based on adjusted body weight (ABW) leads to dose reductions while

achieving full reversal of neuromuscular blockade as measured by quantitative train-of-

four monitoring, resulting in lower costs from decreased vial usage.

Purpose: The purpose …

Vital Rates And Nest Site Selection Of Merriam’S Wild Turkeys (Meleagris Gallopavo Merriami) In South-Central, South Dakota, Luke N. Mccray

Graduate Theses, Dissertations, and Problem Reports (ETD)

Wild turkeys (Meleagris gallopavo) are an economically and culturally significantly game species throughout much of the United States. Within South Dakota, spring turkey hunting generates approximately $20 million in expenditures annually to local economies. Merriam’s wild turkeys (Meleagris gallopavo meriami) were reintroduced to the Missouri River Breaks of Gregory County, South Dakota, USA, between the 1950s and 1980s, and was one of the most successful reintroductions in the state. However, a recent decline in gobbler harvest suggests a potential decline in this population. To estimate survival and reproduction and evaluate nest site selection, we captured 121 …

Molecular Characterization Of Fungus-Arthropod Associations, Angie M. Martin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Arthropods, or phylum Arthropoda, are the largest group of animals, accounting for over three quarters of all animal records on NCBI Taxonomy. And yet, only 40% of all deposited sequences on NCBI Nucleotide come from arthropods. Clearly, arthropods are an understudied group of animals: they are small, often drab, and lead lives very alien to our own. Arthropods have chitinous exoskeletons, segmented bodies, and jointed appendages, and include crabs, barnacles, insects, spiders, and millipedes. Since the era of DNA based studies took off in the 1980s, DNA and other small molecules have been integral to our understanding of the Earth …

Investigating The Physiological, Metabolomic, And Transcriptomic Changes In Response To Telomerase Deletion In Saccharomyces Cerevisiae, Taizina Momtareen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Telomerase is an enzyme found in rapidly dividing cells that maintains chromosome ends and prevents the loss of genetic information during cell division. When telomerase is inactive, cells gradually lose their telomeres and eventually stop dividing. In yeast, a rare subset of cells can bypass this growth arrest by switching to a recombination-based mechanism to maintain telomeres. Therefore, yeast provides a powerful system to study this adaptation, as telomerase-deficient strains can generate 'survivors' that mimic the Alternative Lengthening of Telomeres (ALT) pathway observed in some human tumors. In this work, my goal was to examine how a telomerase-null (TLC1 …

Characterization Of A Descending Neuron That Modulates Flight Performance And Provides Input Onto A Flight-Related Predictive Motor Circuit, Andisheh Balouchi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Descending neurons (DNs) play a critical role in sensorimotor integration by relaying motor information to the ventral nerve cord (VNC). Within the VNC, local interneurons, other DNs, and ascending neurons (ANs) make circuits with sensory and motor neurons to modify flies’ behavior. One important AN pair in Drosophila Melanogaster is mesothoracic ascending histaminergic neurons (MsAHNs), which are known to convey predictive wing motor signals to the brain. DNg32 is the primary upstream synaptic partner of MsAHNs, integrating DNg32 input with other inputs to generate predictive motor signals. The goals of this study were to 1) map the synaptic connectivity of …

Police Abuse In America And The Search For Remedy, Howard Ryan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The dissertation contends that, despite many diligent efforts—from mass protests to a presidential task force—America is not yet on path to remedying its outsized patterns of police abuse. The abuse problem is broadly characterized herein through a “triad” of over-enforcement, excessive force, and racial discrimination. The Washington Post’s “Fatal Force” database, covering the years 2015 through 2024, is offered as a bellwether of American progress in addressing its police abuse; and, it is observed, the nation’s yearly count of fatal police shootings of civilians has been increasing, rather than decreasing.

To help make sense of our lack of national progress, …

Application Of Machine Learning And Natural Language Processing To Understand The Partisan Mobilization Of Ethnic Minorities, Ani Tepnadze

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores how competing interests across secondary dimensions of identity shape marginalized groups' capacity to institutionalize their grievances, particularly ethnic minorities. More specifically, I explore two mechanisms, intragroup cohesiveness and distinctiveness, as a driving force of grievance mobilization. This research is interdisciplinary, drawing on theories from political sociology, political communications, and computational social science. I examine the question of ethnic group particization in two stages. In the first stage, I developed an original machine learning pipeline to process large text corpora and identify the indicators of the strength of collective ethnic grievances in online group discussions. In the second …

Individuals' Trust Of Bank Acquisitions, Christy Mccollum Knight

Graduate Theses, Dissertations, and Problem Reports (ETD)

Recent transactions within the financial services industry have seen an uptick in credit unions acquiring traditional community banks. Between the years 2020 and 2024, there were 64 announced bank mergers and acquisitions by Credit Unions, and this trend is expected to continue (S&P, 2025). As there are fundamental differences between credit unions and traditional community banks, the question arises, “How will consumer confidence and trust be affected by these mergers and acquisitions?”

This dissertation investigated how consumer trust would be affected by their propensity to trust others (Disposition to Trust), their perception of the financial services industry (Institution-Based Trust), their …

Development And Applications Of Capillary Vibrating Sharp-Edge Spray Ionization Coupled With Atmospheric Pressure Chemical Ionization (Cvssi-Apci), Madison Elizabeth Pursell

Graduate Theses, Dissertations, and Problem Reports (ETD)

Mass spectrometry (MS) is a technique that is used in fields in which both complex and non-complex mixtures are analyzed. The state-of-the-art ion sources that are utilized for MS are being demonstrated to be functional for direct infusion of samples as well as for use with online separations. However, ion sources, such as electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) can encounter problems such as ion suppression and an inability to ionize based on size and/or polarity, respectively. Further these sources are bulky and require gas flow, heat sources, and additional high voltage power supplies for optimal performance. …