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Astrocyte Reprogramming By Th17 Cells In Autoimmune Neuroinflammation: Mechanisms And Implications, Sarah Marie Milne

Graduate Theses, Dissertations, and Problem Reports (ETD)

Multiple sclerosis (MS) is a cell-mediated, demyelinating autoimmune disease that affects the central nervous system (CNS). T helper (Th) 17 cells mediate the pathogenesis of MS and its animal model, experimental autoimmune encephalomyelitis (EAE), in part by infiltrating the CNS and interacting with astrocytes, a resident glial cell. Astrocytes are central to coordinating several inflammatory processes in the CNS and can respond to cytokines and chemokines produced by encephalitogenic Th17 cells. Pathogenesis of MS and EAE requires the infiltration of immune cells from the periphery, including autoreactive T cells, B cells, monocytes, and neutrophils, that lead to neuroinflammation, demyelination, and …

An Approach For Robotic Pollination That Utilizes Imitation Learning, Ronald Michael Butts Ii

Graduate Theses, Dissertations, and Problem Reports (ETD)

The global decline in pollinator populations poses a significant threat to agriculture, motivating the development of robotic pollination systems. Previous works demonstrated successful robotic pollination of bramble flowers using visual servoing; however, pollination was limited to specific flower orientations. As such, the objective of this work is to develop a robotic pollination system that is capable of pollinating a wider range of orientations.

This research introduces an imitation learning-based framework for robotic pollination that positions the manipulator to view chosen flowers in specific orientations. The developed model leverages object detection (YOLOv8) to identify individual flowers and a convolutional neural network …

Dynamic Exchange-Correlation Functional For Bandgap Optimization: Reparametrization And Machine Learning, Viviana Faride Dovale Farelo

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores predicting the physical properties of solids using first-principles methods, with a focus on Density Functional Theory (DFT). DFT uses the electronic density within a material to predict its properties, simplifying the treatment of electron-electron interactions and allowing the study of realistic systems with a balanced treatment between accuracy and computational efficiency. Additionally, machine learning (ML) is employed to create correlations between some physical properties of solids and other properties or parameters that are more difficult to calculate.

The main problem addressed in this study is adjusting the parameters in the Strongly Constrained and Appropriately Normed (SCAN) semilocal …

Spiral Wave Teleportation And Multiplex Network Synchronization In Light Sensitive Belousov-Zhabotinsky Systems, Shannyn Alicia Tyler

Graduate Theses, Dissertations, and Problem Reports (ETD)

We experimentally and computationally investigate dynamical behaviors in excitable and oscillatory media using light sensitive Belousov-Zhabotinsky (BZ) systems. These systems are not in a state of thermodynamic equilibrium, and have been proven to show various interesting phenomena including spatiotemporal patterns, self-organization, and chaos. We utilize the BZ reaction, a nonlinear chemical reaction, known for its relaxation-type oscillations, to explore the dynamics of these systems.

We examine spiral wave teleportation in an excitable media as an effective alternate defibrillation method. Spiral waves have emerged as a key phenomenon associated with the initiation and persistence of cardiac arrhythmias. Using a light sensitive …

Investigation Of Space Charge Effects On Co2 Electrocatalytic Reduction On Gd-Doped Ceria Via Scanning Kelvin Probe And Model-Based Bayesian Analysis, Alejandro Mejia

Graduate Theses, Dissertations, and Problem Reports (ETD)

In studying novel energy conversion and storage systems, such as high-temperature electrolysis, numerous underlying fundamental physical processes remain unclear or inadequately understood. Among these, the modeling and comprehension of surface reaction mechanisms, coupled with the intricate effects of space‑charge interfaces, remains an unclear and challenging area of research.

The work of this dissertation involves the development of a 2D finite element analysis model, leveraging the robust MOOSE framework from INL. This model, featuring inhomogeneous defect thermodynamics for near-surface chemistry, formulated through Poisson‑Cahn variational theory, has been exploited for studying the electrocatalytic reduction of CO₂ on gadolinia doped ceria. The …

Data-Driven Modeling Of Oxygen Kinetics In La0.6sr0.4co0.2fe0.8o3−Δ (Lscf) For High-Temperature Reduction Of Co2 In An Electrolysis Cell, Ferron Campbell

Graduate Theses, Dissertations, and Problem Reports (ETD)

Electrolysis systems are critical to several societal applications, particularly energy storage and conversion. Developing these systems requires a detailed knowledge of the chemistry and thermodynamics of the materials used in the electrolysis cell. This work focuses on using embedded scientific machine learning as an efficient way to build an interpretable model for the reaction and transport kinetics in the LSCF electrode, whose performance directly influences the electrolysis system’s performance. The models developed in this study are trained using the publicly available machine learning package, FoKL-GP. This package incorporates a robust Gibbs sampler that employs a forward variable selection process to …

Examining The Role Of Microbial Communities In Soil Carbon Cycling Across Levels Of Complexity, Chansotheary Dang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Microorganisms provide the foundation for many ecosystem processes and are important drivers of carbon and nutrient cycling. The advancement of next generation sequencing has allowed researchers to lift open the lid on the ‘black box’ in microbial ecology. While previously unculturable microbes can now be characterized with the 16S rRNA gene, answering ‘who’s there?’ is only part of the challenge. Hidden inside the ‘black box’ remains the question, ‘who’s doing what?’. Recent development in trait-based methods like quantitative stable isotope probing (qSIP) equipped microbial ecologists with the tool to connect taxon-specific traits to ecosystem processes. Despite the growing body of …

Enhancing Robotic Exploration Through Semantically-Guided Sampling Strategies, Christopher Alexander Arend Tatsch

Graduate Theses, Dissertations, and Problem Reports (ETD)

From space and deep-sea exploration to disaster response and environmental monitoring, autonomous robots are essential for advancing science, improving safety, and addressing critical challenges. This dissertation introduces a novel open-source strategy for autonomous robotic exploration: the Semantically-Guided Exploration (SGE) framework. Designed for ground vehicles, SGE integrates semantic understanding into the autonomous exploration process, improving decision-making in complex environments. Specifically, the proposed sampling-based approach uses the information from the semantic segmentation of RGB images and depth images to guide the robot's selection of exploration goals. This method enables the robot to steer away from potential dangers such as large rocks and …

Analysis Of Pulsar Discoveries And Pulse Profile Variability: From Pulsar Candidates To Gravitational Wave Detector, William Carl Fiore

Graduate Theses, Dissertations, and Problem Reports (ETD)

Last year, pulsar timing arrays (PTAs) reported evidence of a gravitational-wave (GW) background at nanohertz frequencies, opening a new window into the Universe. PTAs measure GW-induced variations in the timing of radio pulses from millisecond pulsars (MSPs) in our Galaxy. In order for PTA experiments to confidently detect and characterize the GW background, they must continue to regularly observe many MSPs and measure their pulse times of arrival as precisely as possible. This motivates efforts to find new MSPs with pulsar surveys, and to study pulsars whose unusual behavior may give rise to excess noise in PTA data sets, potentially …

Pathways To Health: Linking Accessible Green Space To Improved Health And Well‐Being In Rural Appalachia., Udday Shankur Datta

Graduate Theses, Dissertations, and Problem Reports (ETD)

Green spaces are essential for our physical health. The quality of its green space often determines the health of a community. The presence of green space in our lives is associated with reduced stress levels, better sleep, and increased feelings of safety. Lack of access to green space can lead to many health issues, such as high blood pressure, diabetes, and cardiovascular diseases, and has been linked to obesity and physical inactivity.

The Appalachian Regional Commission (ARC) defines Appalachia as a region covering 420 counties across 13 states in the eastern United States. A large part of this region is …

The Effects Of Forgetting And Disclosure On Mock Jurors' Perceptions Of An Alleged Rape, Johnathan Meier

Graduate Theses, Dissertations, and Problem Reports (ETD)

Memory recall and forgetting is a complex process. Memories can be completely forgotten (e.g., Ebbinghaus, 1885/1964; Murre, 2015) or repressed and recovered at a later time (e.g., Key et al., 1996; Foster-Lee et al., 1999). Instances of sexual assault may be disclosed to a close acquaintance or medical professional at the time of the event or kept secret until the time of reporting to authorities (e.g., Pica et al., 2020a). In the current study, mock jurors’ perceptions of credibility and guilt, as well as the amount of compensation awarded to the plaintiff, will be assessed in response to testimony depicting …

The Kaleidoscope Effect: A Solution Focused Approach To Hazing Prevention A Mixed Methods Study, Akeya Shonte Simeon

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examined the complexities surrounding hazing behaviors within the Interfraternity Council (IFC) and Panhellenic Association (PHA) student populations, as well as the perspectives of college administrators. Harmful health behaviors, such as hazing, sexual violence, and substance misuse, continue to plague these organizations, impacting over 750,000 undergraduate students across more than 770 campuses in the United States. The research employed an explanatory sequential mixed-methods design, starting with an analysis of IFC and PHA responses from the What Works for Fraternity and Sorority Safety and Success survey, focusing on five institutions: Baylor, James Madison, Louisiana State, Penn State, and Washington State …

Processing, Stability, And High-Temperature Properties Of Doped Lacro3-Based Refractory Ceramics And Composites For Harsh Environments Sensing Applications, Javier A. Mena

Graduate Theses, Dissertations, and Problem Reports (ETD)

In order to test and monitor the operational stability and conditions of various energy, transportation, and manufacturing systems and their components, accurate sensors capable of operating at temperatures over 1000 °C in various environments for long durations are required. In addition, many of these harsh environmental systems do not permit sensors to be directly inserted into the environment, so the sensors need to be embedded into the surrounding support or thermal protective materials. Some technological and industrial applications that require the use of harsh environment conditions sensing include nuclear and chemical reactors, jet engines, heavyduty gas turbines, rotating bearings in …

Nickel-Catalyzed Regioselective Three-Component Coupling Of Phenyl Vinyl Sulfones With Alkynes, Stephen M. Long

Graduate Theses, Dissertations, and Problem Reports (ETD)

Benzene rings are some of the most prevalent motifs found in small molecule drugs with only a few dominant substitution patterns, 1-, 1,2-, 1,4-, and 1,2,4-. Nucleophilic aromatic substitution and electrophilic aromatic substitution are traditional methods for the synthesis of substituted benzenes and are robust and commonly used by chemical manufacturers, which explains in part the observed distribution of substitution patterns. Current methods to access substituted benzenes comprise of transition-metal-catalyzed C-H activation, transition-metal-catalyzed cross-coupling, and aryne chemistry. In general, the present methods require directing/leaving groups in specific positions to proceed, which inherently puts a limitation on substrate scope. Transition-metal-catalyzed [2+2+2] …

Development Of Dynamic Modeling And Estimation Techniques For Condition Monitoring Of Advanced Energy Systems, Vivek Saini

Graduate Theses, Dissertations, and Problem Reports (ETD)

The integration of renewable energy sources into the electric grid requires the current fleet of fossil-fired power plants to operate more flexibly, leading to frequent load changes that stress critical high temperature boiler components that were primarily designed for base load operations. The more complex operating scenarios can modify component damage, compromising reliability and increasing operational costs. To ensure efficient plant operations, adaptive condition monitoring tools generalizable for different plant configurations are essential for recognizing the impacts of load-following, improving safety, and preventing outages. This dissertation work is primarily focused on the development of advanced modeling and estimation techniques frameworks …

An Inhibitory Recurrent Network In The Olfactory System, Farzaan Salman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Neuromodulatory circuits are a necessary component of neural flexibility as they are able to act differentially depending on the receptors expressed by their downstream targets. Identifying the synaptic partners of modulatory neurons and determining the neurotransmitter and receptor content of these partners is necessary to identify the rules governing neuromodulatory circuits. In this study, I characterized the circuit of the contralaterally projecting, serotonin-immunoreactive deutocerebral neurons (CSDns), the sole synaptic source of the neuromodulator serotonin in the olfactory circuit of Drosophila melanogaster, by identifying the strongest synaptic partners of the CSDns, and the expression of genes encoding neurotransmitters and receptors of …

The Relationship Between Metacognition, Study Strategies, And Students’ Performances In General Chemistry And Organic Chemistry Courses, Nghiem Uy Tieu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many students find General Chemistry challenging, and studies have shown a link between students’ grades in chemistry and a decrease in interest in STEM fields. Similarly, Organic Chemistry has also been typically identified as a difficult course for many undergraduate students and has a notoriously high failure rate. Numerous studies have explored various methods to enhance students’ performance and experience in both General Chemistry and Organic Chemistry, but there hasn’t been much focus on students’ study strategies. In addition, metacognition, the skill of thinking about one’s thinking, had been proven in studies as a vital role in enhancing students’ achievements. …

Coal As A Resource For Rare Earth Elements In West Virginia, Rachel Elizabeth Yesenchak

Graduate Theses, Dissertations, and Problem Reports (ETD)

Although rare earth elements and yttrium (REY) are essential for manufacturing technologies vital to economic and national security, the U.S. is heavily reliant on foreign imports of these critical metals. There is significant interest in identifying and developing unconventional REY resources including coal and coal-byproducts to help secure domestic supplies of these elements. Appalachian Basin coals and byproducts are particularly enriched in REY. Coal-producing states within the basin, including West Virginia, can utilize existing infrastructure and legacy coal mining wastes to transition into the production of REY. However, in order to develop these resources, it is critical to understand the …

Fingerphoto Deblurring Using Wavelet Style Transfer, David Connard Keaton

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work focuses on a deblurring network designed specifically for the task of deblurring contactless fingerprints, a.k.a fingerphotos. This network takes the general idea of style transfer, and applies it to the realm of deblurring. The standard use case for style transfer networks is artistic style transfer, which is used for recreational purposes. For this work, though, style transfer is used in the context of deblurring. Since style transfer can transfer artistic styles from one image to another, who's to say it can’t transfer clarity and sharpness as well? This is the focus of this work; taking a blurry fingerphoto, …

Efficient Classification Of Very High Resolution Images, Mohammad I. Nouyed

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent decades, deep learning approaches have shown significant improvement in various image understanding tasks. However, analysis of high-resolution images remains a major challenge. In this work, we address the challenge of very high-resolution histopathological image (VHRHI) classification using a new information-theoretic discriminative patch selection approach. We show results on a high-resolution image dataset, namely, gigapixel whole slide tissue images for cancer tumors. Then we address how to efficiently classify challenging histopathology images, such as gigapixel whole-slide images for cancer diagnostics with image-level annotation. These ``weak labels'' are applied throughout the image but describe tumor regions of variable sizes and …

Foraging Economies: A Market Based Methodology For Robotic Swarm Foraging, John A. Little

Graduate Theses, Dissertations, and Problem Reports (ETD)

Swarm robotics involves coordinating large groups of autonomous agents to accomplish complex tasks through decentralized, adaptive behaviors, providing a robust and scalable approach suited to dynamic and unpredictable environments. While traditional swarm models frequently draw inspiration from biological systems such as ant colonies or bee foraging, other approaches use techniques from physics, control theory, and economics to achieve effective coordination. This study distinguishes itself by applying economic principles—specifically, market-driven mechanisms like auctions, utility functions based on opportunity cost, and supply-demand dynamics based on fluctuating resource values at a central base—to improve task allocation within a swarm foraging context. This approach …

From Trails To Triumph: Documenting Two Decades Of Impact With Adventure Wv, Sean Lowdermilk

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research paper and accompanying short film (https://youtu.be/gTnXbvkX0MA) examines the impact of experiential learning through the lens of Adventure WV, an outdoor orientation program at West Virginia University. Using Kolb's Experiential Learning Theory as a foundation for the research, this study explores how outdoor and expeditionary learning fosters personal and professional growth, builds a community, and deepens students' connection to the state and the institution. Through interviews with the program's founder, as well as current students and administration paired with archival footage and modern video, the research highlights Adventure WV's role in student retention, professional development, and student …

A Multimodal Physical Fatigue Assessment Method Using A Biomarker And Accelerometer-Embedded Wearable Wristband, Md Hadisur Rahman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Physically demanding tasks pose significant challenges to worker health, safety, and productivity across various industrial sectors in the United States. The construction industry is particularly affected due to the labor-intensive nature of its tasks and harsh environmental conditions. The industry suffers from unsatisfactory occupational health and safety records, with physical fatigue being a major contributor. Physical fatigue not only affects individual well-being and workplace safety but also influences productivity and the United States’ economy. Given the high incidence of injuries and accidents in the construction industry, assessing physical fatigue has become critical for improving worker safety and productivity. To address …

Effect Of Specific Data Variations On Automated Speaker Recognition, Ethan David Meighen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Speaker recognition is not a new biometric modality but there are still many obstacles in the way in order for it to become as used as fingerprint recognition, facial recognition, and iris recognition. Many real-world environmental conditions, hardware device variations, and human behavior present serious challenges to the use of opportunistic voice or speaker samples for identification purposes. Non-idealities, identified as nuisance factors, include environmental noise, input device quality, length of utterance, sample rate variation, and unscripted data are common nuisance factors that can impact speaker recognition match score performance. The impact of the nuisance factors listed above were evaluated …

Recovery Of Natural Gas Equipment Emissions Into Gas Compression Engines For The Reduction Of Potential Greenhouse Gas Emissions, John Eric Casto

Graduate Theses, Dissertations, and Problem Reports (ETD)

Since the turn of the millennium, the United States (U.S.) oil and natural gas (ONG) industry has nearly doubled its natural gas production rate. As a result, the ONG industry has recently come under increasing scrutiny for its contributions to greenhouse gas (GHG) emissions. Consequently, various solutions to this problem have been proposed and formulated to reduce the impacts of GHG emissions on the environment. West Virginia University (WVU) have found it important to research the impacts of recovering vented gas streams into prime-mover engines. The U.S. Department of Energy (DOE) and National Energy Technology Laboratory (NETL) have granted WVU …

Symptoms Of Anxiety, Trauma, Depression, And Obsessive-Compulsive Disorders In A Subsequent Pregnancy Following A Previous Pregnancy Loss, Juliana Lynn Restivo Haney

Graduate Theses, Dissertations, and Problem Reports (ETD)

Pregnancy loss is a common and intense personal event that has been found to be a risk factor for increased symptoms of mood, trauma, obsessive-compulsive and anxiety disorders in subsequent pregnancies. Using a self-report online survey, the current study hypothesizes that levels of anxiety, trauma, and obsessive-compulsive symptoms will be higher in pregnant individuals who had a pregnancy loss in their most recent previous pregnancy (n= 61) when compared to pregnant individuals whose most recent previous pregnancy resulted in a live birth (n= 62). Participants responded to an online questionnaire asking about reproductive and mental health history, symptoms of perinatal …

Seeing Red: Hostile Attribution Bias, Aggression, And Antisocial Personality Disorder Traits, Kaley Potter

Graduate Theses, Dissertations, and Problem Reports (ETD)

Antisocial personality disorder (ASPD) is a destructive and severe mental illness that costs the U.S. trillions of dollars annually. Although ASPD is significantly correlated with acts of aggression, violence, and imprisonment, not all individuals with ASPD are aggressive. In samples without ASPD, increased aggression has been linked to an error in social information processing, which is referred to as hostile attribution bias (HAB).

The current study tested the extent to which HABs, or the tendency to attribute hostility to neutral or ambiguous stimuli, predicted aggression above and beyond ASPD traits in participants with a history of incarceration. Participants (N = …

Self-Efficacy And Parental Miscarried Helping In Adherence And Transition Readiness Among Adolescents And Young Adults With Epilepsy, Kirby-Estar G. Laguerre

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Given the complex regimen associated with epilepsy, ensuring that adolescents and young adults (AYAs) adhere to their medications, and are ready to transition from pediatric to adult care, is crucial to optimizing their health outcomes. Several social and ecological factors such as self-efficacy and parental miscarried helping can strengthen or weaken an adolescent’s medication adherence and readiness to shift from pediatric to adult care. Intending to contribute to informing and improving clinical care, this study sought to understand the relationships between self-efficacy, parental miscarried helping, medication adherence, and transition readiness. Methods: Using a cross-sectional observational design, 46 AYAs with …

A Legacy Of Labor: Maternity Narratives In 1960s And 1970s North American Life Writing, Katelynn Ann Vogelpohl

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

A Legacy of Labor: Maternity Narratives in 1960s and 1970s North American Life Writing

Katelynn Ann Vogelpohl

The phenomenon of maternity has been repeatedly described as an event that shakes the very foundations of social and physical identity. As the flesh of the pregnant person literally divides to produce new life, one subject becomes enclosed within another, dramatically affecting the pregnant person’s sense of self and causing a confluence of intense, and often conflicting, feelings. In North America, there are two dominant, and seemingly opposing, discourses on pregnancy and childbirth: the institutional medical discourse and the natural childbirth discourse. …

An Exploration Of Misconceptions In Introductory Physics, Christopher Mattthew Wheatley

Graduate Theses, Dissertations, and Problem Reports (ETD)

The study of student misconceptions about physics concepts has long been an important area of inquiry in physics education research (PER). The research discussed in this dissertation builds upon the developments in PER by exploring the prevalence of consistently held undergraduate student misconceptions in introductory calculus-based physics. This thesis explores the nature of student misconceptions, mistakes, and naive answering patterns in both introductory undergraduate Newtonian mechanics and electromagnetism by applying a network analytic technique called module analysis to student responses to different concept inventories from institutions of various levels of incoming physics preparation. Each study applying these methods also demonstrates …