Digital Commons Network^™

Physics Oriented Deep Learning For Material Prediction And Generation, Nihang Fu

Theses and Dissertations

The discovery of new materials is critical to advancing various industries, but traditional experimental methods for materials discovery remain slow and resource-intensive. Recent advances in machine learning (ML), particularly deep learning (DL), have greatly improved and accelerated two main aspects of modern computational material discovery: material design (e.g., material generation) and material screening (e.g., property prediction). However, a key challenge remains: standard ML models often struggle to perform domain-specific tasks effectively. Incorporating domain-specific knowledge, specifically the underlying physics of materials, into ML/DL models is key to improving the accuracy and reliability of material generation and prediction models.

This dissertation discusses …

Strategic Pricing In A Disrupted Hospitality Landscape: Asset Valuation, Competitive Behavior, And Consumer Preferences, Badr Badraoui

Theses and Dissertations

The lodging industry is experiencing profound disruption as short-term vacation rentals (STVRs) such as Airbnb increasingly compete with traditional hotels, reshaping competitive structures, consumer expectations, and pricing strategies. While prior research has examined the impact of STVRs on hotel performance metrics, significant gaps remain regarding how pricing resilience, competitive behaviors, and consumer perceptions evolve under these new conditions. In particular, little is known about how ADR-based valuation models withstand competitive pressure, how STVR hosts respond strategically to hotel pricing signals, and how consumers evaluate partitioned pricing structures across accommodation types. This dissertation addresses these gaps through three interconnected studies designed …

Investigating The Immunomodulatory Effects Of Cdk8/19 Inhibitor Senexin631 In A Her2-Positive Breast Cancer Model, Stephen O'Rourke

Theses and Dissertations

HER2-positive (HER2⁺) breast cancer is aggressive and often develops resistance to anti-HER2 therapies. CDK8 and CDK19, transcription-associated cyclin-dependent kinases (tCDKs) in the Mediator complex, are dysregulated in HER2⁺ breast cancer, correlate with poor survival, and support transcriptional escape driving therapeutic resistance. Previous studies Previous studies in immune-deficient models demonstrated that CDK8/19 inhibition (CDK8/19i) reduces pro-tumor macrophages (M2Φs), but its role in immune-competent tumors and innate immune–mediated tumor control remains unclear. Since HER2⁺ tumors are often immunogenic and anti-HER2 therapies rely on innate immune activation, reprogramming immunosuppressive M2Φ toward an M1Φ-like phenotype could enhance antitumor immunity. We hypothesized that CDK8/19i modulates …

Positive Self-Talk, Politics, And Poetry: The Impact Of A Culturally Responsive Workshop In A High School Support Lab, Danielle Ann Verwers

Theses and Dissertations

This action research dissertation describes my effort to expand access to the arts for my high school students with IEPs through a culturally responsive poetry workshop. For this qualitative study, I used ongoing content analysis to explore how the experience impacted my students and me, drawing insights from artifacts, field notes, and interview data. Predetermined categories of student identity, writing, and poetry yielded themes like positive self-talk, family, voice, and reimagining to illuminate the students’ experiences. As I analyzed my own experience, two categories of pressure and political impact emerged, characterized by freedom, growth, struggle, burnout, and hope. In addition …

Electrochemically Active Liquid Organic Hydrogen Carriers For Energy Generation And Storage, Jinyao Tang

Theses and Dissertations

The growing demand for sustainable energy has spurred interest in hydrogen as a clean energy carrier, yet its widespread adoption is limited by storage and transport challenges. Liquid organic hydrogen carriers (LOHCs) offer a promising solution by enabling reversible hydrogen storage through chemical redox reactions under ambient conditions. Compared to conventional thermal methods, LOHC electrochemistry provides improved energy efficiency, operational safety, and integration into electrochemical systems. However, key challenges remain, such as catalyst deactivation, limited redox reversibility, and low system-level performance that hinder broader application. Alcohols like isopropanol (IPA) and cyclohexanol (CHOL), and amines like ethylamine, have emerged as promising …

Beyond Entertainment: Unveiling Digital Platform Strategic Implications For International Business Growth Of Individual Entrepreneurs, Hoik Kim

Theses and Dissertations

This dissertation examines how digital identity, comprising visual, psychological, and strategic components, impacts entrepreneurial success on global digital platforms. Rather than treating identity as a static or aesthetic trait, this study conceptualizes it as a dynamic and strategic construct shaped by audience perception, algorithmic systems, and institutional environments. The research is structured into three empirical studies. The first explores how facial visibility and social media engagement affect monetization on YouTube, considering the international context. The second study empirically investigates how a biometric cue influences entrepreneurial performance on digital platforms and interprets the results through the lens of social psychological perspectives. …

Some Likelihood-Based Methods For Clustering Functional Data, Tong Shan

Theses and Dissertations

The analysis of functional data is an increasingly relevant part of statistics. The exploratory data analytic method of cluster analysis plays a very important role in different fields. Over the years, researchers have developed many clustering approaches, striving to achieve more accurate and efficient clustering. In Chapter 1, we aim to improve the accuracy of our outcome when clustering functional data. To achieve this goal, we use a predictive likelihood function which serves as an objective function to optimize in order to determine the most appropriate clusters. To optimize the objective function over the space of clustering partitions, we produce …

Saw Biosensor For The Detection Of Cyanobacteria And Cyanotoxin, Tally Bovender

Theses and Dissertations

The growing prevalence of cyanobacterial blooms and associated cyanotoxins, such as microcystin-LR (MC-LR), presents a significant threat to water quality and public health. Conventional detection methods, including ELISA and PCR, are often time-consuming, expensive, and require trained personnel, limiting their application in field settings. Hence, a miniaturized, quick testing sensor is proposed to circumvent the current sensing challenges for real time, in-situ diagnostics of MC-LR. The proposed high-frequency ultrasonic sensor employs surface acoustic waves (SAW). The sensor was designed using a multi-physics simulation tool to understand wave propagation in the piezoelectric substrate (lithium tantalate) and optimize the design of the …

Optical And Thermal Characterization Of Vertically Conducting Β-Ga₂O₃ Diodes Grown On 4h-Sic Substrates For Short-Wavelength (<254 Nm) Detection, Muhammad Hassan Tahir

Theses and Dissertations

The advancement of compact, thermally stable, and efficient devices for deepultraviolet (DUV) detection below 254 nm is critical for solar-blind sensing, radiation monitoring, and high-power electronics. This thesis presents the growth, fabrication, and detailed optical and thermal characterization of vertically conducting β-gallium oxide (βGa₂O₃) Schottky barrier diodes (SBDs) grown on n-type 4H-Silicon Carbide (4H-SiC) substrates using metal-organic chemical vapor deposition (MOCVD).

β-Ga₂O₃ is an ultra-wide bandgap (UWBG) semiconductor (~4.8 eV) with intrinsic DUV transparency and high breakdown electric field, making it an ideal candidate for short-wavelength photodetection. However, its low thermal conductivity limits its vertical device performance. To overcome this, …

Modeling The Interaction Between Pain And Movement: Insights From Brain Activation Patterns And Context-Dependent Emotion In Chronic Low Back Pain, Pradeep Kumar Sahu

Theses and Dissertations

In persons with chronic pain, fear or anxiety related to movement is a well-established model under the biopsychosocial framework that explains in part, the chronicity of symptoms commonly reported by individuals with chronic low back pain (cLBP). This dissertation aimed to further understand the link between the context-dependent emotion network in the brain and movement in two separate studies using brain functional MRI and autonomic nervous system indices. Aim 1sought to investigate the brain functional connectivity linking brain regions involved in context-dependent emotion and movement while cLBP participants moved their back inside the scanner by performing a modified trunk bridging …

Effect Of Growth Conditions On The Performance Of Vertically Conducting Beta-Ga2o3 Diodes On 4h-Sic Substrate By Mocvd, Nifat Jahan Nipa

Theses and Dissertations

This thesis highlights the critical influence of doping strategies, specifically co-delta doping with silicon (Si) and indium (In), on improving the structural quality and device performance of β-Ga₂O₃-based Schottky barrier diodes (SBDs). To achieve better thermal management, β-Ga₂O₃ thin film was grown on bulk 4H-SiC substrates using the Metal-Organic Chemical Vapor Deposition (MOCVD) technique, renowned for its precise control over composition, thickness and doping profile. The ultra-wide bandgap (UWBG), high critical breakdown field and low turn-on resistance of β-Ga₂O₃ make it a strong candidate for next-generation power electronics and short-wavelength detection in extreme environments. However, the presence of structural defects …

Effects Of Verbal Tasks On Driving Simulator Performance, Jonathan Cheshire Rann

Theses and Dissertations

We report the results from a driving simulator paradigm we developed to test the effects of simple verbal tasks on simultaneous driving performance. A total of 74 undergraduate students participated in two experiments in which they controlled a car using the steering wheel to track a moving target. The dependent measure, overall deviation from target, was continuously recorded. Experiment 1 (E1) tested tracking performance during slow and fast target speeds under conditions involving either no verbal input or output (Absent), passive listening to spoken prompts via headphones (Listen), or responding to the spoken prompts (Respond). Experiment 2 (E2) was similar …

Stimulation Of The Rostromedial Tegmental Nucleus Induces Long-Lasting Avoidance Behavior, Jacob Ryan Watson

Theses and Dissertations

The role of midbrain dopamine (DA) activity in reward seeking and reinforcement learning is well-documented, contrasting the lesser-understood impact of inhibitory signaling on DAergic activity, especially in the context of aversive learning and avoidance. The rostromedial tegmental nucleus (RMTg) is a GABAergic midbrain structure activated by aversive stimuli and exerts inhibitory influence over ventral tegmental area (VTA) DAergic activity in response to aversive consequences. Stimulation of the RMTg decreases the firing rate of VTA DA neurons and direct inhibition of the RMTg – VTA circuit enhances persistent reward seeking despite aversive consequences, a major criterion of substance use disorder (SUD). …

Clinical Correlates: Using Case-Based Learning In The Physician Assistant Classroom, Pamela Schindler Wilson

Theses and Dissertations

Physician Assistant (PA) education is rigorous and comprehensive. In only 27 months, the students must learn medical knowledge and skills for effective patient care. Instruction must be efficient and effective to teach these students how to be safe and functional PAs. Of primary concern is teaching students how to perform like clinicians, which requires critical thinking, self-directed learning, and teamwork.

This convergent, mixed-methods action research explored the impacts of case-based learning (CBL) in the PA classroom. The findings support using CBL to develop clinical reasoning skills, improve comprehension of the material, and develop self-directed learning skills. CBL requires the students …

Lessons In Game Use: Examining Engagement And Content Knowledge With The Use Of Digital Game-Based Learning Lessons In Biology, Rebecca Anne Valencia

Theses and Dissertations

According to both national and local data, students in high school biology classes are disengaged in content learning and do not demonstrate sufficient understanding of the content taught during units focused on the mechanisms of heredity and gene expression. Traditional teaching methods do not hold their interest which leads to disengagement and missed learning opportunities. The purpose of this action research was to evaluate the effect of digital game-based learning lessons on biology 1 students’ engagement and content knowledge application regarding the mechanisms of heredity and gene expression, as well as on the students’ perceptions of their digital game-based learning …

Explainable Process Recommendation Through Multi-Contextual Grounding Of Dynamic Multimodal Process Knowledge Graphs, Revathy Venkataramanan

Theses and Dissertations

Can I eat this food or not? Is this food suitable for diabetes and why? Which AI pipeline is best suited for a given task and dataset? How should an end-to-end pipeline be constructed? These questions differ from factual question-answering tasks. Recipes and AI pipelines are processes consisting of several entities interacting with each other. A recipe consists of ingredients, cooking methods, and their interactions, while an AI pipeline includes datasets, preprocessing techniques, models, hyperparameters, tasks, and results. Each entity must be analyzed individually, and collective inferencing is performed to derive the final decision. This decision-making process, known as compositional …

Understanding Verbal Irony: A Contrastive Analysis Of Personal And Informational Common Ground, Ruhan Çoban

Theses and Dissertations

This study investigates how representations of personal common ground (PCG; viz., close relationships vs. strangers) and informational common ground (ICG; viz., shared world knowledge) interact in shaping a reader’s comprehension of verbal irony in fictional narratives. While previous research has shown that greater familiarity among story characters enhances readers’ comprehension of ironic statements made by the characters (Gibbs, 2000; Kreuz et al., 1999; Kreuz & Link, 2001; Pexman & Zvaigzne, 2004), the interplay between representations of PCG and ICG remains understudied. In this study, we assumed that ICG takes precedence over PCG. Accordingly, we predicted that irony comprehension would be …

Assessing Health And Academic Disparities In The Deep South: The Enduring Impact Of Segregation And Redlining In Georgia, Bridget Hamilton

Theses and Dissertations

Background: Within the American South, marginalized Black populations continue to suffer from health disparities. A key resource that could aid in the prevention of health disparities such as teen pregnancy is the school nurse. School nurses are well positioned to assist in the development of independent health maintenance among student populations. However, school nurses remain understaffed and underfunded throughout most of the United States, which limits their effectiveness. It is possible that within southern states there are inequities in how school resources are allocated that have ties to segregation and redlining practices that systemically marginalized Black populations throughout the 1900s. …

Database Development For Reliable Small Object Detection In Maritime Environments, Jacob Matthew Whisenant

Theses and Dissertations

Achieving high reliability in small object detection is critical for advancing maritime and littoral intelligent navigation operations. Computer vision provides an undetectable form of perception that can be easily integrated into existing camera systems, offering a low-profile yet powerful solution for navigation and situational awareness in water-based environments. While deep learning techniques have significantly advanced the field of computer vision, the detection of small objects remains a persistent challenge. Limited pixel representation, the scarcity of large-scale small object datasets, and the reduced detail and indistinct features of small objects complicate detection efforts, especially in complex environments. These factors collectively hinder …

Aggressive, Adaptive, And Underestimated: From Allergy To Arboviruses, The Rise Of The Lone Star Tick, Emily Ellen Owens Pickle

Theses and Dissertations

Once considered a nuisance with little medical importance, the lone star tick (Amblyomma americanum, Acari:Ixodidae) has emerged as a formidable vector driving a new era of public health threats across the United States of America. This dissertation traces the rise of the lone star tick from obscurity to infamy, exploring its expanding geographic range, unique immunologic impacts on humans, and role in the transmission of emerging tickborne viruses. Through a series of integrated studies, this work characterizes the epidemiology, immunology, and ecological context of tick-borne diseases in the southeastern U.S., with a particular focus on α-Gal syndrome (AGS), …

Self-Efficacy And Mathematical Identities In A Rural Georgia Middle School Classroom, Gavin Wilson

Theses and Dissertations

Even into adulthood, some people have a strong resentment of math. Their beliefs toward their mathematical abilities have created a fear of the subject, resulting in an avoidance of anything math-related. These thoughts and beliefs regarding math and mathematical abilities begin somewhere along an individual’s academic journey in a math classroom. This action research study, using a mixed-methods approach, attempted to uncover the origins and development of self-efficacy and mathematical identities in rural eighth-grade students. Furthermore, this study explored ways that a teacher can influence these sets of beliefs and examined the impact on academic performance. The framework used to …

Multi-Task Deep Learning Approach For Segmenting And Classifying Competitive Swimming Activities Using A Single Imu, Mark Shperkin

Theses and Dissertations

Competitive swimming performance analysis has traditionally relied on manual video review and multi-sensor systems, both of which are resource-intensive and impractical for everyday training use. This study investigates whether a single wrist-worn inertial measurement unit (IMU) can be used to automatically segment and classify swimming activities with high accuracy. We propose a multi-task deep learning pipeline based on the MTHARS (Multi-Task Human Activity Recognition and Segmentation) architecture introduced by Duan et al. to perform stroke classification, lap segmentation, stroke count estimation, and underwater kick count estimation. Data were collected from eleven collegiate-level swimmers wearing left-wrist-mounted IMUs, each performing five 100-yard …

Process-Grounded Knowledge-Infused Learning And Decision Making, Kaushik Roy

Theses and Dissertations

This dissertation introduces process-grounded knowledge-infused learning and reasoning, a novel framework for integrating domain-expertise-based process knowledge into the learning and reasoning mechanisms of artificial intelligence systems. This approach is designed to produce controlled, transparent, and reliable predictions in critical tasks such as medical diagnosis and recommendation. By focusing on the case study of mental illness diagnosis and recommendation—where decision-making must be grounded in processes such as disorder-specific diagnostic criteria—this work demonstrates methods to embed structured decision-making directly into the system architecture during both training and inference. This integration facilitates end-to-end training and reasoning while ensuring that outputs strictly adhere to …

Circannual And Kinship Cues Shape Reproduction And Epigenetic Aging In Peromyscus, Kim Tuyen Huynh Dam

Theses and Dissertations

Evolutionary success is defined by the ability of a species to adapt and survive across many generations. This success is not determined by any single attribute but rather includes the entrenched, complex system that could be associated with biological rhythms, reproductive strategies, and regulations of epigenetic and genetic components. By using closed Peromyscus colonies as a model and by coupling mathematical modeling, analyses of breeding records, epigenetic studies, and in vitro and in vivo experiments, this dissertation aims to discover how Peromyscus adjusts to the internal and external pressures to ensure their survival and preserve evolutionary fitness in controlled environments. …

How Do People Discern Authenticity From Emotional Expressions, Sewon Oh

Theses and Dissertations

Emotional authenticity is a crucial element in the development and progression of social relationships. However, limited research has comprehensively examined how emotional authenticity perception is shaped by different communication channels, visual attention, and individual differences. This thesis aimed to investigate the emotional authenticity perception from multiple perspectives, including the feasibility of authenticity manipulation, the influence of multimodal cues, and visual attention allocation in assessing authenticity from facial expressions. Findings demonstrated that authenticity could be successfully manipulated by both professional and non-professional actors. Participants differentiated both authenticity and emotion most accurately in audiovisual expressions. The audio channel played an important role …

Action Research To Explore The Use Of Augmented Reality To Support High School Students In Understanding And Creating Art Work In A Drawing Course, Alicia Joanne Cobler

Theses and Dissertations

High school students in Drawing 1 at a high school in South Carolina struggle to understand meaning or make personal connections to their own artwork. The purpose of this action research was to evaluate the implementation of immersive reality technology, specifically augmented reality (AR), in art for high school Drawing 1 students to help them understand meaning in art and create their own meaningful artwork. Creating personally meaningful symbolic works of art is one of the first Visual Art National Core Standards (National Core Visual Art Standards, 2014). Creating meaning in artwork allows students to understand society, provide an opportunity …

Reduced Order Model-Based Framework For Microsecond Model Updating Of Two-Dimensional Structural Systems Using The Local Eigenvalue Modification Procedure, Emmanuel Abiodun Ogunniyi

Theses and Dissertations

Real-time model updating is crucial for active structures and electronic assemblies subjected to high-rate dynamic events. High-rate dynamic events refer to events that occur at high speeds and with rapid changes in the forces and energy involved. These events can include explosions, impacts, and crashes. These systems are characterized by a high dynamic response with a high rate (< 100 ms), high amplitude (> 100 gn), highly nonlinear, meaning that the response is not proportional to the applied force, and involve complex interactions between multiple objects or materials. A system exposed to high-rate dynamic environments is frequently prone to rapid plastic deformation, involving violent and …

Sensing Others, Alissa Reed

Theses and Dissertations

In this project, I notice how we listen and respond to animals, both through marine bioacoustics studies and rhetorical theory, and consider how we might develop new ways of noticing and interacting with animals. I hold together rhetorical theory, marine bioacoustics studies, and my observations nest sitting sea turtles to see what kind of multispecies ethic emerges from messy encounters with nonhuman others – specifically, with sea turtles nesting on the beaches of the Outer Banks in the Summer of 2020. By confronting the unavoidable moments of indecision, and even possible violence, inherent to encounters with nonhumans others, even and …

Regression With Atypical Data: Measurement Error, Periodicity, And Non-Normality, Nicholas W. Woolsey

Theses and Dissertations

Regression is a ubiquitous and fundamental method that can be found in any ele- mentary statistics course. The simplicity and self evidently useful nature of linear regression beguiles a non-negligible portion of researchers into disrespecting assump- tions required by these models, namely in terms of accuracy of covariates and the underlying nature of the data. This disregard can at best lead to meaningless results and at worse cause significant misunderstandings in scientific pursuit.

In this dissertation we strive propose remedies to violations of specific assump- tions. Namely the assumptions that covariates are either observed without measure- ment error or they …

Exploring The Ancestry And Mutational Signatures Of Free-Breeding Dogs From Chernobyl And The Galápagos Islands, Gabriella Jean Spatola

Theses and Dissertations

Two free-breeding dog populations, one in Chernobyl, Ukraine, and the other on the Galápagos Islands, Ecuador, exist on opposite sides of the globe, yet both hold unique scientific potential to further our understanding of free-breeding dog population dynamics and evolutionary processes related to their environments. In the following studies, blood samples from more than 400 individual Chernobyl dogs were collected and their genomes were analyzed alongside over 1500 purebred and 200 global free-breeding dogs, describing genetic relationships and the extent of admixture with purebred migrants. Importantly, the sampled Chernobyl dogs had long-term exposures to ionizing radiation because of the 1986 …