Digital Commons Network^™

A Neuro-Symbolic Ai Approach To Scene Understanding In Autonomous Systems, Ruwan Tharanga Wickramarachchige Don

Theses and Dissertations

Effectively understanding scenes requires a unified representation of scene data and background knowledge. A neuro-symbolic AI approach to scene understanding leverages such a unified representation to enable advanced expression, inference, and labeling of scenes, improving the perception of autonomous systems.

Scene understanding remains a central challenge in the machine perception of autonomous systems. It requires the integration of multiple sources of information, background knowledge, and heterogeneous sensor data to perceive, interpret, and reason about both physical and semantic aspects of dynamic environments. Current approaches to scene understanding primarily rely on computer vision and deep learning models that operate directly on …

Play, Guide, Aspire: How Game Type And Trainer Involvement Shape Orientation Training Outcomes, Damla Sonmez

Theses and Dissertations

The use of gamification in orientation training has gained attention in organizational settings, yet questions remain regarding how different gamified training designs influence new employees’ emotional commitment, willingness to participate in future training, and long-term aspirations. Drawing on Stimulus–Organism–Response (SO-R) theory, Achievement Goal Theory, and Ecological Systems Theory, this dissertation investigates how game type (individual vs. team) and trainer involvement (active vs. passive) shape these outcomes.

Two experimental studies using vignette-based scenarios were conducted. Study 1 tested the direct effects of game type on emotional commitment and willingness to participate. Study 2 employed a 2 (game type) × 2 (trainer …

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. …

On A Conjecture On Covering Systems And An Irreducibility Question On Sparse 0,1-Polynomials, Alexandros Kalogirou

Theses and Dissertations

In 1952, H. Davenport posed the problem of determining a condition on the minimum modulus $m_0$ in a finite distinct covering system that would imply that the sum of the reciprocals of the moduli in the covering system is bounded away from 1. In 1973, P.~Erd\H os and J.~Selfridge indicated that they believed that $m_0$ > 4 would suffice. We provide a proof that this is the case in Chapter 2. Chapters 3 and 4 are dedicated to showing that $0,1$-polynomials of high degree and few terms are irreducible with high probability. Formally, let $k\in\mathbb{N}$ and $F(x)=1+\sum_{i=1}^kx^{n_i}$, where $ 0

A Spatial Scan Statistic For Group Testing Data, Vincent Onyame

Theses and Dissertations

Group testing involves pooling specimens from multiple individuals and offers an efficient means to surveil low-prevalence pathogens, but poses challenges for spatial cluster detection when only pooled results are observed. In this thesis, we develop a spatial scan statistic tailored to group-testing data with variable pool sizes. The statistic compares a null hypothesis of a homogeneous infection rate across all clusters to an alternative hypothesis that infection probabilities differ inside and outside a candidate cluster, with both models fitted by maximum likelihood estimation. We approximate the null distribution of the maximum likelihood ratio test via Monte Carlo simulation.

Through a …

Information Literacy In Charter Schools: An Institutional Ethnography, Katherine Klein

Theses and Dissertations

A strength of US charter schools is their opportunity to carve out an educational niche. Without the same regulation and district control present in traditional public schools, a charter school’s approach can seriously impact how the school addresses information literacy. In our current culture, we are saturated with media and technology, and students learn about navigating, evaluating, and using information responsibly and creatively at school. However, there is currently no published research on how charters do this critical work with their students, particularly with fewer libraries and librarians in the sector. This study uses institutional ethnography to map ruling relations …

The Influence Of Sex Education On Sexual Behaviors From Adolescence To Young Adulthood In South Carolina, Megan Elizabeth Austin

Theses and Dissertations

Sex education in South Carolina (SC) is known to be limited, which may influence adolescent sexual behaviors, leading to a higher likelihood of lower ages of sexual initiation, more sexual partners, and more experiences of sexual violence. These behaviors are associated with many negative health outcomes.

A political content analysis of bills, laws, and educational standards provides insight to changes in political discourse around sex education from when the Comprehensive Health Education Act (CHEA) was passed in 1988 until 2024. A variable created through this analysis is used along with SC Youth Risk Behavior Survey data to assess changes in …

I Belong Here And Am Thriving: Understanding Full-Time Graduate Student Well-Being And Belonging In An Msw Program, Lana Hart Elkins

Theses and Dissertations

Graduate-level social work students face high levels of stress that can impact their academic success and well-being. According to a national college health assessment, fulltime Master of Social Work (MSW) students at a southeastern university report significantly more academic, career-related, and financial stress than peers in other graduate programs. This study addressed the need to better understand full-time MSW student experiences and identify ways the program can mitigate stress, promote wellbeing, and foster a sense of belonging. Using a two-phase qualitative action research design, the study first analyzed responses to 12 open-ended questions from four student feedback surveys. These findings …

Improving Professional Learning Communities (Plcs) For Singletons, Stephanie Harbulak-Barron

Theses and Dissertations

Participation in professional learning is generally recognized as a required component of the teaching profession. One type of professional learning is professional learning communities (PLCs). However, there are challenges to implementing successful PLCs that result in relevant professional learning. One challenge is non-standard PLC groupings that contain singletons, especially when those PLC groups are primarily all singletons. This action research study examined educators’ and administrators’ expectations of and experiences with PLCs in a special education cooperative in the Midwest. The goal of the mixed methods research design was to gather enough information from participants to facilitate the creation of an …

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 …

Clusters In The Storm: Regional Economic Specialization Before And After Hurricane Harvey, Gwyneth King Waddington

Theses and Dissertations

In recent years, large-scale disaster events have dominated headlines. As the world faces an increasing number of such disasters, it is crucial to understand their impacts beyond immediate monetary losses. Disasters not only directly impact individuals and businesses but may also reshape the spatial patterns of the regional economy. Through a case study of Hurricane Harvey in Texas and Louisiana, this study examines how disaster events influence regional economic specialization patterns and contribute to uneven impacts across economic supersectors and geographies. Expanding on previous methodologies, this study incorporates temporal analysis tools to identify and investigate case studies of economic change. …

Microstructure And Defects Of Aa6061 In The Laser Powder Bed Fusion Additive Manufacturing, Sivaji Karna

Theses and Dissertations

AA6061 is a widely used aluminum alloy known for its excellent thermal conductivity, strength, and corrosion resistance. However, its application in Laser Powder Bed Fusion (LPBF) additive manufacturing is restricted by solidification cracking and porosity. This study examines defect formation, microstructural evolution, and precipitate behavior in AA6061 processed under various LPBF conditions, including room temperature and heated substrates (500°C), as well as pulsed wave laser configurations. Microstructural characterization was conducted using optical microscopy, scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS) and electron backscatter diffraction (EBSD), and transmission electron microscopy (TEM).

A maximum relative density of 99.17% was …

Hydrogen Permeation And Mechanical Behavior Of Hydrogen-Charged Cr-Coated And Oxidized Zr-Alloy Fuel Cladding, Daniel Cole Viands

Theses and Dissertations

Following the Fukushima nuclear accident in 2011, accident tolerant fuel (ATF) became a major research interest to enhance the safety of light water reactors. Because the current fleet of light water reactors and their associated fuel cycle infrastructure are well-established, developing ATF that does not significantly alter the current fuel form or change its supporting infrastructure is ideal. Cr-coated Zircaloy fuel cladding is therefore an excellent short-term solution to enhance accident tolerance. Thin layers of Cr-coating offer notable resistance to corrosion, high-temperature oxidation, physical wear, and hydrogen permeation. Cold spray (CS) and physical vapor deposition (PVD) are two well-established Cr-coating …

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 …

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 …

Integrating Ensemble Hydrologic Forecasts With Policy Optimization Models For Forecast-Informed Reservoir Operations (Firo), Alessandra Estefania Perez Salas

Theses and Dissertations

Effective reservoir management in hydrologically variable regions such as California’s Central Valley faces increasing pressure to balance flood control, water supply reliability, hydropower generation, and ecosystem health. Traditional rule-based operations, while operationally simple, often lack the adaptability required to respond to real-time hydrologic conditions and forecast uncertainty. This study presents an integration of a policy tree optimization model with ensemble streamflow forecasts to enhance Forecast-Informed Reservoir Operations (FIRO) at Folsom Reservoir. Building on historical data for inflow, storage, and release, an interpretable, threshold-based decision framework was developed and coupled with 14-day ensemble inflow forecasts from the California-Nevada River Forecast Center’s …

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, …

Awareness And Practice Methods For Musicians With Invisible Disabilities: Insights Gained From Playing The Flute With Ehlers-Danlos Syndrome, Jessica Pelltier

Theses and Dissertations

Ehlers-Danlos Syndrome (EDS) is a connective tissue disorder that presents significant physical and mental challenges for musicians, particularly in instrumental performance. These challenges may include chronic pain, joint instability, fatigue, anxiety, and depression. While such symptoms are associated with EDS, they are not exclusive to it and are also common among individuals with other invisible disabilities, such as fibromyalgia, postural orthostatic tachycardia syndrome (POTS), celiac disease, attention-deficit/hyperactivity disorder (ADHD), generalized anxiety disorder (GAD), and chronic fatigue syndrome (ME/CFS). This study explores the experiences of flutists with EDS and other invisible disabilities, focusing on the coping strategies and adaptations they use …

Design Of Supercritical Reactors To Understand Supercritical Water Oxidation Process And Hydrothermal Flames, Victor Dubceac

Theses and Dissertations

Supercritical water oxidation (SCWO) has been a topic of immense interest as an effective technique/tool for hazardous aqueous waste disposal. SCWO can be achieved by introducing an oxidizer (e.g., H2O2), or a hydrothermal flame as an internal source of both heat and oxidizer species in an aqueous environment at conditions above the critical point of water (P > 218 atm and T > 647 K). SCWO poses important environmental advantages for the treatment of harmful organic materials contained in waste streams. An SCWO reactor has the potential to be compact in design and therefore can be an ideal alternative to existing technology …

On Berge Pancyclicity For Uniform Hypergraphs, Teegan Cole Bailey

Theses and Dissertations

An $n$-vertex graph $G$ is \textit{hamiltonian} if it contains a length $n$ cycle as a subgraph. A stronger notion of hamiltoncity is pancyclicity. A graph $G$ is \textit{pancyclic} if $G$ contains a cycle of length $k$ for every $3\leq k \leq n$. Dirac's classical result on hamiltonicity states that if an $n$-vertex graph $G$ has minimum degree $\delta(G)\geq \frac{n}{2}$, then $G$ is hamiltonian. Under the same minimum degree condition as Dirac, J. A. Bondy showed that $G$ must also be pancyclic or the exceptional graph $K_{\frac{n}{2}, \frac{n}{2}}$. In 1971, Bondy proposed a so called meta-conjecture claiming that \textit{``almost any nontrivial …

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 …

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 …

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 …

Getting Poked (Lovingly) With A Stick: A Study Of Parental Involvement During First-Year Students’ College Transitions, Mary Ellis Glymph

Theses and Dissertations

In recent years, some higher education professionals have observed an increase in parental involvement in the lives of their students during their transition to college. While involved parents are sometimes referred to as “helicopter parents,” this new generation of parents often fits more into the label of “snowplow parents” or “lawnmower parents.” This sort of over-involvement impacts students’ personal and academic development far beyond high school graduation; during college, students can struggle to adjust to new levels of academic rigor, but they can also struggle with self-confidence and internal motivation due to their lack of experience with addressing their own …

Artificial Intelligence In Sport Management: A Systematic Review, Scale Development And Validation, And Implications, Kemardo Tyrell

Theses and Dissertations

The democratization of intelligent systems and their ubiquitous presence across the sport industry have created an urgent need to understand the current environment and how stakeholders perceive artificial intelligence (AI) as it reshapes decision-making, engagement, and organizational design. This three-manuscript dissertation conceptualizes artificial intelligence as a contested domain shaped by stakeholder meaning-making, consumer perception, and shifts in organizational practice. The first manuscript provides a systematic review of AI in sport management using the PRISMA framework, mapping how AI has been conceptualized as a methodological tool or contextual innovation across the sport industry segmentation (performance, production, and promotion). The second manuscript …

Approaches To Enhancing Multiple Hypothesis Testing Methods With Side-Information, Siyu Zheng

Theses and Dissertations

Lesion-symptom mapping (LSM) studies offer insight into the brain areas involved in various aspects of cognition. This is commonly done via behavioral testing in patients with a naturally occurring brain injury or lesions (e.g., strokes or brain tumors). This results in high-dimensional observational data where lesion status (present/absent) is non-uniformly distributed, with some voxels having lesions in very few (or no) subjects. In this situation, mass univariate hypothesis tests have severe power heterogeneity where many tests are known a priori to have little to no power. Additionally, high-dimensional observational data can be grouped according to brain anatomical structure.

In this …

The Impact Of Adverse Childhood Experiences And Living With Hiv On Cardiovascular Health And Cardiometabolic Disorders In An African Population: An Analysis Of The Indepth Community In Rural South Africa, Samuel Gavi

Theses and Dissertations

Background: Adverse Childhood Experiences (ACEs) have been shown to be associated with cardiometabolic disorders (CMDs) and poor CVH; however, in Africa, this has not been well studied. Cardiovascular health (CVH) is an important measure of risk for cardiovascular diseases (CVD) developed by the American Heart Association (AHA). With the increasing prevalence of CVD in Africa, CVH is a potential upstream prevention approach. Africa also has the highest prevalence of HIV, and an increasing prevalence of comorbidities associated with it. Various mechanisms have been investigated to explain the relationship between CVD and chronic HIV infection. This study explores the potential relationship …

Characterizing The Influence Of Racism-Related Stress And Pandemic-Related Changes In Social Connections On Cardiovascular Health: Study Protocol And Theoretical Framework, Jewel Scott Phd, Rn, Fnp-C, Victoria Money, Charles Ellis, Chanita Hughes-Halbert, Michelle A. Birkett, Gayenell Magwood

Faculty Publications

Background Cardiovascular-related morbidity and mortality among young adults are rising, and disparities between young Black and White women are immense. Health behaviors including physical activity and diet are essential for optimal cardiovascular health. Psychosocial factors, such as racism, perceived stress, and lack of social support, contribute to racial inequities in cardiovascular disease, which were further exacerbated by the COVID-19 pandemic. The proposed study aims to assess the influence of racism-related stress and other social determinants of health, including social connectedness, on quality of life and cardiovascular-related health behaviors. Methods This is a concurrent, triangulation, mixed-methods study combining survey data on …

Functional Time Transformation Model With Applications To Digital Health, Rahul Ghosal Ph.D., Marcos Matabuena, Sujit K. Ghosh

Faculty Publications

The advent of wearable and sensor technologies now leads to functional predictors which are intrinsically infinite dimensional. While the existing approaches for functional data and survival outcomes lean on the well-established Cox model, the proportional hazard (PH) assumption might not always be suitable in real-world applications. Motivated by physiological signals encountered in digital medicine, we develop a more general and flexible functional time-transformation model for estimating the conditional survival function with both functional and scalar covariates. A partially functional regression model is used to directly model the survival time on the covariates through an unknown monotone transformation and …

Exploring Cultural Capital And Literacy Practices In Chinese Immigrant Families: A Critical Ethnographic Case Study, Yuechen Sun

Theses and Dissertations

This dissertation explores the cultural capital and literacy practices of Chinese immigrant families residing in a Southeastern U.S. city. Using an ethnographic case study approach, the research examines two groups of Chinese immigrant parents: those with higher educational backgrounds and those who are restaurant owners. The study investigates how parents’ educational and cultural backgrounds influence their perceptions of and commitments to their children’s education, as well as their home literacy practices. It also explores their understanding of the model minority stereotype and their views on educational equity in the U.S. The findings reveal that both groups of parents value education …