Digital Commons Network^™

Exploring Agricultural Pathways: An Analysis Of Arkansas Community Colleges, Natasha Hightower

Graduate Theses and Dissertations

As demand for a highly skilled agricultural workforce continues to grow, Arkansas must strengthen accessible and clearly defined academic and career pathways to prepare future agricultural professionals. Community colleges serve as a critical entry point into higher education, particularly for rural and first-generation students, and play a vital role in both workforce development and transfer preparation. However, information related to agricultural education offerings, transfer pathways, and faculty at Arkansas community colleges is often decentralized and difficult for students and stakeholders to locate. The purpose of this study was to examine agricultural education offerings at community colleges in Arkansas, specifically agricultural …

A Rare Case Of Gastric Ascariasis, Sharon Pan, Kevin Yu, Blaine A Mathison, Yan Gao, Marc Roger Couturier, Salem Muayad, Violeta Chávez, Ranya Selim

Faculty, Staff and Student Publications

Background: Ascariasis, caused by the parasitic roundworm Ascaris lumbricoides, is one of the most common helminthic infections globally. Spread by contaminated soil through the fecal-oral route, A. lumbricoides typically infects the small intestine and has rarely been reported to infect the stomach.

Case summary: We describe an unusual case of a male in his 30s with a history of neuroendocrine tumor (NET) who immigrated from Colombia and who underwent esophagogastroduodenoscopy (EGD) and colonoscopy for further evaluation of abdominal pain. He was incidentally found to have a female Ascaris worm in his stomach that was retrieved during the EGD.

Conclusion: …

May 2026 Bulldog Alumni & Friends News, Kari Jones, Garrett King

Bulldog Alumni & Friends News

May 8 SWOSU Distinguished Alumni Hall of Fame Induction Ceremony & Dinner

May 9 Spring Commencement

June 5-6 SWOSU Football Championship Weekend

July 30 SWOSU Near You: Eischen’s

July 27 - August 7 Online SWOSU Athletic Auction

August 7 SWOSU Athletic Hall of Fame Banquet

August 8 SWOSU Athletic Auction and Dinner

Assessing The Use Of Accelerometers For Measuring Static Balance Perturbations, Delaney Mcmanus

Anthropology

Falls among older adults are a leading cause of injury and loss of independence and have become an increasingly relevant public health issue as the elderly population continues to grow. Understanding the biomechanical factors that contribute to fall risk is essential in developing fall-prevention strategies and identifying individuals at risk. Force platforms are the gold-standard method for quantifying balance perturbations, but they are expensive and require dedicated lab space and support staff to operate. This research has three goals: (1) to test whether wearable accelerometers can provide similar discrimination of balance perturbations as a force plate, (2) to evaluate the …

Genomic Surveillance Of Guillain–Barré Syndrome-Associated Genes In Campylobacter Jejuni Across Human And Non-Human Reservoirs, Emma Doughty

Biological Sciences

Campylobacter jejuni is a leading cause of foodborne illness and a major trigger of Guillain–Barré Syndrome (GBS), an autoimmune neuropathy caused by molecular mimicry between bacterial lipooligosaccharides (LOS) and host nerve gangliosides. While prior genomic studies have focused primarily on human clinical isolates, the prevalence and distribution of GBS-associated genes in non-human reservoirs remain poorly characterized. This study used genomic datasets derived from analyses of human and non-human C. jejuni isolates to assess the distribution of GBS-associated genes, with a focus on the neuABC sialylation pathway. Results demonstrate that these genes are present in both host types, across multiple geographic …

Alternative Abl1 Isoform Expression In Oncogenic Translocations: Implications For Cancer Progression, Jessica Teague

Biological Sciences

Abstract (also on poster): Previous studies in our lab show that an alternate isoform of Bruton’s tyrosine kinase, BTK-C, is required for the survival of several epithelial-derived cancer cells. BTK-C is transcribed from an alternative promoter and includes a 34-amino-acid N- terminal extension with a palmitoylation sequence that alters its subcellular localization. Nine other human kinases have similar alternative N-termini (ANT), often producing palmitoylated or non-palmitoylated isoforms from different transcriptional start sites. Among these, ABL1 is a known oncogenic kinase and key drug target. Translocation mutations at the 5′ end of ABL1 are a major cause of adult leukemias. This …

Determinants Of Virtual Power Plant Enrollment: The Role Of Distributed Energy Resource Ownership Models, Emiliano Torlasco

Economics

The American electrical grid is one of the oldest, most complex, and most important systems in the country. For the first 100 years following its inception in 1883, the grid had primarily functioned as a one-way power provider, meaning that electrons flowed strictly from power plants to transmission lines to distribution lines and eventually to consumers. This system—often described as “unidirectional”—was built on the idea that electricity could not be stored in large quantities and that it therefore had to be produced as soon as it was demanded (Alliance for Innovation and Infrastructure, 2017). Although it was the primary method …

Donor And Recipient Microbiome Interactions Determine Functional Outcomes Of Fecal Microbiota Transplantation For Clostridioides Difficile Infection, Sophie A. Millard

All Dissertations

Clostridioides difficile is a major cause of healthcare-associated diarrhea. Infection typically occurs after antibiotic treatment disrupts the gut microbiome, allowing C. difficile to colonize and produce toxins leading to disease (CDI). Standard antibiotic treatments can resolve acute infection but frequently lead to recurrence, highlighting the need for alternative strategies that restore the gut ecosystem. Fecal microbiota transplantation (FMT), the transfer of stool from a healthy donor, has emerged as an effective therapy for recurrent C. difficile infection (rCDI). Understanding the mechanisms underlying the success of FMT for treatment of rCDI could lead to safer, more defined microbial mixtures.

This dissertation …

High Throughput Phenomics Pipeline For Pulse Crop Nutritional Breeding, Amod Udayanga Madurapperumage

All Dissertations

Dry pea (Pisum sativum L.), lentil (Lens culinaris Medik.), and chickpea (Cicer arietinum L.) are major pulse crops valued for their high nutritional composition and importance to global food systems. Pulses are rich in carbohydrates, protein, and essential minerals, making them ideal whole foods and critical contributors to food and nutrition security. Due to these advantages, pulse breeding programs are increasingly focusing on enhancing nutritional traits, such as protein quality, amino acid balance, and micronutrient density, through the process of biofortification. However, improvement of agronomic traits remains equally essential. Characteristics such as plant height, standability, stress tolerance, …

Investigation Of Low-Pressure Mercury Lamp System Configurations And Xenon Excimer Lamp System Development As Vacuum Ultraviolet Sources For Optimal Photolytic Degradation Of Poly-/Perfluoroalkyl Substances, Eman Zuhair Alhamdan

All Dissertations

PFAS are persistent synthetic chemicals, with unique properties that enable them to easily enter and accumulate in water sources. Their public health impacts have raised concern and highlighted the need for effective treatment. Numerous techniques for PFAS removal from water have been studied, few have proven the ability of breaking down PFAS rather than separating and concentrating it. Many of these methods are chain-length dependent, showing slower degradation rate of short-chain PFAS and requiring substantial amounts of energy, and chemical agents that may produce byproducts.

Among available PFAS destruction methods, direct photolysis by high-energy UV with wavelength below 200 nm …

Nonprofit Youth Sports Governance Structures As Contexts For Positive Youth Development: How Usa Swimming's Local Swimming Committee Boards Provide The "Big Three" Of Positive Youth Development Settings, Emily B. Swett

All Dissertations

This study examines positive youth development (PYD) within youth sports governance, specifically USA Swimming's Local Swimming Committee (LSC) boards of directors, a context largely overlooked in PYD research, which typically focuses on on-field experiences.

Using the "Big Three" PYD framework (positive youth-adult relationships, life skill-building opportunities, and youth leadership and contribution), the study employed an explanatory mixed methods design. A quantitative survey was distributed to LSC athlete and non-athlete board members, followed by semi-structured interviews.

Survey data from 27 athletes and 157 non-athletes revealed strong levels of all "Big Three" components across both groups. Statistical analyses found no significant differences …

Towards Dementia-Inclusive Digital Text-Based Health Information: A Multi-Method Investigation Of Cognitive And Affective Accessibility, Margi Engineer

All Dissertations

This dissertation examines the accessibility, readability, emotional tone, and trustworthiness of digital, text‑based dementia information and investigates how older adults with and without dementia cognitively and affectively engage with such content. It further explores the potential of generative AI to improve dementia information delivery through the development of a domain‑specific retrieval‑augmented generation (RAG) large language model (LLM) chatbot designed to deliver accessible, stigma‑free information. The dissertation comprises four studies using complementary quantitative and qualitative methods. Study I conducts a large‑scale content analysis of 300 medical articles, 35 websites, and 50 blogs, applying readability metrics, LIWC‑based linguistic and sentiment analysis, and …

Generalizable Adaptation For Vision-Language Models, Niloufar Alipour Talemi

All Dissertations

Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs) have recently emerged as powerful frameworks for learning joint representations across visual and textual modalities. These models enable a wide range of applications, including visual recognition, multimodal reasoning, and visual question answering. However, adapting large pre-trained VLMs to downstream tasks while preserving their strong generalization ability remains a significant challenge, particularly under domain shifts or limited supervision. This dissertation focuses on developing methods for generalizable adaptation of VLMs, aiming to improve robustness, efficiency, and applicability across diverse tasks and environments.

First, this work introduces novel prompt learning strategies for adapting CLIP-style …

Examining Mathematics Identity And Student Capital In The United States And Norway: Comparative Insights From First-Generation College Students In First-Year Mathematics Courses, Margaret Ann Bolick

All Dissertations

First‑generation college students (FGCSs)—students whose parents did not complete a bachelor’s degree—are underrepresented in international research on first‑year mathematics course retention and are often compared to their continuing‑generation peers in ways that reinforce deficit narratives and skew perceptions of FGCSs. This study provides a descriptive comparison between FGCSs’ mathematics identity and forms of capital across the cultural contexts of Norway and the United States through four interconnected papers that address the overarching research question: How do cultural and educational contexts in Norway and the United States influence how FGCSs conceptualize and express forms of capital and mathematics identity in first-year …

Learning Global Context For Sparse Activity Recognition In Lengthy Recordings With Limited Dataset Size, Zeyu Tang

All Dissertations

This dissertation describes methods to analyze lengthy recordings of data in order to detect sparsely occurring activities. The narrative below describes the progression of research that led to the development of these methods and their generalization into a unified framework. My research started with designing models for dietary monitoring, including detecting meals from day-long recordings and detecting intake gestures from meal-length recordings. Both tasks share some common characteristics: (a) the target event takes only a small portion of data recordings, and (b) there is global context within full-length data recordings that can help a model make better decisions. After finishing …

Experimental And Computational Investigation Of The Effects Of Neck Musculature During Head Impacts In American Football, Anthony P. Marino

All Dissertations

Anthropometric test devices (ATDs) are human surrogate models used to represent the human body response in the context of compliance and safety testing. These devices are used in multiple industries, including automotive and aerospace, and have recently been incorporated into impact testing for the evaluation of helmet performance in American football. The Hybrid III 50^th percentile male ATD head and neck assembly is the most commonly used surrogate for these tests, although it was developed for automotive frontal crash scenarios that induce an inertial force on the body, leading to head and neck motion primarily in the sagittal plane. …

Versatile Exoskeleton Control Paradigms For Agile Human Locomotion: Task-Agnostic And Stability-Augmented Assistance, Miao Yu

All Dissertations

Lower-limb exoskeletons have shown great potential for assisting human locomotion, but designing controllers that provide assistance across diverse locomotor tasks and under external perturbations remains a major challenge. Many existing controllers for steady-state walking rely on pre-defined reference trajectories, which constrain voluntary human motion and limit adaptability across tasks. Moreover, they usually assume stable walking, while their performance under unstable conditions remains largely unexplored. In addition, existing gait stability augmentation controllers are often reactive rather than proactive to unstable conditions. In this dissertation, we propose control frameworks that preserve voluntary human motion while addressing two major challenges: providing task-agnostic assistance …

Towards Generalizable Representation Learning Across Domains, Hossein Kashiani

All Dissertations

Despite remarkable progress in deep learning, a major challenge remains: machine learning models often struggle to generalize to unseen domains under distribution shift. In real-world settings, data often differ from training conditions due to changes in lighting, sensor type, image resolution, and style. These differences can significantly degrade performance, highlighting the need for representations that are both robust and generalizable. This thesis addresses this challenge by developing a set of frameworks for generalization across domains in anomaly detection, deepfake detection, and vision-language image recognition. For anomaly detection, this thesis introduces ROADS, a robust prompt-driven framework for multi-class unified anomaly detection. …

Credit Accessibility In Diverse Urban Communities And The Dynamics Of Their Lending Markets: The Case Of Minority Depository Institutions, Noara Razzak

All Dissertations

In my dissertation, I study credit access in diverse urban communities, the role of the financial institutions that serve them, such as Minority Depository Institutions (MDIs) and non-MDIs. The first chapter studies the effect of bank branch closures (both MDIs and non-MDIs) on credit access in these diverse urban communities. MDIs are US community banks that are owned and operated by minority populations, such as Black-owned, Asian-owned, Hispanic-owned banks or Native-owned banks. The second chapter studies the proximity of Black-owned banks to historically segregated urban neighborhoods. More specifically I study whether surviving Black-owned banks are more likely to be present …

Quantifying The Value Of Adaptability: Bridging Real Options Analysis And Adaptable Building Design, Miranda Grice

All Dissertations

As the demands of the built environment continually evolve, buildings are expected to meet changing occupancy needs, or otherwise they become obsolete. Despite positive research on the benefits of adaptable building design, there is a knowledge gap regarding the long-term economic benefits of these designs. Practical methods are needed to determine if premium costs associated with adaptable designs are justified by the economic benefits inherent in adaptability. Therefore, this dissertation provides a discussion on the application of the financial theory of options analysis to the design of adaptable buildings. Additionally, a model and accompanying tool are presented as a solution …

Decision Making For Large-Scale Problems Under Uncertainty And Conflict, Benjamin J. Hamlin

All Dissertations

Large-scale decision-making problems appear in many areas including long-range forecasting such as energy generation forecasting. Many such problems are subject to conflicting objectives and uncertain data, and can be modeled as linear optimization problems. We study novel theoretical results and algorithms for large-scale linear decision problems under conflict and uncertainty. First, we propose a parametric Benders decomposition algorithm for solving large-scale linear optimization problems with multiple objectives or deterministically uncertain objectives. Second, we extend the parametric Benders decomposition to a multi-stage setting, developing a parametric stochastic dual dynamic programming algorithm, which enables decision-making when conflicts and uncertainty have planning impacts …

Participatory Land Management In A Dynamic Coastal, Wilderness Landscape: Stakeholder Engagement, Public Land Disinvestment, And A Paradox At Cape Romain National Wildlife Refuge, Kelly Alvidrez

All Dissertations

Federal coastal protected areas in the United States are increasingly shaped by intersecting social, ecological, and institutional pressures, including climate change, amenity-driven population growth, rising visitation, and sustained public land disinvestment. Within this context, Participatory Land Management (PLM) has been promoted as a mechanism to enhance legitimacy, incorporate local knowledge, and foster shared stewardship. However, the implementation of PLM within U.S. federal land agencies remains under-theorized, particularly in ecologically dynamic landscapes that have designated wilderness. This dissertation examines PLM at Cape Romain National Wildlife Refuge, a federally managed coastal refuge embedded within a rapidly changing social-ecological system and constrained by …

Modernizing Plastics And Composites Manufacturing Using Hybrid Modeling Techniques, Luke Shannon

All Dissertations

Plastics and composites manufacturing encompasses a broad family of processes, including injection molding, resin transfer molding, compression molding, and extrusion, that together account for the vast majority of polymer and composite component production worldwide. These processes are inherently challenging due to the multi-physics nature of polymer processing, the vast possible combinations of resins, reinforcements, and additives, and the strong dependence of final part properties on process history. Among these processes, injection molding is one of the most widely deployed, producing high-volume components across automotive, medical, consumer electronics, and packaging industries. However, accurately monitoring and predicting process behavior in injection molding …

Optimal Allocation Of Flexible Servers In Healthcare Systems, Tong Zhang

All Dissertations

This dissertation investigates the optimization of worker allocation in healthcare systems, focusing on flexible staffing models and the strategic prioritization of healthcare tasks. This research explores the dynamics among pre-operative, operative, and post-operative care units under various cost and service-rate constraints, using a series of models that represent realistic healthcare scenarios within a comprehensive framework for improving patient flow and reducing waiting costs.

In Chapter 2, we model and analyze cross-trained nurse allocation policies within an inpatient surgical system. We model the surgical system as a tandem clearing queueing system and formulate Markov decision processes under different business rules governing …

Parameterized Polynomial Systems: Monodromy, Sparse Polynomials, And Solutions, Julianne Barnhart

All Dissertations

The lift of a loop in the base space of a branched cover to the cover induces a permutation of points in a fibre. The monodromy group of the branched cover is the permutation group generated by all such permutations. When loops are restricted to a particular subset of the base space, the corresponding permutation group induced by these loops is the restricted monodromy group. Monodromy groups encode structure and symmetries of many enumerative problems. We describe the relationship between the restricted monodromy group and the monodromy group of the original branched cover. Our main result is a local-to-global property: …

Galois Action And Arithmetic In Algebraic Number Fields, Jared Kettinger

All Dissertations

This dissertation explores the arithmetic of numerous algebraic objects living within an algebraic number field from submonoids of the integers up to localizations of the ring of integers. We begin with a study of factorization in proper orders using an element-theoretic approach. In Chapter 2, by defining a natural generalization of the Davenport constant, we are able to determine the elasticity of certain orders whose integral closure is a unique factorization domain. In Chapter 3, using ideal-theoretic analogues, we are able to significantly broaden the scope of our results and the literature on factorization in orders. In particular, we give …

Integrating Incentive Design And Spatial Prioritization For Climate-Smart Forestry Adoption In South Carolina, United States, Miah Maye Pormon

All Dissertations

Forests provide essential ecosystem services, including carbon sequestration, water regulation, timber production, and habitat provision. However, increasing development pressures and land-use changes threaten forest persistence and long-run ecosystem service provision. Climate-smart forestry (CSF) practices, such as improved forest management and extended rotation, offer opportunities to enhance carbon storage, forest resilience, and economic livelihoods. The effectiveness of these practices depends on forest owners’ participation and the strategic allocation of financial resources or incentives. This dissertation develops an integrated framework that combines behavioral economic analysis and mapping to improve the design of current incentive programs. The first chapter employs the Contingent Valuation …

Development Of A Mixing-Controlled Combustion Model For 0d Engine Modeling: Using High-Order Models To Guide The Formulation Of Reduced-Order Models, James Gohn

All Dissertations

Vehicles are becoming increasingly complex to comply with the increasingly stringent regulations placed on all market sectors while still maintaining performance requirements. This increased complexity leads to increases in the cost and time it takes to develop and produce these next generation vehicles. To meet demand therefore, it becomes necessary to evaluate numerous design iterations using computer models. There are multiple levels of models that may be necessary for different purposes or use cases. All levels of modeling for virtual prototyping, however, require a level of validation and predictive ability to be useful. To this end, the following thesis presents …

Progressive Digital Health Engagement And Genetic Testing Intention: Evidence From The Genetic And Rare Disease Evaluation (Garde) Health System Trial And The Health Information National Trends Survey (Hints7), Emma Coen

All Dissertations

Background Digital health technologies including patient portals, internet based health information seeking, and electronic communication platforms are central mechanisms for genomic risk communication and recruitment into genetic testing. Engagement with these tools occurs progressively rather than uniformly, and structural inequities may contribute to staged disengagement along digital health pathways. Identifying where disengagement occurs and whether it differs by demographic and contextual characteristics is critical for advancing equitable genomic implementation.

Objectives This dissertation evaluates progressive digital engagement and genetic testing intention across two complementary data sources. Aim 1 examines sequential engagement within a health system genomic outreach trial. Aim 2 evaluates …

X-Raying The Material Surrounding Active Supermassive Black Holes, Isaiah S. Cox

All Dissertations

It is important to understand the nature of the gas and dust immediately surrounding the supermassive black hole (SMBH) in active galactic nuclei (AGN), because this material feeds the accretion disk and couples the activities going on at the AGN scale to the host galaxy. However, there remain large uncertainties on basic properties about this material such as its location and distribution. This is primarily due to the difficulties in resolving spatial information on these scales at extragalactic distances.

AGN emit a tremendous amount of radiation all across the electromagnetic spectrum, including X-rays. The X-rays come from a very small …