Digital Commons Network^™

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 …

An Expertise-Based Approach To Training Decision-Making And Situational Awareness For Basketball Referees, Scott Warner Boatright

Dissertations

Expertise, rapid decision-making, and situational awareness are key components of high performance in many areas, including basketball officiating. Traditional methods of providing feedback on performance to basketball referees rely heavily on broadcast video and rule review, which does not adequately target the perceptual-cognitive skills associated with rapid and dynamic decision-making. The current study developed and evaluated a 360-degree video virtual reality (VR) Expertise-Based Training (XBT) program designed to accelerate expertise in intermediate-level basketball referees. Using think-aloud protocol, conducted with an expert basketball referee, expert judgments and rational were elicited and implemented as Expert-Model Feedback within the referee training program. Twelve …

From Structure To Support: An Integrative Model Of Leadership, Emotional Exhaustion, Role Clarity, And Daoist Moderation, Aradhna Mohan

Dissertations

Rooted in the understanding that effective leadership significantly influences organizational outcomes, this study examines process-oriented relationships between leader initiating structure and subordinate outcomes. Specifically, it extends the leadership literature by focusing on the cognitive resources underlying initiating structure behaviors, such as role-related clarity, that may enhance positive subordinate outcomes and mitigate negative ones. The study also incorporates an underexamined Eastern leadership style, Daoist Water-Like Leadership, and explores its associations with leader initiating structure and consideration. Guided by the Job Demands-Resources (JD-R) model, this research assesses the effects of initiating structure and Daoist leadership on emotional exhaustion, examines the relationship between …

Multiscale Architecture Governs Stability In Suction-Actuated Variable Stiffness Catheters, Sheridan Lee

McKelvey School of Engineering Graduate Student Theses & Dissertations

Endovascular procedures require devices with widely varying mechanical properties: flexibility for navigating tortuous vessels and rigidity for stable therapeutic delivery. Suction-actuated variable stiffness sheaths address this challenge by incorporating axial wire string arrays that mechanically couple under suction to increase flexural rigidity. However, prototype devices achieve stiffening ratios below theoretical predictions, suggesting that interlayer mechanics and string positioning play a critical role. This study investigates whether interweaving polytetrafluoroethylene (PTFE) tape within the string array enhances flexural rigidity modulation and curvature stability. Prototype devices with varying wrap configurations were fabricated and evaluated using flexural testing, curvature stability testing, and mathematical modeling. …

Computational Fluid Dynamics (Cfd)-Based Performance Prediction Of Transcatheter Microvascular Plugs In Single-Ventricle Patients, Zhuhuan Zou

McKelvey School of Engineering Graduate Student Theses & Dissertations

Transcatheter palliation using fenestrated Modified Micro Vascular Plugs (MVP) has emerged as a promising, minimally invasive alternative to surgical pulmonary artery banding (PAB) for high-risk neonates with single-ventricle physiology. However, clinical applications are currently limited by the difficulty in predicting the resulting pulmonary-to-systemic flow ratio () and the lack of a standardized approach for selecting the optimal fenestration size. This study utilizes patient-specific computational fluid dynamics (CFD) to quantitatively evaluate the impact of varying fenestration diameters on circulatory balance. Patient-specific 3D models of the pulmonary artery (PA) were reconstructed from imaging data for two clinical cases using SimVascular. Transient CFD …

The Reliance On Children In Atomic Bomb Literature, Chenyeng Vang

English Undergraduate Honors Theses

This paper explores the conventions of children’s literature, or what children embody in literature, and how it functions within atomic bomb literature in three ways: filling the gap of the unreliability of language, pushing past binaries through its queerness, and universalizing messages of peace to focus on a broad vision of a better future. Analysis involves atomic bomb literature written within the first five decades of the bombings, from 1945 to 1995. This research additionally seeks to answer the question: why children’s stories? This paper concludes that the dependence on children within atomic bomb literature hinges upon constructions of children …

Survey Of Medieval Literature On Maternal Mortality, Postpartum Care, And Birth Trauma In Relation To The Crisis In Arkansas, Paige Q. Thompson

English Undergraduate Honors Theses

When the general public thinks of childbirth in the Middle Ages, they think of death and danger. However, Arkansas has the highest maternal mortality rate in the entire United States, and many of those deaths are preventable. There have been previous analyses on different medieval texts as well as research into modern Arkansas, but none have made a direct connection between the two subjects. By analyzing medieval literature to understand cultural norms surrounding childbirth and postpartum care, patterns can be traced to modern Arkansas, where needless deaths are still prevalent. Ultimately, medieval texts demonstrate cultural attitudes surrounding blame toward women …

Addressing Low Vaccination Rates In Lewis County, New York: A Community-Based Participatory Research Study, Samantha Carter

Anthropology

Low rates of on-time human papillomavirus (HPV) vaccination continue to remain a significant public health concern, particularly in rural communities, one being Lewis County NY, which reports the lowest rate of vaccination in the state.  This study, through Upstate Medical University, uses a Community-Based Participatory Research (CBPR) model in efforts to examine barriers to HPV vaccination and identifying community-driven solutions formulated by committee members from within the community.  A steering committee composed of researchers and community members, who were also co-researchers, worked collaboratively to develop and distribute surveys to healthcare providers, dentists, and parents.  Responses revealed that while many parents …

Integrating Doulas Into The Medical Team, Alyssa Shaw

Anthropology

This thesis explores the potential integration of doulas into the obstetric medical team, defining birth as a cultural and social experience as well as a physiological process. Drawing on anthropological literature and historical accounts, I examine the shift from social, woman-centered childbirth practices to the medicalized model that occurs in modern American obstetrics. While this transformation has improved maternal and infant mortality rates, it has also caused a loss of continuous emotional and social support for laboring mothers, as well as a shift in autonomy from the birthing person to medical professionals. To investigate how doulas may help bridge this …

Microplastics And Generational Harm, Sara Najafi

Anthropology

Microplastics are persistent environmental contaminants increasingly detected in ecosystems and the human body, raising concerns about their effects on health and future generations. This paper examines the environmental pathways, biological mechanisms, and reproductive consequences of microplastic exposure, with particular attention to female reproductive health and fetal development. Current evidence indicates that microplastics can contribute to oxidative stress, inflammation, endocrine disruption, DNA damage, and cellular dysfunction, while also accumulating in reproductive tissues, follicular fluid, placental tissue, and breast milk. These exposures may impair ovarian function, fetal development, and long-term health outcomes. The paper also considers environmental inequalities that may increase exposure …

Bound To Status: A Comparative Study Of Public And Private College Libraries, Lilianna Fujita

Anthropology

This ethnographic study compares student culture and behavior at two upstate New York universities — Rensselaer Polytechnic Institute (RPI), a private STEM-focused institution, and the University at Albany (UAlbany), a public research university. Through two rounds of participant observation conducted in each school's library and three semi-structured student interviews, the author examines how institutional type, admissions selectivity, campus environment, and resource allocation shape student social dynamics, gender experiences, and overall well-being. The author argues that differences in student behavior reflect not only individual student dispositions but broader institutional decisions about who is admitted and what social infrastructure is supported.