Digital Commons Network^™

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 …

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 …

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 …

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 …

Development Of A Compartmental Metabolism Rate Model For Digestive Oligosaccharides Transformation To Glucose In The Human Proximal Small Intestine, Edesiri Albert Ukusajuya

All Theses

Excess postprandial glucose remains a significant metabolic concern, particularly for individuals with impaired glucose regulation. In the proximal small intestine (PSI), dietary oligosaccharides are enzymatically hydrolyzed to glucose, which is subsequently absorbed into the bloodstream. However, direct measurement of these coupled digestion-absorption processes in vivo is limited, making in silico mechanistic modeling a practical approach for analyzing system behavior under controlled conditions.

In this work, a time-dependent compartmental model was developed to describe oligosaccharide/starch hydrolysis and glucose absorption in the PSI. The intestine is represented as a series of continuous stirred-tank reactor (CSTR) segments, where each segment captured temporal concentration …

The Impact Of Traditional Machismo On Mental Health Outcomes: Depression And Suicide Risk Among Latino Immigrant And Non-Immigrant Men, Yesenia A, Romero

Electronic Theses and Dissertations

Traditional masculine norms have long been recognized as influential factors in men’s psychological well-being. Within Latino cultures, the construct of machismo represents a culturally specific form of masculinity characterized by ideals of masculinity and characterized by ideals of strength, dominance, and emotional restraint. While these norms may promote resilience and family responsibilities, rigid adherence to traditional machismo has also been associated with emotional suppression, reduced help-seeking behaviors, and increased psychological distress. The present study conducted a meta-analysis to examine the relationship between traditional machismo and mental health outcomes among Latino men, with particular attention to depressive symptoms as well as …

Reading The Wisdom Of Psalm 37 Through The Lens Of Metaphor And Lament, Hannah N. Johanson

Electronic Theses and Dissertations

This thesis proposes that reading Ps 37 through the lens of both metaphor and lament can reshape the way the reader understands the reality of evil, fostering hope and agency. While Ps 37 is often classified as a wisdom psalm, this thesis diverges from the interpretation that this psalm is a list of proverbs. Instead, this thesis attempts to show that Ps 37 forms a metaphorical landscape where evil withers, vanishes, and is cut off while goodness thrives and is secured forever. This thesis also places this psalm in dialogue with two poems that engage Ps 37 from a post-Shoah …

Navigating The Shift: Supporting Health Sciences Faculty Transitioning From Industry To Asynchronous Online Education, Joshua D. Snyder

Electronic Theses and Dissertations

This qualitative exploratory study examined how new online instructors in the health sciences division of a North Texas community college experienced institutional onboarding and professional development as they transitioned from industry roles into asynchronous online teaching. As community colleges expand online instruction to meet the needs of nontraditional learners, many health sciences faculty enter academic roles with strong clinical expertise but limited preparation in online pedagogy. Guided by the community of inquiry framework and self-efficacy theory, this study explored instructors’ perceptions of their preparedness for asynchronous teaching; the instructional challenges they encountered, particularly related to student engagement; and the types …

Redeveloping Mississippi: A Case Study On Brownfields In Central & Southern Mississippi, Sahrah R. Yeroozedek

Master's Theses

Brownfields, or properties that are or possibly are contaminated with dangerous materials, represent a common obstacle for communities in Mississippi. The real or potential presence of contaminants at these sites often deters investors due to costly cleanup requirements (EPA, n.d. -b). The Environmental Protection Agency (EPA), through its Brownfield Revitalization Program, implemented guidelines for covering the costs and labor associated with the remediation of these properties. The EPA is not, however, responsible for redevelopment that supports long-term environmental and economic sustainability. Although the EPA maintains inventories of all Brownfields, there is also no comprehensive database of Brownfields and their current …

The Life-Changing Magic Of Tidying Up Alma, Kristen Fredericksen

Publications and Research

Is your Alma environment a cluttered attic of outdated records, lingering purchase orders, and expired user accounts? At CUNY, large-scale cleanup is essential for improving discovery, ensuring reliable reporting, and keeping daily workflows running smoothly across multiple Institution Zones and a shared Network Zone. This session shares the central office's practical approaches to identifying and cleaning up bibliographic, holdings, and item records; purchase order lines; electronic portfolios; patron requests; calendars; and user accounts. Drawing on real cleanup projects, we'll explain how we used Alma's advanced searches, jobs, normalization rules, Analytics reports, APIs, and external tools like Excel and MarcEdit to …

Vaccines, Religious Liberty, And The Gvr As Doctrinal Signal, Zalman Rothschild

Articles

This Essay proceeds in four Parts. Part I traces the doctrinal baseline, showing that vaccines have long functioned as the limit case for religious liberty. Part II briefly describes the doctrinal changes of the COVID-19 era — the Supreme Court’s expansion of religious equality doctrine, and its emergency-docket denials that left vaccine mandates formally unresolved — before explaining why the GVR in Miller signals a different move: the extension of the religious liberty framework to vaccine mandates, bypassing the comparability analysis that had allowed most courts to sustain them under the equality model. Part III turns to Miller itself and …

Joint Bank Accounts: Who Needs Them?, Reid K. Weisbord, Stewart E. Sterk

Articles

Joint bank accounts, once known as a “poor man’s will,” emerged more than a century ago as a probate avoidance device. This Article contends that joint accounts no longer serve a useful estate planning function, and they pose an unacceptably high risk to banking consumers because the legal framework governing lifetime ownership rights is deeply flawed and underdeveloped. Courts typically apply one of two prevailing models for allocating lifetime rights: (1) the traditional joint tenancy approach, which presumes equal ownership of account funds by each party; and (2) the Uniform Probate Code’s approach, which presumes ownership in proportion to each …

Unified Deep Learning Techniques For Spatial Detection And Temporal Forecasting Across Visual Domains, John Olawale Olamofe

All Dissertations

This dissertation proposed a unified deep learning framework for spatial detection and temporal forecasting across visual domains, designed to address limited supervision, class imbalance, and scale variability. The framework was structured around four complementary principles: Domain-Aware Input Rebalancing, Representation-Centric Learning, Diversity-Driven Robustness, and Transfer Across Scale and Modality, which together enabled robust visual representation learning across heterogeneous data sources.

Domain-Aware Input Rebalancing mitigates non-uniform and sparse data distributions by actively reshaping inputs before learning via class-aware augmentation, sampling, resolution manipulation, and super-resolution. This principle underpins object detection in overhead satellite imagery (xView), dense urban aerial scenes (CADOT), temporally sparse NDVI …

Adoption And The Illusion Of Choice After Dobbs V. Jackson Women’S Health, Solangel Maldonado

Cardozo Law Review

Thalia, a twenty-eight-year-old mother of two, has struggled with a substance use disorder for several years. Her children, ages five and seven, are in foster care. Thalia was homeless when she learned that she was fourteen weeks pregnant. She wanted to have an abortion, but her state banned abortions after the Supreme Court’s decision in Dobbs v. Jackson Women’s Health Organization. The closest abortion care provider in a neighboring state was 400 miles away, and a medical (non-surgical) abortion was no longer an option.

Unable to access abortion care, Thalia was forced to carry the pregnancy to term. Her …

An Open-Label, Clinical Feasibility Study Of The Efficacy Of Remdesivir For Long-Covid, Helen Neilens, Victoria Allgar, Kayle-Anne Sands, Jade Chynoweth, Amber Lord, Paigan J Aspinall, Helen Hambly, Anton Barnett, Lindsay Skipper, Tom Bewick, Ian Maidment, Hairil Abdul Razak, Ruth Ashton, David Strain, Karen Knapp, Mark A Faghy

Peninsula Medical School

BACKGROUND: Long COVID (LC) affects around two million people in the UK and over 65 million people globally. Antiviral medications have shown positive effects in reducing the risk of progression to severe disease in high-risk patients during an acute SARS-CoV-2 infection and have improved outcomes in those living with LC. Research testing the feasibility and efficacy of antiviral medications is ongoing, and clinical trials should determine the use of Remdesivir and its impact on LC symptoms, patient-reported outcomes, quality of life and functional status.

METHODS: Seventy-two patients ≥ 18 years of age who have a confirmed LC diagnosis will be …