Digital Commons Network^™

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 …

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 …

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

Theses and Dissertations

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

This dissertation discusses …

The Impact Of A Case-Based Learning (Cbl) Intervention In A Medical Spanish Course, Deonna Lavette Reliford

Theses and Dissertations

I implemented a different instructional approach for my medical Spanish course in Spring 2025. This case-based learning intervention utilized two main learning theories of socio-constructivism and situated learning theory in translation and interpreting studies (SLTIS) grounded in the learning design framework of case-based learning (CBL) to answer three research questions. Cases in both Spanish and English were provided for study participants to analyze and discuss. This research study used an embedded mixed-methods action research design (Efron & Ravid, 2020), with qualitative data embedded as the secondary source of data within a study that prioritized the primary quantitative data collected from …

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

Theses and Dissertations

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

Student Imaginaries: The Role Of Universities In Addressing The Polycrisis, Susana Maria Ruiz Sors

Theses and Dissertations

This thesis explores graduate student perceptions from the Public Affairs and Security Studies (PASS) program at the University of Texas Rio Grande Valley (UTRGV) regarding the role of universities in addressing interconnected environmental, economic, political, and social challenges, described here as a “polycrisis” (Lawrence et al., 2024). Using a mixed-methods approach, the study surveyed 42 students through Likert-scale questions and open-ended prompts. Results show students view economic inequality, political instability, and threats to democracy as the most pressing societal issues. While environmental issues were seen as important, they ranked lower in urgency. Students expect universities to address these challenges through …

The Housing Choice Voucher Program: An Analysis Of Its Demand And Supply (Challenges And Opportunities) And The Way Forward, Sethina Atsupe Dowuona-Owoo

Theses and Dissertations

In the United States, the Housing Choice Voucher Program, formerly known as Section 8, was created in 1974 to provide affordable housing for low-income families. However, recent research suggests that inaccessibility to homes for low-income groups remains high. This research aims to contribute to the existing literature by examining recent trends of the Housing Choice Voucher Program (HCVP) in providing housing affordability for low-income families.

The study used a sample of 30 U.S. states covering fifteen years (2009-2023). It relied on data from the Housing and Urban Development (HUD) department and other secondary sources. Using a mixed-methods approach, the study …

Investigation Of The Effect Of Material Density And Particle Size On Mixed Powder Spreading Behavior In Powder Bed Fusion Process, Alfred Kofi Apianing Achenie

Theses and Dissertations

Powder spreading marks a crucial step in the Laser powder bed fusion process, directly impacting the powder bed uniformity and paving the way for subsequent stages in the process. The laser powder bed fusion process depends heavily on the composition of the metallic powder feedstock. While most existing studies focus on pre-alloyed powders, limited work has explored the use of elemental powder blends as feedstock as used in in-situ alloying. Pre-alloyed powders are often costly, exhibit irregular morphologies and offer limited flexibility in material selection. This study uses Discrete Element Method (DEM) simulations to investigate how variations in material density …

Informing Cold Spray Via High Strain Rate Particle Impacts Captured Using Ultra-High-Speed Videography, Elias Timmons

Theses and Dissertations

The primary objective of this research is to provide insight into high strain rate deformation behavior of particles in cold spray-like impacts for the purposes of material vetting and optimization of spray parameters for deposition quality and efficiency. A light gas gun and ultra-high-speed videography techniques were engineered, built, and used for millimeter particle impact experiments and adapted to launch micron scale particles at controlled velocities and particle/substrate temperatures representative of cold spray conditions. Analytical techniques employed for understanding impact mechanics focused on characterization of impact behavior and presence of features related to cold spray particle bonding. This research demonstrates …

Transitioning From Microfluidic-Based To Bioprinted Decellularized Extracellular Matrix In Vitro Blood–Brain Barrier Models, Connor O. Mowen

Theses and Dissertations

The blood–brain barrier (BBB) regulates transport between the vasculature and central nervous system but limits therapeutic delivery. In vitro BBB models are essential for studying barrier function, disease mechanisms, and drug transport, yet traditional systems often lack biological relevance. This thesis aimed to improve model fidelity and scalability by refining a PDMS-based microfluidic fabrication protocol and developing a spinal cord-derived decellularized extracellular matrix (dECM) bioink for bioprinting applications. A multi-step protocol was optimized to decellularize bovine spinal cord tissue, followed by enzymatic digestion to generate a printable dECM solution. UV–Vis spectroscopy confirmed protein retention, and DNA quantification revealed residual nucleic …

The Future Is Inclusive, Victoria Mcclendon

Theses and Dissertations

Victoria McClendon THE FUTURE IS INCLUSIVE 2024-2025 Stephanie Lezotte, Ph.D. Master of Arts in Higher Education This research explores the role of Diversity, Equity, and Inclusion (DEI) programs in higher education, specifically focusing on the impact of inclusion through Rowan University’s Unified Sports program. DEI programs are designed to support historically underrepresented groups, including students of color, LGBTQ+ students, students with disabilities, and other marginalized communities. This study examines the importance of DEI in fostering inclusive educational environments and investigates the consequences of removing such programs. A qualitative case study approach is employed, involving group interviews with students and faculty …

When Words Fail: Why Ai-Driven Context Beats Word Error Rate For Safety-Critical Air Traffic Control, Muhammad Maaz

Theses and Dissertations

Accurate speech-to-text transcription is critical for Air Traffic Control (ATC) to en- sure safety and operational efficiency. However, existing Automatic Speech Recognition (ASR) systems struggle with domain-specific phraseology, high noise levels, and real-time constraints. This work explores domain adaptation strategies of OpenAI’s Whisper ASR model, applying Transfer Learning and Low-Rank Adaptation (LoRA) on ATC benchmark and a Federal Aviation Administration (FAA) corpus. Experimental results show that fine- tuning significantly reduces Word Error Rate (WER) from 55.2% to 6.8%, yet WER alone fails to capture safety-critical transcription errors. To address WER’s limitations, we introduce the Contextual Error Rate (CER), a novel …

Simulations Of Single Metallic Particle Impacts Onto Polymeric Substrates For Insights Into Cold Spray Adhesion At Composite Material Interfaces, Saidur Rahman Shoaib

Theses and Dissertations

Metallization of polymer-based composites finds applications in a variety of industries in which addressing challenges such as electrical discharge mitigation or surface erosion can be vital. Cold spray additive manufacturing is emerging as a cutting-edge technology for polymer/composite metallization, offering a transformative approach to achieving desired material enhancements. This study employs finite element analysis (FEA) to evaluate the adhesive “bonding” strength (i.e., extraction force under impulsive dynamic loading) between single 20-micron diameter spherical metal (copper) particles and polymer (polyetheretherketone) substrates under cold spray-relevant impact conditions. Analysis of FEA simulations centers on initial impact processes parameterized by particle impact velocity and …

Monitoring And Mitigation Of Per- And Polyfluoroalkyl Substances (Pfas) In Urban Stormwater Runoff, Mustafizur Rahaman

Theses and Dissertations

Per- and polyfluoroalkyl substances (PFAS) are emerging contaminants known for their persistence with widespread environmental and health concerns. Urban stormwater runoff could be a non-point pollution source that transports PFAS to receiving water bodies. This study analyzed types and concentrations of PFAS in stormwater runoff from Trenton and Glassboro, New Jersey, with samples collected from high- and low-traffic areas during precipitation events in February, June, July, and August 2024. Significantly higher concentrations of PFAS were identified in high-traffic areas than low-traffic areas (p< 0.05) in both cities for most sampling events, confirming the role of traffic in PFAS dispersal. To address PFAS contamination in stormwater runoff, this study evaluated the removal of six U.S. Environmental Protection Agency (USEPA)-regulated PFAS compounds from synthetic stormwater runoff using aluminum-based water treatment residuals (Al-WTRs, by-products of the drinking water treatment process). The findings demonstrated that Al-WTRs exhibited high sorption capacities and low desorption rates for PFAS, particularly for long-chain PFAS compounds such as perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), supporting their potential as an economical and effective sorbent for stormwater PFAS management. Furthermore, the durability and sustained performance of Al-WTRs indicated their feasibility for future field-scale applications.

From Differentiation To Disease: Cyclin C Directly Coordinates Transcription And Mitochondrial Dynamics, Alicia Campbell

Theses and Dissertations

Organelle crosstalk is essential for coordinating cellular responses to various external cues, including stress and differentiation. Two key organelles, the nucleus and mitochondria, engage in extensive crosstalk to manage responses to a range of environmental and developmental signals. Complex processes such as stem cell differentiation and neuronal development rely on organelle crosstalk. Both processes integrate changes in gene expression with cytosolic and organellar remodeling. However, it remains unclear how these two complex processes are coordinated to achieve the desired outcome. This project concentrates on cyclin C (CCNC), a component of the Mediator Kinase Module (MKM), and its role in directly …

Effects Of Stressor Exposure And Locus Coeruleus Opioid Signaling On Coping And Anxiety-Like Behavior In Rats, John Arthur Tkaczynski

Theses and Dissertations

Stress is a physiological state of altered neuroendocrine signaling and heightened indices of behavioral vigilance and arousal in response to threatening stimuli. This project aimed to investigate the adaptations to stress that occur in the noradrenergic locus coeruleus (LC) and how these changes affect stress coping behavior. We began by investigating how adolescent restraint and predator odor stress affects coping when presented with a secondary noxious stimulus in the defensive shock probe burying task one week following stressor exposure, finding that stressed male rats demonstrate a more active coping response and stressed female rats demonstrate a more passive coping response, …

Waterpod: Evaluating Learner Engagement And Conceptual Understanding Through Gamified Virtual Reality, Leeza Eimeria Duller

Theses and Dissertations

The water and wastewater industry faces a growing workforce crisis due to high retirement rates, limited public awareness, and underrepresentation of technical talent. Traditional outreach methods have struggled to engage students or convey the complexity of water systems. This study evaluates WaterPOD, an interactive virtual reality (VR) simulation designed to introduce users to wastewater treatment processes and careers through immersive learning. Grounded in Social Cognitive Career Theory (SCCT), Cognitive Load Theory (CLT), and Constructivist Learning Theory (ConLT), the study examined how VR influences conceptual understanding and career perceptions. A mixed-methods study with 138 college students measured SCCT constructs, CLT- and …

Compact Space-Folded Multi-Resonator Duct Silencer With Broadband Noise Reduction And Minimal Flow Disturbance, Joshua Lloyd

Theses and Dissertations

Control and reduction of unwanted noise is a significant concern in many residential, commercial, and industrial fields. Specifically, ducted noise control is of increasing importance due to the complex challenges of ventilation requirements imposed on the system. This research presents a compact, space-folded silencer which achieves broadband attenuation of noise in ducted applications. Making use of axial arrays of side- loaded resonators, this structure allows for unobstructed fluid-flow through its center, resulting in a static fluid pressure drop across the device of only 14.5 Pa. In addition, due to the silencer’s configurable nature, the geometry can be tuned to meet …

Design And Control Of A Versatile Modular Soft Robotic System With Integrated Resource Sharing And Self-Reconfiguration Capabilities, Joshua Knospler

Theses and Dissertations

Modular, self‑reconfigurable soft robots promise unprecedented versatility by combining the compliance of soft materials with the adaptability of modular architectures. This thesis presents an integrated system of pneumatic, bending-type soft actuator modules. Modules are compact and fully equipped with tunable magnetic and electromechanical connections for low‑power attachment and detachment and a novel power-air-communication (PAC) connector for seamless sharing of electricity, compressed air, and digital signals. This work examines two representative assemblies: ManusBot, a pinching gripper, and TendrilBot, a versatile linear configuration for various tasks. Their grasping performance, variable stiffness, and radial support capabilities are characterized. A magnetic interlock and an …

Integration Of Mechanism-Driven Computational Modeling And Public Data Resources For Chemical Toxicity Assessment, Elena Chung

Theses and Dissertations

Regulatory toxicology depends primarily on animal testing, which limits throughput, mechanistic interpretability, and applicability to human-relevant endpoints. This dissertation presents computational approaches that integrate publicly available bioactivity data with machine learning to support chemical safety evaluation. Oral carcinogenicity was modeled using curated chemicals from the US Environmental Protection Agency’s Integrated Risk Information System (IRIS) and activity data from over 1,900 PubChem assays. Quantitative structure-activity relationship (QSAR) models trained on statistically prioritized assays demonstrated strong predictive performance and were applied to rank the carcinogenic potential of more than 16,000 compounds. Hepatotoxicity was evaluated using a hybrid modeling approach that combined structural …

Development Of Biodegradable Mg-1zn-0.5sc Alloy & Surface Treatment Through Laser Shock Peening And Evaluation Of Microstructure & Property Correlation For Orthopedic Implants, Parameshwari R

Theses and Dissertations

Magnesium (Mg) and its alloys are of much interest as promising third-generation bio-materials for bone implant applications; however, challenges remain for the alloy's mechanical integrity and bio-corrosion behaviour. Therefore, appropriate alloying elements and surface-modification techniques are required to overcome these limitations. Zinc (Zn) and Scandium (Sc) elements were found to have good biocompatibility and biodegradability; hence, they were selected as suitable alloying elements for magnesium.

This research work aims to enhance the mechanical integrity and bio-corrosion resistance behaviour of a novel Mg-1wt% Zn-0.5wt% Sc cast alloy by laser shock peening surface treatment with multiple passes (LSP-2 Pass and LSP-3 Pass). …

Directivity And Sound Radiation Of Percussion Instruments And Harmonic Analysis Of The Alto Saxophone, Hanna Michelle Pavill

Theses and Dissertations

This thesis investigates how musical instruments radiate sound, with a focus on directional behavior under realistic performance conditions. High-resolution measurements using a rotating microphone array were used to study percussion and woodwind instruments, providing new insight into how design, excitation, and frequency content shape acoustic output. The first set of experiments analyzed the directivity of the bass drum, triangle, and open snare. Each instrument exhibited unique radiation patterns reflecting its structure and playing method. The bass drum showed dipole-like behavior at low frequencies, transitioning to omnidirectional spreading at mid frequencies, and increasingly irregular patterns at higher frequencies. The triangle, due …

Development Of Fiber Composite Joints To Improve Folding Of Deployable Arrays, Luke Q. Gardner

Theses and Dissertations

An origami-inspired deployable array, despite being commonly made from rigid materials, must be able to fold into its stowed configuration. This necessitates the employment of discontinuities between the panels of the array and the use of specialized joints to connect them. Compliant joints, with all their typical advantages, are useful in this application. Membrane hinges and lamina-emergent torsional (LET) arrays are two classes of compliant joints, or surrogate folds, which each feature unique benefits and drawbacks. Membrane hinges in principle are simple and flexible, providing a wide range of motion while experiencing little stress. However, perhaps their most robust variation, …

Unifying Explainability And Machine Learning: Towards Trustworthy And Plausible Explanations Without Post-Hoc Manipulations, Ian E. Nielsen

Theses and Dissertations

The deployment of machine learning (ML) in safety-critical domains is impeded by the black-box nature of deep learning models. Although these models excel at discerning complex patterns, their opacity undermines trust, limiting their use for high-stakes tasks. This thesis advances the field of eXplainable Artificial Intelligence (XAI) by introducing novel methods to evaluate and enhance model interpretability, ensuring explanations are both faithful (accurate to the model’s reasoning) and plausible (intelligible to human users). A key challenge in XAI is the unreliability of post-hoc explanation methods. To address this, we propose (1) quantitative evaluation metrics for assessing the faithfulness of local …

Contaminant Removal Of Printed 7xxx Aluminum Using The Additive Friction Stir Deposition Process, Jacob Jason Hansen

Theses and Dissertations

The development of contaminant-free additive friction stir deposition (AFSD) using 7xxx series aluminum alloys represents a significant advancement in solid-state additive manufacturing. The removal of graphite and other contaminants allows AFSD to more effectively move forward into the production space. This work demonstrates how contaminant-free depositions were made more feasible. This was accomplished via novel tool designs. These novel designs reduced process forces sufficiently that 7xxx aluminum alloys were able to be printed on commercial and research AFSD machines. Internal features such as draft angles and diffusers/chamfers help to significantly reduce actuator forces. This work also demonstrates how external tool …

Martingale Methods For Structural Change Detection And Feature Attribution In Dynamic Networks, Izhar Ali

Theses and Dissertations

Dynamic networks undergo structural changes when their generative process shifts at a change-point. We need to detect this change-point with minimal delay while identifying its underlying causes. This is an optimization problem of minimizing the expected detection delay while controlling the false alarm probability below a threshold---leading to three critical challenges: non-parametric detection without distributional assumptions, exact feature attribution, and early detection with rigorous false alarm control. We construct additive martingale statistics from multiple graph features using conformal prediction, providing false alarm guarantees via Ville's inequality. Our key theoretical contribution proves the Martingale-Shapley equivalence: each feature's martingale value equals its …

Egyptian Public Economic Policies Between The Supreme Constitutional Court And The State, Dina Sherif Abdelrahman

Theses and Dissertations

To fully understand the present, it is useful to trace the past. The relationship between the rule of law and economic development has been a significant topic in the literature. In the 1960s, it was believed that economic development required regulated markets in which the state played an active role. However, when it became evident that the state's involvement in the economy yielded few of the promised benefits, economic neoliberalism emerged. This involved the state withdrawing from the economy and allowing the market to take the lead. Still, the state must govern the institutional conditions necessary for the markets. These …

Unraveling The Relationship Between Sexual Shame And Father-Child Sex Communication, Hannah Mireya Brundage

Theses and Dissertations

This study sought to understand the relationship between father’s sexual shame and children’s sexual shame. Parents play a role in shaping their children’s behaviors and perceptions in regard to sexuality. Most of this research analyzed data from the viewpoint of the mother, missing the potentially unique perspective and influence of fathers. Using longitudinal survey data from 361 fathers-adolescent dyads, I proposed to study the relations between father sexual shame and child sexual shame, and the possible mediating role of father-child sex communication. I predicted that quality of sex communication, including controlling and open communication, would mediate father sexual shame and …

Enhancing Fault Tolerance In Tmr Soft Risc-V Fpga Socs Through Failure-Driven Mitigation Strategies, Andrew Elbert Wilson

Theses and Dissertations

Field-Programmable Gate Arrays (FPGAs) leveraging soft processors, particularly those implementing the open-standard RISC-V Instruction Set Architecture (ISA), are increasingly important for space missions due to their adaptability and reconfigurability. However, their susceptibility to radiation-induced Single Event Upsets (SEUs) presents significant reliability challenges, necessitating robust fault-tolerant strategies such as Triple Modular Redundancy (TMR). This dissertation evaluates the effectiveness of TMR-based mitigation techniques for Linux-capable soft RISC-V System-on-Chip (SoC) implementations deployed on SRAM-based FPGAs operating in high-radiation environments. Using a combination of deterministic fault injection and neutron radiation testing, this work identifies critical residual single-point failure modes that persist in TMR-protected designs. …

Applying Ceragenins In Translational Medicine: Activating Mesenchymal Stem Cells And Preventing Healthcare-Associated Infections, Aaron L. Zaugg

Theses and Dissertations

Healthcare-associated infections are a major global concern. Increased infections among vulnerable populations lead to millions of deaths, annually, complicated by the emergence of multi-drug resistant pathogens. These infections are often facilitated by medical devices serving as abiotic surfaces that facilitate the formation of biofilms. Notably, colonization of prostheses and other bone-associated medical devices can lead to corrective procedures, revisions and death. To address these issues, inspiration can be drawn from natural sources of bone health and defenses against infection. Cathelicidins are endogenous peptides involved in both bone maintenance and infection control. Ceragenins are small molecule mimics of cathelicidins with broad …