On Variations Of Isolation In Graphs, Geoffrey Boyer

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In 2015, Caro and Hansberg introduced a wonderful and natural generalization of the well-studied parameter of domination in graphs. For a graph $G$ and a family of graphs $\FF$, they define $S$ to be an $\FF$-isolating set if $G-N[S]$ contains no member of $\FF$ as a subgraph. The case where $\FF=\{K_1\}$ coincides with domination. The case where $\FF=\{K_2\}$ is now simply referred to as an isolating set. We strengthen known results about the isolation number of a graph, and explore variations of the parameter including the independent and total versions.

In particular for connected graphs of order $n$, a bound …

Navigating Safety: A Mixed-Methods Examination Of Supportive Workplace Practices In Maritime Contexts, Rebecca N. Pool

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Maritime Sailors operate in high-demand and high-risk environments that require sustained adherence to strict safety standards. Using the Conservation of Resources theory (COR), this dissertation examines how supportive workplace practices impact job stress and foster increased safety compliance among U.S. Navy personnel. Using a mixed-methods design, two studies were conducted with data from the Afloat Safety Climate Assessment Survey (ASCAS). Study 1 analyzed quantitative survey responses from active-duty Sailors (N = 15,517) nested in 1,033 departments nested within 122 ships to test a multilevel moderated mediation model linking social support, job stress, psychological safety, and safety compliance. Results indicated …

Metabolic Dysfunction Caused By Dietary Oxylipins And The Environmental Toxicant Pfos, Jazmine Alexis Eccles-Miller

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Disruption of fat metabolism is a hallmark of metabolic disease. A liver enzyme, Cytochrome P450 2B6 (CYP2B6) is an anti-obesity enzyme that produced several omega-3 and omega-6 fatty acid metabolites that could contribute to metabolic diseases such as fatty liver disease. Two of these metabolites, 9-HODE and 9-HOTrE, may be associated with fatty liver. Mice were exposed to 9-HODE and 9-HOTrE to investigate whether they contribute to fatty liver disease under fasting conditions. A transgenic mice model expressing the human enzyme CYP2B6 was also fasted to determine if CYP2B6 leads to increased fatty liver under fasting conditions compared to a …

A Mixed Methods Study Of The Weather And Climate Science Curriculum Pilot In South Carolina K-12 Schools, 4-H, And Agricultural Education Programs, Emily B. Hood

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Weather and climate science topics in K-12 education are more important now than ever due to extreme weather and climate events happening worldwide. Most U.S. science teachers included climate science in their courses, but they may not have a sufficient background in the topic which can hinder their efforts, or there is no explicit curriculum for the teacher to utilize. Research indicates that there is a need for innovation in the curriculum to help prepare children to become the next generation of leaders and address complex problems, such as issues related to weather and climate science. There are a few …

Exploring Halogen Bonding Interactions In Cocrystals And Deep Eutectic Solvents, Madhushi Bandara

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Halogen bonding is a noncovalent intermolecular interaction analogous to hydrogen bonding that occurs between an electrophile and a nucleophile. This is often observed in compounds containing heavy halogens such as iodine and bromine. When these halogens are covalently bonded to another atom or molecule, preferably to an electron-withdrawing moiety, an electrophilic region called a sigma hole is created on the halogen atom on the extension of the covalent bond.

The first study of this dissertation presents a comprehensive characterization of eight newly synthesized triiodide salts using single-crystal X-ray diffraction, powder X-ray diffraction, thermal analysis (DSC and TGA), and Raman spectroscopy. …

Multi-Modal Data-Efficient Learning For 3d Machine Vision, Zhimin Chen

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The rapid progress of 3D computer vision has enabled a wide range of applications in autonomous driving, robotics, and augmented reality. Despite this growth, training robust 3D perception models remains challenging due to limited labeled data, the complexity of integrating multiple modalities, and the inherently imbalanced and long-tailed nature of 3D datasets. This dissertation addresses these challenges by proposing data-efficient, multi-modal learning frameworks that improve the accuracy, generalization, and scalability of 3D scene understanding.

In the semi-supervised setting, this work presents novel approaches that combine limited annotations with large amounts of unlabeled data to enhance 3D object classification and retrieval. …

Synthesis And Characterization Of Chemically Recyclable Polypropylene-Based Covalent Adaptable Networks, Andrii Tiiara

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Polyolefins (POs) are inexpensive engineering materials with excellent physical and mechanical properties, accounting for nearly 60% of all thermoplastics. However, large-scale recycling remains limited, with only ~15% undergoing mechanical recovery. This dissertation addresses this challenge by fragmenting and functionalizing polypropylene (PP) chains to generate macromonomers and employing them, along with industrial reactive PP macromonomers, to synthesize, depolymerize, and repolymerize chemically recyclable polypropylene-based polyolefins (CR-POs). These CR-POs incorporate ester linkages that form covalent adaptable networks (CANs), maintaining a gel fraction of ~70% while remaining melt-reprocessable via extrusion and compression molding.

First, the fragmentation of PP is investigated by microwave irradiation. Microwave …

First Principles Calculation Of Electron-Phonon Coupling In Nonequilibrium Quantum Materials, Chendi Xie

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This dissertation combines first-principles computation and light-induced nonequilibrium analysis to understand and control electron–phonon coupling (EPC) and emergent many-body phenomena in quantum materials, in both equilibrium and nonequilibrium states.

Chapters 1 and 2 build the theoretical and computational foundation, beginning with electron and phonon self-energies, linewidths, and perturbation theory for EPC, followed by density functional theory (DFT) and density functional perturbation theory (DFPT), which serve as the first-principles workhorses used throughout. Chapter 3 reviews Bardeen-Cooper-Schrieffer (BCS) and Migdal-Eliashberg theory, including the BCS gap - transition temperature (T_c) relation and the strong-coupling generalization, and delineates the practical validity bound …

Interfaces To Enhance Performance In Human-Ai Teams Conducting Safety-Critical Military Operations: A Route Reconnaissance Use Case, Sarvesh Sawant

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Military teams frequently operate in hazardous and dynamic environments where they must recognize threats, act swiftly, and maintain awareness of their surroundings. To assist soldiers in identifying threats, analyzing data, and creating safer routes, Artificial Intelligence (AI) systems are being integrated into these teams. But only when humans comprehend what AI is doing, why it is doing it, and how to collaborate with it can AI be helpful in these high-stakes missions. To enhance human-AI collaboration during military route reconnaissance missions, this dissertation explores ways to improve human-AI communication. In a route reconnaissance mission, teams of soldiers must navigate through …

School Discipline Bylaws In Egypt: An Analysis Of The Framing Of Children’S Rights In Education (2014–2024), Noha Ekram Hassan

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This study investigates how Egypt’s School Discipline Bylaws (SDB), issued between 2014 and 2024, construct the language of discipline, children’s rights, and school governance. Using a Corpus-Assisted Critical Discourse Analysis (CADA) combined with interpretive Critical Discourse Analysis (CDA), the research identifies child-rights terminology within the five Bylaw versions, examines its relationship to the principles of the Convention on the Rights of the Child (CRC), and traces how these linguistic patterns change over time. The analysis also explores the discursive framing of discipline, sanctions, and agency, alongside a rubric-based evaluation of the SDB’s alignment with CRC principles of protection, participation, and …

The Influence Of Using Bibliotherapy And Cinematherapy Interventions On The Social-Emotional Competencies Of Middle School Students Identified As Gifted, Debra P. Wallace

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ABSTRACT

Adolescents encounter many stressors in their lives and need resources to help them navigate their challenges. Access to books and movies may help gifted middle school students find ways to cope with various stressors characteristic of gifted students. Bibliotherapy and cinematherapy interventions effectively offer gifted students emotional support for their mental, social, and academic struggles, since gifted students tend to avoid asking for help. In a rural southeastern town, a 2-month improvement science study included a Plan-Do-Study-Act cycle with gifted eighth graders. From December 2024 to January 2025, gifted students participated in an intervention program using bibliotherapy and cinematherapy …

Adoption Of The 4-H Thriving Model Of Positive Youth Development:A Case-Centered Examination Of 4-H Agents, Patricia Whitener

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ABSTRACT

Youth development professionals working in non-formal educational settings face the persistent challenge of translating evidence-based frameworks into effective practice. This explanatory sequential mixed-methods study examines how South Carolina 4-H agent/educators perceive and adopt the 4-H Thriving Model following mandatory statewide training. The study investigates the roles of professional identity, change readiness, and organizational factors in shaping innovation adoption decisions among Extension professionals who work with considerable autonomy within diverse community contexts.

The 4-H Thriving Model represents a comprehensive theory of change that connects program practices to the developmental processes that influence youth outcomes (Arnold and Gagnon, 2019). The model …

Enhancing Teacher Planning Practices To Improve Teacher Self-Efficacy Through Professional Learning Communities, Philip L. Price

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This improvement science dissertation investigated the impact of implementing Professional Learning Communities (PLC) on teacher self-efficacy at Parkway Elementary, a Title I school serving a diverse student population with historically lower academic performance. The study addressed the problem of low teacher self-efficacy, a critical factor influencing Tier 1 instructional quality and student outcomes. Utilizing the Plan-Do-Study-Act cycle, this research tested the theory that adopting a four-question framework within weekly collaborative grade-level meetings would measurably increase teacher self-efficacy. Seven teachers participated in the research, with data collected through the Teacher Sense of Efficacy Scale, semi-structured interviews, and PLC observations. Quantitative findings …

Math For The Real World: Implementing A Standards-Based Math Curriculum With A Focus On Formative Assessment, Rachael Smilowitz

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This study investigated the relationship between the Ongoing Assessment Project (OGAP) professional development and the fidelity of implementation of the Illustrative Math Middle School curriculum in Roseland County School District. The district adopted Illustrative Math in 2016; however, many teachers either implemented it inconsistently or used only select components. While prior research has demonstrated that OGAP training can improve student outcomes on standardized assessments in large urban districts such as Philadelphia, little is known about its impact on teachers’ use of high-quality curricula such as Illustrative Math.

The study addressed three guiding questions: (1) How does participation in OGAP professional …

Exploring Glycosomes As Therapeutic Targets For Trypanosoma Brucei, Sabrina Sutton Pizarro

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Trypanosoma brucei is a protozoan parasite which causes human African trypanosomiasis and the livestock wasting disease, nagana. These parasites have highly specialized peroxisomes, called glycosomes, which house a variety of essential metabolic pathways, including glycolysis. Glycolysis is the sole means of energy production in the infective life stage of T. brucei making glycosomes and the glycolytic pathway promising targets for therapeutic strategies. In this work, we have studied the glycosome as a therapeutic target from multiple perspectives. The first portion of this work addresses drug trafficking. The efficacy of small-molecule inhibitors of glycosomal enzymes is restricted by the rate of …

Purifying Circular Rna Therapeutics, Karen Guillen-Cuevas

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Circular RNA (circRNA) has emerged as a promising therapeutic modality due to its enhanced stability and resistance to exonuclease degradation compared with linear mRNA. However, its stability and functionality depend strongly on achieving high purity, and current methods such as size-exclusion chromatography suffer from peak overlap, low yields, and poor scalability. This dissertation addresses these limitations by developing ultrafiltration-based strategies to purify circRNA directly from in vitro transcription (IVT) and self-splicing (circularization) reactions. First, the feasibility of ultrafiltration was demonstrated using polyethersulfone membranes, where sieving coefficients and critical flux values of circRNA, precursor RNA, and nicked RNA were measured to …

Examining The Roles Of Embodiment And Theory Of Mind In Shaping User Perceptions Of Llm-Driven Conversational Agents, Elizabeth A. Schlesener

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Large Language Models (LLMs) have advanced conversational agents, enabling natural, human-like interactions in domains such as education, programming, and workplace collaboration. Yet, user distrust persists over privacy, accuracy, and bias. As developers work to mitigate these issues and human-AI collaboration expands, reinforcing trust in LLM-driven systems is essential. To address this problem, this dissertation explores the role of anthropomorphic form in LLM-driven conversational agents and its impact on user perception.

According to the familiarity thesis, humans attribute human-like characteristics to nonhuman entities — a process known as anthropomorphism — to better comprehend unfamiliar phenomena, based on the assumption that they …

The Life Significance Of Summer Outdoor Program Employment During Emerging Adulthood, Austin M. Souto

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Seasonal employment in outdoor programs—encompassing camps, guiding services, and similar organizations—plays a vital role in delivering structured outdoor experiences, yet little research has explored its enduring effects on staff over the course of their lives. This dissertation examined the long-term significance and influence of seasonal outdoor work during emerging adulthood. Guided by Significant Life Experience and Life Course Theory, an exploratory sequential mixed-methods design was used. In the qualitative phase, interviews revealed that seasonal work influenced life trajectories by contributing to identity formation, career discovery, ways of relating to others, and the navigation of trade-offs. Seven mechanisms—opportunities for growth, connection …

End-To-End Direct Current For Standalone Power Network, Eyad Ahmad Aldarsi

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The primary issue that faces the humanity is climate change and because of that greenhouse gases (GHGs) emissions are rising. The consequences of this issue have emphasized the necessity for replacing the dominant method of electricity generation, which mostly utilizes fossil fuels, to be centered on access to all, green, low-cost, and renewable sources of energy. Currently, photovoltaics (PV) and wind turbines are the two technologies so far that can convert the source of renewable energy, which is produced by sun irradiance and wind respectively, into large-scale electric power that can be distributed into the electricity grid. The work in …

Robust Data-Driven Predictive Control Of Nonlinear Systems Under Modeling Uncertainty, Pegah Ghafghanbari

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Data-driven predictive control enables designing controllers directly from data, making it attractive for complex systems with hard-to-model dynamics. However, practical deployment is challenged by modeling inaccuracies and changing operating conditions. This dissertation develops predictive control frameworks that incorporate robustness and adaptability to address these issues in uncertain nonlinear systems.

The first part employs the Linear Parameter-Varying (LPV) framework, which represents nonlinear dynamics through simple linear form representation. To characterize the plant-model-mismatch often caused by limited data and numerical calculations, Bayesian Neural Networks (BNNs) are used, and their uncertainty estimates are integrated into two robust control approaches. The first is a …

Ai In Consideration Of Her: Accounting For Gendered Workplace Dynamics In The Design And Evaluation Of Human-Centered Ai Integration In Everyday Workplaces, Kelsea S. Schulenberg

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Rapid advancements in the technical capabilities and availability of generative Artificial Intelligence (AI) systems, such as OpenAI's ChatGPT, have drawn widespread attention to the opportunities and challenges associated with AI integration into everyday workplaces (i.e., office-type work). Following calls for organizations to consider the ethical and workplace-specific impacts of generative AI's use before integrating it into the workplace, this dissertation addresses three critical gaps in Human-Centered Computing (HCC) and AI workplace integration research. First, this dissertation unpacks the underdeveloped links between women's representation - or lack thereof - in AI-related fields and how their experiences with gendered workplace dynamics in …

Contributions To Statistical Modeling And Estimation Of Rainfall Intensity–Duration–Frequency Curves, Jiyun Huang

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Extreme rainfall can cause flooding, damage infrastructure, and create serious risks for communities. Engineers use Intensity-Duration-Frequency (IDF) curves to estimate precipitation extremes over different lengths of time, such as one hour or one day, and the average time one would expect wait for one of these events to occur. Several approaches exist for estimating IDF curves, but no single approach is known to be best in all cases. In this dissertation, I study statistical methods that aim to improve IDF curve estimation. I use the Canadian Regional Climate Model (CanRCM4) Large Ensemble, which contains 35 independent climate simulations. These simulations …

Surface Reaction And Transportation Of Radium-226 In Marine Systems, Jiusi Wang

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Historical uses of radium (Ra)-containing self-luminous paint, such as on gauges and dials in naval ships, have led to the potential for such paint, and thus Ra, to be released into the marine environment. Radium-226 (²²⁶Ra) behavior in marine systems is not fully described in the literature, presenting a knowledge gap in the process of evaluating potential ecological impact of Ra in marine systems. This study explores various mechanisms contributing to Ra environmental transport in marine systems on a laboratory scale, including leaching, sorption, and diffusion. ²²⁶Ra leaching from watch hand dials containing radioactive luminous paint is …

Horticultural Strategies To Improve Yield And Efficiency For Controlled-Environment Cannabis Production, Michael John Alden

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Controlled-environment cannabis (Cannabis sativa L.) production is a novel horticultural industry due to long-standing federal prohibitions associated with production, distribution, and consumption of this species. Many cannabis production methods are based on legacy knowledge and hypotheses that often contradict standard practices used in the agriculture and floriculture sectors. During this research, several horticultural practices were evaluated, including shoot number manipulation, fertilizer restriction, harvest timing, and photoperiod manipulation. Shoot number manipulation was achieved by repeatedly pinching apical shoots, which reduced reproductive shoot length (cm/shoot) and improved inflorescence:trim ratio, both of which can reduce material cost in production and labor cost …

Advancing Life Cycle Assessment Of Mass Timber: Environmental Performance, Circular Design And End-Of-Life Strategies, Muzan Williams Ijeoma

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Mass timber has emerged as a leading candidate for low-carbon construction, offering the dual benefits of reduced embodied emissions and biogenic carbon storage. Yet, fully realizing its sustainability potential requires a comprehensive and context-specific understanding of its environmental performance across the entire life cycle, from raw material production to building operation and beyond end-of-life (EoL). This dissertation advances life cycle assessment (LCA) practices for mass timber by addressing critical challenges across multiple phases of its life cycle. This dissertation is comprised of three published papers, and two submitted manuscripts. First, I conducted a critical review and meta-analysis of mass …

Redefining The Script: Autonomy, Agency And Advocacy Among Black Women Educators, Racquel Plummer

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ABSTRACT

This qualitative study examines how Black women educators working with scripted curricula exercise autonomy, agency, and advocacy in elementary school contexts. Guided by interpretive phenomenology, the inquiry centers on lived experience and meaning-making. Data were collected through semi-structured interviews with ten educators, supplemented by reflexive journaling, member checking, and peer debriefing to enhance the trustworthiness of the findings. Analysis used iterative, thematic methods within a hermeneutic circle.

Two questions shaped the design. What beliefs and perceptions do Black women educators hold about autonomy, agency, and advocacy in scripted classrooms? How do they negotiate professional identity and role within mandates? …

The Bandwagon Model, Dean A. Williams

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Professional sports teams are in the entertainment market where owners of teams invest in players with the hopes of converting their talents into wins, and in turn, added revenues for their team. To gain an understanding of the incentives that shape these team talent investment decisions, prior economists have created theoretical models of professional sports leagues that give predictions regarding the cost to acquire talent, and the winning percentage of teams from different market sizes. These models are then used to show how team talent investment decisions change once professional sports leagues implement policies such as first-year player drafts, salary …

Breeding For Disease Resistance In Melon And Watermelon, Venkata Rao Ganaparthi

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Watermelon and cantaloupe are two widely consumed cucurbits, but their acreage in the United States reduced by nearly 50% in last two decades. Fusarium wilt caused by a soil borne pathogen Fusarium oxysporum f. sp. niveum(Fon) race 2 is a major limiting factor in watermelon production as it reduces yields by 80%. Grafting watermelon plants onto the root stock of wild, disease-resistant varieties like ‘Carolina Strongback’ is the best strategy to manage Fon race 2. Though effective, this approach increases production costs.

Part of this dissertation focused on finding more sustainable, cost-effective solutions to control Fusarium wilt …

Legitimacy, Learning, And Launch: Exploring Relationships, Community, And Connection In An Undergraduate Research Experience, Randi J. Sims

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Undergraduate research experiences (UREs) are critically important methods for integrating undergraduate students into legitimate scientific practices. While widely celebrated for producing positive outcomes such as increased self-efficacy, research skills, and STEM retention, less is known about the processes through which undergraduate mentees become integrated members of their research groups and the broader scientific community. This dissertation presents findings from both a systematic literature review and a quantitative ethnographic study of a biological sciences URE at a southeastern R1 predominantly white institution (PWI). Grounded in communities of practice and legitimate peripheral participation frameworks, this study explores how undergraduate researchers build relationships, …

Reverse (Bio)Engineering: A Machine Learning Approach To Optimize Baseball Pitcher Health And Performance, Robert C. Moore

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Ball tracking systems are becoming ubiquitous in sport, creating an unprecedented opportunity for big data applications to optimize human health and performance. These applications are especially common in baseball, a sport known for analyzing ball flight data to quantify performance. Analysts routinely use ball flight data to identify the attributes of top performing pitchers, finding that the best pitchers throw with optimal combinations of release speed and spin to precise locations. However, for certain pitchers, the throwing motion required to produce optimal ball flight places exceedingly high biomechanical load on the elbow, and consequently injury rates continue to rise. This …