Influence Of A Structured Strength Program On Sport-Related Outcomes In Female Lacrosse Players, Taylor R. Howard

UNF Graduate Theses and Dissertations

Per the National Collegiate Athletic Association (NCAA), approximately 30,000 individuals participate in collegiate lacrosse in the United States, roughly 13,000 being women. Participation beyond the NCAA has increased substantially in the National Association of Intercollegiate Athletics (NAIA), National Junior College Athletics Association (NJCAA), the Women’s Club Lacrosse Association (WCLA), and high school programs nationwide.  As women’s lacrosse continues to grow, strength and conditioning programs at the collegiate level have become pervasive to enhance athletic performance. However, limited research exists examining the impact of strength training on physical performance in women’s lacrosse.

The purpose of this study was to investigate the …

A Comparative Evaluation Of Data Imbalance Handling Techniques In Machine Learning Models For One-Year Mortality Prediction In Liver Cirrhosis, Sumiya Hasan Trisha

UNF Graduate Theses and Dissertations

Liver cirrhosis is associated with substantial morbidity and mortality, making one-year mortality prediction a clinically relevant problem. Using a liver cirrhosis dataset as the motivating application, this thesis evaluates five machine learning classifiers—Logistic Regression, Random Forest, XGBoost, LightGBM, and CatBoost—under five class-imbalance handling strategies: Baseline learning, Random Oversampling, SMOTE-NC, ADASYN, and Cost-Sensitive Learning. Hyperparameter tuning was conducted using randomized search, and predictive performance was assessed over 200 iterations of Monte Carlo Cross-Validation using Accuracy, Precision, Recall, Fl-score, and ROC-AUC.

The results suggest that imbalance-handling strategies can materially affect predictive performance, particularly recall. Because the outcome of interest is death within …

A Comparative Study Of Classification Methods For Healthcare Analytics, Xueting Zhao

UNF Graduate Theses and Dissertations

This thesis presents a comparative study of logistic regression, Linear Discriminant Analy- sis (LDA), and Quadratic Discriminant Analysis (QDA) for binary classification in healthcare analytics, integrating theoretical derivation, simulation, and real-data application. A facto- rial simulation study crosses the covariance structure (equal vs. unequal), predictor correla- tion (ρ ∈ {0, 0.5, 0.9}), dimensionality (p ∈ {2, 5, 10}) and sample size (n ∈ {50, 100, 200}) across 54 scenarios with 1,000 Monte Carlo replicates each. Three main findings emerge. Logistic regression and LDA are nearly interchangeable when the assumption of equal-covariance holds. QDA achieves substantially better discrimi- nation when class-specific …

Widowed And Wounded? Exploring The Health Impacts Of Adverse Childhood Experiences In Later Life Widowhood, Sierra Wickline

UNF Graduate Theses and Dissertations

Losing a spouse is considered one of the most stressful life events that disproportionately affect older individuals. Exposure to traumatic events at an early age can change the body’s response to subsequent stressors across the lifespan. These physical changes often impact people’s health. Utilizing data from the Health and Retirement Study, the current study aimed to investigate the link between: adverse childhood experiences (ACEs) and three indicators of health: inflammation (i.e., c-reactive protein [CRP], reflecting immune functioning), as well as self-reported depressive symptoms and physical health, among people who have lost a spouse. Participants included 97 widowed individuals aged 68 …

Brewing Black Girl Magic: From Hush-Toned Kitchens To Educational Spaces: A Narrative Inquiry Into The Inherited Wisdom, Radical Resilience, And Professional Becoming Of Black Women, A Three-Paper Dissertation, Sheryl Patterson-Coulibaly

UNF Graduate Theses and Dissertations

This dissertation examines how racialized and gendered expectations shape the professional experiences of Black women in predominantly white educational spaces. Drawing on a three-article format, this study investigates how Black women navigate institutional conditions that depend on their labor yet fail to provide adequate support. Grounded in Black Feminist Marxist Thought and emerging Black Womanist Theory, the study centers the emotional, relational, and spiritual dimensions of Black women’s labor, extending traditional analyses of work, leadership, and resilience.

Of Fire and Fabrication: A Systematic Review on the Myth of Strength and Erasure of Black Women in White Educational Spaces reveals that …

Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto

UNF Graduate Theses and Dissertations

The COVID-19 pandemic widened academic achievement gaps, creating an urgent mandate for school leaders to implement systemic, data-driven frameworks to support student academic recovery. While the Multi-Tiered System of Supports (MTSS) is a widely adopted framework for addressing these disparities, its success is dependent on the strategic involvement and instructional leadership of the school principal. This qualitative case study explores the lived experiences and leadership characteristics of elementary school principals as they lead School-Based Leadership Teams in implementing a district-developed MTSS framework.

Guided by the principles of Improvement Science and the Plan-Do-Study-Act (PDSA) inquiry cycle, this research examines the specific …

The Un-Bridged Pipeline: Leading And Preparing Women Of Color To Senior-Level Higher Education Administration, Jacqueline D. Slater

UNF Graduate Theses and Dissertations

Despite increased educational attainment among Black women, representation in senior‑level leadership positions within higher education remains limited. This qualitative study examines the experiences of Black women who serve or have served in senior‑level academic administrative roles and explores how those experiences inform guidance, preparation, and decision‑making for future Black women leaders. The study focuses on practical barriers, workplace realities, and strategies that shape leadership entry, advancement, and retention.

Using a descriptive case study design, five Black women with professional experience as presidents, provosts, vice provosts, and academic deans participated in semi‑structured interviews lasting 45 to 75 minutes. Purposeful sampling ensured …

Fostering Reading: Review Of A College Bridge Program For Deaf And Hard Of Hearing High School Students, Cara Wilmot

UNF Graduate Theses and Dissertations

This mixed-methods formative program evaluation examined the reading component of a summer College Bridge Program (CBP) designed for high school students who are deaf and hard of hearing (d/Dhh). Persistent disparities in reading outcomes among d/Dhh students have been linked to differences in language access, communication access, and opportunities to receive specialized instruction. Using the Context, Input, Process, Product (CIPP) evaluation model, this study evaluated how the CBP identified and addressed students' reading needs, implemented evidence-based instructional practices, and supported reading development through a three-week summer program.

Participants included 45 d/Dhh high school students from 12 southeastern states, as well …

Exploring The Undergraduate Student Perceptions Of Sense Of Belonging At Their University: A Q-Methodological Approach, Jose Acevedo

UNF Graduate Theses and Dissertations

       The transition to higher education is a significant life event requiring substantial social, academic, and psychological adjustment, during which a powerful sense of belonging is critical for student success and retention. While traditional models of student retention often prioritize support services and academic integration, they frequently overlook the intricate relational dynamics and deeply personal subjective experiences that shape belonging. This research utilized Q methodology to explore the multifaceted ways undergraduate students at the University of North Florida (UNF) understand and prioritize the determinants of institutional belonging. Guided by an integrated conceptual framework of Maslow’s Hierarchy of Needs, Self-Determination Theory, Social …

An Exploration Of Knowledge-Sharing Behaviour Within A Community-Based Service Provider: A Reflexive Thematic Analysis, Paul Mcmanus

Doctoral

This qualitative research examines the knowledge-sharing (KS) behaviour of employees within a non-profit organisation (NPO) based in Dublin, Ireland. This NPO is a community-based service provider that supports people with disabilities and their families. It operates under the aegis of the Health Service Executive (HSE). The ability of employees to share knowledge is fundamental to the sustained care of society’s most vulnerable. Research on employees’ KS behaviour remains underrepresented within the non-profit sector. This gap in knowledge aligns with the NPO’s view that its KS environment requires improvement. In response to the literature review, a developed taxonomy conceptualises the organisation …

Can We Read Ai’S Mind? A Quest For Transparency, Santhosh Kumar Ravindran, Estera Kot, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Although Artificial Intelligence (AI) systems are playing an increasing role in critical domains such as healthcare, finance, and autonomous systems, their decision-making processes remain largely opaque. This paper examines the challenges of AI transparency, addressing the “black box” problem using Explainable AI (XAI) techniques such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). It also examines the ethical, regulatory, and societal implications of AI opacity and proposes a Comprehensive AI Observability (CAO) Framework that integrates deep explainability, provenance tracking, and real-time monitoring to enhance AI accountability. By bridging technical solutions with governance structures, this research emphasizes the …

Interpretable Machine Learning For In-Home Mild Cognitive Impairment Detection, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer

Research Collection School Of Computing and Information Systems

This paper introduces a novel system for in-home cognitive health assessment using ambient sensors and a machine learning technology that can robustly detect mild cognitive impairment (MCI) despite limited available data. The learned model can explain the aspects of individuals’ daily lives led to the prediction, while reliably predicting MCI, providing more insights to healthcare workers for further clinical interventions. We developed the robust transparent machine learning model, based on fusion adaptive resonance theory (Fusion ART) neural network to learn individuals’ daily patterns of activity from continuous sensor data in terms of a suite of digital biomarkers reflecting four key …

Ai Systems For Physicians: A Review From Socio-Technical And Human-Computer Interaction Perspectives, Wu Jiaqi Young, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The adoption of artificial intelligence (AI) in healthcare is accelerating, yet successful implementations of physician-facing AI systems remain limited and uneven. This paper presents a literature review of 40 peer-reviewed studies published between November 2022 and November 2024, spanning clinical, technical, and human-computer interaction (HCI) domains. Anchored in a socio-technical perspective, the review examines our existing understanding of how technical design, user expertise, and organizational factors shape the effectiveness of AI systems in real-world clinical settings. Our analysis identifies two meta-themes: (1) context as a dynamic, multi-level influence that actively reshapes AI system behavior, and (2) trust as an emergent …

Memoryart: Enhancing Llms Via Multi-Memory Models With Adaptive Resonance Theory For Healthcare Agents, Renke Dai, Hebin Hu, Jiahui Zhang, Yilin Kang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Though promising in healthcare consultation applications, large language models (LLMs) face critical limitations in retaining and utilizing long-term memory across multiturn interactions. In particular, existing memory enhancing paradigms are constrained by limited context windows and embedding-based retrieval, often failing to maintain task relevance and still suffering from memory prototype collapse in multi-turn healthcare consultation. To address these challenges, we propose a cognitively-inspired memory framework named MemoryART, which is grounded in Adaptive Resonance Theory (ART)—a cognitive and learning theory of how humans and animals adapt to dynamic environments. MemoryART employs three memory modules—working memory, episodic memory, and semantic memory to support …

Dual-Lora And Quality-Enhanced Pseudo Replay For Multimodal Continual Food Learning, Xinlan Wu, Bin Zhu, Feng Han, Pengkun Jiao, Jingling Chen

Research Collection School Of Computing and Information Systems

Food analysis has become increasingly critical for health-related tasks such as personalized nutrition and chronic disease prevention. However, existing large multimodal models (LMMs) in food analysis suffer from catastrophic forgetting when learning new tasks, requiring costly retraining from scratch. To address this, we propose a novel continual learning framework for multimodal food learning, integrating a Dual-LoRA architecture with Quality-Enhanced Pseudo Replay. We introduce two complementary low-rank adapters for each task: a specialized LoRA that learns task-specific knowledge with orthogonal constraints to previous tasks’ subspaces, and a cooperative LoRA that consolidates shared knowledge across tasks via pseudo replay. To improve the …

Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau

Research Collection School Of Computing and Information Systems

Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …

Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics, Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu

Research Collection School Of Computing and Information Systems

Semi-supervised community detection seeks to find a specified community type when only few communities are labeled. Existing "select-then-refine" pipelines often start from mis-aligned cores and rely on Reinforcement-Learning or Generative Adversarial Network, increasing computational cost and limiting scalability. We address these issues with a unified energy framework under crystallization kinetics that jointly models energy, structure, and growth. Based on this perspective, we propose CLique ANNealing (CLANN), which first employs Nucleus Proposer to select candidate clique as community core under four physics-inspired criteria. A learning-free Transitive Annealer then iteratively merges neighboring cliques and repositions the nucleus, enabling spontaneous, scalable community growth. …

Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, combining the strength of large language models (LLMs) and Evolutionary Computation (EC) has shown promising results for addressing optimization problems. It typically involves either iterative next-step solution seeking or directly prompting LLMs to generate critical optimization codes. However, these methods often suffer from low computational efficiency, high sensitivity to prompt design, and a lack of domain-specific knowledge. We introduce LLaMoCo, the first instruction-tuning framework designed to adapt LLMs for solving optimization problems in a code-to-code manner. LLaMoCo features a comprehensive instruction set that includes code-style problem descriptions as input prompts and robust optimization codes from expert EC optimizers as …

Nature-Based Solutions For Urban Resilience And Environmental Justice In Underserved Coastal Communities: A Case Study On Oakleaf Forest In Norfolk, Va, Farzaneh Soflaei, Mujde Erten-Unal, Carol L. Considine, Faeghe Borhani

Civil & Environmental Engineering Faculty Publications

Climate change and sea-level change (SLC) are intensifying flooding in U.S. coastal communities, with disproportionate impacts on Black and minority neighborhoods that face displacement, economic hardship, and heightened health risks. In Norfolk, Virginia, sea levels are projected to rise by at least 0.91 m (3 ft) by 2100, placing underserved neighborhoods such as Oakleaf Forest at particular risk. This study investigates the compounded impacts of flooding at both the building and urban scales, situating the work within the framework of the UN Sustainable Development Goals (UN SDGs). A mixed-method, community-based approach was employed, integrating literature review, field observations, and community …

Harnessing Activated Sludge For The Treatment Of Hydrothermal Liquefaction Wastewater: A Proof-Of-Concept Study, Cyrus Li, Jiefu Wang, Meicen Liu, Yi Zheng, Sandeep Kumar, Isamu Umeda, Chandan Mahata, John Norton

Civil & Environmental Engineering Faculty Publications

Although hydrothermal liquefaction (HTL) is the leading technology in converting wet biomass into bioenergy, the treatment of its toxic-laden aqueous phase wastewater presents a major challenge on its path toward commercial viability. This study presents the first-ever assessment of sewage sludge-fed HTL wastewater (SS-HTLWW) treatment and toxic compound removal using municipal activated sludge (AS) by optimizing its cultivation condition. It was found that AS with optimized pretreatment can remove up to 91.2% of the soluble chemical oxygen demand (sCOD) in SS-HTLWW, of which up to 82% can be attributed to biological mineralization and adsorption of sCOD by AS. Conventional bioprocess …

Modeling Hepa Filter Media Performance And Evaluation Of Filtration Leak Test Success, Daniel M. Abraham, Steven J. Eckels, Shahin N. Amiri

Civil & Environmental Engineering Faculty Publications

This research presents a cost-effective microscale modeling analysis of high-efficiency particulate air (HEPA) filter media. We analyzed leak-free and leaking media with known leak sizes. A three-dimensional fibrous model with non-homogeneous fiber diameters (0.2–2 µm) and a packing density of 7.5% was developed to replicate a HEPA filter sheet (H14) microstructure. The objective was to simulate and analyze the pressure drop and collection efficiency of nanofibrous media for aerosol particles with a diameter of d_p ≤ 0.5 µm. The results were compared to prior experimental and theoretical models, exhibiting a high level of agreement with pressure drop and efficiency …

Understanding Wage Theft: Beyond The Numbers Through Community Practice, Lived Experience, And Research, André Simões Da Silva, Lenita Reason, Cristina Araujo Brinkerhoff

Gastón Institute Publications

Wage theft is a widespread form of labor exploitation that disproportionately affects immigrant and other vulnerable workers. This report examines the scope and impact of wage theft in Massachusetts by analyzing case data from the Brazilian Worker Center (BWC) alongside wage and labor enforcement data from the Massachusetts Attorney General’s Office (AGO). The analysis demonstrates how wage theft affects immigrant workers across industries, with particularly high numbers of cases in construction, cleaning, and hospitality. The data also reveal significant gaps in the reporting and enforcement of wage violations, particularly among domestic workers, whose cases are likely substantially underrepresented in available …

Multi-Objective Optimization Strategy For Component Sizing In Solar-Hydrogen Microgrids Using An Advanced Hybrid Genetic Algorithm, Dylan Jones

UNF Graduate Theses and Dissertations

This thesis presents the development of a genetic algorithm (GA) optimization framework for the design and component sizing of hybrid solar-hydrogen microgrids. The framework addresses a critical gap in research and existing commercial tools by unifying performance maximization and cost minimization objectives across both grid-tied and islanded configurations. Integrating solar photovoltaics, electrolyzers, hydrogen storage, fuel cells, and batteries, the GA employs adaptive weighting and dynamic boundary constraints to balance technical feasibility with economic efficiency. To ensure real-world viability, the algorithm relies on a novel Daylight Sun Factor (DSF) for localized solar assessment and was rigorously validated against multi-year, high-fidelity irradiance …

A Phenomenological Study Of The Perceptions Of Professional College Consultants Regarding The History And Future Of College Acceptance Inequity, Kimberly A. Spencer

UNF Graduate Theses and Dissertations

While inequities in college admissions processes in the United States have long been discussed, there have been seismic changes in policies during the last decade with increased competition for limited spots, significant cultural and political shifts affecting higher education, and the effects of the pandemic all further contributing to what has become a very complicated process. The purpose of this transcendental phenomenological study is to explore the perceptions of professionals working as Independent Educational Consultants counseling students through the college admissions process to gain insight into how the system is functioning for all students from those working closely with both …

The Journey Of High School Teachers Evolving Into Career Educators, Diane B. Ried

UNF Graduate Theses and Dissertations

Abstract

Teacher attrition has been a major challenge in the United States for decades, but more so after covid. This case study explored and expanded the understanding of the different levels of environmental impact on high school teacher retention in a Florida high school as they evolved into career educators. The present study used Bronfenbrenner’s (1979) Ecological Systems Theory to examine the teacher’s retention in a county in northcentral Florida. In order to better understand the experience of career development, this study used Savickas’ Career Construction Theory (2019). This case study investigated strategies, supports, and diversity related initiatives impacting a …

Evaluating The Impact Of Cognitive Distraction On Spaceflight-Relevant Task Performance Using Surface Electromyography And Motion Capture, Allyson K. Mitchell

UNF Graduate Theses and Dissertations

Cognitive distraction poses a risk to astronaut performance during complex, multitasking operations in spaceflight environments. This study examined the effects of cognitive load on neuromuscular coordination and task execution using surface electromyography (sEMG) and motion capture. Thirteen participants performed spaceflight-relevant tasks under undistracted and distracted conditions, with distraction induced through verbal questioning. EMG signals from eight upper-extremity muscles were processed using envelope filtering, peak normalization, and time normalization to enable inter-subject comparison, and group-level mean activation with standard deviation was analyzed. While overall muscle activation was similar between conditions, phase-dependent differences were observed, with undistracted trials showing higher activation during …

Effects Of Pressure-Based Virtual Reality Training On Mental Toughness In Athletes, Rylee J. Aspinwall

UNF Graduate Theses and Dissertations

Athletes often underperform in high-pressure situations due to challenges in emotional regulation rather than deficits in physical skill. Mental toughness, broadly defined as the ability to maintain performance under stress, is a key determinant of athletic success but remains difficult to train using traditional methods. Virtual reality (VR) offers a controlled and immersive environment for simulating competitive pressure; however, its application for training mental toughness remains limited. The present study examined the effects of pressure-based VR training on psychological and physiological responses in collegiate baseball and softball athletes. Participants completed up to eight VR training sessions under either high-pressure or …

Regulation And Localization Of Urease In Sporosarcina Pasteurii: Implications For Coastal Protection, Amar Kosovac

UNF Graduate Theses and Dissertations

Coastal erosion is a persistent problem exacerbated by global warming. As the climate changes, the southeastern coast is likely to experience an increased frequency and intensity of storms, which can significantly damage the coastline. The coast is crucial as it serves as a habitat for numerous animals, supports tourism, and underpins infrastructure. Microbially induced calcite precipitation (MICP) is a novel method to enhance erosion resistance in sandy soils using the non-pathogenic bacterium Sporosarcina pasteurii. S. pasteurii produces urease to catalyze urea into bicarbonate, which drives the precipitation of calcium carbonate. Maximal expression of urease is a limiting factor for …

Social Support, Trauma And Neurophysiological Stress, Devon S. Glicken

UNF Graduate Theses and Dissertations

Traumatic life experiences and the prolonged effects of stress can negatively impact an individual’s mental and physical health. Hyperreactivity to acute stressors can often be seen in individuals with anxiety, depression, and suicidal ideations, conditions commonly observed with endocrine dysfunction. How do traumatic experiences, particularly experiences related to military affiliation, influence stress responses and feelings of burdensomeness and thwarted belongingness? This study predicted (1) that military-affiliated individuals (and those with PTSD symptomology and high perceived life stress) will have heightened neurophysiological responses to minor levels of acute stress compared to individuals without military-affiliations (and those without PTSD symptomology or high …

From Preparation To Practice: A Study Of Assistant Principals After Completion Of An Aspiring Assistant Principal Preparation Program, Mallory L. Mcconnell

UNF Graduate Theses and Dissertations

Leadership programs and readiness in schools, particularly those in Florida, is well studied. However, few studies have investigated how current assistant principals who have completed Clay County District School’s Aspiring Assistant Principal Program describe their experiences, believe the program has prepared them for the realities of school leadership, or identify the most impactful elements that have supported their leadership development. This case study seeks to collect foundational research knowledge by analyzing data from the program, participants, and key facilitators. Using a sampling of current assistant principals who have completed the Aspiring Assistant Principal Program, this research examines the results in …