Digital Commons Network^™

A Unified Thermodynamic Framework For Regime Discovery, Entropy-Aware Optimization, And Emergent Leadership In Flocking Systems, Victor Nkwocha

Graduate Thesis and Dissertation post-2024

This thesis presents a unified framework for modeling, optimizing, and analyzing collective behavior in flocking systems through a thermodynamic and statistical lens. In the first study, we employ entropy-regularized Gaussian Mixture Models (GMM) to identify distinct thermodynamic regimes—ordered, transitional, and disordered—based on the energy and entropy profiles of simulated agent-based flocks. The second study introduces the Organic Adaptive Flocking Algorithm (OAFA), a biologically inspired, entropy-aware extension of the Boids model. OAFA dynamically adjusts rule weights based on local entropy signals and is optimized via a multi-objective NSGAII framework to balance cohesion, separation, energy efficiency, and disorder. Results show that entropy …

Forgetyounot: A Student-Led Non-Profit For Dementia And Alzheimer's Awareness, Amanda M. Nunez-Ferreira

High Impact Practices Student Showcase Fall 2025

ForgetYouNot is a student-led community non-profit organization focused on promoting awareness for neurodegenerative diseases like dementia and Alzheimer’s disease. Created in 2023, ForgetYouNot has been able to impact the local communities of Pembroke Pines, Orlando, and Gainesville, and plans to continue to impact additional communities by expanding to additional university campuses. We work to promote awareness and education on memory loss diseases, and create a community around conversation, where people have a safe space to share if they have been affected by neurodegenerative diseases within their family. ForgetYouNot has now expanded to a virtual high school research program, as well …

Leading Change, Saving Lives: The Leadership Behind The National Marrow Donor Program, Madison Rhubart, Isabella De Araujo Mota

High Impact Practices Student Showcase Fall 2025

As part of the LEAD Scholar Academy service-learning project, our group partnered with the National Marrow Donor Program (NMDP), a nonprofit organization dedicated to saving lives through cell therapy and bone marrow donation. The purpose of our project was to support NMDP’s mission of expanding the marrow donor registry and to explore how leadership principles can be applied through meaningful community engagement.

Our volunteer work included assembling and labeling swab kits, assisting with donor registration drives, and educating UCF students about the importance of joining the registry. Through these activities, we not only contributed to lifesaving outreach efforts but also …

Correlation Between Physical Inactivity And Mortality Due To Alzheimer's Disease., Steven Dimitrakakis

High Impact Practices Student Showcase Spring 2025

No abstract provided.

Controlled Experimental Design Of Neurocognitive Delay Of Alzheimer’S In Standard American, Mediterranean, And Dash Diet Research Proposal, Jasmine Kaur

High Impact Practices Student Showcase Spring 2025

Alzheimer’s disease is an incurable illness of the neuronal system of which has been studied extensively The study presented intends to evaluate the effect of the MIND and the mediterranean diet in the prevention of Alzheimer’s disease, as well as the effect of the Standard American Diet on the development of it as well. Unlike many studies involving the effects of diet in the development of the disease in older populations, this study would involve UCF college students who are scheduled to graduate in 2030. The participants would be evaluated using the Cognitive Function Battery, a series of tests shown …

Predicting Milk Quality With Machine Learning, Franco Vidal, Matthew Nighting-Henderson​

High Impact Practices Student Showcase Spring 2025

Milk is a critical component of diets around the world, offering essential nutrients such as protein, calcium, and vitamin B12. However, in many low-income and rural regions, milk quality is often compromised due to poor storage conditions, lack of pasteurization, and even intentional adulteration. Low-quality milk poses serious health risks, including bacterial infections, toxin exposure, and long-term organ damage. These challenges highlight the need for reliable, accessible methods to assess milk quality without relying on costly laboratory testing.

In this study, we propose a data-driven approach to predict milk quality using ordered logistic regression. The dataset used, sourced from Kaggle, …

Fabricating Silver-Ceria Polymer Nanocomposite Scaffolds For Biomedical Therapeutic Applications, Shreya S. Pawar

Honors Undergraduate Theses

Improper healing of bone fractures and limited regeneration of bone following bone tumor resection remain a prevalent complication worldwide. Long-term effects of this include joint instability, limited movement, and arthritis. Bone infections (osteomyelitis), reactive oxygen species (ROS) generation via excessive inflammation, and underlying conditions such as osteoporosis can contribute to suboptimal bone tissue regeneration. ROS accumulation stimulates osteoblast apoptosis, while promoting osteoclast differentiation. These processes inhibit mineralization and osteogenesis. Conventional therapeutics involve the utilization of drugs and bone grafts. However, these approaches pose limitations and can result in subsequent complications. Microbial infections, ROS accumulation, and excessive inflammations are factors that …

Novel Nanomaterial-Based Platforms For Bio-Electrochemical Sensing And Photocatalytic Treatment Of Contaminants Of Emerging Concern In Water, Jonghyun Baik

Graduate Thesis and Dissertation post-2024

This dissertation presents the development of novel nanomaterial-based platforms for bio-electrochemical sensing and photocatalytic treatment of contaminants of emerging concern (CECs) in water, including heavy metals, polycyclic aromatic hydrocarbons (PAHs), per- and polyfluoroalkyl substances (PFAS), and microcystin toxins. Conventional detection and remediation methods are often costly, time-consuming, and impractical for field use. To overcome these limitations, in this dissertation, five distinct platforms were designed, developed, and evaluated under various water conditions.

First, a microbial fuel cell (MFC)-based biosensor was developed for detecting heavy metals (Cu²⁺ and Hg²⁺) and PAHs (benzene and xylene). The system exhibited rapid, linear …

Assessment Of The Safety Culture In Petrochemical Industries In Saudi Arabia: A Cross-Sectional Study, Ahmed Mohammed Alqarfi

Graduate Thesis and Dissertation post-2024

Given the inherently hazardous nature of petrochemical operations, an effective safety culture is critical. Following PRISMA 2020 guidelines, 29 peer-reviewed articles published in open access between 2014 and 2024 were selected to evaluate the status of safety culture dimensions employed in the petrochemical sector. This cross-sectional study assessed safety culture in the Saudi Arabian petrochemical industry and examined the relationships among safety culture dimensions, safety motivation (SM), and safety performance. Safety performance was operationalized as personal error behavior (PEB) and attitudes toward violations (ATV), with SM modeled as a mediating factor. After obtaining IRB approval, a total of 482 employees …

An Ailment I Will Fight With: Differential Diagnosis And Methodology Evaluation Of Possible Treponemal Infection At Dayr Al-Barsha, Egypt, Lindsey D. Lefebvre

Graduate Thesis and Dissertation post-2024

Treponemal diseases, including bejel, yaws, pinta, and venereal syphilis, have long plagued human populations and continue to pose public health challenges today. Despite their persistent global presence, the origins, transmission pathways, and archaeological identification of these diseases—caused by various subspecies of Treponema pallidum—remain contested. This study explores the utility of standardized diagnostic criteria, as proposed by Baker et al. (2020), in assessing the presence of treponemal disease in highly fragmentary skeletal remains from the Roman-period necropolis at Dayr al Barsha, Egypt. Through the examination of 14 individuals, this research seeks to (1) identify indicators consistent with bejel (T.p. …

Determining Essential Attributes For Experience And Satisfaction In The Customer 4.0 Era: A Kano Model Approach, Cintia Z. Buffon

Graduate Thesis and Dissertation post-2024

The world is constantly changing, with rapid technological advancements and increased digital connectivity shaping daily activities. In this evolving landscape, customers have transformed into what is known as Customer 4.0—a new generation of consumers who expect high levels of personalization, digital engagement, and greater transparency from organizations. These expectations extend to higher education, where students demand more customized learning experiences, interactive content, and digital accessibility. This research investigates engineering students' preferences regarding educational attributes aligned with Customer 4.0 characteristics using the Kano model. While the Kano model has been widely applied across industries, its use in higher education remains limited. …

Investigating The Impacts Of Peer Support And Online Information Seeking In Chronic Pain Online Health Communities, Aaron Necaise

Graduate Thesis and Dissertation post-2024

Chronic pain is a highly prevalent medical condition that contributes to intense emotional distress and social isolation in patients. With the growth of social media, online health communities (OHCs) have become a popular resource for patients to learn about their pain and establish social connections with peers. Although there is some evidence suggesting that curated online resources can benefit patient well-being, social media interactions have the potential to propagate medical misinformation and negativity. This dissertation expands upon the Social Communication Model of Pain to examine how interactions within social media-based OHCs impact chronic pain and uncover practical insights into OHC …

Genomic Consequences Of Habitat Fragmentation In The Florida Scrub-Jay: Diversity, Adaptation, And Disease Susceptibility, Maryam Ghoojaei

Graduate Thesis and Dissertation post-2024

Habitat fragmentation is a severe threat to biodiversity by reducing population size, gene flow, and adaptive potential, especially in habitat specialists like the Florida Scrub-Jay (Aphelocoma coerulescens). This dissertation integrates whole-genome sequencing and immunogenetics to assess the genomic consequences of habitat fragmentation across three primary Florida Scrub-Jay strongholds: Archbold Biological Station, Ocala National Forest, and Florida’s East Coast. In Chapter 2, I focused on adaptive genetic diversity at the Major Histocompatibility Complex (MHC) class II genes. I characterized MHC allelic richness, evaluated signatures of selection, and examined associations with pathogen infections. Despite population declines, I found moderate MHC diversity, suggesting …

Contagion Chronicles: A Spatiotemporal Analysis Of Armed Conflict And Infectious Disease, Devyn Escalanti

Graduate Thesis and Dissertation post-2024

This dissertation examines the relationship between armed conflict and infectious disease transmission through a novel theoretical framework that integrates ecological disturbance and health systems resilience theories into epidemiological contexts. The framework conceptualizes diseases along a continuum from "pulse" to "press." Pulse diseases, like Ebola, are characterized by sudden onset, high mortality, and short-term outbreaks. Press diseases, like HIV, progress gradually with lower mortality and long-term persistence. Grounded in this pulse–press disease typology and ecological and health systems resilience, the theory suggests that the absorptive capacity, adaptive capacity, and resilience of community health workers in conflict areas can influence disease transmission, …

Shock Tube Investigation And Chemical Kinetic Modeling Of Green Propellants For Space Missions, Marley Albright

Graduate Thesis and Dissertation post-2024

Hydrazine thrusters have been used for decades to land spacecraft on other planets. While its use is common, handling hydrazine is difficult due to its toxicity; this poses a risk to humans during testing and loading the propellant onto a spacecraft. Occupational Safety and Health Administration has limited human exposure to 1 part per million (ppm) of hydrazine per eight-hour workday. Green propellants are promising alternatives because they have lower toxicity but do not sacrifice performance. Green propellant technology has been demonstrated in space and future missions are planned, such as NASA’s Green-Propulson Dual-Mode technology demonstration. At the University of …

On The Dynamic Connectivity And Phase Transition In River Networks, Juthika Roy

Graduate Thesis and Dissertation post-2024

River network (RN) structure has a significant impact on flux transport, aggregation and ecosystem connectivity. In this dissertation, the structural control of RN on flux transport was investigated by the application of integrated framework of dynamic clusters and network graph theory. This new framework has been proposed to determine sub-catchment connectivity using minimum and maximum flow criteria. Our analysis on synthetic and natural RNs across United States demonstrates that basin scale connectivity at low flow conditions is efficiently governed by the abundance of side branching junctions whereas this characteristic slows down the flux convergence rate at maximum flow condition.

Furthermore, …

Practical Applications For Biomechanical Modeling Methods, Joseph M. Dranetz

Graduate Thesis and Dissertation post-2024

Models are tools humans use to understand and assess the world around them. The field of biomechanics is one well suited to modeling pursuits. Physiological systems are complex, and modeling may serve as an appropriate method in understanding them. Recently, technologies enabling the collection of biomechanical data have improved greatly and continue to expand. This dissertation serves as an anthology of various attempts to collect and interpret biomechanical data with modeling.

The first study: Electromyographic, ultrasound, and knee torque data was collected from both legs of an individual with a unilateral transtibial amputation. These data were used to generate a …

Strengthening Community Resilience Towards Infrastructure Disruptions Due To Hurricanes, Tasnuba Binte Jamal

Graduate Thesis and Dissertation post-2024

Extreme events such as hurricanes can significantly disrupt infrastructures, leading to negative impacts on productivity, economy, and social wellbeing. Understanding community resilience against infrastructure disruptions in response to such events is crucial for effective preparedness, mitigation, and recovery efforts. The overarching problem addressed in this dissertation centers around enhancing community resilience against infrastructure disruptions due to hurricanes. Community resilience is defined as the ability of a community to return to normalcy following a disaster. One way to enhance community resilience is to strengthen its critical lifelines and infrastructure services (e.g., power, water, transportation, internet) and capital—to reduce the likelihood of …

Exploring The Experience Of Heart Disease Among Burmese Immigrants In The United States, Khup S. It

Graduate Thesis and Dissertation post-2024

The ongoing political and military turmoil in Myanmar has resulted in a significant increase in the migration of Burmese individuals to the United States in recent years. This demographic shift has brought attention to the health challenges faced by Burmese immigrants, particularly with regard to heart disease (heart attack). The complexities of the U.S. healthcare system, compounded by legal and social barriers, place immigrants at greater risk for health disparities. This study examines the health challenges of Burmese immigrants in Tulsa, Oklahoma, with a specific focus on their perceptions and experiences related to heart disease, as explored through illness narratives. …

Optimizing Emissions And Sustainability Of Alternative Fuel Buses Using Machine Learning And Life-Cycle Modeling, Md Rezwan Hossain

Graduate Thesis and Dissertation post-2024

Public transportation is undergoing a critical transition as agencies seek to balance environmental responsibility, operational efficiency, and economic viability. Alternative fuel buses (AFBs), including electric, compressed natural gas (CNG), propane, and biodiesel, offer opportunities to reduce emissions and advance sustainability, yet their adoption raises complex trade-offs. High upfront costs, infrastructure constraints, range limitations, and variable real-world performance complicate decisions for fleet managers and policymakers. This dissertation addresses these challenges by integrating real-world operational data, life-cycle modeling, and machine learning within a multi-objective optimization framework to evaluate and optimize AFB deployment. Using detailed telematics and GPS datasets from Central Florida's transit …

Smart Urban Air Pollution Management Using Crowdsourced Big Data, Low-Cost Sensor Network And Aerial Remote Sensing, Md Hasibul Hasan

Graduate Thesis and Dissertation post-2024

Air pollution remains one of the most pressing environmental and public health challenges, especially in urban areas with dense populations and concentrated emission sources. Effective air quality management requires accurate information on emissions to guide control strategies and reliable exposure estimates to evaluate health impacts. This dissertation examines multiple sources of uncertainty in both emission and exposure assessments. Two major emission sectors were investigated: on-road motor vehicles and landfills. For on-road sources, detailed traffic information inferred from crowdsourced big data were leveraged to improve the estimation of traffic-related emissions. For landfills, the application of low-cost sensor and aerial remote sensing …

Advancing Drug Discovery With Structural And Representation Learning Of Biological Systems, Mehdi Yazdani-Jahromi

Graduate Thesis and Dissertation post-2024

The rapid emergence of global health crises, exemplified by the Coronavirus Disease 2019 (COVID-19) pandemic, underscores the profound limitations of conventional drug discovery methods, which are inherently protracted and resource-intensive. A robust, accelerated response framework demands the sophisticated deployment of Artificial Intelligence (AI) and Machine Learning (ML) across the entire therapeutic pipeline. We propose a unified approach centered on \textbf{Structural and Representation Learning} to capture the intricate topological and chemical nuances of biological systems, thereby transforming complex molecular and genomic data into effective vector embeddings suitable for deep learning, enhancing predictive power, and crucially, interpretability. This dissertation details advancements across …

Investigating Algal Toxin Occurrence And Water Quality Correlations In A Freshwater–Estuarine System, Sunday Sam Egon

Graduate Thesis and Dissertation post-2024

Cyanobacterial toxins, particularly microcystin-LR (MC-LR), present persistent risks in freshwater and estuarine environments, especially under flow-regulated system where hydrodynamics and biology interact complexly. This study investigates the occurrence of MC-LR across a lake–estuary water matrixes, sampling 13 sites from Lake Okeechobee through Caloosahatchee canal, river, and estuarine zones from March to September. Water quality parameters including conductivity, temperature, dissolved oxygen, chlorophyll-a, and phycocyanin were measured in situ. The concentration of MC-LR, and nutrients (ammonium, orthophosphate, and nitrite concentrations) were measured in the laboratory. Multivariate correlation, principal component analysis, and multiple regression were employed to determine dominant drivers of toxin occurrence. …

High-Efficiency Dual Active Bridge Converter With Stacked Secondary Phase For Next-Generation Ai Data Center Power Delivery, Anirudh Ashok Pise

Graduate Thesis and Dissertation post-2024

The rapid electrification of hyperscale AI data centers is accelerating a shift from legacy 48 V distribution ladders to ±400 V high-voltage DC backbones, concentrating residual loss and dynamic stress on a single isolated bidirectional interface. This work presents a high-density Dual Active Bridge with Stacked Secondary Phasing (DAB-SSP) architecture as a scalable GaN-based solution for 48 V–800 V rack-level power conversion. By stacking 400 V secondaries, the topology leverages 650 V GaN devices while satisfying 800 V system requirements, reducing clearance and creepage distances, minimizing magnetic path lengths, and embedding leakage inductance necessary for wide-range zero-voltage switching.

A rigorous …

Mems-Based Airflow Sensor For Apnea Detection Using Time-Of-Flight Technique, Parvin Akhkandi

Graduate Thesis and Dissertation post-2024

Sleep is essential for overall human health, influencing cognitive, emotional, and physical well-being. Respiratory-related sleep disorders, particularly obstructive sleep apnea (OSA), require early detection and effective treatment to prevent serious health complications. This dissertation explores innovative advancements in respiratory monitoring sensor development techniques, aiming to improve the diagnosis and management of sleep disorders. The sensor in this work incorporates a pair of Thin-film Piezoelectric on Substrate (TPoS) MEMS resonators operating at ~25 MHz, embedded in two oscillator circuits where frequency variations reflect changes in temperature and humidity caused by respiratory airflow. By precisely measuring airflow travel time between the resonators, …

Characterizing Muscle Control As An Emg Visual Matrix, Peter W. Makary

Graduate Thesis and Dissertation post-2024

Evaluating electrical muscle activity patterns using surface electromyography (EMG) is a widely used technique to assess movement in research settings, but its use has not been translated to clinical settings. This study aims to investigate the potential of evaluating muscle activity control through a visual matrix display. EMG data from older and younger adults collected in a previous seated locomotor perturbation study was used to generate visual matrices representing their lower-limb ankle muscle activity. Visual matrices from each condition consist of 20x20 grids, where each axis represents activity from an individual muscle of muscle pairs, such as the tibialis anterior …

Increasing Bystander And Environmental Awareness Through Haptic Feedback, Jose-Valentin T. Sera-Josef

Graduate Thesis and Dissertation post-2024

The Chariot System is a bystander and environmental awareness system that uses vibrotactile haptic feedback delivered via a wearable. It was designed with the goal of using a subject's haptic channel to keep them aware of their surroundings thus freeing their visual channel to focus on and enjoy a virtual reality (VR) experience. This work contributes to the space of VR research that aims to keep users aware of the outside world while in VR, an area that typically focuses on using visual notifications but rarely applies haptics. A user study involving 24 participants was conducted comparing the Chariot System …

Down By The Tracks, Ova ‘Cross The Trussle: Exploring Systemic And Structural Barriers To Perinatal Healthcare Access For Black Women In Rural Alabama, Trinity C. Johnson

Graduate Thesis and Dissertation post-2024

This dissertation uses semi-structured interviews (n=42), participant observation, archival research, and storytelling, it employs frameworks of structural violence, intersectionality, and reproductive justice to situate Black women’s maternal health within broader histories of racialized medical neglect and reproductive governance. The study explores two questions: (1) What obstacles do Black women in rural Alabama face in accessing perinatal healthcare? (2) How do they navigate these barriers, and what strategies do they employ? A mixed-methods approach—including ethnography, quantitative analysis, and GIS—guides this research, with storytelling serving as both a methodological intervention and a challenge to dominant anthropological narratives. Findings highlight three major themes: …

Long Term Trends In The Reproductive Output And Phenology Of Three Marine Turtle Species, Jeena Prasertlum

Graduate Thesis and Dissertation post-2024

The UCF Marine Turtle Research Group (MTRG) has monitored sea turtle nesting along the Brevard County, Florida coastline for over 40 years, yielding one of the world's longest continuous sea turtle reproductive datasets. These data offer key demographic insights for conservation and species recovery assessments. Given climate change’s worsening effects, it is critical to analyze long-term trends in hatchling emergence success and phenology, which impact reproductive output, population growth, and hatchling dispersal. Here I compare the long-term reproductive output trends of loggerhead (Caretta caretta), green (Chelonia mydas), and leatherback (Dermochelys coriacea) sea turtles from …

Bridging The Digital Divide In Biomedical Healthcare: Policy Solutions For Equity In Access, Literacy, And Infrastructure, Brooke E. Turner, Emmy L. Colon Alamo

Undergraduate Scholarship and Creative Works

This paper explores the intersection of digital inequity and biomedical healthcare access in the United States, positioning the digital divide as a structural determinant of health. As telehealth and digital platforms become central to care delivery, communities lacking broadband infrastructure, digital literacy, and affordable internet access face compounded barriers to equitable healthcare. The study introduces five critical dimensions—access, availability, adequacy, acceptability, and affordability—as a framework for addressing these disparities. It proposes the Rhizomatic Digital Ecosystem Framework to guide national and local interventions, emphasizing the need for public investment in broadband expansion, digital education, and affordability programs. By treating digital access …