Digital Commons Network^™

Evaluating The Protective Role Of Epo-R76e In Oxidative Stress-Induced Cell Death In Retinal Pigment Epithelium, Jemima Alam

USF Tampa Graduate Theses and Dissertations

Age-Related Macular Degeneration (AMD) causes dysfunction and loss of Retinal pigment epithelium (RPE). The degeneration and death of RPE cells causes irreversible visual impairment. Oxidative stress is a widely accepted triggering factor for RPE dysfunction. A hormone called Erythropoietin (EPO) is responsible to facilitate the erythropoiesis process, prevents progenitor cells from apoptosis and protects photoreceptors downregulating retinal degeneration. In this study, we aim to elucidate the role of EPO in downregulating oxidative stress in RPE. It is hypothesized that EPO will have a positive impact on suppressing oxidative stress and ferroptosis-mediated RPE degeneration due to its vital role in apoptosis …

“We Built Our Plane As We Flew It”: Communicative Resilience In Nonprofit Organizing During The Pandemic, Evgeniya Pyatovskaya

USF Tampa Graduate Theses and Dissertations

This dissertation investigates how nonprofit organizations cultivate resilience through communication and practice during periods of disruption, focusing on the COVID-19 pandemic. Using a case study of Apex for Youth—a New York City-based nonprofit serving low-income Asian and immigrant youth—this research explores how organizational members co-constructed resilience in response to both the pandemic and rising anti-Asian hate. Guided by the Communicative Theory of Resilience (CTR) and practice theory, resilience is examined as a dynamic, relational process enacted through daily organizational life.

Data were collected through semi-structured interviews, Formative Influences Timelines (FIT), ethnographic observation, and organizational documents. Reflexive thematic analysis revealed four …

Between The Land And The Sea: Belizean Voices In Environmental Governance, Kris-An K. Hinds

USF Tampa Graduate Theses and Dissertations

Coastal communities around the world are at the epicenter of dynamic socio-environmental transformations driven by the impacts of climate change, shifting human–more-than-human environmental relationships, and the decisions made in response to these challenges. As environmental concerns intensify, the governance decisions made to address these impacts will determine the severity of the impacts and the future of affected coastal areas. In regions such as the Caribbean, Central America, and Latin America, environmental governance is complicated by uneven power dynamics, historical legacies of racialized environmental spaces, and the ongoing challenge of balancing national economic growth with environmental preservation. These transformations are not …

Argentine Diaspora In The United States: Experiences Of Recent Emigrants And Their Ties With The Homeland, Anabela Cibele Villach Vaquer

USF Tampa Graduate Theses and Dissertations

This thesis examines the Argentine diaspora settled in the United States. It analyzes both the experiences of Argentines who have migrated to the United States in the last decade and the transnational ties they develop with the home country as well as the diaspora engagement policies put in place by the Argentine State. The research addresses three key questions: What are the main characteristics of Argentine emigrants who have moved to the United States over the past decade? How do recent Argentine migrants in the United States construct and maintain their transnational ties with their country of origin? Is the …

Enhancing State-Of-The-Art Motor Imagery Classification With Reinforcement Learning, Anton Shepelev

USF Tampa Graduate Theses and Dissertations

One of the key obstacles to the rapid adoption of non-invasive Brain-Computer Interfaces (BCIs) for Motor Imagery (MI) is the low signal-to-noise ratio, and the substantial data requirements which can be mentally taxing for users. EEGNet, a compact Convolutional Neural Network (CNN), has long been considered the state-of-the-art (SOTA) for MI classification, demonstrating strong performance even with limited data. However, recent studies advocate for integrating Deep Reinforcement Learning (RL) to further enhance classification accuracy by dynamically optimizing feature extraction and decision-making processes. Despite this potential, practical implementations remain scarce due to challenges in stabilizing RL training and adapting it to …

Integrative Multi-Omics And Clinical Data Analysis For Predicting Recurrence And Survival In Uterine Cancer, Varun Sai Raigir

USF Tampa Graduate Theses and Dissertations

The prediction of uterine cancer recurrence is very important for assisting women in reducing the cancer risks and also for the growing field of personalized medicine. The primary aim of this thesis is to investigate the integration of various omics data alongside clinical and therapeutic information to predict survival in uterine cancer. The combination is very important for understanding the risk factors, including clinical aspects, genetics, and the treatment schedule, in order to prescribe the appropriate way to reduce the risk of recurrence, make clinical interactions easier, and enhance personalized patient care. This study utilizes the publicly accessible TCGA dataset, …

Volatile Organic Compound (Voc) Sensing Trend Among Novel 2d/3d Materials, Mohammad Shakhawat Hossain

USF Tampa Graduate Theses and Dissertations

Volatile Organic Compounds (VOCs) present significant health risks to both humans and animals. Long term exposure to certain VOCs belonging to certain chemical classes can cause both short- and long-term effects including nausea, damage to the central nervous system, and cancer. VOCs can be found in various everyday products like varnishes, paints, cooking items, cleaning products, nail polishes etc. Because of their ubiquitous nature, health concerns and risks regarding VOC exposure have become even more pressing. In this study, the VOC sensing capabilities and trends of novel 2D, and 3D materials (perovskite, and phthalocyanines) have been explored through electrochemical and …

Automated Data Analysis For Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry

USF Tampa Graduate Theses and Dissertations

Concussions are a prevalent and complex medical condition requiring careful clinical assessment and data-driven insights for effective management. This thesis presents the development of an automated data analysis system for concussion patient records, integrating Flutter-based desktop application development with SQL-driven data processing. The system provides a streamlined, interactive interface for clincians and researchers to upload, visualize, and analyze patient data efficiently.

The proposed solution automates data cleaning, preprocessing, and statistical analysis, ensuring robust and reliable insights into demographic, clinical, and recovery-related factors. Key analyses include sex-based differences injury mechanisms, prior head injury impact, mood disorder correlations, and time-to-treatment variations. The …

Multimodal Ai-Driven Biomarker For Early Detection Of Cancer Cachexia, Sabeen Ahmed

USF Tampa Graduate Theses and Dissertations

Cancer cachexia is a metabolic syndrome characterized by substantial skeletal muscle loss, impacting cancer patients' survival and quality of life. Despite its clinical significance, early detection remains a challenge due to the lack of standardized diagnostic criteria and the reliance on indirect markers. This work presents an AI-driven approach to enhance cachexia detection and monitoring by integrating multiple deep learning methodologies. We explore transformer architectures for time-series analysis to model sequential medical data, enabling disease prediction and progression modeling. To ensure robust and reliable decision-making in clinical settings, we explore Bayesian deep neural networks for uncertainty estimation. Additionally, we introduce …

Enhancing Ai Reliability: Probabilistic Inference And Neural Optimization, Behnam Zeinali Rizi

USF Tampa Graduate Theses and Dissertations

Deep neural networks have recently shown better performance than traditional machine learning algorithms in various applications such as computer vision, natural language processing, indoor navigation, and biomedical signal/bio-informatics data processing tasks. However, some main challenges still exist when harnessing these models for different applications. The first challenge is the performance of these methodologies for some specific types of data, such as Biomedical images, IMU measurements, and even bioinformatics data, such as genome expression. Moreover, deploying these models on mobile and IoT devices is computationally challenging. Most devices use cloud computing, where powerful deep-learning models analyze the data on a server. …

Examining Within- And Cross-Language Relationships And Quantitative Methods In Spanish-English Dual Language Learners' School Readiness Skills, Shaunacy R. Sutter

USF Tampa Graduate Theses and Dissertations

The aims of this three paper dissertation are as follows: First, to examine the cross-domain associations between school readiness skills, including oral language, literacy, and math skills, within and across languages in Spanish-English speaking DLLs in PreK. Second, to explore the cross-domain associations between oral language, literacy, and mathematics skills at varying levels of literacy and math achievement. Finally, to review the quantitative methods used in research on school readiness skills and the home and classroom contextual factors that support these skills for Spanish-English speaking DLLs in the United States over the past decade. Spanish-English speaking DLLs enter early childhood …

Exploring Corona Discharge In Electrostatic Printing For Electronics And In Other Application, Zijian Weng

USF Tampa Graduate Theses and Dissertations

The field of printed electronics (PEs) is expanding rapidly, driven by increasing market demand. According to reports, the global market for PEs is expected to reach $23 billion by 2026, with a compound annual growth rate of 18.3% from 2023 to 2028. This growth necessitates the development of innovative printing technologies that can meet these demands efficiently, delivering high-quality, high-resolution PEs suitable for applications in health, environmental monitoring, sports, aerospace, and more.

Currently, PEs manufacturing relies on two main groups of printing technologies. Contact printing methods offer high-speed production but struggle with precision, while non-contact methods provide high resolution but …

The Asset Management Optimization Engine: An Ai And Machine Learning Model Approach To Pavement Asset Management, Matt Versdahl

USF Tampa Graduate Theses and Dissertations

While state Departments of Transportation (DOT) face major funding challenges, the need to find optimal ways to preserve and maintain pavement assets remains. Asset management employs a lowest cost lifecycle method to analyze asset costs and determine the best investment strategies to preserve it throughout its lifecycle. As new technology emerges, so do opportunities to leverage it. DOTs collect a significant amount of performance data on pavement and use it to decide how to keep it in a state of good repair. The literature in this area focuses on engineering techniques applied to treatment strategies. This dissertation research focuses on …

Finding Solutions To Missed Appointments And Leveraging Virtual Technology In The Healthcare Setting, Adam R. Brown

USF Tampa Graduate Theses and Dissertations

The healthcare community faces numerous challenges concerning patients and their ability to attend appointments as scheduled. Reports indicate that annually, between 23% and 34% of appointments are missed. This challenge creates a cascading effect of wasted time, resources, and valuable appointment slots in an already strained environment. The investigation of this phenomenon is not new and has been extensively researched in the operations management literature. While numerous solutions have been proposed over the past decade, there remains a need to continually advance this research. Beyond merely recognizing missed appointments and potential modalities to alleviate this issue within the care framework, …

Awful, Yet Awe-Full: The Sublime Dystopia Of Blade Runner 2049, Charles E. Butt

USF Tampa Graduate Theses and Dissertations

Blockbuster dystopian sci-fi features stories of environmental collapse, authoritarian governments, out of control corporations, unbounded consumerism, and other awful possibilities. Scholars of science fiction broadly agree that this genre explores collective fears, anxieties, and speculations about the present and future. At the same time, film scholars have established that dystopian sci-fi cinema is compelling, and audiences respond to their effects-driven visuals, photorealistic mise-en-scene, and dramatic narratives. This creates an apparent paradox: Blockbuster cinematic aesthetics portray undesirable worlds desirably. I resolve this paradox by arguing that the worldbuilding of spectacle-driven, dystopian sci-fi cinema is Romanticized. That is, the provocative style of …

Telecollaboration As An Approach To Facilitating Intercultural Communicative Competence And Exposure To Arabic Dialects In Arabic As Foreign Language Classrooms In The Us: Exploring Teachers’ Perspectives And Practices, Reham Abuemira

USF Tampa Graduate Theses and Dissertations

The literature on foreign language education shows an increasing interest in incorporating intercultural communicative competence in the foreign language curriculum. However, making intercultural communicative competence an active component in Arabic as a foreign language curriculum in the United States has been overshadowed by a heavy emphasis placed on developing learners’ grammatical competence instead. Intercultural communicative competence has been proven to help language learners develop an awareness of their own culture and other cultures, an appreciation for both the target language and culture, and a set of necessary skills that allow them to communicate effectively and appropriately with others. Intercultural communicative …

Context And Interpretability In Affective Computing Applications, Saandeep Aathreya Sidhapur Lakshminarayan

USF Tampa Graduate Theses and Dissertations

Affective Computing (AC) is a subdomain of AI that primarily deals with recognizing and interpreting human emotions. This field inherently intersects with psychological studies, as the comprehension of human emotions and behaviors necessitates an understanding of their underlying cognitive processes. One such concepts that lends itself from psychology is context. Roughly speaking, context in AC is defined as any meta information (e.g., environment) that can be utilized to describe the interaction between a user and a model to solve a particular application (e.g., emotion recognition). This doctoral dissertation comprises of two distinct yet interconnected components (Part I and II), the …

Mindfulness In Action: A Critical Reflective Self-Study Exploring Mindfulness, Goal Attainment, And The Adult Learning And Development Experience, Michelle Yvette Catlin

USF Tampa Graduate Theses and Dissertations

Through a Critical Reflective Self-Study, this dissertation explores adult learning and development with a focus on the psychological construct of mindfulness and its role in goal attainment. The self-study places me as the subject and centers on my reflections, insights, and lessons learned through my doctoral professional development journey at a large public research university. My experience began with a research focus on mindfulness and mindfulness training for cognitive performance and adult learning and development, and later in my doctoral program, I gained further insight into the facilitation of goal attainment when I studied, practiced, and worked in university student …

Comprehensive Sensing Analysis Of Ofdm Waveform For Future Jrc And Radar Systems, Mehmet Yazgan

USF Tampa Graduate Theses and Dissertations

In today’s interconnected world, sensing is one of the indispensable parts of wireless systems.The need to optimize and diversify the use of the radio frequency spectrum has reached unprecedented importance. Cutting-edge applications, including autonomous technologies, intelligent urban systems, and advanced monitoring, require solutions that can effectively merge communication and sensing functions within limited bandwidth. Orthogonal frequency division multiplexing (OFDM) has emerged as a leading contender in this field due to its superior ability to maximize spectral usage, resilience to multipath interference, and versatile signal configuration options. Reconsidering the use of the OFDM waveform for sensing purposes is undeniably essential due …

Modeling The Pollution From Latrines In A Low- And Middle-Income Country Setting, Christopher Nenninger

USF Tampa Graduate Theses and Dissertations

Latrines are an important sanitation infrastructure that are critical to the United Nations’ effort to end open defecation and achieve the target regarding safely managed sanitation outlined in Sustainable Development Goal #6. This global effort has led to 40,000,000 new users being introduced to improved latrines each year, and this number is expected to increase as the world’s population grows. One of the drawbacks related to these new latrine additions is the potential increase in pollution from hydraulically connected latrine pits to shallow groundwater. This is especially problematic in low- and middle-income countries (LMICs), where communities are more likely to …

Fractional Calculus Approach For Learning Unknown Dynamic System, Haowei(Alice) Chen

USF Tampa Graduate Theses and Dissertations

The rapidly growing interest in data-driven modeling and fractional-order systems highlights a keychallenge in modern science and engineering: capturing long-memory effects and nonlinear behaviors in real-world dynamical processes. Conventional integer-order methods, while powerful, often overlook the history-dependent nature of many phenomena—ranging from viscoelastic materials to anomalous diffusion and hereditary feedback systems. This dissertation addresses that gap by blending fractional calculus with cutting-edge machine learning to create robust, memory-aware modeling and control frameworks.

Beginning with an extension of Dynamic Mode Decomposition (DMD) to fractional-order systems, we introduce Fractional Dynamic Mode Decomposition (F-DMD) as a data-driven tool that leverages Mittag- Leffler functions …

Applications Of Linear Discriminant Analysis In The Biomechanics Of Anterior Cruciate Ligament Injury, Taofeek Braimoh

USF Tampa Graduate Theses and Dissertations

Anterior cruciate ligament (ACL) injury is a prevalent and significant concern in sports medicine, often resulting in long-term consequences that affect quality of life. Despite advancements in medical technology, current methods for addressing the problem of ACL injuries remain inefficient, subjective, and limited in their predictive power. This study explores the potential of Linear Discriminant Analysis (LDA), a supervised machine learning (ML) technique, to improve the diagnosis and risk profiling of ACL injuries. This research aims to create an objective, effective, and precise technique for determining the risk of ACL injuries by examining key biomechanical, physical, and demographical features. The …

The Kinematics And Aerodynamics Of Freely Flying Tiny Insects, Evan J. Williams

USF Tampa Graduate Theses and Dissertations

Tiny insects are an extremely diverse set of organisms that have important engineering and economic applications. These organisms often fly and readily disperse distances that far exceed their body lengths. The mechanisms behind tiny insect flight are not well understood and present complex kinematics and unintuitive aerodynamics that depart from both fixed-winged mechanisms and larger insects. In addition, their tiny spatial and fast temporal scales make them exceedingly difficult to study, and to date, the field has relied on numerical studies and dynamic scaling. Herein, we describe three projects that significantly advanced our understanding of tiny insect flight and experimental …

Trace Detection In Complex Gas Mixtures By Feedback-Assisted Multipass Raman Scattering, Jaspreet Singh

USF Tampa Graduate Theses and Dissertations

The recent development of Raman spectroscopy as a powerful analytical tool for trace gas analysis owes much to not only advancements in modern optoelectronic tools but also to substantial research in enhancement techniques. Feedback-assisted, non-resonant, multipass cavity Raman spectroscopy stands out among various Raman enhancement methods. We effectively employed this technique to estimate the deuterium/hydrogen ratio in water vapor, to simultaneously identify and quantify multiple analytes, even at extremely low concentrations such as 20 parts-per-billion for methane (CH4), and to detect hydrogen (H2) at concentrations as low as 75 parts-per-billion. This dissertation focuses on the practical application of spontaneous Raman …

“Smart Trap”: A Portable Device For Real-Time Mosquito Capturing And Classification Using Image-Based Analysis, Fahim Rahman

USF Tampa Graduate Theses and Dissertations

Capturing mosquitoes in real-time and taking high-quality images for classification with state-of-the-art methods is not only time-consuming but also expensive. Sometimes even carefully controlled environments and experimental setups fail to capture living mosquitoes. Catching live mosquitoes is necessary to be able to study aspects of their physiology and behavior that cannot be investigated by collections of resting mosquitoes and dead specimens, and to help estimate the local population numbers. My thesis introduces a “Smart Trap”, a small portable device that can attract mosquitoes in real-time, capture them, take high-quality images with dual cameras, and store those images in the cloud. …

Distributed Repeaters For Extending The Range Of Harmonic Rf Tags, Trevor Saunders

USF Tampa Graduate Theses and Dissertations

Passive harmonic Radio Frequency (RF) tags are highly advantageous compared to theiractive counterparts due to their ability to operate effectively in environments that are cluttered or where access to the tag for battery maintenance is challenging, dangerous and/or time consuming. They are also resistant to the local oscillator (LO) phase noise in radar applications where the doppler frequency from slow moving targets is buried beneath the noise. One of the major constraints of passive harmonic RF tags, however, lies in their operating range and the significant amount of power required to overcome the conversion loss and activate the nonlinear device …

Vietnam Syndrome And The Genetic Consequences Of Agent Orange Poisoning: A Materialist Approach, Moriah M. Haley

USF Tampa Graduate Theses and Dissertations

The aim of this thesis was to propose and apply a materialist approach to “Vietnam Syndrome” found at the intersection of masculinity, disability, and state power as it manifests in modern military strategy. Through an analysis of the physical veteran body rendered infertile from Agent Orange poisoning during the Vietnam War, the material conditions of infertility are found to have threatened the hegemonic masculinity on which the military relied for its justification and continuation amongst young American men. The turn to technological warfare was intended to remedy the insufficiency of the military body, but the solution was costly and ineffective …

Exploring Religious Leaders’ Perspectives On Genetic Counseling, Testing, And Related Technologies, Kristina M. Wittenburg

USF Tampa Graduate Theses and Dissertations

Religion significantly influences healthcare decisions, including those related to genetic testing, by shaping ethical and emotional considerations. While some religious groups provide formal stances on genetic testing, others lack clear guidelines, leaving both patients and healthcare providers without consistent resources for navigating faith-informed decisions. Understanding religious leaders’ perspectives is critical to bridging this gap and supporting diverse patient needs. This study aimed to examine religious leaders’ perspectives on genetic testing, genetic counseling, in vitro fertilization (IVF), gene therapy, stem cell research, and abortion. These topics were explored to understand the role of religious beliefs in healthcare decisions, and to develop …

Synthesis, Characterization And Electrical Properties Evaluation Of Zirconium Dioxide Capacitors, Thomas P. Chandy

USF Tampa Graduate Theses and Dissertations

This thesis focuses on the fabrication and comprehensive characterization of thin-film capacitors utilizing zirconium dioxide (ZrO2) as the dielectric material, placed between aluminum electrodes. The research primarily aims to examine the impact of varying ZrO2 film thickness and the effects of post-deposition annealing on the structural, morphological, and electrical properties of the capacitors. A controlled sputtering deposition technique was employed to ensure uniform film growth, maintaining consistency in thickness and material quality across all samples.

A comprehensive set of characterization techniques was employed to analyze the capacitors. Scanning electron microscope (SEM) was used to assess surface roughness, revealing fewer defects …

In Case I Make It: An Autoethnographic Argument For Care, Space, And Utopia, Faelyn T. Cowan

USF Tampa Graduate Theses and Dissertations

Taking an autoethnographic and autotheoretical approach I examine within this project TomboloBooks’ Queer Comic Book Club. Drawing from José Esteban Mun֮oz’s ideas of queer utopia and Jen Jack Gieseking’s framework of constellations, and analyzing my own experiences, I present the Queer Comic Book Club (QCBC) as a moment of utopic queer worldmaking and argue for it’s potential as a site of alternative mental health care. Though I cannot provide here a generalizable model of book clubs as care, what I offer here is a series of possibilities, arguing for the potential of these spaces as community resources and sites of …