Digital Commons Network^™

Unveiling Success: A Qualitative Exploration Of Job Offer Attainment Among International Female Master's Graduates In Technology, Anna Bahvala

USF Tampa Graduate Theses and Dissertations

This qualitative study explores the job search experiences of international female graduates from a Master of Science in Business Analytics and Information Systems (MS BAIS) program in the United States. I focus on the job search and preparation strategies that differentiate graduates, earning $100,000 and above from their peers. Using an Appreciative Inquiry framework and attribution theory as a foundation, the research examines the intersection of gender, mindset, risk-taking, negotiation skills, and self-efficacy in job attainment outcomes. Nine participants were interviewed, with data analyzed using Saldaña’s coding techniques to identify common themes and behaviors. Findings indicate that high earners demonstrated …

Topics In Knot, Quandle, And Quiver Theory, Brooke Jones

USF Tampa Graduate Theses and Dissertations

This dissertation explores the algebraic and combinatorial structures arising from the study of knot theory through the lens of quandles, their colorings, and associated quiver and ring constructions. It is organized around three central themes: the analysis of quandle coloring quivers for torus links, the development of polynomial invariants and quiver invariants for stuck knots and links, and the algebraic and graphical study of quandle rings. The first chapter begins with an introduction to relevant concepts throughout the dissertation.

In the second chapter, we classify quandle coloring quivers of torus links using dihedral quandles. We describe these quivers as weighted …

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, …

Essays On Policy Initiatives For Equitable And Fair Distribution Of Benefits Of Information Technology, Roohid Ahmed Syed

USF Tampa Graduate Theses and Dissertations

The impact of Information technology on human lives is beyond measure. Information technology has become so integral to our human lives that we can no longer undermine its societal impact. While there is ample evidence for the societal gains from digital technologies, there is evidence for the inequitable distribution of such gains across society. For example, accelerated digitization of economy has left the digital haven-nots with limited access to education, health care and employment opportunities further deepening the already existing social inequities. Furthermore, increasing implementation of algorithms has created the problem of algorithmic bias across multiple domains including hiring. Though …

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 …

Textbook Content Analysis For Statistical Content Standards For 8th-Grade Math: Commercial Publishers, Curriculum Software Supplement, And An Open Educational Resource, Matthew M. O'Brien

USF Tampa Graduate Theses and Dissertations

This dissertation examined the vertical and horizontal content analysis of statistical content within current 8th-grade mathematics instructional materials to determine the extent to which students are provided with opportunity to learn high cognitive instances and the usage of the four phases of statistical problem-solving across two commercial publishers, one open educational resource, and one curriculum software supplement. All previous analyses of statistics education content textbooks have only examined textbooks from commercial publishers or those published by national governments. The horizontal content textbook analysis investigated the textbook's background information and overall structure. The vertical content textbook analysis examined the cognitive level …

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 …

New Petrographic And Geochemical Constraints On Pre-Eruptive Storage Conditions And Their Control On Eruptive Styles In Martinique’S Recent Volcanic Systems, Abigail Martens

USF Tampa Graduate Theses and Dissertations

This dissertation investigates the volcanic systems of Martinique Island, focusing on magma storage conditions, magmatic evolution, and eruption dynamics. Chapter 3 presents a petrographic analysis of volcanic rocks from the island’s old, intermediate, and recent arcs, examining the evolution of plagioclase textures and the increasing abundance of other mineral phases, such as pyroxene, amphibole, olivine, and quartz, which provide insights into changing magmatic conditions. The main research is divided into two projects. Chapter 4 addresses the pre-eruptive storage conditions (pressure and temperature) of magmas beneath recent (<5 Ma) volcanic complexes (Morne Jacob, Piton du Carbet, Trois Îlets, Mt. Conil, and Mt. Pelée), exploring magma evolution, crystallization, and the role of lower crustal injections and flank collapses in triggering eruptions. Results reveal variable magma storage depths (<6 km), with significant temperature and pressure variations, indicating complex magmatic systems. Chapter 5 focuses on the Roches-Genty ignimbrite in southwestern Martinique, investigating its stratigraphy, geochemistry, and age using field mapping, grain size analysis, and 40Ar/39Ar dating. The study identifies two distinct sub-Plinian eruptive phases associated with the Dizac ignimbrite, with ages of 3.37 ± 0.14 Ma and 2.10 ± 0.26 Ma, providing insights into past explosive volcanic activity. Geochemical analysis confirms an andesitic composition, similar to regional volcanic systems. This dissertation enhances understanding of Martinique’s volcanic history, providing valuable insights into magmatic processes and eruption dynamics, with implications for volcanic hazard assessments in the Lesser Antilles.

Relationship Between Motivation, Requesting Accommodations, Rapport, And Adequate Progress In College Students With Disabilities During The Covid-19 Pandemic, Harold Holmes

USF Tampa Graduate Theses and Dissertations

College students with disabilities often face challenges including difficulty accessing accommodations and developing satisfactory rapport with instructors when navigating their college experience. These challenges can negatively impact their academic progress and their ability to complete their programs of study. The first purpose of this study was to describe the levels of self-efficacy, perceived control, willingness to request accommodations, instructor- student rapport, and adequate progress towards a degree among college students with disabilities. The second purpose was to determine any relationships between these variables. Undergraduate students with disabilities at a public university in the southeast region of the United States completed …

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 …

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 …

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 …

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 …

Springscape: The Nature Coast And The Making Of Modern Florida, 1820s-Present, Douglas E. Ponticos

USF Tampa Graduate Theses and Dissertations

According to an oft-repeated tale, the Florida we know today emerged as a dreamscape of tourism, retirement, and suburbanization during the second half of the twentieth century. Growth victimized nature. This dissertation deeply unsettles that story. The history of the Nature Coast exposes not just nature’s agency but its primacy in the development of modern Florida.

Using surveys, maps, census data, personal correspondence, government documents, business records, timber reports, advertising materials, and hydrological research, this dissertation follows time and water across landscapes, into the Upper Floridan Aquifer, and back out again. Each chapter explores a single landscape within the Nature …

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 …

Anhedonic Features In Effort-Related Reward Processing, Harold Alexander Rocha

USF Tampa Graduate Theses and Dissertations

Emerging evidence suggests that distinct stages of reward processing uniquely contribute to psychological traits linked to anhedonia, a core mood-disorder symptom characterized by diminished enjoyment of pleasure. However, the relationship between reward-processing stages and dispositional traits related to mood and anhedonia remains unclear. The present study investigated interindividual reward processing differences in a healthy college sample (n = 83) using self-report measures and event-related brain potentials (ERPs) indexing anticipatory and consummatory subprocesses across high- and low-effort conditions using a recently developed effort-doors task. The goal of the study was first to replicate the original ERP experimental effects of the task …

Development And Initial Validation Of The Increasing Mathematical Processes Opportunities For Vital Engagement Instrument, Joseph A. Ours

USF Tampa Graduate Theses and Dissertations

Many undergraduate students struggle to learn college level mathematics. This may be because they have not developed their mathematical processes. Mathematical processes are the habits of mind of successful mathematicians and are how one learns and subsequently applies mathematics content. Five categories of mathematical processes are problem solving, reasoning and proof, communication, connections, and representation.

Students need opportunities to develop their mathematical processes. This is the foundation of high quality mathematics instruction. Many instructors, however, lack practical knowledge on how to enact a pedagogy that provides students with opportunities to engage in mathematical processes.

The purpose of this study was …

Development Of S(Vi) And S(Iv) Chemistry: From Asymmetric Synthesis To Covalent Reactive Groups, Chuan Shan

USF Tampa Graduate Theses and Dissertations

This dissertation mainly covers the development of synthetic methodologies related to several heteroatom functional groups, including phosphonates P(V), sulfoximines S(VI), sulfonimidamides S(VI), sulfonimidoyl fluorides S(VI), and sulfinamides S(IV). The interests in these functionalities are not only out of chemistry curiosity but also due to their pharmaceutical importance indicated by the existing drug molecules that contain these functional groups. The first chapter introduced the importance of phosphonates in biochemistry and organic synthesis, also provided some essential background of our synthetic efforts. The second chapter described the phosphonate synthesis from commercially available starting materials, with the purpose to obtain heterocyclic phosphonates in …

“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. …

Using A Descriptive Analysis And Functional Analysis To Determine The Topography Of Attention For Attention-Maintained Problem Behaviors, Sarah M. Loupe

USF Tampa Graduate Theses and Dissertations

This study examined the benefits of using descriptive analysis (DA)-informed functional analysis(FA) conditions to determine the functional relationship between problem behaviors and the topography of attention maintaining them. Three male participants completed the study, ranging in age from 7-12 years. Following indirect assessments with care providers, a DA was conducted during four 15-min observations. The results of the DA were used to calculate the probability of a specific topography of attention following a problem behavior P(SR/B) and the unconditional probability of a specific topography of attention in the absence of problem behavior divided by all occurrences of that topography UP(SR-B/SR). …

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 …

Predicting Freshwater Spring Distribution Using Maxent Modeling: A Case Study In Groundwater Management Area 9 (Gma-9), Texas, Zayed Mallick

USF Tampa Graduate Theses and Dissertations

Freshwater springs are one of the most vital groundwater sources and they have been a reliable water source for mining, irrigation, drinking, and farming, particularly in hot and arid regions like Groundwater Management Area-9 (GMA-9), Texas. However, excessive groundwater extraction, climate change, and environmental degradation have created tremendous stress on the sustainability of freshwater springs and as a result, they might not be able to meet the future water demand. This study uses the Maximum Entropy (MaxEnt) model to predict the distribution of springs in GMA-9 and to identify the key topographic and climatic factors influencing their occurrence. This study …

Accretion And Accumulation Of Mangrove Soils In Clam Bay, Naples, Fl: The Impact Of Hydrological Alterations And Sea-Level Rise, Matthew C. Fairchild

USF Tampa Graduate Theses and Dissertations

The ability of mangrove soils to accrete at a rate that keeps up with the rate of sea-level rise (SLR) is widely debated, especially for soils impacted by variations in influxes of nutrients and alterations in natural flows of water from surrounding urban areas. This study aimed to evaluate the influence of SLR on mangrove soils in Clam Bay (Naples, Florida, USA), which has an extensive system of mangroves that have faced increasing human pressure in recent decades as well as SLR. Cores were collected from two different sites within Clam Bay to identify differences in soil accretion, mass accumulation, …

Efforts To Improve General Chemistry Student Success: Describing Stoichiometry Solution Patterns And Investigating Challenge Perceptions, Dianna Kim

USF Tampa Graduate Theses and Dissertations

There is a need for capable STEM graduates to fill needed STEM career gaps, particularly for people who have been historically under-represented in the STEM field (e.g., women, people of color, people of lower economic status, etc.). A course that have great impact would be General Chemistry which typically acts as a pre-requisite for manty STEM majors and careers. The efforts to be described in this thesis was conducted at a large, public doctoral granting university in the southeastern United States of America. The first effort described in this thesis explores how students solve different types of stoichiometry-based problems along …

Genetic Counseling Student Anxiety, Self-Efficacy, And Study Strategy Use For The Genetic Counseling Board Certification Exam., Teagan E. Nunnery

USF Tampa Graduate Theses and Dissertations

With a 76% pass rate for the 2024 American Board of Genetic Counseling (ABGC) certification exam, it's crucial to evaluate the study strategies used by candidates and their alignment with evidence-based practices. This study surveyed 84 genetic counseling students and graduates from 35 U.S. and Canadian training programs, focusing on demographic data, study strategy usage, anxiety, and self-efficacy. Study strategies were categorized into one of three groups: 1) active strategies, which promote recall and understanding, 2) passive strategies, and 3) hybrid, for strategies that involve both active and passive engagement as well as three metacognitive strategies: regulating learning, monitoring learning, …

Breaking Binaries: Gender Non-Conforming Lesbians And The Undercurrent Of Biopower On Dating Apps, Lily M. Connolly

USF Tampa Graduate Theses and Dissertations

This study examines how gender nonconforming lesbians experience and navigate algorithmic constraints, commodification, and self-expression on dating apps. Drawing on Michel Foucault’s concept of biopower, this study analyzes focus group discussions to argue that dating apps encode and enforce traditional gender norms. However, rather than acting solely as sites of constraint, dating apps also provide spaces where gender nonconforming lesbians creatively resist these limitations and subvert platform design to assert their politicized queer identities. This research highlights how biopower operates within digital dating platforms while also illuminating the subversive strategies users employ to reclaim agency. By situating gender nonconforming lesbian …