Physical Sciences and Mathematics Commons^™

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, …

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 …

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.

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 …

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 …

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 …

Designing A Cave Air Monitoring System: Guide And Feedback From 15 Years Of Monitoring The Cussac Cave (France), Nicolas Peyraube, Jessica D. Villanueva, Fabien Naessens, Roland Lastennet, Sylvain Mateo, Alain Denis

International Journal of Speleology

Understanding the cave’s ventilation system is important for determining how the cavity interacts with external airflow. This requires a well-designed monitoring system. This article addresses these key aspects: how to build a monitoring system for cave air parameters and how to assess the ventilation of a cave. We proposed a flowchart to help address the issues in: 1) the modularity of a monitoring system, 2) the use of “homemade device” or “ready to use device”, 3) the frequency of measure and its effect on the electrical consumption, 4) the duration of the survey, and 5) the accessibility of the recorded …

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. …

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 …

Characterizing Lava Flow Morphology And Lava Flow Dynamics: A High-Resolution Lidar And Structure From Motion Study Of The Hell’S Half Acre Lava Flow, Idaho, Rachel T. Bakowski

USF Tampa Graduate Theses and Dissertations

Basaltic lava flow eruptions can impact vast areas, profoundly altering the landscape. Although many past eruptions have gone unobserved by scientists, they often leave behind substantial deposits that preserve key elements of the eruption’s history. By studying lava textures and the overall structure of lava flows, we can reconstruct the specific conditions that occurred during the eruption and contributed to the final morphology of the lava flows. Hell’s Half Acre is a large, well-preserved basaltic lava flow in the Eastern Snake River Plain, containing a variety of significant geological features resulting from its distinctive eruption history. This thesis examines a …

Llms In Network Intrusion Detection – A Comprehensive Analysis, Sudharshan Balaji

USF Tampa Graduate Theses and Dissertations

Network Intrusion Detection Systems (NIDS) play a critical role in identifying and mitigating malicious activities within computer networks. With the rapid evolution of natural language processing (NLP), Large Language Models (LLMs) have emerged as transformative tools across various domains. LLMs, such as OpenAI’s GPT series and Meta’s LLaMA models,have demonstrated remarkable performance in tasks like language generation, reasoning, and classification. Their ability to understand and process vast amounts of data has enabled groundbreaking advancements in areas like healthcare, finance, and cybersecurity. Recent trends highlight their potential to handle unstructured data, perform complex reasoning, and adapt to a wide range of …

The Integrated Monitoring Of Karst Systems (Miks) Model, Applied In Karst Studies In Bulgaria, Petar Stefanov, Dilyana Stefanova, Peter Nojarov

International Journal of Speleology

Karst is a widespread natural phenomenon that is highly sensitive and very vulnerable to both natural and various anthropogenic impacts. This is due to the complex structure of karst territories, which comprise both surface forms and complex systems of underground cavities. Therefore, the study of karst requires a geosystem approach and integrated monitoring, which gives a real idea of the state of karst geosystems and the impacts of global changes on karstogenesis. The article presents a model of this approach, which is applied in karst studies in Bulgaria. The methodological basis is the original ProKARSTerra paradigm, based on the geosystem …

The Affordable Diy Mandeye Lidar System For Surveying Caves, And How To Convert 3d Clouds Into Traditional Cave Ground Plans And Extended Profiles, Loris Redovniković, Antun Jakopec, Janusz Będkowski, Jurica Jagetić

International Journal of Speleology

The paper examines the potential use of low-cost LiDAR for cave surveying. Mobile mapping using LiDAR complements traditional speleological surveying using a polygonal traverse. These methods assist each other, with one serving as an independent control measurement for the other, ultimately resulting in a more accurate 3D model. The testing results show that achieving high accuracy and detailed cave representation is possible using open hardware and open-source software. Both spacious and well-indented cave sections and narrow passages barely passable by humans were successfully mapped. The surveying process is significantly faster than traditional cave mapping, as drawing cave sketches by hand …

Usf St. Petersburg Campus Water Refill Station Inventory Appendix A, Haley Mcgehee, Carolyn Mazur, Mohammad Shafayet H. Khan, Theresa G. Burress

Student Green Energy Fund (SGEF) Water Refill Stations

Appendix supporting University of South Florida St. Petersburg Campus Water Refill Station dataset with reference images by location.

Usf St. Petersburg Campus Water Refill Station Inventory, Haley Mcgehee, Carolyn Mazur, Mohammad Shafeyet H. Khan, Theresa G. Burress

Student Green Energy Fund (SGEF) Water Refill Stations

Data inventory of University of South Florida St. Petersburg Campus water refill stations, accounting for presence of Elkay water refill stations, ticker numbers for bottles saved by its use, location descriptors, etc.

Usf St. Petersburg Campus Water Refill Station Inventory Readme, Carolyn Mazur, Theresa G. Burress

Student Green Energy Fund (SGEF) Water Refill Stations

ReadMe file supporting the University of South Florida St. Petersburg Campus Water Refill Station dataset.

Teaching Agroecology Through Play: A Board Game On Companion Planting Using Agroecological Principles, Ashmita Das, Julie Capito-Hernandez, Estelí Jiménez-Soto

School of Geosciences Faculty and Staff Publications

Board games themed around environmental topics are promising tools for promoting awareness of complex sustainability issues, as the materiality, sociality, and multidimensionality of gameplay can help overcome some of the inherent limitations of more traditional learning formats. To explore the potential relevance of board games for communicating about agrifood system topics in particular, we designed and tested a game called Companion: An Agroecological Adventure, in which players take on the role of community gardeners who must apply both social and ecological principles of agroecology to cultivate a thriving garden plot. In this paper, we present the results of a study …

Food Sovereignty Among Migrant Farmworkers: The Role Of Agrobiodiversity For Autonomy And Resistance In A Mexican Coffee Plantation, Estelí Jiménez-Soto, Sanya Cowal, April Lopez

School of Geosciences Faculty and Staff Publications

Coffee agroecosystems represent the economic base for thousands of small growers and agricultural workers, as well as a significant proportion of many regional economies in Latin America. Every year, the production of coffee in this region attracts a great number of laborers and their families, particularly during the harvest season. Despite being essential workers in the food system, agricultural workers continue to be one of the most marginalized actors in the coffee production chain. Even with an environment of precarity, agricultural workers exercise their autonomy and food sovereignty—the process by which agricultural workers, in this case, define their food system …

Fewer Wetlands, More Drainage: Forensic Mapping Of Wetland Loss And Drainage Alteration Illustrates The Hydrological Transformation Of Coastal Watersheds, Kai C. Rains, Seanacy A. Lawlor, Edgar J. Guerron-Orejuela, Shawn M. Landry, W J. Kleindl, Mark C. Rains

School of Geosciences Faculty and Staff Publications

Land use-land cover (LULC) change is widely implicated in coastal water quality degradation, but we often lack understanding of how LULC change has varied spatiotemporally because so much change occurred before the advent of modern mapping. In this study, we overcome this challenge by using forensic mapping techniques of LULC change over the past 175 years in coastal watersheds on the Atlantic Coast of Florida, USA. We benchmark historical mapping products to modern mapping standards using historical products. These include maps and notes from the Public Land Survey System, military campaigns, and navigation surveys from the nineteenth century, and aerial …

Unquantifiable: The Impacts Of Len Vacher, Victor J. Ricchezza, Nathan D. Grawe

Numeracy

This article celebrates H.L. (Len) Vacher, the founding editor of Numeracy. While many readers of this journal are no doubt familiar with Len’s contributions here and to quantitative literacy as a practice and habit of mind, fewer are intimately familiar with Len’s history and impacts as a professor and colleague. This paper analyzes Len's contributions to the advancement of quantitative literacy through his scholarship in the journal and through the careers of former students and colleagues at the University of South Florida. The former observations originate in interview data originally collected as part of research on Len’s computational geology course …