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“In My Blood”: External Factors For International Stem Postdoctoral Scholars’ Career Decisions, Kathryn J. Watson, Sylvia L. Mendez

Journal of Global Education and Research

This instrumental case study (Stake, 1995) explores the external factors that influence international science, technology, engineering, and mathematics (STEM) postdoctoral scholars in the United States to pursue a career in STEM. Interviews with 20 international STEM postdoctoral scholars were analyzed deductively to shed light on their unique backgrounds and experiences. Three themes emerged: (a) parents were highly encouraging, (b) a love of science was nurtured in school, and (c) they were eager to engage in and promote scientific innovation. These findings illustrate the ways in which family, schools, and community influence the STEM career trajectories of international postdoctoral scholars.

The Relationship Between Physical Activity Level, Digital Game Addiction, And Academic Success Levels Of University Students, Aydin Ilhan

Journal of Global Education and Research

This study examined the relationship between physical activity, digital game addiction, and academic success among university students. Participants were university 704 students from Turkiye who did physical activity and played digital games. The sample group consisted of 704 university students (342 women and 362 men), selected through random sampling. Data were collected using demographic information forms, a digital game addiction scale, and an international short-form questionnaire about physical activity. The data were analyzed using Pearson correlation, t-tests, one-way ANOVA, and post-hoc tests. The findings revealed a significant negative relationship between academic success and both physical activity and digital game …

Teachers' And School Directors' Perceptions Of The Benefits Of Arts-Integrated Instruction K-2: Before, During, And After Covid-19, Alison H. Mehler

USF Tampa Graduate Theses and Dissertations

The purpose of this study is to explore the experiences and perceptions of teachers who use arts-integrated instruction and their directors of K-2 students before, during, and after the unique period of online instruction during the COVID-19 pandemic, which began in March of 2020. Arts integration is a method of teaching in which students are taught comprehension of subject areas (i.e. – math, science, reading, social studies) through art forms. These art forms include music, theatre, dance, art, and writing. I collected he qualitative data for this research through virtual interviews with five female participants. I transcribed these interviews and …

3d Organ-Scale Models Of Tumor Growth And Treatment, Rafael Ramon Bravo

USF Tampa Graduate Theses and Dissertations

To understand the dynamics of cancer, mathematical oncologists have developed models of tumor growth and treatment response. Some models are mechanistic and approach tumor growth at the cell-scale, focusing on the evolution of cancerous cells within the ecology of normal tissue, and are often simulated with agent-based modeling. Other models are more clinically motivated and model tumor growth operating at the organ-scale, using patient data to predict treatment response, and are often simulated with partial differential equations. We developed the Hybrid Automata Library which includes both agent-based modeling and partial differential equations for modeling at either of these scales. We …

Bayesian Analysis Of Hospital Service Quality: Pre- And Post-Covid, Ling Hu

USF Tampa Graduate Theses and Dissertations

The hospital sector is the largest revenue-generating industry in the United States, with a revenue of $1.4 trillion in 2022, accounting for 5.8% of the U.S. GDP. Its service quality profoundly impacts societal welfare, especially given the aging population reached 55.8 million in 2020 and is expected to reach 82 million by 2050. Therefore, multiple policies aim to incentivize sustained healthcare service quality improvements. As an integral component of the Hospital Value-Based Purchasing (HVBP) Program, the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, administrated by the Centers for Medicare and Medicaid Services (CMS), serves as a cornerstone …

The Influence Of Recycled Water On Microbial Source Tracking Techniques That Aim To Identify Untreated Sewage In Surface Waters, Aldo E. Lobos

USF Tampa Graduate Theses and Dissertations

Fecal pollution in recreational waters can introduce pathogens that cause increased human health risk, where exposure can occur during recreational activities such as swimming, diving, surfing, and fishing. Furthermore, human fecal pollution (i.e., sewage) can introduce nutrients and other harmful chemicals that may negatively affect the environment and aquatic species. Generally, sewage is considered the highest risk to human health compared to animal fecal pollution because it typically contains a high diversity of pathogens (including human specific viruses), antibiotic resistant bacteria and genes associated with antibiotic resistance. However, pathogens are difficult to detect due to their low concentrations in the …

The Discovery Of First Ret Protac With In Vivo Activity, Yafeng Wang

USF Tampa Graduate Theses and Dissertations

This report mainly discusses the development of RET Proteolysis targeting chimera PROTAC molecules based on Selpercatinib (LOXO-292) and Sulfono-γ-AApeptide PROTAC. A PROTAC molecule is a bifunctional molecule composed of two active domains and a linker. It works by inducing selective protein intracellular degradation. This technology was first discussed by Kathleen Sakamoto, Ray Deshaies and Craig Crews in 2001. Using various E3 Ligase, such as CRBN, pVHL, beta-TrCP1, Mdm2, DCAF15, DCAF16, RNF114, and c-IAP1, the PROTAC technology has been applied to several novel drug development,. Yale University licensed the PROTAC technology to Arvinas in 2013–14. For my research, Chapter one summarizes …

The Application Of Multi-Isotope Analysis To Assist In Geoprofiling Unidentified Decedents Within Florida, Liotta D. Noche-Dowdy

USF Tampa Graduate Theses and Dissertations

The biochemistry of human tissues can provide information for geoprofiling (geographic birthplace or migration patterns) of an unidentified decedent. Utilizing isotope analyses (both stable and radiogenic) from teeth, bone, nails, and/or hair reveals specific isotopic information that correlates to diverse geographic regions reflecting an individual’s birthplace and migration patterns. Isotope analysis of enamel and bone has been employed in bioarchaeology for decades to reconstruct the diet, health, and migration patterns of past populations. Isotope ratios measured from enamel can then be compared to isotope ratios measured from bone of the individual to track patterns of migration. The enamel from the …

Development Of Decision-Support Tools For Water Resources Management In Coupled Human-Natural Systems, Edgar J. Guerrón Orejuela

USF Tampa Graduate Theses and Dissertations

Water is an indispensable resource for all forms of life. Water is a cornerstone for economic development, public health, and social well-being. However, increasing water demand and challenges posed by climate change, pollution, population growth, and land use change underscore the urgent need for effective water management strategies. To address these complexities and ensure the sustainable use of water resources, it is imperative to adopt science-based decision-support tools. These tools leverage data, models, and analytical techniques to provide valuable insights and recommendations that guide decision-makers in formulating evidence-based policies and practices.

Effective water management requires a comprehensive understanding of the …

Local Seismic Investigations In Arizona: Analysis Of A Low-To-Moderate-Magnitude Aftershock Sequence And A Pilot Study Of Monsoon-Driven Flash Floods, Kathryn Margo Dorn

USF Tampa Graduate Theses and Dissertations

Arizona encompasses a strikingly diverse array of geological terranes and physiographic terrain and consequently experiences a wide range of tectonic and meteorological phenomena, many of which generate distinctive seismic signals. For much of the past century, however, the state has largely lacked the style of dense seismic networks now prevalent in some regions of neighboring California, allowing myriad low-magnitude earthquakes and other subtle seismic sources to elude detection and characterization. In this dissertation, I utilize the high-resolution data of two temporary local seismic networks to investigate two such sources – the primarily low-magnitude but prolific aftershock sequence of the 29 …

An Inference-Centric Approach To Natural Language Processing And Cognitive Modeling, Animesh Nighojkar

USF Tampa Graduate Theses and Dissertations

Reasoning over natural text is highly nuanced, and interpretations can vary widely depending on cultural background, financial status, age, gender, or even mood. This doctoral dissertation seeks to not only mimic human reasoning behaviors but also improve the task used in natural language processing (NLP) to capture naturalistic reasoning, known as the Natural Language Inference (NLI) task. NLI involves determining whether a hypothesis is true (entailment), false (contradiction), or indeterminate (neutral) based on a given premise. Initially, we will investigate the extent to which NLP systems designed to capture semantic equivalence actually measure meaning equivalence. After establishing that they do …

The Asymmetric Total Synthesis Of Membranolide And Efforts Towards The Oxeatamides, Sean Bradley

USF Tampa Graduate Theses and Dissertations

Total synthesis is a discipline within organic chemistry that is a constant force that propels the field forward. In our lab, we have immersed ourselves within the field of total synthesis to gain access to complex natural products, perform SAR studies, as well as highlight interesting methodology. Within these endeavors, we have completed the first asymmetric synthesis of membranolide. This has allowed us to explore potential biofilm eradication in our efforts to develop novel therapeutics to combat the ESKAPE pathogens and multi-drug resistance. We have also begun to pursue the first asymmetric total synthesis of the oxeatamides. By utilizing our …

Reimagining Web Design: Empowering Agency Of Specialized Audiences Through User-Centered Heuristics, Haley Jones

USF Tampa Graduate Theses and Dissertations

This research seeks to create an alternative model for website design that interrogates standardized, linear ways of knowing and being by placing the audience at the center of the web design process. This research contributed a reimagined approach to traditional and standardized web design heuristics by considering an audience-centric methodology that was practical and applicable for web design praxis to create equitable user experiences which can empower audiences to recall their own knowledge and experience to make meaning for themselves through a reimagining of knowledge-making processes in a network of digitized information. In perceiving the rhetorical choice in design of …

Resolving Antarctic Margin Paleoceanography For Two Different Timescales And Archives, Theresa M. King

USF Tampa Graduate Theses and Dissertations

Recent decades have seen increased rates of ice mass loss from Antarctic ice sheets, through thinning of many ice shelves around the periphery of the continent. The most vulnerable are the glacial systems that are marine-terminating and grounded below sea level, a characteristic that exposes these systems to sea level rise and warming oceans. Enhanced basal melting under the influence of warm ocean water masses can lead to thinning and retreat of glaciers, and ultimately to the acceleration of grounded ice loss. To contextualize current ice mass loss and contribute to accurate model projections for future retreat scenarios, it is …

Exploring Saudi Families’ Engagement In The Us Early Childhood Schools: Experiences Of Bearing The Burden, Sarah Alberaidi

USF Tampa Graduate Theses and Dissertations

A vast body of research in early childhood education has shown the positive effect of parents' engagement on children's emotional, cognitive, and social development. However, researchers identified limitations to parent involvement activities within the culturally diverse context. The purpose of this case study was to fill the literature gap in exploring how Saudi families engage in their children's early education in the United States. Within the context of sociocultural theory, Muscrit theory, family ethnothories, and mirror, window, sliding glass doors framework, this study aimed to understand the family engagement practices of three Saudi families whose children enrolled in early childhood …

Exploring Spin Dynamics Using Time-Resolved Magneto-Optic Kerr Effect Spectroscopy, Arup Barua

USF Tampa Graduate Theses and Dissertations

The interaction between light and matter plays a crucial role in numerous systems, including optoelectronicdevices such as Photodiode (PD), Laser diode (LD), LED, solar cells to even biological components like photosystem II, and potential upcoming quantum technologies. Light is absorbed or emitted usually at a scale smaller than a nanometer, with associated processes happening within attosecond to picosecond durations. It is known that in a vacuum, static magnetic fields do not affect light. On the other hand, the magnetic field or magnetization of a material affects the light that passes through or is reflected by the material. The magneto-optic effect …

Antarctic Atmosphere-Ocean-Ice Interactions During Past Warm Climates: An Ice-Proximal Perspective, Imogen Mireille Browne

USF Tampa Graduate Theses and Dissertations

Antarctica’s ice sheets contain 58 m of sea level equivalent ice and thus exert a fundamental control on global sea level on decadal to million-year timescales. Interactions between Antarctica’s ice sheets, regional atmospheric circulation, and the Southern Ocean influence ice sheet mass balance, sea ice formation, and deep water production, which regulate Earth’s climate. At present, Antarctica’s fringing ice shelves and outlet glaciers, particularly in West Antarctica, are losing mass as warm ocean waters move landward across the continental shelves, melting the underside of ice shelves and eroding glacial grounding lines. In East Antarctica, net ice mass gain is occurring …

Advances In Model Reference Adaptive Control: Exploring Gain Scheduling, Scalability, And Time-Varying Command Following, Jesse Jaramillo

USF Tampa Graduate Theses and Dissertations

Feedback control architectures are fundamental for achieving a desired response in physical systems. A robust and reliable design must account for system uncertainties and exogenous disturbances, which may arise from phenomena such as modeling approximations, nonlinearities, degraded modes of operations, wind gusts, or structural impairments. Two widely recognized methods to mitigate the negative impact of uncertainties and disturbances are robust and adaptive control architectures. Specifically, robust control designs ensure stability by considering a worst-case scenario, which can potentially lead to suboptimal performance or steady-state errors depending on the nature of the uncertainty. In contrast, adaptive control designs offer the capability …

From Graph Theory For Robust Deep Networks To Graph Learning For Multimodal Cancer Analysis, Asim Waqas

USF Tampa Graduate Theses and Dissertations

This dissertation explores the intersection of graph theory and deep learning, focusing on enhancing the robustness of deep neural networks (DNNs) and applying these advancements to complex problems like cancer diagnosis and treatment. We investigate the structural properties of graphs and their influence on neural network performance, particularly in multimodal learning. The work delves into the design space of DNN architectures using graph-theoretic measures, transforming graphs into DNN architectures for various tasks, and examining their robustness against noise and adversarial attacks. The study extends to medical imaging, highlighting advanced DNN architectures like U-Net for brain tumor segmentation. It addresses the …

Investigation Of The Use Of Recycled Concrete Aggregates In Porous Asphalt Mixture, Asad Elmagarhe

USF Tampa Graduate Theses and Dissertations

This study aims to address the national need for using recycled concrete in road pavements. This is especially important in the governmental and corporate sectors, where reducing the cost and carbon footprint of construction projects is a priority. The long-term goal is to meet the public demand for environmentally friendly infrastructure and minimize the harmful effects of waste disposal on humans and the environment.

The project focuses on using recycled concrete aggregate (RCA) in porous asphalt pavement to reduce stormwater runoff, a popular environmentally friendly road design. However, compared to regular dense asphalt mixtures, porous asphalt mixtures (PAM) are more …

Optimizing Cybersecurity Operations Using Data-Driven Intelligence, Jalal Ghadermazi

USF Tampa Graduate Theses and Dissertations

Cybersecurity operations centers (CSOCs) play a crucial role in safeguarding organizations from cyber threats. CSOC operations are divided into two main areas: Intrusion detection systems (IDS) and security response team (SRT) operations. Machine learning (ML) and deep learning (DL) advancements have significantly improved IDSs. IDS can be either flow-based, suitable for offline analysis, or packet-based, which analyze traffic in real-time. However, packet-based IDS often treat packets independently, ignoring the sequential nature of network communication. Additionally, recent ML/DL approaches also struggle with capturing global and structural information and novel attack detection due to their reliance on labeled data. The SRT within …

Transforming Organizational Cyber Security With Artificial Intelligence And Data-Driven Optimization, Soumyadeep Hore

USF Tampa Graduate Theses and Dissertations

This dissertation presents a comprehensive framework for enhancing organizational cybersecurity through data-driven intelligence. The research integrates multiple methodologies to tackle challenges in network intrusion detection and vulnerability management within cybersecurity operations centers (CSOCs). First, the research investigates vulnerability prioritization and mitigation techniques currently employed by CSOCs. To further streamline the vulnerability prioritization and mitigation process a machine learning (ML)-based Vulnerability Priority Scoring System (VPSS) is introduced, significantly improving the prioritization and mitigation of context-sensitive vulnerabilities. The VPSS outperforms traditional methods, reducing the cumulative vulnerability exposure score by up to 30% by considering both organizational context and vulnerability severity. Next, the …

Gender Role Depictions In Arabic Children’S Picture Books, Aljawharah A. Almuqbil

USF Tampa Graduate Theses and Dissertations

This study aimed to explore gender role depictions in children's Arabic picture books. The importance of this study emerged from its focus on young children, where the concept of gender begins to be constructed. This study provided insight into the nature of gender roles in children’s picture books, especially under the remarkable changes that Saudi society is witnessing and the lack of Arab studies in this area. Social cognitive theory, gender schema theory, and critical literacy pedagogy guided the study. A sample of 26 picture books was selected from the Child Book Club at King Abdulaziz Public Library and analyzed …

Mathematical Modeling Of Tumor Response Dynamics To Predict Progression-Free Survival In Patients With Recurrent High-Grade Glioma, Daniel James Glazar

USF Tampa Graduate Theses and Dissertations

In this dissertation, I aim to develop a mathematical model describing tumor volume response dynamics to perform individual dynamic predictions of progression-free survival (PFS) on patients with recurrent high-grade glioma (rHGG).

Patients with rHGG have a dismal prognosis with median overall survival (OS) of <12 months and median PFS of <7 months. However, there is a wide heterogeneity in treatment responses. Therefore, to aid clinicians with making decisions to alter therapeutic protocol, I would like to predict patient-specific PFS.

To perform individual dynamic predictions, I employ the Claret tumor growth inhibition (TGI) model. I further develop this model by coupling it with two different survival models. Inter-patient heterogeneity is also taken into account through mixed effects, including covariate effects. Model PFS predictions were evaluated using receiver operating characteristic (ROC) curve analysis as well as Brier …

Stochastic Analytical Predictive Models For Life Sciences And Crop Production Process, Erasmus Tetteh-Bator

USF Tampa Graduate Theses and Dissertations

Analytical predictive modeling uses algorithm-based mathematical, probabilistic and statistical methods to anticipate future events by identifying patterns in past data. It is a technique for predicting outcomes and a key application of statistical analysis in real-world scenarios. Real data-driven predictive models in various fields, such as life sciences, economics,or production industry, help individuals and institutions make data-driven informed decisions, which is essential for business success, providing companies with a competitive edge.

One of every five adult deaths is caused by heart disease and one person dies every 33 from cardiovascular disease in the United States according to the Center for …

A Robust Data-Driven Framework For Artificial Intelligent Systems, Quoc H. Nguyen

USF Tampa Graduate Theses and Dissertations

Artificial Intelligence (AI) systems have demonstrated remarkable performance across various domains. However, their robustness remains a critical concern, particularly in terms of data and model reliability. This dissertation aims to address the challenges associated with building robust AI systems by focusing on two key aspects: data robustness and model robustness. Data robustness poses significant challenges, including data shift, concept shifting, limited and imbalanced datasets, and interoperability issues in IoT systems for data collection. Existing methods fall short in handling dynamic business objectives and evolving data landscapes effectively. To bridge these gaps, we propose an IoT framework that ensures interoperability, seamless …

Black Holes In Time: The Effect Of Grid Radiation On The Tumor Immune Microenvironment, Rebecca A. Bekker

USF Tampa Graduate Theses and Dissertations

Tumor-immune interactions shape a developing tumor and its tumor immune microenvironment (TIME) resulting in either well-infiltrated, immunologically inflamed ‘hot’ tumor beds, or ‘cold’ immune deserts with low levels of infiltration. The pre-treatment immune state of the TIME is associated with treatment outcome; immunologically hot tumors generally exhibit better responses to radio- and immunotherapy than cold tumors. However, radiotherapy is known to induce opposing immunological consequences, resulting in both immunostimulatory and inhibitory responses. In fact, it is thought that the radiation induced tumoricidal immune response is curtailed by subsequent applications of radiation. Thus, I hypothesize that spatially fractionated radiotherapy (SFRT), administered …

Model-Based Systems Engineering For Engineering Education Systems Simulation, Pallavi Singh

USF Tampa Graduate Theses and Dissertations

As the engineering education system continuously evolves to meet the demands of modern industry and society, there is a need for a methodology that would manage and resolve the complexities inherent in engineering educational systems. Model-based Systems Engineering (MBSE) is a structured approach to system design that utilizes models across all stages of the system's life cycle and supports requirements management, design, analysis, verification, and validation processes. While MBSE has been applied successfully in industries like defense, aerospace, and automotive, its application in engineering educational systems remains unexplored. This dissertation develops a dynamic model of the university-level engineering education system …

Modeling The Development Of Borderline Personality Disorder: A Formal Theory Approach, Alexandria M. Choate

USF Tampa Graduate Theses and Dissertations

Borderline personality disorder (BPD) is a complex disorder characterized by instabilities in emotion regulation, impulse control, and interpersonal relationships. BPD affects adolescent and adult populations at similar rates, with traits often detectable in late childhood or early adolescence. Despite some progress in the understanding of BPD and its development, contemporary theories have yet to address several important questions in the literature. The present study suggests that many limitations associated with current theoretical models of BPD may be attributable to an overdependence on verbally specified, or weak theories. In most cases, weak theories are constructed using vague or imprecisely defined hypotheses …

Anonymized Identity Recognition And Classification Using Privacy Preserving Facial Encoding, Manas Sanjay Pakalapati

USF Tampa Graduate Theses and Dissertations

The need for sharing large-scale datasets to train deep neural network models, particularly in healthcare, raises significant data security and privacy concerns. To address these issues, methods such as data encryption or encoding are utilized. These techniques can encrypt the data and make it unreadable to humans, while still retaining its usefulness for training models.

In this study, we investigate various image encoding techniques designed to protect privacy by making images unrecognizable while still retaining their usefulness for model training. Our investigation utilized publicly available facial databases and focused on evaluating the trade-offs inherent in image encoding techniques, with a …