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Monsters, Multiplicities, And Liminal Experiences In Doctoral Education: Fabulation As Research Methodology, Anna V. Gonzalez

USF Tampa Graduate Theses and Dissertations

The purpose of this dissertation was to experiment with qualitative research methodologies while exploring the complexities of doctoral education, research practices, philosophies of inquiry, and other topics intersecting with(in) educational scholarship. My vision for this work was fueled by postmodernist critiques of humanist education, frustrations with the methodological status quo pervasive in educational research, and deep concerns about the unsustainability of performance-focused teaching and learning.

The logic I follow in this project is simple: if we—researchers and academics—are to contribute solutions for challenges and ongoing crises in our world, then we must start thinking relationally and in ways more complex …

Performance And Trihalomethane Formation Potential Of Alternative Electron Donors For Wastewater Denitrification, Bruno Fulco Mancini

USF Tampa Graduate Theses and Dissertations

Nitrogen removal from wastewater is critical to preserve ecosystems, as well as human health and welfare. Excess nutrients in receiving waters can cause many problems to the environment, such as algal blooms, drinking water contamination, and economic losses. Nitrogen removal in wastewater occurs mainly through the oxidation and reduction processes of nitrification and denitrification, which occur in engineered systems at wastewater treatment plants or water reclamation facilities.

The site for this research was the South Cross Bayou (SCB) Water Reclamation Facility, located in Pinellas County, FL, USA. At SCB, nitrogen is removed through a Modified Ludzak-Ettinger (MLE) process with the …

Seasonal And Interannual Abundance, Distribution, And Carbon Production Estimates In The Northeastern Gulf Of Mexico Using The Sipper Camera Imaging System, Carlyn Scott

USF Tampa Graduate Theses and Dissertations

Larvaceans are filter-feeding gelatinous zooplankton whose contributions to marine biogeochemical processes are poorly constrained. By frequently shedding their particle-rich houses and producing dense fecal pellets, larvaceans contribute large amounts of particulate organic matter to deeper waters and to the sea floor. Despite their importance, little is known about larvacean abundance, distribution, and carbon production in the highly productive northeastern Gulf of Mexico (NEGOM). To address this gap in knowledge, we collected images of larvaceans at discrete depths in the upper 300 m of the water column between August 2010 –2014 using the Shadowed Image Particle Profiling and Evaluation Recorder (SIPPER) …

Analysis Of The Impact Of Pavement Characteristics On Road Traffic Safety And Pavement Management Using Statistical Heterogeneity Models, Huiqing Lyu

USF Tampa Graduate Theses and Dissertations

Pavement shall accommodate current and predicted traffic needs in a safe, durable, and cost-effective manner. Among pavement surface characteristics, pavement friction is a critical factor contributing to roadway safety, as it directly impacts a driver's ability to execute steering, braking, and acceleration maneuvers safely. Ensuring an adequate level of pavement friction is essential to minimize the skidding risk for all road users. Continuous pavement friction measurement (CPFM) has recently become a proven approach, revolutionizing safety-related pavement management and skidding crash injury prevention. Meanwhile, pavement roughness has long been linked to vehicle fuel efficiency and pavement structural degradation. Perceptions of pavement …

Life History Of Men Who Experienced Childhood Maternal Absence, Renice Obure

USF Tampa Graduate Theses and Dissertations

This dissertation project explored the impact of childhood maternal absence on the life history outcomes of adult men. An integrated theoretical model of developmental-evolutionary framework was developed to guide research design and conduct. This model combined sex-differentiated life history framework and fathering resource theory. The study consisted of three components: a scoping review of 29 relevant studies conducted in the United States between 1990-2023, a quantitative analysis of the National Longitudinal Study of Adolescent and Adult Health (Add Health) waves I and IV (n=6932), and a qualitative analysis of in-depth interviews with a sample of 22 fathers who experienced childhood …

Navigating Change: Youth Civic Engagement At Tampa Heights Junior Civic Association, Alex R. Whitacre

USF Tampa Graduate Theses and Dissertations

This study examines the impact of gentrification on the Tampa Heights community in Florida, focusing on the role of Tampa Heights Junior Civic Association (THJCA) in fostering civic engagement and youth empowerment amidst urban transformation. Using a mixed-methods ethnographic approach, including participant observation, archival review, spatial analysis, surveys, and interviews, the research investigates how THJCA affiliates conceptualize and respond to gentrification, space, and community change. Employing urban place theories and social capital frameworks, the research challenges deficit-oriented narratives in examining the experiences of current and former residents, the effects of gentrification on youth educational services, and THJCA's strategies for maintaining …

A Contexted Learning Experience: Instructional Strategies For Effective Teaching For Primary And Intermediate Students From Diverse Ses Environments, R. Suzanne Legg

USF Tampa Graduate Theses and Dissertations

The aim of my three-article dissertation was to investigate the methods employed by effective teachers to promote academic progress among all students, regardless of their socioeconomic status. Each article addressed perspectives on effective teaching strategies aimed at closing the opportunity gap from three different contexts. These contexts were 1) a focus group consisting of primary teachers, 2) a focus group consisting of intermediate teachers, and 3) personal reflections from observations of both focus groups pertaining to COVID-19. Recent scores from the Programme for International Student Assessment (OECD, 2023) revealed a growing disparity in academic achievement between students from higher socioeconomic …

Stochastic Predictive Modeling Of Social Media Stocks And Reliability Of Hard Disk Drives, Sameer Anand

USF Tampa Graduate Theses and Dissertations

In recent years, social media has emerged as a highly appealing investment sector due to its substantial returns. Our research focuses on creating a predictive model for the financial performance of social media companies. We gathered data from five companies in the S&P 500: Meta, Etsy, Match, Pinterest, and Alphabet. We developed a non-linear, data-driven stochastic analytical model that employs real data, incorporating six financial indicators and four economic indicators, to forecast the weekly closing prices of these social media companies with an accuracy of 94.7%. Additionally, we ranked the statistically significant indicators and their interactions based on their percentage …

Improving College Students’ Attention Retention With A Brain-Controlled Drone Simulation, Ji Won Bae

USF Tampa Graduate Theses and Dissertations

In contemporary society, individuals are continuously exposed to a plethora of stimuli, which can precipitate distractions and impede cognitive performance in tasks such as professional work and academic studies. This investigation proposes an innovative approach aimed at enhancing attentional focus through the utilization of Brain-Computer Interfaces (BCI). BCIs represent advanced methodologies for deciphering neural activity patterns. Specifically,electroencephalography (EEG), a technique for monitoring the brain's electrical signals, serves as the foundation for BCI applications. EEG analyses reveal distinctive wave patterns indicative of states of concentration, vigilance, and cognitive engagement. Consequently, BCIs hold promise for the real-time assessment of users' attentional states. …

Robotic Multi-Object Grasping From A Pile: Techniques And Algorithms For Enhanced Dexterity, Tianze Chen

USF Tampa Graduate Theses and Dissertations

As robots become increasingly integrated into real-world applications such as warehousing, fulfillment centers, and manufacturing, the need for efficient and adaptable robotic systems grows. One of the key challenges is enabling robots to grasp multiple objects simultaneously, as this significantly boosts the efficiency of tasks like batch picking, sorting, and object transferring, reducing both time and energy consumption. This dissertation presents a comprehensive multi-object grasping (MOG) pipeline that includes pre-grasp selection, end-pose selection, grasping synergy calculation, and a data-driven model for estimating the number of objects being grasped. Central to this work is the development of the Experience Forest structure, …

Developing Robotic Task Planning Methods For Diverse Real-World Challenges, Md Sadman Sakib

USF Tampa Graduate Theses and Dissertations

The deployment of robotic systems across various domains has expanded significantly, with applications ranging from domestic tasks, such as cleaning and cooking, to industrial operations requiring precision and automation. These advancements highlight the critical importance of effective task planning in ensuring that robots can perform tasks safely, efficiently, and autonomously. However, task planning in robotics faces challenges related to generalization, executability, flexibility, and limitations in existing knowledge bases.

This dissertation addresses these challenges through innovative strategies aimed at enhancing robotic task planning and execution. We first focus on adapting to unknown scenarios by utilizing the Functional Object-Oriented Network (FOON) to …

Evaluating The Use Of Text Message Prompts To Increase Staff Behavior-Specific Praise In Adult Residential Care, Melissa Hernandez-Bautista

USF Tampa Graduate Theses and Dissertations

Behavior-specific praise (BSP) has been widely evaluated in school settings as an intervention to improve social interactions between teachers and students. However, minimal studies have evaluated the use of BSP outside of school settings. One area BSP might help improve is staff and client interactions in group home settings for individuals with intellectual and developmental disabilities. The current study evaluated the effectiveness of text message prompts for increasing staff-delivered BSP to improve the frequency of social interactions between staff and consumers in a group home setting. In addition, this study evaluated staff use of BSP when they received text prompts …

Multi-Sided Information Asymmetry In A Single Contract: Why Revocable Living Trusts Go To Court, James P. Wells

USF Tampa Graduate Theses and Dissertations

Revocable living trust documents (trusts) are among the most important documents created in contemporary estate planning. One of the trust’s objectives is to provide clear guidance to the trustees on how to carry out the grantor's intent. When a trust is contested in court, the objective of the trust has clearly failed. Consequently, understanding why trusts go to court and developing approaches that reduce or eliminate the number of trusts in our courts is an endeavor worthy of research and the primary objective of this research effort.

Ideally, with a clearly stated grantor’s intent and clearly executed interpretation of the …

Exploring Factors That Influence Artificial Intelligence Adoption In Banks And Credit Unions, Vijaya S. Tumma

USF Tampa Graduate Theses and Dissertations

The importance of Artificial Intelligence (AI) is exploding in the banking sector, fueled by enhanced productivity, improved efficiencies, and personalized services to the consumers. For credit unions, the adoption of AI technologies presents opportunities and challenges. This research explores the factors influencing AI adoption in the banking sector through the lens of Unified Theory of Acceptance and Use of Technology (UTAUT) framework. This study aims to explore the influence of key aspects of UTAUT model, Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) on the intention of AI adoption among credit unions, banks, and their …

Evaluating The Effectiveness Of Edge Line Sinusoidal Rumble Strips On Lane Departure Crash Prevention And Injury Severity, Shubhankar Chintamani Shindgikar

USF Tampa Graduate Theses and Dissertations

Lane departure crashes are one of the most prevalent accidents in Florida and the United States. Various forms of rumble strips have been employed to mitigate and decrease these incidents. The Florida Department of Transportation (FDOT) recently adopted a new sinusoidal rumble strip pattern for statewide implementation of audible and vibratory treatment (AVT). Recent research indicates sinusoidal rumble strips are highly effective in alerting drivers audibly and through tactile vibrations, thus aiding lane departure prevention. Moreover, they generate less external noise compared to other rumble strip textures.

However, a systematic assessment of the safety effectiveness of sinusoidal rumble strips in …

Spatiotemporal Dynamics Of Coastal Nekton Metacommunities In The Western Atlantic, Jonathan A. Peake

USF Tampa Graduate Theses and Dissertations

The processes of diversification, selection, dispersal, and stochastic drift can combine in many ways to assemble ecological communities. A key focus in ecology is to describe and quantify the relative influences of these processes for different systems and explain the mechanisms by which these processes produce patterns of community structure. To accomplish this goal, ecologists have developed several frameworks that seek to integrate processes that occur locally andregionally. The metacommunity concept treats local communities as pieces of a broader landscape that are connected through dispersal of their constituent organisms. Empirical studies have generally lagged behind the development of metacommunity theory. …

Effects Of Goal Setting, Self-Monitoring And Feedback On Physical Activity In Older Adults, Sofia O'Leary

USF Tampa Graduate Theses and Dissertations

Healthy aging can be defined as maintaining functional ability that promotes overall wellbeing as one ages. Adequate levels of physical activity in older adulthood are associated with many positive health outcomes which support healthy aging; however, most older adults do not meet the current physical activity recommendations associated with healthy aging. Generally, inadequate physical activity is associated with a variety of health risk factors including overweight and obesity, cardiovascular disease, Type 2 diabetes, and certain types of cancer. Although older adults share these same risk factors for inadequate levels of physical activity as adults, there are additional risk factors that …

An Analysis Of The Learning Activity System Of An Elementary Education Program For The Development Of Social And Emotional Competence In Preservice Teachers, Lisa Sheldon Brown

USF Tampa Graduate Theses and Dissertations

This mixed-methods descriptive case study examined how a public research university's elementary education teacher preparation program develops social and emotional competence (SEC) in preservice teachers. Using Engeström's Expansive Learning Theory framework, the study analyzed the tools and mediating artifacts within the program's learning activity system, specifically focusing on activities known to develop SEC. Through semi-structured interviews with 18 instructors and comprehensive document analysis, the study found that SEC development is extensively integrated throughout the program's coursework and field experiences. Three primary types of SEC development activities were identified: self-reflection/self-awareness, active listening, and collaboration. The study revealed a significant correlation between …

Electrochemical Copper Printing For Wearable Electronics, Nirmita Roy

USF Tampa Graduate Theses and Dissertations

Wearable electronics have become a transformative force across industries like healthcare, aerospace, and military applications. However, a significant challenge persists in directly integrating electronic circuits onto fabrics. Addressing this challenge, the aim of this research is to introduce a novel sequential manufacturing process. Initially, a fabric is coated with a customized ink containing lignin, establishing a conductive template through laser burning. Subsequently, a localized Hydrogen Evolution Assisted (HEA) copper electroplating method is applied, resulting in a low-resistive circuit layout. Our investigations encompassed nanostructure analyses using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), Raman Spectroscopy, and Fourier Transform Infrared …

Cactus Infused Beads For Off-Flavor Mitigation In Aquaculture Systems, Rama Mahita Kambhampati

USF Tampa Graduate Theses and Dissertations

Aquaculture has become a vital component of global food production, now providing 50% of the world's fish supply. However, the industry encounters major challenges due to off-flavor compounds like Geosmin and 2-Methylisoborneol (MIB), which give fish an unpleasant earthy or musty smell. These compounds are detectable by humans at extremely low levels 0.7 parts per billion (ppb) for MIB and ten parts per trillion (ppt) for Geosmin—making them a persistent problem. Their presence not only reduces the sensory quality of aquaculture products but also results in significant economic losses, with U.S. catfish production incurring an additional $15–$23 million annually due …

Balancing Context And Clarity Through Visualizations For Better Decision-Making, Bhavana Doppalapudi

USF Tampa Graduate Theses and Dissertations

In this era of a data driven world, the effective communication of data through visualizations is pivotal for converting complex information into accurate insights. Effective visualizations not only enhance users' comprehension of complex data but also induce trust, leading to better decision-making. This dissertation explores methods to improve trust in visualizations by providing additional context and enhancing their clarity, ensuring appropriate data interpretations and better decisions from users.

The work in the dissertation begins by examining the impact of scatterplots combined with statistical metrics such as accuracy on users' trust and decision-making focused on recommender systems. In addition, we show …

Coding Connections: Exploring Relationships Between Computer Science Learning And Mathematics Achievement In Secondary Education, Bradley Hayes

USF Tampa Graduate Theses and Dissertations

This dissertation in practice explores the intersection of computer science education, specifically computational thinking and programming, with mathematics achievement among 15-year-old students in selected English-speaking countries. The research addresses a gap in understanding whether skills developed through computer science can positively influence mathematics performance by assessing the extent to which learning in computer science transfers to mathematics.

To achieve this, a quantitative methodology was employed, incorporating pilot study data from a single school and large-scale survey data from the Programme for International Student Assessment (PISA) 2022. The analysis assessed the correlation between regular participation in programming activities and mathematics attainment, …

Implementing Acceptance And Commitment Therapy To Reduce Caregiver Stress And Enhance Procedural Fidelity For Families Affected By Autism Spectrum Disorder, Casey K. Marsh

USF Tampa Graduate Theses and Dissertations

The rate of children diagnosed with autism spectrum disorder (ASD) is increasing each year (CDC, 2022). Although the severity of symptoms is specific to individuals, the families of those diagnosed are often also affected in a variety of ways. Caregivers of children with ASD experience higher rates of depression, anxiety, and stress. The purpose of this paper is to examine the effects of Acceptance and Commitment Therapy (ACT) on caregiver stress and procedural fidelity. Three caregivers of children with ASD were trained using an ACT curriculum and caregiver stress was measured using two self-report scales, before and after six ACT …

Analyzing And Extending Machine Learning Frameworks On High Risk Domains, Chengbin Hu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) has become a transformative force in high-risk domains such as genomics and cybersecurity, where accurate predictions and robust defenses are essential. This dissertation advances ML frameworks in these areas by developing methods to enhance predictive power in health applications and assess vulnerabilities in machine learning systems.

In the genomics field, the work addresses challenges in Non-Invasive Prenatal Testing (NIPT) of monogenic disorders by proposing a deep learning model that reconstructs the fetal genome using maternal plasma cell-free DNA (cfDNA) and parental whole-genome sequencing (WGS) data. This model achieves high accuracy in single nucleotide variation (SNV) prediction, surpassing …

Detecting Changes In Cancer-Related Cognitive Functioning Using Mixed-Effects Modeling And Study Design Simulations, Jonathan D. Clapp

USF Tampa Graduate Theses and Dissertations

The purpose of this dissertation is to utilize and compare two existing approaches for modeling nonlinear change in cognitive functioning in cancer patients over time and to assess alternative study designs to better capture chemotherapy-related cognitive impairment using simulation data. Using data from the Thinking and Living with Cancer study, trend analysis with orthogonal polynomials (OP) and piecewise (PW) regressions approaches used to analyze cognitive functioning trajectories. Simulated datasets tested the impact of study design parameters including measurement test-retest reliability (.6 or .8), sample size (100, 200, or 300), and the number of data collection time points (4 or 5) …

Quality Assurance Of Cast-In-Place Foundation Elements, Tristen Mee

USF Tampa Graduate Theses and Dissertations

Construction of cast-in-place concrete deep foundation elements is a common practice, yet performed almost entirely blind, leaving uncertainty in the quality of the as-built, below-ground element. This dissertation focuses on three quality assurance aspects of cast-in-place foundations: an automated concrete tracking system for drilled shafts, an alternate approach to identifying if mass concrete conditions exist in cast-in-place foundations, and as-built auger cast pile grout volume determination.

The volume of concrete in a drilled shaft is relatively easy to track on a truck-by-truck basis, as well as the height of the rising concrete per truck. However, a more detailed volume distribution …

Precursors To Student Burnout Through A Person-Environment Fit Lens, Kenny Le

USF Tampa Graduate Theses and Dissertations

Burnout has been shown to be a pressing mental health outcome across populations, and this phenomenon has received more recent attention in young adult and student populations with increasing evidence mirroring what has previously been found in workplace research. However, the current research has not yet developed a theoretical model towards student burnout specifically, and the existing multidimensional theory of burnout does not capture precursors towards the first stages of the syndrome. The current study uses the person-environment (P-E) fit as a framework to identify relevant environmental and individual factors, as research has suggested perceived environmental fit is associated with …

Control Of Multiagent Networks With Misbehaving Nodes, Emre Yildirim

USF Tampa Graduate Theses and Dissertations

The overarching objective of this dissertation is to introduce system theoretical frameworks in control of misbehaving multiagent networks subject to limited resources (i.e., limited number of driver nodes), and the presence of disturbances and/or uncertainties (i.e., misbehaving nodes). Below, we briefly summarize each problem studied in this dissertation with their proposed solutions.

Specifically, we first consider multiagent networks subject to misbehaving nodes over fixed undirected graph topologies. To address this problem, we apply proportional-integral control signals to a subset of nodes (i.e., driver nodes) in the network to address the undesired effects arising from misbehaving nodes. Since multiagent networks with …

Examining Emergency Remote Teaching And Undergraduate Academic Outcomes During The Pandemic, Melissa S. Ramge

USF Tampa Graduate Theses and Dissertations

The COVID-19 pandemic represented an extraordinary public health emergency, leading to the most profound disruption to education systems in modern history. As higher education institutions expand their post-pandemic online course catalogs, it is necessary first to explore the student outcomes and student perceptions of learning related to the pandemic. This study used an explanatory sequential mixed methods research design to assess the relationship between the COVID-19 pandemic and students’ perceptions of online learning. The purpose of the study was to examine what, if any, trends in undergraduate student course grades and student perceptions of the instruction occurred coincident with the …

Telu Activation Function For Fast And Stable Deep Learning, Alfredo Fernandez

USF Tampa Graduate Theses and Dissertations

We propose the Hyperbolic Tangent Exponential Linear Unit (TeLU), a neural network hidden activation function defined as $TeLU(x)=x \cdot tanh(e^x)$. TeLU’s design is grounded in the core principles of key activation functions, achieving strong convergence by closely approximating the identity function in its active region while effectively mitigating the vanishing gradient problem in its saturating region. Its simple formulation enhances computational efficiency, leading to improvements in scalability and convergence speed. Unlike many modern activation functions, TeLU seamlessly combines the simplicity and effectiveness of ReLU with the smoothness and analytic properties essential for learning stability in deep neural networks. TeLU’s ability …