Digital Commons Network^™

Variation In Investment Portfolios For Identical Client Scenarios: A Study Of Portfolios Recommended By Financial Professionals, Patricia G. Wells

USF Tampa Graduate Theses and Dissertations

Using a unique set of data obtained from interviews of financial professionals, this study aimed to explore the heterogeneity among portfolios of mutual funds and exchange-traded funds recommended by financial professionals for fictional client scenarios that control for investor risk and asset allocation. First, the extent to which the revealed asset allocation matched the elicited asset allocation was examined. Next, the portfolios were examined relative to diversification within the stock and bond holdings. Portfolios were examined on the basis of hypothetical historical risk and return. Lastly, comments provided by financial professionals about their security selections and investment approach were presented. …

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 …

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 …

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 …

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 …

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 …

Do Students Notice If Institutions Require Their Faculty To Prepare For Teaching?, Adam M. Caskie

USF Tampa Graduate Theses and Dissertations

Higher Education is the gateway to a successful life, and students need their institution's support to make it to graduation. Undergraduate students have their primary academic interactions with a university through its faculty and the courses they are required to complete to earn a degree. Engagement with faculty is a key factor in student satisfaction with their institution. The extent to which faculty make time for excellent teaching and additional experiences for students is driven by the reward systems at the institutions where they research, teach, and advise.This research study investigates whether student perceptions of faculty interactions and teaching effectiveness …

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 …

Phosphoglycerate Dehydrogenase Regulated By The Mitogen-Activated Protein Kinase Pathway Is An Actionable Vulnerability In Cutaneous Melanoma, Neel Jasani

USF Tampa Graduate Theses and Dissertations

Metabolic alterations play a critical role in shaping tumor growth and development. Many metabolic enzymes are shown to play an important role in different aspects of tumor development, growth, and metastasis. One such enzyme that we are investigating in this project is the Phosphoglycerate Dehydrogenase (PHGDH). The PHGDH gene, encoding the rate-limiting enzyme of the serine synthesis pathway, is located at chromosome locus 1p12 and frequently amplified in melanoma. PHGDH is required for the proliferation of melanoma cells with chromosome 1p12 amplification. However, the role of PHGDH in chromosome 1p12 non-amplified melanoma is poorly understood. In this project, we sought …

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 …

Baseline Factors And Their Association With Refractive Error And Control In A Pediatric Randomized Clinical Trial Of Overminus Therapy For Intermittent Exotropia, Julianne L. Robinson

USF Tampa Graduate Theses and Dissertations

Intermittent exotropia (IXT) is a condition resulting in an eye deviation away from normal alignment, potentially treatable with overminus lenses. These induce accommodation of the eye, combatting the eye drifting outward. Overminus lenses may help treat IXT but also potentially worsen refractive error. Analyses aimed to find associations of baseline factors as they relate to IXT control outcomes, as well as the risk of worsening spherical equivalent refractive error (SER). One hundred ninety-six participants aged 3 to <11 treated with overminus lenses for 12 months were analyzed to explore associations between age, sex, race, ethnicity, strabismus severity, accommodative convergence/accommodation ratio (AC/A), and baseline SER with outcomes of change in SER and change in control. Analyses included outcomes for both SER and control as continuous and binary outcomes, and a secondary combined outcome. More myopic baseline refractive error and older age were associated with a worsening in SER after 12 months, -0.08 diopters (D) worsening SER per 1 year age increase (95% CI -0.13 to -0.03), and -0.30 D worsening SER per additional 1 D of myopic refractive error (95% CI -0.39 to -0.21). A larger AC/A ratio was associated with better distance control (0.11 points improvement per D of AC/A, 95% CI 0.03 to 0.19). The combined SER and control outcome showed the same factors (age, baseline refractive error, and AC/A ratio) were significantly associated with improving outcomes. Overminus lens therapy may be beneficial for some patients, but further study is needed to explore the results of these exploratory analyses.

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 …

Exploring Llm Integration And Its Influence On Agent Behavior And Productivity In Insurance Call Centers, Gerardo L. Wibmer Gonzalez

USF Tampa Graduate Theses and Dissertations

This study investigates the theoretical impacts of supportive AI tools, specifically Large Language Models (LLMs), on agent behavior and communication dynamics in call centers. While technological advancements have streamlined operations, limited research addresses the indirect ways these tools influence agent behavior. Using frameworks like context switching—the cognitive shift required when external stimuli prompt attention shifts—and the Hawthorne effect, where perceived observation modifies behavior, we examine how LLMs shape communication patterns. In call centers, this context switching occurs indirectly as agents adapt to AI note-taking features, whereas in industries like Architecture, Engineering, and Construction (AEC), automation tools prompt more immediate changes …

The Impact Of Hearing Aid User Speech On Environment Classification And Own Voice Listener Preferences, Robert Andrew Budinsky Iii

USF Tampa Graduate Theses and Dissertations

Hearing aids (HA) have improved over the past few decades with advanced signal processing, such as environment classification and background noise reduction, but are still limited by challenges related to when the user is speaking. These challenges include the potential interference a HA user’s voice has on device environment classification and the potential influence a HA has on own voice (OV) sound quality. However, the effects of OV on HA environment classification and signal processing are not well established, nor are the desired HA program settings regarding OV listening preferences. In this study, a combination of electroacoustic and behavioral methods …

The Monsters In Twentieth And Twenty-First Century Illustrated Adaptation Of Beowulf For Children And Young Adults, Johanna Katharine Burton

USF Tampa Graduate Theses and Dissertations

I examine how some authors and illustrators of children’s and young adult literature adapt the old English Beowulf, how critics receive their works, and the functions these adaptations serve. My focus is on how the interplay between the visual and verbal text modifies or amplifies the overall story as well as how theories of translation/adaptation, monster, gender, and post-colonialism provide insight and aid in analysis. My ultimate objective is to demonstrate the significance of children’s and young adult adaptations of Beowulf and how these texts contribute to a rich and varied corpus. I argue that the adapter’s social/cultural context affected …

Links, Fit, And Sacrifice: How Job Embeddedness Impacts Work Modality And Intention To Stay In Public Accounting, Maryalice C. Trussell

USF Tampa Graduate Theses and Dissertations

Historically, the public accounting profession has applied an in-person apprenticeship model to assimilate new professionals into the culture of the firm and client service profession. The COVID-19 pandemic quickly challenged this in-person apprenticeship model in early 2020 by forcing most professionals to work remotely. Initial post-pandemic research with public accountants highlighted issues related to remote work, including a lack of social bonds with coworkers, reduced organizational socialization as well as less commitment to the firm and profession. Notwithstanding the new obstacles with COVID-induced remote work, turnover and talent shortages have been persistent challenges in public accounting.

This study is the …

Ai-Enabled Methodological Frameworks To Enhance The Robustness Of Machine Learning Models In Various Domains And Dynamic Environments, Mohammad Noroozi

USF Tampa Graduate Theses and Dissertations

This dissertation explores novel approaches to address complex challenges in various domains, focusing on ensuring that machine learning (ML) models can reliably detect both the data they are trained on and unseen data. Reliable detection of unfamiliar inputs is critical for deploying models in real-world applications, where performance can degrade when faced with novel or unexpected information. Each domain addressed in this work introduces a set of contributions aimed at enhancing model performance, broadening generalization through diverse training data, and improving robustness against adversarial attacks. Three sets of contributions are presented, each encapsulated in a chapter.

One of the contributions …

Satellite-Based Mapping Of Seagrass Habitats And Coastal Wetlands In The Us Gulf Of Mexico And Florida: A Remote Sensing Approach For Environmental Conservation And Management, Luis Lizcano-Sandoval

USF Tampa Graduate Theses and Dissertations

Coastal wetlands and seagrass meadows provide multiple services to nature and human society, but their spatial and temporal changes are often not well characterized. They are habitats that are threatened by natural and human causes such as changes in water quality, urban development, pollution, and climate change, among others. Coastal ecosystems rely on water quality and sea level variability for survival, and changes in those variables and their potential effects are of concern to many coastal communities. Satellite remote sensing is a powerful tool that has been used for mapping ecosystem distribution on land and in the ocean. Satellite sensors …

On The Role Of Prediction In Streaming Hierarchical Learning, Ramy Mounir

USF Tampa Graduate Theses and Dissertations

In today's world, AI systems need to make sense of large amounts of data as it unfolds in real-time, whether it's a video from surveillance and monitoring cameras, streams of egocentric footage, or sequences in other domains such as text or audio. The ability to break these continuous data streams into meaningful events, discover nested structures, and predict what might happen next at different levels of abstraction is crucial for applications ranging from passive surveillance systems to sensory-motor autonomous learning. However, most existing models rely heavily on large, annotated datasets with fixed data distributions and offline epoch-based training, which makes …

Zooplankton Abundance, Composition, And Diversity And Associated Environmental Factors Across The Gulf Of Mexico And Along The Northwestern Coast Of Cuba, Shaniqua J. Gladney

USF Tampa Graduate Theses and Dissertations

My research focused on characterizing the zooplankton community of two regions in the Gulf of Mexico (GOM) along two transects, one across the middle of the GOM from Tuxpan, Mexico, to St. Petersburg, FL, and one along the northwestern coast of Cuba. Zooplankton bongo samples and associated environmental and physical processes were examined. These data were collected during two Center for Integrated Modeling and Analysis of Gulf Ecosystems (C-IMAGE) expeditions aboard the R/V Weatherbird II, during September 2015 (GOM) and May 2017 (Cuba). A Zooscan imaging system was used to identify and enumerate zooplankton taxa. Then zooplankton abundance, composition, and …

Enhancing Post Silicon Visibility Using Language Modelling Techniques, Nathaniel Joseph Fender

USF Tampa Graduate Theses and Dissertations

The debugging phase is a critical time in the development of a new system on chip product. Specifically, the post-silicon validation phase is one of the most important, as it allows engineers to test the behavior of a device in a real world setting. However, the issue of noisy or incomplete data is a frequent issue when attempting to debug an SoC design during this step. This thesis examines the utility of utilizing machine learning models for the purpose of repairing missing data in a system trace. We trained various models using the transformer architecture to identify missing data in …

Predicting Human Chess Moves With Large Language Models, Benjamin Kreiger

USF Tampa Graduate Theses and Dissertations

As artificial intelligence (AI) surpasses human performance in more tasks, the interest in leveraging and collaborating with this technology for greater productivity continues to grow. However, the black-box nature of current AI can make it difficult to interpret and unsuitable to perform tasks that are more complex and require human intuition. This has led to the pursuit of AI systems that can model individual behavior. Chess offers an ideal environment to explore this task due to its complexity, structure, and the abundance of data containing unique human decision-making examples. Given that a chess game can be fully represented with text, …

Optimizing Hidden Neurons In Multilayer Perceptrons With A Hybrid Feature Selection Approach For Classification Tasks, Susmitha Boyidapu

USF Tampa Graduate Theses and Dissertations

Identifying the ideal number of hidden neurons in multilayer perceptron (MLP) networks remains an ongoing challenge in the field of machine learning. Our research presents an innovative strategy to address this issue by combining data preprocessing, feature selection by a hybrid method, and a methodical approach to MLP architecture design. The extracted features through feature selection help to construct MLP architecture and implement k-fold cross-validation along with early stopping mechanism for finding optimal number of hidden neurons. Our method's key innovation is its capacity to dynamically adjust the hidden neuron count while optimizing model performance. Through iterative refinement of the …

Side-Channel Analysis Platform For A Hardware Implementation Of Fips 203 (Crystals-Kyber), Mohamed Mossad

USF Tampa Graduate Theses and Dissertations

In 2024, NIST selected the Post-Quantum Cryptography algorithm CRYSTALS-Kyber for standardization as a public-key encryption, key establishment scheme. CRYSTALS-Kyber was standardized under the Federal Information Processing Standard (FIPS), specifically FIPS 203. FIPS standards represent a set of guidelines, developed by NIST, for secure data handling in federal information systems, mandating cryptographic algorithms that protect sensitive information. This highlights the importance of identifying potential vulnerabilities in the algorithm and assessing how CRYSTALS-Kyber implementations react to hardware side channel attacks. Previous research identified several vulnerabilities in implementations of CRYSTALS-Kyber in software, which were addressed in subsequent releases. This thesis focuses on expanding …