Digital Commons Network^™

Artificial Reefs As Management Tools, Tiff Raetzel

USF Tampa Graduate Theses and Dissertations

Artificial reefs are attractive tools for fisheries management and reef conservation, as they can host large fish biomasses, including fisheries-important species, and they may supplement natural recruitment. Prior studies have established that artificial and natural reefs differ in habitat complexity and host both taxonomically and functionally distinct assemblages. These differences may impact how the reef types respond to environmental disturbance because ecosystem stability is dependent upon habitat structure, species composition, and trophic interactions. A question of management importance is whether artificial reefs host a less- or more-sensitive suite of species than natural reefs, and whether the assemblage is conducive to …

Hurricane Evacuation: Navigating Uncertainty During Covid 19 And With Existing Communication Scales, And Considering Public And Expert Perception Of Alternative Scales, Leilani D. Paxton

USF Tampa Graduate Theses and Dissertations

This dissertation investigates the effectiveness of current hurricane warning products and communication strategies, exploring factors influencing public perception of risk and decision-making during evacuations. The study employs a mixed-methods approach, combining survey data, focus group discussions, and interviews with meteorologists and emergency managers. The first paper examines the impact of the COVID-19 pandemic on hurricane risk perception and evacuation decisions. Findings indicate that while COVID-19 concerns played a role in some individuals' decisions, particularly those with pets or concerns about shelter conditions, the majority of participants evacuated for Hurricane Ian. The study highlights the importance of providing clear, consistent, and …

Preservice Elementary Teachers’ Perceptions Of The Incorporation Of An Ecojustice Framework In An Undergraduate Stem Integration Course, Rita G. Ortiz

USF Tampa Graduate Theses and Dissertations

Environmental education across the K-12 science curriculum lacks critical examination of human and ecological relationships, particularly in relation to science, technology, engineering, and mathematics (STEM) education. While the Next Generation Science Standards include environmental topics within their disciplinary core ideas and many schools offer environmental science courses, this gap can be addressed in teacher preparation programs, particularly for those teaching younger students. Ecojustice centers on socioecological topics by addressing cultural assumptions we, as humans, live by in relation to natural systems. Ecojustice education is a critical pedagogy that engages learners about social issues related to our current ecological crisis. This …

Flexible Docking Method Development For Computer-Aided Drug Design, Luke C. Warrensford

USF Tampa Graduate Theses and Dissertations

Modern drug discovery, the process of identifying or developing novel therapeutic compounds to treat a disease, increasingly relies on computational methods to make the process faster and more efficient. One of the most useful tools in the computer-aided drug design toolbox is molecular docking, the simulation of a protein-ligand complex to determine ligand binding affinity. The results from molecular docking help inform the overall drug discovery process on which compounds have more potential to be potent inhibitors, thus saving time and resources during the later and more expensive stages of drug discovery. Two important considerations of modern docking methods are …

The Ensemble Code As A Constructed Working Memory, Jacob Zepp

USF Tampa Graduate Theses and Dissertations

This dissertation formalizes and refines a new theory of ensemble coding: the Non-Selective Transfer Model. Within this theory, ensemble codes and subsequent summary judgments are the result of representations constructed over a subset of information that is encoded into working memory. The work begins with a brief review of current ideas present within the ensemble coding literature, followed by a set of formalized descriptions of ensemble coding theories that have been proposed. A discussion of relevant theories present in the working memory literature is also provided to motivate the structure of the subsequent model. The Non-Selective Transfer Model 2 is …

Foundations Of Music Education: Creativity, Curriculum, And Terminal Degrees, Charles Edwin Patterson Iii

USF Tampa Graduate Theses and Dissertations

This collection of articles includes three concepts centered on critical areas within music education: (1) creativity and the creative personality, (2) curriculum development with a focus on orchestral string teaching, and (3) the historical evolution and current status of doctoral programs in music education in the United States. These three articles are correlated through their shared focus on enhancing the field of music education by examining the essential elements that shape practices by students, teachers, mentors, etc. Together, they explore how creativity, curriculum approaches, and advanced training programs in music education contribute to a holistic and adaptive music education framework …

Computing 2-Body Statistics On Graphics Processing Units (Gpus), Yicheng Tu, Napath Pitaksirianan

USF Patents

Disclosed are various embodiments for computing 2-body statistics on graphics processing units (GPUs). Various types of two-body statistics (2-BS) are regarded as essential components of data analysis in many scientific and computing domains. However, the quadratic complexity of these computations hinders timely processing of data. According, various embodiments of the present disclosure involve parallel algorithms for 2-BS computation on Graphics Processing Units (GPUs). Although the typical 2-BS problems can be summarized into a straightforward parallel computing pattern, traditional wisdom from (general) parallel computing often falls short in delivering the best possible performance. Therefore, various embodiments of the present disclosure involve …

“Who Am I?”: Novice Teachers Making Meaning Of Their Intersectional Teacher Identity, Kerrijo E. Ellis

USF Tampa Graduate Theses and Dissertations

The purpose of this qualitative study was to explore how marginalized and/or minoritized novice teachers make meaning of their teacher identity. An integrated theoretical framework informed this study using Hong et al.’s (2024) conceptualization of teacher identity, Crenshaw’s (1989) intersectionality, and Collins & Bilge’s (2020) definition of intersectionality. Utilizing the photovoice methodology, four focus groups were conducted with a purposeful sample of five novice teachers who identified as marginalized (i.e., gender, disability, LGBTQIA+) and/or minoritized (i.e., ethnic and/or racial minority). Using reflexive thematic analysis (Braun & Clarke, 2023), I identified three themes: (1) Why I Became a Teacher, which included …

N-Type Cdte Thin Films For Photovoltaic Applications, Wei Wang

USF Tampa Graduate Theses and Dissertations

Cadmium Telluride is widely used as a thin-film solar cell material due to its nearly ideal optical bandgap (~ 1.5eV) and its high absorption coefficient (> 104 cm-1). In the past several decades, most of the research focused on p-type CdTe solar cells. In recent years, the research on CdTe devices is mainly based on CdSexTe1-x (CST) absorbers, leading to substantial advancements in conversion efficiency, comparable to that of silicon-based solar cells. Presently, p-type polycrystalline CST/CdTe thin-film solar cells exhibit a notable efficiency of 23.1%. The state-of-art CST/CdTe solar cell has attained an almost optimal short-circuit current density (JSC) of …

Comparing National Benchmark Quantitative Literacy Paper-Based Tests Scores With Its Computer-Based Counterparts, Robert N. Prince

Numeracy

One of the effects of the COVID-19 pandemic was the rapid shift to replacing traditional, paper-based tests with their computer-based counterparts. In many cases, these new modes of delivering tests will remain in place for the foreseeable future. In South Africa, the National Benchmark Quantitative Literacy (QL) test was impelled to make this rapid shift. While test-makers attempted to ensure comparability between the computer-based and paper-based versions, some scholars have questioned the efficacy of these efforts. The International Test Commission (2005) declared that the equivalency of test scores obtained from computer-based and conventional paper-based testing should be established to ensure …

New Ichnofossil Discovery In Mallorcan Caves: Linking Ancient And Moden Bat-Ectoparasites Coporolites., Antonio Merino Juncadella, Joan J. Fornós, Antoni Mulet, Joaquin Gines

International Journal of Speleology

Bat ectoparasitic ichnofossils can be useful to elucidate microbial mediation in mineralization processes of organic material, supplying valuable information on ancient parasitology and palaeoecology, among other topics. Rod-shaped features found in Cova des Pas de Vallgornera (Mallorca, Spain) are described for the first time. They are related to an ancient bat colony inhabiting the cave in the Early Pleistocene. These micro-morphologies are cylindrical in shape with sizes of a few hundred microns in length and less than one hundred microns in diameter. They are composed by a mash of microscopic calcite particles of different sizes and shapes, lying on deposits …

Preparing Children For Kindergarten Readiness: Early Childhood Teachers’ Goals And Practices, Julie Chappell

USF Tampa Graduate Theses and Dissertations

Literature in the field of early childhood education suggests that standardization and the accountability movement in the United States has changed the way that teachers approach kindergarten, resulting in less play and more teacher-directed activities. This pedagogical shift causes challenges for early childhood educators striving to promote developmentally appropriate, play-based and child-centered approaches to learning for young children while preparing children for the expectations of kindergarten. The purpose of this qualitative study was to gain an understanding of prekindergarten teachers’ views about their role in preparing children for kindergarten. The study was guided by two research questions: How do prekindergarten …

Six-Year College Graduation Status For High School Students Participating In An Upward Bound Program, Raymond Upward Cabrera

USF Tampa Graduate Theses and Dissertations

This study examines the impact of high school academic indicators and participation in the federally funded Upward Bound program on college graduation rates for first-generation, low-income students. Specifically the extent to which participation in the federally funded TRIO Upward Bound program and related factors—high school GPA, course rigor, program involvement, gender, race, and college type—predict 6-year college graduation rates for first-generation, low-income students. Using stepwise logistic regression analysis on data of 163 students in an Upward Bound program in the Southeast, the results show that students with higher GPAs, active engagement in the program, and females were significantly more likely …

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) …

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, …

Performance Optimization And Application Of P-Type Transparent Semiconductors In The Cdte Solar Cells, Md Zahangir Alom

USF Tampa Graduate Theses and Dissertations

CdTe thin-film solar cells are one of the major interests in the solar industry for their favorable properties. For example, CdTe has a near-ideal bandgap (1.45 eV) for absorption of the solar spectrum, and a high absorption coefficient ( ̴ 105 cm-1) and can capture 99% of light with only 2 µm of film thickness. Moreover, CdTe can be doped both n and p-type. Additionally, low production costs contribute to more affordable panel prices (0.40 $/W) [1]. The highest efficiency achieved to-date for this material is 23.1% demonstrated by First Solar, which is still lower than the theoretical limit [2]. …

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 …

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 …

Understanding And Alleviating The Impact Of Convective Weather To Airfield Efficiency, Huang Feng

USF Tampa Graduate Theses and Dissertations

Extensive research in predicting annual passenger throughput at airports has been conducted, aiming at providing decision support for airport construction, aircraft procurement, resource management, flight scheduling, etc. However, few studies have been conducted on how airport operational throughput is affected by convective weather in the vicinity of the airport and how to predict short-term airport operational throughput. Convective weather near the airport could make arrivals miss their positions in the arrival stream and reduce airfield efficiency in terms of utilizing runway capacities. This research leverages the learning-based method (MB-ResNet model) to predict airport hourly throughput. It uses the Hartsfield–Jackson Atlanta …

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. …

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, …

Efficient Smartphone Sensor Analysis For Behavioral Profiling In Transportation Research: A Case Study Of Driver And Passenger Classification, Wilson Lozano, Tempestt Neal

Research Reports

Our study investigates smartphone sensor data for classifying drivers and passengers, aligning with our original proposal to enhance multimodal transportation data collection via the OneBusAway app. We address challenges in balancing data quality with smartphone resource constraints and find that shorter data collection windows significantly improve classification performance. Additionally, feature standardization and selection enhance accuracy, particularly during extended data periods, supporting our goal of refining data quality from open-source platforms. These insights advance our objectives by optimizing data efficiency and supporting the real-world applicability of intelligent models in transportation safety and efficiency.

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) …

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 …