Digital Commons Network^™

Advancing Text Summarization And Classification: Deep Insights From Transformer-Based Statistical Learning, Kun Bu

USF Tampa Graduate Theses and Dissertations

Artificial Intelligence (AI) is a part of human's daily life nowadays. Machine Learning (ML) as one aspect from AI has been rapidly developing during the past two decades, especially from the statistical learning approaches, which emphasized the use of probability and statistics to model data, such as Support Vector Machines (SVMs) for classification and regression tasks to the ensemble learning techniques, such as Random Forest, Gradient Boosting Machine (GBM), and stacking. Ensemble learning has evolved into a pivotal concept in contemporary machine learning, empowering practitioners to amalgamate multiple models to enhance generalization, accuracy, and robustness. As the field of machine …

Optimizing Service Areas To Reduce Congestion And Enhance Equity In Access To Transportation Systems, Daniel Rodríguez-Román, José López-Martínez, Alberto M. Figueroa-Medina, Carlos Del Valle González

Research Reports

This report presents optimization-based methods for the design of transportation service areas. The contribution of this report is twofold. First, optimization models are presented for service area design problems that simultaneously account for the goals of system operators and users, with particular emphasis on the objectives of reducing congestion and enhancing equity-in-access to transportation services. The models account for spatial coverage constraints that are specified in real-world situations to ensure equitable access to transportation services. Two service area design applications are considered. In the first application, the problem of designing transit routes and the accompanying paratransit service area is examined. …

Iron Isotope Transformations In Saanich Inlet, Claire Onak

USF Tampa Graduate Theses and Dissertations

Iron (Fe) is required for many biogeochemical processes, with Fe bioavailability and chemistry being controlled by redox reactions that transform Fe between oxidation states and dissolved and particulate phases. In oxic seawater, Fe is present in the Fe(III) oxidation state, mainly as Fe oxyhydroxides. Under anoxic marine conditions, such as margin sediments under oxygen minimum zones or restricted basins with anoxic bottom water, Fe(III) is reduced to Fe(II), which is highly soluble and can be present at high concentrations ([Fe]). Fe isotope ratios (δ56Fe relative to IRMM-14) can be used to characterize Fe redox transformations, constrain Fe sources of Fe …

Individual Behavioral Modeling Across Games Of Strategy, Logan Fields

USF Tampa Graduate Theses and Dissertations

An individual’s actions in a particular environment and with specified resources can reveal their decision-making tendencies and patterns, and by analyzing the variations in cognitive traits among individuals, it may be possible to identify trends that can foretell their future behaviors. This can be a powerful tool in various fields including cognitive modeling, player analytics, computer security, and threat detection. Collectible card games are a fruitful test space for studying cognitive differences in decision-making, as they can have clearly defined and replicable environments and large player bases. As such, in this work, I explore the potential of using two virtual …

Thermal Ecology And Swimming Performance Of Native Tadpoles Dryophytes Femoralis In Central Florida, Jessalyn Aretz

USF Tampa Graduate Theses and Dissertations

Urbanization and climate warming have contributed to global amphibian declines in recent decades. Amphibians are particularly vulnerable to climate and urban-induced warming because their physiological processes are dependent on temperature across all life stages, but few studies have been done on tadpole responses to warming in comparison to adult responses. The study objective was to determine how the thermal ecology and swimming performance of a native Florida tadpole varied with rearing temperature and urban level, and whether these traits are plastic or adaptive. We collected eggs from wild populations of pine woods treefrog (Dryophytes femoralis) tadpoles at an urban and …

The Integration Of Assistive Technology By Female In-Service Teachers Of Students With Learning Disabilities In Saudi Arabia: A Qualitative Interview Study, Badriah Alotaiby

USF Tampa Graduate Theses and Dissertations

The aim of this study is to explore the teachers’ perceptions of integrating assistivetechnology into the curriculum for students with learning disabilities in Saudi Arabia. It is known that teaching students with learning disabilities had been one of the significant difficulties in the past and nowadays. Therefore, integrating assistive technology into the educational process would make it easier for the teachers of students with learning disabilities to teach these students through the use of integrating assistive technology. The use of such assistive technologies will be beneficial for learning disabilities students as well. The main question guiding this research is: What …

Advancing Depth-Storage-Discharge Modeling In Regional Hydrology, Fahad Alshehri

USF Tampa Graduate Theses and Dissertations

This dissertation presents the development of an innovative approach to populating rating characteristics and supporting hydrologic modeling, designed to simplify complex real-world hydrological systems and accurately estimate their responses to rainfall, runoff, baseflow and evaporation stresses. The core of this research addresses the challenges inherent in characterizing hydrography elements in hydrologic modeling, particularly in regions lacking comprehensive stream reach survey data, flow and stage. This issue is pronounced in areas with extensive wetland hydrography, where traditional modeling requires intensive manual calibration, and course rating data that are often unavailable. To overcome these challenges, this study introduces a novel procedure that …

Introductory Geology Laboratory Students' Learnings From And Perceptions Of Physical And Virtual Polarizing Light Microscopes – An Exploratory Mixed Methods Study, Christy M. Bebeau

USF Tampa Graduate Theses and Dissertations

Undergraduate geoscience laboratory courses provide hands-on learning about earth materials. However thin section analysis is not typically included in introductory geology laboratories, likely due to the polarizing light microscope (PLM) costs. Therefore, there is a lack of research about the educational outcomes of novices learning these skills.

In this inquiry, I conducted mixed methods research about novice students' learning of thin section analysis in an introductory geology laboratory and evaluated learning and perception differences between students who used a virtual PLM and those who used a physical PLM. I collected data from Creative Exercise (CE) assessments in student midterm and …

Integrated Process Modeling, Techno-Economic Analysis And Life Cycle Assessment For Enhanced Biogas-To-Energy Sustainability And Efficiency, Rarosue Jennifer Amaraibi

USF Tampa Graduate Theses and Dissertations

This dissertation aims to enhance the cost competitiveness and minimize the environmental footprint of technologies that convert biogas to energy, contributing to global climate change mitigation efforts. Biogas, a by-product of the anaerobic decomposition of organic waste from various sources, is a renewable energy source with the potential to reduce carbon emissions and meet local energy needs. However, widespread adoption requires the development of economically viable and environmentally friendly technologies.The central hypothesis of this dissertation suggests that by adopting a holistic strategy that combines cutting-edge techniques to purify biogas and improve its conversion into valuable liquid fuels, we can substantially …

A Gateway To Next-Generation Patient Monitoring System, Kishore Kumar Kadari

USF Tampa Graduate Theses and Dissertations

Healthcare patient monitoring is undergoing a significant digital transformation, and the integration of Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) is becoming increasingly crucial in reshaping patient care. In an era where digital technology is revolutionizing medical practices, this research aims to take a leading role in advancing a fundamental aspect of predictive and sustainable healthcare practices, enhancing patient outcomes and uplifting the practice of medicine.

This research focuses on the study of Digital Twins for precision health, which are designed to monitor and provide intricate, personalized feedback dynamically during a patient's healthcare experience. The architecture of the system is …

Development Of Data-Driven Models To Predict Chemical Dosage And Energy Intensity For Different Supply Sources Of Drinking Water, Rehnuma Salsavil

USF Tampa Graduate Theses and Dissertations

As part of the UN Sustainable Development Goals (SDG6), access to clean water for the entire population and sustainable management of water resources have been stressed. Demand for water is increasing due to population growth, economic development, water quality degradation, and climate change. More water needs to be produced for the community at lower treatment costs. The chemical dosage and energy intensity are two important factors that influence water treatment costs and sustainable management of resources as well.

Previously, chemical dosage modeling to reduce treatment costs have been explored but there have been more focus in coagulant dosage modeling. Other …

Home Is Where The Work Is: How Biases In Managers’ Resource Allocation Decisions Affect Task Performance In Remote Work Environments, Richard D. Mautz Iii

USF Tampa Graduate Theses and Dissertations

As the use of remote and hybrid work arrangements continues to grow, it is important to understand how these arrangements can yield performance. In this paper, I conduct two studies to examine how the remote work environment affects managers’ task assignment decisions across different task types and how those decisions affect workers’ task performance. First, I survey managers, in both a cross-section of industries and specifically in accounting, to study the effect of remote work on their task assignment decisions. Consistent with prior literature and economic theory, I predict and find that managers are more inclined to assign generative tasks …

Human Motion-Inspired Inverse Kinematics Algorithm For A Robotics-Based Human Upper Body Model, Urvish Trivedi

USF Tampa Graduate Theses and Dissertations

The goal of this research is to develop a human motion-inspired inverse kinematics algorithm framework specifically designed for a Robotics-Based Human Upper Body Model (RHUBM). This framework offers solutions to challenges in various fields. In humanoid robotics, the framework addresses the problem of unnatural robot movement by enabling the development of motion planning algorithms that incorporate human-like movements. For prosthetics, the framework tackles the challenge of amputee difficulty in learning and controlling prosthetics by providing a user-friendly interface that predicts and visualizes upper limb movements, enabling learning and practice. In rehabilitation therapy, the framework tackles …

Through The Looking Glass: Overcoming Algorithm Aversion In Accounting, David E. Watson

USF Tampa Graduate Theses and Dissertations

Artificial intelligence (AI) is growing rapidly in the accounting field as audit firms invest heavily in technology to enhance audit efficiency and effectiveness. Existing research reveals two contrasting behaviors: algorithm aversion, where individuals are reluctant to rely on algorithms even if their recommendations are equivalent to humans, and algorithm appreciation, where individuals excessively rely on AI without exercising professional skepticism. This study investigates whether auditors’ algorithm aversion can be mitigated through interventions of providing reliability information and transparency information (explainability) about the AI’s processes in order to enhance auditor reliance on AI tools. The results indicate that the participants were …

Introductory Chemistry Student Success: Evaluating Peer-Led Team Learning And Describing Sense Of Belonging, Jessica D. Young

USF Tampa Graduate Theses and Dissertations

Identifying approaches that make science and engineering education broader and more inclusive is core to discipline based education research. Both fundamental and applied research are important in advancing a STEM education that retains the necessary scientists of the U.S.’s future. Thus, the major goal of this work was to evaluate and describe efforts that promote student success within introductory STEM courses. This began with applied research by utilizing quantitative analyses like case-matching, logistic regression, independent sample t-tests, and repeated measures while evaluating the efficacy of peer-led team learning (PLTL). Later, this work delves into qualitative approaches to answer fundamental research …

Hurricane Impacts On Water Resources: A Look At Nature-Based Solutions To Improve Long-Term Resilience, Fautemeh Sajadi Bami

USF Tampa Graduate Theses and Dissertations

Severe storms are a common occurrence in the state of Florida. Hurricane events may cause hazards such as flooding, property damage, death, and many others. Such far-reaching impacts may potentially result in dangerous consequences where they occur. Of interest to this study were the impacts on water resources and water quality caused by storms. Hurricanes can bring about a deluge. An apparent excess of water may cause the notion of water scarcity to seem less significant. However, problems with potable water can be quite frequent due to storms.

This research sought to address the impacts of severe storms on water …

Turkish Preschool Teachers’ Perspectives On The Education Of Advanced Young Learners, Gülçin Bilgener

USF Tampa Graduate Theses and Dissertations

The purpose of this study was to shed light on preschool teachers’ perspectives on education of young advanced preschoolers. I conducted this study in a public preschool in the northwestern neighborhood of a city in the Black Sea Region of Türkiye. While choosing this research site I employed convenience sampling based on the accessibility of individuals and the site (Bloomberg & Volpe, 2012). This study designed as a qualitative study, three semi-structured interviews were used as main data collection methods. Two observation sessions took place during participants’ teaching and these observation notes were used as supporting data. I utilized grounded …

Explorations On Non-Covalent Interactions: From Supramolecules To Drug-Like Molecules, Zhanpeng Zhang

USF Tampa Graduate Theses and Dissertations

Non-covalent interactions are everywhere in our material world. From the microstructures of organisms to the functional materials used in industrial production, whenever matter exists, there are non-covalent interactions between the molecules that build up the matter.The exploration of non-covalent forces helps people understand the intrinsic principles of life processes, it can be applied to create new supramolecular materials as well. Supramolecular chemistry is a research field focusing on the properties and applications of non-covalent interactions. Various non-covalent interactions, such as hydrogen bonds, metal-ligand coordination, π-π interaction, hydrophobic interaction, etc., are objects of research in supramolecular chemistry.

Not only supramolecular chemists, …

Forgotten Learners: An Examination Of The Experiences Of English Language Learners In Advanced Placement And International Baccalaureate Social Studies Courses, Elizabeth Rasmussen

USF Tampa Graduate Theses and Dissertations

The number of English Language Learners (ELLs) in the United States is rapidly increasing, particularly in high schools. Although the number of ELLs is growing at a fast pace in the United States, the number of ELLs enrolled in advanced educational programming has not increased. After an in-depth review of the extant literature, it is evident that limited scholarly research on ELLs in advanced coursework exists. This is especially true in AP and IB social studies courses, where in many states where “Open Access” and “AP for All” have been adopted. This qualitative study sought to reveal the lived experiences …

On The Subelliptic And Subparabolic Infinity Laplacian In Grushin-Type Spaces, Zachary Forrest

USF Tampa Graduate Theses and Dissertations

This thesis poses the ∞-Laplace equation in Grushin-type spaces. Grushin-type spaces G are defined by the vector fields which serve as a basis for their tangent spaces; by weighting the canonical (Euclidean) directional vectors {∂/∂x_i}ⁿ_i=1 by functions ρ_i that obey certain technical assumptions, we produce a class of metric spaces in which certain directions may not be accessible at all points in the space. We prove the existence and uniqueness of viscosity solutions to both Dirichlet problems and Cauchy-Dirichlet problems involving the∞-Laplacian over bounded Grushin-type domains. The main tool in proving uniqueness of …

An Argument For Expanding Research On Quantitative Pedagogical Content Knowledge, Randall E. Groth

Numeracy

Pedagogical content knowledge (PCK) traditionally has been used in research concerning prospective and practicing classroom teachers. This essay argues that PCK is also relevant to other professions including those advancing quantitative reasoning (QR). To illustrate, the case of PCK for teaching QR is considered. Those in fields such as public health, journalism, meteorology, and government increasingly find themselves responsible for helping the public understand an ever-growing amount of quantitative information that has a bearing on societal well-being. Several examples illustrate how such professionals’ responsibilities require knowing prevalent QR patterns in society, strategies for fostering sound reasoning, and the general nature …

Improving Medical Image Classification Accuracy Through Unsupervised Segmentation And Confounder Mitigation With Limited Data, Nikolai Fetisov

USF Tampa Graduate Theses and Dissertations

Medical images are indispensable for assisting health care professionals to make more accurate cancer diagnosis and prognosis decisions. Several image modalities exist including, but not limited to, histopathology or whole slide images (WSI), computed tomography (CT), positron emission tomography (PET) and radiography (i.e., X-Ray), each having their own application in clinical practice.

Today, machine learning and deep learning methods have evolved to the point of being practically usable. These approaches learn and extract knowledge from data to make possible automating certain tasks. At the point of writing this dissertation, they have reached human-level performance in general image recognition tasks, became …

Interfacial Magnetism And Anisotropy In Dirac And Weyl Semimetals, Noah Schulz

USF Tampa Graduate Theses and Dissertations

Semimetals have gained intense interest recently due to their exotic magnetic and electronic properties. One of the most widely studied semimetals is graphene, a Dirac semimetal. The utilization of graphene in devices and sensors requires interfacing it with other materials, which may induce potentially strong interfacial effects. Furthermore, graphene alone does not possess magnetic order. Studying the interfacial effects between graphene and magnetic materials is therefore of great importance in the application of graphene to meet modern technological needs. Furthermore, by understanding the fundamental interfacial physics between graphene and magnetic materials, new properties can be unlocked, broadening the possible applications …

A Mathematics Textbook Analysis Of Content And Representation, Salam R. Ahmad

USF Tampa Graduate Theses and Dissertations

In this dissertation study, I recognized the crucial role of mathematics educators’ utilization of instructional materials for effective teaching. I highlighted the significance of content that is taught to students through relevant mathematical tasks and representations. Through a detailed examination, I analyzed the similarities and differences in two editions of a precalculus textbook published by the same publishing company. Following a state-wide mathematics textbook ban in Florida, the precalculus textbook was placed on the Florida Department of Education’s (FLDOE) Instructional Materials Not-Recommended List in 2020. It was later revised and subsequently included to the FLDOE Instructional Materials Adopted List document …

Exploring The Use Of Enhanced Swad Towards Building Learned Models That Generalize Better To Unseen Sources, Brandon M. Weinhofer

USF Tampa Graduate Theses and Dissertations

Deep learning models, typically, take significant time to train. Classifier ensembles are areliable way to increase classifier accuracy and perhaps generalizability to unseen sources of data. These classifiers can be combined with a simple voting scheme. The problem is that having multiple models can very heavily increase training time. Snapshot ensembles have been shown to provide a boost in performance by creating an ensemble of classifiers with different weights during the training of a single deep learned model. This can somewhat solve the problem of the increased training time as you do not have to train separate models. As Machine …

Leveraging Systems Thinking For Global Environmental Health, Martha M. Mcalister

USF Tampa Graduate Theses and Dissertations

Environmental health inequities such as household air pollution, inadequate water, sanitation, and hygiene, and chemical pollution persist globally and have myriad consequences on individual and societal well-being. Unfortunately, while billions of dollars and countless hours of research have been applied towards addressing these issues in development, humanitarian, and environmental justice contexts, attempts to reduce the environmental burden of disease can seem successful at first, but then backslide to pre-intervention conditions (or worse). This is indicative of policy resistance, a tendency of complex systems that makes it very difficult to enact change if the “rules” of the system are misunderstood. There …

Development And Evaluation Of Novel Applications For The Ethos Cbct-Guided Online Adaptive Radiotherapy System, Nour Nasser

USF Tampa Graduate Theses and Dissertations

Radiation therapy (RT) is an important pillar of modern cancer treatment, in neoadjuvant, curative, adjuvant, and palliative settings. The physics underlying RT is ionizing radiation that produces charged particles, which deposit their energy in the tissues they pass through. This energy results in unrepairable DNA damage resulting in the death of cancer tissue. The aim of RT is to deliver the desired radiation dose to the tumor while maximizing normal tissue sparing. Over the past decades, physics, engineering, and computational improvements has allowed advancement of external beam RT techniques, for example from 2D RT to 3D RT to now intensity …

Dissolved Nitrogen Removal In Biochar Amended, High Permeability Media For Urban Stormwater Treatment, Mark Vicciardo

USF Tampa Graduate Theses and Dissertations

Nutrient pollution in stormwater drives the eutrophication of inland and costal waterbodies which leads to sea grass retreat and the proliferation of harmful algal blooms (HAB). These anthropogenic effects destabilize ecosystems, and some HABs can pose direct human health risk. Bioretention, or the storage and controlled discharge of stormwater run-off in an ecologically engineered setting, is a potential solution to this problem. However, it relies heavily on the settling of particles as a nutrient removal mechanism, and thus struggles with pollutants, such as dissolved nitrogen, which is a particular problem in Florida where the geological prominence of phosphorus leaves nitrogen …

Automatic Image-Based Nutritional Calculator App, Kejvi Cupa

USF Tampa Graduate Theses and Dissertations

Nutrition plays a pivotal role in shaping an individuals’ health and quality of life, making the evaluation of dietary intake crucial for promoting healthier lifestyle choices. Various solutions, particularly mobile apps, have been developed to facilitate the process of dietary estimation. Accurate nutritional intake assessment relies on two key components: ingredient recognition and food portion estimation. For a mobile app to offer a comprehensive solution for automatic nutritional assessment, it must address both components.

In this work, we focus on a mobile app pipeline: the semi-automatic pipeline which focuses on automatic food ingredient recognition. This pipeline integrates state-of-the-art models for …

Bird Strike Hazard Assessment For The Tampa International Airport, Florida, Usa, Yakubu Ogwu Isah

USF Tampa Graduate Theses and Dissertations

Managing wildlife at airports poses a challenge for ensuring safety for aviation traffic. Airports, with their surrounding habitats and infrastructure, serve as attractants for avian species. Threats created by these species have led managers to develop management techniques in and around airports (DeVault et al 2013). One approach is the use of geographic information systems (GIS) for analyzing avian strike data and airport bird surveys. Spatial analysis of strike data identifies species of threat by categorizing strike occurrence, species sizes, phase of flight, and risk of damage. In addition, GIS can be used to map hotspots of bird strikes. These …