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Student-Athlete Vs Athlete-Student: Differences In Athletic Retirement Expectations, Terrie L. Bradshaw

Graduate Thesis and Dissertation post-2024

The purpose of this qualitative, phenomenological Dissertation in Practice was to define the terms student-athletes and athlete-student by discovering any differences in non-cognitive variables between the two groups. Additionally, this study attempted to identify any differences in career transition expectations between student-athletes and athlete-students. Thirteen NCAA athletes from various universities across the United States were included. With the use of one-on-one semi structured interviews, five themes emerged. The themes that emerged were 1) Both types of athletes attend college for different reasons. 2) Differences in level of commitment. 3) Both types of athletes strive for academic success. 4) Different expectations …

A Case Study Of Grades 3-4 English Language Arts Teachers' Interpretations Of Educational Policy And Their Pedagogical Choices In Literacy Instruction, Priscilla Develder

Graduate Thesis and Dissertation post-2024

The purpose of this qualitative case study was to explore how elementary school teachers in a Florida public school district made sense of Florida’s House Bill 1467: K-12 Education (HB 1467) and how their interpretations shaped their reading and writing pedagogy. Guided by Karl Weick’s (1995) Sensemaking Theory as a theoretical lens for understanding these interpretations, the study examined how teachers navigated the complexities of policy implementation within the context of their daily classroom experiences. Participants included six third- and fourth-grade English Language Arts (ELA) teachers from four elementary schools within a Florida public school district. Data was collected …

Emojis As Text Technology: Between Visual Paradigm And Cultural Revolution, Hanan Hafiz

Graduate Thesis and Dissertation post-2024

Emojis, as a broader communication phenomenon, have gained widespread usage, significant adaptation, and considerable academic attention due to their role in providing semiotic cues and online gestures within computer-mediated communication. This study aims to trace their development and evolution using the text technologies framework. This approach examines the systematic use of emojis, with particular emphasis on their extensive evolution by historically contextualizing their usage, trends, and cultural interactions. Anchored in this conceptual approach, the study draws on the taxonomy of text technology developed by Treharne and Willan, analyzing the evolution of emojis through four key dimensions: intentionality, materiality, functionality, and …

Chromatographic Developments For The Analysis Of Toxic Organic Chemicals In The Environment And Food Samples, Stephanie Devi Nauth

Graduate Thesis and Dissertation post-2024

As awareness grows about compounds harmful to human health, the need for sensitive detection methods at low concentration levels becomes increasingly critical. Chromatography is a powerful analytical technique that enables the separation of complex mixtures, allowing for the simultaneous analysis of multiple analytes—even at trace levels. This dissertation applies chromatography in two distinct contexts: (1) Investigating the sorption of polycyclic aromatic sulfur heterocycles (PASHs) onto nylon microplastics; and (2) Detecting illegal dyes in various food matrices.

Microplastics have emerged as significant vectors for transporting pollutants into aquatic ecosystems. Due to their hydrophobic nature, many organic pollutants readily sorb onto microplastics …

Pride Or Prejudice: An Examination Of Queer Content In Florida High Schools, Niamh L. Harrop

Graduate Thesis and Dissertation post-2024

This thesis explores how queer individuals reflect on the presence—or more often, the absence—of queer content in their high school education. Despite increasing visibility of LGBTQ+ people in popular culture and legal reform, formal educational spaces remain largely heteronormative and cisnormative structured from a heterosexual and cisgender standpoint. Through a critical qualitative approach, this study draws on semi-structured interviews with 13 queer participants who attended high school in Florida in the years between the legalization of same-sex marriage in 2015 and the passage of Florida’s H.B. 1557 (“Don’t Say Gay” law) in 2022. Using thematic analysis, four key themes were …

Ucf Pegasus Plan - 2nd Grade - Symbol Explorers: Discovering Us And Florida Symbols, Jessica L. Elliott, Hailey Smith, Therissa Leo, Julia Cecelia, Fredrieka Clemons

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this unit, students will identify essential American and Florida symbols and the symbolic meaning behind what they represent through hands on experiences, visual lectures, and exploratory projects. The students will participate in whole group and small group discussions along with actively engage in several comprehensive opportunities.

Teachers' Feedback And Students' Emotional Wellbeing In Writing Courses, Amar Bahadur Sherma

Journal of English Learner Education

While feedback is a corrective business in every sphere of human life, most students do not have a positive perception of teachers’ feedback. Previous studies have emphasized the relationship between students’ writing achievements and the effectiveness of teachers’ feedback. However, no substantial research on how teachers’ feedback affects students’ emotional well-being has been undertaken. This article examines the relationship between students’ understanding of their teachers’ feedback on their writing assignments and emotional wellbeing. Data was collected from (N = 63) Nepali undergraduate students through Google Forms. The Forms consisted of structured and unstructured questions. According to the data, a mismatch …

Irish Populism, Maxwell Woods

James Joyce Literary Supplement

No abstract provided.

Irish Environmental Humanities, Emily Reiff

James Joyce Literary Supplement

No abstract provided.

Joyce’S Genealogy, Ryan Kerr

James Joyce Literary Supplement

No abstract provided.

Criticism By Other Means, Ericson Charlie

James Joyce Literary Supplement

No abstract provided.

Applying Universal Design For Learning Strategies To Increase Student Engagement With Your Course Syllabus, Amy Sugar, Amanda Groff

Teaching Online Pedagogical Repository

Apply Universal Design for Learning to syllabi design.

Facilitation Of Historic Preservation In Parramore, Aiyana Gross

High Impact Practices Student Showcase Fall 2025

The Parramore Speaks project is an initiative hosted by the UCF Public History Department designed to give agency back to the resident’s of Parramore by putting the preservation of their history back into their hands. Through a collaborated with the City of Orlando, RICHES and the PHC Internship, I had the unique opportunity to be a part of a team dedicated to preserving and sharing the endangered local histories of communities located here in Central Florida. I worked personally with the oral interviews and transcriptions for individuals such as Reggie McGill, Alzo J. Reddick, Walter Hawkins and Paul Perkins, tirelessly …

Market Signals And Price Setting: Unveiling Barometric Price Leader In The Hotel Sector, Sung W. Lee, Donna Quadri-Felitti, Ami Sharma, Seoki Lee

Journal of Hospitality Financial Management

This paper introduces the concept of barometric price leadership to the hotel sector, where a leading hotel sets prices that reflect demand and supply trends, guiding other hotels in the market to set their prices. While the significance of competitor-based pricing has been rec- ognized, the strategic influence of such price leaders on rivals' pricing has not been thor- oughly examined. This conceptual study delves into the existing literature to discuss the underpinnings and implications of such leadership, illustrating how prices portray vital mar- ket information. The study argues for the recognition and strategic importance of barometric price leaders in …

An Application Of The Abc Classification To A Comparative Analysis Of Financial Performance: A Case Of Listed Hotels In Thailand, Slisa Bhamornsathit

Journal of Hospitality Financial Management

The hotel industry in Thailand has benefited from an increase in tourism and a growth op- portunity from the free flow of trade and investment in the ASEAN region. This study inves- tigates the financial performance of hotel companies listed on the Stock Exchange of Thai- land during the 2011–2022 period. The ABC classification was applied to categorize a sam- ple of hotels based on revenue. The financial performance of the classified hotels was then examined using comparative ratio analysis. The results indicated that high-revenue hotels performed well in terms of profitability; medium-revenue hotels presented high efficiency in asset management, …

Archival Stellar Flare Follow-Up In Evryscope Observations, Tyler J. Thomas

Honors Undergraduate Theses

M dwarfs, the most abundant stars in the galaxy, are prime targets in the search for habitable exoplanets. However, their high flare activity may compromise planetary atmospheres, with Coronal Mass Ejections (CMEs) increasing this risk. Despite this, the relationship between M dwarf flares and CMEs is not well understood. This study uses archival data from Evryscope North and South, crossmatched with Sloan Digital Sky Survey (SDSS) and Gaia data, to investigate this relationship. This crossmatching demonstrated an abundance of stars within the 20 arcsecond Evryscope uncertainty. The analysis also revealed a modest excess of K1 and F9 type stars but …

High-Throughput Drug Screening For Disease-Modifying Arthritis Therapy, Janapriya Vijayakumar

Honors Undergraduate Theses

Current therapy for arthritis predominantly focuses on the symptoms rather than the underlying causes of disease progression. Thus, it is necessary to identify novel drugs which target the underlying molecular basis of such diseases. Using high-throughput cell-based drug screening, we screened 458 different compounds, narrowed down from 811 starting compounds from the NIH Mechanistic Set. We selected drugs from the Mechanistic Set following Lipinski's Rule of 5 to ensure optimal pharmacokinetic properties. The study used modified primary human chondrocytes (IIAM-PRG4Luc), which secrete a lubricin promoter-driven luciferase reporter. We use this luciferase expression as a proxy to measure lubricin, a compound …

Assessment Of The Safety Culture In Petrochemical Industries In Saudi Arabia: A Cross-Sectional Study, Ahmed Mohammed Alqarfi

Graduate Thesis and Dissertation post-2024

Given the inherently hazardous nature of petrochemical operations, an effective safety culture is critical. Following PRISMA 2020 guidelines, 29 peer-reviewed articles published in open access between 2014 and 2024 were selected to evaluate the status of safety culture dimensions employed in the petrochemical sector. This cross-sectional study assessed safety culture in the Saudi Arabian petrochemical industry and examined the relationships among safety culture dimensions, safety motivation (SM), and safety performance. Safety performance was operationalized as personal error behavior (PEB) and attitudes toward violations (ATV), with SM modeled as a mediating factor. After obtaining IRB approval, a total of 482 employees …

Development Of A Data-Driven Decision Support System For Intelligent Traffic Management At Intersections, B M Tazbiul Hassan Anik

Graduate Thesis and Dissertation post-2024

Intersections are complex traffic environments where frequent vehicle and pedestrian interactions can lead to safety- and mobility-critical (SMC) conditions. Identifying these conditions promptly is crucial, as delays may result in missed interventions, thereby heightening crash risk, and diminishing operational efficiency. This dissertation introduces a data-driven, real-time decision support framework for the identification and mitigation of SMC conditions using High-Resolution Traffic Controller Data (HTCD) collected via Automated Traffic Signal Performance Measures (ATSPM) system and Connected Vehicle (CV) data from Signal Analytics. First, an end-to-end analytical pipeline was developed to transform HTCD into actionable safety and mobility measures. A Bayesian beta-binomial framework, …

Small Ripple, Big Waves: Individual Political Attitudes, Populism, Illiberalism And Democratic Resilience, Paulo Ricardo Valle

Graduate Thesis and Dissertation post-2024

Why do individuals who support democracy also endorse populist and illiberal attitudes? Current literature focuses efforts on exploring the role that institutions and political actors have in democracy resilience (Levitsky & Ziblatt, 2019; Merkel & Lührmann, 2021). However, relatively few academic works have examined this phenomenon at the individual level. With the aim to exploring the causal effect between individual political attitudes, anti-democratic threats, and democratic resilience at the individual level, this study applies a micro-level theoretical approach to assess how individuals’ political attitudes toward populism and illiberalism affect their support for democratic values. To test the hypotheses, this study …

An Ailment I Will Fight With: Differential Diagnosis And Methodology Evaluation Of Possible Treponemal Infection At Dayr Al-Barsha, Egypt, Lindsey D. Lefebvre

Graduate Thesis and Dissertation post-2024

Treponemal diseases, including bejel, yaws, pinta, and venereal syphilis, have long plagued human populations and continue to pose public health challenges today. Despite their persistent global presence, the origins, transmission pathways, and archaeological identification of these diseases—caused by various subspecies of Treponema pallidum—remain contested. This study explores the utility of standardized diagnostic criteria, as proposed by Baker et al. (2020), in assessing the presence of treponemal disease in highly fragmentary skeletal remains from the Roman-period necropolis at Dayr al Barsha, Egypt. Through the examination of 14 individuals, this research seeks to (1) identify indicators consistent with bejel (T.p. …

Authorship Attribution Of Ai-Generated Codes, Soohyeon Choi

Graduate Thesis and Dissertation post-2024

The field of code authorship attribution focuses on identifying the author(s) of source code written in a specific programming language. Various methods, including manual crafting, automated crafting, and deep learning-generated features, have been developed for this task. These techniques leverage the unique stylistic patterns inherent in code, such as structure, comments, variable names, and function names, to attribute authorship accurately. This field has practical applications in software forensics, cybersecurity, and code plagiarism detection, enabling investigations into issues like piracy, intellectual property violations, and malware attribution. In educational settings, it helps detect plagiarism in programming assignments. However, traditional methods face challenges …

On The Dynamic Connectivity And Phase Transition In River Networks, Juthika Roy

Graduate Thesis and Dissertation post-2024

River network (RN) structure has a significant impact on flux transport, aggregation and ecosystem connectivity. In this dissertation, the structural control of RN on flux transport was investigated by the application of integrated framework of dynamic clusters and network graph theory. This new framework has been proposed to determine sub-catchment connectivity using minimum and maximum flow criteria. Our analysis on synthetic and natural RNs across United States demonstrates that basin scale connectivity at low flow conditions is efficiently governed by the abundance of side branching junctions whereas this characteristic slows down the flux convergence rate at maximum flow condition.

Furthermore, …

Integration Of System Dynamics And Agent-Based Simulation To Emulate Cyberattacks In An Iot-Based Smart Grid, Francisco Valdez

Graduate Thesis and Dissertation post-2024

The electric power grid is a cyber-physical system (CPS) that plays a fundamental role in modern society. With the integration of renewable energy sources and advanced communication technologies, Smart Grids (SGs) can enhance both the profitability and reliability of the electric power system. The communication network that interconnects numerous remotely distributed generators, devices, and controllers plays a vital role in grid control, and current trends favor the widespread adoption of Internet of Things (IoT) devices. However, this network is inherently vulnerable to cyberattacks. This dissertation presents a hybrid methodology to model and analyze the dynamic behavior of an electrical Smart …

Critical State-Based Study On Deformations Due To Construction Activities And Blast Densification, Jorge Enrique Orozco-Herrera

Graduate Thesis and Dissertation post-2024

The behavior of geo-structures and foundation systems in densely populated urban areas relies on the successful performance of the supporting soils when subjected to static (e.g., the weight of the structure or service loads) or dynamic (e.g., earthquake-induced ground motions, construction-induced vibrations, wind loads, or traffic) loading scenarios. Construction-related activities and ground improvement operations can also be responsible to alter the stress-strain-strength behavior of supporting soils by causing vibration-induced ground deformations, excessive vibrations, or mobilizing soil shear strength in relation to in situ or as-built conditions. Construction-related activities and ground improvement operations such as blast densification trigger complex dynamic input …

An Integrated Approach To Waste Management And Development Of Data Driven Decision Support Tools, Mert Gokgoz

Graduate Thesis and Dissertation post-2024

Municipal solid waste management requires balancing environmental performance, operational efficiency, and community participation. Proper recycling contamination in single-family units is a persistent barrier to material recovery, reducing the effectiveness of local programs by increasing recycling contamination. This dissertation develops an integrated, data-driven framework that combines behavioral modeling of communities via statistical analysis and machine learning (ML), and life cycle assessment (LCA) to support decision-making in residential waste management. The first component examines household recycling behavior using data from Orange County, Florida’s Recycling Quality Improvement Program (RQIP). Cart-tagging results were integrated with socio-demographic data from the U.S. Census to predict contamination …

Towards Achieving General Video Understanding, Rohit Gupta

Graduate Thesis and Dissertation post-2024

This dissertation investigates the problem of general video understanding, aiming to develop models capable of robust, adaptable, and semantically rich interpretation of video data across diverse domains and tasks. Despite significant progress in video analysis, existing methods remain limited by restricted vocabularies, inadequate fine-grained discrimination, and vulnerability to noise and adversarial perturbations. To address these challenges, the research advances four complementary directions encompassing multimodal fusion, open-vocabulary recognition, robustness enhancement, and unified video–language modeling. First, a multi-modal prototype contrastive framework is proposed for fine-grained video classification, integrating visual and auditory cues through a transformer-based architecture and supervised contrastive learning with class …

Paleoethnobotany And Starch Grain Residue Analysis Collected From Ceramics At The White Marl Site, Jamaica, Lydia E. Kiernicki

Graduate Thesis and Dissertation post-2024

The White Marl site represents the largest known Taíno settlement and archaeological site in Jamaica. Road construction in the eighteenth century first disturbed the site, followed by further damage during Mandela Highway construction in the 1940s. The site now faces renewed threats from a proposed highway expansion that has divided it into two zones. In response, the Jamaica National Heritage Trust began archaeological investigations in 2016 to assess and document the land before development and preserve any recoverable material remains and cultural heritage. Field seasons from 2016 to 2019 recovered of several ceramic burial vessels from inhumation contexts, providing valuable …

Large Language Models And Networks: Edge Proposal, Synthetic Corpora, And Adaptive Node Generation, Nathan Gonzalez

Graduate Thesis and Dissertation post-2024

Natural Language Processing (NLP) and Artificial Intelligence (AI) have evolved from brittle rule-based engines through data-driven statistical models to today’s transformer architectures whose multi-head attention enables rich contextual reasoning. Against this backdrop, this dissertation unifies three complementary investigations that deepen our understanding of how large language models (LLMs) can reason over, generate, and strategically adapt language within networked settings. First, instruction-tuned LLMs are recast as latent-relationship detectors: by prompting models to hypothesize links between text-described entities, we recover edge sets that reconstruct social, thematic, and citation graphs with high precision, revealing how attention distributions encode topological cues. Recognizing the difficulty …

Learning-Based Ethereum Phishing Detection: Evaluation, Robustness, And Improvement, Ahod Alghuried

Graduate Thesis and Dissertation post-2024

Phishing attacks continue to pose a significant threat to the Ethereum ecosystem, accounting for a major share of Ethereum-related cybercrimes. To enhance the detection of such fraudulent transactions, this dissertation develops a comprehensive framework for machine learning-based phishing detection in Ethereum transactions. The framework addresses critical aspects such as feature selection, class imbalance, model robustness, and the vulnerability of detection models to adversarial attacks. By systematically evaluating these key practices, this work contributes to the development of more effective detection methods. The first part of the dissertation assesses the current state of phishing detection methods, identifying gaps in feature selection, …