Digital Commons Network^™

Diagnostic In Neuroimaging: A Comparative Study Of Deep Learning And Traditional Approaches, Amina Issoufou Anaroua

Data Science and Data Mining

In the realm of medical diagnostics, precise classification of brain tumors is pivotal. This study conducts a comprehensive comparative analysis of a Convolutional Neural Network (CNN) against traditional machine learning models, Logistic Regression (LR) and Support Vector Machines (SVM) on a dataset of MRI scans for multi-class brain tumor classification. The CNN, tailored for image recognition, is evaluated alongside LR and SVM, which have established benchmarks in classification tasks. The investigation reveals that the traditional models hold their ground in terms of precision and interpretability, with the SVM, in particular, achieving remarkable accuracy. However, the CNN distinguishes itself by demonstrating …

Ucf Pegasus Plan - 2nd Grade - Supply & Demand, Renata Veronica Nunez Saenz, Valeria Bonilla, Julia Buquicchio, Leah Silverman, Mya Buck

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this unit, students will explore the fundamental concepts of economics. Through collaborative discussions, multimedia resources, and formative assessments, students will develop a robust understanding of how markets operate in their community and how people provide goods and services based on societal needs. Students will investigate the production process of familiar goods and learn the roles of producers and consumers in economic systems. They will also examine the concept of supply and demand with real-world applications by analyzing how changes in supply and demand affect prices and consumer behavior. The unit includes vocabulary introductions, practical demonstrations, and visual aids to …

Ucf Pegasus Plan - 1st Grade - Maps & Globes, Anna C. Howell, Alejandra Vega-Casillas, Gianna M. Astriab, Georgia De Los Santos, Lindsay Schultz

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this unit, students will explore, analyze, and construct maps. The students learn about what a globe is and how they are similar to and different from traditional maps. The daily lessons delve into the elements of maps, including cardinal directions, map symbols, and map keys, in addition to the seven continents and what makes each of these land masses unique. Through developmentally appropriate songs, games, and books, students will be highly engaged throughout this geography unit.

Ucf Pegasus Plan – Kindergarten – American U.S Symbols, Nicki Lynn Elia, Alma Tovar, Valerie Day, Jasmine Molina

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

This unit plan on U.S American Symbols includes interactive lessons, videos and context for Kindergarteners at any comprehension level including English learners.

Volume Xxxi (2024)

The Marjorie Kinnan Rawlings Journal of Florida Literature

No abstract provided.

What Is The Impact Of Bilingual Reading And Inclusivity To Young Students?, Phia Tse, Miguel Torres

High Impact Practices Student Showcase Fall 2024

The Bilingual Reading at the Creative School for Children was initiated as the group project for our LDR 2001 class. Our project was to find an organization that aligned with our values and had an issue we would like to bridge. We chose reading in different languages to children because we remember what it is like to be different, and the lasting effect it has on a child. Reading in multiple languages increases diversity awareness and educates children in understanding multiple languages through an increase in plasticity (Abbas, 2018). We used the Social Change Model of Leadership to navigate and …

Service-Learning Course, Shanzida Toha

High Impact Practices Student Showcase Fall 2024

Reflecting on my service-learning experience, I recognize that I used to judge first-generation immigrants who struggled with English. Over time, I realized this was unfair, as I hadn’t considered their individual challenges. This shift in perspective led me to become more open-minded, seek new experiences, and pursue my passion for helping others through direct patient care. I realized that engaging in leadership-based service learning could enhance my empathy and leadership abilities, which has become central to my personal and professional growth.

Decoding And Generating Poetry: Using Feminist Theory And Digital Media To Demonstrate Maya Angelou's Writing As Activism, Emery Beckman

Graduate Thesis and Dissertation post-2024

This thesis will demonstrate how rhetorical strategies can present social change through descriptive elements of persuasion. Using foundational rhetorical concepts, including ethos, logos, and pathos, it will connect concerns of inequality to the work of Maya Angelou, who can validate the impact intersectionality has within the use of rhetoric. Having been a victim of racism, sexual abuse, and economic disadvantages, she used her voice to break the silence for women. This thesis will showcase the impact of rhetorical techniques through digital media by creating a website featuring visual data and mapping by decoding Maya Angelou's work to demonstrate the power …

Fourth And Fifth-Grade Teacher Experiences With Els In The Science Classroom, Kiana Cheverez

Graduate Thesis and Dissertation post-2024

Science classrooms are places where students build knowledge through interacting with others and building new experiences by experimenting (Lee et al., 2009). English Learners (ELs) are students learning English, and the population of ELs has steadily risen in America (Tran, 2015). Although ELs are learning English, they are still expected to participate in conversations, exams, and learning in the Science classroom, regardless of their English abilities. This project focused on understanding teachers’ perspectives and experiences teaching ELs in the Science classroom. To do this, the researcher completed a phenomenological study and interviewed teachers to gain insight into their experiences. Afterward, …

Henry Viii & Rulership: A Contemporary Perspective Of His Reign, 1509-1537, Jeremy M. Rodriguez

Graduate Thesis and Dissertation post-2024

Henry VIII is one of the most infamous monarchs in English history, known by both medievalist and modernists. Historians have spent decades toiling over if Henry was a “good” monarch, attempting to either argue his strength or his weakness as a monarch. Instead of focusing on what he may or may not be in terms of his morality and effectiveness, this thesis looks at Henry’s reign by considering the political landscape he was born into. It considers the political culture in late medieval and early modern England to assess his rulership in the context of contemporary political thought. Using works …

External Boundary Conditions For Solidification Process Modeling Of Equiaxed Investment Castings, Weston Olson

Graduate Thesis and Dissertation post-2024

The equiaxed investment casting process is a multi-physics problem which requires knowledge from engineers who have expertise in materials, metallurgy, fluid dynamics, thermodynamics, and heat transfer. Process modeling is a tool used by foundries to help predict casting defects such as shrinkage porosity, hot tears, dimensional distortion, and poor grain structure. ProCAST is the numerical simulation suite used in this dissertation and is considered an industry standard due to its extensive proven track record. The reliability of these predictions is strongly dependent on the accuracy of the thermal boundary conditions set in the model. This dissertation consists of two studies. …

Design And Optimization Of Temperature-Stable Mems Resonators For Timing Applications Based On Thin-Film Lithium Tantalate, Yasaman Majd

Graduate Thesis and Dissertation post-2024

All radio devices require a highly accurate frequency reference with superb temperature stability. While quartz-based oscillators meet accuracy demands, they cannot be easily miniaturized for higher frequencies. Silicon-based MEMS resonators offer a promising alternative due to their small size, and low power consumption, though they suffer from significant temperature drift.

This research proposes a silicon-based MEMS device that exhibits low-frequency variations across wide temperature ranges, high-quality factors, and low insertion loss, meeting modern communication system requirements. Two main research avenues are explored.

Firstly, the thermal behavior of S₀ Lamb wave X-cut Lithium Tantalate (LT) resonators is investigated, demonstrating a …

Numerical And Analytical Evaluations Of Impact Of Atmospheric Particles On Aircraft, Brendon A. Cavainolo

Graduate Thesis and Dissertation post-2024

The Volume-of-Fluid method, an Eulerian multiphase flow model that adds a volume fraction transport equation to the CFD governing equations, is widely used for any fluid-fluid interface tracking problem. There are important aspects of multiphase flow that impact aircraft flight, especially flight in extreme environments. These extreme environments can range from wet, icy conditions to sandstorms, and volcanic debris. The problems posed by these harsh environments are only exacerbated by aircraft that tend to travel at higher Mach-numbers. The specific aims of the proposed research include application of the Volume-of-fluid method to the following aspects of aircraft flight: shock-droplet interactions, …

A Framework For Improving Employee Experience In The Hospitality Industry, Scott Hall

Graduate Thesis and Dissertation post-2024

This dissertation explores the unique aspects of employee experience within the hospitality industry. By conducting in-depth interviews with 40 employees, both within and outside of the hospitality sector, this research aims to identify the factors that distinguish the employee experience in hospitality and to lay the groundwork for future improvements in this field.

The study employs a thematic analysis to uncover key themes that define the hospitality employee experience. The findings reveal that job satisfaction in hospitality is significantly influenced by factors such as workplace culture, career development opportunities, and the intrinsic satisfaction derived from serving guests. Moreover, the research …

Adaptive Anomaly Prediction Models, Ashkan Farhangi

Graduate Thesis and Dissertation post-2024

Anomalies are rare in nature. This rarity makes it difficult for models to provide accurate and reliable predictions. Deep learning models typically excel at identifying underlying patterns from abundant data through supervised learning mechanisms but struggle with anomalies due to their limited representation. This results in a significant portion of errors arising from these rare and poorly represented events. Here, we present various methods and frameworks to develop the specialized ability of models to better detect and predict anomalies. Additionally, we improve the interpretability of these models by enhancing their anomaly awareness, leading to stronger performance on real-world datasets that …

Heat Transfer And Pseudo-Boiling Of Supercritical Carbon Dioxide In A Parallel-Flow Microchannel And A Micro-Jets Impingement Device, Pranzal Ahmed

Graduate Thesis and Dissertation post-2024

Carbon dioxide (CO₂) is increasingly being used as a highly efficient, environmentally friendly and sustainable refrigerant/heat transfer fluid. Because of its high specific heat and cooling capacity, supercritical CO₂ has the potential to be widely used in a range of applications, such as power generation and thermal management of data centers/electronics. Near the critical condition, the thermo-physical properties undergo drastic changes, which includes a boiling-like phenomenon in the supercritical region (pseudo-boiling), which can affect the heat transfer performance. Thus, knowledge about the heat transfer process in the supercritical phase of CO₂ is necessary. In this experimental …

Using Electroencephalography To Predict Metabolic Cost, Jordan Grubb

Graduate Thesis and Dissertation post-2024

Electroencephalography (EEG) is a technique used to non-invasively record electrical signals from the brain that can be used to understand how the brain functions and controls movements. EEG, however, is susceptible to recording electrical artifact signals that do not originate from brain activity. Common artifacts that come up in EEG data are generated by eye movements, heart contractions, muscle contractions, motion artifacts, electromagnetic interference signals, and powerline noise. These artifacts are often filtered out of EEG data or reduced to clean the signals and preserve the information from the brain. However, some of these signals may provide useful information about …

Corporate Restructuring Spin-Off In A Technical Project-Based Organization, Stephen J. Davis

Graduate Thesis and Dissertation post-2024

A technical project-based organization (TPBO) is a type of organizational setup that uses project management as the main economic driver. An TPBO tends to be adept at accepting change due to its inherent trait of constant change within the organization as resources move from project-to-project accepting scope changes along the way. Regardless of its ability to accept more change, every organization goes through a lifecycle. At some point, the organization must implement a change in the life cycle to avoid failure. A corporate restructuring spin-off is one way an organization can avoid organizational failure. Although the tool is used in …

Agile Healthcare: The Effects Of Information Technology Ambidexterity And Human Resource Practices On Workforce Agility And Job Performance, Jorge Flavio Sarmiento Falla

Graduate Thesis and Dissertation post-2024

Healthcare organizations grapple with uncertainties and rapid changes, necessitating agility within their workforce. However, empirical studies on healthcare agility are notably scarce, impeding efforts to foster an agile workforce. Through a systematic literature review, human-related dimensions and information technology aspects were found to be relevant to healthcare agility. This study addresses the impact of Information Technology Ambidexterity (ITA) and Human Resource Practices (HRP) on establishing Workforce Agility (WA). Subsequently, the study also addresses the importance of WA for the job performance of healthcare professionals. Lastly, it evaluates the mediation effect of WA on the impact of both ITA and HRP …

Ceramic Matrix Composites For Hydrogen Combustion, Christopher Varela

Graduate Thesis and Dissertation post-2024

As we strive towards a clean energy economy with net-zero carbon emissions, a goal the country plans to reach by 2050, advancements in material technology must be made to allow for clean fuels like hydrogen to be employed in power generation processes. The significantly higher energy content and lack of greenhouse gas emissions characteristic of hydrogen fuel make it an attractive alternative to traditional fossil fuels. However, the increased flame temperature and chemical corrosivity introduced by the water vapor generation of hydrogen combustion pose a risk to the materials used in current gas turbine engines. Furthermore, the small molecule size …

Typography And English As A Second Language (Esl) Reading: Impact Of Variable Font Width, Letter Spacing, And Line Spacing On Reading Performance And Experience, Md Mamunur Rashid

Graduate Thesis and Dissertation post-2024

The mixed-method experimental study explores whether basic alterations in digital text formatting can enhance reading performance and experience of reading for the adult English as a Second Language (ESL) populations. Native English speakers are included as a comparison group. The study specifically examines the effects of varying font width, letter spacing, and line spacing on reading speed, comprehension, and self-reported levels of enjoyment and perceived difficulty.

The participants comprise 459 proficient adult readers, split between native English, native Spanish, and native Mandarin speakers. Each participant silently reads a series of 150-word English passages at an 8th-grade difficulty level, with manipulations …

Architectural And Training Regime Modifications To Transformer Models For Low Data Applications, Azwad Tamir

Graduate Thesis and Dissertation post-2024

A significant catalyst of the recent Artificial Intelligence and Machine Learning revolution is attributed to large language models (LLMs), which include many prominent AI systems such as ChatGPT, Bard, and Gemini. The majority of high-performance LLM models are based on the transformer architecture and the primary factor behind the recent enhancement in the performance of these models is attributed to the increase of layer quantity and dimensionality, resulting in an exponential rise in the total number of learnable parameters, necessitating substantial data for effective training. This may pose a significant barrier in certain application domains, such as bioinformatics, pharmaceutical research, …

Ammonia For Aviation, Brandon Cotto

Graduate Thesis and Dissertation post-2024

Aviation’s share of total global carbon emissions has been on the rise as both the decarbonization of other industries and the number of flights has increased. Ammonia as a jet fuel has been receiving attention as a potential carbon free energy storage pathway, both as a fuel and as a carrier of hydrogen. Utilizing ammonia as a fuel requires energy intensive processes making this pathway a compromise specifically intended for power generation purposes that cannot directly use sustainable energy. It is pertinent to understand the cost of realizing ammonia’s advantages as a fuel in the hard to decarbonize industry of …

Bridging Data And Theory: A Gray-Box Approach To Traffic Flow Dynamics, Shakib Mustavee

Graduate Thesis and Dissertation post-2024

The dissertation demonstrates the applicability of the data-driven dynamical systems (DDS) approach at both macroscopic and microscopic scales to extract mathematical structures from observed traffic data. Firstly, a novel DDS model is developed to capture the evolution of queue lengths in a signalized arterial corridor, dividing the dynamics into quasiperiodic and chaotic components. The proposed model effectively captures nonlinear dynamics from time series data. The Reproducing Kernel Hilbert Space (RKHS) method is employed to estimate mathematically guaranteed Koopman eigenvalues and functions of the system, providing valuable insights into the periodic and chaotic behaviors of the system. Secondly, to further characterize …

Advanced Analysis Of Mode Veering Variations In Academic Blisks, Nicolas Olore

Graduate Thesis and Dissertation post-2024

This thesis presents an in-depth investigation into the vibrational dynamics of bladed disks (blisks), with a focus on understanding the conditions that lead to mode veerings and shifts in natural frequencies under varying geometric configurations. By utilizing maps of frequencies across nodal diameters, this study explores the effects of altering inner and outer disk radii, blade Aspect Ratios, and height ratios on the modal behavior of blisks. The study analyzes these geometric modifications to determine their influence on both mode interactions and frequency shifts, offering insights into how the number of veerings can be controlled. Mode veerings are of particular …

Robust Machine Learning Based Frameworks For Localization And Mmwave Beam Prediction In Massive Mimo Systems, Katarina Vuckovic

Graduate Thesis and Dissertation post-2024

The primary focus of this doctoral dissertation is the investigation of robust massive Multiple Input Multiple Output (MIMO) communication systems. The study centers on two closely related issues: i) single-site user localization, and ii) millimeter Wave (mmWave) beam prediction. The motivation is to develop a system that simultaneously offers users reliable communication and precise localization using a single infrastructure. This dissertation specifically addresses three key challenges in data-driven solution: i) the limited availability of position-labeled training datasets, ii) robustness in time-varying dynamic environments, and iii) the generalization of models to unseen scenarios. The study introduces three localization and two beam …

Non-Contact Lap-Splice Design With Ultra-High-Performance-Concrete For Seismic Buildings, Tiancheng Wang

Graduate Thesis and Dissertation post-2024

Controlling the location and strength of plastic hinges is crucial for maintaining the integrity of seismic-resistant structures during seismic events. Although advanced materials, new structural systems, and supplemental damping devices have been extensively researched, conventional reinforced concrete detailing can also effectively achieve this control. This study explores a controllable slippage mechanism in lap-splice configurations of monolithic ultra-high performance concrete (UHPC) members to regulate the location and capacity of plastic hinges in concrete building frames. UHPC's superior tensile, compressive, and bond strengths, compared to normal strength concrete (NSC), enable the use of strategically placed lap splices with short lap lengths. This …

Towards Label Efficiency And Privacy Preservation In Video Understanding, Ishan Rajendrakumar Dave

Graduate Thesis and Dissertation post-2024

Video understanding involves tasks like action recognition, video retrieval, human pose propagation which are essential for applications such as surveillance, surgical videos, sports analysis, and content recommendation. The progress in this domain has been largely driven by advancements in deep learning, facilitated by large-scale labeled datasets. However, video annotation presents significant challenges due to its time-consuming and expensive nature. This limitation underscores the importance of developing methods that can learn effectively from unlabeled or limited-labeled data, which makes self-supervised learning (SSL) and semi-supervised learning particularly relevant for video understanding. Another significant challenge in video understanding is privacy preservation, as methods …

Computational Approaches To Study Post Transcriptional Regulation Events, Naima Ahmed Fahmi

Graduate Thesis and Dissertation post-2024

A simplistic understanding of the central dogma falls short in correlating the number of genes in the genome to the number of proteins in the proteome. Post-transcriptional regulation, including alternative splicing and alternative polyadenylation contribute to the complexity of the proteome and is critical in understanding gene expression. In this dissertation, we aim to provide genome-wide detection and visualization of the transcript variants and quantify their significance in gene regulation. First, we propose a robust computational program to identify alternative splicing events from RNA-seq data, called AS-Quant. Our extensive experiments on simulated and real datasets demonstrate that AS-Quant can accurately …

Thermal Analysis Of Additively Manufactured Aluminum F357 And Inconel 718 In High-Enthalpy Hypersonic Flows, Andrew La Sorsa

Graduate Thesis and Dissertation post-2024

Hypersonic vehicles are not only limited by the propulsion systems needed to achieve such speeds but also by the conventional materials currently at hand. At speeds of Mach 5 and above, sections of the vehicle can experience local temperatures exceeding 3000 K, which can severely degrade any material not rated to withstand such extreme environments. This warrants the need for developing novel high-temperature resistant materials to be safely integrated into hypersonic vehicles. Additive manufacturing has been identified as a solution to the process of creating these materials and offers increased design flexibility and quality compared to conventional fabrication methods. A …