Digital Commons Network^™

Winter Olympics 2026 Part 2, Richard C. Crepeau

On Sport and Society

The first week of competition in the Winter Olympics has ended. Figure Skating is always a big story in week one, but no one could have anticipated just how big it would become, as I discussed previously. There were, of course, many other stories and performances, which revealed both highs and lows, and the occasionally silly.

The Olympics Part I, Richard C. Crepeau

On Sport and Society

Some Olympic events, especially those in which judges play a role, often end in controversy. National bias or style preferences can override technical skills in scoring by some judges. Sometimes none of these come into play, and the performances are at such a high level and differ technically only by an eyelash. In the figure skating dance competition that ended on Wednesday evening in Milan this, in my view, was the case.

2026 Ucf Book Arts Competition Official Entry Form, Special Collections & University Archives

Libraries' Documents

No abstract provided.

Explain. Write. Edit. Summarise: An Exploratory Study On Agency Negotiations In Student-Chatbot Conversations, Árni Már Einarsson Mr, Ekaterina Pashevich

Human-Machine Communication

LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine existing practices. Supplementing prior research based on discourse analysis and self-reported measures (e.g., surveys and interviews), we propose an approach for analyzing naturally occurring student–chatbot interactions, rooted in conversation analysis of chats (n = 503) donated by eight current Danish university students. The analysis identifies conversational patterns across three main types of activities and examines how agency is negotiated across the structural dimensions of signification, domination, and …

Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain

Data Science and Data Mining

Heart disease remains a leading cause of mortality worldwide, underscoring the importance of accurate and transparent methods for early diagnosis. While many machine learning and artificial intelligence models have demonstrated strong predictive performance, their limited interpretability poses challenges for clinical adoption. In this study, we evaluate three interpretable linear classification models—Generalized Linear Model (GLM) logistic regression, L1-regularized (Lasso) logistic regression, and Linear Discriminant Analysis (LDA)—for heart disease prediction using the Cleveland Heart Disease dataset. Following comprehensive data preprocessing, the models are assessed on a held-out test set using standard evaluation metrics, including accuracy, precision, recall, F1-score, and the area under …

Predicting Male Flowering Time In Maize Using Machine Learning Technique, Dipok Deb

Data Science and Data Mining

This study compares three machine learning approaches—Elastic Net, Principal Component Regression (PCR), and Partial Least Squares (PLS)—for variable selection and prediction within a high-dimensional Maize-GWAS framework. The goal was to accurately predict the complex polygenic trait of time to male flowering while managing the challenges of numerous, highly correlated genetic markers. The ENET model, which combines l1 and l2 penalties, delivered the highest predictive accuracy and successfully identified a select subset of the most influential genetic variants. In contrast, PCR and PLS, both utilizing dimension reduction, offered a significant advantage in computational speed and model stability. The findings confirm that …

Meeting Minutes 01-21-2026, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.

Data-Driven Prediction Of Superconducting Critical Temperature: A Linear And Regularized Linear Modeling Approach, Dipok Deb

Data Science and Data Mining

This study adopts a data-driven approach to estimate the critical temperature of superconducting materials using linear machine learning models. A comprehensive dataset derived from material physico-chemical properties was analyzed after systematic preprocessing and standardization. Three linear modeling strategies—Linear Regression, Ridge Regression, and Linear Regression with Subset Selection—were developed and evaluated using standard regression performance metrics. The findings demonstrate that both basic and regularized linear models can effectively capture the relationship between material features and superconducting behavior, offering robust and interpretable predictions. While feature selection enhances model transparency, it comes with a modest reduction in predictive capability. Overall, this work emphasizes …

Digital Redlining In The Smart City: Artificial Intelligence, Housing Law, And Structural Urban Inequality, Spurthi Nrusimhadevara

Undergraduate Scholarship and Creative Works

Artificial intelligence is increasingly used in urban housing systems, where it shapes decisions about tenant screening, rent pricing, lending, zoning, and neighborhood investment. Although these tools are often promoted as efficient and impartial, they frequently rely on historical data that reflect racial, economic, and spatial inequality. As a result, AI systems can reproduce discriminatory outcomes even when protected characteristics are not directly used. This paper examines digital redlining in the smart city and argues that algorithmic housing tools mirror long standing structural inequities that raise significant concerns under fair housing and civil rights law. It evaluates how automated screening, predictive …

Music Interventions For Critically Ill Patients: Evaluating Effects Of Music On Psychoemotional Symptoms In Critically Ill Patients Receiving Respiratory Support, Allyson Crighton

Honors Undergraduate Theses

Critically ill adults receiving respiratory support in intensive care units (ICUs) frequently experience psychoemotional disturbances such as agitation, anxiety, and delirium, which contribute to prolonged ventilation, increased sedative use, and adverse patient outcomes. While pharmacologic management remains standard practice, associated risks including oversedation and delirium highlight the need for safe, complementary interventions. Emerging evidence suggests that music-based interventions may offer a non-invasive, cost-effective strategy to reduce psychological or emotional distress in this vulnerable population. This integrative literature review examined the effects of music interventions, including passive music listening and structured music therapy, on agitation and related psychoemotional outcomes in critically …

Parenting Stress And Its Association With Parental Technoference: An Integrative Literature Review, Emily S. Machuca

Honors Undergraduate Theses

Introduction: Today, digital devices are a part of daily life, but can serve as a distraction that interrupts important relationships, a process referred to as technoference. In the context of parenting, device use during child interactions may reduce parental attentiveness and engagement, with potential implications for child development and behavior. Parenting stress may influence how and why parents engage with digital devices in the presence of their children. However, the association between parenting stress and parental technoference remains unclear in the current literature. This integrative literature review aimed to synthesize existing evidence examining the relationship between parenting stress and parental …

Examining The Effectiveness Of Icu Diaries In Reducing Post–Intensive Care Syndrome (Pics) Psychological Symptoms: A Rapid Review Of United States–Based Studies, Lananh Tran

Honors Undergraduate Theses

Background: The growing recognition of Post-Intensive Care Syndrome (PICS) has prompted investigation into interventions, such as ICU diaries, to mitigate the long-term psychological effects of PICS. Intensive care unit (ICU) diaries – journals written by clinicians and loved ones during an ICU admission – are a tool that can help patients reconstruct the events of their critical care experience. Entries in the diary may include clinical updates, explanation of treatments, and encouraging words from loved ones or staff. Previous research in European countries found ICU diaries may be effective in reducing psychological effects post ICU admission.

Research question: The aim …

The Cypress Dome 2026, Issue 37, The Cypress Dome Society

The Cypress Dome

The Cypress Dome Society is the University of Central Florida’s literary organization staffed by undergraduate students. Named after a feature of the landscape on the UCF campus, we are dedicated to fostering the literary arts and promoting a sense of community among writers and artists through events and our annual publication, The Cypress Dome, UCF’s undergraduate literary journal.

Show Your Work: Assessment In The Age Of Ai, Kevin Yee, Laurie Uttich, Elizabeth Giltner, Anastasia Bojanowski

UCF Created OER Works

The fourth book from a team of college instructors who have been in the trenches of AI and higher education since the beginning, Show Your Work: Assessment in the Age of AI is a practical, discipline-spanning guide for educators who are ready to redesign their assignments for a world where AI is a given. Organized around three approaches—co-creating with AI, writing without it, and finding alternative AI-resistant assessments—this book offers more than 50 concrete strategies that faculty can mix, match, and adapt to their own courses and contexts. Whether you want to integrate AI as a learning tool, build assignments …

University Of Central Florida Graduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Social Media, Fitness, Gender, And Rhetoric, Emily M. Potts

High Impact Practices Student Showcase Spring 2026

The goal for this study was to find how TikTok uses rhetoric to argue about effective workout routines for males versus females and what values or ideologies does this rhetoric help to promote. People tend to take health and fitness advice from social media although it is not the most creditable place. Understanding how people on TikTok use rhetoric to argue about effective workouts for males versus females and what values and ideologies this rhetoric helps to promote is a gap, although it affects a significant amount of people in today's society.

To discover how rhetoric is used in this …

Punta Gorda, Honduras: History, Culture, And The Heart Of The Garifuna People, Chassidy Diaz

High Impact Practices Student Showcase Spring 2026

Along the northern coast of Honduras, where the Caribbean Sea meets lush tropical landscapes, lies the village of Punta Gorda, a place where history, culture, and identity intertwine. Known as one of the earliest Garifuna settlements in Central America, Punta Gorda is more than just a village; it is a living testament to resilience and heritage. The Garifuna people, descendants of West African, Indigenous Caribbean, and Arawak ancestries, arrived on these shores in the late 18th century after being exiled from St. Vincent and the Grenadines, bringing with them a rich cultural legacy that continues to thrive today.

In Punta …

What Truly Drives Graduate Earnings?, Aiden Akbarov

High Impact Practices Student Showcase Spring 2026

The goal of my project, Predicting the Paycheck: What Factors Truly Influence Graduate Earnings?, was to see if we could actually predict a college graduate's starting salary using data instead of just guessing. I used a dataset of 172 majors from the American Community Survey to look at how a student's field of study, the gender balance of their major, and the current job market all impact their first paycheck. I wanted to create a tool that helps students understand the financial reality of their degree before they even graduate.

To get my results, I used a Multiple Linear Regression …

Kbootrepair: Automated Llm Guided Repair Of Linux Kernel Boot Failures, Ryan P. Garfinkel

Honors Undergraduate Theses

The Linux kernel is an actively developed, highly configurable system software that supports a diverse range of platforms. Kernel fuzzers, like Google’s syzkaller, have been embraced to find bugs, but they require bootable configurations that work in their environment. However, these tools rely on a set of configurations that exclude most code changes. Each option controls which code is included when the kernel compiles. Making modifications requires extensive knowledge, as there are over 15,000 interrelated configuration options. While prior work has used formal methods to guarantee configuration validity, this doesn’t guarantee bootability. In this paper, we introduce KBootRepair, an iterative …

Constrained Dynamics Of Rapid Orbit Motion Emulator (Rome) Using Udwadia-Kalaba Approach, Keanu Brayman

Honors Undergraduate Theses

The Rapid Orbit Motion Emulator (ROME) is designed to be a hardware-in-the-loop (HIL) testbed for orbital control algorithms. It consists of a four-wheeled ground vehicle and a six-degree-of-freedom robotic manipulator. This work investigates the use of optimal control to execute orbital trajectories on ROME using the Udwadia-Kalaba (UK) formulation to model the system dynamics. The UK formulation is a novel method to derive equations of motion for constrained systems. Unlike traditional approaches, the UK approach can be applied directly to any constrained dynamical system. This project utilizes the UK approach to derive dynamics with trajectory following constraints for the ROME …

Non-Invasive Detection Of Intracranial Pressure, Andrei V. Nesterenko

Honors Undergraduate Theses

Intracranial pressure is a critical metric used when managing tumors, strokes, TBIs, hydrocephalus, and other operative conditions. Traditional methods for continuous ICP monitoring, intraparenchymal catheters, epidural transducers etc., are invasive and carry a high risk of infection. Previous attempts to create accurate, easy to use, and non-invasive ICP monitoring techniques have been unsuccessful. In this study, we investigated the utility of supraorbital and posterior auricular photoplethysmography to monitor changes in ICP during orthostatic tilt and hyperventilation, which increase and decrease ICP respectively.

Through a continuous 5-minute recording on a tilt-table we characterized SOA and PAA waveforms in 12 participants (ages …

Aeroelastic Simulation Of Shape Adaptive Wing, Allan Alfred Kozich Iii

Honors Undergraduate Theses

Morphing wings provide aerodynamic qualities that normal fixed wings cannot, such as the ability to improve endurance yet maintain maneuverability, overcome strong gusts, vibrations, and shocks, and handle both ideal flight for both high and low speeds. A critical application of the new generation of morphing wings is the ability to overcome and affect the onset flutter, a self-excited oscillatory instability that has led to the destruction of aircrafts. This work investigates aeroelastic behavior and measurement of a meta-material structured "smart" wing and its attempt to delay the effect of flutter. The variable wing tip model is analyzed through finite …

The Vagabond Way: A Qualitative Study Of Intentional Non-Participation In Structured Society, Lorena E. Black

Honors Undergraduate Theses

This study analyzes intentional vagabondage as both a philosophical position and a lived critique of structured society. Using qualitative fieldwork conducted at Fairlawn Family Church in Fort Pierce, Florida—including ten semi-structured interviews, participant observation, and grounded theory analysis—the study examines how individuals who voluntarily disengage from formal systems of housing, labor, and legality construct meaning, identity, and stability beyond institutional boundaries. The analysis identifies three central themes: rhythm, referring to the patterned routines that sustain mobility; reciprocity, which characterizes social exchange and support networks; and refusal, expressed as a deliberate rejection of societal expectations. While many participants describe their paths …

Laser Beam Shaping Using A Neural Network, Azeem A. Hakim

Honors Undergraduate Theses

Multiphoton lithography (MPL) is a method of laser-based 3D-printing for fabricating micron-scale structures point-by-point in a photopolymerizable medium. MPL’s high-resolution capabilities have made it a powerful method for the fabrication of many devices, such as microelectromechanical systems (MEMS) and tissue scaffolds.  The throughput of MPL processes can be increased by using spatially shaped laser beams that expose large areas or volumes simultaneously. A laser beam can be reshaped by passing it through a spatial light modulator (SLM) displaying a pre-designed phase mask. One type of laser beam profile used for this purpose is the Bessel beam, a type of structured …

Participatory Barriers And Single-Member Districts In Planning For Latino Demographics: A Spatial Analysis Of Osceola County, Florida, Amy Garcia Paniagua

Honors Undergraduate Theses

This mixed-methods case study on Osceola County, Florida examines how participatory barriers shape planning outcomes for Latino communities within single member district systems. Demographic transformation has shaped Osceola into one of three Hispanic/Latino majority counties. For Latinos, unique barriers to civic access exist, with the potential for exclusion in planning processes. The research bridges participatory planning theory with theories supporting single-member district electoral representation by evaluating whether district-level governance mitigates inequities where civic engagement is constrained. Methods integrate GIS-based spatial analysis with an institutional review of district-level actions to assess relationships between Hispanic civic accessibility and planning equity. Two composite …

Survey Measures On Perinatal Cannabis Use, Aaditya Balasubramaniyan, Jacquelyn Reiss, Amy Donley

Institute for Social and Behavioral Science (ISBS)

No abstract provided.

The Effects Of Stress-Related Hormones On Excitatory Synapse Formation, Autumn C. Garvey

Honors Undergraduate Theses

Stress profoundly influences brain function through neuromodulatory hormones that regulate synaptic plasticity, yet how temporal patterns of hormone exposure shape excitatory synapse formation remains poorly understood. This study investigates how exposure to stress hormones, norepinephrine and cortisol, affects excitatory synapse development. While existing research primarily compares concentration models, real-world stress occurs in variable patterns that may produce distinct neural outcomes. To address this gap, differentiated Neuro2A neuronal cells are exposed to norepinephrine or cortisol under a continuous treatment paradigm designed to model chronic stress conditions. Following treatment, immunofluorescence imaging is utilized to quantify excitatory synapse formation through analysis of presynaptic …

Comparative Analysis Of Serum-Free Culture Conditions On Cell Proliferation And Extracellular Vesicle Production By Adipose-Derived Stem Cells, Ayna Ghulldu

Honors Undergraduate Theses

Adipose-derived stem cells (ADSCs) are promising candidates in regenerative medicine due to their proliferative capacity, self-renewal, and secretion of extracellular vesicles (EVs) that mediate intercellular communication. Serum-free media has been increasingly explored for MSC culture as it eliminates xenogeneic components, improving human therapeutic suitability. However, comparative evaluation of distinct serum-free formulations on ADSC proliferation and EV output simultaneously remains limited. This study compares a serum-containing medium to three proprietary serum-free media prototypes differing in composition, including the presence or absence of extracellular matrix proteins, to inform the optimization of culture conditions for clinical use. Proliferation, EV characteristics, and gene expression …

The Depuration Of Microplastic Pollution In Aquacultured Indian River Lagoon Oysters, Lee Nguyen

Honors Undergraduate Theses

Plastics are widely used in consumer goods and industrial manufacturing, and their degradation into microplastics (MP, size < 5 mm) has created an emergent environmental pollutant. Plastics readily enter aquatic environments, where they accumulate additional contaminants and bioaccumulate in organisms. While MP contamination in marine ecosystems is well documented, less is known about MP presence in aquacultured shellfish. Depuration, the process of purging contaminants from shellfish, is conducted in sterile seawater without food, which may cause oyster starvation and death. To date, MP depuration has not been examined in the aquacultured eastern oyster (Crassostrea virginica) in published studies. This study had 3 goals: 1) evaluate the effects of algal feed on oyster survival during depuration, 2) determine the effect of algal feed on depuration effectiveness, and 3) investigate the effect of a ten-day depuration on MP concentration in aquacultured C. virginica soft tissue. MP were quantified in oyster tissues, biodeposits, and in industrial algal feed. Tissues were digested using alkaline solutions, manually examined via microscopy, and analyzed using Fourier-Transform Infrared Spectroscopy (FTIR) to investigate MP polymer …

The Impact Of Gastric Sleeve And Roux-En-Y Gastric Bypass On Chief Cell Function And Protein Digestion In Obese Patients, Garikoitz Mikel Gainza

Honors Undergraduate Theses

Obesity has become one of the largest global health concerns of the 21^st century, correlating with numerous associated diseases. To help address the growing prevalence and burden of obesity, sleeve gastrectomy and Roux-en-Y gastric bypass have become two commonly performed surgical procedures done to promote weight loss by altering the anatomical structure of the stomach and surrounding organs of the gastrointestinal system. Although the benefits of improved metabolism linked to these surgical procedures are well studied, their impact on the physiology of gastric cells, and more specifically chief cells as they relate to protein digestion post-surgery, is yet to …