Digital Commons Network^™

Predicting Airbnb Prices In Dubai Using Machine Learning, Hamad Younus Altamimi

Theses

The Airbnb rental market in Dubai is dynamic and full of varying factors like location, equipment, and demand time shortages, which makes it challenging to have fair pricing for the different levels of Airbnb properties in Dubai. The goal of the project was to construct a powerful machine-learning model for the forecast of the Airbnb rental price in Dubai The method used by the project was systematic from the beginning to the end stages, which included the data collection from Kaggle, the data preprocessing which involved the handling of missing values, outlier elimination, data type conversion, and exploratory data analysis …

Resilient Power System Load Frequency Control, Ghadeer Ahmed Almahri

Theses

Standard frequency and voltage levels need to be maintained when the electric power system is running in order to keep it in a satisfactory state of operation. Between AC power generation and use, there should be a balance between active and reactive power. However, due to variations in active and reactive power requirements, the frequency and voltage provided may fluctuate from their rated values. Any unwelcome change in frequency or voltage can have an immediate effect on how the power system operates and may even cause harm to linked devices. These parts are intended to operate at certain rated frequencies …

Study Of An Evolutionary Sequence Of Nearby, High-Excitation Bipolar Planetary Nebulae With Alma And Hst, Paula M. Moraga Baez

Theses

Planetary nebulae (PNe) reveal the near-final stages of the evolution of intermediate-mass (1-8 solar mass) stars, immediately after such stars shed their envelopes through copious asymptotic giant branch (AGB) mass loss. PNe reveal products of intermediate-mass stellar nucleosynthesis just before they enrich the interstellar medium, and their central stars provide subjects for studying the origins of white dwarfs and interacting binary systems involving compact objects. The processes that shape planetary nebulae and determine their chemistries can be unveiled through multiwavelength observational studies of molecule-rich PNe ranging from young and rapidly evolving nebulae, such as NGC 7027, NGC 6302, and NGC …

Reliability Of Popliteal Artery Flow-Mediated Dilation In The Seated Position, Taskina Akhter, Patrick B. Wilson, J. David Branch, Leryn J. Reynolds

Exercise Science Faculty Publications

Flow-mediated dilation (FMD), a noninvasive measure of endothelial function, is commonly measured in the popliteal artery in the supine and upright body positions. However, reliability studies of the measurement in these positions are not well studied. This study aimed to examine the trial-retrial and visit-to-visit reliability of popliteal artery FMD in the seated position. Popliteal artery FMD was measured in 20 healthy adults across two visits in the seated and prone positions to assess visit-to-visit reliability. Two measurements were taken for each body position at each visit to assess trial-retrial reliability. %FMD was calculated as the percent change from baseline …

The Dna Demethylase Tet1 Modifies The Impact Of Maternal Folic Acid Status On Embryonic Brain Development, Lehua Chen, Bernard K Van Der Veer, Qiuying Chen, Spyridon Champeris Tsaniras, Wannes Brangers, Harm H M Kwak, Rita Khoueiry, Yunping Lei, Robert Cabrera, Steven S Gross, Richard H Finnell, Kian Peng Koh

Faculty, Staff and Students Publications

Folic acid (FA) is well known to prevent neural tube defects (NTDs), but we do not know why many human NTD cases still remain refractory to FA supplementation. Here, we investigate how the DNA demethylase TET1 interacts with maternal FA status to regulate mouse embryonic brain development. We determined that cranial NTDs display higher penetrance in non-inbred than in inbred Tet1−/− embryos and are resistant to FA supplementation across strains. Maternal diets that are either too rich or deficient in FA are linked to an increased incidence of cranial deformities in wild type and Tet1+/− offspring and to …

Conversion Of Orange Waste To Chemically Modified Activated Carbon Adsorbent Materials For Aqueous Phase Phosphate Removal, Sierra Mugan

Electronic Theses and Dissertations 2020 - Present

Phosphorus pollution in surface waters drives harmful algal blooms, creating ecological, public health, and economic risks. This study examined citrus processing waste as a sustainable, low-cost precursor for producing chemically modified adsorbents for phosphorus removal. Orange waste was pyrolyzed, resulting in a carbon-rich material with low ash content, as confirmed by thermogravimetric analysis. The material was modified using lanthanum chloride, iron (III) chloride, and calcium chloride at varying mass ratios and screened under standard conditions (1 mg P/L, 1 g/L dosage, 24-hour contact time). Lanthanum- and iron-modified samples demonstrated the best removal efficiencies and underwent further evaluation. The lanthanum-modified sample …

Can Servant Leadership Reinvigorate Communities Of Faith, Jonathan Owens

Electronic Theses and Dissertations 2020 - Present

This study examined the relationship between servant leadership characteristics and church growth in Episcopal congregations. Using quantitative analysis, the research assessed whether leadership characteristics—such as emotional healing, creating value for the community, conceptual skills, empowering followers, helping followers succeed, putting followers first, and behaving ethically—were significant predictors of numerical growth. Data were collected from 40 churches (20 growing, 20 declining), with leadership perceptions measured through a validated servant leadership instrument.

The findings indicate that while growing churches exhibited slightly higher mean scores across several servant leadership characteristics, none of the differences were statistically significant. Logistic regression analysis further demonstrated that …

Sleep Quality, Volumetric Brain Biomarkers For Ad, Executive Function, & Cognitive Decline In Older Adults, Layaly Shihadeh

Electronic Theses and Dissertations 2020 - Present

Objective: Our aims were to examine differences in sleep quality sub scores and total scores across diagnostic groups cross-sectionally and longitudinally, correlate executive function scores and volumetric biomarkers of AD (prefrontal cortical and hippocampal volumes) with sleep quality scores, and explore how demographic variables may serve to moderate how sleep quality effects diagnosis. Method: 381 participants were classified into 3 diagnostic groups (Cognitively normal (CN), mild cognitive impairment (MCI), and dementia) based on the CDR global score. Prefrontal cortical volume, hippocampal volume, and PSQI total and sub scores were used as predictors of progression status. Daytime dysfunction, sleep duration, and …

Beneficent Artificial Intelligence In The Age Of The Thing: A Case Study Of The Palm Beach County Library System, Philip J. Smith

Electronic Theses and Dissertations 2020 - Present

With this thesis, I explore how Palm Beach County Library System administration and the broader county government are managing the advance of artificial intelligence and seeking actionable resolutions to the artificial intelligence dilemma. Due to power differentials, triangulation required me to adopt a humanist, perspectival approach. I collected data from participant observations, reflective fieldnotes, literature review, and transcription of an interview, all of which informed my interpretations. Albeit colored by past experiences, I relate my professional familiarity in a customer service training role and express the importance of engaging patron experience that is service-oriented, ongoing training intended to recenter the …

Materia Non Medica: Reading Disability And Medical Narratives In The Daughter Of Doctor Moreau, Jessica Elizabeth Young

Electronic Theses and Dissertations 2020 - Present

This thesis presents a close reading of The Daughter of Doctor Moreau by Silvia Moreno-Garcia, engaging Indigenous studies and disability studies to illuminate how the novel interrogates embodiment, medical authority, and human difference. By situating the text within historical frameworks of medicine and corporeality in Mexico, and alongside speculative modes that seek to recuperate non-Western epistemologies, the analysis reveals how Moreno-Garcia reimagines the body as mutable, relational, and politically charged. The narrative’s hybrid characters and transgressive identities offer a generative lens through which to explore bodily variance, not as deviation, but as a site of possibility. Ultimately, this thesis argues …

Exploring The Role Of Online Discussion Forums In Endorsing Egyptian Undergraduates’ Efl Learning, Wesam Khairy Morsi

English Language and Literature

eLearning Management systems (eLMS) are software applications used in universities worldwide to implement specific educational goals. eLearning platforms have several features that support traditional Face to Face (FTF) teaching and provide valuable opportunities for independent, self-paced learning. One of these features is the Online Discussion Forums (ODFs). This research paper investigates the role of ODFs in endorsing English as a Foreign Language (EFL) learning by examining students' perceptions of its accessibility, peer/instructor interaction, assessment criteria, and discussion topics. The paper also investigates the influence of gender on students' perceptions of the role of ODFs. This is a non-experimental research design, …

On High-Speed Breakup Of Water Droplets Behind High Mach Number Shocks, Sydney M. Briggs

Graduate Thesis and Dissertation post-2024

Water droplet breakup in high-speed flow is a relatively popular experimental study to analyze breakup mechanisms. There is a plethora of experiments performed at low Mach number and low Weber number, but studies with higher speed flows and higher Weber numbers are less common. In this study, water droplet breakup is assessed using high-speed shock waves (Mach 2.3-above Mach 5) in a shock tube. Multiple methods are used to introduce droplets, and multiple different water purity levels are considered. An assessment was made into whether cavitation played a role in the breakup process physically, as this has been a budding …

Synthesis And Evaluation Of Chalcones As Treatment For Negative Sense Single Stranded Rna Viruses And Applications As Broad-Spectrum Antivirals, Lorael Kirton

Graduate Thesis and Dissertation post-2024

Chalcones are a class of compounds naturally found in plants and are predicated upon a 1,3-diphenylprop-2-en-1-one scaffold. Chalcones possess many biological activities ranging from anticancer to antiviral activities. This thesis investigates the broad-spectrum antiviral properties of chalcones. Some chalcones have been reported to affect host cell mechanisms such as mammalian target of rapamycin (mTOR) signaling cascade or the cell cycle to reduce viral replication. Previously, a series of chalcones 8 were synthesized and investigated in human cytomegalovirus virus (HCMV) and human immunodeficiency virus (HIV). In this study, ten new chalcones predicated upon the design of 8 were synthesized and a …

Mechanistic Insights Into The Antimicrobial Action Of Fungus-Derived Xanthoquinodins Against Clostridioides Difficile, Erika A. Serravalle

Graduate Thesis and Dissertation post-2024

The bacterial pathogen Clostridioides difficile is the leading cause of antibiotic- and healthcare-associated diarrhea, imposing significant clinical and economic impacts. The emergence of hypervirulent strains, such as PCR ribotype 027 (RT027), has exacerbated disease severity, recurrence rates, antibiotic resistance, and epidemiological spread. Expanding resistance profiles among C. difficile strains continue to limit the effectiveness of current IDSA-SHEA recommended therapies, which are already compromised by high recurrence rates due to antibiotic-induced disruption of the gut microbiota. These challenges highlight the urgent clinical need to identify and characterize antimicrobial compounds targeting alternative pathways in C. difficile physiology. We report the discovery and …

Deep Reinforcement Learning-Based Optimal Takeoff Trajectory Design Of An Evtol Drone, Nathan M. Roberts, Bingling Huang, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The continuing development of electric vertical take-off and landing (eVTOL) aircraft presents promising opportunities to alleviate transportation congestion. However, designing and executing takeoff trajectories that optimally balance energy usage, passenger comfort, and aircraft constraints remains challenging. Conventional design optimization provides a solution for pre-defined flight conditions and environments but is not ideal in real-world applications. In contrast, deep reinforcement learning (DRL) implements optimal policy making real-time decisions with no assumption of mathematical models. Seeing the lack of literature on DRL-based takeoff trajectory design of eVTOL aircraft, we implement and conduct DRL-based optimal takeoff trajectory designs for the Airbus³ Vahana …

Genomic Consequences Of Habitat Fragmentation In The Florida Scrub-Jay: Diversity, Adaptation, And Disease Susceptibility, Maryam Ghoojaei

Graduate Thesis and Dissertation post-2024

Habitat fragmentation is a severe threat to biodiversity by reducing population size, gene flow, and adaptive potential, especially in habitat specialists like the Florida Scrub-Jay (Aphelocoma coerulescens). This dissertation integrates whole-genome sequencing and immunogenetics to assess the genomic consequences of habitat fragmentation across three primary Florida Scrub-Jay strongholds: Archbold Biological Station, Ocala National Forest, and Florida’s East Coast. In Chapter 2, I focused on adaptive genetic diversity at the Major Histocompatibility Complex (MHC) class II genes. I characterized MHC allelic richness, evaluated signatures of selection, and examined associations with pathogen infections. Despite population declines, I found moderate MHC diversity, suggesting …

A New Dawn Of Joy: How Joy Is Cultivated Among Black Transgender And Nonbinary Young Adults In Florida, Courtney Marciá Gardner

Graduate Thesis and Dissertation post-2024

The state of Florida had a record-breaking number of implemented and proposed policies between 2023-2024 that impacted transgender and nonbinary individuals. Black transgender and nonbinary people are particularly impacted by these policies due to the compounded effects of their race and gender identity. Nonetheless, despite the growing literature on Black transgender and nonbinary individuals, a lack of research exists examining positive aspects of intersectional experiences among Black transgender and nonbinary individuals. This qualitative study shifts away from deficit centered frameworks by investigating how Black transgender and nonbinary young adults in Florida cultivate joy in their lives. This study uses a …

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 …

The Effects Of Resistance Training Volume On Muscle Quality Among Older Adults, Kevan Knowles

Graduate Thesis and Dissertation post-2024

BACKGROUND: Age-related declines in muscle strength are more closely linked to deteriorations in muscle quality than muscle mass. Echo intensity (EI) measured by B-mode ultrasonography is a common non-invasive marker of intramuscular adiposity and fibrous tissue. Although high-intensity resistance training is effective, the added value of higher training volumes on muscle quality and strength in older adults remains unclear. PURPOSE: This study aimed to compare the effects of different resistance training volumes on various measures of muscle quality, size, and strength among older adults. METHODS: Twenty-five older adults were randomized to either moderate volume (2 sets per exercise) or high …

Understanding The Mechanism In Shaping Guest Acceptance Of Service Robots In Caribbean Hotels: The Moderating Role Of Cultural Familiarity In The Cac Model, Jamilia A. Lawrence

Graduate Thesis and Dissertation post-2024

Service robots continue to become increasingly popular in the hospitality and tourism industry. Understanding the cognitive and emotional processes is important in explaining the sequential processes of guests accepting new technologies. Especially in regions like the Caribbean, where human-to-human interaction and personalized services are highly valued.

This study investigates how cognitive evaluations of service robots, including utility, coolness, autonomy, courtesy, and interactivity, influence guests' emotional responses and their acceptance of the technology in Caribbean hotels. Additionally, the study explores the moderating role of cultural familiarity in the relationship between emotion and acceptance.

Using the cognitive-affective-conative (CAC) model, 415 responses were …

Change Point Monitoring In High-Dimensional Factor Models, Mahdi Mirhosseini

Graduate Thesis and Dissertation post-2024

This dissertation presents the Factor-Augmented Detection (FAD) algorithm, a robust methodological framework for online change point detection in high-dimensional data streams, grounded in classical factor model analysis. To tackle the challenges of monitoring large-scale datasets, the FAD algorithm decomposes data into a parsimonious set of common factors and sparsely changing idiosyncratic residuals, facilitating independent, targeted analysis of low-dimensional factor dynamics and sparse high- dimensional residual evolution.

Following decomposition, structural changes in the factor components are identified using established multivariate sequential monitoring techniques, specifically the Multivariate Cumulative Sum (mCUSUM) and Multivariate Exponentially Weighted Moving Average (mEWMA) procedures. Simultaneously, sparse alterations in …

Analysis Of An Aero-Engine Using Ammonia As A Fuel Carrier, Kangana Patel

Graduate Thesis and Dissertation post-2024

Numerous studies in the literature have explored the decarbonization of aviation. Some opt for sustainable aviation fuels (SAF), while others propose Hydrogen(H₂). Recent studies have also investigated Ammonia (NH₃) as a potential hydrogen fuel carrier. This study of NH₃ as a viable alternative fuel could help reduce overall emissions and overcome the challenges of H_2, which is highly flammable and difficult to store. This study aims to develop a core-engine model in a system simulation software called Simcenter Amesim. Results show a reasonable similarity between jet-A fuel and NH₃ cracked H₂ within …

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 …

Computational Methods For Population Genetic Inference Using Identity By Descent And Local Ancestry, Yuan Wei

Graduate Thesis and Dissertation post-2024

Identity by descent (IBD) and local ancestry are essential for population genetic inference, such as understanding genealogical relationships and demographic history through genomic data. With the availability of large and high-resolution datasets, new opportunities and computational challenges are brought for efficient and accurate methods to infer IBD segments and local ancestry. This dissertation presents three computational methods designed to assist in population genetic inference. First, RaPID-Query is introduced to efficiently query IBD segments for individual haplotypes over a large genotype dataset. This method is based on the positional Burrows-Wheeler transform (PBWT) algorithm and utilizes a random projection approach. RaPID-Query is …

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 …

Holographic Optical Elements For Complex Beam Transformations, Shaghayegh Yaraghi

Graduate Thesis and Dissertation post-2024

In this thesis, we explore the design, fabrication, and application of volume holographic phase elements in photo-thermo-refractive (PTR) glass for two key purposes: expanding the eye-box in augmented reality (AR) displays and controlling optical angular momentum (OAM) modes in laser cavities.

Encoding complex phase structures in PTR glass enables efficient beam shaping, multiplexing, and wavefront engineering, offering strong potential in AR displays, optical communications, and structured light. Holographic optical elements (HOEs) recorded in PTR glass exhibit high diffraction efficiency (over 99%), thermal stability, and chemical durability. Combined with low absorption and scattering in the visible and near-IR, these features make …

Shock Tube Droplet Breakup Experiments Facilitated By Acoustic Levitation, Anthony J. Aguilera

Graduate Thesis and Dissertation post-2024

Droplet introduction methodology in a shock tube differs based on the experimental conditions. For experiments in which the objective is to image droplet breakup, acoustic levitation allows for a consistent droplet shape and for diagnostic equipment to be aligned to a droplet prior to an experiment. A levitator was designed and used in the University of Central Florida’s shock tube facility. Polystyrene doped droplets were levitated to increase the likelihood of cavitation occurring. Multiple droplets were impacted by a shock wave, and the breakup regime was captured using a high-speed camera.

Examining Information Flows Within Transformer Models Using Transfer Entropy, Clayton Barham

Graduate Thesis and Dissertation post-2024

The rapid growth of artificial intelligence, in terms of both power and prevalence, motivates the need for new ways to study explainability in deep neural networks. This is especially true for transformer architectures and large language models, which are the driving force behind the current surge in artificial intelligence. The complexity of transformer architecture foils many pre-existing methods for studying explainability in deep neural networks. To address this gap in knowledge, this dissertation proposes a new method of studying explainability in transformer architectures that leverages insights from neuroscience, employing transfer entropy to map information flows between components of the transformer …

Skeletal Embodiment Of Structural Violence: Testing Application Of The Weathering Hypothesis In Analyses Of Identified Sex, Jasper K. Shaw

Graduate Thesis and Dissertation post-2024

Structural violence refers to the experiences of inequality faced by marginalized sex, gender, race, and socioeconomic groups. Unequal access to healthcare, housing, and education can cause poor health that may affect how a decedent is analyzed by forensic anthropologists. This research hypothesizes that, due to gender- and sex-based marginalization, females will display greater rates of stress and correlated accelerated aging (i.e., weathering), than males. Computed tomography scans from 100 males and 99 females aged 20-69 years old and white and middle class, were sampled from the New Mexico Decedent Image Database (NMDID). Stress was assessed via cranial porosities, antemortem tooth …

High-Efficiency Dual Active Bridge Converter With Stacked Secondary Phase For Next-Generation Ai Data Center Power Delivery, Anirudh Ashok Pise

Graduate Thesis and Dissertation post-2024

The rapid electrification of hyperscale AI data centers is accelerating a shift from legacy 48 V distribution ladders to ±400 V high-voltage DC backbones, concentrating residual loss and dynamic stress on a single isolated bidirectional interface. This work presents a high-density Dual Active Bridge with Stacked Secondary Phasing (DAB-SSP) architecture as a scalable GaN-based solution for 48 V–800 V rack-level power conversion. By stacking 400 V secondaries, the topology leverages 650 V GaN devices while satisfying 800 V system requirements, reducing clearance and creepage distances, minimizing magnetic path lengths, and embedding leakage inductance necessary for wide-range zero-voltage switching.

A rigorous …