Digital Commons Network^™

Barriers To Hispanic Post-Secondary Education In Science Fields, Luis Slayton

Theses and Dissertations

The study aimed to examine whether external barriers could be identified and are present throughout a Hispanic individual's educational life. The beliefs of the Hispanic community regarding education and the nature of acquiring an education could be relevant to the factors that impede the completion of high school. A survey approach was chosen as the methodology for the study due to the confidential nature of a questionnaire. Human nature tends to be more honest when not asked personal questions face-to-face. Additionally, there is potential to generalize attributes from a small sample to a larger population, allowing inferences about the identified …

Bilateral Leading Edges With Tubercle Modifications: An Experimental Study, Roberto Sanchez

Theses and Dissertations

The increasing demand for better performance and maneuverability from airfoils to sustain superior performance over a wide range of platforms, including vehicles, propellers, and wing designs, continues to grow. Researchers have drawn inspiration from nature, looking at birds of prey, dragonflies, and humpback whales for aerodynamic improvements. Among these, tubercle airfoils, inspired by the humpback whale’s flipper, have gained increasing interest. This experimental study presents the results of bilateral tubercle leading-edge airfoils based on a modified NACA 0018 design with a chord length of 1.82 inches, a span width of 7.5 inches, and an amplitude of 6.3c%. Five configurations were …

A Diminished Alliance: The Effects Of French American Relations On The Leadership Of Washington, Adams, And Jefferson 1789-1809, Eric Christopher Carlson

Theses and Dissertations

This research examines the relationship between the United States and France during the first three presidencies and how it influenced the leadership and decision-making of Washington, Adams, and Jefferson. Throughout the thesis, it is argued that the most critical developments in the United States during these presidencies were connected to diplomatic relations with the French along with each leaders own private, but often public, perceptions of the French. The two decades that these three leaders were in office witnessed significant transformation in U.S.-French relations, especially as the French Revolution spiraled into a full-scale European conflict that threatened American neutrality. In …

The Impact Of Positive Psychology Use Upon Gls Outcomes For People With Chronic Pain Syndromes, Timothy Michael Curtis

Theses and Dissertations

The essence of being human is realized by our discovery of meaningful purpose throughout each important stage of our lives. If we perceive that we lack this meaningful purpose in our lives, it could become a distressful source of suffering to our sense of well-being emotionally, cognitively and perhaps, spiritually. A strong indicator of well-being comes from a good evaluation we ascertain as to how well we believe outcomes in our lives are consistent with our goals and values, which is also known as satisfaction with life. Research findings indicate that the more someone experiences repeated negative life events, the …

Arginine Vasotocin And Corticosterone In Nesting And Non-Nesting Loggerhead Sea Turtles In X’Cacel-X’Cacelito Sanctuary, Krista Blair Reed

Theses and Dissertations

Sea turtles exhibit distinct behaviors before and after egg laying, however, not all individuals successfully oviposit. Some females display disruptions in their typical nesting behavior, returning to the water without laying eggs, which is referred to as a non-nesting emergence (NNE). NNEs can be due to external disturbances on the beach, but why they occur is often unclear. Arginine vasotocin (AVT) is a neuropeptide involved in various physiological processes, including stimulating smooth muscle contraction of the oviduct to facilitate egg deposition in nesting sea turtles. On the other hand, corticosterone is the primary stress hormone in sea turtles and is …

Comparative Analysis Of Sequential And Non-Sequential Modeling Techniques For Ddos Attack Detection With Explainable Ai, Vincent Agbenyeavu

Theses and Dissertations

Cybersecurity is known today as one of the greatest challenges of the modern era. Among the various types of cyber-attacks that threaten our security, the Distributed Denial of Service (DDoS) attack is among some of the most common, effective, and well-recognized attack strategies. Since this form of attack is meant to disrupt the availability factor covertly, it can be detrimental to the targeted machines and difficult to discover. Because of that, there have been several approaches, as well as solutions that have been devised to detect it as accurately and efficiently as possible. In this study, four sequential data modeling …

Exploring Transcriptional Stress Responses In Sorghum And Evolutionary Insights Into Yth Domain Proteins Across Plants, Shikha Bharti

Theses and Dissertations

Understanding how plants respond to abiotic stress is crucial for enhancing crop resilience in the face of climate change. This thesis explores plant stress adaptation mechanisms through two interlinked studies that address different aspects of gene regulation. The first study investigates the transcriptional dynamics of Sorghum bicolor under drought and heat stress at 1-hour and 6-hour time points. By employing 3'-end RNA sequencing, this study provides a comprehensive temporal view of gene expression changes, revealing stress-responsive transcription factors, hormone-associated pathways, and chromatin regulators. The comparative analysis highlights both common and distinct molecular responses between drought and heat stress, providing insights …

Biological, Histological, And Immunohistochemical Responses To Heat Stress In Common Goldfish, Carassius Auratus, Ngozichukwu Francis Ngozichukwu

Theses and Dissertations

Global climate change has led to rising temperatures, posing significant challenges to aquatic ecosystems and the health of ectothermic species such as goldfish (Carassius auratus) This thesis investigated the effects of heat stress on growth performance, histological alterations, and molecular stress responses in the gill and kidney tissues of goldfish Fish were exposed to control (24°C), medium (28°C), and high (32°C) temperatures for two weeks Growth parameters, including instantaneous growth rate (IGR), absolute growth rate (AGR), body value gain (BVG), and condition factor, were evaluated alongside histological and immunohistochemical markers of stress Results revealed that high temperature significantly reduced AGR …

Opa1-Mediated Mitochondrial Dynamics In Myogenic Differentiation Of C2c12 Myoblasts, Daniel Eloy Bazan

Theses and Dissertations

Mitochondria play a pivotal role in metabolic energy production, cellular signaling, and apoptosis. To carry out these key cellular roles, mitochondria dynamically balance their organization through opposing including fusion and fission processes. The balance between mitochondrial fusion and fission is regulated by key proteins such as OPA1 (optic atrophy 1) and OMA1 (overlapping activity with metalloprotease). More recently, mitochondria have been increasingly revealed to play key roles in cellular differentiation, where metabolic demands are reprogrammed. This study aims to elucidate the specific roles of OPA1 and OMA1 in the differentiation of C2C12 myoblast cells into myotubes.

Our data demonstrates that …

Machine Learning Applications For Evaporation Predictions From Small Reservoirs: Potential Water Savings For Lower Rio Grande Valley, Texas, Syed Muhammad Fahad Abdullah

Theses and Dissertations

Local-scale reservoirs are important to regional water balance, but these are often overlooked. This study presents a robust machine learning (ML) approach leveraging reanalysis datasets to estimate daily evaporation for local-scale reservoirs in semi-arid South Texas. Selected models were trained with daily lake evaporation model (DLEM) estimates and used climatic and reservoir-specific properties as feature input variables. The multi-reservoirs training approach ensured applicable model generalization. Results show promising predictive performance with R² values ranging from 0.55–0.67 (testing) and 0.64–0.78 (validation), NSE values ranged from 0.54 0.67 (testing) and 0.64–0.78 (validation), and RMSE values ranged between 1.52–1.80 mm/day (testing) and 1.22–1.58 …

Low-Cost Monitoring And Fingerprinting Of High-Powered Electric Systems, Kwabena Buamono Aboagye-Otchere

Theses and Dissertations

Electric motors are vital to industry, transport, and energy, yet their maintenance challenges persist. While traditional reactive maintenance leads to costly downtime and safety risks, predictive maintenance, especially through IoT and machine learning offers early fault detection and operational efficiency. However, this shift introduces security concerns due to unintended magnetic emissions from motors. These emissions, though useful for non-intrusive monitoring, can be exploited to eavesdrop on sensitive industrial processes. This dissertation explores the dual nature of magnetic emissions: their value in motor diagnostics and their potential as a security vulnerability. It demonstrates how emissions can identify motors, monitor health, and …

Computational Calculations On Zno (0001) And Zno (1010) Surfaces With And Without Pd Adatoms, Amit Aich

Theses and Dissertations

In this research work, first-principles density functional theory (DFT) was used to study O-terminated, Zn-terminated ZnO (0001) surfaces and non-polar ZnO (1010) surfaces. Both clean surfaces and those with Pd or PdO adatoms were examined. Adsorption was considered at O, Zn and hollow sites. After structural relaxation, we analyzed the electronic, optical and adsorption properties. The O-terminated ZnO (0001) surface has a larger band gap of 0.76 eV and p-type conduction. The Zn-terminated surface has a smaller band gap of 0.15 eV and shows n-type behavior. Pd adsorption modifies ZnO’s electronic structure in a site-dependent manner. On O-terminated surfaces, it …

The Effects Of A Tier 2 Intervention On The Behavior Of Elementary School Students Participating In Second Step: Enhancing A Schoolwide Social-Emotional Learning Curriculum, Charlotte Annalee Kennington

Theses and Dissertations

After reviewing the current research literature on the effects of social-emotional learning (SEL) on the behavior of elementary-age children, it was clear that there was limited research data on the effects of Tier 2 interventions designed to augment the effects of schoolwide SEL programs. Specifically, to what extent could a brief, group-delivered intervention improve the academic engagement, problem behavior, and socially appropriate comments of fifth-grade students receiving schoolwide SEL through Second Step in a traditional public school? Three fifth-grade students were recruited to participate in this study who all engaged in frequent problem behavior during Second Step lessons and throughout …

Insights Gained From Applying Molecular Techniques To Gray Triggerfish (Balistes Capriscus Gmelin, 1789) In The Mexican Caribbean, The Southern And Northwestern Gulf Of Mexico, Geaceli G. Orive

Theses and Dissertations

This study focuses on Balistes capriscus (Gray Triggerfish), a reef-associated species dependent on hard-bottom habitats in the Gulf of Mexico (GOM). Using mitochondrial DNA barcoding and phylogenetic analyses, genetic structure across four sites was assessed: Rio Grande Valley (RGV), Veracruz, Chinchorro Bank, and Xahuayxol. Samples from RGV and Veracruz exhibited limited haplotype diversity, minimal nucleotide divergence, and weak genetic differentiation-patterns consistent with recent population expansion and ongoing connectivity within the GOM. While the study centered on B. capriscus, all individuals from Chinchorro and Xahuayxol unexpectedly grouped with Canthidermis maculata (Spotted Oceanic Triggerfish), suggesting misidentification, cryptic diversity, or taxonomic uncertainty in …

Advancing Real-World Implementation Of The Well Optimized Linear Finder (Wolf) High-Speed Atmospheric Turbulence Compensation Method, Timothy Evan Coon

Theses and Dissertations

This dissertation advances the real-world implementation of the Well Optimized Linear Finder (WOLF) method for high-speed Atmospheric Turbulence Compensation (ATC). Atmospheric turbulence introduces phase aberrations into optical wavefronts and degrades image quality in terrestrial imaging systems. Traditional phase diversity methods are computationally intensive and poorly suited to real-time operation. The WOLF method addresses these limitations through a novel, point-wise formulation of the optical transfer function (OTF) as a structured autocorrelation of the generalized pupil function (GPF). This formulation enables the estimation of phase aberrations at individual spatial coordinates with distributed computational complexity.

The research begins by developing a MATLAB-based simulation …

Investigating Global Lightning Observed From Ground And Space, And Its Relationship To Solar Activity, Megan Diane Mark

Theses and Dissertations

The extremes of lightning, specifically lightning with long-lasting continuing currents and lightning with extremely high peak currents, are investigated from both ground- and space-based observations. Additionally, the potential solar influence on lightning is investigated on large spatial scales.

Continuing currents may occur following the impulsive flow of current during a cloud-to-ground (CG) return stroke and are usually low amplitude (from a few amperes to a few kiloamperes) and long duration (several to hundreds of milliseconds). Remotely estimating their duration from the electromagnetic fields measured by existing ground-based lightning locating systems (LLSs) is not possible, but some space-based lightning detection systems …

Designing A User-Centered Bias System To Enhance Media Literacy And Factual Accuracy, Anjali Majan

Theses and Dissertations

In an era of rapid news consumption, readers often struggle to detect bias and misinformation. This study examined whether interface design can support more critical engagement with news. We developed a progressive disclosure interface that encouraged users to reflect as they read by gradually revealing bias and factual cues. Participants were assigned to either Progressive Disclosure or Ground News. The experiment involved two phases. In the intervention phase, participants used an interface with support features. In the assessment phase, they completed tasks without the tool. We evaluated their performance using five measures: bias recognition accuracy, bias shift, factuality judgment, overlap …

Investigation Of Wireless Communication Sub-Optimizing Factors And Ai-Based Optimization For Ber Reduction, Lalan Jee Mishra

Theses and Dissertations

The increasing demand for high-throughput, low-latency, and reliable wireless communication has led to significant advancements of cellular wireless technologies since the early ‘80s. However, in dynamic and interference-prone environments—particularly those involving Unmanned Aerial Vehicles (UAVs)—signal degradation due to pathloss, multipath propagation, co-channel interference, and weather-induced attenuation continues to undermine performance. These factors contribute to elevated bit error rates (BER), inefficient spectrum usage, and unreliable communication links, thereby limiting the practical utility of wireless systems in aerial applications. Traditional mitigation techniques, while effective under certain conditions, often fail to adapt to rapidly changing wireless environments. This shortcoming underscores the need for …

Commitment And Betrayal In Intimate Relationships: A Grounded Theory Analysis, Megan Van Alfen Brown

Theses and Dissertations

Commitment and betrayal are key aspects of a relationship that have impact on the quality or health of the relationship. The purpose of this paper was to use qualitative grounded theory methods to explore how commitment and betrayal are experienced in intimate relationships and to explore the outcomes of both. The data were taken from a larger project on healthy and unhealthy relationships where participants were recruited through convenience and theoretical sampling. Semi-structured interviews were conducted and constructivist grounded theory methods were used to code, generate, and refine prominent categories in the data. Findings revealed that commitment is experienced through …

Modeling Steady-State Navier-Stokes Flow Using Structure-Preserving Truncated Hierarchical B-Splines, Daira Sofia Velasco Vega

Theses and Dissertations

Accurate simulation of incompressible steady-state fluid flow is critical for engineering applications where mass conservation, numerical stability, and geometric fidelity are essential. This thesis develops and analyzes a structure-preserving isogeometric framework for steady-state incompressible Navier"“Stokes simulations using truncated hierarchical B-splines (THB-splines). By leveraging divergence-conforming spline spaces designed to keep the fluid's divergence exactly zero based on the mathematical de Rham complex, this method ensures the fluid remains incompressible everywhere without needing extra stabilization techniques. The use of THB-splines allows the mesh to be refined locally in areas where the flow changes sharply. It still keeps the solution smooth and ensures …

Constructing Sculptural Wearables: Indigenous Steam Education At The Intersection Of Art And Science, Patricia Andersen

Theses and Dissertations

This paper describes an approach to STEAM education in which art is viewed as a unique discipline with distinct ways of thinking. The researchers developed and evaluated a STEAM education program to explore how art and science work together to expand and accelerate inventive thinking among Native American middle school students who participated in American Indian Services (AIS) Pre-Freshman Engineering Program (PREP). An important context of this project was the unique local environment and culture that included Diné (din-eh) culture in Gallup, NM. We hypothesize that integrating culturally responsive transdisciplinary art into an existing STEM summer program will increase students' …

Predicted Inelastic Response Of Conventional And Ductile Steel Concentrically Braced Frame Buildings Under Wind Loads, Conrad Hamblin Belshe

Theses and Dissertations

The inelastic response of three-story steel concentrically braced frame buildings under wind loads was simulated to determine the applicability of ductile braced frame design to wind load applications. This study examined three types of steel concentrically braced frames: a conventional braced frame, a ductile braced frame, and a ductile braced frame with a reduced beam requirement. Braced frames were designed for four design wind speeds (220 mph, 156 mph, 127 mph, and 110 mph), for a total of nine unique braced frame designs. Nonlinear static pushover analysis was used to determine system overstrength and ductility under wind loads. Eigenvalue vibration …

Pre-Service Teachers’ Perceptions Of Creativity In Education, Merve Topak-Jamsran

Theses and Dissertations

This study examined the relationship between pre-service teachers’ self-reported creativity and their appreciation for students’ creative characteristics. The researcher replicated Kettler et al.'s (2018) "Teacher Perceptions of Creativity in the Classroom" study of in-service teachers. Specifically, the relationship among pre-service teachers’ creative self-efficacy, self-reported personal creativity, perceived importance of promoting creativity, and their preference for student characteristics in the classroom was investigated. Data were gathered using a web-based questionnaire e-mailed to pre-service teachers in educational preparation programs in a southern U.S. state. The study sample were 92 pre-service teachers who had completed at least one practicum or who were currently …

Multi-Scale Color Correction And Contrast Enhancement Via Leaf In Wind Optimization For Improved Weld Defect Detection In Non- Destructive Testing, Senthil Anand N Mr

Theses and Dissertations

Image enhancement is an essential process in numerous fields, including industrial inspection, medical imaging, remote sensing, and photography, as it improves image quality for accurate analysis and interpretation. Among the advanced image enhancement techniques, Focused Super Resolution (FSR) with Self-Attention Single Candidate Optimizer-based Generative Adversarial Networks (GANs) is specifically designed for weld defect detection, while Advanced Image Enhancement through Multi-scale Color Correction and Contrast Stretching using Leaf in Wind Optimization focuses on enhancing the overall visual quality of images. Although both approaches aim to improve image quality, they differ significantly in their objectives and application areas. The FSR method concentrates …

Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford

Theses and Dissertations

Math Information Retrieval (MIR) aims to revolutionize the retrieval of math information by addressing the challenges in representing, retrieving, and producing highly specialized math content. In order to develop a robust MIR system, designers must be able to process math equations (MEs) to a format that different systems can use, which is difficult due to various formats math information are stored in, including visual images and document texts. To improve the usage of math information in varied forms for people who are learning and utilizing math, we propose three different methods of handling ME data. The first method is a …

Incorporating Industry-Standard Technical Writing Into A Materials Testing Laboratory, Caleb Levi Head

Theses and Dissertations

The fluid analysis and materials testing laboratories are crucial for engineering students to learn experimental procedures and data interpretation. Engineers spend a significant portion of their workday on report writing, yet many feel their undergraduate education did not adequately prepare them for this task. At the University of Arkansas at Little Rock, students were given an industry-influenced lab report template to expand their knowledge of the necessary information required in technical writing, thereby teaching and improving their technical writing skills actively. These reports were evaluated qualitatively and quantitatively against previous submissions over two semesters in the mechanical engineering fluids and …

Integrated Evaluation Of Airtightness, Acoustics, Thermal Performance, And Life-Cycle Carbon Emissions In Code-Compliant Wood-Framed And Thin-Shell Concrete Dome Residential Structures, Eduardo Ibanez Vasquez

Theses and Dissertations

The residential construction industry faces increasing demands for energy-efficient and sustainable housing solutions. In the U.S., residential buildings significantly contribute to energy consumption and greenhouse gas (GHG) emissions, highlighting the need for enhanced building envelope performance. This study compares four residential structures: a traditional code-compliant wood-framed structure built in 1970, a traditional code-compliant wood-framed structure built in 2016, a modular code-compliant wood framed structure built in 2024, and a thin-shell concrete dome built in 2022. The analysis focuses on airtightness, acoustic insulation, passive thermal performance, and life-cycle carbon emissions, including both embodied (cradle-to-gate) and operational energy use. Field-based methods included …

Source Characterization From Near-Field Acoustic Intensity On Moving Launch Vehicles, Carson F. Cunningham

Theses and Dissertations

Rocket launches generate extremely high acoustic levels, particularly in the low-frequency range, posing risks to both launch vehicle integrity and surrounding infrastructure. This thesis investigates the use of near-field acoustic intensity measurements to localize sound sources on moving launch vehicles, with a focus on characterizing source behavior during the early phases of liftoff. Using data from the Antares 230 NG-19 mission, acoustic pressure was recorded at multiple stations surrounding the pad, and the Phase and Amplitude Gradient Estimator (PAGE) method was employed to compute intensity vectors as a function of frequency and time. Signal processing parameters were systematically evaluated, including …

Personalized Emoji Prediction Framework Using Personality, Emotion, And User Preferences, Mariam Lotfy Gaafar

Theses and Dissertations

Emoji prediction plays a vital role in digital communication by enriching text with personality, individual style, and emotional tone. However, existing frameworks primarily rely on user-generated text combined with statistical or language models, often overlooking the importance of individual user traits and contextual information. Recent research highlights that integrating user-specific features, such as historical usage patterns and emotional context, can significantly improve emoji prediction accuracy. Building on these insights, we propose a comprehensive emoji prediction framework that incorporates user history, personality traits, and real-time emotional context. We leverage the Pan17 corpus, which contains a sufficient number of posts per user, …

A Predictive Framework For Early Detection And Personalised Monitoring Of Parkinson’S Disease Using Artificial Intelligence And Large Language Models, Priyadharshini S

Theses and Dissertations

Parkinson’s Disease (PD) is a multifaceted and progressive neurodegenerative disorder that presents a spectrum of motor and non-motor symptoms. Early and accurate diagnosis is essential for effective disease management and improved patient outcomes, yet remains clinically challenging due to symptom overlap and diagnostic limitations. This thesis proposes a comprehensive and interpretable artificial intelligence (AI)-driven diagnostic framework that aims to transform the early detection, personalised monitoring, and treatment recommendation process for PD. The proposed solution integrates deep learning, radiomics, evolutionary optimisation, and large language models (LLMs), ensuring a highly accurate and clinically adaptable system.

The research begins by analysing T2-weighted 3D …