Digital Commons Network^™

An Experimental Study On Turbine-Based Energy Harvesters For Thermal Underwater Gliders, Stephen Edward Coster

Theses and Dissertations

Buoyancy-driven underwater gliders have been optimized for long-duration missions primarily for continual monitoring of the ocean’s water column. However, longer missions and higher-powered sensors have increased the energy requirements of gliders. While current solutions aim to increase battery capacity, the development of energy-harvesting systems (EHMs) could greatly improve mission capabilities in both ability and duration. This thesis discusses the experimental testing of an underwater glider with an EHM as detailed in the theoretical study, “Development of a Turbine-Based Ocean Thermal Energy Harvesting Mechanism Applied to the Underwater Glider” by Hongbo Hou, PhD. The rear-mounted turbine captures energy using the kinetic …

Employee Perspectives Of Addiction: Effects On Workplace Dynamics, Alex Silverman

Theses and Dissertations

This study examined how employees perceive and respond to coworkers experiencing substance use disorders (SUDs) and behavioral addictions in workplace settings. Integrating attribution theory, stigma frameworks, and Quality of Work Life (QWL) perspectives, a controlled vignette-based design was administered to 130 employed adults who evaluated hypothetical coworkers across addiction conditions. Multilevel modeling revealed that SUDs were perceived as more severe than behavioral addictions, and higher perceived addiction severity was associated with greater stigmatizing attitudes. Stigmatizing attitudes, in turn, were differentially associated with workplace behavioral responses: stigma was strongly associated with increased distancing and reporting behaviors but was not significantly associated …

Manned Exploration Of Satellites Of The Outer Planets: An Analysis Of Current Technologies And A Discussion Of Advancements Required, Joshua Carson Meador

Theses and Dissertations

The Solar System’s outer planets have many satellites, some of which are known to be the most likely places to find extraterrestrial life in our celestial backyard. Multiple scientific missions have been sent to glean information from these satellites, yet the possibility of a manned expedition has long been exclusive to science fiction stories. This paper intends to collect and analyze the current state of space travel technology to explore the feasibility of such a mission with modern technology and to discuss which future advancements should be the focal point for making such missions a reality. To begin, data on …

Hdra-Fusion: Hybrid Detection With Routed Architecture For Manipulation-Aware Ai Face Forgery Detection, Omar Ebeid

Theses and Dissertations

With the rapid advancements in artificial intelligence-based image generation and manipulation tools, it is extremely difficult to detect if an image is genuine or artificially crafted. Despite extensive research in this area, existing image detection systems suffer from three major problems: suboptimal cross-dataset generalization due to shortcut learning of dataset-specific patterns, unreliable probability estimates due to domain shift, particularly in cross-manipulation evaluation settings, and an inability to detect images manipulated by multiple types of manipulations within a single detection framework. To address these limitations, we propose HDRA-Fusion (Hybrid Detection with Routed Architecture), a framework built on the conclusion that different …

Quantifying Noise In Monte Carlo Simulations Of Cosmic Rays In A Shock, Abhro Rahman

Theses and Dissertations

Cosmic rays are a phenomenon known to humankind from the early 1900s, and yet today the details of their physical behavior are not fully settled. While the observed spectral fluxes of cosmic rays follow a power-law trend when plotted against particle energy, the exact mechanisms under which they get to such high energies are still under study. This thesis will undertake a subsection of that task, where the Monte Carlo simulation of particle accelerations is described in Warren (2015), and we aim to identify and quantify the noise inherent in such simulations. This document takes a long path through particle …

Hybrid Machine Learning For Zero-Day Malware Detection: An Adaptive Static-Dynamic Analysis Approach, Garrett Farmer

Theses and Dissertations

In an era of swiftly evolving cyber threats, zero-day malware continues to be one of the most challenging classes of attacks to detect and mitigate. Traditional signature-based methods often fail to detect novel malicious code, leaving institutions vulnerable to unknown exploits. This thesis proposes a machine learning (ML)-based framework that is designed to detect unknown malware variants. By combining both static and dynamic techniques, such as file structure exam ination and sandbox-based runtime analysis, this approach aims to successfully capture malicious characteristics. The proposed custom pipeline addresses the computational overhead that is associ ated with deep inspections, outlining a staged …

Exploring Servingness Through Pedagogy: A Critical Case Study Of An Hispanic Serving Institution, Yemin Sánchez

Theses and Dissertations

This critical ethnographic case study advances current understandings of what it means to teach at an Hispanic Serving Institution (HSI) and how faculty enact servingness within an HSI enrolling high indices of Latin@/Hispanic students. Drawing on decolonial, culturally sustaining and liberatory pedagogical frameworks, this study interrogates how constructs such as Hispanic, Latin@/Latinx, or coloniality shape the pedagogical conditions under which faculty operate. Using pláticas with ten faculty members, this research study demonstrates servingness is not a technique or an institutional designation, instead, it is a fluid and deeply humanizing ecology with five mutually reinforcing dimensions: Servingness as Relational Praxis, Servingness …

Modeling Causal Interactions Across Brain Functional Systems For Population-Specific Disease Analysis, Alissen Moreno

Theses and Dissertations

Functional brain connectivity provides critical insight into neural mechanisms underlying neurodegenerative and affective disorders. Traditional neuroimaging studies rely on undirected or region-specific connectivity measures developed predominantly using racially homogeneous cohorts, limiting fairness and generalizability across diverse populations.

We propose a population-aware framework modeling directed causal interactions across large-scale brain functional subnetworks. Resting-state fMRI data from the HABS-HD cohort were used to construct subject-level causal connectivity matrices via ICA-LiNGAM, aggregated into interpretable system-level hyper-connectomes representing interactions among eleven canonical brain subsystems. These features trained nonlinear models for Alzheimer’s disease stage classification and trait worry prediction.

Results demonstrate that MLP models outperform …

The Effects Of Self-Management On Portion Control Consumption In A Natural Setting, Amber Nicole Lampert

Theses and Dissertations

Obesity is a significant public health concern, with overeating as a primary contributor. Despite national nutrition initiatives, most Americans consume inadequate amounts of fruits and vegetables while exceeding recommended portions of calorie-dense foods. Understanding food groups and recommended portion sizes of each may be a prerequisite skill for a health initiative aimed at weight loss. Given that environmental and behavioral factors influence eating behaviors, Applied Behavior Analysis (ABA) offers an evidence-based framework for improving nutritional habits through self-management interventions. This study examined the effects of self-management components on portion control within a natural eating environment. Four adult participants, one male …

Comparison Of The Effects Of Participation In Early Childhood Education On Readiness Outcomes, Pre- And Post-Covid-19 In A South Texas District, Maria J. Valadez Gonzales

Theses and Dissertations

This study will investigate and gather quantitative data noting if a learning gap exists when evaluating reading data of students participating in a high-quality learning program in 2020 due to the pandemic. RQ1: What gaps are evidenced by progress monitoring TPRI/TJL data from 2019 Beginning of Year (BOY) Kinder pre-pandemic when compared to 2020 post-pandemic BOY data in First grade for educationally disadvantaged students in a South Texas school district? RQ2: Do students who attend these ECE high quality prekinder programs show differing levels of academic achievement utilizing progress monitoring assessments in reading for Kinder – First grades (Wyse et …

Beyond Moving Hands: Narratives Around Deaf Education, Sara Simpson

Theses and Dissertations

This qualitative narrative study explored the experiences and perspectives of deaf educators and educational interpreters working in high school settings. Participants shared narratives about their professional experiences, training, and roles in deaf education. By considering their professional histories, backgrounds, and cultural perspectives, this study examined how these experiences shaped participants’ perceptions of the current state of deaf education.

Using a qualitative narrative research design, three participants with experience working in high school deaf education settings were interviewed individually and later participated in a focus group discussion. The interviews and focus group centered on participants’ perspectives regarding key issues in deaf …

Teacher Narratives Of Curriculum Implementation In Bilingual Education: A Vygotskian Analysis, Jose F. Orozco

Theses and Dissertations

This narrative inquiry explores bilingual educators' experiences implementing the Amplify Reading curriculum in a diverse, Title I-funded urban district. As schools adopt standardized curricula, tensions emerge between monolingual standards and the needs of bilingual students. Using a Vygotskian framework with Cultural-Historical Activity Theory (CHAT) and Knowledge Structures (KS), the study examines how teachers navigate systemic contradictions and how these tensions influence their professional identities.

Using an interpretivist approach, data were collected via semi-structured interviews, a focus group, and a researcher’s journal from six experienced bilingual educators. Thematic analysis reveals profound structural fractures within the activity system: a primary contradiction between …

Voices From The Classroom: Elementary Teachers’ Perspectives On Teaching And Learning During The Covid-19 Pandemic – A Case Study And Autoethnography, Alicia Lopez-Hernandez

Theses and Dissertations

Guided by constructivist learning theory and sociocultural theory, this qualitative case study and autoethnography examines how bilingual educators constructed knowledge, adapted instructional practices, and utilized mediational tools within face-to-face, online and hybrid learning environments. These frameworks informed the study’s design, data analysis, and interpretation of findings related to pedagogy, technology integration, and student engagement. Data was collected through semi-structured interviews, naturalistic observations, and autoethnographic reflective journaling.

Bounding The Average Kissing Number, Including New Bounds For Three-Dimensional Binary Sphere Packings, Mark William Bockhaus

Theses and Dissertations

The average kissing number is defined as the supremum over all sphere packings of the value: two times the number of tangencies divided by the number balls in the packing. In this paper, we present a survey of the literature about bounding the average kissing number, beginning with the first non-trivial results, through the most up-to-date bounds. We then turn our focus to binary sphere packings: those which contain spheres of two different radii. We improve upon known bounds for the average kissing number for binary sphere packings in three-dimensions and find exact bounds for many packings.

Elementary Teachers' Culturally Responsive Strategies For Fostering Critical Thinking In Science Instruction With Emergent Bilinguals, Lydia Stella Ratel

Theses and Dissertations

This phenomenological study explored the lived experiences of bilingual and English as a Second Language (ESOL)-certified elementary teachers as they fostered critical thinking among emergent bilingual (EB) students in grades 3–5 science classrooms. Grounded in culturally responsive pedagogy, translanguaging, funds of knowledge, and critical thinking theory, the study examined how teachers made sense of instructional decision-making and EB students’ scientific reasoning within accountability-driven educational contexts.

Data were collected through in-depth, semi-structured interviews with elementary teachers serving emergent bilingual students in South Texas public schools. Phenomenological analysis was used to identify shared meanings across participants’ descriptions of instructional practices, language use, …

Analyzing Criteria Air Pollutants And Meteorological Parameters In The Rio Grande Valley, Laredo, And Corpus Christi Region Of South Texas, Angela Garcia

Theses and Dissertations

Recently, the Rio Grande Valley has experienced significant population growth due to economic opportunities, cross-border commerce, SpaceX, and the Rio Grande and Texas liquid natural export terminal presence. The Rio Grande Valley has an estimated population of 1,368,723. This region is largely understudied, along with nearby urban centers such as Laredo and Corpus Christi. The Rio Grande Valley and Laredo regions are a concern due to their population growth and heavy cross-border transportation. Data from the Texas Commission of Environmental Quality Continuous Ambient Monitoring Sites was collected from January 1st , 2024, to December 31st, 2024. Statistical analysis, such as …

Academic Anxiety, Anxiety Sensitivity, And General Mental Health In Collegiate Student-Athletes, Finley Gabrielle Elkins Sims

Theses and Dissertations

Collegiate athletes’ mental health is on the decline, and they have unique experiences that can influence the prevalence of mental health struggles. This study examined academic anxiety, comorbid forms of anxiety, and predicting factors in 187 collegiate student-athletes across 29 U.S. colleges. Athletes had significantly higher levels of academic anxiety and general anxiety compared to a college nonathlete population. There were significant gender differences in athletes, with females having greater levels of anxiety sensitivity, academic anxiety, sport anxiety, general anxiety, depression, and a history of depression than male athletes. Gender, history of depression, anxiety sensitivity, and depression were significant predictors …

Intersecting Identities, Social Support, Multiple-Minority Stress, And Health Outcomes Among Latinx Lgbtq+ Adults, Amanda Lamas

Theses and Dissertations

Latinx LGBTQ+ adults experience poor health due to exposure to intersectional discrimination; however, they also possess protective factors to cope with these stressors. This study explored the associations and interactions of identity affirmation (ethnic, American, LGBTQ+), identity outness, perceived social support, LGBT-POC microaggressions, and health among LGBTQ+ Latinx adults. Correlational analyses and regression models controlling for covariates showed that American and ethnic identity affirmation, perceived social support, and identity outness were positively associated with health, and LGBT-POC microaggressions were negatively associated with health. LGBTQ+ identity affirmation was directly correlated with mental health, but not in the regression model. Identity affirmation …

Vision-Language Guided Quadruped Navigation With Reinforcement Learning Control, Chen Yuan Wang

Theses and Dissertations

Large Language Models and their multimodal variants, Vision-Language Models (VLMs), can interpret natural language instructions and visual context. Reinforcement Learning (RL) methods such as Proximal Policy Optimization (PPO) have been shown to successfully learn stable quadruped locomotion. This work investigates whether a VLM integrated with an RL controller can control a quadruped robot to perform instruction-following navigation to a predefined target using text instructions, egocentric vision, and proprioceptive state.

Most VLM-based robotics work directly target prediction of robot actions from multimodal inputs. This approach often depends on large amounts of expert demonstration data, generated by controllers such as trained RL …

Teacher Stories In A Place-Based Science Education Program In The Trans-Nueces Region, Brian Craig Gabrysch

Theses and Dissertations

This qualitative study examines the emerging professional narratives of five educators involved in the Integrated Oceans Program at a coastal South Texas school district situated within the Trans-Nueces region. Guided by the central research question—What are the emerging teacher stories from a place-based science program in the Trans-Nueces region, and what do we learn about place-based science education from the narratives?—the study employs narrative inquiry methodology following Riessman (2008) and Bruner (1985) to investigate how educators construct meaning from their practice within a program anchored to the Laguna Madre wetlands ecosystem.

The theoretical framework integrates interpretivism (Benton & Craib, 2010), …

On The Structure Of The Homotopy Lie Algebra Of Local Rings, Dawson M. Strong

Theses and Dissertations

This thesis investigates the construction and homological properties of the homotopy Lie algebra π(R) of a commutative local ring (R,m,k). Drawing upon the theoretical framework of differential graded (DG) algebras, we first establish the theory of minimal free resolutions and other standard topics in homological algebra. The core of this work details the iterative construction of the acyclic closure R⟨Y⟩ of k over R, which is achieved by the systematic adjunction of exterior and divided power variables to eliminate cycles in homology. We demonstrate that this acyclic closure serves as a minimal free resolution and provides the means to define …

La Panza: Un Acto De Rebeldia Para Los Atravesados Y Los Que Siguen Despues / The Panza: An Act Of Rebellion For The Inbetweeners And Those Who Follow After, Abigail Guadalupe Cantu

Theses and Dissertations

Our ancestors, family members, and ourselves that live in the borderlands have embodied knowledge, and/or an innate intuition that comes from the pit of our soul, particularly from our “panza”; hence, the creation of a panza consciousness as the focus for my thesis. I’m trying to “rediscover” the embodied knowledge that has been taken from us and how we can learn to harness these forms of knowledge into a societal shift ( i.e. how we interact with others, how we see our bodies, how see the creation of knowledge, and how we see the world). Although, Eurocentric ideals sought to …

A Case Study Of One-To-One Mobile Teaching And Learning Environments Measuring Creativity In A Rural Elementary School In Deep South Texas, David Warren Hernandez

Theses and Dissertations

This qualitative case study examined how creativity is enacted within rural one-to-one mobile teaching and learning environments in Deep South Texas. Grounded in the frameworks of mobile learning affordances (Klopfer et al., 2002), the Technological, Pedagogical, and Content Knowledge (TPACK) framework, and the SAMR model, the study explored how instructional practices, student agency, and contextual conditions influenced creative learning experiences in an elementary school setting. Data were collected from five elementary teachers at a rural South Texas district and included semi-structured interviews, classroom observations, and samples of student-created artifacts. Data analysis followed a systematic process of first-cycle coding, second-cycle axial …

Accurate Polyp Segmentation With Visual Mamba, Diego Adame

Theses and Dissertations

Medical image segmentation is a fundamental task in computer-aided diagnosis because it enables precise delineation of anatomical structures and pathological regions from clinical images. While convolutional neural networks and Transformer-based models have achieved strong performance on many medical segmentation benchmarks, CNNs struggle to model long-range dependencies and Transformers often incur high computational complexity for high-resolution medical images. Recently, state space models have emerged as an efficient alternative for dense prediction tasks due to their ability to capture long-range dependencies with linear complexity. However, existing Mamba-based segmentation models still rely on pixel-wise raster scanning that disrupts spatial locality and use simple …

Student Engagement As A Predictor Of Stem Student Success, Mosab Shaher Abu Al Foul

Theses and Dissertations

This quantitative study investigates factors influencing engagement, persistence, and degree completion among underrepresented minority (URM) students in science, technology, engineering and math (STEM). Guided by Tinto’s Interactionist Model (1975) and Bandura’s Self-Efficacy Theory(1977), it examines how institutional practices and socioeconomic conditions contribute to inequities in student outcomes. Using a non-experimental, correlational design, the study analyzes National Survey of Student Engagement (NSSE) data and institutional records from a Midwestern Research 2 university (N = 620; URM subsample n = 52). Binary logistic regression, MANOVA, and t-tests were used to assess relationships among High-Impact Educational Practices (HIEPs), engagement indicators, faculty interaction, pre-college …

Towards Continuous Carbon Fibers From Corn Oil, Ismail Akanmu Adebayo

Theses and Dissertations

The global demand for carbon fibers has experienced exponential growth over the last decade, driven by the desire for materials with high strength and low density for applications in aerospace, automotive, wind energy, and specialty industrial markets. Currently, carbon fibers are almost exclusively produced from petroleum-based precursors, most commonly polyacrylonitrile (PAN) and petroleum-derived pitch. The high production costs associated with these fossil-based precursors limit the broader adoption of carbon fibers and represent a significant barrier to market expansion. The development of a bio-based carbon fiber precursor derived from renewable feedstocks would help transition this market away from fossil carbon sources …

Machine Learning Applications For Numerical Simulation Of Co2 Sequestration, Adeboye Kayode Adeyinka

Theses and Dissertations

Global CO2 emissions significantly exceed the capacity of planned sequestration projects. Among subsurface storage sites, deep saline aquifers offer the largest theoretical capacity because they occur naturally across most sedimentary basins. However, major geological uncertainties, such as permeability variations and sand continuity, complicate these projects due to sparse well data. Consequently, analyzing CO2 sequestration projects in saline aquifers require robust reservoir simulation which are unfortunately, computationally complex with long runtimes, presenting severe bottlenecks for extensive risk assessment.

Machine learning algorithms can overcome these limitations by drastically reducing computational runtimes, enabling rapid scenario testing and optimization. Despite this potential, existing literature …

Mechanistic Investigation Of Arsenic Removal From Drinking Water Using Metal–Organic Frameworks And Granular Activated Carbon, Mousa Almousa

Theses and Dissertations

Arsenic contamination in groundwater represents a critical environmental and public health challenge due to its high toxicity and widespread occurrence in natural aquifers. Chronic exposure to arsenic, even at trace levels, is associated with severe health effects, including skin lesions and increased cancer risk. Conventional treatment technologies, such as adsorption using activated carbon or metal oxides, often suffer from limited selectivity, regeneration difficulty, and reduced efficiency under varying pH conditions. Therefore, developing advanced sorbent materials with high capacity, selectivity, and structural stability is essential for addressing arsenic pollution in decentralized water systems.Metal–organic frameworks (MOFs) have recently emerged as promising materials …

Stigma Is Committing: Public Perceptions Of Race, Substance Use, And Civil Commitment, Meliyah Anderson-Tryon

Theses and Dissertations

Civil commitment in the United States is a legal process through which individuals experiencing severe mental illness may be involuntarily admitted for psychological treatment. Despite its far-reaching consequences, public knowledge and perceptions of civil commitment remain largely underexamined. These gaps may contribute to increased stigma toward individuals with severe mental illness or those who engage in substance use. This study used a vignette-based experimental design manipulating a hypothetical individual’s race and presence or absence of past substance use. The hypothetical individual was portraying symptoms related to schizophrenia, subsequently leading to being civilly committed. Participants (N = 208) evaluated perceived dangerousness …

Non-Terrestrial Colonial Security And Critical Contingency Operations, Augustine Gabriel Wesley Batten

Theses and Dissertations

Since the turn of the century, the dependence of state functionality and capability on cyber infrastructure has grown exponentially, resulting in an equally expanding list of means to exploit this dependency. Cyberattacks have demonstrated the ability to target the space industry and critical infrastructure beyond our atmosphere. The potential damage this growing threat can bring is what this research aims to prepare for and mitigate. The purpose of this research is to determine cyber-attack indicators and develop responses designed to mitigate the effects of worst-case scenarios. It is important to understand that this study included a theoretical scenario to address …