Digital Commons Network^™

From Mechanisms To Management: Implications Of Biogeochemical Controllers And Land Management For Soil Carbon Cycling And Storage, Savannah R. Adkins

All Graduate Theses and Dissertations, Fall 2023 to Present

Climate change and its cascading effects are driven by increases in atmospheric carbon dioxide (CO₂). Many climate solutions exists to remove this excess carbon (C) from the atmosphere, and soils, in particular, represent one of the few win-win solutions. Soils play a vital role in the global C cycle because they store more C than plants and the atmosphere combined, however, they also release more CO₂ annually than fossil fuel combustion (a major contributor to accelerating climate change). Therefore, preventing CO₂ loss from soil could help slow the progression of climate change, and increasing overall soil …

A Critical Policy Analysis Of Dual Language Education Policies On The Equity And Opportunity Of Participation And Access For Multilingual Learners, Justin A. Andersen

All Graduate Theses and Dissertations, Fall 2023 to Present

Dual Language Immersion programs help students become fluent in two languages while achieving academic success. Originally designed to support students who speak languages other than English at home, these programs have grown rapidly across Utah and the U.S. However, they increasingly serve white, English-speaking families seeking enrichment opportunities, while multilingual students who could benefit most remain underrepresented.

This study examined recruitment and admissions policies in two Utah school districts’ dual language programs. By comparing policy documents, analyzing enrollment data, and interviewing district staff, school leaders, and parents, the research revealed significant implementation differences despite identical statewide program requirements.

One district …

Using Behavioral Skills Training To Teach School Staff To Implement Functional Communication Training, Megan Johnston

All Graduate Theses and Dissertations, Fall 2023 to Present

This project looked at how to train school staff in effective strategies for supporting students with disabilities who engage in challenging behaviors like hitting, self-injury, or crying. We taught three school staff members to use a behavioral intervention called Functional Communication Training (FCT), which helps students learn more appropriate ways to communicate their needs, while also ensuring they do not gain access to reinforcement for challenging behaviors. Staff were trained using Behavioral Skills Training (BST), a step-by-step approach that includes instructions, modeling, practice, and feedback. After the training, the school staff were able to use these strategies correctly, and the …

Enhancing Grid Integration Of High-Power Loads Through Modular Unfolding-Based Power Conversion With Decentralized Control, Sanat R. Poddar

All Graduate Theses and Dissertations, Fall 2023 to Present

The transition to electric vehicles (EVs) is a critical step toward reducing greenhouse gas emissions and creating a cleaner, more sustainable transportation sector. However, many drivers — particularly those operating larger vehicles such as trucks and buses — face significant challenges, including limited driving range and lengthy charging times. High-power, fast-charging stations, which can rapidly replenish EV batteries, are therefore essential for mitigating these barriers and making electric transportation practical across all vehicle classes.

Despite the promise of electric vehicles, deploying high-power fast-charging stations presents significant challenges. They require large amounts of electricity, making them expensive to install, operate, and …

Using Luminescence Of Quartz Temper From Archaeological Pottery To Infer Wildfire Intensity In The Southwestern Us, Brooklyn D. Dib

All Graduate Theses and Dissertations, Fall 2023 to Present

The size and frequency of wildfires have increased recently, impacting ecosystems, communities, and human health. This research uses the heat-sensitive luminescence signals of quartz sand temper within archaeological pottery to record past wildfire conditions. Pottery sherds, which are fragments of archaeological pottery, from the forest floor in sites in New Mexico and Arizona were collected from different fire contexts (no fire exposure, historical fires, prescribed burns, and modern wildfires). These forests are primarily Ponderosa Pine with a grassy understory. The interior sand grains of each sherd sample were analyzed using optically stimulated luminescence, which dates when the mineral grains were …

Evaluating Energy Transition Winners And Losers: Are Algae Biofuels Desirable, Feasible, And Viable?, Michelle M. Arnold

All Graduate Theses and Dissertations, Fall 2023 to Present

Climate change, environmental degradation, finite resources, and the uneven distribution of energy access all points to an urgent need for a global energy transition. But making that transition responsibly requires more than enthusiasm for “green” solutions—it demands careful evaluation of which energy sources are truly worth investing in. This dissertation develops a practical decision-making framework to help policymakers, scientists, and the public answer three foundational questions about any new energy technology: Is it desirable? Is it feasible? Is it viable? By systematically weighing public narratives, biophysical constraints, and patterns of innovation, the framework aims to prevent wasted time, funding, and …

Improvisation Of Mands Using Augmentative And Alternative Communication, Lauren Decker

All Graduate Theses and Dissertations, Fall 2023 to Present

Research shows that young children who use pictures to communicate can use colors, shapes, and functions of items to request when the specific picture of the item is not available. This problem-solving skill is called improvisation, which this study taught to a preschool aged participant with communication delays. A four-year-old preschool student was able to make these requests with basic colors, shapes, and three function pictures. They also were able to make these requests for items not taught to them in different settings. This suggests that improvisation training can be successfully implemented with preschool aged children with communication delays and …

Practical Effectiveness Of Large Language Models In Assisting Landscape Architects In Plant Selection, Paul Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is rapidly transforming many industries, but its role in landscape architecture remains relatively unexplored. This study examines how AI, specifically GPT-4, can assist landscape architects in selecting plants for projects. By comparing AI-generated plant lists to those that human experts created, the research evaluates Accuracy, Suitability, Availability, Aesthetics, and Professional Usability.

The results show that AI-generated plant lists were highly efficient, accurately matching site conditions and improving plant availability while significantly reducing selection time. However, human expertise was essential for ensuring aesthetic quality and design intent. While AI can serve as a powerful tool for streamlining plant …

A Software Framework For Translating Onnx Models Onto The Lace-C3a Hardware, Shawn Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern computers are powerful, but they are not always efficient enough for small, low power systems like those used on satellites and scientific instruments. To solve this problem, engineers often turn to FPGAs—reconfigurable computer chips that can be customized to run specific tasks much faster and with far less energy than ordinary processors. However, finding the best possible design for an FPGA program is extremely difficult because there are millions of ways a design could be built, and only a small fraction of them actually perform well.

This thesis presents SNOW, a new framework that helps automate the search for …

Lace Network Firmware: A Polarfire Fpga Network For Data Routing And Command Interfacing In Space Applications, Kade C. Howes

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern small spacecraft rely on powerful yet efficient onboard compute devices to process data from sensors in real-time due to tight power and volume constraints. This work explores a new compute device system built from PolarFire Field-Programmable Gate Arrays (FPGAs), which are power-efficient, reprogrammable chips well-suited for space applications. The system connects via a central controller FPGA with one or multiple companion processing FPGAs, allowing sensor data to be quickly received and shared across the network. Standardized data formats and interfaces increase compatibility with spacecraft computers. By simplifying data handling and using high-speed communication links, this architecture makes it easier …

Supporting At-Risk Students Through Alternative Education: A Case Study On Reintegration, Behavior, And Stakeholder Perceptions At Sharpie Academy, Bryan O'Neal

Graduate Theses and Dissertations

This dissertation presents a mixed-methods case study examining the effectiveness of Sharpie Academy, an alternative education program within the Chalkboard Champions School District. The study investigated three central research questions: (1) How does participation in the alternative learning environment at Sharpie Academy influence students' behavior upon reintegration into the traditional education setting? (2) What are the perceptions of parents, teachers, and community members regarding the program's outcomes? (3) How do these perceptions influence stakeholder support for the academy? Data was collected from 121 participants, including 43 students and 78 adult stakeholders, using participant observation, semi-structured interviews, surveys, and document analysis. …

Just Because They Can, Doesn’T Mean They Will: College Students’ Use And Non-Use Of Alcohol Protective Behavioral Strategies, Patrick Walter Mcclain

Graduate Theses and Dissertations

College students engage in high levels of alcohol consumption, which can increase their risk of alcohol-related negative consequences. To address this, researchers developed Alcohol Protective Behavioral Strategies (APBS), which are actions that students can take before or while drinking to limit their alcohol use and/or reduce their likelihood of experiencing drinking harms. However, students’ APBS use could depend on their perceived usefulness of these strategies, whether they engage in high-risk drinking, or both. Therefore, the present study aims to investigate: (1) what percentage of students (a) perceive each APBS as useful and (b) implement the APBS they find useful, (2) …

Beam Steering Control For A Small-Scale 5g Antenna Array, Omar Wagih Elkalesh

Graduate Theses and Dissertations

This thesis demonstrates the design, development, and validation of a full-scale adaptive beam steering control system of a small-scale 5G antenna array, designed and thoroughly evaluated with MATLAB Simulink. Overcoming the significant challenge of establishing strong wireless links in dynamic environments, the new system uses a new closed-loop control framework that can automatically detect the signal sources and automatically change the beam direction in real-time. The use of the adaptation is necessary to combat tracking errors that are caused by the mobility of the mobile users, environmental variations, as well as channel estimation errors, widespread in future wireless communication systems. …

Predicting Stock Price Movement With Llm-Enhanced Tweet Emotion Analysis, An Vuong

Graduate Theses and Dissertations

Accurately predicting short-term stock price movement remains a challenging task due to the market’s inherent volatility and sensitivity to investor sentiment. In this thesis, we present a published paper that discusses a deep learning framework integrating emo- tion features extracted from tweet data with historical stock price information to forecast significant price changes on the following day. We utilize Meta’s LLaMA 3.1-8B-Instruct model to preprocess tweet data, thereby enhancing the quality of emotion features derived from three emotion analysis approaches: a transformer-based DistilRoBERTa classifier from the Hugging Face library and two lexicon-based methods using National Research Council Canada (NRC) resources. …

Transcriptomic And Contractile Adaptations In Skeletal Muscle In A Rodent Model Of Anorexia Nervosa, Oscar Armando Vicen

Graduate Theses and Dissertations

BACKGROUND: Anorexia Nervosa (AN) is a psychiatric disorder marked by severe chronic caloric restriction and is primarily diagnosed through psychological and behavioral symptoms. AN has the highest mortality of any psychiatric disorder with an increased risk of all-cause mortality. Many individuals with a history of AN experience incomplete recovery despite intervention treatment. Skeletal muscle molecular mechanisms under chronic energy deprivation remain poorly understood. PURPOSE: To investigate transcriptomic profiles of the gastrocnemius muscle following one month of a rodent model of AN. This study analyzed whether the molecular changes correlate with collected muscular force data to provide a comprehensive understanding of …

Privacy Protection In Cloud-Based Biometric Systems, Yatish Reddy Dubasi

Graduate Theses and Dissertations

The widespread adoption of server-based biometric authentication systems, often hosted in the cloud, has introduced significant privacy risks. While these systems offer convenience, they require storing sensitive biometric templates on remote servers, creating a high-value target for adversaries. Unlike passwords, compromised biometric data is immutable and cannot be reissued, leading to an irreversible loss of privacy. This threat is exacerbated by template inversion attacks, which can reconstruct a user's original biometric trait (e.g., a face image) from its stored feature vector. This dissertation addresses these critical privacy challenges by designing, implementing, and evaluating a suite of novel frameworks for privacy-preserving …

When The Grid Goes Dark: A Digital Forensics Study Of Industrial Control System Cyberattacks, Katie Kettler

Graduate Theses and Dissertations

Industrial Control Systems (ICS) and Operational Technology (OT) maintain the grid, ensure water safety, and keep transportation running. Because they influence nearly every aspect of daily life, these systems have become prime targets for cyberattacks. The need for this research arises from the fact that when ICS and OT systems are compromised, the consequences go beyond data loss, and they can directly disrupt communities and endanger public safety. This thesis introduces digital forensics fundamentals and explains how investigations in ICS environments differ from those in traditional IT environments. This work then examines major attacks, including Stuxnet, the Ukrainian Grid Attacks …

Design Of Phase Shifter And True Time Delay Gan Mmics For High-Temperature Ku-Band Applications, Michael Lee Thompson

Graduate Theses and Dissertations

This thesis presents the design, implementation, and high-temperature characterization of Gallium Nitride (GaN) monolithic microwave integrated circuits (MMICs) developed for beamforming and phased-array systems operating in the Ku-band (12-14 GHz). Two integrated circuits were designed: a 3-bit digital phase shifter and a 3-bit true time delay (TTD), both optimized for high linearity, low insertion loss, low phase error, and stable operation at elevated temperatures up to 300°C. Developing both a phase shifter and a TTD enabled a direct comparison of their beamforming performance and the evaluation of beam squint effects over frequency, a critical factor in wideband array design. The …

Physics-Guided Strategies For Enhancing Neural Networks Trained With Limited Data, Jose Guadalupe Perez Zamora

Open Access Theses & Dissertations

Deep neural networks excel at a wide range of processing tasks across various disciplines. However, the quantity and quality of data significantly impact network performance. In specialized domains, high-quality datasets are often difficult to gather, interpret, and curate for effective learning. Few-shot learning techniques, including transfer learning, data augmentation, and meta-learning, have emerged to address these constraints.

We propose three physics-guided strategies for enhancing neural networks trained with limited data: (1) combining existing models like LSTMs with Physics-Informed Neural Networks through two-branch architectures that merge their outputs, (2) deriving custom physics-informed data augmentation algorithms to expand limited datasets, and (3) …

Impact Of Polystyrene Nanoplastics On Oncogenic Signaling Pathways In Prostate Cells, Luis Alfonso Adel-Alvarez

Open Access Theses & Dissertations

Prostate cancer (PC) remains the most prevalent malignant disease among the male population worldwide, with a dramatic increase observed in the European Union from the 1980s to the 2000s. The etiology of PC is attributed to both hereditary factors and environmental pollutants. Among these, endocrine disruptors and polystyrene nanoparticles (PSNPs) interact with the prostate gland via the circulatory system, inducing intense oxidative stress. This study aims to characterize, for the first time, the pathobiological effects of PSNPs in both non-malignant (RWPE1) and malignant (22RV1) prostate cell lines. The objective was to elucidate the mechanisms by which environmental pollutants, such as …

Instance-Adaptive Gated Fusion Of Multi-Transform Image Representations, Prince Appiah

Open Access Theses & Dissertations

This dissertation proposes the Instance-Adaptive Gated Fusion (IAGF) framework, a novel deep learning architecture for adaptive and interpretable fusion of multiple time–series image transformations. While existing methods rely on static concatenation or dataset-level optimization, IAGF introduces a learnable gating mechanism that dynamically assigns per-instance weights to Recurrence Plots (RP), Gramian Angular Summation Fields (GASF), and Gramian Angular Difference Fields (GADF). The gating layer performs a convex fusion of transformation-specific embeddings under a softmax constraint, ensuring mathematical stability and interpretability. An entropy-regularized objective prevents dominance collapse and promotes balanced exploration of transformations during training. Comprehensive experiments across eighteen benchmark datasets, spanning …

Multi-Hop Hybrid Graph Neural Network, James Arthur

Open Access Theses & Dissertations

Graph-structured data appear across diverse domains, such as social networks, citation graphs, biological systems, and knowledge bases. Graph Neural Networks (GNNs) have emerged as a powerful framework for learning on such data, yet existing architectures face significant challenges. Graph Convolutional Networks (GCNs) suffer from over-smoothing as depth increases, Graph Attention Networks (GATs) introduce computational and statistical instabilities, and naïve multi-hop propagation inflates memory and computation while failing to adapt to topology. These limitations motivate the development of a new framework that is both expressive and scalable. This dissertation proposes the Multi-Hop Hybrid Graph Neural Network (MHHGNN), a novel architecture that …

Advancing Effective Connectivity Analysis: Robust And Sparse Group Dynamic Causal Modeling Via Extended Parametric Empirical Bayes, Godfred Arhin

Open Access Theses & Dissertations

Dynamic Causal Modeling (DCM) provides a principled framework for estimating effective connectivity in neuroimaging data, with Parametric Empirical Bayes (PEB) enabling hierarchical inference across sessions and subjects. However, standard PEB assumes Gaussian distributions at all hierarchical levels and employs conventional shrinkage priors that do not enforce true sparsity, limiting robustness to outlying subjects and reducing sensitivity to parsimonious connectivity structures. This thesis introduces a robust, sparsity-inducing hierarchical extension to DCM-PEB that addresses these limitations through two key innovations. First, a Student-t group-level likelihood replaces the conventional Gaussian likelihood, automatically downweighting outlying subject-level parameters using adaptive precision weights while retaining computational …

Under Pressure: The Effects Of Stress And Cognitive Load On Interrogative Suggestibility, Claudia Cota

Open Access Theses & Dissertations

High-stakes situations, like police interrogations, can impair critical thinking due to stress and cognitive demands, making individuals more susceptible to suggestion. While much research focuses on children, young adults are also at risk for interrogative suggestibility, which can have serious legal consequences. This study experimentally manipulated stress and cognitive load to test whether both factors increase suggestibility in young adults, both independently and interactively, with the highest suggestibility among those experiencing both greater stress and cognitive demands. This was evaluated by examining both condition effects and self-reports of stress and cognitive load. College students (N = 230), aged 18 to …

¡Más Fuertes Y Resilientes! Strengthening Latino Occupational Resilience Through Career-Focused Support Services At Texas Hispanic Serving Institutions, Claudia Cochran-Miller

Open Access Theses & Dissertations

Latinos face many threats to their occupational resilience. Occupational displacement is looming due to technological advances that threaten jobs where Latinos are overrepresented such as in manufacturing, retail, construction, agriculture, and food services. As technological advances, labor practices, and other factors disproportionately affect the Latino population, more will be seeking better employment opportunities and will turn to higher education. Hispanic Serving Institutions (HSIs) are in position to significantly impact Latino occupational resilience. This correlational study examines the various career-focused support services offered by HSIs and how they relate to post-graduation outcomes for Latino graduates. Career-focused support services include alignment-driven career …

Microgrid Assessment And Ml-Based Power System Faults Detection Leveraging Real-Time Co-Simulation, Diego Normando Gandara Mendez

Open Access Theses & Dissertations

The rapid growth of distributed energy resources (DERs) and the increasing reliance on data-driven decision making have reshaped the operational challenges of modern electric power systems. As microgrids become more prominent in distribution networks, utilities require methods that unify planning, control, and real-time situational awareness to ensure resilient operation under faulted or uncertain conditions. The goal of this MSEE thesis is to design and validate a latency-aware ML framework for rapid, reliable fault detection in distribution grids. To achieve the goal of the thesis, there are three specific objectives. Objective 1 evaluates optimized microgrid configurations under varying DER levels and …

Borderlines Of Becoming: Transfronterizx College Students Navigating Surveillance, Hybridity And Belonging Along The Us-México Border, Aylin Garcia

Open Access Theses & Dissertations

This narrative literature review examines the educational experiences of transfronterizx college students along the U.S.– México border, a population largely absent from higher education scholarship. Drawing on Borderlands Theory, Anzaldúa’s frameworks, and critical perspectives on neoliberalism and militarization, this thesis highlights the border as a site of both constraint and possibility. Structural violence, surveillance, and militarization intersect with linguistic, racial, and class hierarchies to shape students’ mobility, identities, and sense of belonging. At the same time, students mobilize hybrid identities, cultural wealth, and transborder networks to assert agency, cultivate belonging, and resist deficit narratives. It also identifies persistent gaps, particularly …

Exploring The Impact Of Stem Degree Attainment On Intragenerational Social Mobility Among Hispanic Students And Graduates In Two Texas-Mexico Border Universities, Pilar Gonzalez

Open Access Theses & Dissertations

This research employed a two-phase, sequential, explanatory, mixed-methods design to answer the research questions. The first research question examined how obtaining a Science, Technology, Engineering, and Mathematics (STEM) higher education degree affects the socioeconomic advancement of current Hispanic students and alumni of the Louise Stokes Alliance for Minorities in Participation (LSAMP) within the context of two higher education institutions located along the Texas-Mexico border. The second research question explored the determinants shaping the professional pathways of Hispanic STEM students and graduates in the geographic vicinity of the Texas-Mexico border. For this study, STEM degrees refer to those recognized by the …

Advancing Trypanosoma Cruzi N-Myristoyltransferase As A Drug Target For Chagas Disease Through In Silico Discovery And Biochemical Evaluation, Diana Citlali González García

Open Access Theses & Dissertations

Chagas disease remains one of the most persistent and neglected parasitic infections in the Americas, advancing silently through the intracellular replication of Trypanosoma cruzi amastigotes and the invasive spread of trypomastigotes. The survival of the parasite is critically reliant on protein N-myristoylation, a lipid modification catalyzed by N-myristoyltransferase (NMT). This dissertation aims to advance beyond prior studies by systematically investigating NMT inhibition across multiple biological levels, spanning from the characterization of the purified enzyme, through cellular infection models, to the global proteomic remodeling induced within the parasite, thereby evaluating TcNMT as a potential therapeutic vulnerability in T.cruzi.Recombinant TcNMT was expressed, …

Boxing The Shadow, Based On Some True Stories By Madskater Bohannon, Brad Haines

Open Access Theses & Dissertations

Creative writing, as a therapeutic modality, delves into memory and confronts fragmented emotional and cognitive processes through the medium of written language. For me, this involves language exerting resistance against memory, physical form, and silence. Boxing the Shadow, a hybrid of memoir, flash nonfiction, poetry, graphic novel scripting, and playwriting, emerges from my experiences with moral injury, and the ongoing process of self-expression that challenges institutional structures. At its essence, writing is an act of survival: it renders visible the inarticulable, identifies the phantoms and specters that haunt, and finds a suitable form to accommodate memory's unreliability and the jaggedness …