Digital Commons Network^™

Facilitating Deep Learning Performance Analysis Through Automated Roofline Model Generation, Irvin Lopez-Audetat

Open Access Theses & Dissertations

This thesis presents a tool to profile deep learning (DL) and machine learning (ML) models by collecting FLOPs, memory movement, and timing data through cyPAPI to generate roofline performance models. The tool is containerized for portability and reproducibility, integrates directly with PyTorch workflows, and provides fine grained insights into computational bottlenecks across model components. Unlike prior system-level or benchmarking-centric tools, this project empowers developers and researchers with an accessible, modular framework for performance analysis and optimization.

Exploring Intersectional Risks Of Substance Use Disorder, Mental Health, Hiv/Aids, And Hepatitis C Among Hispanic Adults On The Tx-Mx Border: A Mixed-Methods Study, Md Mohsin

Open Access Theses & Dissertations

Purpose: The purpose of this study was to explore intersectional risks of substance use disorders, mental health, HIV/AIDS, and HCV among Mexican-origin Hispanic adults on the Texas-Mexico border. Methods: The study employed an exploratory sequential mixed-methods approach, which involved collecting and analyzing qualitative data first, followed by quantitative data collection. Selected purposively, 15 in-depth interviews were conducted among the target population. Using convenient sampling, 106 cross-sectional surveys were conducted. Qualitative interview data were analyzed manually using thematic analysis. Quantitative data analyses included univariate descriptive analysis, bivariate, and multivariable penalized logistic regression, negative binomial, and zero-inflated negative binomial regression. Results: The …

A Half Century Of Biophysical Change In Polygonized Tundra On The Coastal Plain Of Northern Alaska, Mariana Mora

Open Access Theses & Dissertations

Climate change is amplified in the Arctic. As a result, Arctic tundra landscapes are undergoing physical changes through accelerated thaw and ice-wedge degradation. Understanding the magnitude and direction of these changes in the Arctic is a necessary step toward understanding the response of the Arctic to climate change and feedbacks to the Climate System. Through repeat measurements collected from 1973 through 2018, we were able to assess decadal time scale changes in polygon geomorphology, thaw depth, land surface compression and expansion, and vertical elevation within a highly polygonized tundra system, and their implications when scaled to a regional level. This …

Evaluating Large Language Models For Requirements Engineering And Verification: A Comparative Analysis Of Gpt-5 And Gemini 3 Pro, Guadalupe Nevarez

Open Access Theses & Dissertations

Large Language Models (LLMs) are increasingly viewed as viable tools for Systems Engineering, yet empirical data regarding their effectiveness in generating engineering-quality requirements remains limited. This thesis compares the performance of GPT-5 and Gemini 3 Pro in generating system functional requirements for the Miner Guardian Drone, a prototype UAV designed for minefield remediation. Both models were provided with identical prompts and tasked with producing 15 functional requirements. Two independent raters evaluated the outputs using a nine-dimensional quality rubric aligned with IEEE 29148 and INCOSE guidelines to ensure rigorous assessment. The difference between the models was analyzed using descriptive statistics and …

Decoupling Piezoelectric And Pyroelectric Effects In Anisotropic Polymer-Ceramic Lattices Produced Via Fused Filament Fabrication, Sofia Alexandra Perez

Open Access Theses & Dissertations

This thesis investigates how multi-material fused filament fabrication (FFF) can be used to engineer lattice structures that decouple piezoelectric and pyroelectric responses within a single polymer–ceramic composite. A hybrid ABS–BaTiO3/PLA lattice—referred to as the Hybrid PIZCAL—was designed to direct mechanical strain along the Z-axis while suppressing deformation in the transverse directions. After thermal poling, the lattice exhibited a 293% increase in Z-axis voltage sensitivity compared to a monolithic ABS–BaTiO3 cube and significantly reduced off-axis electromechanical output. Finite element simulations and directional compression testing confirmed that geometric anisotropy and material zoning produce strong, axis-selective piezoelectric behavior. The second part of this …

Expression And Purification Of Prohibitin Proteins And Investigation Of Their Interaction With Mycobacterium Tuberculosis’S Virulence Factors, Zeina Rhaim

Open Access Theses & Dissertations

Prohibitin (PHB) is a highly conserved mitochondrial protein involved in cell cycle regulation, apoptosis, mitochondrial integrity, macrophage activation, cytokine production and many other critical cell functions. The prohibitin complex, formed by Prohibitin-1 (PHB1) and Prohibitin-2 (PHB2), functions as a mitochondrial membrane-associated receptor. Cancer, neurodegenerative disorders, and renal conditions were found to be linked to an irregular PHB expression. Emerging evidence has also highlighted a significant role for PHB in tuberculosis (TB), particularly through its interactions with Mycobacterium tuberculosis (Mtb) virulence determinants. The molecular mechanisms by which PHB influences TB pathogenesis remain poorly understood. Our preliminary studies showed that PHB1 was …

One Step Fabrication: Software-Automated Printed Circuits Via Multi-Material Additive Manufacturing, Gabriel Sanchez

Open Access Theses & Dissertations

As of now, the creation of 3D printed components faces many issues regarding stability, repeatability, and manual labor. Existing methods lack an integrated software framework that automates circuit generation while ensuring predictable behavior in printed geometries. In this work, circuits are modeled by leveraging distributed equations that reduce to lumped approximations when the printed geometry remains uniform. The system is implemented through a parametric, domain-specific programming workflow and evaluated across 100 Hz to 100 kHz to assess the accuracy of the predicted electrical values. Printed results were validated by empirical studies involving an RLC meter and by comparing both theoretical …

Development And Optimization Of A Deep Level Transient Spectroscopy System, Samuel Ruiz

Open Access Theses & Dissertations

Deep-level transient spectroscopy (DLTS) remains one of the most widely used techniques for identifying electrically active defects that affect leakage current, carrier lifetime, and overall reliability in semiconductor devices. Legacy boxcar or capacitance meter implementations, however, often struggle with limited signal-to-noise ratio, labor-intensive data collection, and poor adaptability across diverse material systems. This thesis presents the design and optimization of a semi-automated, lock-in-amplifier-based DLTS platform. By pairing a Zurich HF2LI with PID-controlled cryogenic sweeps, precision signal generation, and MATLAB driven acquisition and processing scripts, the system will (i) enhance SNR through phase-sensitive detection, programmable low pass filtering, and parasitics calibration; …

What Limits Dryland Ecosystems? Patterns Of Soil Fertility And Resource Limitation In The Chihuahuan Desert, Dylan Stover

Open Access Theses & Dissertations

Human activities are substantially altering global resource cycles with widespread implications for biogeochemistry and ecosystem functioning globally. Drylands, regions where precipitation is outweighed by water losses, are especially sensitive to these large shifts in resource cycles due to their inherently low and variable resource availability. In these regions, resource availability and biological activity are often concentrated around plants – or fertile islands – and predominantly driven by pulses of water. However, our knowledge of the processes influencing biological productivity in drylands – patterns of soil fertility and resource limitation – remains lacking, and their unique biogeochemical and biological processes create …

A Unified Framework For Embedding-Based Synthetic Data Generation With High Cardinality Categorical Features, Cesar Iram Vazquez

Open Access Theses & Dissertations

High-cardinality categorical variables remain difficult to model in tabular data, where classical encoders encounter sparsity, susceptibility to leakage, and the loss of meaningful relational structure. This dissertation develops a unified framework for learning, evaluating, and synthesizing representations of such variables using both traditional encoders and modern embedding methods, including Word2Vec, FastText, Node2Vec, TF–IDF/SVD, and supervised entity embeddings. The framework is applied across three benchmark datasets (Adult, PetFinder, Breast Cancer) and a hierarchical educational case study (IPEDS/CIP). Embedding quality is examined through both downstream predictive performance and structure-focused diagnostics that quantify neighborhood behavior and geometric coherence. To assess whether synthetic data …

Hubert-Based Models And Evaluation Strategies For Pragmatically-Faithful Speech To Speech Translation, Javier Vazquez

Open Access Theses & Dissertations

Pragmatic fidelity in speech-to-speech translation (S2ST) has largely been understudied, leading to communication tools inadequate to support non-superficial dialog. We aim to improve pragmatic faithfulness in English-Spanish translation through the development of machine learning models that are able to predict a corresponding pragmatic representation in the other language. To evaluate performance, we developed a pipeline that utilizes a recently-developed pragmatic similarity evaluation metric to compare models. Further, we developed models that exploit HuBERT features as these have been found suitable for various prosody and pragmatics related tasks. Our models outperformed human and state-of-the-art predictions, albeit the methodology being limited to …

Ode To The Infomercial, Edward Wade

Open Access Theses & Dissertations

'Ode to the Infomercial' is a poetry collection in five sections which explores themes of contemporary American life, parenthood, and the media landscape. While primarily written in a narrative voice, the poetic approach is as diverse as the content. Interwoven throughout the collection is religious imagery and political posturing accompanied by healthy doses of self-criticism and humor.

Metal Zonation And Evolution Of The Bronson Slope Porphyry Cu-Au-Mo Deposit In The Iskut Region Of British Columbia, Canada, Luis Jacobo Yagual

Open Access Theses & Dissertations

Bronson Slope is a Cu-Au-Mo porphyry deposit located within the Stikine Terrane in the Golden Triangle District of northwestern British Columbia, Canada. This deposit represents a complex, multistage magmatic-hydrothermal system emplaced into sedimentary and volcanoclastic rocks of the Triassic Stuhini Group. Bronson has an inferred resource of 517.3 Mt at 0.33 g/t Au, and 0.09% Cu. This study integrates detailed and quick logging from 20 drill holes, totaling 20,296m, SWIR spectral analysis, ICP-MS geochemistry, XRF analysis, magnetic susceptibility measurements, geochronology, and 3D models developed in Leapfrog Geo which define the stratigraphy, intrusive geometry, extension, alteration footprint assemblage, metal zonation, and …

Voices At The Intersection: A Listening Guide Analysis Of Campus-Based Advocates Navigating Institutional Policies On Sexual Violence, Arely Zaragoza-Hernandez

Open Access Theses & Dissertations

Campus-based advocates occupy a critical yet complex position within higher education institutions (Nightingale, 2023; Wood et al., 2021), serving as frontline support for students while simultaneously navigating the mandates, policies, and bureaucratic structures that define their roles. This research study explores the lived experiences of advocates working in university settings, focusing on how institutional mandates from compliance requirements to administrative expectations shape, constrain, and sometimes empower their daily practices. Using a qualitative, phenomenological approach, the study centers the voices of campus-based advocates in Texas to illuminate the tensions between their professional commitments to student-centered care and the institutional imperatives of …

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) …

Activity-Dependent Transit Dose Assessment In 192ir High-Dose-Rate Brachytherapy Surface Applicator Using Gafchromictm Ebt4 Film, Daniel Liu, Emily Draeger, Christopher J Tien, Fada Guan

Faculty, Staff and Student Publications

Purpose: To characterize the newly released GafChromicTM EBT4 film for transit dose measurement in high-dose rate brachytherapy (HDR-BT) surface applicators and to systematically investigate the relationship between transit dose and 192Ir source activity.

Methods: EBT4 film was used to measure dose at 3 mm depth from a horizontally oriented Leipzig-style surface applicator connected to a 192Ir HDR-BT remote afterloading unit. Transit dose was systematically characterized across eight different source activities ranging from 3.372 to 9.716 Ci (13,724 U to 39,544 U) using measurements with seven nominal dwell times (5-100 seconds, scaled to 10 Ci (40,700 U)). Transit dose was derived …

Normalization Of Temperature Effects For Quality Assurance Of Quantitative Prostate Apparent Diffusion Coefficient Imaging Across Multiple Sites, Ken-Pin Hwang, Joshua Yung, R Jason Stafford, Caroline Chung, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Background: Apparent Diffusion Coefficient (ADC) as measured by diffusion weighted imaging is known to negatively correlate with prostate tumor aggressiveness. Heterogeneity in system and protocol performance causes potential variability in ADC acquired across a large scanner network, prompting a need to evaluate quantitative ADC from a prostate-specific MR diffusion protocol as part of quality assurance (QA). Due to the temperature dependence of ADC, repeatability and reproducibility assessments typically require phantoms to maintain a temperature of 0°C, imposing a considerable burden when assessing large numbers of scanners.

Purpose: To develop a QA procedure at room temperature for assessing the reproducibility of …

Learning To Think, Thinking To Learn: A Qualitative Investigation Of Inquiry-Based Learning And Metacognition In Preschools, Jessica Carter

Electronic Theses and Dissertations

In response to an increased focus in the field of early childhood on inquiry-based practices and metacognition, this qualitative study was designed to investigate a variety of approaches to planning and facilitating classroom inquiry. Additionally, this research was designed to discover the ways in which metacognitive strategies are used in preschool classrooms to foster the learning process. Using teacher interviews, classroom observation, and analyses of teachers’ planning documents in a multiple case study design, this study focused on five Reggio-inspired classrooms to investigate the planning and teaching practices of preschool teachers related to inquiry-based learning. Of importance was their use …

Strategic Enhancement Of Biofuel Production Using Bacillus Subtilis As A Model Organism: A Dual Approach Of Gene Essentiality Mapping And Optimization, Angela A. Zebede

Electronic Theses and Dissertations

With rising global demand for renewable energy, enhancing microbial platforms for biofuel production is vital. This study engineered Bacillus subtilis to improve resilience to solvent stress by targeting membrane lipid biosynthesis pathways essential for integrity. Growth curve analysis (OD₆₀₀) showed that phosphatidylserine (PS) and phosphatidylethanolamine (PE) knockout strains grew significantly slower than wild type (168), indicating the importance of these lipids under stress. Laurdan fluorescence spectroscopy was used to assess membrane properties. Generalized polarization (GP) analysis revealed a concentration-dependent reduction in membrane order upon 1%–2% 1-butanol exposure. GP values declined progressively from control to 2% treatment, reflecting increased membrane fluidity …

Divergent Responses Of Branched-Chain And Straight-Chain Lipid Membranes To Butanol Stress Revealed By All-Atom Molecular Dynamics Simulations, Joshua Olaf Aggrey

Electronic Theses and Dissertations

Membrane integrity under chemical stress is critical to cellular survival and industrial microbial bioproduction, yet the molecular basis of bilayer resilience remains poorly understood. Using all-atom molecular dynamics simulation, we compare the effect of increasing concentrations of 1‑butanol on membranes composed of straight-chain (1,2-dipalmitoyl-sn-glycero-3-phosphocholine, DPPC) and branched-chain (1-anteiso-palmitoyl-2-palmitoyl-sn-glycero-3-phosphocholine, APPC) lipids, which differ in the point of attachment of a single methyl group. In the absence of butanol, both membranes exhibit well-ordered architectures consistent with experimental benchmarks; however, under increasing solvent stress, their behaviors diverge markedly. DPPC membranes display gradual thinning, modest area per lipid …

Tennessee Reconnect And Adult Learner Retention, Brandon R. Dotson

Electronic Theses and Dissertations

This study examined the relationship between participation in the Tennessee Reconnect (TNReconnect) program and the retention of adult learners at two community colleges in northeast Tennessee. Grounded in Astin’s (1993) Input–Environment–Outcome (I-E-O) model, the study employed quantitative methods to investigate whether program duration, demographic characteristics, academic performance, and financial aid status predicted the likelihood of retention among adult learners.

Using institutional records of 2,355 students, binary logistic regression analyses were conducted across three models. The first model tested whether the duration of TNReconnect participation predicted retention. Results indicated that both program duration and GPA were significant predictors. Each additional semester …

Behavioral Manifestations Of Childhood Abandonment: African-American Men's Reflections And Strategies To Support Teenage Boys In K-12 Education, Jarmel Bell

Electronic Theses and Dissertations

The purpose of this study was to explore the behavioral manifestations of childhood abandonment as reflected in the lived experiences of African-American men and to identify strategies that may support African-American boys in K–12 educational settings. Although there has been limited documentation regarding the direct connection between childhood abandonment and behavioral challenges in school environments, this study seeks to address that gap by capturing the reflections of African-American men who experienced abandonment during their formative years. These reflections provide insight into how abandonment may shape behavior in educational spaces and what types of interventions or supports might have made a …

A Comparative-Correlational Study On The Mental Health And Well-Being Of First-Generation Students At A Historically Black College And University, Shedred Jackson

Electronic Theses and Dissertations

The purpose of this study was to investigate the mental health and well-being of first-generation college students (FGCS) in comparison to non-first-generation college students (NFGCS) at a private Historically Black College and University (HBCU) in the Southeast. This study was undertaken to investigate students' mental health and well-being, as well as their use of, access to, and the availability of mental health services. A comparative-correlational research design was employed to collect and analyze the data. The study used a sample size of 388 responses from undergraduate college students enrolled at the private HBCU. Of the 388 students in the sample, …

Teacher Perceptions Of The Effectiveness Of Voluntary Pre-Kindergarten Attendance, Kimberly Taylor

Electronic Theses and Dissertations

The purpose of this study was to identify the perceptions of educators with respect to student enrollment in voluntary pre-kindergarten classes provided through the Tennessee Department of Education in public schools. The data collection strategy used to gain teacher perspectives was through conducting one-on-one interviews with 15 educators in three Tennessee school districts. To qualify for the study, teachers must have been teaching in kindergarten classrooms that receive students who had previously been enrolled in the school’s pre-kindergarten program. Data collection and analysis were based on the Grounded Theory approach which uses data that is systematically gained and analyzed to …

Deep Learning With Kalman Filter, Rexford Julius Quaye

Electronic Theses and Dissertations

This thesis presents an extension of the Kalman filter to handle nonlinear and non-Gaussian systems. The standard Kalman filter is optimal under Gaussian assumptions but struggles with more complex noise models. This work introduces a novel loss function based on the Mahalanobis distance, which incorporates the covariance structure of measurement errors, enabling the filter to adapt to non-Gaussian scenarios. The neural network framework is applied to predict the system’s process model, while retaining the classical Kalman measurement update. The proposed methodology is demonstrated through examples of car position and rocket altitude tracking. The results show that the new approach performs …

Adoptive Parents Use Of Social Media To Discuss Adoption Communicative Openness, Hannah Araba Baidoo

Electronic Theses and Dissertations

Adoption communicative openness (ACO) involves dialogue between adoptive parents and their adopted children about adoption-related issues. Through this communication, parents share information about birth families and address adoptees questions to support psychological well-being. Although ACO benefits adoptees, research rarely examines how adoptive parents themselves practice and experience openness. This study explores how adoptive parents discuss ACO with one another on the r/AdoptiveParents subreddit. Using qualitative discourse analysis, it examines how parents describe their challenges, and success surrounding communication openness. The analysis highlights parent’s concerns about when and how to disclose adoption information and the uncertainty that shapes their communication choices. …

Exploring The Impacts Of Medical Invalidation On Postpartum Parents With Pcos, Shalini Venkat

Electronic Theses and Dissertations

Individuals with polycystic ovary syndrome (PCOS) face an increased risk of poor perinatal health, yet little is known about whether negative healthcare experiences contribute toward these outcomes. Patients with PCOS have reported experiencing invalidation by healthcare providers; however, the effects of these encounters in postpartum populations remain unclear. Using data from an online survey, the current study investigated whether PCOS status moderated the relationships between invalidating communication by healthcare providers, pregnancy and birth complications, postpartum depression, and postpartum anxiety. While experiences of invalidating communication by healthcare providers predicted worse perinatal health, those with PCOS solely experienced an increased risk of …

The Development Of Teacher-Student Relationships In The Elementary School Setting And Their Influence On The Whole Child, Jana H. Kline

Electronic Theses and Dissertations

The relationship students have with teachers can influence their social development, behavior, and academic performance. Some teachers naturally build positive relationships with students while others may not realize the importance or know how to build them unless specific strategies are given. The purpose of this phenomenological, qualitative research study was to examine teacher perceptions of the development of relationships with students in the elementary school setting and their influence on the whole child.

To address this purpose, data collection strategies included individual interviews with elementary school teachers. Analysis of data involved transcribing interviews and line-by-line coding. Themes regarding teacher-student relationships …

Undergraduate Students' Perceptions Of Sense Of Belonging And Engagement Opportunities In The Campus Community, Shelby Jo Akers

Electronic Theses and Dissertations

This non-experimental, correlational, quantitative study examined the relationship between undergraduate students’ perceptions of sense of belonging and their participation in university programming and engagement opportunities at a medium-sized public institution in the Southeastern United States. Guided by the Integrative Framework for Belonging (Allen et al., 2021), the study explored how specific student factors including academic major, campus residency status, class standing, primary mode of instruction, and employment status intersect with engagement to shape students’ sense of belonging. Engagement opportunities that were measured included dimensions of campus facility use and participation in clubs and organizations. Questions related to perceptions of the …

Postprocessing Gan-Generated Synthetic Time Series Using Dynamic Time Warping, Md Raisul Islam Roni

Electronic Theses and Dissertations

Generative Adversarial Networks (GANs) are a class of deep learning models capable of producing realistic synthetic data that preserve the statistical and temporal characteristics of real datasets. The DoppelGANger (DGAN) framework extends this approach to time series data by jointly modeling temporal dependencies and contextual metadata. However, synthetic sequences generated by GAN may show temporal misalignment, resulting in inconsistencies when compared with real data. This study presents a postprocessing framework based on Dynamic Time Warping (DTW) and its differentiable extension Soft-DTW to improve the temporal alignment of synthetic time series. The framework is evaluated using quantitative measures of alignment and …