Digital Commons Network^™

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 …

Lack Of Multidisciplinary Collaboration In Stroke Rehabilitation In Pakistan: A Call For Integrated Care Models, Etisam Wahid, Shahzad Ahmad, Nimrah Humayoon

Pakistan Journal of Neurological Sciences (PJNS)

No abstract provided.

A Psychometric Evaluation Of The Pbss-20 Among Sexual And Non-Sexual Minority College Students, Alex Melville

Master's Theses

This study evaluated the psychometric properties of the Protective-Behavioral Strategies Scale-20 in a large national sample of college students containing sexual minority and non-sexual minority students. Specifically, confirmatory factor analysis was used to evaluate the model fit with this sample, invariance testing was used to compare the model among sexual and non-sexual minority students, and construct validity was evaluated. Participants included college students (N = 1,730; M_age = 19.41) from 12 universities across the United States, who were predominantly White non-Hispanic (63.6%), identified as female (70%), and as completely heterosexual (67.6%). Participants completed demographic information and measures of …

Isolation Of The 2019 Bonnet Carré Spillway Effects On The Habitat Suitability Of Brown Shrimp (Farfantepenaeus Aztecus) And Blue Crab (Callinectes Sapidus) Using A Modeling Approach, Mallory Dyson

Master's Theses

In 2019, an unprecedented flood year, the Bonnet Carré Spillway (BCS) was opened on two separate occasions (February 27^th to April 11^th, and May 10^th through July 27^th) diverting a volume 6 times the volume of Lake Pontchartrain into the surrounding coastal waters of Louisiana, Mississippi, and Alabama. The goal of this research was to determine the spatio-temporal influence of these freshwater releases on two economically and ecologically important species (Farfantepenaeus aztecus and Callinectes sapidus) with variable responses to salinity and temperature depending on the age class. The Habitat Suitability Index (HSI) …

Feature Extraction From Railroad Bearing Onboard Vibration Sensors Using Machine Learning Models, Diego Cantu

Theses and Dissertations

The University Transportation Center for Railway Safety (UTCRS) has developed an algorithm capable of identifying defective railroad bearings, determining damaged component(s) within, and quantifying severity of the defects. The defect-detection algorithm requires the operating speed as an input, which is not readily available in field operation of onboard sensors. Therefore, onboard sensors deployed in rail revenue service must rely on Global Positioning Systems (GPS) to obtain speed, which can be power-intensive and susceptible to signal interference. This study covers the development of a vibration-based model that extracts operating speed from wireless sensor data to enable fully autonomous onboard diagnostics. Signal …

Cosmetic Surgery And Physiological Disorder: You Should Talk To Someone About Your Unwinding Anxiety, Mona Muzammil, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Body dysmorphic disorder is a mental health condition in which you can't stop thinking about one or more perceived defects or flaws in your appearance — a flaw that appears minor or can't be seen by others. But you may feel so embarrassed, ashamed and anxious that you may avoid many social situations.

When you have body dysmorphic disorder, you intensely focus on your appearance and body image, repeatedly checking the mirror, grooming or seeking reassurance, sometimes for many hours each day. Your perceived flaw and the repetitive behaviors cause you significant distress and impact your ability to function in …

Factors Influencing Teacher Professional Autonomy And Career Satisfaction: The Effects Of Unrealistic Professional Expectations Surrounding Student-Centered And Technology Implementation Tropes, Karla Gabriela Lopez

Theses and Dissertations

The research problem is to investigate to what extent unrealistic professional expectations stemming from a predominant emphasis on the tropes of student-centeredness and technology integration impact teachers’ experiences of professional autonomy and career satisfaction. The purpose of this study is to find out what factors impact teacher autonomy and career satisfaction while also considering how teachers can be effectively supported to improve these areas. Utilizing a narrative inquiry approach, this qualitative study will be held in the Rio Grande Valley and will analyze interviews of both current teachers and teachers who have recently left the profession. Therefore, this study will …

Influence Of Peer-Led Team Learning In Students’ Chemistry Self-Efficacy, And Academic Achievement In General Chemistry Courses, Hector Leal

Theses and Dissertations

One of the most perplexing issues facing peer cooperative learning is dealing with student motivation and goal orientation. Sometimes the students who could most benefit from the positive effects of peer learning are the ones least likely to participate due to fear of exposing their academic weaknesses to others or even to themselves (Arendale, 2020). Exploring the complexity of student motivation is being carefully studied amongst elementary and secondary education student populations. However, this important construct is often ignored in the study of postsecondary education in general, and the provision of learning assistance, particularly at the college level. My purpose …

Cyberbullying And Mental Health Issues Among University Students, Brandi N. Cruz

Theses and Dissertations

According to the CDC (2024), bullying can lead to social and emotional distress, self-harm, and death. Bullying can also increase the risk for depression, anxiety, and poor academic achievement. The increased use of social media and the rise in cyberbullying (CB) and related mental health concerns among emerging adults is highly disconcerting, especially given their propensity for mental health problems. The purpose of this study is to increase the understanding of young university students’ perceptions about CB victimization and whether CB affects their mental health. A cross-sectional research design was used to conduct the study. In this study the number …

Decolonizing The Whitexican: Reclaiming Identity Through Nahuatl And Mesoamerican Motifs, Laia Ivanna Vite Cano

Theses and Dissertations

This thesis explores the intersection of art, linguistics, and ideography through the lens of personal and cultural heritage rooted in the Huasteca region of Central Mexico. Drawing inspiration from familial connections to the pueblos of Huazalingo and Huejutla in Hidalgo, Mexico, the research examines the cultural complexities of bicultural and binational experiences. It is grounded in the theoretical framework of Nepantla, a concept introduced by Gloria Anzaldúa to describe the unseen space of the border life as one of existing between worlds, identities, and cultures. Included and essential to this work is the Coyolxauhqui Imperative, which informs the process of …

Computational Expressions Of Void Reactions In Extended Chemical Reaction Network Models, Aiden J. Massie

Theses and Dissertations

Chemical Reaction Networks (CRNs) are a system of abstraction of real-world chemical dynamics. Each CRN system is defined as a pair of molecular species and reaction rules, which consume a set of reactant species and create a new set of product species. In this paper, we investigate the simple class of void reactions, which cannot create new species and are computationally weak with small-enough sizes in basic CRNs. Here, we study their computational expression in more powerful extended CRN models. Specifically, we consider the Step CRN model, in which new species are added into the system through a sequence of …

Interactive Effects Of Nutrient Loading And Hyposalinityon The Physiological Responses Of The Red Macroalga Gracilaria Tikvahiae, Donavuan Vincent Salazar

Theses and Dissertations

Coastal macroalgae face anthropogenic stressors such as nutrient enrichment from nitrogen fertilizers and reduced salinity linked to flooding. The physiological impacts of these combined stressors remain unclear. This study examined interactive effects of nitrogen loading and hyposalinity on Gracilaria tikvahiae through a 9‑day laboratory experiment. Samples experienced declining salinity (35–0 ppt) with nitrate or ammonia enrichment (120 µmol/L). Measurements included primary production, respiration, biomass, nitrate uptake, and chlorophyll‑a. Hyposalinity significantly reduced physiological performance, with gross primary production declining over 100%, chlorophyll‑a content 25–45% lower, biomass loss, and reduced nitrogen uptake. Nitrogen enrichment failed to mitigate the adverse impacts under hyposaline …

Modern Water And Sediment Transport Patterns In Alluvial Ridge Basins Of The Rio Grande Delta, South Texas, Usa, Waqid Nabi

Theses and Dissertations

Alluvial ridge (AR) basins are shallow, marine-influenced depressions within river deltas, yet their flow and sediment dynamics remain poorly understood. This study examines hydrodynamics and sediment transport patterns in the Bahia Grande Complex, which are AR basins of the Rio Grande Delta, using tilt current meters, water-level and turbidity loggers, and suspended and bed-sediment sampling. The AR basins function as wind-dominated, microtidal environments, where pre-existing basin geometry and hydrodynamic forcings control water flow and sediment distribution patterns. Seasonal wind patterns and storms modulate water levels and flow connectivity. Substrate patterns reflect frequent resuspension in the shallow northern basin, maintaining coarse …

Design And Evaluation Of Gamified Kahoot Modules For Improving Engagement And Conceptual Understanding Of Introductory Physics Students, Yaritza Villarreal

Theses and Dissertations

This study investigates the effectiveness of gamified learning modules in enhancing the engagement and conceptual understanding of introductory physics students. The first phase of this study focused on the design and development of gamified learning modules for selected topics in introductory physics. The modules were developed by integrating principles of Backward Design, following an escape-room theme with interactive scenarios, and incorporating classic game elements (e.g., points and leaderboards).

The second phase examined the effectiveness of the gamified Kahoot modules using a pretest-posttest control-group design. Sixty-eight (68) students were equally randomly assigned to the control and experimental groups. The experimental group …

Glp-1 Medications For Kids: Do They Work, And At What Price?, Sylvia Peña, Marilyn Frenn

College of Nursing Faculty Research and Publications

Context

Childhood obesity continues to increase along with the numbers of children with severe obesity and related comorbidities. This meta-analysis1 sought to determine whether or not glucagon-like peptide-1 receptor agonist (GLP-1 RA) medications are safe and effective for children and adolescents.

Methods

Appropriate search and abstraction approaches were used in the meta-analysis of randomised controlled trials making it the highest level of evidence. Included studies were those with participants younger than 18 years with obesity, overweight, pre-diabetes or type 2 diabetes (T2D) assessing GLP-1 RAs alone or with lifestyle modification versus placebo published between 2023 and 2025. Most participants …

Rapid Evidence Review: Terror Incidents And Perceived Terrorism Risks At Events, Tin L. Nguyen, Callie Vitro, Sarah Schappert, Allison E. Munderloh, Erin M. Kearns

Reports, Projects, and Research

Since the 1972 Munich Olympics, mass gatherings for sport, music, and other entertainment have been viewed as highly vulnerable, culturally significant targets for terrorist attacks. Although research on the enactment and implications of terrorism have become more commonplace, comparatively little research has examined terrorism in the context of organized gatherings and the event venues which host them. Through a rapid evidence review, we summarize empirical research on (a) international incidents of terrorism and (b) perceived terrorism risks at large-scale public events and event venues, as well as (c) their psychological, behavioral, and social/news media effects. This research brief is intended …

Next-Generation Terrorism: Understanding Agentic Ai Systems And Potential For Malign Use, Alexis D'Amato, Ares Boira-Lopez, Emma Theobald, Meg Shercliffe, Jack Rygg, Samuel Hunter, Joel Elson

Reports, Projects, and Research

The call for an increased understanding of artificial intelligence in the U.S. AI Action Plan (The White House, 2025), in tandem with the growing use of AI by terrorist organizations (see Theobald et al., 2025), motivates our effort to provide clarity around the emerging technologies. In doing so, we define and distinguish the features of agentic AI and provide several case studies to illustrate the nefarious use of these tools. Although the current base rate for this type of use is low, we forecast hypothetical use cases given previous examples of terrorists adopting technology and outline the malign use of …

Local Government Standing As State Standing, Katharine Cooney, Katherine Mims Crocker

Faculty Scholarship

It is increasingly common, and controversial, for local governments to bring lawsuits as plaintiffs in federal court. Many questions about this practice raise matters that sound in policy. But some, including the issue of standing to sue, also raise issues of constitutional law. How local governments fit into standing rules should reflect how they fit into the U.S. constitutional system more broadly. As the Supreme Court put it in the famous (and infamous) 1907 case Hunter v. City of Pittsburgh, "[m]unicipal corporations are political subdivisions of the State, created as convenient agencies for exercising such of the governmental powers of …

Copyright, Incentives, And Popular Music Composition, Glynn S. Lunney Jr.

Faculty Scholarship

The rise of file sharing and the subsequent collapse in sales of recorded music offer a rare glimpse into a counterfactual world where copyright, for a time, was weakened. Comparing creative output before and after this exogenous shock allows us to test empirically whether incentives to copyright owners were correlated with creative output. In this article, I extend previous work on this issue from recording artists to songwriters and search for a correlation between incentives and popular music composition. In particular, I test three hypotheses. First, I test whether more incentives were associated with more or better popular musical compositions. …