Digital Commons Network^™

Evaluating The Feasibility Of Gene Replacement Strategies To Treat Mtrfr Deficiency., Samia L Pratt, Mariana Zarate-Mendez, Lidiia Koludarova, Sonja Jansson, Mikko Airavaara, Irena Hlushchuk, David Coleman, Caleb Heffner, Rita Horvath, Brendan J Battersby, Robert W. Burgess

Faculty Research 2025

Mitochondrial translation release factor in rescue (MTRFR) catalyzes a termination step in protein synthesis, facilitating release of the nascent chain from mitoribosomes. Pathogenic variants in MTRFR cause MTRFR deficiency and are loss-of-function variants. Here, we tested gene replacement as a possible therapeutic strategy. A truncating mutation (K155*) was generated in mice; however, homozygotes die embryonically whereas mice heterozygous for this K155* allele are normal. We also generated transgenic strains expressing either wild-type human MTRFR or a partially functional MTRFR. Despite dose-dependent phenotypes from overexpression in vitro, neither transgene caused adverse effects in vivo. In K155* homozygous mice, the wild-type MTRFR …

Experimental Study Of Novel Bcsa Scc Repair Materials And Implications On Corrosion In Bcsa Concrete Structures, Elizabeth S.M. Poblete

Graduate Theses and Dissertations

Some current building codes for structural concrete allow the use of alternative cement concrete if their structural, durability, and fire performance can be shown to be comparable to portland cement (PC) concrete. One such alternative cement, belitic calcium sulfoaluminate (BCSA) cement, is a promising standalone replacement for portland cement given its lower global warming potential (GWP), fast setting time, and high early age compressive strength. These properties also make it an ideal repair material. But repair materials often need to be highly flowable and easy to consolidate and their performance when used to repair PC concrete structures must be understood. …

Who Gets To Have Fun? The Alternative Earmarking Of A Memecoin Marketplace, Mia Tanner

Sociology Honors Projects

Past research on cryptocurrency has highlighted its sociotechnical aspects, framing crypto projects as community-grounded movements disrupting traditional state and market structures through technological advancements. What happens when these disruptive promises are absent or only playfully invoked? Cryptocurrencies known as “memecoins” have grown their own followings without pledging future legitimacy that would seriously challenge existing institutions, instead linking their value to the meme they brand themselves with and vague democratic promises. That new scheme of valuation is especially evident in coins launched on the site pump.fun, which has lowered the barriers to crypto-coin creation. The platform's accessibility provides a new dimension …

Design, Testing, And Characterization Of A Dc-Discharge Miniature Gridded Ion Thruster, Ishaan Mishra

Senior Project - Physics and Optical Engineering

Gridded Ion Thrusters are a satellite propulsion system that generate a Low- Temperature Plasma and electrostatically accelerates the ions to produce thrust at a high specific impulse. This work presents the design, testing, and initial characterization of a 3- cm diameter DC-discharge ring-cusp Gridded Ion Thruster that utilizes Argon as a propellant. The test infrastructure including vacuum chamber, propellant feed system, and power supplies are detailed, and operation of the ion thruster described. The material selections and design details have been presented, along with characterization based on steady-state propellant and power inputs described. In addition, a Heaterless Hollow Cathode design …

Foreword: The ‘Why’ & How’ Of Artificial Intelligence In Legal Scholarship, Spencer Nayar, Michael I. Cooper

Texas A&M Journal of Property Law

In the course of publishing the 2024–25 Volume of the Texas A&M Journal of Property Law, we, the Editorial Board, were presented with the opportunity to publish a collection of articles drafted explicitly with the assistance of Artificial Intelligence (“AI”). After some consideration, we made the decision to do so. The following is our endeavor to share with our peers and colleagues—who may soon find themselves in similar situations—what we have learned in this process and, separately, contribute some forward-looking standards that can be implemented in the arena of legal scholarship for the transparent signaling and taxonomizing of AI-assisted works.

Accelerating Knowledge Graph And Ontology Engineering With Large Language Models, Cogan Shimizu, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Large Language Models bear the promise of significant acceleration of key Knowledge Graph and Ontology Engineering tasks, including ontology modeling, extension, modification, population, alignment, as well as entity disambiguation. We lay out LLM-based Knowledge Graph and Ontology Engineering as a new and coming area of research, and argue that modular approaches to ontologies will be of central importance.

Getting The Most From Ai Tools: A Practical Guide To Writing Effective Prompts, John Lande

Faculty Publications

This article is a companion to How I Learned to Stop Worrying and Love the Bot: What I Learned About AI and What You Can Too. This article helps users, especially those in dispute resolution roles, learn how to write effective prompts and engage productively with artificial intelligence (AI) tools. The goal is to make AI less intimidating and more useful – one good question at a time.

The article shows how users can choose appropriate tools, formulate effective prompts, and generate useful results. It offers role-specific prompt suggestions for mediators, attorneys, disputants, ADR program managers, law school faculty, …

Effects Of Thermal Interface Materials On Thermal Conductivity Measurement Using A Modified Astm D5470 Thermal Resistance Tester, Chinmaya Joshi

Mechanical Engineering Undergraduate Honors Theses

In this paper, we have investigated the effect of thermal interface materials (TIMs) on the accuracy and uncertainty of thermal conductivity measurements. A modified ASTM D5470 thermal resistance tester (TRT) is developed to measure the out-of-plane thermal conductivity of pyrolytic graphite (PG) and grade 2 titanium (TiG2) with and without TIMs. Compared to the ASTM D5470 standard, this modified design uses three thermocouples per side to support regressive analysis and explores the use of TIMs.s Nine PG samples and four TiG2 samples of varying thickness have been tested to obtain thermal resistance as a function of sample thickness. The steady-state …

Multi-Domain Machine Learning For Biological Classification: Mallard Classification And Protein Function Prediction, Tolulope Samuel Adeyina

Open Access Theses & Dissertations

Multi-domain machine learning applications have revolutionized how we understand and predict complex biological phenomena. This dissertation presents novel computational methodologies addressing two critical problems: mallard classification using single-nucleotide polymorphisms (SNPs), and protein function prediction via interpretable topic-aware peptide embeddings. The research focuses on distinguishing mallard populations through SNP data, which are inherently characterized by ultra-high dimensionality. The research uses advanced feature-selection and dimensionality-reduction strategies alongside machine learning classification algorithms to identify minimal, yet highly predictive SNP sets crucial for accurate breed differentiation. This framework demonstrates robust performance with optimal computational efficiency, significantly aiding conservation and breed management efforts. Furthermore, the …

Optimal Experimental Plan For Multi-Level Stress Testing Under Progressively Hybrid Censoring, David Kojo Amakye

Open Access Theses & Dissertations

Reliability analysis is essential for understanding how products perform over time, particularly in environments where failure data is limited or costly to obtain. One effective approach is multi-level stress testing, where test units are subjected to varying levels of stress to accelerate failures and extract more information within constrained timeframes. This study presents a novel optimization-based framework for designing life-testing experiments under progressively Type-II hybrid censoring, assuming Weibull lifetime distributions. Leveraging a Variable Neighborhood Search (VNS) algorithm, we determine efficient allocations of test units and censoring parameters across multiple stress levels to enhance the precision of estimates of the model …

Utilization Of Lunar Regolith For Water Production And Rocket Propulsion On The Moon, Dominic Austen

Open Access Theses & Dissertations

In-situ resource utilization (ISRU) is pivotal for sustainable space exploration. Lunar ISRU has primarily focused on the extraction of oxygen from regolith for breathing and propulsion and, more recently, on harnessing surface ice to produce liquid hydrogen and oxygen for propulsion. Lunar regolith simulant LHS-1 is currently used to develop thermal technologies for water extraction from icy regolith in the polar regions of the Moon. However, the development of these technologies is hindered by the lack of data on the thermophysical properties of LHS-1 at low temperatures and on the kinetics of water sublimation from icy regolith. In this dissertation, …

A Numerical Analysis Tool To Evaluate Pavements Integrated With Dynamic Wireless Power Transfer Technology, Hector Cruz

Open Access Theses & Dissertations

As electric vehicles (EVs) continue to gain market share in the U.S., the integration of dynamic wireless power transfer (DWPT) systems into pavements has emerged as a promising solution to address range anxiety and infrastructure limitations. However, the structural implications of embedding DWPT technology into roadways remain insufficiently explored. This dissertation presents the development and application of a numerical analysis tool to evaluate the mechanical performance of flexible pavements containing embedded charging units (CUs). A series of finite element models, validated with full-scale experimental data, were used to assess the influence of axle loading, material properties, layer configurations, bonding conditions, …

Sustainable Agriculture Through Data-Driven Land And Soil Management For Rural Farming Communities, Peggy Clareece Discenza

Open Access Theses & Dissertations

This thesis aims to investigate sustainable farming practices by utilizing a database containing soil, weather, and water data. Additionally, it evaluates cropping strategies using a system that incorporates nutrient dynamics and environmental values. The objective is to monitor, develop predictive models, and assess the impact of both controlled and uncontrolled nutrient variables. This is achieved through the development of an algorithm that provides information on soil health based on datasets and land use, with a particular focus on residual values after harvesting for deeper analytical insights and interpretation. This study focuses on key nutrients, including pH levels, water availability, and …

Electrodeposition Of Gallium Nitride_Unraveling The Role Of Precursors, Deposition Conditions, And Substrate Effects For Semiconductor Applications, Mauricio Azier Leyva Aranzabal

Open Access Theses & Dissertations

Gallium nitride (GaN) is a wide-bandgap semiconductor noted for its remarkable optoelectronic and structural characteristics, rendering it a potential material for high-power, high-frequency, and optoelectronic device applications. This dissertation investigates the electrochemical synthesis of GaN thin films by potentiostatic and galvanostatic electrodeposition techniques using aqueous solutions of gallium nitrate (Ga(NO3)3), ammonium nitrate (NH4NO3), and auxiliary agents like potassium nitrate and urea. The main aim is to examine the essential elements affecting nitrogen incorporation and film shape while assessing electrochemical performance on various conductive substrates.A thorough investigation was performed to evaluate the impacts of electrodeposition duration, electrolyte pH, precursor molar concentrations, …

An Alienated Population; Societal Issues And Educational Neglect In The Field Of Gifted Education, A Narrative Literature Review, Venus Jennifer Mendez

Open Access Theses & Dissertations

The purpose of this narrative literature review is to explore societal issues and educational neglect in gifted education, focusing particularly on the underrepresentation of African American and Hispanic students. Through a comprehensive analysis of 36 peer-reviewed sources, the study reveals systemic inequities which leads to a creation of different themes stemming from racial and linguistic biases, imprecise definitions of giftedness, and the lack of teacher diversity, which collectively hinder equitable access to gifted programs. The findings magnify the urgent need for reform in identification process and procedures where the impact of having imprecise definitions and a lack of teacher diversity …

A Systems Engineering Approach For Mitigating Space Debris In Earth's Orbital Regimes, Manuel Soto

Open Access Theses & Dissertations

Space debris in Earth's orbital regimes is a complex threat that originates with human space activity and is maintained by Earth's gravitational force. Space debris poses the risk of colliding with and destroying operational space assets. These collisions, in turn, pose the risk of compounding space debris fragments by turning operational space entities involved in collisions into additional space debris. In other words, the space debris impact does not end with a fragment colliding with a space entity. Instead, the collision is a new space-debris birth since the entities colliding are likely to become multiple fragments. Depending on the collision's …

Navigating The Challenges Of Coccidioides Surveillance: Insights From The Environment Of El Paso County, Texas, Tanzir Hossain

Open Access Theses & Dissertations

Coccidioidomycosis, or Valley fever, is a fungal infection resulting from the inhalation of spores from the Coccidioides species (C. immitis and C. posadasii), native to arid areas of the Western Hemisphere. Coccidioidomycosis presents considerable health hazards and can be fatal. It affects between 206,000 and 360,000 individuals annually, leading to 700 to 1,100 fatalities in the United States alone. In response to these issues, extensive research has concentrated on therapeutic goals for this infectious disease. Nonetheless, more limited research has focused on the environmental detection of its causative fungi, which is crucial for forecasting treatment needs and formulating preventive strategies. …

Optimizing And Training An Svm-Based Breast Cancer Tumor Classifier, Kevin Lopatka

Master's Theses

With advancements in technology, turning to machine learning has become a popular choice for aiding clinicians in the diagnoses of breast cancer malignancies. While the neural networking approach has been vetted thoroughly, this work aims to take advantage of traditional machine learning techniques; mainly support vector machine learning and the optimizing of feature extraction. The discrete-wavelet transform is used in the feature extraction stage of machine learning. Previous works that use this feature extraction technique are analyzed and expanded upon by utilizing a variety of different wavelets as well as other color-spaces with the goal of achieving higher result metrics …

Modeling And Analysis Of A Hybrid Ac/Dc Green Seaport Power System With Photovoltaic Generation And Battery Energy Storage Systems, Corey Zaas

Master's Theses

This thesis investigates the modeling, simulation, and analysis of a Green Seaport power system integrating photovoltaic (PV) generation, battery energy storage systems (BESS), and coordinated protection within a hybrid AC/DC framework. The work improves a previously established model, enhancing it with detailed protection studies and simultaneous AC/DC power flow analysis using EasyPower software. The system was evaluated under a wide range of operating conditions, including varying solar irradiance, battery charge and discharge states, and both full and zero load conditions. Key performance indicators included voltage regulation, power factor behavior, equipment loading, protection device coordination, and total system power losses. Simulation …

Artificial Intelligence In Modern Game Development, Karan Raval

ART 108: Introduction to Games Studies

Artificial intelligence has transformed the landscape of game development in ways early pioneers could only imagine. In my project I explore four major phases of AI evolution: classical AI methods, the rise of machine learning, the advent of transformer architectures, and a spirited debate about whether transformers truly think. To illustrate these shifts I use examples like MYCIN, which helped doctors decide treatments, and Deep Blue, which beat a world chess champion. You’ve probably lost track of time exploring an open world that adapts to your choices, right? That sense of immersion is powered by AI behind the scenes. From …

Creative Specialists: Exploring Creativity, Improvisation, And Jazz In Music Education, Stephen Oliver Vaughan

Dissertations

This qualitative case study explored the process of musical creativity in musicians who are educators and improvisers specifically. Creativity takes on many forms; however, improvisational creativity has subjective-uniqueness that is valuable to many research areas, such as education, psychology, sports science, and leadership. The following research questions guided the study:

Q1 How do professional improvising music educators define creativity?

Q2 How does the creative process manifest itself within their performance and teaching?

Through purposeful sampling, four participants were selected and interviewed to collectively create 7-8 hours of narrative data producing 200 pages of data. Participants as creative specialists were selected …

Sexual And/Or Gender Minority (Sgm) Stigma Within Nursing Schools: The Relationship Between Stigmatic School Attributes, Minority Stressors, And Sgm Nursing Student Mental Health, Michelle Gee

Dissertations

Nursing education is heteronormative and cis-normative, which has been correlated to stigma and ignorance exhibited by nurses towards sexual and/or gender minorities (SGM). Minority Stress Theory (MST) states that circumstances in the environment that promote stigma related to minority identities lead to unique minority stressors, such as discrimination. These minority stressors subsequently affect mental health. While it is known that SGM patients experience mental health issues that relate to stigma and discrimination in healthcare settings, nothing is known about SGM nursing students dealing with stigma and discrimination within nursing education. The aim of this descriptive correlational study was to inform …

Production Pressure And Normalization Of Deviance: An Examination Of Their Prevalence Among Certified Registered Nurse Anesthetists In Their Primary Clinical Practice Setting, Jeremy Stephen Carter

Dissertations

Normalization of deviance (NoD) occurs when an individual intentionally and repeatedly circumvents established standards of care, professional regulations, or institutional policies designed to maintain safety. Over time, these violations become incorporated into the individual’s routine until they are no longer viewed as safety threats but as acceptable means to achieving organizational goals. Production pressure (PP) occurs when an individual perceives pressure to maximize productivity—either from another individual or administrators within an organization. Production pressure is frequently cited as a leading cause of NoD within all industries. The purpose of this study was to examine the prevalence of PP and NoD …

The Electric Revolution: A Quantitative Analysis Of Tesla's Sales Growth, Mason Bravo

Accounting Undergraduate Honors Theses

This thesis explores the key factors influencing Tesla's sales growth within the evolving electric vehicle (EV) market. It uses regression analysis to quantify the impact of average sales price, charging infrastructure, EV demand, and macroeconomic performance on Tesla's vehicle sales. The analysis is based on data from Tesla's annual reports, the Alternative Fuels Data Center, the International Energy Agency, and the Bureau of Labor Statistics. Key findings include a significant negative correlation between average sales price and vehicle sales, and a strong positive correlation between charging infrastructure and sales. These insights offer valuable implications for Tesla’s strategic decision-making, investor analysis, …

Razorback Analytics And Consulting: Driving Innovation, Clayton J. Chapman

Accounting Undergraduate Honors Theses

Under the identity of Razorbacks Analytics and Consulting, a consultation company, recommendations are made into the future of the vehicle manufacturing industry. Based on financial statement and industry data, Razorbacks Analytics and Consulting advises manufacturers about the uncertainty and high cost of transitioning vehicle lineups to electric powertrains. Recommendations are made based upon the observed data. Topics include: basic ratios, industry timing, supply chain issues, profitability, risk, and consumer issues.

Silver Nanoparticles In Ammonia Sensing And Photovoltaics, Madhuka Liyanage

All Dissertations

Nanocomposite films (NCF) containing silver nanoparticles (AgNPs), separated by thin layers of silica/poly-4-vinylpyridine/polyvinylpyrrolidone, were fabricated via drop casting, spin coating, dip coating on glass substrate and drop casting on nylon filter membranes. The more uniform films were produced by drop casting on nylon filter membranes due to their solvent wicking properties. The films demonstrate electrical conductivity that varies in response to moist ammonia and water vapors. The changes in conductivity are attributed to hydrogen bonding between ammonia and water molecules with the silica/polymer layers, as well as the direct adsorption of ammonia onto the silver surface. Notably, NCFs with polyvinylpyrrolidone …

Growth, Cladding, And Characterization Of Single Crystal Optical Fiber: The Next Evolution In Directed Energy Systems, Allen Benton

All Dissertations

High-power fiber lasers are steadily increasing in maximum power and rapidly approaching theoretical maximum power output from a single fiber aperture. The low thermal conductivity of silica fibers is an inherent limitation to the dissipation of heat from the fiber core, and the buildup of heat within the laser gain media is the principal driver of transverse mode instability within fiber systems. This limitation necessitates the exploration of alternate fiber host materials. Due to their high thermal conductivity, excellent transmission range, ability to host most of the optically active rare earth ions, and success as bulk laser materials, single-crystalline YAG …

Qualitative And Quantitative Analysis Of New Psychoactive Substances And Related Metabolites Using Liquid Chromatography-Ion Mobility-Mass Spectrometry (Lc-Im-Ms), Ralph Aderorho

All Dissertations

The increasing prevalence of novel psychoactive substances (NPS) in illicit drug markets has posed significant challenges for forensic and clinical toxicology, primarily due to the structural similarity and diversity among these compounds. This dissertation investigates the application of advanced liquid chromatography-ion mobility-mass spectrometry (LC-IM-MS/MS) techniques, using the high-resolution Structures for Lossless Ion Manipulations (SLIM) platform and the drift tube ion mobility spectrometry (DT-IMS), for the qualitative and quantitative analysis of various types of synthetic opioids, synthetic cannabinoids, psychedelics and xylazine. By combining IMS separations with mass spectrometry and targeted chemical derivatization, this work enhances the ability to distinguish and characterize …

Development Of Rolipram Loaded Pgp Nanoparticles For Spinal Cord Injury Repair, Zhen Liao

All Dissertations

Spinal cord injury (SCI) leads to devastating neurological deficits due to primary mechanical damage and secondary injury mechanisms, including inflammation, oxidative stress, excitotoxicity, and inhibitory scarring, which collectively impede neural regeneration. One key aspect of SCI pathology is a significant reduction in cyclic adenosine monophosphate (cAMP) levels, primarily due to increased phosphodiesterase (PDE 4) activity. As a ubiquitous second messenger, cAMP regulates key signaling pathways, including protein kinase A (PKA) / cAMP response element-binding protein (CREB) and exchange protein activated by cAMP 2 (EPAC2). Therefore, restoring/increasing cAMP level is one of the major therapeutic strategies to reduce neurotrauma and restore …

The Evolution Of Nanoparticles In Nanoparticle Doped Optical Fibers, Mary Cahoon

All Dissertations

Optical fiber and fiber laser technologies based on silica glass are critical to many technologies today. One method to improve the optical performance of laser fibers is engineer the local environment around the active elements in the glass. To that end, this Dissertation focused on the fabrication and characterization of fibers made with nanoparticles incorporated into the glass to control the local composition. First, the nanoparticle composition and structure was analyzed as it evolved from from the initially-synthesized form to incorporation into the dense aluminum-silicate glass. The aluminum oxide in the glass was found to be important not only to …