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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 …

Robust And Efficient Solvers For Physics-Based Pde’S, Elizabeth Hawkins

All Dissertations

This work was partially supported by the U.S. Department of Energy under award DE- SC0025292, by NSF grant DMS 2152623, and by NSF grant DMS 2011490.

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Mathematical Multifaceted Integrated Capability Centers (MMICCs) program, under Field Work Proposal 22-025291 (Multifaceted Math- ematics for Predictive Digital Twins (M2dt)), Field Work Proposal 23-020467, and Computing and Information Sciences (CIS) investment area in the Laboratory Directed Research and Development program at Sandia National Laboratories. This written work is authored by an employee …

Development Of Translational Microscale Systems To Interrogate How Biophysical And Biochemical Cues Alter The Phenotype Of Hormone Positive Breast Cancer, Braulio Ortega Quesada

All Dissertations

Cancer is a complicated disease and one in every three diagnoses are women with breast cancer. Recent research shows that the progression of cancer depends strongly on interactions with other non-cancerous cells and non-cellular components. Metastasis, the spread of cancer to other parts of the body, is a key step in cancer progression and makes treatment harder, leading to poor response to treatments culminating in death in ~90% of patients. This dissertation focused on creating a series of microdevices as novel pre-clinical models of breast cancer. Two different devices were fabricated to (1) study how exposing cancer cells to the …

Understanding How To Cultivate Culturally Relevant Dispositions Among District Science Coordinators And Science Teachers, Meredith L. Schwendemann

All Dissertations

At the center of the discussions about equity in science education is the importance of defining and articulating what is meant by equity, diversity, and social justice. Despite recent efforts to improve equity in science education, inequities in science education persist. District science coordinators, science teachers, and science teacher educators are key players in the movement toward more equitable science learning and instruction. The purpose of this three manuscript dissertation was to explore the ways in which science teacher educators are working to promote culturally relevant dispositions within science teachers (Paper 1/Chapter 2), examine how district science coordinators are approaching …

The Effect Of Storyline Units On The Self-Efficacy And Science Identity Of High School Multilingual Learners, Kristin Ambrose

All Dissertations

Science can be a complex subject for multilingual learners (MLLs) because it requires investigating science concepts through modeling and analysis in addition to reading and writing skills. This complexity often leaves teachers unsure of how to support the MLLs, leading to MLLs missing out on grade-appropriate content and science experiences. Storyline instruction uses 3D instruction to teach science content necessary to explain a real-world anchoring phenomenon. Storyline instruction grounds learning in real-world contexts through anchoring phenomena and provides coherence for students throughout the lessons. This mixed methods study aimed to discover the impact of storyline units on the self-efficacy (SE) …

Decision Space Decomposition For Multiobjective Programs, Emma Soriano

All Dissertations

Being inspired by the parametric decomposition theorem for multiobjective optimization problems (MOPs) of Cuenca and Miguel (2017), and by the block- coordinate descent for single objective optimization problems, we present a decom- position theorem for computing the set of minimal elements of a partially ordered set. This set is decomposed into subsets whose minimal elements are used to retrieve the overall minimal elements. We apply this approach to strictly convex MOPs de- composing their decision space into lines. The line decomposition benefits from the fact that a multiobjective line search problem is equivalent to solving a collection of single objective …

Learning Through Online Participation: From Breakout Rooms To Discord, Makayla Moster

All Dissertations

For software development teams, teamwork is an essential part of their day-to-day lives. However, due to the aftermath of the COVID-19 pandemic, more companies have allowed employees to have more hybrid and remote work options than before. As more companies are adopting hybrid and remote workstyles, we need to ensure that we are preparing the next batch of young software developers to conduct teamwork in remote and hybrid settings. In this dissertation, I address the tools students use for teamwork and how to improve their teamwork inside and outside of the classroom. I present my research on improving student experiences …

Adaptive Delay Compensation Frameworks For Distributed Real-Time Co-Simulation In Power Systems, Elutunji Buraimoh

All Dissertations

This dissertation presents a model-free, adaptive delay prediction and compensation framework for geographically distributed real-time power system co-simulation environments. Communication delays—both constant and real-time-varying—significantly degrade the accuracy, fidelity, and stability of co-simulated systems, particularly in dynamic and transient analyses of partitioned power systems. To address this, a predictor-based framework is developed that compensates for delays without requiring system models, computationally intensive signal transformations, or manual intervention.

The proposed solution leverages a Damping Impedance Method as the interface algorithm, combined with a sliding-mode control-inspired predictor system. Both single-parameter and multi-parameter predictor configurations are implemented, with the multi-parameter design providing an additional …

Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development, Latoya Mcdonald

All Dissertations

Electronic health records (EHRs) are pivotal resources for nurse practice because they increase the timeliness and reliability of patient information at the point of care and support access by multiple healthcare providers and the individual patients themselves. However, it is widely recognized that data extraction from EHRs is challenging due to the variability in the language used in clinical care notes and the lack of standardized terminology across healthcare systems. The broad objective of this dissertation is to develop taxonomy-based classification models for nursing care by applying feature engineering approaches to EHRs that include nursing care of ostomy patients following …

Ex Vivo Multiplex Knockdown Of Angptl3 And Cypor In Hepatocytes As A Novel Cell Therapy For Familial Hypercholesterolemia, Callie D. Clark

All Dissertations

Inherited metabolic diseases (IMDs) affect approximately 1 in 800 individuals. The only curative treatment for IMDs is liver transplantation. However, transplantation carries significant risks, including organ rejection and a lifelong need for immunosuppression. Therefore, gene editing has emerged as a promising alternative to liver transplantation for treating IMDs.

Familial hypercholesterolemia (FH) is and IMD characterized by elevated LDL-C levels resulting in premature cardiovascular disease. CRISPR-Cas9-mediated gene editing to disrupt the gene encoding angiopoietin-like 3 (ANGPTL3) in the liver represents a novel therapeutic approach for FH. Nonviral delivery performed ex vivo is safer than systemic delivery because gene editing is in …

The Math Doesn't Add Up: Gender Inequity In Service Responsibilities In Research-Intensive Mathematics Departments, Sarah Otterbeck

All Dissertations

Academic service responsibilities (e.g., committee work, mentoring), in the most informal definition, are those tasks faculty perform that are neither research nor teaching. However, the simplicity of this definition undercuts not only the tremendous impact service can have on faculty efforts but also the well-documented, disproportionately high service burden carried by faculty with marginalized identities. This study, grounded in the existence of gender inequities in service responsibilities, comprises three interconnected papers that collectively address the overarching research question: How do math faculty at research-intensive institutions perceive, describe, and navigate gender inequities in service responsibilities? Utilizing the framing of Intersectional Feminism …

A System And Method For Measuring Spatially Varying Surface Appearances With A Study Of Feathers, Jessica Baron-Lis

All Dissertations

Real-world materials, particularly biological structures such as feathers exhibit complex appearances that vary spatially across their surfaces. The field of computer graphics provides a means of understanding such surfaces through material modeling which uses both analytical models and data acquired from light-surface interactions. There are many efforts within the past decade in measuring materials for graphics, but common limitations in these works include not accounting for spatially varying properties and reliance on neural networks and synthetic datasets.

Feathers from modern birds present diverse appearances due to how light interacts with their unique hierarchical microstructures. Variations in those structures lead to …

The Administrators’ Role In Teacher Retention And Their Role On Teachers’ Perceptions Of School Climate At An Exemplar Title I School: A Qualitative Study, Stephen W. Brown Iii

All Dissertations

This study looks at how principals affect teacher perception of school climate and teacher retention at Title I schools. While teacher retention and school climate have historically been issues at Title I schools, the issue has been exacerbated by the COVID-19 pandemic. This qualitative study explored an elementary school in South Carolina through the lens of Critical Systems Theory. According to publicly available data, this school was an anomaly among Title I schools regarding the climate and teacher retention, with both measures being extremely high. To explore these phenomena, semi-structured interviews were conducted with both the teachers and administrators at …

A Systemic Approach To Maximize Heterogeneous System Performance, Thomas L. Randall

All Dissertations

Continuous increases in high performance computing (HPC) throughput have served as catalysts for industry and scientific advancement in countless manners that have fundamentally shaped our modern world. Our demands on compute resources continue to scale, but the limitations of Ahmdal’s law and Dennard scaling have proven increasingly difficult to overcome when approached solely through hardware or software design. Furthermore, many HPC applications fail to utilize the collective system’s performance, even on the most advanced supercomputers.

However, the resurgence of AI in the industry has promoted an explosion of hardware and software codesign that have fueled massive improvements in GPU design …

Domain Decomposition For Coupled Systems Of Fluid-Structure Interaction And Numerical Modeling For Thin Film Polymers, Amy De Castro

All Dissertations

We consider two primary areas of physical application in this work: fluid interaction systems with either linear elastic structures or with poroelastic structures, and thin film polymers, where the majority of the work focuses on the fluid-structure interaction systems.

In the first chapter, we present a strongly coupled partitioned method for fluid structure interaction (FSI) problems based on a monolithic formulation of the system which employs a Lagrange multiplier (LM). We prove that both the semi-discrete and fully discrete formulations are well-posed. To derive the partitioned scheme, a Schur complement equation, which implicitly expresses the Lagrange multiplier and the fluid …

Investigate The Use Of Nucleic Acids As Pesticides To Manage Major Pests And Pathogens Of Crops In South Carolina, Prasanna Valavanur Shekar

All Dissertations

The sugarcane aphid (SCA, Melanaphis sorghi), first discovered on grain sorghum in late 2013, has gradually become a major insect pest of sorghum. It inflicts significant damage to the crop year after year, causing millions of dollars in losses throughout the sorghum-producing regions of the United States. Similarly, Armillaria root rot—also referred to as oak root rot—is a major cause of decline in peach (Prunus persica) production in the southeastern United States. This disease is caused by Armillaria mellea and Armillaria tabescens. Current management practices for controlling M. sorghi include the use of synthetic pesticides, resistant varieties, and regular scouting. …

Enhancing Photovoltaic Inverter Reliability Through Advanced Hardware Protection And Simulation Techniques, Buck Brown

All Dissertations

Power electronics converter reliability is an issue in today’s grid, and it is an issue that will only become more prevalent as the nation and world move toward greater renewable energy penetration. While a significant amount of research has been conducted pertaining to power electronics converter reliability, (1) there lacks a universal way to protect the most critical component in a power electronics converter—the power device—from the two most common failure modes—short- and open-circuit faults; and (2) there does not exist a tool that considers both the component- and system-levels of a photovoltaic (PV) inverter for the purposes of lifetime …

Design And Characterization Of Lignin-Based, Thermoresponsive Soft Composites With Improved Mechanical And Transport Properties, Missoury D. Wolff

All Dissertations

In an attempt to reduce reliance on petroleum-based polymers, lignin – an abundant biopolymer – has gained popularity as a sustainable alternative. However, research on lignin-containing soft composites – i.e., hydrogel (bio)composites – has largely been heuristic, providing limited insight into the fundamental structure-processing-property relationships that govern performance improvements in this emerging class of ‘green’ soft composites. As such, this dissertation presents a systematic investigation of how lignin molecular weight (MW), composite composition, and the concentrations of crosslinker and accelerator impact the mechanical and transport characteristics of soft composites composed of lignin, poly(N-isopropylacrylamide) (PNIPAm), and poly(vinyl alcohol) (PVA).

In the …

Understanding Conversion Of Long Chain Fatty Acids In Anaerobic Digestion Systems, Julia Ann Funk

All Dissertations

Anaerobic co-digestion with fats, oils, and grease (FOG) waste can increase energy production due to the high methane potential of lipids. However, adding FOG can lead to operational issues caused by accumulating saturated long-chain fatty acids (LCFA). My research explored why saturated LCFAs are often the primary intermediate that accumulates and the microbial sensitives of the populations responsible for their degradation. In each batch or semi-continuous experiment, all intermediates of FOG degradation, including LCFAs, volatile fatty acids (VFAs), Hydrogen gas (H₂), and endpoint methane production, were paired with temporal quantitative polymerase chain reaction (qPCR) of the Syntrophomonas genus …

Enhancing Safety In Healthcare Construction: A Comprehensive Training Program On Managing Construction Dust, Melissa Nalath

Capstone Experience: Master of Public Health

In healthcare settings, construction activity poses significant risks due to the formation and release of construction dust containing allergens, pathogens, and toxic substances. This culminating project will develop a comprehensive training course for contractors to mitigate these risks while ensuring the safety of patients, employees, and construction workers. The training programs will raise awareness of the health risks associated with construction dust and educate contractors on proper dust handling techniques and ensure compliance with relevant regulations. Key elements such as containment, ventilation, and proper personal protective equipment (PPE) use will be emphasized. The program will also underscore the potential for …

A Landscape Analysis Of Rapid Evidence Curation During The 2022 Sudan Virus Disease Outbreak In Uganda, Jemimah J. Wachap

Capstone Experience: Master of Public Health

Uganda's 2022 Sudan Virus Disease (SVD) outbreak emphasized the need for rapid and effective evidence curation in public health emergencies. This analysis examines evidence curation practices during the SVD response, identifying challenges and assessing the timeliness and effectiveness of strategies in low-resource settings. While global responses to previous outbreaks, like COVID-19, have advanced evidence synthesis, the SVD outbreak revealed infrastructure and data integration gaps. The study aims to map the evidence curation landscape, focusing on models and tools, such as data-sharing platforms, mobile Polymerase Chain Reaction (PCR) labs, and Integrated Management Systems (IMS). It will also address gaps in surveillance, …

Novel Corporate Governance Structures, Jennifer S. Fan, Xuan-Thao Nguyen

Articles

Artificial Intelligence (“AI”) startups have taken center stage, rapidly disrupting conventional industries at an unprecedented pace with their groundbreaking innovations. Hailed by many as the most significant technological advancement of our era, AI’s profound societal impact has garnered heightened public and governmental scrutiny. The spotlight has recently fallen on OpenAI, the creator of ChatGPT, which weathered a tumultuous period marked by the ouster and subsequent rehiring of CEO Sam Altman, a board reconfiguration, and Altman’s later return to the board. Concerns over AI safety were offered as the rationale for the tandem corporate governance structure of nonprofit and for-profit at …