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Balancing Profit And Principle: How Firms Navigate The Rise Of Authoritarianism, Spencer Fraseur

Business Administration Dissertations - Archive

The purpose of my dissertation is to contribute to the growing discussion on the intersection of totalitarianism and business practices, highlighting the need for leaders to navigate the seismic shifts in global commerce and make ethical decisions in an increasingly complex landscape. Specifically, it examines the decline of the Rules-Based International Order (RBIO) and Liberal International Order (LIO) as well as the rise of totalitarianism across the globe, and the challenges these trends pose for businesses and managers. The first study constructs a comprehensive framework delineating the diverse responses of businesses to authoritarian regimes, ranging from resistance to accommodation. This …

Direct Partial Oxidation Of Methane To Methanol Using Dioxygen Over Superhydrophobic Modified Catalysts, Oluchukwu V. Igboenyesi

Chemistry & Biochemistry Dissertations - Archive

Various methods for enhancing catalysts activity and productivity in gas to liquid synthesis like Direct Methane to Methanol Conversion and Fischer Tropsch Synthesis have been studied over the years. Some of these methods include the use of promoters, bifunctional catalysts, introducing steam, optimizing reaction conditions and catalyst modification. The choice of catalysts and their modification plays a critical role in improving the overall productivity in gas to liquid synthesis.

This research explored the superhydrophobic modification of heterogenous catalysts used in Direct Methane to Methanol Conversion (DMTM) and Fischer Tropsch Synthesis (FTS). The catalysts were modified with Perfluoro alkyls (PFSMA). The …

Copper-Based Oxide Semiconductors: Transparent Conductors And Ternary Alloys, Abhishek Rawat

Chemistry & Biochemistry Dissertations - Archive

This dissertation explores the strategic design and development of copper-based metal oxide semiconductors for photoelectrochemical (PEC) and optoelectronic applications, with a focus on advancing materials for sustainable energy technologies. Through a comprehensive investigation into copper vanadates and copper oxides, the work aims to understand and enhance charge transport, light-harvesting capabilities, and electronic structure modulation. The research integrates fundamental materials chemistry with applied photoelectrochemical studies to uncover the role of copper's d-electrons in mid-gap state formation, multifunctionality through electronic structure tuning, and the development of low-temperature transparent conductive oxides.

In chapter 2, we have discussed the attributes of copper metavanadate (CuV …

The Impact Of Inter-Subunit Communication On F420h2:Nadp+ Oxidioreductase: A Kinetic Approach, Jamariya A. Howard

Chemistry & Biochemistry Dissertations - Archive

F₄₂₀H₂:NADP⁺ Oxidoreductase (Fno) catalyzes the reversible reduction of NADP⁺ to NADPH using reduced F₄₂₀ as the hydride donor. Both NADPH and the F₄₂₀ cofactor play significant roles in various metabolic pathways, including glycolysis and methanogenesis, particularly in methanogenic and sulfate-reducing archaea. These organisms play an essential role in global carbon cycling by converting carbon dioxide to methane through the methanogenic pathway, which is directly tied to energy production. This thesis investigates the hydride transfer mechanism of Fno from the extreme thermophile Archaeoglobus fulgidus, using fluorescence binding, steady-state and pre steady-state kinetics.

Chapter 1 outlines the structural and spectral characteristics …

Resveratrol Exerts Anti-Inflammatory Effects On Human Thp-1 Macrophages, Valeria B. Martinez

Chemistry & Biochemistry Theses - Archive

Inflammation is a natural biological response to harmful stimuli. It initiates a series of reactions that prompt defensive and curative mechanisms, ridding the body of offending agents and healing remaining injuries. Inflammation involves the intricate communication between cells, requiring complex signaling that mediates various pathways. This acute form of inflammation is vital for our survival, promoting a myriad of mechanisms that function to defend and heal. However, if this inflammatory response is not resolved, it results in a prolonged condition referred to as chronic inflammation. This persistent inflammatory state is incredibly harmful, damaging the host's healthy cells, tissues, and organs. …

Statistical Analysis Of Climate Trends And Variability In Tarrant County Using Annual, Decade, And Three-Decade Time Periods, Quinnton Debolt

Earth & Environmental Sciences Theses - Archive

This study is a statistical analysis of climate trends within the Dallas-Fort Worth metroplex according to several time-scale models to understand how the climate for the locality has changed and to provide a basis for projections of what future climate might look like. Trends in mean temperature and precipitation for North Central Texas generally correlate with corresponding global trends linked to natural variability and anthropogenic-induced climate change. Temperature rises in this region annually by 0.08°C and by 0.22°C for a three-decade average. Seasonal increases in three-decadal averages of temperature for North Central Texas relative to the average of the reference …

Spatiotemporal Analysis Of Extreme Precipitation Events In Texas, Anusha Kandi Ravi

Earth & Environmental Sciences Theses - Archive

Extreme precipitation events (EPEs) are among the most critical weather hazards in Texas, frequently leading to floods, infrastructure damage, and costly economic losses. Therefore, analyzing the spatiotemporal patterns of EPEs is vital, particularly for improving regional climate predictions and hazard preparedness. Although the propagation of EPEs has been previously investigated using complex network theory, the evolution of their climate network has not yet studied. For this purpose, we first collected precipitation data from the NOAA AORC dataset for the 1980-1989, 1990-1999, 2000-2009, 2010-2019, and 2020-2024 periods. The EPEs were identified based on the 95th percentile of wet-day precipitation (≥ 1 …

Photonic Crystal Devices For Chip Scale Sensing Systems, Yudong Chen

Electrical Engineering Dissertations - Archive

This thesis investigates the design and integration of photonic crystal (PC) structures for compact, high-performance optical platforms, with a focus on applications in gas sensing, on-chip lasers, and flat optics. Chapter 1 introduces the fundamental principles of PC design and simulation, highlighting their potential to replace bulky components in micro-gas chromatography (µGC) systems through miniaturization and integration. Chapter 2 explores PC-based nanobeam lasers, including the Lambda-Scale Embedded Active-Region Photonic Crystal (LEAP) laser, which demonstrates strong optical confinement and energy-efficient operation, with energy consumption as low as 8 fJ/bit. These laser designs are evaluated for their suitability in low-power, high-speed on-chip …

Temperature-Tuned Multi-Segment Hybrid Hnlf For Enhanced Sbs Suppression And Broadband Parametric Amplification, Hamed Rabbani

Electrical Engineering Theses - Archive

Stimulated Brillouin scattering (SBS) presents a fundamental challenge in the practical use of highly nonlinear fibers (HNLFs) for optical parametric amplifiers (OPAs), especially in systems requiring broad bandwidth and high spectral purity. Traditional SBS suppression techniques, such as pump phase dithering, can mitigate this nonlinear effect but often compromise the phase quality of the idler wave, making them unsuitable for coherent or phase-sensitive applications. This thesis introduces an alternative approach that suppresses SBS while preserving critical dispersion characteristics of the fiber by combining both structural and thermal optimization strategies.

The proposed method involves constructing a five-segment, 250-meter hybrid HNLF composed …

Advancing Machine Learning Approaches Through Robust Methodologies In Llm Code Generation, Adversarial Text Classification, And Unsupervised Learning, Anahita Samadi

Computer Science and Engineering Dissertations - Archive

This dissertation combines insights across text, code, and image modalities to advance the robustness, efficiency, and adaptability of machine learning models. Specifically, we address challenges like adversarial vulnerability in text, the impact of test strategies on code generation, and dimensionality in image representation in unsupervised learning domain. These efforts highlight pipelines for designing machine learning systems that are not only efficient, but also adaptable to complex environments. In addition, these efforts together help form the basis for a multimodal AI capable of thriving in medical applications that this dissertation prototypes for future efforts.

Optimizing Architecture And Software For Next-Generation Memory Systems, Lingfeng Xiang

Computer Science and Engineering Dissertations - Archive

The rapid advancement of memory technologies presents new challenges and opportunities for system software and architectural design. This dissertation investigates how to optimize modern computing systems for next-generation memory, mostly focusing on persistent memory and Compute Express Link (CXL)-based memory. First, we conduct a detailed characterization of Intel Optane DC Persistent Memory, identifying the distinct behaviors of its on-DIMM read and write buffers and analyzing their impact on application performance. These insights motivate optimizations that decouple read and write paths, revealing that random read latency—especially in pointer-chasing workloads—is a dominant performance bottleneck. Second, we present NOMAD, a page management framework …

Medical Ai: Solving Healthcare Challenges And Inspiring Ai Innovation, Xiaowei Yu

Computer Science and Engineering Dissertations - Archive

Artificial Intelligence (AI) is transforming healthcare by enabling large-scale analysis of medical data and integrating multimodal information for more comprehensive diagnostics. I present my work addressing fundamental and challenging problems in developing state-of-the-art AI models for medical data analysis, including multimodal brain data and other medical datasets. Additionally, I design brain-inspired AI models by integrating insights from organizational principles of brain networks. Specifically, my research tackles three critical aspects: (1) AI in Computational Neuroscience, where I design deep learning models for brain network analysis to uncover the organizational principles of brain networks; (2) Brain-Inspired AI, where I integrate superior brain …

3d Perception, Mapping, And Navigation For Mobile Cobot, Tuan T. Dang

Computer Science and Engineering Dissertations - Archive

Service robots are migrating from tightly controlled factory lines into offices, hospitals, and homes, where they must perceive, remember, and act amid people, clutter, and perpetual change. Humans solve this daily by forming compact, task-relevant “cognitive maps”: we sample just enough sensory detail to guide the moment, stitch those snapshots into a sparse topological scaffold, and continuously refine it as we move. Guided by that insight, this dissertation proposes a biologically inspired mapping framework that turns partial RGB-D observations into a hybrid temporal-spatial memory—locally metric for centimeter-scale navigation yet globally topological for room-to-building navigation. The system first distills raw depth …

Breaking Granularity Barriers: Overcoming I/O Abstraction Limitations For High-Performance Storage Systems, Chen Zhong

Computer Science and Engineering Dissertations - Archive

Modern storage hierarchies exhibit performance differences spanning eight orders of magnitude. Each tier in the hierarchy presents fundamentally different optimal access sizes and patterns. Most systems read and write data in fixed-size units across different tiers, typically power-of-2 sizes. It simplifies data management but also suffers from large write amplification when handling small accesses in many real-world workloads. This fundamental disconnect between fixed-size I/O design assumption and real-world usage patterns represents the core challenge.

The storage community has recognized the limitations of fixed-size I/O abstractions and is exploring alternatives, like the new emerging NVMe-KV interface and object-based storage, which aim …

Environment And Intention Awareness For Navigation And Collaboration, Bhaskar Chandra Trivedi

Computer Science and Engineering Dissertations - Archive

Unmanned Aerial Systems (UAS) have become increasingly popular as versatile platforms for tasks such as surveillance, inspection, delivery, and maintenance. In many applications, UAS operate in environments frequented by people or containing sensitive infrastructure, which introduces physical risks in case of vehicle failure, as well as psychological and privacy concerns that may limit their acceptability. Ensuring safe and efficient operation thus requires that UAS consider these risks when planning navigation strategies. While prior information, such as city maps and building layouts, can partially inform risk assessment, such data is often incomplete, necessitating real-time augmentation of risk maps using sensor information. …

Scalable, Secure, And Adaptable Perception Systems Through Adversarial Analysis And Federated Fine-Tuning, Arkajyoti Mitra

Computer Science and Engineering Dissertations - Archive

Perception systems are fundamental to intelligent machines, enabling them to sense, understand, and interpret complex environments. However, as perception increasingly underpins critical applications such as autonomous vehicles, IoT healthcare devices, and smart trading platforms, challenges related to security, scalability, and environmental understanding have become more pressing. This work addresses three core research questions: (1) How can we identify, analyze, and mitigate adversarial vulnerabilities in perception systems to ensure reliable operation under adversarial conditions? (2.1) How can AVPS models be efficiently scaled and fine-tuned across decentralized and resource-constrained environments while preserving privacy and performance? (2.2) How can we scale generative models …

Complexity Machines: New Histories Of North American Automobile Production, 1900-1950s, Kevin A. Moskowitz

History Dissertations - Archive

This dissertation examines the design and manufacture of the mass-produced automobile in North America from its inception at the start of the twentieth century through the height of production in the late 1950s. This network of producers constituted the single largest industry in North America. The success of this market required producing a product that was desirable to consumers in design, affordable to purchase, and could be built in high enough quantities to justify the realignment of the rest of North American society to serve this new method of transportation. This dissertation is a shift away from demand studies concerned …

Coping Strategies As Predictors Of Acculturative Stress Among International College Students, Naba Khan

2025 Fall Honors Capstones Projects - Archive

This study examined how coping strategies influence acculturative stress among international and multicultural college students. A quantitative correlational design was used with 36 participants recruited through convenience sampling at the University of Texas at Arlington. Participants completed four standardized Likert-type scales measuring acculturative stress, general coping, and academic coping. Correlational analyses showed that age was negatively related to acculturative stress and positively related to coping. A mediation analysis using PROCESS Model 4 indicated that coping partially mediated the relationship between age and acculturative stress, accounting for 39% of the variance, R²=.39, F(2, 33) = 10.60, p < .001. Age significantly predicted coping (β=.06, p=.015), while coping marginally predicted acculturative stress (β= -.26, p = .068). Findings suggest that coping strategies play a modest but protective role in reducing acculturative stress, with older participants reporting slightly greater coping and lower stress.

Reversal And Visualization Of Guitar Stomp Box Effects Using Digital Signal Processing Techniques, Zayaan Sharif Chowdhury

2025 Fall Honors Capstones Projects - Archive

This project presents an approach that develops a Digital Signal Processing (DSP) system that analyzes, and reverses audio effects produced by a custom-built multi-effect guitar stomp box. Using real-time input from the stomp box, the DSP system digitizes the audio signal through an analog-to-digital converter and processes it in Python using NumPy and SciPy libraries. It visualizes parameters such as frequency spectrum, modulation rate, depth, and total harmonic distortion (THD) to evaluate the quality of analog effects like tremolo, delay, vibrato, and reverb. Beyond visualization, the system explores reversing these effects through digital filtering and signal reconstruction, aiming to approximate …

The Alienated Self: A Solo Exhibtion, Kade Winterton

2025 Fall Honors Capstones Projects - Archive

Exhibiting works is an essential step for every artist; this capstone is a creative research project that explores feelings of alienation and otherness, as well as the multiple causes they stem from, resulting in a body of work ready for exhibition. First, research was conducted on exhibiting and curating works. Next, works by contemporary artists who also explored the same topic were examined. Completed works were curated, and an inventory of what was needed to create an exhibition-ready body of work was defined. After this was done, new works were uniquely created, each starting with an idea and a sketch. …

The Influence Of Social Support On The Stress Levels Of Pre-Nursing Students, Michelle Chinwendu Nicole Izuwah

2025 Fall Honors Capstones Projects - Archive

Introduction/Background: The nursing shortage in the United States continues to pose a significant challenge due to the widening gap between the supply of and demand for qualified nurses. The COVID-19 pandemic demonstrated the importance and vitality of nurses to society. Thus, it is important to support students throughout their nursing journey, even from the earliest stages. Pre-nursing students are college students who have not yet begun taking upper-division classes and are enrolled in nursing programs, and face a unique set of struggles due to the pressure of prerequisite classes, as well as fears of not being accepted into the nursing …

Impact Of Glufosinate On Soil Microbial Community Dynamics, Sarobi Das

Biology Dissertations - Archive

The increasing global regulations of glyphosate due to its possible carcinogenicity and environmental hazards have necessitated the search for alternative herbicides. Glufosinate-ammonium offers a sustainable attribute due to its low toxicity and limited reported herbicide resistance cases. Despite its increasing agricultural importance, very limited studies are done on its environmental impact, especially on the soil systems. This thesis examines the ecological behavior of glufosinate in soil, precisely focusing on its effect on the dynamics of soil microbiome and the potential use of Bradyrhizobium japonicum USDA110 for bioremediation by reversing the effect of microbial dysbiosis. A series of 30-day mesocosm studies …

How Individual Traits Predict Distribution Patterns And Community Convergence, Zachary K. Lange

Biology Dissertations - Archive

One of the fundamental questions in biology is whether natural conditions lead species and communities toward predictable outcomes. Answering this question requires understanding how traits of individual organisms are connected to species- and community-level patterns. In Chapter 2, I examined how thermal physiology and environmental temperatures interact to determine the distribution patterns of Anolis lizards on the Greater Antilles. I combined lab-measured thermal traits (critical thermal minimum: CT_min, critical thermal maximum: CT_max, thermal preference: T_pref) with occurrence and abundance data from 21 species of Anolis lizards collected from extensive mark-resight surveys of communities across …

Parsimony, Parallelism, And Presentation: The Impact Of Presentation On Evaluation, Peter Mclemore

Psychology Theses - Archive

In professional and academic settings, support for creative ideas often hinges on how effectively those ideas are communicated in writing. This study examined how two sentence-level rhetorical features—parsimony and parallelism—influence the evaluation, support, and recall of written proposals featuring creative restaurant concepts. Using a 2×2 within-subjects design, 211 undergraduates reviewed proposals manipulated to vary in parsimony (high vs. low) and parallelism (high vs. low). Participants rated each proposal on quality, originality, elegance, support, and completed a recall task. Contrary to expectations, proposals with low parsimony and low parallelism received the highest evaluations across all three creative indicators (i.e., quality, originality, …

Developing The Rural Older Adult Dementia Prevention-Health Behaviors (Road-Hb) Questionnaire: A Mixed Methods Approach To Instrument Development, Jessica Cassidy

Social Work Dissertations - Archive

Older adults living in rural communities are at heightened risk of dementia; however, preventative strategies can reduce these risks. To facilitate dementia prevention efforts in rural communities, this methodological study developed the Rural Older Adults Dementia prevention–Health Behaviors questionnaire (ROAD-HB) by applying a lifespan approach to the Health Belief Model (HBM). The questionnaire contained three embedded instruments and was constructed following a stage development design involving item pool processes with community and expert review panels. Convergent mixed methods were used to assess the ROAD-HB’s validity, including a pretest in 36 older adults from two rural Northeast Texas counties and cognitive …

Understanding The Sociodemographic Correlates Of Early Social Security Retirement, Erica D. Robinson

Social Work Dissertations - Archive

Using data from the Health and Retirement Study (HRS), a nationally representative sample of Americans aged 50 and older, this study employed logistic regression analysis guided by intersectionality theory and the Intersectionality-Based Policy Analysis (IBPA) framework to examine the influence of marital status, ever having children, educational attainment, self-reported health, and race/ethnicity on receiving Social Security retirement benefits early (before reaching the Social Security Administration’s full retirement age (FRA)) among women. Individuals’ monthly and total lifetime Social Security retirement amounts, as well as longevity, are influenced by when they begin receiving Social Security retirement payments. Findings revealed that reporting excellent/ …

Burnout Among Nurses In The United States, Faheem Ohri

Social Work Dissertations - Archive

Burnout is an exhausted state of the body, mind, and emotions, characterized by feelings of “depersonalization and reduced personal accomplishment” resulting from prolonged and continuous occupational stress. Burnout among nurses in the United States (U.S.) is a growing concern with significant implications for healthcare professionals and patient outcomes. Nurse burnout compromises patient safety and workforce stability, but pre-pandemic national correlates remain understudied. This dissertation examined employment settings and demographic correlates of burnout among U.S. nurses using the National Sample Survey of Registered Nurses (NSSRN) secondary datasets. Compared inpatient burnout odds pre-/post-pandemic using national twin surveys. Jackknife complex survey logistic regression …

Enhancing Professional Development For Third Space Roles: Reflections On The Added Value Of Learning Circles, Linde Moriau, Réka Matolay, Emma Mckenna, Andrea Toarniczky, Judit Gáspár, Márta Frigyik, Catherine Bates

Articles

This paper explores how Learning Circles can support higher education staff in navigating the complexities of contemporary educational landscapes with greater confidence, creativity, and efficacy. It presents qualitative research rooted in the three-year Erasmus+ project CIRCLET, involving five European universities. Learning Circles were implemented as a core component of professional development programmes, aiming to foster quality integration of Community Engaged Research and Learning (CERL) in academic practice. Drawing on a collaborative autoethnographic research design, we reflected on our experiences as Learning Circle designers, facilitators, and participants to identify manifestations of professional growth emanating from our project activities. We build on …

Excitation And Polarization Of Isolated Neurons By High-Frequency Sine Waves For Temporal Interference Stimulation, Iurii Semenov, Vitalii Kim, Giedre Silkuniene, Andrei G. Pakhomov

Bioelectrics Publications

The capacity of temporal interference (TI) stimulation to target deep brain regions without affecting nearby surface electrodes remains uncertain. Using artifact-free optical recording, we compare excitation patterns and thresholds in hippocampal neurons stimulated by “pure” and amplitude-modulated sine waves, representing TI waveforms near electrodes and at the target, respectively. We show that pure 2- and 20-kHz sine waves induce repetitive firing at rates that increase up to 60–90 Hz with stronger electric fields. Beyond this limit, action potentials merge into sustained depolarization, resulting in an excitation block. Modulating the sine waves at 20 Hz aligns firing with amplitude “beats” and …

Graphene-Polymer Nanocomposite For Electromagnetic Interference Shielding, Ravi Venkata Surya Sai Mogilisetti

Mechanical and Aerospace Engineering Theses - Archive

Polymers have widespread usage in most industries, such as aerospace, automotive, telecommunications, and medicine, mainly because they have a positive lightweight nature and excellent mechanical properties. One significant advantage of polymeric materials is their ability to combine nano-fillers, greatly enhancing their mechanical, electrical, and thermal properties. In the category of polymer matrices, polypropylene (PP) is notable for its low cost, ease of processing, and balanced mechanical properties. However, its relatively lower modulus and strength limit their applications in high-performance engineering. This research explores the addition of graphene into polypropylene to improve its mechanical properties and establish a conductive network for …