"Pockets Of Existence" The Lighting Design For "Silent Sky", Faith Noel Spencer

Graduate Theses and Dissertations

This thesis will explore how lighting can express wonder, isolation, and discovery through the lens of the play Silent Sky by Lauren Gunderson. Produced at the University of Arkansas in February 2025, my design utilized shifts in color, intensity, and movement to mirror Henrietta Levitt’s pursuit of understanding within both science and society. This design sought to balance the expansiveness of the never ending universe with the intimacy of humanity, using lighting to bridge the vastness with isolation. Challenges in this production included creating a sense of infinite space within the confines of a proscenium theatre, having continuity across multiple …

Turbulent Plenum Jet-Crossflow Validation Via Subgrid Scale Model Variation And Upstream Forcing Under Dynamic Hybrid Rans-Les, Cole W. Mccallum

Mechanical Engineering Undergraduate Honors Theses

In modern gas turbine design, film cooling has become ubiquitous as a method for limiting heat transfer between high temperature gases post-combustion and the surface of downstream blades. This paper validates the use of various computational fluid dynamics techniques in recreating an experiment measuring adiabatic effectiveness over a surface downstream of a compound-angle N2 plenum jet incident on a turbulent-air boundary layer [1]. To do this, both RANS and Dynamic Hybrid RANS-LES (DHRL) methods are implemented and compared to previous research [2]. The latter method is then modified through implementation of a different subgrid scale (SGS) model and through addition …

Pilot Age And Accident Rates In General Aviation: Analysis And Recommendations, Jackson E. Jolley

Mechanical Engineering Undergraduate Honors Theses

General aviation accounts for approximately 94% of all civil aviation accidents in the United States, highlighting the need to examine how pilot characteristics and operational factors influence accident risk. With the Federal Aviation Administration (FAA) projecting continued growth in the general aviation pilot population, this study examines the relationship between pilot age, flight experience, and accident risk to inform training and safety interventions. Using the National Transportation Safety Board (NTSB) accident records from 2008–2024, along with FAA pilot registration data, we analyze age-related trends in accident likelihood, risk, and phase-of-flight distributions in general aviation operations.

Results show an approximately exponential …

Enhancing Control Charting Schemes And Exploring New Assessment Metrics To Advance Quality Control And Cyber-Attack Detection In Manufacturing, Ahmad Al Majali

Dissertations

The increasing integration of digital technologies and industrial control systems in modern manufacturing has introduced new cybersecurity vulnerabilities within cyber–physical production environments. Malicious actors can exploit these vulnerabilities to induce subtle process deviations that degrade product quality while remaining undetected by conventional statistical monitoring tools. Such attacks can be deliberately engineered to manipulate process behavior through transient shifts that vary in magnitude, duration, and frequency. Despite extensive research on transient shifts caused by assignable causes in Statistical Process Control (SPC), limited attention has been given to intelligently designed cyber–physical attacks that exploit the structural characteristics and limitations of control charting …

Detecting Doubt In Reflective Learning: A Learning Analytics Study With Large And Small Language Models, Eng Lieh Ouh, Kar Way Tan, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

Reflective learning enhances understanding, especially when instructors promptly address difficulties raised in student reflections. Automated doubt detection can reduce time for instructors, yet existing classification approaches take substantial time for manual annotation and model training. This paper investigates whether large and small language models (LLMs, SLMs) can automate doubt detection without time-consuming training. Using a dataset of anonymized student reflections, we evaluate zeroshot, few-shot prompting, and multi-step reasoning against prior supervised classification baselines. We show that LLMs (GPT-4o, Claude-4, Gemini-2.5) surpass earlier F1 scores without prompting, while prompting further improves their performance. However, using proprietary LLMs can raise cost and …

May 2026 News You Need, David Foe

The Journal of the Michigan Dental Association

This source provides comprehensive updates on organized dentistry, including the appointment of Dr. Nader A. Nadershahi as the new ADA executive director. It reports on the MDA's current membership market share, which remains high at approximately 70% despite national trends. Significant health topics covered include Mental Health Awareness Month resources like the Well-Being Index and a patient fact sheet linking oral health to systemic conditions like heart disease and diabetes.

Predicting Flight Fares With Machine Learning: Enhancing Aviation Industry Pricing Forecasting, Reem Almulla

Theses

This research investigates the increasing challenge of accurate flight fare prediction for travel agencies that are functioning and working in the post-pandemic aviation market. As the prices fluctuate while demand is unstable and competition pressure increases, therefore it influences decision-making and profitability. In most cases, traditional ticket pricing methods often can be ineffective when capturing complex and non-linear relationships within factors that influence the ticket fare dynamics. As a result, highlighting the urge of more adaptive pricing and data-driven predictive machine learning models. In response to this challenge, the research examines the effectiveness of machine learning techniques for enhancing flight …

A Catalogue Of Orbital Periods Of Cataclysmic Variables And Candidates From Tess Observations, Meryem K. Dag, Simone Scaringi, Kieran O’Brien, Martina Veresvarska, Nikita Rawat, Yusuke Tampo, Santiago Hernández-Díaz, Liliana Rivera Sandoval, Wendy Mendoza, Ryan J. Oelkers, Jan Kára

Physics & Astronomy Faculty Publications

We present a systematic analysis of 2544 cataclysmic variable systems and related candidates observed by the Transiting Exoplanet Survey Satellite (TESS), with the aim of compiling a comprehensive catalogue of orbital periods. Using 2-min photometric time-series data, we applied an automated algorithm to generate Lomb–Scargle periodograms and identify the most significant coherent periodic signals, which were subsequently verified through visual inspection. This process yielded a confident sample of 910 sources exhibiting at least one periodic signal, hereafter referred to as the Cataclysmic Variable Confident Catalogue (CCC). For each object, we report the most likely orbital period together with …

Genui: Customizing And Improving User Interfaces In Real-Time With Generative Ai, Ursula Parker

Theses

MOTIVATION: Users must conform to the interfaces they are given, which are designed for a generalized user base rather than individual workflows or preferences. Existing UI customizations are often limited to fixed options predetermined by developers, restricting meaningful user control. Advances in generative AI introduce the possibility of modifying the underlying code of a production system that defines interfaces, enabling more flexible and targeted adaptations. However, the feasibility, scalability, and usability of such user-driven customization remain open questions. GOAL: The goal of this work is to help people customize their user interfaces, by investigating how they can linguistically specify the …

Yes, I Think So?, Madeeha Ahmad

Theses

Yes, I Think So? is a body of work that explores memory as something unstable and alterable by emotion, time, and lived experience. Influenced by my experience with epilepsy, the show meditates on how dreams, seizures, and waking life can blur together, fracturing a sense of consistency and continuity. Rather than thinking of memory as a definitive record of the past, I encounter it as a process of reconstruction. Wood serves as both a material and a metaphor. It records time visibly with its growth yet remains unpredictable in its resistance to complete control. Indigo dye moves the work farther …

Energy And Cost In Cold Climates: Comparing Passive And Active Solar Design Upgrades For Homes And Their Ability To Reduce Energy Bills In Western New York, Gillespie Merod

Theses

This study examines the comparative effectiveness of passive solar design strategies and active solar systems for reducing residential energy expenditures while maintaining thermal comfort in Climate Zone 6A/B, with a focus on Western New York. A baseline single-family residence was created in Autodesk Revit and analyzed with Autodesk Insight (EnergyPlus) to assess energy performance across multiple upgrade scenarios. These scenarios encompassed targeted envelope enhancements, passive solar design strategies, deep energy retrofits, and photovoltaic (PV) system integrations. Results indicate passive measures, especially air sealing and insulation, can cut energy use by up to 76% with deep retrofits, though upfront costs and …

Dark Current And Persistence In Hgcdte-On-Si Infrared Detectors, Lazar Buntic

Theses

This thesis investigates the performance of Raytheon’s mercury-cadmium-telluride-on-silicon (MCT-on-Si) infrared detector arrays, with particular emphasis on the impact of the heteroepitaxial silicon growth process on dark current and persistence characteristics. Infrared detectors have been the cornerstone of astronomical discovery for the past four decades and remain essential for current and future flagship observatories, including the James Webb Space Telescope and the Nancy Grace Roman Space Telescope. Traditionally, the highest-performance HgCdTe (MCT) arrays are grown on lattice-matched cadmium-zinc-telluride (CZT) substrates, which are costly and limited in size. To enable low-cost, large-format arrays, Raytheon developed a process for growth of MCT on …

Long Run Effect Of Industrial Place-Based Policy On County Level Complexity, An Investigation Of The Tennessee Valley Authority, Anita Ifeyinwa Umunnah

Master's Theses

This paper studies the long-term effects of large federal investments in place-based industrial policies on regional economic development, contributing new evidence on how industrial policies shape regional local productive capabilities over time. While extensive research show that industrial policies impact regional development by advancing productive technology (capabilities), the fundamental question remains how to measure this technological transformation. The study employs the use of Economic Complexity Index (ECI) as a measure of “technological advancements” resulting from large federal investments in place-based industrial policies. Previous evaluations of such investment were based on livelihood, employment and income outcomes, with productive capability of receiving …

Latinos In Rural Areas Of Massachusetts, Phillip Granberry, Rodolfo R. Vega, Florita Coto Tristán, Rafael M. Pérez Medina

Gastón Institute Publications

In previous reports, the Gastón Institute has noted that the Latino population is dispersed across the state, but mainly to urban areas. In 2024, Latinos living in Massachusetts rural areas1 numbered 38,500, or 3.6% of the state's overall Latino population. Although Massachusetts is the third most densely populated among the fifty U.S. states, 52% of its land is classified as rural. These rural areas hold over 45% of the state's cities and towns and about 700,000 residents (9.9% of the total population). This report underscores the limited Latino presence in rural areas compared to urban areas and analyzes differences in …

The Quality Assurance Machine – A Software Quality Assurance Architecture For Ml-Enabled Systems, Shane E. Downing

All-Inclusive List of Electronic Theses and Dissertations

This dissertation evaluates whether a reusable assurance architecture, the Quality Assurance Machine (QAM), can provide effective product and process quality assurance for ML-enabled software platforms. The QAM is a system-level SQA architecture that turns plans and policies into versioned configurations, executes them in controlled environments, and produces preserved run evidence that supports traceability, auditability, and controlled change. The study follows Design Science Research and evaluates the instantiated artifact using eight assurance requirements (AR1–AR8) synthesized from standards-based guidance, including IEEE 730 and ISO/IEC/IEEE 15026. A four-year longitudinal evaluation combines two methods. First, operational evidence from routine regression and release-validation runs, defect …

Analysis Of Volumetric Reconstruction Methods In Archaeology, Cade O'Fallon

All-Inclusive List of Electronic Theses and Dissertations

The use of Structure from Motion (SfM) photogrammetry in archaeological projects is entering a period of transition; a method of producing 3D data that is traditionally embraced as tool for documentation is being explored for its analytic potential. One such way SfM photogrammetry can be used analytically is through the calculation of volumes using photogrammetric data. The tools exist for archaeologists to be able to create and quantify volumetric models; however, the discourse on these methods is still so new there is no consensus on the best method for conducting volumetric work. Different methods of creating and isolating volumetric space …

Microplastic Composition And Exposure Pathways In Freshwater Systems: A Multi-Matrix Comparison Between Streams And Retention Ponds In Hamilton County, In, Mya Whaley

All-Inclusive List of Electronic Theses and Dissertations

Since the early 1900s, the use of plastics has increased exponentially. The breakdown of plastic materials has exposed all ecosystems to microplastics (small particles of plastic < 5 mm), which are now ubiquitous in natural settings. Microplastics have a relatively large surface area, and many chemicals adsorb to these small particles, impacting their fate and transport of pollution. While microplastics have been found in virtually every setting on Earth, research is necessary to understand their impact on freshwater ecosystems and biogeochemical cycles. The focus of this research was to investigate microplastic compositions in crayfish, sediments, and water samples collected in streams and retention ponds. We analyzed trends in microplastic counts across different land-cover classes, waterbody types, and species, and compared concentrations among matrices to improve our understanding of microplastic exposure pathways in freshwater ecosystems. As a secondary objective, lead and arsenic concentrations were analyzed from sediment samples to investigate metal burdens and compare them to microplastic concentrations. Our findings revealed that, in general, urban streams had the highest microplastic concentrations within land cover categories, and retention ponds had higher microplastic counts than streams. Crayfish, such as F. rusticus had higher microplastic concentrations than F. virilis and F. propinquus, although these results may be influenced by study design. The most common microplastic type was fibers, and most common color was transparent. There was no significant correlation between microplastic and metal concentrations in sediments. We found crayfish to be adequate bioindicators of microplastic pollution, because they were less impacted by environmental variability than sediment and water samples. This research presents the first evidence of microplastics in our study species, F. propinquus, F. rusticus, and F. virlis. This work presents new evidence of microplastic accumulation in crayfish, sediments, and water from freshwater systems in the Midwestern United States. Microplastics were found in every sample type—crayfish, water, and sediment—across urban, rural, and forested landscapes, highlighting their pervasive distribution. The findings provide foundational data for assessing emerging ecological and human-health risks and emphasize the importance of sustained monitoring and research on MP contamination in freshwater environments.

Caring For Transgender People In Healthcare: A Qualitative Descriptive Study With Nurses Working In An Acute Healthcare Setting, Gabriela Roxana Matson

Theses & Dissertations

Transgender individuals frequently encounter numerous obstacles when accessing healthcare services, including stigma, discrimination, and inadequate understanding from healthcare providers. Structural, interpersonal, and anticipation barriers significantly hinder transgender patients' access to care. Structural barriers include a lack of healthcare providers knowledgeable in transgender health and financial constraints. Interpersonal barriers involve discrimination, such as refusal to use correct pronouns or provide gender-affirming care. Anticipation barriers stem from fear of mistreatment, causing many to avoid seeking medical care altogether. Nurses play a vital role in upholding inclusive and affirming healthcare This qualitative descriptive study explored the subjective experiences of registered nurses who provided …

Market Reactions To Deceptive Language In Fake News: Implications From Language Expectancy Theory And Transfer Learning, Ka Chung Ng, Ping Fan Ke, Ping Fan, Mike So, Tam, Kar Yan

Research Collection School Of Computing and Information Systems

The advent of generative artificial intelligence (AI) has heightened the proliferation of fake news. A key challenge is the limited real-world data to investigate the societal impact of fake news produced by generative AI. In this paper, we examine stock market reactions to financial news articles that exhibit stylometric similarity to human-crafted and AI-crafted fake financial news. Grounded in language expectancy theory, we employ a style-based transfer learning model, pre-trained to recognizing deceptive language employed in various types of fake news intricacies. We then apply this model to a comprehensive dataset of financial news, assigning a “veracity style score” to …

Quantitative Bounds On Resource Usage Of Probabilistic Programs, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Tobias Meggendorfer, Dorde Zikelic

Research Collection School Of Computing and Information Systems

Cost analysis, also known as resource usage analysis, is the task of finding bounds on the total cost of a program and is a well-studied problem in static analysis. In this work, we consider two classical quantitative problems in cost analysis for probabilistic programs. The first problem is to find a bound on the expected total cost of the program. This is a natural measure for the resource usage of the program and can also be directly applied to average-case runtime analysis. The second problem asks for a tail bound, i.e. ‍given a threshold t the goal is to find …

Brief Virtual Reality And Mixed Reality Mindfulness Breathing Exercise For Emotional Well-Being And Cognitive Functions In University Students: Within-Subjects Experimental Design Study, Zoey Khai Yee Eun, Charmaine Jiali Koh, Hwajin Yang, Adalia Yin Hui Goh, Meilan Hu, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

Background: Mindfulness has been shown to enhance emotional well-being and cognitive performance, yet much of this evidence stems from interventions requiring prolonged practice, making them time-consuming and less accessible. Recent studies suggest that brief mindfulness sessions may also yield positive outcomes, but the effectiveness of such interventions in virtual reality (VR) and mixed reality (MR) remains underexplored. Objective: This study investigates the effects of brief mindfulness breathing exercises delivered through VR and MR on attentional and emotional restoration and self-control capacity. Methods: Using a within-subjects experimental design, 102 undergraduate participants (n=83, 81.4% female; mean age 20.87, SD 1.89) completed a …

Research "Junkification" Is Caused By Researchers, Not Journals, Simon Sebastian Groome, Jose C. Yong, Norman P. Li

Research Collection School of Social Sciences

Concerns about declining research quality have increasingly been framed as “junkification,” whereby academic output expands in volume while declining in epistemic value. A recent paper by Rhodes and Linnenluecke (2025) attributes this trend to changes in publishing, arguing that research quality erodes as journals and publishers become increasingly oriented toward output quantity and metrics, driven by monetization. In 2009, Nobel Laureate James Watson remarked that scientific publishing in the mid-twentieth century was both easier and of a higher standard than today (Web of Stories, 2017). If publishing is much easier of late, as Rhodes and Linnenelucke (R&L) argued, then how …

Meritocracy And Equal Access To The Public Sector: A Comparative Analysis Of Accessibility To Public Sector Jobs And Public Services, Beomgeun Cho, Heasun Choi

Research Collection School of Social Sciences

This study investigates the impact of meritocracy on equal access to the public sector, focusing on public sector employment and services. While meritocratic principles promote impartiality and fairness in administrative processes, their effectiveness in improving equal accessibility remains understudied and contested. Drawing on the literature linking meritocracy to democratic stability, we argue that strong meritocratic systems enhance equal access to the public sector regardless of social groups and gender by fostering professional stewardship in the bureaucracy and strengthening checks and balances between bureaucrats and politicians. Our findings, drawn from a panel dataset consisting of 161 countries over 49 years, suggest …

Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal

Research Collection College of Integrative Studies

Project Wolbachia is a vector control method that releases male Wolbachia-infected Aedes mosquitoes to curb dengue transmission in Singapore. While research has primarily focused on its efficacy, few studies have examined public opinion. This study draws upon the cognitive miser model and scientific literacy model to examine the factors shaping public support for Project Wolbachia. A nationally representative door-to-door survey was conducted in Singapore (N = 1,000) using multi-stage stratified random sampling. Our findings revealed that while knowledge about Project Wolbachia explains public support, laypeople may often rely on cognitive shortcuts, such as value predispositions, media attention, and pre-existing perceptions, …

Alcohol Awareness, Prevention, And Education In Greek Life, Vivian J. Mcmechen, Kara Ann Lasater, Page Dobbs

Health, Human Performance and Recreation Undergraduate Honors Theses

Background: Alcohol consumption is normalized in Greek Life culture, and this social standard can lead to risky health behaviors and overconsumption. At the University of Arkansas, approximately one-third of students are members of Greek Life; there is a need for prevention methods that understand students’ lived experiences. Purpose: The purpose of this study is to examine students’ experiences with alcohol prevention, awareness, and education as current members of Greek Life at the University of Arkansas. Through student interviews and surveys, this project aims to inform and provide recommendations for relatable and student-centered alcohol prevention and education efforts. Methodology: This study …

Adolescent Social Media Use And Associations With Parental Screen Time Practices, Joseph A. Simon, Josiah Leong

Biological Sciences Undergraduate Honors Theses

The rise of electronic use among younger generations has raised concerns surrounding  the developmental and behavioral effects of increasing usage. While past research has found some associations between screen time and mental health, there is less knowledge about how parenting practices influence these developmental and behavioral patterns of social media use. Our study examined longitudinal trajectories of social media use from ages 9 to 13 among 9,211 subjects at baseline, year 1, year 2 and later a complete 3-year parent questionnaire on screen time reward, limiting, and monitoring to then examine whether parenting behaviors were associated with previous social media …

Antidistillation Sampling For Classification Models, Khawaja Abaid Ullah

Theses

Knowledge distillation enables adversaries to replicate the functionality of proprietary machine learning models by querying their APIs and training surrogate student models on the returned soft-label distributions. Antidistillation Sampling (ADS), recently proposed for large language models, perturbs the output distribution of a teacher model at inference time to degrade the quality of the resulting distilled model while preserving utility for legitimate users. We adapt ADS to the supervised classification setting and identify a structural obstacle to its direct transfer: the high-confidence, near-one-hot output distributions characteristic of well-trained classifiers leave insufficient probability mass on non-target classes for the additive penalty to …

Atmospheric Noise Analysis In Observations From The Tomographic Ionized-Carbon Mapping Experiment, Audrey Dunn

Theses

The Tomographic Ionized-carbon Mapping Experiment (TIME) instrument is a ground-based millimeter-wavelength grating spectrometer that illuminates a cryogenically cooled array of 1920 transition-edge sensor (TES) bolometers. The goal of TIME is to generate line intensity maps of singly ionized carbon ([CII]) during the Epoch of Reionization, when hydrogen became reionized by stellar radiation and the first galaxies were forming. This measurement requires a detailed understanding of the noise, most notably the 1/f noise from the time-varying atmosphere. In my thesis work, I performed an analysis of the power spectral density (PSD) and a traditional principal component analysis (PCA) on TIME data …

Like A Rolling Lychee, George Meng

Theses

I grew up in Shanghai, China—a megacity with over 25 million people. I was privileged enough to avoid the grueling fate of taking the National College Entrance Examination (Gaokao). At 16, I moved to Sewanee, a small college town in rural Appalachia with a population of only 3,000. Overshadowed by that curiosity was the collision of two worlds and my sense of belonging and identity. I wasn’t fully aware of how I watched and copied others’ behaviors and mannerisms to blend in as an adolescent. Being a minority in the middle of nowhere Tennessee meant I was conditioned into fitting …

Best Practice: Ct-Guided Adaptive Radiotherapy Reference Planning On The Ethos Platform, Xenia Ray, Joseph Harms, Alex Price, Mu-Han Lin, Dennis N Stanley

2020-Current year OA Pubs

Online adaptive radiotherapy (ART) enables treatment plan modifications based on the patient's anatomy at each fraction, addressing limitations of conventional radiotherapy that relies on a static pre-treatment plan. CT-guided ART (CTgART), as implemented on the Varian Ethos platform, has gained increased clinical adoption over the past several years; however, its success is highly dependent on reference plan design due to limited on-table planning flexibility. As a result, clinicians creating and reviewing reference plans will greatly benefit from both understanding how upstream planning decisions affect the downstream adaptive process and proactively incorporating strategies that improve optimization robustness and efficiency on-treatment. We …