Digital Commons Network^™

An Examination Of K-12 Administrators' Philosophical Views On Music Education, Kathryn Ann Smith

Theses and Dissertations

K-12 administrators' beliefs about the purpose and value of music education have resulted in inconsistent support for students' access to music education in public schools. This study sought to examine administrators' philosophical views about music education and factors that may influence those beliefs, contributing the first known application of a praxial framework in assessing administrator belief systems. I developed a survey incorporating Song's (2025) Philosophical Beliefs Scale (Ph.B. Scale) to measure utilitarian, aesthetic, and praxial philosophical perspectives, along with key demographic and contextual characteristics. Participants (N = 65) were recruited via e-mail and K-12 administrator Facebook groups and represented a …

Tracing Microplastics From Polymer-Coated Urea: Urban To Agricultural Pathways And Environmental Fate, Caden Joseph Seely

Theses and Dissertations

Polymer-coated urea (PCU) is widely used as a slow-release nitrogen (N) fertilizer because it improves N use efficiency and reduces losses through leaching, denitrification, and volatilization. However, the polymer coating raises concerns about potential microplastic (MP) transport to surface waters following fertilizer application. This thesis evaluates the off-site transport of MPs and associated nutrient and sediment losses from PCU in both urban landscape and agricultural systems. In the urban landscape study, treatments included sod, mulched beds, and water-efficient ground cover receiving uncoated urea, PCU, or liquid slow-release N at 225 kg N ha⁻¹ (with reduced rates for beds and ground …

Stack-Based Exploit Development Techniques In Mips Architectures, Justin Applegate

Theses and Dissertations

Memory corruption vulnerabilities in binary executables represent a serious threat to software security, particularly in embedded and IoT (Internet of Things) devices that commonly use the MIPS architecture. While exploit development techniques for x86 are well-documented in academic literature, little systematic work exists on how those techniques translate to other architectures such as MIPS. This research addresses that gap by evaluating thirteen stack-based exploit development techniques and subtechniques, originally designed in the context of the x86 architecture, for their applicability to MIPS architectures. For each technique, vulnerable C code was written and compiled into both x86 and a set of …

Conditioned Synthesis Of Spectra Using Matrix Decomposition For Spectral Library Augmentation, Anna Catherine Rollans

Theses and Dissertations

In hyperspectral imaging, identification and detection tasks are often done by comparing the spectrum of an unknown material to labeled spectra in a spectral library. However, it is intractable to populate a spectral library with measurements of all possible materials in all possible conditions. We propose modeling the weights resulting from matrix decomposition as functions of material condition(s) to generate synthetic spectra at unmeasured conditions to augment spectral libraries. Matrix decompositions considered here include principal component analysis (PCA), non-negative matrix factorization (NMF), and independent component analysis (ICA).We demonstrate this method by generating (1) synthetic long-wave infrared (LWIR) emissivity spectra of …

Evaluation Of Polyester Polymer Concrete Overlays On Bridge Decks In Utah, Landon Moore

Theses and Dissertations

The objective of this research was to evaluate the condition of polyester polymer concrete (PPC) overlays placed on both new and in-service concrete bridge decks in Utah. The procedures for this research included a desktop review of 80 bridges with PPC deck overlays; scanning of nine decks using rapid automated sounding and advanced deck imaging technologies to document delamination, cracking, spalling, and patching; and additional testing of two decks. This research involved evaluations of PPC overlays that were 2 to 8 years old and bridges that were 4 to 40 years old at the time of testing. The primary distresses …

Optimizing Seedling Emergence In Sagebrush-Steppe Restoration: The Role Of Sowing Depth, Seed Coatings, And Microsite Amendments, John Thomas Stromberg

Theses and Dissertations

Seedling survival of fall-sown seeds over the winter and subsequent emergence in spring is a major demographic bottleneck limiting recruitment in dryland restoration. Deeper sowing can place seeds in a more favorable soil environment with more stable moisture and moderated temperatures, but emergence from these depths is often constrained by the greater distance seedlings must grow to reach the surface and by mechanical resistance in the upper soil layer. In the first chapter of this thesis, we evaluated the use of a slow-release gibberellic acid (GA₃) polymer seed coating to aid in seedling emergence from deeper sowing depths. We compared …

Implementing The Safe System Approach For Speed Management In Utah, Kezia Isabelle Tripp

Theses and Dissertations

Speed management is central to reducing fatal and serious injury crashes. The Safe System Approach, an emerging roadway safety paradigm in the United States, recognizes human error and vulnerability and focuses on minimizing crash severity through coordinated policy, design, and operational strategies. This thesis examines how Safe System Approach principles can be applied to speed management, with a focus on identifying practical countermeasures and implementation strategies relevant to the Utah Department of Transportation (UDOT). A compendium of practice was conducted to evaluate speed management countermeasures and document how cities and state Departments of Transportation are implementing Safe System Approach-based strategies. …

Sonic Booms From Rockets: Measurements And Modeling, Mark Charles Anderson

Theses and Dissertations

Rocket sonic booms are produced when launch vehicles or boosters travel faster than the local speed of sound in the atmosphere, generating systems of conical shock waves. The purpose of this dissertation is to perform high-fidelity measurements of rocket sonic booms and to explain the physics behind the unique phenomena observed. After a thorough literature review on sonic booms produced during spaceflight operations, Part I of this dissertation deals with measurement and analysis challenges. One challenge is reducing contaminating noise effects on sonic boom perception metrics, addressed using a low-pass filtering method tied to the noise floor. A second challenge …

Toward Human-Like Robot Behavior In Co-Manipulation: Learning From Human Dyad Performance, Adam Kenneth Jackson

Theses and Dissertations

Co-manipulation requires two or more agents to coordinate through a shared object while exchanging information through motion and force. Although this capability is routine for humans, robotic systems still struggle to participate in such interaction naturally and effectively. This thesis addresses that gap by studying human co-manipulation behavior, developing methods to quantify performance, collecting a leader-follower dataset that isolates haptic communication, and training data-driven controllers from human demonstrations. First, cumulative and real-time metrics were developed to quantify human dyad performance. In particular, the behavioral modes "quickly" and "smoothly" were formulated as measurable performance objectives using completion time and squared jerk. …

3d Printed Microfluidic Nonlinear Structures For Implementing Lab-On-A-Chip Integrated Logic Control, Marshall J. Rawlins

Theses and Dissertations

Microfluidic devices are individual chips that manipulate small quantities of fluid to perform, for example, biomedical assays. They provide a compact apparatus for conducting chemical processes while using only micro-liter quantities of potentially expensive chemical reagents. Continued research in microfluidics has brought significant achievements in reducing microfluidic feature sizes, allowing for microfluidic systems to be more densely packed and designed for more complex chemical assays. However, this comes with the need for additional control inputs which require additional external equipment to generate the control inputs. This leads to crowding of external inputs, or an increase in chip volume to accommodate …

Physics-Based And Data-Driven Low-Order Modeling Of Centrifugal Compressors, Chase Oliphant

Theses and Dissertations

Centrifugal compressors serve as critical components across many applications, yet their design and performance prediction present significant challenges. While computational fluid dynamics provides high-fidelity predictions of compressor behavior, its prohibitive computational cost renders it impractical for preliminary design phases where rapid exploration of the geometric and operating space is essential. Conversely, existing low-order models have enabled efficient performance estimation but suffer from limited accuracy and poor interpretability, particularly when applied to novel geometries or off-design operating conditions. This dissertation addresses these limitations through three complementary contributions that bridge the gap between high-fidelity CFD and preliminary design tools. The first contribution …

Biophysical Insights Into A Cryptic, Hydrophobic Binding Site On Pcna, Alexis Dispensa

Theses and Dissertations

Proteins are dynamic molecules whose functional landscapes extend beyond static structural representations. Transient cryptic pockets (buried cavities that emerge through protein motion) represent underexplored targets for allosteric regulation and drug discovery. General anesthetics are small, lipophilic, weakly polar molecules that are well suited to partition into such hydrophobic sites. In this work, environment-sensitive fluorescence, photoaffinity labeling, mass spectrometry, mutational analysis, and microsecond molecular dynamics simulations were integrated to discover and characterize a cryptic, highly apolar binding site within the hydrophobic core of human proliferating cell nuclear antigen (PCNA), a central scaffold in DNA replication and repair. Using the solvatochromic fluorescent …

Development Of An Experimental Platform For Hydrogen-Propelled Cold Spray, Michael James Katz

Theses and Dissertations

Cold spray (CS) has gained recent interest as an additive manufacturing process. This process uses high pressure propellant gas to accelerate solid-state powder particles through a specialized nozzle, beyond which the powder deposits onto a substrate as a dense coating and without either material undergoing a phase change. Both nitrogen (N2) and helium (He) are commonly used as CS propellants, with He generally yielding superior results at otherwise similar processing conditions. However, performance advantages of He come with a significant drawback: He is a limited resource that may be sensitive to geopolitical conflicts and, in recent history, has been subject …

Space-Time Coded Pcm/Fm For Aeronautical Mobile Telemetry, Zachary B. Hilton

Theses and Dissertations

This thesis describes the application of a space-time block code for the legacy continuous phase modulation called "PCM/FM" in the IRIG 106 standard to solve the "two-antenna problem". This problem arises when two transmit antennas are used for full spatial coverage at the cost of self-interference caused by the different delays between the transmit antennas and the ground-based antenna. The space-time block encoder is described using bit-level operations on the input data stream. The space-time decoder uses coherent combining and maximum likelihood sequence estimation to produce an estimate of the data sequence. Simulation results for zero and various non-zero differential …

Fabrication Of Su-8 Electrically Actuating Membranes, Tyler James Adams

Theses and Dissertations

This work investigates SU-8 polymer waveguides as a fabrication platform for integrated optical structures. Surface roughening using oxygen plasma etching is used to induce controlled optical scattering, enabling direct observation of guided modes and providing insight into waveguide behavior. Building on this, waveguide geometry is modified through an elevated scattering region (ESR) design, which reduces transition losses and improves scattering efficiency by preserving optical volume within the guiding region. In parallel, suspended SU-8 membranes are fabricated and evaluated for mechanical stability, providing a platform for integrating optical structures beyond conventional substrate-bound configurations. These membranes are further characterized under electrostatic actuation, …

Democratizing National Water Model Streamflow Forecasts Through Cross-Platform Mobile Application Development, Jerson J. Garcia

Theses and Dissertations

The National Water Model (NWM) provides operational streamflow forecasts for 2.7 million stream reaches across the continental United States, yet technical barriers prevent widespread public access to this hydrological infrastructure. This paper presents RIVR (River Information Visualization and Risk), a cross-platform mobile application that transforms National Water Model forecasts into an accessible interface for non-technical users. Built with Flutter, the application deploys to iOS and Android from a single codebase and integrates NOAA forecast APIs, CIROH return-period thresholds, and interactive vector-tile mapping. Performance evaluation across six metrics: application size, startup time, memory consumption, rendering frame rates, API response times, and …

Hypertext Transfer Protocol Fingerprinting: Techniques For Attacker-In-The-Middle Proxy Detection, Evasion, And Counter-Evasion, Jensen George Wood

Theses and Dissertations

Attacker-in-the-middle (AitM) phishing toolkits have emerged as a critical threat to enterprise and individual security by enabling adversaries to bypass multi-factor authentication (MFA) and compromise cloud-based accounts at scale. Traditional detection techniques--such as IP blocklists or content-based detection methods--are often ineffective against these increasingly sophisticated attacks. We propose a novel method that detects malicious proxies by identifying artifacts they introduce into HTTP request headers. To evaluate our approach, we systematically analyze traffic passed through several open-source AitM toolkits and proxies, identifying distinct modifications to header structures and content, then formalize these features as YARA rules for automated use. To validate …

Path Planning And Control For Vertical Takeoff And Landing Aircraft, Dean Benjamin Anderson

Theses and Dissertations

One of the challenging problems of unmanned aerial vehicles (uav) is controlling vertical takeoff and landing (vtol) aircraft. Vtol aircraft can take off and land without landing strips while retain the efficiency of fixed-wing airplanes for long range flight. Unfortunately, the transition from takeoff and forward flight, and from forward flight to landing, is an extremely difficult control problem. Most current controllers for transition switch between flight regimes based solely on airspeed. The trajectory for such switching transitions is a straight vertical ascension followed by a straight forward startup flight; it does not allow for the development of more complex …

Real-Time Data Collection System For Low-Cost Diesel Emissions Monitoring, Zachary Driskill

Theses and Dissertations

Diesel trucks are a major source of pollutants, including particulate matter (PM) and NO$_x$. Roadside emissions monitoring can identify high-emitting diesel vehicles, but conventional sensing systems rely on expensive, complex sensing instruments that limit widespread deployment. Low-cost sensors offer increased scalability due to their small size, low cost, and low power consumption, but they have lower accuracy and slower response time. This thesis presents the design and evaluation of a low-cost roadside emissions monitoring system, establishing the foundation for a scalable and widely deployable alternative. We apply machine learning calibration to roadside emission monitoring to improve the usability of low-cost …

Implementation And Evaluation Of Alternative Methods For Simulation Of Sidescan Sonar, Blake Paul Romrell

Theses and Dissertations

The original sonar implementation for the HoloOcean simulator was built upon a cached octree representation of the world. On first runs, building the cache was prohibitively slow, and the cache had a major memory footprint. This work presents alternative implementations for the sidescan sonar using direct raytracing on the CPU and rendering on the GPU. To evaluate and compare the implementations, timing tests on comparable parameters, as well as sweeps on resolution and range parameters, were performed. The render-based GPU implementation outperformed the others in the timing tests.

Leveraging River Forecast Center Knowledge To Improve Large-Scale Hydrologic Model Performance Through Bias Correction, Ian Mathews

Theses and Dissertations

The National Water Model (NWM) provides continental-scale streamflow predictions but exhibits bias and reduced skill in highly regulated and snow-driven basins. In contrast, River Forecast Center (RFC) models incorporate decades of local calibration and regulatory knowledge but are limited in spatial coverage to specific points of interest. This study evaluates whether hydrologic knowledge embedded in RFC-calibrated simulations can be transferred to improve NWM performance at unmonitored locations using the Streamflow Analysis for Bias Estimation and Reduction (SABER) framework. Using Colorado Basin River Forecast Center (CBRFC) simulations as surrogate reference data, we applied SABER to the NWM 44-year retrospective model simulation …

Practical, Scalable, And Cost-Effective Nanolc-Ms Workflow For Single-Cell Proteomics, Siqi Huang

Theses and Dissertations

Single-cell proteomics provides a novel research strategy for decoding cellular heterogeneity, revealing the molecular mechanisms of rare cell subpopulations, and studying the dynamic responses of cells to external stimuli. However, compared to transcriptomics, single-cell proteomics faces even more challenging technical challenges: extremely low protein amount in single cells, wide dynamic range, significant adsorptive losses during sample preparation, and the complex matrix and trace sample injection demanding extremely high stability and sensitivity from the separation and detection systems. Mass spectrometry-based bottom-up proteomics has become an important tool for analyzing complex biological systems, and nano-flow liquid chromatography-mass spectrometry (nanoLC-MS) exhibits unique advantages …

Differentials As Models: Constructing A Differentials-Within-Limits Framework For First-Year Calculus And Examining Students' Understanding Of Limits, Differentials, And Derivatives Within It, Alexander A. Swindler

Theses and Dissertations

Work in first-year calculus has clearly shown the power that treating differentials (such as dx) as tiny quantities affords for first-year calculus learning, yet a traditional limits-based approach leaves no room for them. While some researchers have loosely described informal differentials and limits within the same paradigm, their actual conceptual definitions and relationships have not been explicitly constructed. Continued progress in this area could benefit from theoretical consideration of (a) providing clearer intuitive definitions for differentials inside a limits-based approach to calculus, and (b) defining more exactly the relationships between differentials and limits. In this study, I propose a theoretical …

Transcriptomic Analysis Of Xeroderma Pigmentosum Group C Skin Samples, Austen N. Gleave

Theses and Dissertations

Xeroderma Pigmentosum is a rare genetic disorder caused by defective DNA damage repair enzymes. This condition results in an increased risk of developing skin cancer and other symptoms in those affected. In this thesis, we examined the effects of Xeroderma Pigmentosum on gene expression in patient skin biopsy samples. To accomplish this, we utilized statistical analysis of spatial transcriptomic and single-cell RNA sequencing techniques to discover differences between patient and heterozygous carrier skin samples. We found that the skin samples from Xeroderma Pigmentosum patients showed elevated levels of inflammation, immune activation, and cellular stress, while the carrier skin samples leaned …

An Efficient Approximation To The Vibrational Coupled Cluster Method For Large Molecules, Nivedhitha P Ms

Theses and Dissertations

The Watson Hamiltonian is a widely used model for describing anharmonic vibrational motion in polyatomic molecules. It expresses the kinetic energy in separable dimensionless normal coordinates and represents the potential energy as a Taylor series expansion around the equilibrium geometry, usually up to the quartic approximation. Several computational methods have been developed to solve the corresponding vibrational Schrödinger equation for predicting infrared (IR), Raman, and vibrational circular dichroism (VCD) spectra. These include the Vibrational Self-Consistent Field (VSCF) method, Vibrational Configuration Interaction (VCI) and its approximations, and Vibrational Second-Order Perturbation Theory (VPT2), each providing different balances between computational cost and accuracy. …

Artificial Intelligence For Better Inclusive Higher Education: A Study Of A Private University In Cairo, Shereen Ismail

Theses and Dissertations

This study explores how artificial intelligence (AI) tools relate to accessibility for visually impaired students in Egyptian higher education, focusing on University Y in Cairo. Grounded in the Social Model of Disability and Universal Design for Learning, it examines visually impaired students’ lived experiences of AI mediated access and the institutional conditions that shape these experiences. A qualitative phenomenological design was used, with semi-structured interviews conducted with visually impaired undergraduate students and key staff involved in assistive technology, teaching and learning, and student wellbeing; data were analyzed thematically. The findings indicate that participants experience AI tools (e.g., chatbots, transcription and …

Generalized Planning Using Language Models And Its Applications, Vishal Pallagani

Theses and Dissertations

Planning is a fundamental capability for intelligent systems, yet classical planners remain difcult to scale and generalize across domains due to their reliance on hand- engineered models, brittle search procedures, and limited adaptability. These limita- tions constrain real-world applications that require fexible reasoning, robust decision- making, and the ability to operate across diverse environments.

Large language models have emerged as powerful learners supported by their ar- chitectures and large-scale training data, demonstrating strong capabilities in tasks such as question answering, code generation, summarization, and reasoning. Moti- vated by their broad generalization abilities, I investigate whether language models can be systematically …

The Use Of Machine-Learning Interatomic Potentials To Study Bulk Properties Of Aqueous Zn Ion Batteries, Ria Vasdev

Theses and Dissertations

Aqueous Zn-ion batteries (AZIBs) have emerged as a promising energy storage tech- nology owing to their high Coulombic efciency and low environmental impact. However, their practical development is impeded by limited cycling stability, pri- marily caused by parasitic side reactions occurring at the anode surface. These side reactions are strongly infuenced by the bulk solvation structure of Zn-based elec- trolytes, which remains challenging to characterize using conventional experimental techniques. Machine-learning interatomic potentials (MLIPs) provide a powerful computational approach to investigate these systems and can be employed to eluci- date the bulk structural properties of Zn electrolytes.

Soil Macroinvertebrate Biodiversity Patterns In Congaree National Park And The Role Of Dna Barcoding, Sharon Ann Kendrick

Theses and Dissertations

Soil and leaf-litter invertebrates are important components of terrestrial biodiversity and contribute to key ecosystem processes such as decomposition, nutrient cycling, and soil formation. Despite their ecological importance, these communities remain difficult to document because many taxa are small, cryptic, or challenging to identify using morphology alone. This study examined patterns of soil macroinvertebrate biodiversity across habitats within Congaree National Park while also evaluating the usefulness of DNA barcoding for documenting taxonomic diversity. Sampling was conducted at 39 sites between September 2022 and October 2024 across upland, bottomland, and bluff habitats. Macroinvertebrates were collected separately from leaf litter and soil …

Deep Learning Models For Anomaly Detection In Industrial Inspection, Jiawei Guo

Theses and Dissertations

Anomaly detection plays a pivotal role in ensuring the longevity and safety of engineered systems, particularly in domains where defects can have significant operational or economic consequences. From internal damage in structural parts to subtle visual defects in manufactured components, identifying abnormal patterns requires models that are both computationally efficient and suitable for real-world deployment. This dissertation explores deep learning-based solutions designed to address these challenges, with a focus on Structural Health Monitoring (SHM) and industrial defect inspection under real-world scenarios.

This dissertation first addresses the problem of efficient and reliable component- level perception with limited supervision and strict hardware …