Digital Commons Network^™

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 …

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 …

Unlocking Inexpensive Training Through Overcoming Weaknesses In Dataset Distillation, Connor Wilhelm

Theses and Dissertations

Dataset distillation is a nascent technique that promises accelerated neural network training. In particular, distillation produces a highly compressed dataset that can train a neural network in as little as a single optimization step. However, distillation has not been adopted for real-world use cases due to weaknesses, such as poor approximation of the original task, unclear interpretability, high costs of the initial distillation, and poorly elaborated use cases. Here, we present five papers that advance task distillation towards real-world adoption. The papers focus on: distilling reinforcement learning environments, interpreting distillation-produced datasets, improving distillation performance using ensembling, examining distillation's generalization to …

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 …

Traditions Of Belief In The Supernatural By Latter Day Saints, Christopher H. Smith

Individual Item Submissions

No abstract provided.

More Of The Same? Measuring Donald Trump's Populism In The 2024 Presidential Campaign, Ryan Rajasooriar, Kirk Hawkins

FHSS Mentored Research Conference

This research analyzes whether Donald Trump increased his populist rhetoric in the 2024 presidential campaign in comparison to 2016. Using a holistic coding rubric, we had three trained coders analyze 25 campaign speeches and 2 debates, using a 0-2 scale and creating sub-scores for anti-elitism and people-centrism.

The results show no statistically significant increase in overall populism( 2016 Avg = 0.8 vs. 1.0 Avg in 2024. Trump's rhetoric is consistently "half-populist", reflecting a strong leaning towards anti-elitist speech but weaker or erratic amount of people-centrism. Usually a populist will emphasize the people as the "glorified will" of the country. However, …

Nature Nearby: Use Of Green Spaces Mediating The Relationship Between Access To Green Spaces And Health, Sydney P. Goodson

FHSS Mentored Research Conference

Access to green spaces has been consistently linked to improved physical and mental health, yet the mechanisms driving this relationship remain underexplored, particularly in the United States. Using data from the 2018 General Social Survey (N = 1,045), this study examines whether time spent in natural environments mediates the relationship between access to green spaces and self‑rated physical and mental health. Linear regression models with robust standard errors reveal that time spent in natural environments mediates the relationship between access to green spaces and both health outcomes. These findings suggest that proximity to green spaces alone is insufficient to produce …

Family Processes As A Protective Factor Between Adverse Childhood Experiences And Adolescent Delinquency, Tessa Johnson

Theses and Dissertations

This study explores whether family processes (i.e., parental attachment and parental discipline/monitoring) serve as protective factors between the relationship of adverse childhood experiences (ACEs) and adolescent delinquency. Prior research has established an association between ACEs and many negative life outcomes, including delinquent behavior, while strong parental attachment and parental discipline/monitoring are linked to lower rates of delinquency. However, the interplay of these three factors has been understudied. Drawing on data from the 2024 Florida Youth Substance Abuse Survey (FYSAS) (N=22,016), this study examines the relationship between ACEs, family processes, and delinquency using negative binomial regression models. Results indicate that parental …

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, …

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 …

Understanding The Role Of Tiktok As A Source Of Support For Cyberbullying Victims, Saba Iqbal

Theses and Dissertations

Cyberbullying poses a significant threat to teenagers and young adults, who often seek support and advice online. Little is known about the support and advice shared online for victims of cyberbullying and whether it is helpful. In this study, we used qualitative thematic analysis to examine a sample of 150 TikTok videos that give support or advice for cyberbullying victims. We identify 33 unique pieces of support and advice across 5 categories, with differences in tone and delivery among different types of videos. We then evaluated the quality of 33 unique pieces of cyberbullying advice in a user study with …

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 …

Hybrid Bermudagrass Dormancy Management In A Cool-Season Climate, Clarissa H. Peterson

Theses and Dissertations

Hybrid bermudagrass (Cynodon dactylon [L.] Pers. × C. transvaalensis Burtt Davy) (HBG) is a water efficient warm-season turfgrass increasingly adopted in cool-season and semi-arid regions due to climate change and the demand for reduced irrigation inputs. However, prolonged winter dormancy limits its visual quality (verdure) and seasonal performance. This thesis evaluated multiple management strategies to modify dormancy dynamics and improve off-season turf quality in a cool-season environment. Field experiments assessed the effects of growth covers, fertilizers, colorants, surfactants, organic acids, and overseeding with cool-season species on HBG dormancy over two seasons. Dormancy responses were quantified using normalized difference vegetation index …

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 …

Language And Emotional Experience: A Worldwide Study, Natalie Lorange, Chelsea Romney

FHSS Mentored Research Conference

This qualitative study explored how native language influences emotional experience. Fourteen participants from diverse countries were recruited to capture a range of linguistic perspectives and experiences. Data were analyzed using thematic analysis, resulting in four key themes: (1) shared experience as central in creating emotional meaning, (2) the power of words in shaping emotional experience, (3) stronger emotional resonance in native or frequently used languages, and (4) the importance of regional differences in emotional experience. Findings suggest that while emotions may be largely universal, linguistic and cultural differences play a significant role in an individual's emotional identity. The study highlights …

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 …

Advancing Cyclic Ion Mobility Mass Spectrometry For Structural Characterization, Isomer Discrimination And Gas-Phase Ion Chemistry, Sudam Shivaji Mane

Theses and Dissertations

This dissertation focuses on the development and application of high-resolution ion mobility-mass spectrometry (IMS-MS) methodologies for gas-phase separation and structural characterization of small molecules, with particular emphasis on epimers, positional isomers, and protomers. In addition to structural separations, this work investigates fundamental aspects of gas-phase ion chemistry using IMS-MS in combination with collision-induced ion activation and dissociation techniques. Advanced separations were performed using cyclic traveling-wave ion mobility spectrometry (cyclic TWIMS), implemented in a commercial cyclic ion mobility-mass spectrometry (cIMS) platform, to systematically evaluate both the capabilities and limitations of high-resolution IMS in resolving subtle structural differences. Initial studies demonstrated that, …

Asynchronous Scenario-Based Training Resources For Domestic And International Mentors, Benjamin W. Davis

Instructional Psychology and Technology Graduate Student Projects

The following design report details the development of training resources for The Church of Jesus Christ of Latter-day Saints to help in-field mentors learn and improve specific job tasks. In 2025, the client hired over 400 new employees as it expanded to support regions around the globe. This necessitated enhanced training resources which mentors could access on demand during their weekly professional development time. In response, I developed and delivered asynchronous training materials through an internal SharePoint page. These materials include a self-assessment, instructional videos, practice activities in Microsoft PowerPoint modules, and job aids.

This report begins with a description …

Breaking The Ice: The Effects Of Climate On Arctic Accessibility & Strategic Capability, Parker J. Peterson, Frank Devito, Alex Guglielmo

FHSS Mentored Research Conference

Arctic sea ice has declined steadily since 1978, reshaping global shipping routes, military postures, and indigenous communities. Reduced ice extent expands access to the Northern Sea Route and Arctic resources while correlating with increased military activity. These changes accelerate economic opportunity but outpace governance, threatening Indigenous wellbeing and regional stability.

Redox Reprogramming In Neurogenesis: Candidate Developmental Switches And Targets Of Oxidative Toxicity In The Redox Proteome, Ryan Jacob Summerhays

Theses and Dissertations

Neurogenic differentiation requires coordinated redox regulation, yet how reversible cysteine oxidation is remodeled at proteome scale during this process remains poorly defined. Here, we asked whether differentiation is associated with selective, site-specific changes in reversible cysteine oxidation and whether oxidative stress reveals developmentally conditioned vulnerabilities within this redox landscape. To address this, we applied a discovery-oriented, proteome-scale redox profiling strategy that quantifies condition-dependent changes in reversible cysteine oxidation using CysPAT labeling, phosphopeptide enrichment, and multiplexed TMT mass spectrometry. Neurogenic differentiation was characterized by reproducible, bidirectional, and highly site-specific remodeling of reversible cysteine oxidation at discrete regulatory nodes, as well as …

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 …

What Is Love? Baby Don't Hurt Me, Don't Hurt Me, No More, Sydney H. Crockett

FHSS Mentored Research Conference

Is love a choice? A literature review demonstrated that love and behavior are inextricably linked, and one’s choices influence the development of love, suggesting it could be a choice. Interviews demonstrated that the assumption that love is a choice was baked into almost every respondent’s behavior, providing merit to the conclusion.

Cebuano For Missionaries - Missionary Training Center Grammar Book, Jaden Sigua

Instructional Psychology and Technology Graduate Student Projects

This project presents the design and development of Cebuano for Missionaries, a grammar resource created to support language instruction at the Missionary Training Center (MTC). The purpose of the project was to align grammar instruction with communicative missionary tasks and support learners in achieving Intermediate-Low proficiency on the ACTFL scale. The resource was developed using an iterative design process informed by stakeholder interviews, task analysis, and pilot testing. Key design features include simplified grammar explanations, visual reference charts, and task-based study activities to support classroom instruction, tutoring, and independent study. The project also outlines implementation plans, evaluation strategies, and …

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 …