Digital Commons Network^™

Secure Agricultural Futures: Re-Defining And -Imagining Agricultural Water Landscapes In The Us West, Britta L. Schumacher

All Graduate Theses and Dissertations, Fall 2023 to Present

Aridity is swiftly becoming the US West’s new normal. As agricultural communities adjust to persistent growing-season scarcity, they find their livelihoods under increasing threat. This points to the urgency of finding paths toward more secure water futures. A piece of this future puzzle includes water (re-)distribution – taking excess from one place and delivering it to another in need. To begin thinking about (re-)distribution, this dissertation engages with three mixed-methods and multiscale studies. The first study pairs county-level data across the 11 westernmost US states with survey data collected from individual producers in Utah to assess past and current trends …

Spatial Prediction Under Uncertainty: Methodological And Computational Advances In Bayesian Maximum Entropy, Kinspride K. Duah

All Graduate Theses and Dissertations, Fall 2023 to Present

Environmental decisions such as infrastructure design, water management, and snow load estimation depend on spatial data that are often incomplete or uncertain. In many cases, measurements are not exact values but ranges, reflecting limitations in data collection methods. Traditional mapping techniques typically simplify these uncertain measurements, which can lead to less accurate predictions. This dissertation introduces improved statistical tools for making spatial predictions when data are uncertain or partially known. By utilizing a framework called Bayesian Maximum Entropy (BME), this research demonstrates how exact measurements and range-based data can be combined in a mathematically consistent way. The work demonstrates that …

Sensitivity Analysis Of A Low-Power Wireless Capacitive Charging System To Inform Thermal Limitations And Battery Size Reduction Potential For Electric Passenger Vehicles, Karmen Teuscher

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of using electric vehicles instead of internal combustion engine vehicles that burn gas is to reduce pollutants in the air and potential environmental impacts such as climate change. EVs produce much less air pollutants than ICEVs but manufacturing the EV batteries and the repeated recharging still contributes to the overall air pollution.

Capacitive power transfer systems can wirelessly charge vehicles through the road as they drive along highways or stop at traffic lights. If vehicles charge as they drive, an opportunity opens to reduce the size of the battery while maintaining the same driving range. Reducing the size …

The Impact Of Early Exposure To Engineering Concepts In The Form Of Family, School Classes, And Stem Extracurriculars On The Long-Term Sense Of Belonging In Undergraduate Women In Engineering, Hannah Lloyd

All Graduate Theses and Dissertations, Fall 2023 to Present

Engineering continues to struggle with the underrepresentation of women, and many women who begin engineering programs report feeling isolated or uncertain about whether they belong. A strong sense of belonging has been linked to greater confidence, persistence, and success in engineering. This study examined how early experiences with engineering before college may influence students' sense of belonging later in their undergraduate engineering programs.

Using survey responses from undergraduate engineering students across the United States, this study explored several types of early exposure to engineering, including family influence, school-based engineering and STEM courses, extracurricular programs such as robotics clubs and engineering …

Learning Latent Structure In High-Dimensional Data Via Geometry And Graphs, Haozhe Chen

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern datasets often contain many measured variables for each observation, such as gene-expression levels, brain activity signals, or features in tabular data. These data are also often noisy, meaning that useful patterns are mixed with measurement error or irrelevant variation. Although such datasets can appear complex, they are frequently represented by simpler hidden structures, such as trajectories, clusters, or relationships between observations. This dissertation develops methods for uncovering these hidden structures by learning geometric and graph-based representations directly from data. The first part introduces Functional Information Geometry, which represents local patterns in high-dimensional data using functional features and constructs a …

Agronomic And Economic Evaluation Of Alternative Forage Crops Under Irrigation Technologies And Deficit Irrigation, Shikha Sharma

All Graduate Theses and Dissertations, Fall 2023 to Present

Water is becoming more limited in the western United States, including Utah, so farmers need forage crops that can produce well while using less irrigation water. This study examined how different forage crops respond to reduced irrigation and different irrigation application methods, and whether some crops can provide better economic returns under limited water conditions.

Field studies were conducted at three Utah locations, Cedar City, Logan, and Vernal, from 2020 to 2024. The alternative forage crops included teff, sorghum-sudangrass (sudex), and forage rye. For economic comparison, conventional forage crops included alfalfa, corn, and three-way small grains. Four to five irrigation …

The Impact Of Ai On The Landscape Design Process, Jacob Owen Huff

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is becoming more common in design fields, including landscape architecture. For example, AI has been used to visually analyze park aesthetics and generate landscape design concepts (Jahani et al., 2022; Senem et al., 2023; Ploennigs & Berger, 2023). This study explores how AI, specifically an image-generation tool called Midjourney, affects the design process for landscape architecture students.

Students completed two design projects—one using AI-generated images and one using traditional, non-AI precedent images. Their final designs were evaluated by professional landscape architects who did not know which designs had been influenced by AI. Students also completed surveys about …

Does Acceptance Matter? The Moderating Role Of Acceptance Of Pornography Use In Sexual And Relationship Satisfaction, Alexandra L. Gillespie

All Graduate Theses and Dissertations, Fall 2023 to Present

With more or the general population reporting regular pornography use there has been an increase in interest in the consequences of regular use, especially for romantic relationships. Previously completed research has shown that there are likely other explanations for why pornography use is related to both positive and negative outcomes. This study examines how acceptance might change the influence the relationship between frequency of use and relationship and sexual satisfaction for individuals. This relationship may yield greater understanding of why some individuals report benefits and others report negative effects of pornography use. Findings indicated that for men their level of …

Toward Risk-Informed Design Of Supercooling Heat Exchangers: Statistical Inference And Experimental Investigation Of Heterogeneous Ice Nucleation, Daniel B. Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Ice-based cooling storage systems can reduce electricity costs and grid strain by making ice during off-peak hours and using it for air conditioning during the day. One promising design works by chilling water below its freezing point as it flows through a heat exchanger, then allowing it to freeze in a separate storage tank. The challenge is that the chilled water can freeze prematurely inside the heat exchanger itself, blocking the flow and shutting the system down. Preventing this unwanted freezing requires understanding how and where ice begins to form on surfaces, a process called nucleation.

This dissertation investigates ice …

Understanding The Impact Of Environmental Change On Shorebird Abundance And Distribution Across The Intermountain West Over The Past 30 Years, Sharon Montecino

All Graduate Theses and Dissertations, Fall 2023 to Present

Shorebirds have declined worldwide over the past century, mainly due to wetland loss and degradation. Wetlands are sites that are temporarily or permanently flooded and provide critical habitat for shorebirds, especially in arid and semi-arid regions such as the Intermountain West. However, climate change and human water use threaten these wetlands, and how these threats may affect shorebirds in this region remains poorly understood. In the early 1990s, shorebird counts at over 160 wetlands across the Intermountain West provided a broad assessment of shorebird populations in the region. These counts remained the only large-scale surveys until 2022, when the Intermountain …

Integrating Space Use And Demography To Support Management Of An Endangered Alpine Ungulate, Danielle J. Berger

All Graduate Theses and Dissertations, Fall 2023 to Present

The places animals choose to live affect the food they find, the dangers they face, and the weather conditions they experience. These experiences influence whether individual animals survive and reproduce, which in turn affects the size and health of animal populations. Although scientists have long believed that animal movements play an important role in population trends, there has been limited real-world evidence showing this connection. Advances in GPS tracking technology now allow researchers to follow animals over long periods and better understand how movement influences survival. Using 20 years of GPS tracking data from the endangered Sierra Nevada bighorn sheep …

Method Validation Of The Cdc Bottle Bioassay And A Historical Record Of Polycyclic Aromatic Hydrocarbons In Glacier National Park, Evah F. Peard

All Graduate Theses and Dissertations, Fall 2023 to Present

Certain contaminants can persist in the environment for long periods of time, build up within living tissues, travel far from their origin, and harm both ecosystems and organisms. This thesis focuses on two types of contaminants: insecticides and polycyclic aromatic hydrocarbons (PAHs). Insecticides are manufactured to control pests while PAHs are found in oil and gas products and can be produced by industry, vehicle engines, and wildfires. Understanding how harmful these contaminants are and where they end up in the environment is critical for protecting environmental health.

First, I evaluated a widely used test developed by the Centers for Disease …

Faculty Perspectives On Career And Technical Education Programming For Prison And Other At-Risk Populations: Implications Of A Human Centered Design Focus, Taija R. Jackson

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this quantitative, cross-sectional, quasi-experimental study was to examine the perceptions of career and technical education (CTE) faculty regarding their familiarity with human-centered design (HCD), perceptions of the value and worth as a framework for program and curriculum design and willingness to teach in correctional education settings. The survey was administered to postsecondary CTE employed at public community and technical colleges in Utah and Colorado (N = 37). Participants were randomly assigned to either a treatment condition, in which they viewed a six-minute-long video vignette illustrating HCD in practice, or a control condition without exposure to the …

Integrated Soil-Water Processes And Irrigation Management For Agricultural Water Optimization In Semi-Arid Regions, Tejinder Singh

All Graduate Theses and Dissertations, Fall 2023 to Present

Water is one of the most important resources for agriculture in the western United States. In semi-arid regions, farmers depend on irrigation to grow crops, but water supplies are becoming less reliable because of drought, declining snowpack, groundwater depletion, and increasing competition for limited water. Improving agricultural water use is therefore not simply about applying less water. It also requires understanding where water goes after it enters a field, how long it remains available to crops, and how farmers can use that information to make better irrigation decisions. This dissertation follows water through irrigated agricultural systems to better understand how …

Assessing Ecological Integrity Of Streams Across The Western U.S., Jennifer L. Courtwright

All Graduate Theses and Dissertations, Fall 2023 to Present

Large-scale assessments of stream health (ecological integrity) are required by policies such as the U.S. Clean Water Act and provide critical information needed to properly manage public lands. Our ability to quantify the ecological condition of streams in the western U.S. and identify the causes of degraded conditions has previously been impeded by a lack of standardized large-scale datasets, high natural temporal and spatial variability of ecological attributes, and poor-quality land use data. I compiled large-scale monitoring datasets and built models to predict the values of ecological attributes (metrics) at a given site in the absence of human impacts. In …

Bridging The Gap: Exploring The Development Of Science Self-Efficacy Among Students With Learning Disabilities, Aria Hadley-Hulet

All Graduate Theses and Dissertations, Fall 2023 to Present

Students with learning disabilities are often overlooked in efforts to broaden participation in STEM. This multi-paper dissertation investigates science self-efficacy among this population through the lenses of the social model of disability and self-efficacy theory. An integrative review reveals consistently lower academic self-efficacy among students with learning disabilities and a lack of research examining their science self-efficacy specifically. Quantitative analysis of national data shows lower science self-efficacy overall, yet no differences among students enrolled in advanced science courses. A mixed-methods study further demonstrates that in inclusive school environments characterized by asset-based teacher beliefs and normalized accommodations, science self-efficacy differences disappear. …

Developing A New Uas Method For Estimating Heat Exposure On Western Us Trails, Jared Young

All Graduate Theses and Dissertations, Fall 2023 to Present

Heat exposure and the risks to human health that stem from it have been studied extensively in the context of urban and occupational settings. Less studied however, is the effect of heat exposure in a recreational setting such as on hiking trails. What makes this fact more surprising is that recreation, especially in the Western US, is extremely popular, with national parks such as Zion and Arches bringing in hundreds of thousands of visitors every year. With millions of recreationists exposed to the hazard of heat every year, it is critical that recreationists are made aware of the dangers they …

Understanding And Predicting Precipitation Characteristics In The United States Through Machine Learning, Numerical Modeling And Measurements, Cody Luther Ratterman

All Graduate Theses and Dissertations, Fall 2023 to Present

Precipitation is one of the most important yet uncertain variables in the climate system. It varies dramatically in terms of timing, accumulation, rate, and phase, depending on location, season, circulation patterns, and atmospheric conditions. Precipitation forecasts, especially snowfall, are essential to supporting drought mitigation and water management in the Intermountain West. Because rainfall and snowfall lead to opposite effects on snowpack, accurately partitioning rain and snow is important to estimate snowpack levels, winter recreation, mountain ecosystems and runoff. The research findings in this dissertation have advanced the understanding and prediction of precipitation and snowpack in the U.S. by addressing the …

Counterfactual Explanations For Time Series Classification: From Localized Perturbations To Realistic Generation, Peiyu Li

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine learning models are often used to classify signals collected over time, such as heart rhythms, movement recordings, industrial sensor measurements, and scientific observations. These models can be accurate, but they are often difficult to understand. Users may need to know not only what a model predicted, but also what would have needed to change for the model to reach a different decision.

This dissertation studies counterfactual explanations for time series data. A counterfactual explanation answers a “what-if” question. For example, if a model classifies a signal as one activity instead of another, the explanation shows how the signal would …

Strain Monitoring And Site Characterization At Birds Landing From Transmission Tower Implosions Recorded Using Das And Nodal Stations, Prajwal Panthi

All Graduate Theses and Dissertations, Fall 2023 to Present

When two old electrical transmission towers in the Sacramento River Delta in California were demolished by Pacific Gas and Electric Company, Utah State University saw an opportunity hiding inside the demolition. Because one of the towers stood close to the Sacramento River and its protective levee, they used the controlled collapse not only to monitor strains in the levee and surrounding ground, but also to learn what lied beneath the ground surface.

To capture this event, the researchers buried a 1.4-kilometer fiber optic cable along the ground and connected it to a system called Distributed Acoustic Sensing (DAS), which can …

Comparison Of Forces Generated By An Impinging Water Jet Using Numerical And Physical Experimentation, Spencer R. Young

All Graduate Theses and Dissertations, Fall 2023 to Present

When water is released from hydraulic structures such as dams water jets are formed and land on the downstream surfaces. When these jets land there is high potential for erosion or scour. Scour has the potential to compromise the structure and cause the uncontrolled release of water that can endanger downstream communities and infrastructure.

Engineers use tools including computational fluid dynamics (CFD) to inform their designs to mitigate the risk of scour. This study compares how well CFD is able to model the forces created by a water jet by comparing the results to laboratory collected physical data. To make …

The Role Of Individual Specialization In Migration Phenology And How Restored Habits Are Used By Native And Nonnative Fishes, Austin Garner

All Graduate Theses and Dissertations, Fall 2023 to Present

Native fish species around the world have declined due to habitat loss, habitat fragmentation, and the spread of non-native species. Because these problems often happen at the same time and interact, recovery efforts can stall unless they address all of the factors limiting a species' comeback. The June sucker (Chasmistes liorus), native only to Utah Lake, UT, has declined for many of these reasons, though its recovery effort has made significant progress due in large part to a successful hatchery program. Yet, the recovery efforts have not yet been able to establish a self-sustaining population in Utah Lake, …

Affective And Cognitive Factors Contributing To Male-Female Differences In Mathematics, Sarah N. Herod

All Graduate Theses and Dissertations, Fall 2023 to Present

Math differences between men and women have been studied for several decades, with original theories suggesting a biological reason for the differences and more new ones suggesting multiple factors, such as self-efficacy, anxiety, and spatial ability, may be responsible for these apparent differences. Additionally, most research into math differences between the sexes involves the use of a composite score, rather than examining the different sub-domains of math separately. The purpose of the current study was to examine the relationship between sex and math performance within the context of an individual's belief and attitudes towards math and spatial information. Seventy-one participants …

Causal Discovery In Photospheric Magnetic Field Time Series For Interpretable Solar Flare Prediction, Nathan W. Nelson

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are capable of damaging many valuable resources, including satellites, power grids, and even human lives. Being able to predict solar flares can allow for proactive measures to be taken that can prevent that damage. Many new deep learning methods for predicting solar flares have shown promise in this task, but the decisions they make are harder to explain to humans. This makes understanding why these models make mistakes difficult, which in turn makes fixing and maintaining them more challenging. We test a recent deep learning method that helps discover relationships between different measurements of the Sun as they …

The Role Of Roughness And Geometry In 2d Depth-Averaged Models: A Comparative Study Using Laboratory Flume Experiments, Adrienne Luymes Mckell

All Graduate Theses and Dissertations, Fall 2023 to Present

Hydraulic models are commonly used to predict how water moves through rivers and streams, helping engineers manage flood risk and design infrastructure such as bridges, culverts, and restoration projects. One challenge in these models is representing the effects of riverbed roughness, including features such as rocks, vegetation, and other obstacles that slow water flow.

This study investigated whether it is better to represent these roughness features in detail or to simplify them while still accounting for their effects. Laboratory measurements from a controlled channel experiment were used to create two computer models: one that included the detailed shape of the …

The Role Of Autonomy, Competence, And Relatedness In The Relationship Between Ai Use, Resilience, And Motivation Among Engineering Students, Daniel Kane

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this study was to determine how the widespread use of Artificial Intelligence (AI) influences engineering students’ motivation and resilience. Specifically, the role of autonomy, competence, and relatedness as defined in Self-Determination Theory (SDT) was assessed to determine how these basic psychological needs interact with students’ AI use and motivation or resilience. The following research questions guided the study: (1) To what extent do the three basic psychological needs defined in SDT (autonomy, competence, and relatedness) mediate the relationship between the frequency of AI use and students’ levels of motivation (on the self-determination continuum) or resilience in an …

Cadmium Biosorption By Fusarium Venenatum And Its Application In Functional Permeable Materials For Metal Removal, Bradley Lawson

All Graduate Theses and Dissertations, Fall 2023 to Present

Heavy metals are pollutants of increasing concern as continued industrialization and urbanization have escalated the discharge of these toxins into aquatic environments. Cadmium (Cd) is a metal of particular concern due to its acute toxicity and high mobility in aquatic ecosystems. Given these characteristics Cd poses significant health risks to both humans and aquatic ecosystems. The continued development of sustainable, low-cost remediation technology is imperative to manage metal pollution.

This research explores the use of fungal-based remediation systems to remove Cd from contaminated water. Living biomass of the filamentous fungus Fusarium venenatum was evaluated as a biosorbent material for Cd …

Criticality In A Heterogeneous Neutron Transport Rod Model, Samuel Kaleb Crowford

All Graduate Reports and Creative Projects, Fall 2023 to Present

This work studies the stochastic behavior of neutron populations in a one-dimensional rod model using Monte Carlo simulation. The first part of this project reproduces the computational results of Dumonteil, Horton, Kyprianou, and Zoia (2025) by independently implementing the Monte Carlo algorithm described in their article, with the asymptotic behavior of the first moment analyzed in relation to the dominant eigenvalue and adjoint eigenfunction of the neutron transport operator. The model is then extended to a heterogeneous setting by introducing a central region where fission is suppressed. A global expectation over initial positions and directions is used to estimate the …

Modeling Power Distribution Architectures And Maintaining Constant Power With Misalignment In Dynamic Wireless Charging Systems For Electric Vehicles, Mayank Chawla

All Graduate Theses and Dissertations, Fall 2023 to Present

With increasing demand for wireless power transfer systems from phone charging and medical devices, in-motion wireless charging of electric vehicles offers a unique advantage of charging the vehicle while in motion on an electrified roadway. Compared to the stationary or wired charging, electric vehicle users can significantly save time and cost with a reduction in the battery size. However, with large-scale infrastructure required for a wireless charging roadway and the driver’s ability to align with the electrified roadway, come significant challenges for the practical implementation of in-motion wireless charging systems.This dissertation aims to solve some of the problems associated with …

"Building Something Great!": Fifth-Grade Teachers Nurturing Hope Through Professional Learning Communities – A Telling Case, Matthew H. Huffaker

All Graduate Theses and Dissertations, Fall 2023 to Present

Teachers and educational leaders face numerous obstacles that can seem insurmountable but overcome through collaboration. “High-hope thinking provides a special advantage when we face obstacles in our goal attainment” (Snyder, 1994). Effective PLCs provide the fertile ground for teacher collaboration, influencing schoolwide communities and student learning (DuFour et al., 2016; Hord, 2004; van Es, 2012). Collaboratively identifying challenges and coming up with solutions with the support of others (what effective PLCs do) is an ideal setting for observing hope.

This study explored how hope is fostered among teachers during their weekly professional learning community meetings. Further, this study examined how …