Digital Commons Network^™

Quantifying The Sensitivity Of Land Use Land Cover Metrics Through Simulation Techniques, Haley Burger

All Graduate Theses and Dissertations, Fall 2023 to Present

As human activities and climate change continue to reshape our landscape, understanding how land use changes over time is becoming increasingly important. Accurate ways to track and analyze these changes are essential for governments, businesses, and communities to make informed decisions. Monitoring agricultural land is particularly critical, as shifts in land use can impact food production and environmental pollutants. One of the primary tools used in the United States to monitor agricultural land is the Cropland Data Layer (CDL), an annual map created by the United States Department of Agriculture (USDA) from satellite images. While the CDL is highly accurate, …

The Effect Of Voter Education On Behaviors In Ranked Choice Voting, Ethan G. Olsen

All Graduate Theses and Dissertations, Fall 2023 to Present

The appeal of ranked choice voting has led to its recent meteoric rise throughout America, leading to adoption in a number of cities and a handful of states, but some critics and political scientists worry about its higher difficulty potentially leading to more errors and undesirable behavior. Utilizing an experiment, I find that a short voter education video is all that is required to reduce rates of errors and ideologically inconsistent behavior, while finding null results for undervoting, possibly due to its low occurrence in the sample.

As ranked choice voting’s adoption is considered in each election cycle for jurisdictions …

Perceptions Of National Identity And Government Trust: The Effects Of Migrant Education Policies In Thailand, Kathryn Creglow

All Graduate Theses and Dissertations, Fall 2023 to Present

This study looks at how government policies that shape national identity influence people's trust in the federal government. Using Thailand as an example, it focuses on immigration policies and their effect on public trust, especially in a country with a strong sense of national identity. This research study specifically examines Thailand’s 2005 “Education for All” policy, which allowed immigrant children to attend public schools. This policy was seen by some as a challenge to national identity. The study investigates whether such policies impact how much people trust the government.

To measure this, the study compares changes in trust over for …

A Numerical Investigation Of Erection Bridging In Double-Pitched Open-Web Steel Joists, Logan Joshua Ward

All Graduate Theses and Dissertations, Fall 2023 to Present

Open-web steel joists are truss members used to support roofs and floors in steel buildings. They are commonly used because they are lightweight and inexpensive to manufacture on a large scale but have a large load carrying capacity due to their depth. Because of this depth, these joists are very unstable laterally, which is addressed by adding bridging (horizontal or diagonal) members between them to resist rotation of the joists. One of the bridging types is erection bridging, which is used to prevent a joist from buckling laterally while steel erectors are traversing it during construction.

The current erection bridging …

Evaluating The Impact Of Maximum Aero-Thermal Heating On A High-Speed Fixed-Wing Atmospheric Aircraft Optimum Trajectory, Benjamin M. Ford

All Graduate Theses and Dissertations, Fall 2023 to Present

This study explores how extreme heating affects the flight paths of hypersonic aircraft—vehicles that travel at speeds many times faster than sound. Analyzing how to fly a high-speed aircraft without overheating it can prevent structural failure while operating at maximum possible performance. The results shown in this section indicate that it is possible to operate at very high speeds in an aircraft while keeping peak vehicle temperature below our limits while saving fuel.

Groundwater-Dependent Ecosystems In Southeastern Utah: An Integrated Analysis Of Hydrology, Ecology, And Landscape Change, Colten Lay

All Graduate Reports and Creative Projects, Fall 2023 to Present

In Southeastern Utah, springs play a critical role in sustaining groundwater-dependent ecosystems (GDEs) in a semi-arid environment. However, they remain understudied and face growing threats from climate change, land use modifications, and hydrologic alterations. This study addresses knowledge gaps in spring occurrence, hydrologic function, and ecological condition by integrating field surveys, remote sensing, and geospatial analysis across multiple spatial scales. It provides a comprehensive assessment of spring hydrology, water quality, and ecological conditions using field surveys, remote sensing, and GIS analysis to establish a foundational baseline of GDE resources in the region. I applied a multi-scale monitoring approach across the …

Selected Projects In Scenic Design And Technical Direction, Ky Trupp

All Graduate Reports and Creative Projects, Fall 2023 to Present

A selection of projects in scenic design and technical direction produced by Utah State Theater involving Ky Trupp and others. Each chapter studies the design process and production process of three individual shows where Ky was the Scenic Designer or Technical Director.

Warming Of The Southern Ocean During The Paleocene-Eocene Thermal Maximum: Inferences From Foraminifera At Site U1580, Samina Anee

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Paleocene-Eocene Thermal Maximum (PETM, ~56 million years ago) represents an ancient episode of rapid global warming, offering critical insights into climate dynamics and the Earth's response to increased greenhouse gases. This project aims to quantify the magnitude of warming across the PETM at newly recovered IODP Site U1580 (Agulhas Plateau, Southern Ocean) through the analysis of Mg/Ca and δ¹⁸O ratios of planktic foraminifera. Understanding the extent of warming at Site U1580 is crucial for comprehending past climate variability and improving future climate predictions. Site U1580 is particularly well-suited to foraminiferal geochemistry because of high carbonate content throughout …

Development And Application Of Novel Apparatus For Ocean Spray In Turbulent Atmospheres, Alicyn S. Koldewyn

All Graduate Reports and Creative Projects, Fall 2023 to Present

Ocean spray droplets can have significant effects including reducing surface heating from the sun, degrading air quality, and intensifying tropical cyclones. However, quantifying these effects has been challenging due to the multiscale, chaotic nature of wave breaking and turbulent flow. This research presents the development of a novel apparatus designed to combine bubble column droplet generation with synthetic jet actuators for turbulence generation. The purpose is to demonstrate reliable bubble formation and droplet generation, air turbulence effect on droplet dynamics, and quantitative measurement and analysis of these effects. The primary goals of the apparatus include optical accessibility for high-resolution imaging, …

Validation Of Head Above And Head Submerged Hydrostatic Weighing Equations And Air Displacement Plethysmography, Axel M. Miller

All Graduate Reports and Creative Projects, Fall 2023 to Present

Traditional hydrostatic weighing (HW) involves full body submersion at residual volume (RV), which may be uncomfortable. Thus, the purpose of this study was to investigate a more comfortable way to perform this method. HW with the head above water (HW_HAW) was compared to the traditional method of HW with head below water (HW_HBW) and to another method that also measures density by displacement, air displacement plethysmography (ADP). Equivalence was tested by comparing the body fat percentage (BF%), body volume (Vb), and body density (Db) of 27 subjects (15 M, 12 F) between the three methods. Results …

Dream Pilot Project: Analysis Of Groundwater Development At Six Villages In Ethiopia, Lindsay K. Gordon

All Graduate Reports and Creative Projects, Fall 2023 to Present

This study presents a hydrogeologic assessment of the Distributed Renewable Energy Agriculture Modalities (DREAM) pilot project, an ongoing groundwater development initiative in rural Ethiopia. This project integrates solar-powered groundwater infrastructure across six villages to improve water access, agricultural productivity, and economic stability.

Fourteen production wells were installed at Murche, four at Dalle, and additional test wells at Murche, Dalle, Chefe Kora, and Huluku. Transmissivity values and the number of wells at Murche suggest that local water needs are currently being met. In contrast, fewer wells were drilled at Dalle. This reflects the high cost of well construction relative to yield, …

The Final Girl Without The Slasher: Final Girls, Gender, And Community In Psych, Cassidy Crosby

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis focuses on the “Final Girl” trope, a hallmark of slasher films of the 1970s and 1980s, as it appears in detective procedural television show Psych to analyze what changes in the trope’s usage says about broader changes in American culture. I engage with two key episodes, “Scary Sherry: Bianca’s Toast” and “Tuesday the 17^th,” which contain the program’s most direct engagements with the Final Girl trope. Ultimately, I conclude that Psych rejects the hyperindividualism embedded in the Final Girl and some of the trope’s more binary gender norms, while also failing to interrogate other aspects of …

Living Pantry: Affordable Housing And Traditional Agriculture, Alanna S. Nafziger

All Graduate Reports and Creative Projects, Fall 2023 to Present

Utah is a beautiful and unique landscape with a vibrant food history that is, as I write this in 2025, undergoing some dramatic changes in both climate and population.

The population is projected to almost double by 2065, increasing by 2.8 million people over a 50-year period. Cache Valley, in the Northern part of the state, is projected to increase its population by 93% in that same time frame (Perlich et. al., 2017).

This population growth represents a huge increase in demand for housing, but while demand grows, the market becomes less affordable, with the median home price 6.26 times …

Examining The Development Of Collective Classroom Efficacy At The Secondary Level, Bradley K. Dutson

All Graduate Theses and Dissertations, Fall 2023 to Present

How can educators develop cohesive and productive learning communities at the secondary level? Prior research has investigated how classrooms develop collective classroom efficacy (CCE) or the shared belief that, as a classroom, they can achieve their learning goals together as a community. Previous studies suggest that CCE at the elementary level is developed with a teacher acting in the role of a community organizer. The teacher employs social and academic practices which incorporate the use of relevance, relationship, and responsibility. These help to establish four key elements of developing CCE which include: 1) a positive classroom environment, (2) persistence and …

The Validation Of The Patient’S Endorsement Of The Biopsychosocial Model Of Chronic Pain (Peb) Scale In Young Adults, Mathias M. Sanyer

All Graduate Theses and Dissertations, Fall 2023 to Present

This research examined a new tool designed to measure how patients view their chronic pain. While healthcare providers increasingly recognize that chronic pain involves biological, psychological, and social factors (a "biopsychosocial approach"), no previous tool existed to assess whether patients share this perspective. This study tested the reliability and effectiveness of the Patient's Endorsement of a Biopsychosocial Model of Chronic Pain (PEB) Scale in young adults with chronic pain. Results confirmed the scale accurately measures a single, consistent concept and correlates with patients' willingness to consider new pain management approaches. Unlike in older adults, the scale didn't predict active maintenance …

An Evaluation Of Interactive Computerized Training To Teach Preservice Speech Language Pathologists To Implement Brief Multiple Stimulus Without Replacement Preference Assessments, Mattie L. Mecham

All Graduate Theses and Dissertations, Fall 2023 to Present

Positive reinforcement is often used when teaching new skills. When working with individuals with developmental disabilities, it can be difficult to determine reinforcing items. Preference assessments can be used to identify items that may function as reinforcers. A multiple stimulus without replacement preference assessment (MSWO) produces a ranking of preferred items and can be conducted quickly. Researchers have utilized interactive computerized training (ICT) to teach behavior analytic skills and procedures. The present investigation aimed to extend previous MSWO training and ICT research by developing and evaluating the effects of an MSWO ICT implemented with speech language pathology graduate students. The …

Exploring Methods For Quantifying Uncertainty In Neural Network-Based Turbulence Closures, Cody Grogan

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine Learning (ML) is a very promising field for data-driven modeling of different phenomena. In the field of Computational Fluid Dynamics (CFD), ML is an enticing alternative to traditional methods to improve the accuracy and computational efficiency of simulations. However, many ML models, like Neural Networks, don’t quantify their uncertainty or indicate their confidence in a prediction to those who wish to use them. This is especially important because the use of inaccurate ML predictions in a CFD simulation can greatly impact the validity of a simulation. However, with uncertainty quantification, an ML model can indicate to a modeler the …

Evaluating Uplift At The Leading Edge Of The Yellowstone Hotspot - A Study Of The Shoshone River Drainage, Emma Tombaugh

All Graduate Theses and Dissertations, Fall 2023 to Present

The stationary mantle plume (or hotspot) underlying the Yellowstone region has caused parts of the surrounding landscape to rise as the continental plate migrates over it. However, scientists do not fully agree on the spatial pattern of this uplift and few measurements of the landscape have been made to provide estimates of uplift rates. To better understand uplift patterns and rates, this study examines the Shoshone River, which flows across the predicted zone of highest uplift at the northeastern, leading edge of the hotspot. Digital-terrain analysis is used to measure channel steepness and field and imagery approaches are used to …

Efficacy And Social Validity Of A Modified Good Behavior Game, Milad Najafichaghabouri

All Graduate Theses and Dissertations, Fall 2023 to Present

Teachers regularly face challenging behavior from students in their classrooms. Research shows that the good behavior game (GBG) is a strategy teachers can use in their classrooms to improve student behavior. However, in practice, very few teachers choose to use this strategy in their classrooms. One reason why teachers may not use this intervention regularly is that they find some parts of the intervention to be difficult to implement in the long-term. The purpose of this study was to modify the procedures of the GBG to reduce implementation effort for teachers and assess if the intervention continues to be effective. …

Evaluating The Effects Of 3d User Interactions And Virtual Displays On Human Cognition And Perception For Immersive Analytics, Dongyun Han

All Graduate Theses and Dissertations, Fall 2023 to Present

This research investigates how virtual reality (VR) can be utilized effectively for users to explore data. Traditional data analysis typically takes place on flat, two-dimensional computer screens. In contrast, immersive technologies like VR offer a three-dimensional environment where users can engage with data more naturally and intuitively. Such immersive experiences have the potential to improve comprehension, memory, and insight during data analysis tasks. Despite this potential, several challenges remain in making immersive analytics practical and effective. Key questions include which types of 3D interaction techniques are most helpful and how accurately people perceive visual information in immersive environments. To address …

A Provable Semi-Infinite Programming Approach For Solving Dynamic Nash Games, Tyler C. Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Many engineering problems must account for the non-cooperative decisions and actions of multiple players. These problems can be modeled within a game-theoretic framework. The approach herein is to model problems as Nash games, convert them to semi-infinite programs, and leverage provable semi-infinite algorithms to solve the original problem. A particular algorithm that leverages off-the-shelf solvers is used to solve four low-dimensional benchmark problems successfully. Two types of linear quadratic dynamic games are then investigated: ones where each player’s problem is convex and ones where at least one player’s problem is nonconvex. Within each type, variations based on information structure, communication …

Improving Seasonal Precipitation Forecasts In The Western United States Through Statistical Downscaling, Bradley Vernon

All Graduate Theses and Dissertations, Fall 2023 to Present

Seasonal precipitation forecasts are essential tools for water management, especially in drought-prone areas like the Western United States. While global forecasting systems can predict precipitation months to years in advance, these forecasts are typically produced at a coarse spatial resolution due to high computational costs – especially when multiple forecast iterations, or ensemble members, are included. This coarse resolution limits their ability to capture localized weather features, such as those shaped by the complex terrain of the Intermountain West. Here, analog statistical downscaling is demonstrated as an effective approach to enhance the spatial resolution of operational seasonal forecasts provided by …

Empirical Evaluation Of Bayes Error Rate Bounds In Binary Classification, Riley May

All Graduate Theses and Dissertations, Fall 2023 to Present

Classification tasks are fundamental in statistical machine learning. In classification tasks, a general goal is to build or select a model that can correctly classify data with as few errors as possible. However, for a particular dataset, the minimal number of errors achievable is seldom zero since overlap in the data makes errors unavoidable. As a result, it is often difficult for machine learning practitioners and data scientists to know whether classification errors can be reduced through further refinement. A potential solution to this lies in the Bayes error rate (BER). The BER is the lowest error rate achievable for …

An Investigation Into The Principle Of Symmetric Criticality, Guillermo Frausto

All Graduate Theses and Dissertations, Fall 2023 to Present

In physics, symmetries help us understand complex systems by revealing conserved quantities and simplifying equations. In the context of general relativity, where spacetime is curved and dynamic, these symmetries become especially important when trying to reduce or solve the equations that govern gravitational and matter fields.

This dissertation investigates a mathematical principle known as the Principle of Symmetric Criticality (PSC), which helps determine when symmetries can be used to simplify physical theories without losing essential information. While often assumed to be valid, PSC does not always hold, and understanding when it does is critical for the reliable use of symmetry …

Intra-Stand Movement Of Balsam Woolly Adelgid (Adelges Piceae) In The Intermountain West, Michael S. Wayman

All Graduate Theses and Dissertations, Fall 2023 to Present

Balsam woolly adelgid (BWA, Adelges piceae (Ratz.)) is an invasive insect of true firs (Abies spp.). BWA has spread from initial introductions on the west coast of North America in the 1920s through the Intermountain West and has recently invaded Utah. White fir (A. concolor) and subalpine fir (A. lasiocarpa) are the two main species of concern in this region; however, subalpine fir has been found to be more susceptible to attack and subsequent damage. While long-range dispersal mechanisms and patterns are of interest for spread across regions and for predicting new infestations, very little …

Conceptions Of Climate Change Skepticism: A Phenomenographic Investigation On Perspectives From Climate Scientists And Climate Activists, Candace L. Penrod

All Graduate Theses and Dissertations, Fall 2023 to Present

This study addresses how climate change denial is understood by climate scientists and climate activists. This research also investigates what communication strategies addressing climate change denial are used by climate scientists and climate activists. Phenomenography was selected as a methodology to address the qualitative and quantitative aspects of this inquiry. Pre-recorded data from interviews with six climate scientists and six climate activists living in the Intermountain West were used as the data source. Interview transcripts were read, marked, and coded to identify how climate scientists and climate activists understood climate change denial. Five conceptions of climate change skepticism were identified …

Evaluating The Effects Of Two Key Temporal Intervals During Pavlovian Training On Conditioned Reinforcement, Gabrielle M. Sutton

All Graduate Theses and Dissertations, Fall 2023 to Present

Reinforcers are anything that increases or maintains the frequency of a behavior that precedes their occurrence. Reinforcers can be separated into two types, primary and secondary. Primary reinforcers are biologically relevant stimuli like food, water, or drugs that can influence behavior without any prior training. Secondary reinforcers are those that impact behavior through their trained relationship with a primary reinforcer, like money and tokens. For this reason, they are also known as conditioned reinforcers. Conditioned reinforcers are used in therapies and training designed to increase desirable behaviors, but they are also involved in the development and maintenance of maladaptive behaviors …

Evaluating Maternal Polar Bear Denning Habitat Along The Arctic Coastal Plain And Assessing The Potential For Noise Disturbance In Polar Bear Dens, Ethan Ducharme

All Graduate Theses and Dissertations, Fall 2023 to Present

Polar bears (Ursus Maritimus) in northern Alaska are increasingly choosing land instead of sea ice to build their maternity dens. As sea ice continues to decline due to climate change, this shift makes it more important than ever to identify and protect the areas where polar bears dig dens to give birth and raise their cubs. In the first part of my research, I used new satellite-based elevation data to map potential polar bear denning habitat across a large section of Alaska’s Arctic Coastal Plain. This technology allowed me to identify the types of sloped terrain where drifting …

Framing Conflict: How Social Media Influences Voter Opinions, May Smith

All Graduate Theses and Dissertations, Fall 2023 to Present

Social media has changed the way we learn about global events. With just a few clicks, people can see powerful images of war and humanitarian crises from around the world. But how do these images, and the way they are presented, affect how people think about political candidates? This study looks at how different kinds of social media content influence voter opinions. Using a survey experiment designed to mimic real Instagram posts, participants were shown content related to the Israel-Palestine conflict. Some posts included only text. Others added data through charts and statistics. A third group saw emotional images of …

Remote Detection Of Pest Damage And Tree Health In Tart Cherry, Christina Klara Lilligren

All Graduate Theses and Dissertations, Fall 2023 to Present

With the increasing affordability of technology, using technological advancements to assess tree health might soon become a possibility in low input crops such as tart cherry. We evaluated the ability of drone-mounted multispectral cameras, ceptometry

(canopy density), and soil conductivity meters (soil texture) to predict pest occurrence and remotely detect tree health. Pest scouting data were compared to the different technological datasets to identify the possibility of use for pest detection. While drone-mounted multispectral cameras were able to identify chlorotic trees, powdery mildew was not reliably detectable under a management threshold with current multispectral camera technology. Trees with low canopy …