Digital Commons Network^™

Optimization And Simulation Models For Integrating Social Determinants In Assessing And Optimizing The Accessibility And Efficiency Of Community Pharmacy Networks., Md Morshedul Alam

Electronic Theses and Dissertations

Community pharmacies are essential components of the healthcare system, serving not only as points of medication access but also as providers of health consultations and preventive care. However, disparities in pharmacy access persist due to a combination of geographic, socioeconomic, and behavioral factors. This dissertation develops a comprehensive methodological framework to evaluate and improve accessibility to community pharmacies, integrating optimization, choice modeling, and discrete event simulation. First, we develop an Optimal Community-Pharmacy Assignment (OCPA) model to quantify geographic accessibility across a regional population network. The model minimizes risk-adjusted travel distances between population centers and pharmacies, incorporating social determinants of health …

Crossed Stitches: Tension And Transformation In Nineteenth-Century Embroidery Samplers., Hayley Salo

Electronic Theses and Dissertations

Originally designed as practice pieces, embroidery samplers have long been studied as domestic objects and part of sewing history. Interpretations of the material and textual significance of individual samplers is less common. However, recent scholarly attention has turned to using sewing practices and objects as a means for understanding individual stitchers and their contributions to public discourse. As such, a focused study of the material and textual content of embroidery samplers furthers our understanding of the genre on its own and as a wider textile practices. Crossed Stitches is interested in the production, portability, circulation, and reception of embroidery samplers …

Rhetorical Analysis Of Kristen Bell's Articulation Of Imperfect Motherhood On Armchair Expert., Sarah J. Neff

Electronic Theses and Dissertations

This thesis explores how Kristen Bell’s articulation of imperfect motherhood, as heard on the popular podcast Armchair Expert, contributes to broader social discourses surrounding motherhood, empowering some mothers while inadvertently constraining others. Using rhetorical analysis grounded in Goffman’s dramaturgical approach, facework theory, and McGee’s theory of fragments, this study explores Bell’s discourse and performance of motherhood within the podcast medium. The podcasting medium provides a rich source for rhetorical analysis due to the long form interview content, and emotionally nuanced content, leading to a stronger connection with the audience. This is evident with the new headlines that follow Bell’s appearance …

Role Of Cardiac Ketone Body Metabolism In Myocardial Perfusion And Exercise Performance., Kara R. Gouwens

Electronic Theses and Dissertations

Cardiorespiratory fitness, a crucial determinant of overall health and a strong predictor of all-cause mortality, is largely dependent on the capacity of the cardiovascular system to deliver oxygen and nutrients. The heart, as the central pump, requires a continuous and adaptable oxygen supply, particularly during increased workload such as occurs with exercise. Impaired myocardial blood flow (MBF) in response to increased demand can lead to ischemia, limiting exercise capacity and potentially causing severe cardiac events. Interestingly, changes in myocardial metabolism and cardiac work correlate with changes in MBF. Therefore, understanding the regulation of MBF, especially the link between local cardiac …

Incarcerated Women: Gendered Rhetoric From The Outside And Reality Inside Prison Walls., Taylor Riley Geiser

Electronic Theses and Dissertations

This dissertation examines how formerly incarcerated women navigate and resist gendered media portrayals through digital platforms, focusing on the “mad” and “bad” woman tropes that shape public perceptions. Drawing on feminist rhetorical theory—particularly Royster and Kirsch’s methodological practices and Ratcliffe’s concept of rhetorical listening—this study combines Critical Discourse Analysis (CDA) of mainstream headlines with Multimodal Discourse Analysis (MDA) of TikTok content. CDA of media coverage surrounding Lori Vallow Daybell, Casey Anthony, and Andrea Yates reveals how language, imagery, and cultural logics sustain harmful binaries that portray women who commit crimes either as depraved or as excused by madness, obscuring the …

Dementia Caregiving Styles: Characterizing Dementia Caregivers Via A Novel Framework., Darby M. Simon

Electronic Theses and Dissertations

As dementia rates increase, effective family caregivers are crucial to meeting the increasing demand for dementia care. However, dementia caregiving is a demanding experience, and caregivers have varying strategies for providing care, leading to positive and negative outcomes and appraisals of their caregiving experience. Limited research explores this relationship, and extant work is qualitative with no clinical measure. This study adapted a pre-existing framework/measure from a different caregiver population (parents) to explore a) if the same framework applied to both caregiving populations and b) the associations between the styles and psychological well-being and other caregiving variables. Exploratory Factor Analysis tested …

Promoting Metacognitive Awareness Through Exploratory Learning., Ryan J. Patrick

Electronic Theses and Dissertations

Exploratory learning engages learners in novel problem solving before direct instruction. This process is designed to lead learners to experience productive failure. Productive failure, however, has been shown to benefit learners by improving the recognition of knowledge gaps, relevant problem features, and deep structures. This allows learners to better attend to relevant information during the subsequent instruction and improves conceptual understanding. This dissertation investigates the role of metacognitive awareness during exploratory learning, in attempt to identify additional metacognitive mechanisms that support exploratory learning. Two experiments tested the theory that exploratory learning promotes metacognitive awareness in exploratory learning. Groups in both …

Metabolic Regulation Of Cardiac Fibroblast Phenotype And Function., Collin Kleis Wells

Electronic Theses and Dissertations

Cardiac fibroblasts are central effectors of cardiac repair after myocardial infarction (MI). In response to signaling cues, they differentiate to a range of phenotypes with robust capacities to synthesize and secrete extracellular matrix (ECM) and signaling molecules. Although activated fibroblast phenotypes are associated with pronounced changes in metabolism, it remains unclear how the metabolic network upholds the effector functions of fibroblasts in the post-infarcted heart. Here, we identified that critical enzymes in the phosphoenolpyruvate (PEP) cycle, i.e. pyruvate kinase muscle-2 (PKM2) and phosphoenolpyruvate carboxykinase-2 (PCK2), are elevated in the heart after MI and examined their role in regulating post-MI remodeling …

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 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 …

A Computational Study On Impact Performance Of Concrete Barriers For Protecting Transportation Assets, Ashesh Pokhrel

All Graduate Theses and Dissertations, Fall 2023 to Present

Highway safety is a major concern as roads accommodate increasing numbers of vehicles, including large trucks and tractor-trailers. Concrete barriers are commonly used along highways and bridges to prevent accidents by redirecting vehicles and protecting important structures like bridge piers. However, their effectiveness depends on how well they withstand vehicle impacts, how they perform after being damaged in previous crashes, and how they protect bridge piers when space is limited. This research examines these issues using advanced computer simulations to better understand barrier performance and improve roadway safety.

The first part of this study reviews how researchers and engineers use …

Pain Acceptance In Chronic Postoperative Pain: Concept Analysis, Sajini M Thekkel, Constance M Johnson, Meagan Whisenant, Deniz Dishman

Faculty, Staff and Student Publications

Purpose: Chronic postoperative pain (CPOP) is a potential outcome of otherwise successful surgery that can persist for months, with its prevalence varied by surgical type, genetic predispositions, and psychosocial factors. Pain acceptance offers better outcomes to these patient populations by fostering a willingness to experience pain without resistance. This analysis examines how pain acceptance contributes to psychological well-being, helps reduce opioid misuse, and enhances quality of life, even in the presence of CPOP.

Design: The concept analysis approach follows Walker and Avant's framework (2019).

Methods: A literature search across PubMed, Web of Science, and CINAHL yielded 276 articles, of which …

The Global Neurodegeneration Proteomics Consortium: Biomarker And Drug Target Discovery For Common Neurodegenerative Diseases And Aging, Farhad Imam, Rowan Saloner, Jacob W Vogel, Varsha Krish, Gamal Abdel-Azim, Muhammad Ali, Lijun An, Federica Anastasi, David Bennett, Alexa Pichet Binette, Adam L Boxer, Martin Bringmann, Jeffrey M Burns, Carlos Cruchaga, Jeff L Dage, Amelia Farinas, Luigi Ferrucci, Caitlin A Finney, Mark Frasier, Oskar Hansson, Timothy J Hohman, Erik C B Johnson, Mika Kivimaki, Roxanna Korologou-Linden, Agustin Ruiz Laza, Allan I Levey, Inga Liepelt-Scarfone, Lina Lu, Niklas Mattsson-Carlgren, Lefkos T Middleton, Kwangsik Nho, Hamilton Se-Hwee Oh, Ronald C Petersen, Eric M Reiman, Oliver Robinson, Jeffrey D Rothstein, Andrew J Saykin, Artur Shvetcov, Chad Slawson, Bart Smets, Marc Suárez-Calvet, Betty M Tijms, Maarten Timmers, Fernando Vieira, Natalia Vilor-Tejedor, Pieter Jelle Visser, Keenan A Walker, Laura M Winchester, Tony Wyss-Coray, Chengran Yang, Niranjan Bose, Simon Lovestone, The Global Neurodegeneration Proteomics Consortium (Gnpc)

Faculty, Staff and Student Publications

More than 57 million people globally suffer from neurodegenerative diseases, a figure expected to double every 20 years. Despite this growing burden, there are currently no cures, and treatment options remain limited due to disease heterogeneity, prolonged preclinical and prodromal phases, poor understanding of disease mechanisms, and diagnostic challenges. Identifying novel biomarkers is crucial for improving early detection, prognosis, staging and subtyping of these conditions. High-dimensional molecular studies in biofluids ('omics') offer promise for scalable biomarker discovery, but challenges in assembling large, diverse datasets hinder progress. To address this, the Global Neurodegeneration Proteomics Consortium (GNPC)-a public-private partnership-established one of the …

Unwritten Rules: Black Utahns’ Experience With De Facto Segregation In Utah, 1940-1965, Jasmine Mercedes Lowe

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis examines life in Utah during the Jim Crow era, utilizing oral history interviews with African Americans who lived in the state between 1940 and 1965. The interviewees selected for this project describe their personal experiences with housing, employment, public spaces, medical assistance, and education discrimination.

Unveiling Insights From Complexity: Advanced Computational Techniques For High-Dimensional Medical Data, Devin P. Eddington

All Graduate Theses and Dissertations, Fall 2023 to Present

Healthcare generates vast amounts of data daily, from genetic profiles to hospital records, but much of it remains untapped due to its complexity. This dissertation develops new computational tools to unlock this data’s potential, aiming to improve patient care and medical research. Five projects tackle different challenges: Project 1 creates Deep MAGIC, a method to fill in missing genetic and image data accurately, vital for understanding diseases like cancer. Project 2 analyzes how the COVID-19 pandemic disrupted surgeries, finding a 27% drop and temporary complication rises in 2020, guiding future crisis planning. Projects 3 and 4 study kidney disease trials, …

An Optimization Study Of Multi-Orifice Synthetic Jets, Rhett T. Parry

All Graduate Theses and Dissertations, Fall 2023 to Present

From the mixing of creamer into coffee, to the dynamics of a dust storm, or smoke rising from a chimney—everything is driven by turbulent fluid motion. Experimentalists bring the complex driving mechanism that is turbulence into a laboratory setting to fundamentally understand its behavior in response to certain test parameters. Researchers may choose various drivers, or “actuators”, of fluid motion to start the turbulent regime for their applications. However, in building an entire experimental apparatus, they miss the step of ensuring that an individual driver is performing as best as possible. A common actuator used in experimental studies is a …

Water Conservation Strategies For Growing Ornamental Plants In Utah Landscapes, Jenny L. Koller

All Graduate Theses and Dissertations, Fall 2023 to Present

When early pioneers settled in Utah, they faced challenges living in a dry region with limited water. They built dams, canals, and irrigation systems by working together as a community to manage their water needs. However, adoption of European landscaping methods, farming and rapidly growing population increased water need while climate change and frequent drought reduced water supply.

Today, Utah is one of the driest states and uses more water per person than most other states in the nation. If things don't change, the state could run out of water by 2060. To address Utah's growing water challenges, this research …

Distal Impact Of Learning Trajectories On Motivational Factors In Second Language Acquisition Of Adult English Learners, Feng Zhang

All Graduate Theses and Dissertations, Fall 2023 to Present

Learning a foreign language is a long-term process sustained by learners’ motivation, self-efficacy, and self-regulation. While prior research has established that past performance influences these motivational factors, overlooking the impact of past performance on current motivational constructs. This dissertation explores how past learning performance impact current motivational factors. Using a person-centered approach, three subgroups were identified as latent learning profiles within the sample population based on their performance features: the high-performing early peak profile, the stable profile, and the rising profile. Regression models were conducted to evaluate the extent to which latent learning profiles predicted motivational variables. The results showed …

Early And Late Season Weed Control In Dormant Alfalfa, Mckenna Saige Barney

All Graduate Theses and Dissertations, Fall 2023 to Present

Hexazinone + diuron is an herbicide mix commonly used to control weeds in established alfalfa in the late fall or early spring when alfalfa is dormant. If applied outside full dormancy, this mix can cause significant crop injury. The Intermountain West’s cold weather leaves a narrow time frame for applicators to apply herbicide. To help extend the application period to when alfalfa has not yet entered complete dormancy, the burndown herbicide paraquat can be added to the tank mix. Paraquat burns back existing plant matter to prevent hexazinone + diuron from spreading throughout the plant and causing long-term crop injury. …

Metaheuristic Planning For Vehicle Fleets With Kinematic, Uncertain, And Battery Constraints, James Swedeen

All Graduate Theses and Dissertations, Fall 2023 to Present

The planning of vehicle actions and movements is becoming increasingly important in daily life. With the growing list of potential and current applications of autonomous planning, the field is faced with an ever-growing list of complications. These complications make the task of producing efficient plans increasingly difficult. This research studies and develops solutions for a few of the most important vehicle planning applications in recent years.

First, there is the planning of vehicle motion while considering the physical limitations of the vehicle. For many vehicles, for example, cars, airplanes, and boats, the biggest limitation is the inability to pan directly …

Development Of A Machine Learning Framework For An Irrigation Decision Support System, Eric Wilkening, Derek M. Heeren, Yeyin Shi, Laila A. Puntel, Guillermo R. Balboa, Abia Katimbo, Kuan Zhang, Precious Nneka Amori, Bruno Lena

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Currently used irrigation scheduling techniques often require significant human intervention and are time consuming, particularly for variable rate irrigation. This research aimed to develop a conceptual framework that incorporates disparate data sources leveraging both mechanistic and machine learning (ML) approaches. The overarching objective is to utilize the growing availability of data and technology to manage irrigation more precisely, which will minimize negative impacts of irrigation on our water resources. An initial irrigation machine learning model was proposed and tested in this study as a key component of an edge-cloud computing and federated learning decision-making framework. The specific objectives were (1) …

Geochemical And Stratigraphic Characterization Of The Morrison Formation And Cedar Mountain Formation Contact In The Island Park Quadrangle, Uintah County, Utah, Emily Mcdermott

All Graduate Theses and Dissertations, Fall 2023 to Present

The Upper Jurassic Morrison Formation and Lower Cretaceous Cedar Mountain Formation are among the richest sources of dinosaur fossils. Despite a 24-million-year gap in time (the Jurassic–Cretaceous unconformity), these formations are difficult to distinguish due to their similar rock types and colors. In Utah's Island Park quadrangle (IPQ), these formations are not separated on existing geological maps. This study focuses on identifying and understanding the formational boundary between them using field observations, stable isotope analysis, clay mineralogy, and chemical techniques such as X-ray diffraction (XRD) and X-ray fluorescence (XRF).

Unlike other areas where a conglomerate layer marks the boundary, the …

Graph-Based Machine Learning: Higher-Order Interactions, Guided Generation, And Knowledge-Graph Tools, Thomas J. Kerby

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation brings the power of graph thinking to three key challenges in modern AI, making complex data more transparent, generative design more controllable, and scholarly exploration more intuitive. First, we introduce Local CorEx, a new machine learning technique that uncovers hidden relationships among variables, making it easier to understand complex datasets without heavy computation. Next, we show how to guide the creation of new molecules by viewing the generation process itself as a walk through a "state graph," letting researchers steer outcomes toward desired chemical properties—without any extra model training. Finally, we deliver an open-source toolkit that builds interactive …

Risk Perceptions And Water Governance: Experiences Of Irrigation Companies In The Great Salt Lake Basin Of Northern Utah, United States, Bailey M. Holdaway

All Graduate Theses and Dissertations, Fall 2023 to Present

Irrigation companies are important water management entities in the Western US. However, these companies often face barriers when managing water. Particularly as the state of Utah grows and water resources are drying, there is much finger pointing at those in irrigation and agriculture for better water management. However, pointing fingers without the participation of these companies often does not lead to effective water management outcomes. Therefore, it is important to understand the role of these irrigation companies, and particularly how they are approaching water management.

I set out to understand the role of these irrigation companies, specifically in the Great …

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 …

Linearized Rigid-Body Dynamics Of Asymmetric Aircraft, Troy A. Abraham

All Graduate Theses and Dissertations, Fall 2023 to Present

Most aircraft are symmetric about their mid-plane, which permits simplifying assumptions when modeling their aerodynamic and mass properties, as well as estimating their dynamic modes. This work considers methods for modeling asymmetric aircraft, including capturing the dynamic mode characteristics that result from their asymmetric properties. While the primary focus of this work is on the dynamic mode properties of these aircraft, a significant portion of the dissertation is dedicated to modeling their aerodynamic, mass, and trimmed flight characteristics. The linearized rigid-body aircraft equations of motion used for dynamic mode estimates are developed to include the effects of asymmetries in both …

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 …

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. …

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 Embodied Social Demography For Trans And Nonbinary Workers, Jesse Ezra Shircliff

All Graduate Theses and Dissertations, Fall 2023 to Present

Recently, the separation of “sex” and “gender” has seen intense debate in public discourse, stemming from skepticism about the social sciences and the measurement and study of gender specifically. Meanwhile, the United States population is becoming more gender diverse, with roughly 1 in 200 people now identifying as trans gender or gender nonbinary (that is, as a gender that is different from that person’s sex assigned-at-birth or outside of the sex-gender binary). This growing population experiences numerous disadvantages across social life, including obstacles in one particularly important aspect of the American Dream: the right to have and hold a job. …