Digital Commons Network^™

Drivers And Consequences Of Changes In Nectar Microbiome Composition Across Spatial And Biological Scales, Daniel A. Barker

Electronic Theses and Dissertations

Microbial communities inhabiting floral nectar, known as the nectar microbiome, are important mediators of plant-pollinator interactions. However, the ecological and environmental factors that shape the composition of these microbial communities remain poorly understood. While previous studies have examined the effects of a few microbial groups, typically independent of one another, on one plant or pollinator species, this dissertation takes a wide-scale approach to explore how abiotic conditions and biotic interaction’s structure microbial communities within floral nectar. Furthermore, I also quantify how variation in microbial richness and identity influences pollinator behavior and plant reproductive success.

This dissertation shows that microbial abundance …

Reentry For Formerly Incarcerated Individuals: A Focus On Workforce Reentry And Recidivism In Appalachia, Margaret E. Francisco

Electronic Theses and Dissertations

Formerly incarcerated individuals face challenges to successful reentry, a critical component of reducing recidivism and improving public health outcomes. These challenges are particularly acute in rural Appalachia, where structural disadvantages such as limited economic opportunities, healthcare access, and public transportation intersect with stigma and systemic barriers related to prior incarceration. This dissertation addresses these gaps through a mixed-methods examination of reentry and recidivism, grounded in public health frameworks and focused on the unique context of rural Appalachia.

This work includes three studies. First, a PRISMA-guided systematic review synthesized qualitative research on barriers and facilitators to employment following incarceration. Findings highlighted …

Electrochemical And Electrocatalytic Properties Of Screen-Printable Carbon Inks Featuring Pyridinic Nitrogen-Containing Polymeric Binder, Albert Sam Junior

Electronic Theses and Dissertations

Screen-printable conductive inks have been widely applied to prepare electrodes for electrochemical sensing. These inks generally consist of conductive metal or carbon particles, solvents, and polymeric binders. Low-cost, carbon-based, screen-printable conductive inks are especially popular. However, screen-printed carbon electrodes (SPCEs) must often be modified after they are printed to impart the necessary characteristics (e.g., sensitivity, selectivity, stability) for the desired application. For example, nitrogen-doping of SPCEs, especially in ways that introduce pyridinic or pyrrolic nitrogen species, can impart electrocatalytic properties towards reduction of O₂, H₂O₂, and CO₂. While our previous work done …

Raptors As Secondary Dispersers Of Mycorrhizal Fungal Spores, Joseph Anderson

Electronic Theses and Dissertations

Animals aid fungal dispersal by consuming fruiting bodies (e.g., truffles) and depositing spores elsewhere. Predators can act as secondary dispersers by preying on small mammals that eat truffles, although it is unclear how this dispersal may vary among species of raptors (hawks and owls) and fungal taxa. We experimentally fed four truffle taxa (with spores varying in size and wall thickness) to six raptor species (with differing gut morphology and acidity) to assess how spore viability and retention time may change between raptor casts and feces. Viability in smaller spores was more negatively affected by acidity compared to larger spores …

Hierarchy In Sensation: Exploring The 40 Hz Auditory Steady State Synchrony In The Primary Auditory And Prefrontal Association Cortices, Deepshila Gautam

Electronic Theses and Dissertations

Auditory processing begins in the cochlea and ascends through brainstem relays to the cortex, where sound features with increasing complexity are encoded. The 40 Hz auditory steady-state response (ASSR) reflects induced gamma synchrony shaped by local cortical circuit dynamics. Disrupted 40 Hz ASSR is a consistent finding in schizophrenia, linked to N-methyl-D-aspartate receptor (NMDAR) hypofunction in inhibitory interneurons, making it a promising translational biomarker. While multiple ASSR generators have been identified, it is not known if these are redundant or represent unique activity. This dissertation investigates regional differences in 40 Hz ASSR across two principal generators: the primary auditory cortex …

Experiences Of Discrimination During Pregnancy Predict Altered Neonatal Hair Cortisol At Birth, Kimberly D'Anna-Hernandez, Lillybelle K. Deer, Özlü Aran, Kenia M. Rivera, Melissa Nevarez-Brewster, Jenalee R. Doom, Benjamin L. Hankin, M. Camille Hoffman, Elysia Poggi Davis

Psychology Faculty Research and Publications

Objective

Prenatal glucocorticoids (e.g., cortisol) are a widely proposed prenatal programming mechanism, yet few studies directly measure fetal cortisol. Neonatal hair provides a non-invasive method to assess fetal cortisol. The current studies test the association between maternal exposure to discrimination and fetal cortisol, as measured in neonatal hair, in two cohorts.

Methods

Study 1: Pregnant individuals (N = 65) and their neonates (61.8 % female) participated in study 1 between 2017 and 2021. Participants self-identified as Asian (6.2 %), Black (21.5 %), Latinx (35.4 %), Multiracial or Multiethnic (35.4 %), and Native Hawaiian or Pacific Islander (1.5 %). Experiences …

Farming With Data: Tracing Critical Tensions Using Data Science For Food Justice, Marc Sager, Maximilan Sherard, Anthony Petrosino

Publications

In this manuscript, we explore the intersection of artificial intelligence (AI) and equitable learning in higher education, focusing on data science as a subset of AI and social justice as the core theme of equity. Our investigation sheds light on the nuanced tensions inherent in employing data science for social justice. Rooted in situated perspectives of learning and consequential learning, our study employs an instrumental case-study methodology and analysis techniques from interaction and conversation analysis. Collaborating with three undergraduate students and an urban farm, the students used data science practices to highlight inequities surrounding food justice and access to food. …

An Electronic Trigger To Detect Telemedicine-Related Diagnostic Errors, Hardeep Singh

Faculty, Staff and Students Publications

Introduction

Methods

The Global Neurodegeneration Proteomics Consortium: Biomarker And Drug Target Discovery For Common Neurodegenerative Diseases And Aging, 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 …

Pain Acceptance In Chronic Postoperative Pain: Concept Analysis

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 …

Multi-Crop Systems And Crop-Switching Strategies To Enhance Water Use Efficiency And Climate Resilience In Arid Agricultural Regions, Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Agriculture in the Lower Colorado River (LCR) region faces mounting challenges from climate change, arid conditions, and water scarcity. This study evaluates water use efficiency (WUEc) and crop-switching strategies under SSP2-4.5 and SSP5-8.5 scenarios for 2025–2049, 2050–2074, and 2075–2099. Using historical data, climatic drivers such as temperature and precipitation were analyzed for their influence on key crops, including durum wheat, winter wheat, and corn. Results show SSP2-4.5 supports water use reductions up to 16%, stable profits (80–90%), and modest calorie increases (up to 15%), while SSP5-8.5 poses severe challenges, with water use reductions of 2–5%, profits dropping to around 20%, …

Explainable Machine Learning Surrogate Modeling For Exit Gradient Prediction In Hydraulic Structures Using Numerical Simulations, Prayas Rath, Jianting Zhu, Kevin M. Befus

Geosciences Faculty Publications and Presentations

Accurate prediction of exit gradients is essential for designing impounding hydraulic structures, such as dams and levees, to mitigate seepage-induced piping failures. Conventional analytical methods often neglect boundary effects and anisotropy, limiting their applicability in complex geological settings. This study develops an XGBoost-based machine learning surrogate model trained and tested on 8,000 MODFLOW numerical simulations to predict exit gradients under varying hydraulic and geological conditions. The data set covers numerous parameters, including anisotropy, head differences, structure width, cut-off wall depth, aquifer thickness, and uninterrupted riverbed length. The coefficient of determination for test data is 0.88, demonstrating reliable exit gradient prediction …

A Multi-Source Remote Sensing-Based Geocommunication Tool For Global Flood Monitoring And Management, Ebrahim Hamidi, Brad Peter, Hamed Moftakhari, Hamid Moradkhani

Geosciences Faculty Publications and Presentations

Global warming is expected to increase the frequency of extreme flooding, making rapid and accurate flood mapping crucial for effective risk assessment. Many governmental agencies and organizations are developing flood risk assessment tools; however, due to the lack of observational records, some rely on probabilistic generated data, uncalibrated simulations, or terrain-based methods, all of which are subject to various types of uncertainty. Although remote sensing provides valuable flood data with global coverage, single-source reliance is constrained by satellite revisit rates, resolution, weather conditions, and sensor limitations. To address these challenges, this study introduces a user-friendly application on the Google Earth …

An Examination Of How Black Church Leaders Support The Long-Term Impact Of Trauma In The Black Community: A Qualitative Transcendental Phenomenological Study, Loretha J. Mccullough

Education Doctoral

The prevalence of mental illness due to untreated childhood trauma continues to be a concern, particularly for Black people. The consequence of obtaining formal treatment is perceived to be discriminatory and stigmatizing in the Black culture. Instead, the preferred method of treatment is religious coping. The purpose of this transcendental phenomenological study was to examine how Black clergy leaders support the long-term impact of trauma in the Black community. The primary source of data collection was semi-structured interviews. These interviews captured the essence of how Black clergy leaders described their preparedness to effectively advise, and counsel congregants on mental health …

The Effects Of Temperature And Cardiotonic Steroids On Cardiac Function And Metabolism In Snakes, Hannah Wilson

All Graduate Theses and Dissertations, Fall 2023 to Present

The function of the heart provides a window into the physiology of vertebrates and a means of evaluating their response to the stresses imposed by diverse activities. I developed a miniaturized instrument to record electrocardiograms (ECGs), using open-source Arduino technology, that a snake can wear as a backpack. The backpack can also be used when the snake is in a metabolic chamber, to record the metabolic rate and ECG simultaneously. I first used the ECG backpack to record the physiology of snakes under different temperature conditions, to verify that the system worked as expected. the backpack was then used on …

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 …

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 …

Cultural Adaptation Of The Act Guide For Immigrant Community Members, José Manuel González Vera

All Graduate Theses and Dissertations, Fall 2023 to Present

Undocumented immigrants face many challenges that can harm their mental health, such as anti- immigrant policies, the threat of deportation, and difficulty accessing mental health care. Online mental health programs can make mental health care more accessible. The ACT Guide is a self-paced online tool designed to help with anxiety and depression. While it has mainly been used by white college students, similar ACT-based programs have been effective for diverse communities worldwide. The first paper was focused on gathering feedback from community members and Latine psychologists. This was done in partnership with United We Dream (UWD) and the Latinx Immigrant …

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.

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 …

Evaluating Cyanotoxins In Surface Water And Aerosols Near Utah Lake, Dylan R. Mcpeake

All Graduate Theses and Dissertations, Fall 2023 to Present

Utah Lake is a freshwater lake in Utah County near Provo, Utah. It is the third- largest lake in Utah and is important for recreation and local businesses. However, from June to October, the lake often has cyanobacteria harmful algal blooms (cHABs), which contain a toxin called cyanotoxin. These toxins can be dangerous to people who come into contact with the water. Government agencies regularly check for cHABs and warn people when the water is unsafe for activities like swimming. Collecting water samples to test for cHABs can be risky because it can possibly result in direct contact with the …

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. …

Adapting To Change In Amenity-Oriented Communities: Innovative Strategies For Shifting Social And Environmental Needs, Emma L. R. Epperson

All Graduate Theses and Dissertations, Fall 2023 to Present

Amenity-oriented communities are places with significant and desirable natural amenities that are highly visited and plentiful within the Intermountain West. These high rates of visitation create complex challenges such as congestion in recreation spaces and in towns and increase costs of living. These communities are typically rural and often do not have the resources, funding, or infrastructure to combat these challenges. Although tourists provide financial stability and other amenities to these towns, local wellbeing is highly impacted. Outdoor recreation and the nature connections derived from outdoor experiences are major contributors to wellbeing in amenity communities. This research investigates the changes …

Optimal Distributed Energy Resource Control And Scheduling In A Microgrid Framework, Timothy M. Dodge

All Graduate Theses and Dissertations, Fall 2023 to Present

As we use more renewable energy, such as solar power, and add new devices, such as electric vehicle chargers and battery storage, to our buildings, the management of electricity becomes more complex. These local energy sources and devices can form small "microgrids" that need careful coordination to work efficiently with the main power grid. The system figures out the best times to use, store or charge different devices (such as batteries and EVs) to avoid costly, high electricity demand spikes and help stabilize the main power grid, especially when asked by the utility company. A major part of this work …

Analysis Of Thrust Performance And Noise Generation Of Uam Composite Propellers Fabricated Using Composite-Based Additive Manufacturing, Samiul Alam

All Graduate Theses and Dissertations, Fall 2023 to Present

Urban air mobility (UAM) is an emerging transportation concept that uses lightweight, efficient aircraft for transporting goods and passengers and performing other logistical activities. One of the biggest challenges in developing UAM from a structural perspective is manufacturing strong and reliable propellers that are lightweight and durable. Traditional manufacturing methods for composite propellers are expensive, time-consuming, and difficult to scale. This study explores a new approach using Composite-Based Additive Manufacturing (CBAM) to produce high-performance propellers more efficiently. CBAM allows for the fabrication of strong, lightweight composite propellers using short manufacturing lead times. However, one challenge with this technique is that …

The Recreation Opportunity Spectrum In Practice: A Classification Of Visitors And Sites In The Roaring Fork Valley, Colorado, Usa, Jessica Bruck

All Graduate Theses and Dissertations, Fall 2023 to Present

Researchers and public land managers continue to investigate what motivates visitors to recreate and how to best sustain environmental conditions to provide for these recreation demands and support conservation goals. Much recreation research has successfully identified visitor motivations at a single recreation area (spatial scale), but few studies broadly assess the manifestation of visitor motivations at an array of recreation areas that present unique recreation experience opportunities. Additionally, it is known that there are a diversity of visitor motivations and preferences, which presents a complex challenge to public land managers who must ensure that a diversity of recreation opportunities are …

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. …

Veils Of Oppression: An Exploration Of Paul Fitzsimmons Eve And His Impact On Enslaved Black Women's Lives, Zoe'swanna K. Mcgee

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis contributes to the ongoing study of gender, race, and medicine in the United States, focusing on Dr. Paul Fitzsimmons Eve and his practices. By examining the experiences of enslaved black women subjected to his surgical procedures and experiments, medical racism, harm, and exploitation become visible.

From Supercomputers To Desktops: An Interactive And Portable System For Particle In Cell Simulation And Visualization Using Commodity Hardware, Kim Peterson

All Graduate Theses and Dissertations, Fall 2023 to Present

Generating and analyzing visual representations of simulation data in real time (i.e., during execution), has become increasingly important for handling the complexity and scale of modern computational models. Traditionally, this approach has been limited to High-Performance Computing (HPC) environments, leaving some researchers, students and educators without resources to explore cutting-edge simulations and analyses. This work attempts to show that powerful scientific simulations and real-time analysis can be made available by using more easily obtained commodity hardware. This approach may enable a broader participation in the scientific computing discovery process.

In this paper, we explore how advanced simulation and visualization frameworks …

Exploring Biotic And Abiotic Drivers Of Ecosystem Properties: The Influence Of Waterbirds And Photodegradation On Wetland Ecosystems, Lindsay Miller

All Graduate Theses and Dissertations, Fall 2023 to Present

Wetlands provide a wide range of valuable ecosystem services: these are benefits from the environment that support human well-being, such as water filtration, fish and bird habitat, and shoreline protection. Despite their importance, wetlands are among the most threatened ecosystems, facing increasing pressure from natural and human activities. To better predict the future of wetlands and guide effective management and restoration practices, we need to understand the various forces shaping their ecological properties. In this thesis, we examined the influence of two forces: waterbirds and photodegradation (the process by which sunlight breaks down plant material). To explore each of these …