Digital Commons Network^™

Non-Terrestrial Colonial Security And Critical Contingency Operations, Augustine Gabriel Wesley Batten

Theses and Dissertations

Since the turn of the century, the dependence of state functionality and capability on cyber infrastructure has grown exponentially, resulting in an equally expanding list of means to exploit this dependency. Cyberattacks have demonstrated the ability to target the space industry and critical infrastructure beyond our atmosphere. The potential damage this growing threat can bring is what this research aims to prepare for and mitigate. The purpose of this research is to determine cyber-attack indicators and develop responses designed to mitigate the effects of worst-case scenarios. It is important to understand that this study included a theoretical scenario to address …

Integrating Emotional Intelligence Into Interpreter Training: A Syllabi Analysis And Curriculum Review Framework, Caroline Lynn Becker

Theses and Dissertations

This qualitative study examines how Interpreter Training Programs (ITPs) incorporate emotionalintelligence (EI) into their curricula. To examine how these competencies are addressed, this study analyzed course syllabi from accredited four-year interpreter education programs using a structured review protocol. Syllabi from Collegiate Commission on Interpreter Education- accredited programs at both public and private institutions were included. Findings indicate that EI is rarely named, explicitly taught, or formally assessed within course descriptions or assignments. While many programs include components aligned with EI domains, such as ethics instruction, supervision, cultural engagement, and reflective practice, these elements are embedded implicitly rather than framed as …

Mechanistic Investigation Of Arsenic Removal From Drinking Water Using Metal–Organic Frameworks And Granular Activated Carbon, Mousa Almousa

Theses and Dissertations

Arsenic contamination in groundwater represents a critical environmental and public health challenge due to its high toxicity and widespread occurrence in natural aquifers. Chronic exposure to arsenic, even at trace levels, is associated with severe health effects, including skin lesions and increased cancer risk. Conventional treatment technologies, such as adsorption using activated carbon or metal oxides, often suffer from limited selectivity, regeneration difficulty, and reduced efficiency under varying pH conditions. Therefore, developing advanced sorbent materials with high capacity, selectivity, and structural stability is essential for addressing arsenic pollution in decentralized water systems.Metal–organic frameworks (MOFs) have recently emerged as promising materials …

Numerical Verification Of A Gpu-Accelerated Particle-In-Cell Code For Low-Temperature Plasma Simulations, Wei Guo

Theses and Dissertations

This thesis presents the numerical verification of Comet, a GPU-accelerated Particle-in-Cell with Monte Carlo Collisions (PIC/MCC) code designed for low-temperature plasma simulations. To ensure efficient deployment across heterogeneous computing architectures, the framework leverages the Kokkos performance-portability layer for high-performance execution. Verification was conducted through a series of hierarchical stages with increasing physical complexity, benchmarking each component of the fundamental PIC/MCC simulation cycle. This structured approach establishes the numerical fidelity of the code's algorithmic building blocks prior to its application in predictive plasma research.

The first stage verifies field interpolation and particle pusher modules against canonical single-particle cases, focusing on ion …

Identifying Diet Quality Of Ultra-Processed Foods Among Student Health Professionals, Claudia Julianne Promschmidt

Theses and Dissertations

Disagreement exists in literature and media on definitions and classification ofultra-processed food (UPF) making interpretation for policy makers, consumers, and health professionals confusing. As health professionals have a large role in nutrition education, this study looked at how students enrolled in a health professional program at the University of North Dakota determine nutrient density of UPFs and non-UPFs. Researchers calculated nutrient density to classify foods into a survey. Students completing the survey had access to both the ingredient list and Nutrition Facts Panel before selecting the food as choose often, sometimes, or rarely, and then indicated which tool was used …

Machine Learning For Laminar Heat Transfer In Supercritical Fluids, Luke Holtshouser

Theses and Dissertations

In the last 10 years machine learning has become increasingly more used in the field of fluid dynamics and heat transfer. However, with this increase in activity, gaps still exist with respect to supercritical fluids and laminar flows, where laminar flow in general seems understudied. For supercritical fluids, there are many peculiar studies that are isolated to unique systems or they are obscure enough to include everything but the kitchen sink. This strategy provides no real insights into how the field can make further progress in the utilization of the technology available, or rather build-upon previous knowledge. For this reason, …

Predicting Diversity Gaps In Clinical Trials Using Digital Twin Modeling, Abigail Tubbs

Theses and Dissertations

Demographic underrepresentation in clinical trials continues to limit the external validity, equity, and generalizability of biomedical evidence. While regulatory reforms have increased the availability of aggregate demographic reporting, most existing approaches assess representation retrospectively, after recruitment has begun, offering limited support for design-stage decision-making. This dissertation presents a digital twin–based framework for prospective assessment of demographic diversity in clinical trials using trial-level metadata. The work integrates three core contributions. First, an open, reproducible, no-code extraction tool was developed to enable bulk retrieval and harmonization of baseline demographic data (race, ethnicity, sex/gender, and age) from ClinicalTrials.gov using National Clinical Trial identifiers. …

Modeling Type 2 Diabetes Progression, Hereditary Risk, And Treatment Outcomes: Integrating Prevention, Lifestyle Modifications, And Pharmacological Interventions, Grace Ebunoluwa Fatoyinbo

Theses and Dissertations

Type 2 diabetes (T2D) remains one of the most significant chronic health conditionsworldwide and continues to place pressure on healthcare systems through its long-term complications, treatment costs, and growing prevalence. The progression of T2D is influenced by multiple interacting factors, including hereditary predisposition, lifestyle behavior, treatment access, remission, relapse, and the development of complications. Because of this complexity, mathematical models can provide useful insight into disease dynamics and the possible effects of intervention strategies over time. This study develops a compartmental model for T2D progression using a system of ordinary differential equations. The population is divided into epidemiologically meaningful classes …

A Life Cycle Assessment Of Cotton And Hemp As Textile Fibers, Emalie Johnson

Theses and Dissertations

Garment consumption is on the rise. With an increase in resource use, there will beobservable impacts. This study focused on the environmental impacts from garment production, specifically from natural fibers – cotton and hemp. Using the program SimaPro, a life cycle assessment (LCA) was conducted from cradle to consumer. The LCA included fiber cultivation, textile production, and consumer use phase for a t-shirt, one made from cotton and one made from hemp. A survey was distributed among the University of North Dakota’s student and faculty population to gather data on consumer use behaviors, including shopping, laundry, and discard habits. The …

Additively Constructed Concrete Culverts (Acc), Eugene Kwabena Assuah-Damoah

Theses and Dissertations

Rural culvert systems in cold regions like North Dakota face rising replacement needs due to aging infrastructure, harsh deterioration, and limited precast supply. Additive construction with concrete (ACC) offers promise but is constrained by proprietary mix designs, limited validation for non-linear geometries such as ring-type pipes, and challenges in reinforcement integration. This study addresses these gaps through three efforts. First, a non-proprietary mix (MIX7, w/c = 0.37) using local materials achieved optimal printability (190–200 mm flow) and 28‑day strengths of 55–60 MPa; full-scale 18‑inch pipes met ASTM C76 Class II/III requirements. Second, literature shows ACC permanent formwork performance depends on …

Engineering Translational Biosensing Tools Forparkinson’S Disease, Mercedes Terry

Theses and Dissertations

Parkinson’s disease is a progressive neurodegenerative disorder characterized by motor dysfunction and early cognitive decline. Diagnosis and monitoring remain largely symptom-driven, relying on clinical scales that capture disease only after significant neurodegeneration has occurred. These assessments are inherently subjective, episodic, and insensitive to early-stage pathology, limiting both timely diagnosis and the ability to track disease progression or therapeutic response. The lack of objective, quantitative biomarkers for both molecular pathology and cognitive impairment remains a major barrier to advancing precision medicine approaches in Parkinson’s disease. This dissertation approaches Parkinson’s disease from two complementary fronts: molecular detection of alpha-synuclein pathology and quantitative …

Exploring Obstacles To Food Security Across The University Of North Dakota Student Body, Emma Patzer

Theses and Dissertations

Food insecurity (FI) is a public health concern, and college students are especially vulnerable to FI. FI has been correlated with poor academic performance, poor health behaviors, and negative physical/mental health outcomes in college students. This thesis investigates which students are most affected by FI at a major mid-western university, identifies major barriers to food security (FS) among students at the university, and describes how these barriers differ by living location. A cross-sectional survey of students (n=905) enrolled in ≥1 credits in Spring of 2025 was conducted. Unadjusted ORs and multinomial binary logistic regression were used to determine the groups …

Safety Assurance In A Collegiate Flight Program With Safety Management Systems (Sms): A Mixed-Methods Approach To Evaluating Safety Risk Control Effectiveness, Erin Dunker

Theses and Dissertations

This study examined safety assurance and the effectiveness of safety risk controls within a collegiate flight training program operating under a Safety Management System (SMS). Using a mixed-methods approach, the research integrated quantitative survey data with organizational safety performance data to evaluate how safety risk controls function across operational domains. A survey instrument, the Collegiate Aviation Safety Risk Control Effectiveness Scale (CASRICES), was developed and validated to measure perceptions of safety risk control effectiveness among respondents using Exploratory Factor Analysis (EFA), Reliability, and Construct Validity Analyses.

The EFA supported a three-factor structure consisting of Pilot Training Risk Controls, Safety Reporting …

Machine Learning Applications For Numerical Simulation Of Co2 Sequestration, Adeboye Kayode Adeyinka

Theses and Dissertations

Global CO2 emissions significantly exceed the capacity of planned sequestration projects. Among subsurface storage sites, deep saline aquifers offer the largest theoretical capacity because they occur naturally across most sedimentary basins. However, major geological uncertainties, such as permeability variations and sand continuity, complicate these projects due to sparse well data. Consequently, analyzing CO2 sequestration projects in saline aquifers require robust reservoir simulation which are unfortunately, computationally complex with long runtimes, presenting severe bottlenecks for extensive risk assessment.

Machine learning algorithms can overcome these limitations by drastically reducing computational runtimes, enabling rapid scenario testing and optimization. Despite this potential, existing literature …

Evaluation Of Geothermal Viability In Partially Abandoned And Dry Oil Wells Within The Red River Formation In Williston Basin For Repurposing Into Enhanced Geothermal Systems, Ajan Meenakshisundaram

Theses and Dissertations

Transitioning toward global decarbonization of energy resources necessitates the development of dispatchable baseload resources that leverage existing infrastructure to minimize environmental footprints and capital expenditures. This research investigates the technical and economic feasibility of repurposing unplugged and dry oil and gas wells within the Red River Formation of the Williston Basin in North Dakota for conversion into Enhanced Geothermal Systems (EGS). While immense geothermal resources exist, they are often rendered uneconomical by high drilling costs and a lack of holistic subsurface understanding at target depths. To bridge these gaps, this interdisciplinary study employs a workflow ranging from experimental physics and …

Stigma Is Committing: Public Perceptions Of Race, Substance Use, And Civil Commitment, Meliyah Anderson-Tryon

Theses and Dissertations

Civil commitment in the United States is a legal process through which individuals experiencing severe mental illness may be involuntarily admitted for psychological treatment. Despite its far-reaching consequences, public knowledge and perceptions of civil commitment remain largely underexamined. These gaps may contribute to increased stigma toward individuals with severe mental illness or those who engage in substance use. This study used a vignette-based experimental design manipulating a hypothetical individual’s race and presence or absence of past substance use. The hypothetical individual was portraying symptoms related to schizophrenia, subsequently leading to being civilly committed. Participants (N = 208) evaluated perceived dangerousness …

A Comparative Study Of Dsmc Codes For Rarefied Atmospheric Re-Entry Applications, Laina Behrenbrinker

Theses and Dissertations

Hypersonic atmospheric re-entry involves complex rarefied flow phenomena, including thermochemical non-equilibrium and plasma formation, which must be accurately predicted to assess vehicle performance and communication blackout. The Direct Simulation Monte Carlo (DSMC) method is applied to model these effects through code-to-code comparison and rarefied re-entry simulation. DSMC codes SPARTA and Comet are compared with a 2D cylinder test case to evaluate consistency in predicted flowfield quantities. This is followed by 2D and 3D axi-symmetric simulation of the Varda re-entry capsule at 78 km altitude to characterize plasma formation. 2D cylinder results show agreement in translational and rotational temperature and neutral …

Wifi-Based Teleoperation System For A 3d-Printed Rc Car, Manvel Beaver

Theses and Dissertations

In the field of autonomous vehicle (AV) research, developers often face a significant gap between low-power hobbyist kits and cost-prohibitive industrial platforms. This thesis presents the design, integration, and validation of "Das Mueller," a high-performance, 1/10th-scale unmanned ground vehicle (UGV) designed to provide a transparent and cost-effective testbed for neural network development. By bridging the interoperability gap between the Donkey Car software framework and the 3D-printable Tarmo5 mechanical chassis, this project establishes a modular architecture centered on the NVIDIA Jetson Orin NX single-board computer.

The research utilizes a Model-Based Systems Engineering (MBSE) approach and rapid prototyping to address critical challenges …

A Privacy-Preserving, Ai-Driven Framework For Bathroom Activity Monitoring And Health Recommendation In Elderly Care, Collins Poku Obeng

Theses and Dissertations

The rapid aging of the global population necessitates scalable, non-invasive solutions, for monitoring Activities of Daily Living (ADLs) to detect early signs of health decline. This thesis presents a novel, end-to-end framework for monitoring bathroom activities—specifically bathing, toileting, and oral hygiene—using wearable sensors, machine learning and Agentic Artificial Intelligence (AI). The research addresses three critical gaps: the lack of granular activity recognition in privacy-sensitive spaces, the need for personalized health insights without manual logging, and the cybersecurity risks inherent in deploying AI in healthcare. First, algorithms utilizing wearable humidity and accelerometer sensor data were developed to classify hygiene behaviors with …

Strengthening Teacher Retention Through Strategic Onboarding, Stacey Eger-Converse

Theses and Dissertations

The United States education system is currently facing a critical staffing crisis characterized by dwindling enrollment in teacher preparation programs and alarming rates of voluntary attrition. Each school year, school districts report difficulties filling certified positions. This cycle of departure incurs staggering fiscal costs and creates a "recursive loop" where high turnover leads to lower student performance and community dissatisfaction, which further drives teacher exits. While most new teachers participate in induction programs, districts continue to lose approximately half of their new hires, suggesting that current support structures are insufficient. This research addresses a significant gap in the literature: the …

Spirituality And Well-Being Among Native College Students, Emma Reese Smith

Theses and Dissertations

In the current literature surrounding spirituality, definitions and conceptualizations of the construct differ. Researchers have proposed common themes of spirituality–self-awareness, interconnectedness to the world, and a relationship to a higher power or greater purpose (Hamilton & Jackson, 1998). While definitions of spirituality and how it is operationalized vary across studies, the current view in the field is that spirituality has positive outcomes on those who practice it, including their overall degree of well-being. While these positive effects have been showcased in the literature, due to the influence of western Christian perspectives on many measures of spirituality, there are methodological issues …

Filling The Gaps: Rural-Remote High School Teachers’ Perceptions Of Professional Training In Student Mental Health Preparedness, Angela N. Muhs

Theses and Dissertations

Rural-remote high school teachers are frequently the first to notice and respond to student mental health concerns, yet they operate within communities characterized by significant shortages in mental health providers. Access to professional mental health services in these settings remains persistently limited, placing considerable responsibility on teachers who may lack adequate preparation. This study employed an interpretive case study design to qualitatively examine how rural-remote high school teachers in North Dakota perceive their professional training and overall preparedness in addressing student mental health concerns. Twelve licensed teachers, whose experience ranged from six months to 33 years, participated in in-depth interviews. …

Studying The Hidden Heat: A Theoretical Approach To Better Understanding The Thermal Conditions Of The Yellowstone Volcano In Wyoming, Usa, Daniel Burke Brunson

Theses and Dissertations

Using the spatiotemporal record of the 2.1–0 Ma ignimbrite flare-up of the Yellowstone Plateau Volcanic Field (YPVF) as a proxy for batholith formation at depth, this dissertation develops and applies the Finite Difference Heat Flow Simulation (FDHFS) program to model crustal thermal evolution beneath the supervolcano. FDHFS, a modular C++ numerical simulator, solves the transient heat equation incorporating variable thermal conductivity, radiogenic heat production, and directional advection in three-dimensional Cartesian grids. Validation against analytical benchmarks and seafloor-spreading analogs confirms its fidelity for combined conduction-advection processes in heterogeneous crustal settings.

High-resolution volume–time analysis of major ignimbrite pulses (Huckleberry Ridge, Mesa Falls, …

An Environmental Systems Engineering Framework For The United States Space Force: Multi-Objective Optimization Of Co2 Emissions And Biodiversity Trade-Offs, Julio Roberto Pinto Covelli

Theses and Dissertations

The increasing demand for sustainable defense operations has prompted the US Space Force to explore advanced strategies that reduce carbon emissions and preserve biodiversity across its installations. This dissertation proposes a scalable systems-engineering framework that quantitatively integrates CO₂ emissions modeling and ecological simulation at RAF Feltwell and RAF Lakenheath, two strategically signi?cant installations with notable ecological value. Using toolsincluding Python, MATLAB, ArcGIS, and InVEST, this research models emissions and habitat quality under various operational scenarios. The study incorporates engineering performance metrics, including emissions intensity, resilience indicators, and energy efficiency rates, to inform trade-off modeling for real-time mission and environmental decision-making. …

Thriving Within Digital Learning Courses: Examining The Influence Of Interactions In Kinesiology Undergraduate Students, Jimmy J. Morin

Theses and Dissertations

The expansion of online and hybrid education has reshaped higher education, particularly in applied fields such as kinesiology that emphasize hands-on learning. Despite this growth, limited research has examined how specific interaction types (academic, social, and deeper life) contribute to student thriving in digital environments. This dissertation explored how interactions with faculty, staff, and peers influence holistic student success in online and hybrid kinesiology programs utilizing a three-paper dissertation approach to address this gap through complementary methods. Paper 1 synthesizes existing literature on student interactions and thriving in digital learning contexts. Paper 2 uses one-way ANOVA and ANCOVA to examine …

Critical Minerals Recovery From Oil And Gas Fields Produced Water In The Bakken Formation, North Dakota, Md Jakaria

Theses and Dissertations

The growing demand for critical minerals essential to clean energy technologies presents an opportunity to transform oilfield produced water (PW) – traditionally treated as waste – into a valuable resource. This dissertation investigates the recovery potential of lithium, salts, and other critical elements from produced water in the Bakken Formation, North Dakota, and evaluates the economic feasibility of integrating such recovery processes into existing petroleum operations. Comprehensive geochemical analyses were conducted on samples collected throughout the Bakken, revealing total dissolved solids (TDS) ranging from 46,815 to 327,714 ppm and lithium concentrations exceeding 200 ppm in several wells, indicating economically recoverable …

The Primary Care Experiences Of American Indian Patients Diagnosed With Opioid Use Disorder (Oud), Frank Johnson Jr.

Theses and Dissertations

This study utilized descriptive phenomenology to describe the lived experiences of AmericanIndian patients diagnosed with opioid use disorder (OUD), when they visit their primary care provider. The specific aims were to: 1) describe what was beneficial when visiting their provider; 2) describe what was detrimental when visiting their provider; and 3) provide recommendations for improving primary care services. Twelve participants were interviewed and the essence of the phenomenon emerged as “the interaction between the provider and patient”. A model was created. The constituents of the essence were beneficial interactions and detrimental interactions. The major themes that emerged from beneficial interactions …

The Speech, Language, And Feeding Development Of One Child With Wiedemann–Steiner Syndrome, Alyssa Ann Erickson

Theses and Dissertations

This thesis examines the longitudinal speech, language, and feeding development of a child with Wiedemann–Steiner syndrome (WSS) from birth to age 10. The study aimed to characterize developmental patterns, identify strengths and challenges, and evaluate changes over time within the context of ongoing speech-language intervention. A qualitative longitudinal case study design was used, combining retrospective review of medical, therapeutic, and educational records with direct clinical assessment at age 10. Measures included the Oral and Written Language Scales–Second Edition (OWLS-II)), a spontaneous language sample, a phonemic inventory, a Childhood Apraxia of Speech screening, a caregiver feeding questionnaire, and a clinical feeding …

Body And Blood: The Black Catholic Imagination In Toni Morrison's Novels, Allison Schneider

FCRH Honors Program Theses

Religion was a powerful shaping force in Toni Morrison’s life, so it should come as little surprise that it shaped her art, as well. From the personal to the academic, her religious experiences deeply inspired her writing, and the spiritual dimension of her work has become a prominent topic among Morrison scholars. Despite a vast body of research dedicated to the religious in her novels, the prevalence of Catholic themes in Morrison’s novels remains largely unexplored. Born and raised in Lorain, Ohio, Morrison grew up surrounded by different faith traditions. Her mother belonged to the African Methodist Episcopal (AME) Church, …

A "Felon" In The White House: A Study Of The 2024 Election And The Racialized Violence Of The Word "Felon" In American Politics, Val Arnold

FCRH Honors Program Theses

One of the campaign strategies pursued by the Democratic Party in the 2024 presidential election was the use of a felon-centered discourse when discussing Donald Trump. Through the use of such discursive strategies, the Democratic Party attempted to evoke the sense of fear typically associated with discussions of crime, hoping to make voters associate the “fear” with Trump, a white man. In the media, the language used in speeches and advertising campaigns serves as a powerful tool. The current literature discusses how language operates as a “representational system,” and ultimately, words serve to give meaning. Although many articles separately discuss …