Digital Commons Network^™

Reducing Structural Barriers In Teacher Preparation: An Improvement Science Study Of A Year-Long Residency Model In Rural Nevada, Brian Zeiszler

Theses and Dissertations

Teacher shortages in Nevada, particularly in rural school districts, have been exacerbated by structural barriers within teacher preparation programs that limit candidate progression to graduation and licensure. This study examines the Teacher Education Program (TEP) at Great Basin College (GBC) as a case to identify these barriers and evaluate the implementation of a year-long teacher residency model as a strategy for improvement. Guided by institutional theory, situated learning theory, and constructivism, this study conceptualizes candidate challenges as systemic rather than individual, focusing on how program structures influence access, persistence, and readiness for licensure.Using a qualitative-dominant mixed-methods case study design, Artifact …

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, …

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 …

Analyzing Uav Propeller Performance At Various Advance Ratios Using Wind Tunnel Testing And Cfd, Nicholas Holte

Theses and Dissertations

A computational fluid dynamics (CFD) procedure is developed in this thesis to predict the performance parameters of small-scale unmanned aerial vehicle (UAV) propellers and to validate the results against experimental data over various advance ratios. The commercially available Ansys Fluent® software (version 24.2) was used to simulate 19-inch and 14-inch Advanced Precision Composites (APC) Thin Electric propellers each with pitches of 12 inches per revolution. The simulation results were compared to data collected in open-atmosphere wind generator experiments at the University of North Dakota (UND) and also to experimental wind tunnel data from the University of Illinois at Urbana-Champaign (UIUC). …

Beyond The Manual: Training Troubleshooting Skills Through Augmented Reality, Lawrence Allen Smith Jr.

Theses and Dissertations

Many industrial maintenance departments implement and utilize Augmented Reality Technology (ART) and Augmented Reality Technical Training (ARTT) in their day-to-day operations. This study aims to examine technicians' troubleshooting skills by exploring two main questions: (1) how these skills are impacted by Cognitive Load Theory (CLT), and (2) how they are influenced by using either paper manuals or ARTT manuals. The research will compare the effects of traditional paper manuals and ARTT manuals on the learning outcomes of troubleshooters. The measurements of learning outcomes will include cognitive ability, professional specific knowledge, and skill retention. Keywords: augmented reality (AR), industrial maintenance, augmented …

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 …

Techno-Economic Analysis And Density Functional Theory Modeling Of Hydrogen Fuel Cells With Platinum-Based Catalysts For Effective Deployment In Long-Range Electric Vehicles, Thomas Cheekwang Yap

Theses and Dissertations

The transition to sustainable transportation is constrained by carbon emissions and fossil fuel dependence. Hydrogen fuel cells (HFCs), particularly those utilizing platinum-based catalysts, offer high efficiency and suitability for long-range electric vehicles (EVs). However, the high cost and durability limitations of platinum catalysts remain major barriers to large-scale deployment.

This study integrates techno-economic analysis (TEA) with density functional theory (DFT) modeling to evaluate cost–performance trade-offs of platinum-based catalysts for long-range hydrogen fuel cell vehicles. DFT simulations were conducted to assess platinum alloy compositions and oxygen reduction reaction activity. These performance metrics were incorporated into a MATLAB-based TEA framework to quantify …

Open Chromatin-Guided Analysis Of Cell-Free Dna For Inferring Regulatory Landscapes In Cancer Detection, Monitoring, And Therapeutic Response, Sakuntha Devaka Gunarathna

Theses and Dissertations

Conventional cancer diagnosis and monitoring rely on imaging and tissue biopsies. Imaging is constrained by resolution, while biopsies are invasive, limited in capturing tumor heterogeneity, and challenging to perform repeatedly over time. Liquid biopsy has emerged as a minimally invasive alternative that enables real-time assessment of tumor-derived material in circulation. Among its components, cell-free DNA (cfDNA) has gained significant attention as a promising biomarker for cancer detection and disease monitoring. However, most current cfDNA approaches rely on mutation- and methylation-based signals, which, while informative, can be limited by low tumor fraction, biological heterogeneity, and reduced sensitivity in early-stage disease. In …

Climate Messages In An Ai-Integrated Experiment: Interpretive Divergence, Policy Support, And A New Resonance Consistency Framework, Jayme Colosimo

Theses and Dissertations

This dissertation examined how environmental frames—particularly “Mother Earth” and “Mother Nature”—influence public support for climate policy and how these effects differ across demographic groups. Using a mixed-methods explanatory sequential design, the study executed a media survey experiment (N = 470) followed by semi-structured expert interviews to assess responses to two primes using a conventional corporate media message, and a message with similar content that was generated by Artificial Intelligence (AI).

Quantitative findings showed that these metaphors generated uneven and sometimes divergent priming effects. Some groups—most notably White male Republicans—reported higher support for environmental policy under the conventional media prime. Under …

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. …

Lidar Datasets For Development And Testing Of Preprocessing And Artificial Intelligence Damage Detection Of Alaskan Arctic Roads, Naima Kaabouch, Artificial Intelligence Research Center

Datasets

This data was primarily used for the development and testing of preprocessing and artificial intelligence damage detection algorithms for Alaskan arctic roads. They provide a high-resolution, geospatial scan of almost 95 kilometers of Arctic roadways along the Dalton, Steese, and Nome Highways in Alaska. The data used was collected using a ground vehicle and uncrewed aircraft mounted LiDAR sensors between 2022 and 2024. The dataset provides a spatial resolution exceeding 300 pts/m2 and < 2 cm vertical accuracy with a total data volume just over 16GB. The data is broken into three regions including Nome, Prudhoe Bay, and Yukon. Each region contains multiple datasets representing the reference output for multiple stages of the processing including slicing into 100m segments, segmentation of the surrounding non-road data, and filtering the remaining noise/objects above the roads surface. Damage was also identified, categorized, and labeled within the Nome region due to the extensive damage from Typhoon Merbok.

The Extent To Which Online Symptom Searching Predicts Health Anxiety Among Adults, Lakelyn Jonell

Psychology Student Publications

The internet has the potential to provide inaccurate, misleading and alarming information. Individuals may begin to hyper fixate on their symptoms and overall health when being provided with worse-case scenario answers. This experience can lead an individual to develop health anxiety, a condition characterized by excessive fear and worry due to a perceived threat to individuals health.

Und Leads Outreach Event Posters, University Of North Dakota

LEADS Implementation Documents

Poster materials prepared for the March 2026 UND LEADS outreach event. The presentation supports LEADS storytelling and campus engagement by presenting visual materials connected to UND LEADS implementation and the plan’s core values.

Und Leads Event Stories: Service, University Of North Dakota

LEADS Implementation Documents

No abstract provided.

The Benefits Of Glucagon-Like Peptide 1 Agonists In Adult Women With Polycystic Ovary Syndrome, Bethany A. Johnson

Nursing Capstones

Background: PCOS is the most common endocrinopathy in women of reproductive age, affecting 5-6 million women in the United States. Symptoms include hirsutism, acne, hormone imbalances, menstrual irregularity, obesity, infertility, hypertension, and hyperlipidemia. GLP-1s are being studied for their benefits in women with PCOS.

Purpose: To review the current evidence on the efficacy of GLP-1 receptor agonists in improving symptoms and complications of PCOS.

Methods: This scoping literature review used three databases, including CINAHL Ultimate, PubMed, and ClinicalKey. Inclusion criteria were women 18 and older diagnosed with PCOS and studies that evaluated any type of GLP-1 and their effect on …

Acoustic Levitation At Sub-Atmospheric Pressures And Reduced Temperatures: An Approach To Study Ice Crystal And Hypersonic Shockwave Interaction, Imteaz Osmani, David J. Delene, Hallie Boyer Chelmo

Graduate Research Achievement Day Posters

Micrometer-sized atmospheric ice crystals are commonly observed in high-altitude clouds. Inside clouds, they attach in different orientations, producing varied geometries, yet their formation mechanisms remain poorly understood. Their behavior under shock wave conditions remains underexplored due to lack of laboratory techniques capable of producing atmospherically realistic ice in controlled conditions. No experimental data and laboratory techniques exist to date on the interaction between atmospheric ice crystal aggregates and hypersonic shockwaves. To explore realistic atmospheric ice crystals’ thermodynamic and mechanical changes in hypersonic environments, we investigate the formation and behavior of ice crystal aggregates using acoustic levitation that avoids physical contact …

Privacy Preserving Anomaly Detection System For Der Solar Inverters, Tanzim Jim Hassan, Prakash Ranganathan

Graduate Research Achievement Day Posters

Reliable operation of solar inverters depends on maintaining a stable frequency. Recent cyber attacks on solar DERs are concerning and increase the likelihood of such stealthy attacks leading to anomalies in DER. Therefore, a robust anomaly detection system (ADS) is crucial for solar inverters used in distributed energy resources (DERs), enabling timely detection and correction of frequency anomalies. Additionally, preserving data privacy is essential for the security and reliability of the power grid. This paper proposes a privacy-preserving anomaly detection system (PP-ADS) based on a multi-stage hybrid machine learning (MSHML) model specifically designed for solar inverter data in DER environments. …

Aerodynamic Forces In Water And Air With Changing Wing Geometry, Michael Anthony, Carson Running

Mechanical Engineering Student Publications

This paper is an exploration of how the effects of wing geometry on the lift and drag in both air and water. The purpose of these findings is to understand if there exists a foil geometry that would offer the best lift-drag ratio in both fluids. To find the answer, chamber, chord, span, and aspect ratio were adjusted in an attempt to maximize lift and drag. The calculations were done through Matlab and the results are shown through Matlab figures. The Matlab code created shows that symmetric airfoils have the greatest lift to drag ratios due to their lower drag …

V-22 Osprey Proprotor, Derek Krieger, Carson Running

Mechanical Engineering Student Publications

This paper covers an aerodynamic analysis of the Boeing Bell V-22 Osprey proprotor blade by utilizing thin-airfoil theory (TAT) and lifting-line theory (LLT). The primary focus is how the coefficient of lift and induced drag respond to changes in the angle of attack of the proprotor blades. The proprotor blade is modeled as a finite wing based on the NACA 63-212 airfoil. The wing has a geometric twist of -35 degrees from root to tip. The theories used to evaluate the blade design are limited by the assumption of incompressible, inviscid flow. The results of the analysis indicate that lift …

Aerodynamic Analysis Of The Constrained Naca 8412 Airfoil For Formula Sae Application Using Thin-Airfoil And Lifting-Line Theories, Trevor Fried, Carson Running

Mechanical Engineering Student Publications

This project applies Thin-Airfoil Theory (TAT) and Lifting-Line Theory (LLT) to evaluate the aerodynamic characteristics of the inverted NACA 8412 airfoil as a single-element rear wing for Formula SAE. The 2D analysis was validated against XFOIL (Re = 480,000), confirming a zero- lift angle of αL=0 = -8.326° and establishing a viscous limit of cl,max ≈ 1.90 at αstall ≈ 13.0°. The 3D LLT model quantified the induced drag (CD,i), demonstrating that the wing's low aspect ratio and rectangular planform reduce efficiency compared to elliptic loading, with the induced drag being the dominant total drag component at high angles of …

A Systematic Review Identifying The Measures And Factors Relating To Faculty Research Success, Muhammad Salahuddin, Richard Hoberg, Robert Stupnisky

Education, Health & Behavior Studies Faculty Publications

Identification of the various methods of measuring faculty research success stands in need of better collection and summary. This study aimed to identify the measures and factors of faculty research success through a systematic review following PRISMA guidelines. Using the Boolean search, 265 studies (i.e., articles and dissertations) from four popular databases were selected for abstract screening. Thirty-six studies were selected for full-text text review, which ranged over 237,980 faculty of STEM and non-STEM areas from 29 countries. The results indicated that faculty research success is measured through several forms of academic publication including number of articles published in journals, …

The Therapy Behind The Tractor: An Occupational Therapists’ Guide For Treating Farmers, Allison Haiby

Occupational Therapy Capstones

Background: Historically, farming is known as a highly laborious job, placing farmers at increased risk for injury. Despite an injury, the farm must continue to be cared for. Although occupational therapy cultivates client-centered care, many therapists have limited knowledge of farming culture and best practice methods to integrate the demands of farming into therapy.

Purpose: The purpose of this scholarly project was to develop an educational guide, Built for the Farm: An Occupation-Based Guide for Therapists Working with Farmers, to support therapists treating farmers. The guide promotes culturally informed, occupation-based strategies to strengthen therapeutic relationships and improve the healthcare experiences …

Mitigating The Effects Of Technology Use In The Classroom: An Occupational Therapy Approach, Hannah E. Ibach

Occupational Therapy Capstones

Background: The average child spends three times the recommended time on technology, which is leading to a wide range of consequences affecting education, such as fine motor, cognitive, and social deficits (Christensen, 2021; McGough, 2021; Qi et al., 2023). Parents and teachers play a crucial role in helping children be prepared for their education, yet many are not aware of the impacts of too much technology use (Srivastava, 2022). Developing strong foundational skills early in childhood is critical for setting the stage for long-term educational success. When skills are nurtured from a young age, children are better prepared to adapt …

Gamifying Occupational Therapy Education: Enhancing Student Engagement And Outcomes, Payton Alise Baumann

Occupational Therapy Capstones

Background: Occupational therapy students face high rates of burnout and attrition during graduate education due to mental health challenges, reliance on passive learning strategies, and non-learner-centered curricula. These barriers limit active learning and reduce practical readiness for independent practice. Gamification has been shown to enhance engagement and application of knowledge; however, its adoption is limited by time constraints, attitudinal barriers, and lack of implementation guidance.

Purpose: The purpose of this project was to develop practical, evidence-based faculty training resources and gamified learning activities to incorporate gamification into occupational therapy curricula for the promotion of student well-being, engagement, and professional readiness. …

The Lens Of Farmers: Understanding Culture To Improve Occupational Therapy Care, Allison Marie Stephani

Occupational Therapy Capstones

Introduction: Accessible healthcare is essential for farmers due to their limited available time and hazardous job duties (Hildebrand et al., 2019; Hopkins et al., 2023; Salmon et al., 2025; U.S. Department of Agriculture, 2023). Due to the high incidence of injuries that occur within the profession, it is crucial that farmers seek appropriate healthcare services to address these concerns. However, a significant barrier for seeking healthcare assistance is the limited cultural competence among healthcare professionals in understanding the unique needs within farming communities (Gordon et al., 2024; Hildebrand et al., 2019; Hopkins et al., 2023; Purc-Stephenson et al., 2024). The …

Introduction Of Occupational Therapy Into A Suburban Supportive Housing Organization, Madeline Kuntz

Occupational Therapy Capstones

Abstract: Unhoused individuals experience compounded barriers beyond housing access and are often underserved within occupational therapy practice. This doctoral capstone project partnered with a nonprofit residential program to develop a research-informed onboarding manual grounded in the holistic occupational therapy framework, Model of Human Occupation (MOHO, O’Brien, 2017). The manual was designed to clarify expectations of the supportive housing program, address diverse resident needs, and promote independence as the organization expands. Development was informed by a comprehensive literature review and informal needs assessment of the organization, identifying anticipatory barriers and supports commonly experienced prior to program entry. Key areas of need …

Pathways To Participation: Enhancing Inclusion For Individuals With Idd, Katie Koxlien

Occupational Therapy Capstones

Background: Youth with intellectual and developmental disabilities (IDD) continue to experience barriers to meaningful community participation despite policies promoting inclusive community-based services (Friedman, 2017). Sensory sensitivities, difficulty with transitions, and overstimulating environments frequently limit engagement and increase anxiety or behavioral responses when appropriate supports are not present (Bagatell et al., 2022; Dean et al., 2018; Tint et al., 2017). Research indicates that inclusion requires intentional programming that incorporates structured supports, consistent routines, and opportunities for meaningful engagement (Edwards et al., 2021; Hall, 2016).

Methods: The purpose of this scholarly project was to develop a week long sensory exploration camp for …

The Operation And Control Strategy Of Microgrids: A Brief Review, Mohammad Alam, Salsabila Zaman

Electrical Engineering Student Publications

A microgrid is an effective approach for integrating various distributed energy resources to meet local energy demand. It possesses the capability to operate independently or in conjunction with the main utility grid. Typically, a microgrid is a small-scale power system (usually several megawatts or less) comprising three primary components: the ability to function in both grid-connected and islanded modes, distributed power generation sources, and autonomous control centers. Microgrids enhance system resilience by ensuring uninterrupted operation during grid disturbances. Additionally, they are environmentally sustainable and contribute to improved power quality. As a crucial element of modern power systems, microgrids can effectively …

Winter Commencement: December 19, 2025, University Of North Dakota

UND Commencement Programs

UND Winter Commencement program from December 19, 2025.