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A Whole-Brain Voxel-Based Analysis Of Structural Abnormalities In Ptsd: An Enigma-Pgc Study, Jacklynn M. Fitzgerald

Psychology Faculty Research and Publications

Background

Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.

Methods

T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and …

Effect Of Trauma Type And Trauma Burden On Self-Efficacy For Physical Exercise In Military Veterans, Kaley E. Davis, Meghan M. Bennett, Cecilia J. Hillard, Jeffrey Whittle, Zeno Franco, Rachel E. Bollaert, Jacklynn M. Fitzgerald

Exercise Science Faculty Research and Publications

Introduction

United States (U.S.) military veterans experience significant physical health problems. Lifestyle modifications, such as increasing daily physical activity, are often considered the first course of action in treatment for the general public. However, veterans report low levels of physical activity, often due to perceived barriers to engaging in exercise. Trauma exposure type and cumulative trauma burden may be differentially associated with exercise attitudes and behaviors.

Methods

We surveyed U.S. military veterans on perceived self-efficacy to overcome barriers to engaging in exercise and physical activity levels. Additionally, we explored the relationship between the type of traumatic event exposure and cumulative …

Evaluation Of Methotrexate Pharmacogenomic Variation To Predict Acute Neurotoxicity In Children With Acute Lymphoblastic Leukemia, Rachel D Harris, Olga A Taylor, M Monica Gramatges, Amy E Hughes, Mark Zobeck, Sandi Pruitt, M Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Ashley Choi, Yuu Ohno, Melissa A Richard, Alanna C Morrison, Han Chen, Bing Yu, Philip J Lupo, Karen Rabin, Michael E Scheurer, Austin L Brown

Faculty, Staff and Students Publications

BACKGROUND: Methotrexate is an important component of curative therapy in childhood acute lymphoblastic leukemia (ALL), but the role of genetic variation influencing methotrexate clearance and transport in toxicity susceptibility in children with ALL is not well established. Therefore, we evaluated the association between suspected methotrexate pharmacogenomic variants and methotrexate-related neurotoxicity.

METHODS: This study included children (aged 2-20 years) diagnosed with ALL (2005-2019) at six treatment centers in the southwest United States. Clinical information was abstracted from medical records. Suspected neurotoxic events occurring within 21 days of intravenous and/or intrathecal methotrexate delivered between the end of induction and start of maintenance …

Folate Receptor Β Performs An Immune Checkpoint Function In Activated Macrophages, Fenghua Zhang, Md Yusuf Al-Amin, Sagar Utturkar, Rina Jiang, Gregory Cresswell, Rami Alfar, Ian Ophaug-Johansen, Gabriel Bachman, Madduri Srinivasarao, Richard Finnell, Amaya Puig-Kröger, Timothy Ratliff, Philip S Low

Faculty, Staff and Students Publications

Monocytes and macrophages are sentinels of the immune system that distinguish themselves from other cells by expressing the beta isoform of the folate receptor (FRβ). Because FRβ does not bind folate until the monocyte/macrophage is exposed to immunosuppressive cytokines, the question naturally arose whether FRβ might also perform an immune-related function. To examine this matter, we compared the properties of wild type (WT) and FRβ knockout mice. We observe that FRβ knockout (KO) mice display autoimmune symptoms that can include alopecia, enlarged spleens, and dermatitis, despite having normal cellular folate levels. We further demonstrate that syngeneic tumors (TRAMP C2, MC38) …

The Utility Of Brain Biomarkers In Predicting Survival And Neurological Outcomes In Pediatric Patients After Cardiac Arrest: A Systematic Review And Meta-Analysis, Halla Kamińska, Krzysztof Kurek, Michał Zembala, Sagar Galwankar, Monika Tomaszewska, Shraddha Singh, Nicola Luigi Bragazzi, Michał Pruc, Basar Cander, Francesco Chirico, Amelia Rizzo, Jacek Kubica, Ayman El-Menyar, Anne Lepetit, Pawel Patrzylas, Zubaid Rafique, W Frank Peacock, Łukasz Szarpak

Faculty, Staff and Students Publications

Background: Cardiac arrest in children is associated with high morbidity and mortality, primarily due to neurological injury. Biomarkers linked to brain injury, released into circulation from compromised elements of the neurovascular unit, act as significant prognostic indicators in patients suffering from hypoxic-ischemic brain injury (HIBI) subsequent to the restoration of spontaneous circulation (ROSC) after pediatric cardiac arrest. The aim of this systematic review and meta-analysis is to evaluate the prognostic utility of brain injury biomarkers in predicting neurological outcomes and survival in patients following cardiac arrest in the pediatric population.

Methods: Bibliographic databases (PubMed, the Cochrane Library, and Embase) were …

The Weapon Focus Effect On Memory For Male And Female Perpetrators, Faith Christel Aasen

Theses and Dissertations

Previous research on the weapon focus effect suggests that weapon presence causes reduced memory accuracy for perpetrator details due to weapons being surprising and unexpected. The unusualness hypothesis suggests that a stronger weapon focus effect should occur when the perpetrator defies typical gender stereotypes, such as a woman holding a gun. The current study sought to examine how the weapon focus effect impacts eyewitness memory for male and female perpetrators, specifically exploring the magnitude of the effect on female perpetrators. The current study further investigated whether the own gender bias attenuates the weapon focus effect on memory for female perpetrators. …

Hazard Impact Assessment Of Brine Spills On Groundwater Pollution In Western North Dakota, Grace Dzifa Agbozo

Theses and Dissertations

The rapid expansion of oil and gas production in North Dakota’s Bakken Formation has heightened environmental concerns, particularly groundwater contamination from brine spills. Brine, a highly saline byproduct of oil extraction, poses a serious threat to water quality due to its chemical composition. This study examines brine spill impacts from 2013 to 2024 across Williams, Mountrail, McKenzie, and Dunn counties using GIS and the DRASTIC model, enhanced with Analytical Hierarchy Process (AHP) and Fuzzy Overlay techniques. Essential hydrogeological factors were analyzed to produce vulnerability index maps. Furthermore, spatial autocorrelation (Moran’s I), Optimized Hot Spot Analysis, and Emerging Hot Spot Analysis …

Domain Adapted Signal Classification For Simulated And Real-World Signals, Mohammad Ali

Theses and Dissertations

Signal classification models based on deep neural networks are trained on a set of data either simulated or over-the-air that are restricted to specific channel environments, varying distortion conditions such as SNR offsets. The consequence are models that unexpectedly do not do well in scenarios when the feature distribution between domains are too large such as when simulated models are deployed in real world environments. In this regard, we propose signal classification framework leveraging Domain-Adversarial Neural Networks to address SNR variability for simulated data Unsupervised Domain Adaptation frameworks for simulated to real world signals. Our first approach employs domain adversarial …

The Influence Of Active Galactic Nuclei (Agn) Feedback On Star Formation In Spiral Galaxies, Moreom Akter

Theses and Dissertations

We investigate the influence of Active Galactic Nuclei (AGN) feedback on star formation in spiral galaxies by analyzing a sample of 324 red and 273 blue spiral galaxies from 115 low-redshift galaxy clusters. The multi-wavelength dataset combines optical emission line data from the Sloan Digital Sky Survey (SDSS), X-ray luminosity from the Chandra X-ray & XMM-Newton observatories, and ultraviolet (UV) and infrared (IR) measurements from GALEX and WISE. Using diagnostic emission line ratios, we constructed Baldwin, Phillips, and Terlevich (BPT) diagrams to classify galaxies based on nuclear activity. Our analysis reveals that most of the red spirals have AGNs and …

Advanced Motor Control Using Td3 Model-Free Reinforcement Learning, Muhammad Azam

Theses and Dissertations

Motor control plays a critical role in industrial automation, ensuring the precise regulation of speed, torque, and position across various applications. Traditional motor control techniques, such as open-loop, closed-loop, and feedback control, have been widely used but face limitations in handling complex and dynamic systems. Recent advancements in machine learning (ML) offer potential improvements in motor control by enabling systems to learn optimal control policies autonomously. This research investigates the integration of Reinforcement Learning (RL) with Field-Oriented Control (FOC) for the control of Permanent Magnet Synchronous Motors (PMSMs). The study aims to address a significant gap in reward function design, …

Evaluation Of Schlafen Family Proteins In Triple Negative Breast Cancer, Savannah Brown

Theses and Dissertations

This dissertation explores the role of Schlafen (SLFN) family proteins in Triple-Negative Breast Cancer (TNBC), a subtype known for its aggressive behavior and poor response to treatment. Through a series of studies, this dissertation examines the interplay between multiple SLFN proteins, chemotherapy resistance, and immune modulation, revealing the potential of SLFN12 as both a biomarker and therapeutic target for improving treatment outcomes, particularly in overcoming chemoresistance in TNBC.

Breast cancer, the most common cancer worldwide, includes various subtypes like TNBC, which lacks estrogen, progesterone, and HER2 receptors, making it resistant to conventional therapies. SLFN proteins, first discovered in mice, regulate …

Autonomous Corrosion Detection In Steel Structures Using Different Non-Contact Techniques, Amrita Das

Theses and Dissertations

Metallic corrosion is an electrochemical process that can occur due to the formation of aqueous adlayers on the metal surface. It is often described as reverse metallurgy, as corrosion drives refined metals back to their lowest energy state, namely an oxidized, ore-like form. Environmental factors that promote corrosion include precipitation, high humidity, and chemical condensation, which can result from the hygroscopic nature of pollutants deposited on the surface. There is a significant impact of metallic corrosion on the U. S. economy including infrastructure, transportation, utilities, production, and manufacturing. The total direct cost of corrosion in the United States has been …

Great Expectations: How Gender Assigned At Birth Shapes Viewpoint Based Perceptual Disparities In Gender-Diverse People, Adelyn Emter

Theses and Dissertations

The purpose of this study was to examine disparities between personal beliefs and perceived societal ideologies about earning gendered traits and maintaining masculinity and femininity, with a focus on gender-diverse perspectives and the influence of gender identity on responses to social research. The current study recruited 334 gender-diverse participants to compare Viewpoint and Gendered Trait based on participant Gender Assigned at Birth, using twelve statements about earning and maintaining masculinity and femininity. The Traditional Egalitarian Sex Role (TESR) Inventory and Social Dominance Orientation (SDO) Scale were used as covariates which significantly contributed to the model. As expected, societal belief scores …

An Explainable Ai Framework For Detecting Harmful Algal Blooms (Habs) In Freshwater Lakes, Meera Gopinath Sujatha

Theses and Dissertations

The increase in economic impacts due to the rapid growth of harmful algal blooms (HABs) in freshwater lakes has prompted the development of monitoring and prediction systems. However, limited target data hinders reliable predictions on HAB formations. To address this limitation, this dissertation focuses on providing solutions through data-driven,interpretable, and explainable machine learning models. In Chapter 3, an interpretable multivariate regression model such as Vector Autoregressive (VAR) was used to analyze the important factors that contribute to the formation of cyanobacteria in lakes. The causality tests performed on multiple water quality data helped to determine Alkalinity, Chlorophyll-a (Chl-a), andWater Temperature …

Photometric Analysis Of Four Near-Earth Asteroids With A Convex Shape Model Of (25330) 1999 Kv4, Lucas James Hutton

Theses and Dissertations

Astrometric and photometric observations of asteroids provide information regarding their positions, rotation rates, axis of rotation, and shapes. Lightcurve inversion utilizes an asteroid’s change in brightness with respect to phase angle change, which maximizes ground-based observational data. This study investigated the rotational properties of four near-Earth asteroids (NEAs) with a single pole solution and convex shape model of (25330) 1999 KV4 using the lightcurve inversion method. Photometric observations were remotely obtained using the Skynet Robotic Telescope Network, andNOIRLAB’s Cerro-Tololo Inter-American Observatory’s (CTIO) 24” Ritchey-Chretien Prompt 3 Telescope. The data were calibrated using AstroImageJ software, and lightcurve analyses were performed using …

Nanoscale Frictional Properties Of Two-Dimensional Snse And Snse2 With Lateral Force Microscopy, Thomas Iken

Theses and Dissertations

In this study, we employed an atomic force microscopy-based lateral force microscopy technique to examine the nanoscale frictional characteristics of 2D SnSe and SnSe2 layers, and we compared these results with those of graphene, a commonly used solid lubricant. Our results revealed that both SnSe and SnSe2 layers exhibited superior lubricative performance compared to graphene with similar thicknesses. Experimental results were further substantiated by extensive Density Functional Theory calculations to understand the observed frictional properties of these materials.

The Wicked Problem Of Moral Distress: Exploring The Experiences Of Rural Clinic Nurses, Sydney Rae Johnson

Theses and Dissertations

Background: Moral distress is an occupational hazard for nurses that can negatively impact nurses, patients, and the healthcare system. Moral distress has been well documented in high-risk care environments. Each nursing care environment has its own unique triggers for moral distress, but these triggers are unknown in rural clinic nurses. Design and Purpose: This convergent mixed methods study sought to gain a broader understanding of moral distress in nurses working in rural clinic settings.

Methods: Convergent mixed methodology was used to gain a broader understanding of moral distress in nurses working in rural clinic settings. Following ethical approvals, informed by …

Predicting Social Media Addiction: The Influence Of Paralinguistic Digital Affordances And Cognitive Processes On Social Media Use, Dakota Krebs

Theses and Dissertations

Social media has become an increasing staple in everyday life for numerous people. Yet, excessive and repetitive social media usage may become problematic, to the extent that the behavior takes the form of a psychological addiction. The primary objective of this study was to explore prospective factors that could predict the psychological dependency on social media applications, characterized as social media addiction (SMA). Paralinguistic Digital Affordances (PDAs) are “likes” one receives on social media and may predict SMA via the expected gratification attained when a PDA is received. Cognitive processes, assessed with a general executive functioning index and the n-back …

The Role Of Student Loan Debt On Delayed Homeownership Among Black American College Graduates, Dedan Makongoro Kusaga

Theses and Dissertations

The growing burden of student loan debt in the United States has raised significant concerns about its broader social and economic impacts, particularly on young adults’ ability to achieve financial milestones such as homeownership. Black American college graduates are especially affected, often carrying higher loan balances and facing greater financial barriers due to historical and structural inequalities. This quantitative study examined the role of student loan debt and other factors influencing delayed homeownership among Black American college graduates, using the public-use Baccalaureate and Beyond (B&B: 2008/2018) dataset from the National Center for Education Statistics (NCES). Findings indicated student loan debt, …

Investigation In Using Kinesthetic Learning Of Electricity And Magnetism In Scale-Up, Joseph Charley Langenwalter

Theses and Dissertations

This study investigates the effectiveness of incorporating kinesthetic learning activities into a SCALE-UP (Student-Centered Active Learning Environment with Upside-down Pedagogies) physics course to improve students' conceptual understanding of electricity and magnetism. This study aims to explore the effects of adding kinesthetic activities to a first-year 2nd semester physics course on student learning that included 92 students in three groups, traditional, scale-up control, scale-up activity classrooms. Nine active learning activities were designed to promote learning. A unique pre-post instrument was used to gauge student learning. Three questions from an instrument showed statistically significant improvement in student scores from the semester that …

Geothermal Sweep Efficiency Enhancement Potential Analysis Using Geological Modeling And Numerical Simulation On Unconventional Deadwood Formation, Ashraf Mohammed

Theses and Dissertations

This study investigates the potential to enhance geothermal sweep efficiency in the fractured, low-permeability Deadwood Formation using a cellulose-based biopolymer and gel treatment. A geological model was developed using well log and structural data from four wells in the Williston Basin and subsequently upscaled into a numerical reservoir simulation in CMG/STARS. Laboratory core-flooding experiments on Deadwood samples were used to calibrate gel behavior under high-temperature (160 °C) and high-salinity (17% TDS) reservoir conditions.Simulation results indicate that a short-duration gel treatment—equivalent to 0.03 pore volumes over one year—can significantly reduce channeling through high-conductivity fractures. The reduction in channeling improves thermal conformance …

Why Can't We Just Be: Native American College Student Sense Of Belonging At The University Of North Dakota, Gavin Michael Nadeau

Theses and Dissertations

Sense of belonging is a primary indicator of retention and persistence to graduation forNative American college students. Though more than doubling in the past 30 years, Native American college student enrollment has decreased since 2010 (197,000 in 2010 to 107,000 in 2021) (PNPI, 2021; NCES, n.d.). In 2020, Native American students’ 2nd year retention rate was more than 20% lower than their white peers at the University of North Dakota (UND, 2020). When college students of color feel like they belong, they are more likely to retain, persist, and graduate (Mowreader, 2024; Hurtado & Carter, 1997; Hurtado et al., 1999). …

When Fomo Meets The Keg: A Descriptive Case Study Of Binge Drinking In First-Year College Students At The University Of North Dakota, Angie Novak

Theses and Dissertations

Binge drinking among first-year college students is a persistent public health and academic issue, particularly during the transition to higher education. As students gain independence and navigate peer influence and campus norms, many perceive alcohol use as a central part of the college experience. This descriptive case study investigates the personal, environmental, and behavioral factors contributing to binge drinking among first-year students at the University of North Dakota (UND).The study, guided by Social Cognitive Theory (SCT), explored how students adopt and reinforce drinking behaviors through peer modeling, social expectations, and institutional culture. Qualitative data was collected through individual interviews with …

Teacher Skills Needed For Effective Participation In Multi-Tiered Systems Of Support (Mtss): A State Framework Analysis, Melissa Osborne

Theses and Dissertations

This study is a secondary data analysis that uses a validated rubric to score the degree of alignment between the teacher skills (TS) necessary for the effective implementation of Multi-Tiered Systems of Support (MTSS) and the preservice teacher training standards (PTS) across five states located in the North Central United States. This investigation also assessed whether states employing an MTSS process to establish special education eligibility for specific learning disabilities (SLD) exhibit higher alignment between TS and PTS compared to states that do not follow that process. Literature outlines the TS needed in an MTSS framework, but there is limited …

High-Fidelity Surface And Environment Simulation Using Immersive Virtual Reality For Lunar Analog Training, Shriya Pedaparthi

Theses and Dissertations

The study explores the integration of high-fidelity Virtual Reality (VR) into astronaut training for lunar analog missions. A realistic VR simulation was developed to represent lunar terrain, allowing participants to perform critical tasks under simulated lunar conditions. Specifically, participants navigated from a compromised lunar habitat (ILMAH) facing a pressure breach, to a secure facility, testing their ability to respond effectively to emergency scenarios. Participants underwent three sequential trials to assess how VR and physical constraints influence gait and performance: (1) a baseline trial measuring natural gait without equipment; (2) a trial incorporating a real spacesuit and lunar gravity simulated through …

Nutrition Implications In Hypermobile Ehlers-Danlos Syndrome (Heds)/Hypermobility Spectrum Disorder (Hsd), Lauren Steiner

Theses and Dissertations

Hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD) are a poorly recognized and under researched group of genetic connective tissue disorders that have widespread impacts on the human body, including gastrointestinal (GI) symptoms. The role of dietary and supplemental interventions in GI symptom control in this patient population has not been researched. This study used an exploratory survey to collect data on diets and supplements that the patient population has used to combat GI symptoms. The low histamine, gluten free, dairy free, anti-inflammatory, and intermittent fasting diets, as well as magnesium, probiotic, coenzyme Q10, vitamin C, vitamin B12, and …

Experimental And Numerical Modeling For Co2 Utilization In Enhanced Oil Recovery And Associated Storage In Unconventional Reservoirs, Billel Sennaoui

Theses and Dissertations

Unconventional reservoirs, such as the Bakken and Three Forks formations, present significant challenges due to their ultra-low permeability and complex fracture networks, which limit primary oil recovery to less than 10%. To enhance hydrocarbon extraction while simultaneously facilitating carbon dioxide (CO₂) storage, this study investigates the mechanisms governing CO₂ Huff-n-Puff (HnP) and associated storage under various operational conditions. A comprehensive approach integrating experimental analysis, numerical simulations, multiphase flow modeling, and geochemical interactions is employed to optimize CO₂-EOR and storage strategies. The experimental phase focuses on evaluating the performance of different injected gases (CO₂, ethane, and propane) in the Upper Three …

Adaptblur: Adaptive Linear Filter For Enhanced Deep Learning Classification Performance, Ganesha Thondilege

Theses and Dissertations

Image preprocessing is crucial in deep learning models for high performance and accuracy. This study implements AdaptBlur, a dynamic linear filter developed from a second-order partial differential equation using finite difference approximations, which enhances image quality while preserving the image structure with dynamic parameters that are optimized through the Nelder-Mead optimization, minimizing mean square error to improve the effectiveness of the filter. Moreover, the study evaluates the impact of the results on model performance on deep learning classification using publicly available datasets. Experimentally, image classifiers trained on preprocessed data with the AdaptBlur filter perform much better than those trained without …

Identifying The Common Patterns Or Trends That Emerge When Analyzing Past Accidents And Incidents Involving Autopilot Systems, Christopher David Tracy

Theses and Dissertations

This study investigated to what extent over-reliance on automation, particularly autopilot systems, contributed to incidents and accidents in commercial aviation. Despite advancements in automated technologies, there is a growing concern regarding the potential consequences of pilots’ dependency on these systems. This research analyzed past key incidents to identify patterns indicating that pilots may have been inadequately prepared to assume manual control during automation failures. This study employed a qualitative approach, including semi-structured interviews with aviation professionals such as airline flight instructors, line check pilots, flight standards evaluators, and an FAA aviation safety inspector, along with qualitative surveys with professional pilots. …

Forceful Functors: A Categorical Approach To Constraint Monitoring In Machine Learning Models, Jonathan Wirkkala

Theses and Dissertations

Often times in machine learning there are several heuristic choices that one makes during model selection, training, and validation. These choices include the type of training used, the width and depth of the model, type activation function and many more. These choices are general rules of thumb and best practices when creating a machine learning algorithm to achieve acceptable results. For example, in the case of image processing, this may mean determining whether or not a given image contains a tumor. Decisions made during the design process create several variations of machine learning algorithms, all with various properties with pros …