Digital Commons Network^™

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, …

Machine Learning-Guided Discovery Of Metal-Ligand Catalysts For Affordable Green Hydrogen Produced Via Proton Exchange Membrane Electrolyzers, Achouak Benarbia

Theses and Dissertations

The rising demand for clean and sustainable energy sources has underscored the critical role of hydrogen in the global energy transition. However, the widespread adoption of green hydrogen remains constrained by the high cost and scarcity of platinum-based electrocatalysts used in Proton Exchange Membrane (PEM) electrolyzers. This dependence inflates production costs and poses long-term risks related to supply security and scalability. While numerous studies have explored alternative materials, the discovery of efficient and stable non-platinum catalysts remains a major bottleneck due to the vastness of chemical space and the resource-intensive nature of experimental screening. To address this challenge, this study …

Next-Gen Device For Uniform Cellular Migration Assay Execution, Nicholas M. Bittner

Theses and Dissertations

Cellular migration assays, particularly scratch assays, are pivotal in biomedical research for cell motility, wound healing, and metastasis. However, conventional scratch assays suffer from variability due to operator dependence, non-uniform scratch geometry, and a modified microenvironment that impacts reproducibility. This thesis presents the development and validation of a low-cost, 3D-printed device designed to standardize cellular migration assays. The device utilizes a spring mechanism and a biocompatible elastomer to create a uniform cellular exclusion zone without harming the surrounding cells. Through iterative prototyping and testing with MCF10A cell lines, the device demonstrated a significantly lower average standard deviation of length compared …

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 …

Pr Activities Of Muslim Organizations In Slovakia: Political And Communication Analysis, Vadym Sluysar, Oleh Sokolovskyi, Serhii Kostiuchkov, Mykola Slyusar

Occasional Papers on Religion in Eastern Europe

The article is dedicated to analyzing the PR activities of Muslim organizations in Slovakia, taking into account the political, social, and communicative context. The authors explore the impact of digital technologies on religious communication, examining the use of social media and traditional media to shape the public image of Islamic organizations. Significant attention is given to the issue of islamophobia and the informational strategies aimed at overcoming negative stereotypes about Muslims. The PR campaigns of the "Islamic Foundation in Slovakia" are analyzed, including their role in interfaith dialogue and combating hate speech. The study addresses political challenges, particularly the populist …

Samuel Štefan Osuský’S Critique Of Church And Society In The Face Of Totalitarianism, Michal Valčo, Katarína Valčová

Occasional Papers on Religion in Eastern Europe

This paper provides a systematic review analysis of the relevant works of Slovak philosopher and theologian Samuel Štefan Osuský (1888-1975), focusing on his critical perspective concerning the responses of the Church (mainly the Evangelical Lutheran Church of Augsburg Confession in Slovakia) and society to the ideological and political dangers of fascism and Nazism in 20th-century Central Europe. Drawing on his major writings, including his prophetic 1937 lecture "Filozofia boľševizmu, fašizmu a hitlerizmu" [The Philosophy of Bolshevism, Fascism, and Hitlerism] and the courageous 1942 "Pastiersky list k židovskej otázke" [Pastoral Letter on the Jewish Question], we explore Osuský’s diagnosis of institutional …

Digital Orthodoxy And Political Populism In Eastern Europe: How Orthodox Media Facilitate Political Mobilization, Dmytro Garaschuk, Oleh Sokolovskyi

Occasional Papers on Religion in Eastern Europe

This article examines the intersection of Orthodox digital media and political populism in Eastern Europe, focusing on how religious institutions utilize digital platforms to facilitate political mobilization, reinforce nationalistic narratives, and undermine democratic institutions. Drawing on a comparative analysis of six countries–Russia, Ukraine, Romania, Serbia, Georgia, and Montenegro–the study identifies a shared ideological matrix that fuses populist rhetoric with theological motifs. The research highlights the strategic use of digital media by Orthodox actors to construct moral binaries, sacralize political resistance, and disseminate disinformation framed in religious language. Particular attention is given to the role of the Russian Orthodox Church and …

The Development Of The Trinitarian Charism In Poland And Its Realization, Maciej Kowalski

Occasional Papers on Religion in Eastern Europe

The aim of this article is to present the stages of development of the Trinitarian charism in Poland and to discuss the ways of its implementation, as well as to answer the question to what extent the Polish Trinitarians in their more than three hundred years of history have adapted the religious charism to their native conditions in changing historical circumstances. This, in turn, will allow better understanding of the heritage and activities of the Trinitarian Order in Poland, as well as to bring closer its multifaceted impact on various areas of Church and social life. The issues raised here, …

A Global Application Programming Interface-Enabled Earthquake Ground Motion Relational Database For Engineering Applications, Tristan E. Buckreis, Chukwuebuka C. Nweke, Pengfei Wang, Scott J. Brandenberg, Maria E. Ramos-Sepúlveda, Rashid Shams, Shako Mohammed, Renmin Pretell, Silvia Mazzoni, Paolo Zimmaro, Jonathan P. Steward

Civil & Environmental Engineering Faculty Publications

We present a application programming interface (API)-enabled relational database of global earthquake ground motion intensity measures, associated metadata, and processed time-series data. Raw ground motion records were processed by the authors using either manual or semi-automated processing procedures, and every processed record has passed a quality review by a trained analyst. Computed intensity measures include peak acceleration and velocity, pseudo-spectral acceleration response spectra, cumulative absolute velocity, Arias Intensity, and Fourier amplitude spectra. The processed time-series data, associated metadata, and ground motion intensity measures were organized into a web-served relational database consisting of 32 tables connected by primary/foreign key pairs. Ground …