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Articles 121 - 150 of 11326
Full-Text Articles in Entire DC Network
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 …
Measuring The Clinical Effectiveness Of Telenutrition Medical Nutrition Therapy Among American Indian And Alaska Native Adults Newly Diagnosed With Type 2 Diabetes, Charisse Lindsey Holiday
Measuring The Clinical Effectiveness Of Telenutrition Medical Nutrition Therapy Among American Indian And Alaska Native Adults Newly Diagnosed With Type 2 Diabetes, Charisse Lindsey Holiday
Theses and Dissertations
The COVID-19 global pandemic was the impetus of the transition from in-person medical nutrition therapy (MNT) visits to telephone MNT. This occurred without evaluation of its clinical effectiveness, especially for American Indians and Alaska Natives (AI/AN). It is known that in-person MNT is clinically effective at lowering hemoglobin A1c (A1c) and that people with diabetes who experience food insecurity have poorer health. However, research characterizing food insecurity among AI/ANs is limited. This retrospective observational analytical study was conducted at the Phoenix Indian Medical Center (PIMC) in Phoenix, Arizona to assess the clinical effectiveness of telephone delivered MNT services by a …
Creating A Neonatal Intensive Care Unit Evidence Based Evaluation Protocol, Mary Redlin
Creating A Neonatal Intensive Care Unit Evidence Based Evaluation Protocol, Mary Redlin
Occupational Therapy Capstones
Background: Neonatal Intensive Care Units (NICU) in the United States admit approximately 300,000 infants annually (Valencia et al., 2023). Upon admission, neonatal occupational therapists assess a range of factors, including neurobehavioral, neuromotor, musculoskeletal, and sensory systems, as well as family/caregiver interactions and activities of daily living (Craig et al., 2018). This comprehensive evaluation underscores the need for effective assessment tools, efficient protocols, and adequate support for therapists. However, practitioners often face challenges that impact the quality of care, such as limited resources, lack of specialized training, and inconsistent organizational standards (Kaur et al., 2021). Occupational therapy has emerged as a …
Accessibility Of Higher Education: Supporting Student Self-Advocacy, Morgan Diane Halliday
Accessibility Of Higher Education: Supporting Student Self-Advocacy, Morgan Diane Halliday
Occupational Therapy Capstones
As of the 2020-2021 academic year, 1 in 5 undergraduate students reported having a disability (National Center for Education Statistics, n.d.). College students with disabilities (CSWD) face social and physical environmental barriers to higher education due to exclusive policies, procedures, and designs. In turn, occupational engagement is decreased, inhibiting participation in education. A college education can support career opportunities, financial stability, and personal development (Plotner & May, 2019). Therefore, it is essential that CSWD have equitable access. Despite efforts from college campuses to become more accessible, gaps remain that require CSWD to be self-advocates. The purpose of this project was …
A Guide To Occupational Therapy Intervention Planning For Individuals With Migraines In Rural Communities, Angelina M. Caron
A Guide To Occupational Therapy Intervention Planning For Individuals With Migraines In Rural Communities, Angelina M. Caron
Occupational Therapy Capstones
One in ten individuals in the world experience migraines (Amari et al., 2022). Migraines are a debilitating condition that presents with symptoms of intense head pain, aura, and nausea (American Migraine Foundation, 2018; Mayo Clinic, 2023). These symptoms have a global effect on an individual’s life and affect the meaningful and necessary tasks they do each day including work, school, family and social life, and their emotional health and cognitive functioning (Buse et al., 2019; Estave et al., 2021). Occupational therapy (OT) can be used with individuals with migraine by addressing factors such as routines, migraine self-management, cognitive strategies, and …
Journey To Understanding — An Introduction To North Dakota Tribes (2025), Cheryl Ann Kary Née Red Eagle, Sunshine Archambault-Carlow, Emma Jean Blue Earth, Carol Davis, Linda Gourneau, Oliver Gourd, Eugene Hale, David Henderson, Marilyn Hudson, Angeline Fourth Iron Road, Demus Mcdonald, Jt Shining One Side, Scott Simpson, Sharla Steever, Nicholas Asbury, Sashay Schettler, Lucy Fredericks, Native American Training Institute, United Tribes Technical College
Journey To Understanding — An Introduction To North Dakota Tribes (2025), Cheryl Ann Kary Née Red Eagle, Sunshine Archambault-Carlow, Emma Jean Blue Earth, Carol Davis, Linda Gourneau, Oliver Gourd, Eugene Hale, David Henderson, Marilyn Hudson, Angeline Fourth Iron Road, Demus Mcdonald, Jt Shining One Side, Scott Simpson, Sharla Steever, Nicholas Asbury, Sashay Schettler, Lucy Fredericks, Native American Training Institute, United Tribes Technical College
North Dakota Tribal History and Culture Series
Journey to Understanding: An Introduction to North Dakota Tribes is an introductory booklet intended to give a quick overview of Indigenous culture in North Dakota. It is a starting point for the rest of the North Dakota Tribal History & Culture series. The booklet explains the names and backgrounds of the nations that share geography with North Dakota. It also teaches basic cultural competency to facilitate interaction for people from a different background. The content is presented in the form of self-quizzes with provided answers. Journey to Understanding was originally used within the North Dakota Department of Human Services (NDDHS) …
Facilitating Engagement In Meaningful Occupations Through Nature-Based Experiences, Sydney Johnson
Facilitating Engagement In Meaningful Occupations Through Nature-Based Experiences, Sydney Johnson
Occupational Therapy Capstones
Background: Many children, especially those living in urban areas, are spending less time in nature than ever before which is decreasing their engagement in meaningful occupations such as sleep, play, education, social participation, and activities of daily living. Interacting with nature can improve children’s emotional regulation, development, attention span, mental health, and overall well-being. It is important that children have access to nature and its benefits to ensure they are reaching their full potential in life. One method to improve children’s access to nature is providing them with nature-based activities that can be modified or adapted for those living in …
Identifying The Common Patterns Or Trends That Emerge When Analyzing Past Accidents And Incidents Involving Autopilot Systems, Christopher David Tracy
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. …
Investigation In Using Kinesthetic Learning Of Electricity And Magnetism In Scale-Up, Joseph Charley Langenwalter
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
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 …
Experimental And Numerical Modeling For Co2 Utilization In Enhanced Oil Recovery And Associated Storage In Unconventional Reservoirs, Billel Sennaoui
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 …
Genetic Epidemiology Of Chronic Wasting Disease And Epizootic Hemorrhagic Disease In North Dakota Deer, Ethan S. Baker
Genetic Epidemiology Of Chronic Wasting Disease And Epizootic Hemorrhagic Disease In North Dakota Deer, Ethan S. Baker
Theses and Dissertations
Wildlife diseases have become a critical factor in the management of animal populations across the globe. Such diseases can compromise individual health, reduce population sizes, and disrupt ecosystem biodiversity. As a result, there can be a loss in recreational opportunities which, in turn, can cause economic losses for communities relying on these populations. Effective wildlife disease management not only requires the ability to respond to outbreaks but also the capacity to predict how diseases interact with populations and ecosystems. Due to the complexity of disease dynamics, a multidisciplinary approach is essential for gaining a comprehensive understanding of these systems. In …
Mindfulness And Modification Therapy (Mmt) Group Feasibility And Acceptability Among Prison Residents With Dysregulated Behaviors, Leslie Unger
Theses and Dissertations
Mindfulness and Modification Therapy (MMT; Wupperman, 2019) is a transdiagnostic therapy that systematically integrates aspects of six empirically supported treatments for impulsive and dysregulated behavior. As such, MMT may offer an efficient approach to addressing a variety of dysregulated behaviors, thereby supporting increased safety within carceral settings and enhancing goals of rehabilitation. To date, MMT has demonstrated positive results in community settings when treating substance misuse and anger/aggression, but it has not yet been examined in a prison setting. The present research examines the feasibility and acceptability of using a 14-session version of group MMT as a voluntary treatment option …
Military Recruitment And Retention: A Policy And Practice Analysis, Orly Naum
Military Recruitment And Retention: A Policy And Practice Analysis, Orly Naum
Theses and Dissertations
The ongoing decline in United States military recruitment and retention presents a growing challenge to sustaining an effective All-Volunteer Force (AVF), particularly within the United States Coast Guard, a branch that has historically been underrepresented in academic research, and across the Department of Defense (DoD). This convergent mixed methods study examined how generational cohorts and individual motivations influence recruitment and retention, integrating quantitative data from the Defense Manpower Data Center (DMDC) and qualitative survey responses from a veteran-rich collegiate population. The quantitative analysis revealed statistically significant differences in Armed Forces Qualification Test (AFQT) scores between Generation Z (GenZ) and Generation …
Mental Health Stigma Among Latiné Adolescents: Help-Seeking Intentions And Recommendations, Brenda D. Barragan
Mental Health Stigma Among Latiné Adolescents: Help-Seeking Intentions And Recommendations, Brenda D. Barragan
Theses and Dissertations
Latiné adolescents in the United States face increasing mental health challenges, including elevated rates of depression, suicidal ideation, and emotional distress, particularly in underserved regions such as the Midwest. Despite these needs, Latiné adolescents remain underrepresented in mental health research, particularly with respect to how cultural values and intersecting identities—such as gender, immigrant status, and perceived socioeconomic status—influence stigma and help-seeking behaviors. Grounded in the Theory of Planned Behavior (TPB), this study explored how mental health stigma and cultural factors shape help-seeking intentions and recommendations among 95 self-identified Latiné adolescents in North Dakota and Minnesota. The study examined two primary …
Precipitation Forecast And Verification For Suas Applications, Patrick Britt
Precipitation Forecast And Verification For Suas Applications, Patrick Britt
Theses and Dissertations
Small Unmanned Aerial Systems (sUAS) have become a fast-growing part of air traffic in the United States. This significant growth is due to the numerous uses these systems can provide, both recreationally and professionally. Due to the small nature of the sUAS, any weather, regardless of intensity, plays a vital role in flight operations and planning. In a survey of sUAS pilots, it was found that precipitation was the most significant hazard of concern, and the most time-sensitive hazard, as precipitation conditions are most often checked by operators in the immediate moments before flight. This project aimed to create, analyze, …
Computational Prediction Of Hemolysis In Laminar Non-Newtonian Fluid, Nasim Gholizadeh
Computational Prediction Of Hemolysis In Laminar Non-Newtonian Fluid, Nasim Gholizadeh
Theses and Dissertations
Hemolysis, the rupture of red blood cells (RBCs), is a critical concern in blood-circulating devices, requiring accurate predictions to ensure patient safety. This study investigates the sensitivity of hemolysis predictions to variations in viscosity models and hemolysis coefficients under complex flow conditions. Computational Fluid Dynamics (CFD) simulations were conducted using Ansys Fluent and OpenFoam on identical meshes with the FDA benchmark nozzle model. Under laminar flow conditions, CFD frameworks accurately predicted global variables, but variations in derived quantities, such as strain rate and vorticity, emerged due to differences in numerical solvers and gradient evaluation methods. These variations affected predictions of …
Examining A Year One Sor Implementation: A Mixed-Method Study Of Teacher Experiences And Student Literacy Scores, Christine Litzinger
Examining A Year One Sor Implementation: A Mixed-Method Study Of Teacher Experiences And Student Literacy Scores, Christine Litzinger
Theses and Dissertations
With increasing national and legislative mandates prioritizing SoR practices, many schools are shifting their literacy practices to align classroom instruction, interventions, and screening to follow reading research, which can require a shift in pedagogy for individual educators and schools. This exploratory sequential mixed-methods study explored a year one implementation of the Science of Reading (SoR) in a mid-size midwestern school district during their first year of across-district literacy reform. Qualitative case study interviews were conducted of K-3 Classroom teachers (4) and literacy coaches (4). Emergent themes from the findings included value in high fidelity professional development, challenges related to resource …
The Influence Of Active Galactic Nuclei (Agn) Feedback On Star Formation In Spiral Galaxies, Moreom Akter
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 …
The Role Of Student Loan Debt On Delayed Homeownership Among Black American College Graduates, Dedan Makongoro Kusaga
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, …
Why Can't We Just Be: Native American College Student Sense Of Belonging At The University Of North Dakota, Gavin Michael Nadeau
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). …
Adaptblur: Adaptive Linear Filter For Enhanced Deep Learning Classification Performance, Ganesha Thondilege
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 …
The Wicked Problem Of Moral Distress: Exploring The Experiences Of Rural Clinic Nurses, Sydney Rae Johnson
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 …
The Weapon Focus Effect On Memory For Male And Female Perpetrators, Faith Christel Aasen
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. …
Advanced Motor Control Using Td3 Model-Free Reinforcement Learning, Muhammad Azam
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, …
Nanoscale Frictional Properties Of Two-Dimensional Snse And Snse2 With Lateral Force Microscopy, Thomas Iken
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.
Photometric Analysis Of Four Near-Earth Asteroids With A Convex Shape Model Of (25330) 1999 Kv4, Lucas James Hutton
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 …
An Explainable Ai Framework For Detecting Harmful Algal Blooms (Habs) In Freshwater Lakes, Meera Gopinath Sujatha
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 …
Hazard Impact Assessment Of Brine Spills On Groundwater Pollution In Western North Dakota, Grace Dzifa Agbozo
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
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 …