Digital Commons Network^™

Asymptote, Aybuke Yilmazer

Theses

Asymptote is a short film that is an expression of mankind’s emotional consumption through confusing love with sex. This film is a frame-by-frame hand-drawn animation that combines digital and analog techniques. It was produced between August 2024 and April 2025, and its music was re-produced in August 2025. This paper is a written declaration of the motives and intentions of the director, Aybuke Yilmazer, in making this film, and analyzes the filmmaking process. The text of the thesis is in third person except for the self-evaluation section.

Exploring The Relationship Between Social Media And Anxiety In Deaf Community Students: A Mixed-Methods Approach., Gigi Zheng

Theses

The mental health of Deaf individuals, particularly in relation to social media engagement, is an understudied area amid growing global concerns about anxiety disorders. Deaf individuals face unique challenges, including communication barriers, social isolation, and stigma, all of which can heighten anxiety levels. Although social media offers valuable opportunities for connection and self-expression, it may also amplify stress and feelings of inadequacy when accessibility barriers persist. This mixed-methods study examined anxiety among Deaf college students and explored the cultural validity of two widely used anxiety measures—the State-Trait Anxiety Inventory (STAI) and the Beck Anxiety Inventory (BAI). Quantitative data were collected …

Symbiotic Furniture Design: A Single Chair Integrating Epiphytes With Taiwanese Window Grille Structures, Kuan-Wen Lin

Theses

Plants have been integrated into residential and interior environments for centuries, yet research on the psychological effects and interactive potential of plants in furniture design is still relatively limited. Traditional planting methods, such as individual potted plants or large green walls, often require additional floor or wall space, which is not ideal for environments with limited living space. Therefore, this study investigates how plants can be integrated into furniture design to enhance the effect of interior greenery and user engagement, and to redefine the relationship between furniture and the natural environment. This research explores a furniture design that incorporates epiphytic …

Defaking Deepfakes: Designing And Evaluating Ai-Powered Digital Media, Saniat Javid Sohrawardi

Theses

The rapid spread of generative AI has revolutionized media production, creating new challenges for information integrity as convincing deepfakes proliferate. Journalists play a critical role in upholding credible public information, yet existing deepfake detection technologies often overlook their specific workflows and requirements. This dissertation addresses these needs by identifying what journalists require from detection tools and evaluating usability in realistic scenarios through the following works: Journalists' Needs and Tool Design: Through qualitative user studies, we uncover journalists' preferences for tools that provide transparent, explainable evidence and context-aware analysis integrated into news verification routines. These insights drive the design of DeFake, …

The Role Of Technology In Modernizing Prison Management Systems, Essa Anwahi

Theses

This thesis examines the role of technology in modernizing prison management systems and improving operational efficiency, security, and decision-making. It explores how digital technologies and data analytics can address challenges in traditional prison management, such as inefficient processes and limited data utilization. The study highlights the potential of technology-driven solutions to enhance system performance and support more effective management practices within correctional facilities.

Predicting Employee Attrition With Machine Learning: Data-Driven Strategies For Enhancingworkforce Retention, Ali Almheiri

Theses

In this research, the dual prediction and prescription model is developed and validated so that this model can not only predict employee turnover risk, but it also proposes the appropriate retention interventions, which apply across industries. On the basis of the IBM HR Analytics Attrition dataset (n=1,470), we preprocessed demography, job and satisfaction variables and trained three machine-learning classifiers, Random Forest, Logistic Regression and XGBoost to predict voluntary turnover. XGBoost model recorded the best discrimination (AUC=0.87), sensitivity (0.76), and specificity (0.81), which signifies strong predictive power. Analysis of feature-importance was conclusive with time, rate of frequent business travel and compensation …

Potential And Low-Cost Football Talents For Uae Clubs Based On Data-Driven Analysis, Rashid Alqemzi

Theses

The use of data analytics in professional football has changed the way clubs view, value and invest in players. Meanwhile, elite European teams have consistently exploited the data-driven strategies that offer them a competitive edge, but in up-and-coming football markets, such as the UAE Pro League, nepotism has remained strong, with reputation-based and agentdriven recruitment being the transformation choice of even the biggest profile moves. This work explores whether predictive analytics can discover hidden high-quality football talent from ”hotbeds” of talent including Brazil and Argentina, in a way that matches the economic capabilities of clubs in the UAE, given the …

Predicting Athlete Performance Using Machine Learning Models, Mohammad Abdulbasit Mohammad Alabdulla

Theses

The purpose of this research is to develop and assess multi-modal machine learning for robust performance analysis to predict athletic performance and evaluate injury risk. The study employed Data Analytics approach, where composite features, i.e., Training Stress and Recovery Score,were modelled to characterize training-recovery correlations. It had four different regression models (MLR, RFR, SVR, DNN) and four different classification models (Logistic Regression, RFC, SVM, DNN). DNN exhibited an increased degree of effectiveness in the forecasting Synthetic Performance Score (R2 =0.9998). Notably, the Random Forest Classifier (RFC) turned out to be the most valid predictor of injuries risk (F1-Score 0.7736; AUC-ROC …

Deepfake Audio Detection, Rashed Alfalasi

Theses

The rise of deepfake audio technology has introduced a serious threat to information credibility, personal security, and media integrity. This thesis investigates the application of machine learning techniques for detecting synthetic audio through the analysis of acoustic features, including Mel-Frequency Cepstral Coefficients (MFCCs), spectral centroid, chroma_stft, and zero-crossing rate. The dataset used in this study was sourced from Kaggle and contains labeled samples of real and fake audio clips. The research aimed to train and evaluate multiple machine learning models—Support Vector Machines (SVM), Random Forest, XGBoost, Logistic Regression, and Neural Networks—to determine the most effective approach for deepfake audio classification. …

Leveraging Ai In Traffic Monitoring For Improved Accident Prediction In Uae, Mahra Alattar

Theses

This paper investigates how Machine Learning (ML) models can be used in traffic surveillance and predict accidents in the United Arab Emirates (UAE). In spite of large infrastructure developments and stringent traffic laws, traffic accidents continue to be a major problem with an increase in fatalities and injuries. There is a gap in effective detection and responses since traditional monitoring and forecasting techniques are unable to capture the intricate, nonlinear, and time-dependent character of traffic patterns. This thesis fills that void by utilizing sophisticated the potential use of Artificial Neural Network (ANN), Recurrent Neural Network (RNN), Deep Neural Network (DNN), …

Supervised Learning For Predicting Mental Health And Burnout In Healthcare Workers, Afra Alfalasi

Theses

This study aims to predict and analyze burnout among healthcare workers using supervised machine learning techniques and Exploratory Data Analysis (EDA). Leveraging the Healthcare Workforce Mental Health Dataset, the research identifies key demographic, occupational, and psychological factors most strongly associated with burnout. The methodology involves data preprocessing, feature selection, and model training using algorithms such as logistic regression, decision trees, random forests, and gradient boosting. Model performance will be evaluated through standard metrics, including accuracy, precision, recall, and ROC-AUC. The expected outcome is a predictive framework that highlights high-impact burnout predictors and generates actionable insights to support early intervention and …

Chatgpt As A Mental Health Ally: A Study On College Students’ Adoption Of Ai For Therapy, Alya Albastaki

Theses

This research investigates college students’ use of ChatGPT for mental health support, addressing a population with high unmet mental health needs due to barriers like accessibility and cost. Through a mixed-methods study, which included a survey of 126 students and sentiment analysis of 1,200+ social media posts, the research examined adoption prevalence, gender influences, and perceived benefits and limitations. Survey findings show 40.5% of students use ChatGPT for mental health, especially those with self-reported challenges. Female students reported higher adoption, linked to greater mental health needs and openness to supplementary support. Key benefits included 24/7 access, anonymity, and low cost, …

Southern / Appalachian Migrants And Urban Development Politics In Uptown Chicago, 1950-1972, Charles Wayne Dowdy

Electronic Theses and Dissertations

This thesis investigates how ideas of interregional migration were used in service of urban renewal agendas in Uptown Chicago from 1950 to 1972. It argues that The South and Appalachia as regional ideas were impactful in postwar midwestern urban development politics, even as regional identity was less powerful as an adhering force for actual migrants in comparison with factors of race and class. Chapter 1 examines the development and use of the urban enclave model of interregional migration by the Uptown Chicago Commission in the late 1950s. It argues that anxieties around suburbanization and urban decline fueled the production of …

Beyond The Surface: Exploring The Experiences Of Black Female Athletes At Power 4 Institutions, Michonné Leatrice Gamble-Rivers

Electronic Theses and Dissertations

Black female athletes, have a long history of fighting for visibility and inclusion. They are celebrated and hyper-visible as performers on the court yet deemed invisible in the institutional decision making that shapes their holistic development and success. This Dissertation in Practice (DiP) challenges this structural problem looking to amplify voices that have been historically silenced by systems that reduce these individuals to mere athletic capital.

Beginning with Manuscript I, this three-manuscript dissertation is built on a conceptual framework anchored in Womanist Theory, Intersectionality, and Athletic Identity, providing the necessary critical lens to investigate challenges like double jeopardy and limiting …

The Relationship Between Exercise And Prospective Memory: A Meta-Analysis, Shaykhah Salman Alqahtani

Electronic Theses and Dissertations

Prospective memory (PM)—the ability to remember and carry out future intentions—is essential for everyday functioning. This cognitive process involves intention formation, retention, cue detection, and execution. Emerging research suggests that physical exercise may influence prospective memory performance through potential enhancements in attention, executive functioning, and neuroplasticity. This thesis examines the relationship between physical exercise and prospective memory through a systematic review and meta-analysis of the existing literature.

This review synthesized evidence from experimental studies to evaluate the effects of acute and chronic exercise interventions on prospective memory in diverse populations. Six studies met the eligibility criteria and were included in …

Racial And Ethnic Differences In The Associations Between Alcohol Use Disorder, Aggression, And Suicidality Among Adolescents With Ptsd, Gabrielle Armstrong

Electronic Theses and Dissertations

The comorbidity of posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD) is well documented and associated with elevated risk of aggression and suicidality among certain populations. However, no research to date has examined these associations among adolescents. Using data from the National Comorbidity Survey-Adolescent Supplement (NCS-A), the present study examined whether the presence of AUD was associated with greater outward aggression, suicidal ideation, and attempts, and whether these associations differed across race/ethnicity, in a weighted sample of 737,996 adolescents with PTSD (10.3% Hispanic, 16.4% Black, 73.3% White). AUD presence was significantly associated with higher odds of breaking items, attacking …

The Impact Of State-Mandated High-Stakes Standardized Testing On The Job Satisfaction Of Third-Grade Reading Teachers In Mississippi, Jenny Kate Ernst

Electronic Theses and Dissertations

This qualitative study examined how state-mandated standardized testing influences the job satisfaction of current and former third-grade reading teachers in Mississippi. Guided by Self-Determination Theory, Herzberg’s Two-Factor Theory, and the Job Demands-Resources Model, the research explored how accountability pressures shape teachers’ motivation, emotional well-being, and instructional autonomy. Data were collected through an open-ended online survey of current and former Mississippi third-grade reading teachers. Analysis of responses revealed four central themes: emotional strain and burnout, loss of autonomy and creativity, impact on instructional practices, and student impact. Findings indicated that teachers perceive standardized testing as a major source of stress that …

The Lived Experiences Of Lgbtq+ Individuals Living In Male Residential Spaces In The South, Bri Reda

Electronic Theses and Dissertations

While LGBTQ+ visibility on college campuses has increased, LGBTQ+ students still report negative experiences, particularly in residential environments where harassment and unwelcoming attitudes are common (Kortegast, 2017; Pryor, Ta, & Hart, 2016). Previous studies have shown that LGBTQ+ individuals often conceal their identities in residence halls due to discomfort, further diminishing their feelings of safety and connection to the campus community (Blakmon, O’Hara, & Viars, 2020; Pryor, Ta, & Hart, 2016). Despite efforts to implement inclusive policies, little research has explored the experiences of LGBTQ+ individuals in male-assigned residence halls, especially in states like Mississippi with gender-segregated housing requirements (Mississippi …

Reading Teacher Perceptions: The Impact Of Educator Preparation Program Literacy Coursework And Clinical Experiences On Teacher Efficacy In Historically Underrepresented Populations, Emily Taubken

Electronic Theses and Dissertations

Despite research that indicates the critical importance and lifelong impact of early reading proficiency for students, national reading proficiency trends demonstrate most students in the United States are not yet reading at grade level, with disparities existing among historically underrepresented subgroups. Additionally, research shows that preservice and in-service teachers have documented limited feelings of self-efficacy in teaching reading specifically, suggesting limitations in preservice training for educators. To better understand how reading teachers perceive the efficacy of their preservice teacher academic and clinical experiences, especially for those who serve historically underrepresented student populations, this study seeks to document the perspectives of …

Knowledge Acquisition On Mass-Shooting Events Via Llms For Ai-Driven Justice, Benign Ihugba

All Theses

Mass-shooting events pose a significant challenge to public safety because they generate large volumes of unstructured textual data, making it difficult to conduct effective investigations and formulate public policy. The proposed knowledge acquisition system utilized Large Language Models (LLMs) with few-shot prompting to extract vital information from news articles, police reports, and social media content at high speed. The system used entity recognition to detect vital information, which included offenders, victims, locations, and criminal instruments that support legal investigations. An experimental study conducted on actual mass-shooting datasets showed GPT-4o performs best for mass-shooting NER. The o1-mini delivered competitive performance while …

From Parallel Beginnings To Divergent Destinies: A Comparative Study Of China’S State-Led Liberalization Growth And Pakistan’S Dependency Trap, Safeer Ahmad

Electronic Theses and Dissertations

This study investigates the development trajectories of China and Pakistan, which shared a similar colonial legacy and hampered economic, political, and social conditions at the time of their establishment in the mid-20th century. However, despite these similarities, the former is a global power, and the latter is still struggling to project a sustained development approach in the 21st century. This research addresses this divergent outcome by using a comparative approach to analyze the institutional, economic, and policy decisions of both countries that eventually shaped their contemporary position and role in the international community. China’s reformation period under a centralized government …

Visualizing The Fretboard: Arpeggiated Patterns, Muscle Memory, And Neurocognitive Strategies For The 5-String Electric Bass, Matthew Alexander Woisin

Electronic Theses and Dissertations

Proficient navigation of the 5-string electric bass requires a comprehensive mastery of various techniques and a solid understanding of music theory. This includes a detailed grasp of arpeggios, chord extensions, and the development of deeply ingrained muscle memory for precise execution. This thesis introduces a structured methodology that refines existing fretboard visualization techniques and applies a unique manner of fretboard mapping, offering a more precise framework for comprehending and unlocking the full range of the instrument. By drawing insights from music theory, music education, cognitive science, neuroscience, and technology this approach is achieved by synthesizing research on visual pattern recognition, …

Distributed Agency And Posthuman Rhetoric In Genai-Assisted First-Year Composition Writing, Bianca E. Guzman

English Department Theses

This thesis explores the dynamic interaction between human and non-human agents in the process and production of writing. In particular, theories on the co-constitutive nature of the human-technological relationship, posthumanist theory, and rhetorical theory are used to reframe first-year writing as an act of distributive agency that always involves people, objects, and their material environments. In recognizing the essential role of “things” in first-year writing, this thesis considers how Generative Artificial Intelligence (GenAI) can be critically conceptualized and utilized as a pedagogical tool by instructors in the college writing classroom. Additionally, this thesis details an IRB-approved research study done at …

Early Childhood Educators' Perception Of Burnout: Impact On Educator Self-Efficacy, Teacher-Child Relationships, And Children's Emotional Regulation, Isaac M.D. Bowman

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Early childhood educators (ECE) play a critical role in the academic advancement and nurturing care provided to children in their care, a distinct difference in role and responsibilities compared to traditional K-12 schooling. Published by the Buffett Early Childhood Institute, a report pertaining to ECE turnover revealed a nearly 40% annual turnover rate. Factors ECEs previously attributed to their exit of the early childhood education field involve low wage, low self-efficacy, and dealing with challenging behaviors. While not an exhaustive list, in a field relying predominantly on routine and consistency, ECE turnover rate highlights a necessity in exploring potential indirect …

Ethnic Identity, Parental Involvement, And Academic Outcomes: A Qualitative Study Of African International Students' Experiences, Kenanile Olivia Marie-France Bigba

College of Education and Human Sciences: Dissertations, Theses, and Student Research

This qualitative study explored how parental involvement intersected with cultural backgrounds and values through ethnic identity formation among African international students, and how these interactions influenced students' self-concept clarity, self-esteem, and subsequent academic attitudes and performance. Using hermeneutic phenomenological methodology guided by van Manen’s (2023) approach, the study conducted in-depth, semi-structured interviews with African international students (one from East Africa, one from West Africa) enrolled at a Midwest university. Through systematic thematic analysis, five interconnected themes emerged: (1) Evolving Parental Involvement, from direct guidance to distant trust, revealing how parental engagement transforms across geographical distance with financial circumstances moderating this …

Public Perceptions Of Leadership Effectiveness In Ethiopia Over The Last Decade, Fikadu Reta Alemayehu

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Ethiopia is one of the largest countries in Africa, with a fast-growing economy, rich history, diverse agroecology, more than 70 languages, and a population exceeding 130 million. However, the country continues to face serious internal conflict, high malnutrition, and economic hardship, while the study of leadership effectiveness remains limited and lacks consistent longitudinal research. To help fill this gap, this study examined how public perceptions of leadership effectiveness and development outcomes changed in Ethiopia between 2013 and 2023, using Afrobarometer survey data. The analysis explored how citizens’ views about governance, wellbeing, and access to services evolved during a decade of …

Brands & Virtual Personas: How Virtual Influencer Types Impact Brand Awareness, Carol Calderon Ambelis

Department of Textiles, Merchandising and Fashion Design: Dissertations, Theses, and Student Research

As social media continues to shape how consumers interact with brands, virtual influencers (VIs) have emerged as a new type of digital celebrity. While previous research has explored how VIs contribute to brand image and awareness, there has been limited attention on how different types of VIs, both anime-like and human-like, affect consumer perceptions across different markets. This study examines how these two types of VIs impact relatability, aspiration, and brand awareness, with a focus on the differences between luxury and mass market. Using a within-subjects experimental design, this study recruited 574 participants with social media experience using MTurk. The …

Prevention Of Burnout Among Critical Care Nurses, Jenelle Balaoing, Junela Bautista

Nursing | Student Research Posters

Background: Nursing burnout is a state of mental and physical exhaustion caused by excessive stress among nurses. Critical care nurses face challenges with direct patient care that contribute to emotional and psychological strain that are greatly influenced by workplace adversity and emotional management. Purpose: This research examines the prevalence of burnout among pediatric and adult intensive care unit (ICU) nurses, highlighting particularly high rates of burnout among those with extended years of service. Method: ICU nurses will participate in a qualitative interview that involves open ended questions relevant among burnout and resilience during shifts. Aspects specifically years of critical experience …

Teachers' Evaluation And Reporting Orientations And Their Impact On Elementary Students' Motivation: A Secondary Analysis Of Ecls-K: 2011 Data, Melissa L. Lefebvre

Doctoral Dissertations

Few studies examine the specific component of teacher evaluation and reporting and its relationship with student motivation. Student motivation to learn and achieve is a fundamental element of academic success in school. Motivation has been linked to educational outcomes like curiosity, persistence, learning, conceptual understanding, and long-term achievement (Vallerand et al., 1992). Diminished motivation can lead to consequences such as higher dropout rates and increased anxiety. Research indicates that classroom climate and student-teacher relationships have the most significant impact on student motivation (Jansen et al., 2022). This dissertation explores the association of teachers’ evaluation and reporting practices with student motivation. …

Evolution Of Regulatory Pathways In Vibrio Fischeri Strains Impacts Biofilm Phenotypes And Symbiotic Capacity And Curriculum Interventions Differ In Their Impact On Microbiology Utility Value In Nursing Students, Jennifer Calawa

Doctoral Dissertations

Vibrio fischeri strains vary in their capacity to form mutualisms with animal hosts such as the Hawaiian bobtail squid Euprymna scolopes, yet these differences are often not explained by phylogeny. Successful colonization requires biofilm production, which is tightly controlled by a complex network of two-component system regulators including hybrid histidine kinases BinK and RemK, as characterized in the model symbiont strain ES114. Divergence in biofilm network architecture or regulatory logic may lead to strain-specific differences in biofilm formation, limiting symbiotic potential. Part I of this work investigates genetic divergence underlying reduced colonization capacity in strain H905, a planktonic isolate and …