Digital Commons Network^™

"That Was Something I Had To Get Used To”: Communication Challenges Of African Graduate Teaching Assistants, Mohammed Hafiz Nabila

Electronic Theses and Dissertations

This qualitative study examined the communication challenges and adaptive strategies of African Graduate Teaching Assistants (AGTAs) in U.S. higher education, focusing on East Tennessee State University. The study aimed to understand how AGTAs navigate linguistic, cultural, and institutional barriers in their teaching roles. Using semi-structured interviews with seven participants, data were analyzed through thematic analysis to identify key patterns and meanings. Findings revealed challenges related to accents, cultural adjustment, and limited institutional preparation. Faculty mentorship played a vital role in shaping AGTAs’ confidence, interpretation of challenges, and professional growth. However, lack of support often led to isolation and self-doubt. The …

Perceptions Of Practitioners: An Examination Of Practices For Retention And Support Of Special Education Teachers, Megan L. O'Dell

Electronic Theses and Dissertations

Teacher attrition remains a critical challenge in public education, particularly among special education teachers who face unique legal, instructional, and emotional demands. This phenomenological study explored the lived experiences of current and former K–5 special education teachers to better understand the practices and resources that influence their decision to remain in or leave the profession. The central research question investigated how leadership, professional learning, and working conditions shape teacher sustainability in special education roles. Twelve participants, including six currently employed special education teachers and six who had exited the profession, participated in semi-structured interviews. Data analysis revealed five major themes: …

Mountain Communities During A Time Of War: A Case Study Of The Hutsul Region In The Carpathian Mountains Of Ukraine, Pavlo Rybaruk

Electronic Theses and Dissertations

This thesis investigates the ethno-ecological technologies employed by the Hutsul people within the highland agrarian economy of the Carpathian Mountains. Over centuries, the Hutsuls have developed ethno-ecological technologies that maintain ecological integrity while supporting community livelihoods.

The study addresses three primary research questions: What are the most important ethno-ecological technologies of the Hutsul highland economy? How might these traditional ethno-ecological practices be applied to economic, agricultural, and tourism development in the Hutsul region? How might these traditional ethno-ecological practices be combined with contemporary approaches to encourage sustainable development in the region?

The research explores the devastating impact of the Russian …

Safety In Stability: A Cdc-Guided Evaluation Of Hospital Fall Prevention Practices, Matthew C. Dougherty

Electronic Theses and Dissertations 2020 - Present

Hospital falls remain a persistent and preventable cause of patient harm, emphasizing the need for continuous evaluation of fall prevention practices. This project assessed the effectiveness of AdventHealth Orlando’s fall prevention policy using the Centers for Disease Control and Prevention (CDC) Program Evaluation Framework. A mixed-methods design incorporated quantitative analysis of 12 months of fall data and qualitative feedback from frontline staff surveys and discussions. Results demonstrated a decrease in total falls from 549 in the previous year to 528 in the current year, indicating early progress despite the incomplete reporting period. Unit-level analysis showed a mean improvement of 16.9% …

From Awareness To Action: Improving Advanced Directives With The Five Wishes In College Aged Young Adults, Dina M. Giovanetti

Electronic Theses and Dissertations 2020 - Present

This quality improvement project aimed to increase early education, initiation, documentation, and completion rates of advance directives (ADs), specifically the Five Wishes, among college-aged young adults (18–24 years old) in a concierge primary care setting. The project addressed the low engagement and completion rates of ADs in this population, which can result in inadequate end-of-life care planning. The initiative involved training all staff members through collaborative instruction, informational sessions, and personalized provider-patient discussions. A convenience sample of eligible patients was identified via chart review. Inclusion criteria included English-speaking young adults aged 18–24, regardless of comorbid conditions who were members of …

Heartmath: A Stress Reduction Program For Healthcare Providers In An Addiction Treatment Setting, Dihana C. Ruiz

Electronic Theses and Dissertations 2020 - Present

Work-related stress significantly impacts the well-being of healthcare providers, specifically nurses and nurse practitioners, in addiction treatment facilities. This Quality Improvement (QI) project implemented the HeartMath Quick Coherence Technique to reduce stress and enhance resilience among staff, thereby improving the well-being of healthcare providers and the quality of care. The project utilized a pre- and post-intervention design with five participants, two registered nurses, and three nurse practitioners. Participants received training on HeartMath techniques, the EmWave Pro sensor, and the InnerBalance smartphone application. Over a six-week period, participants practiced Quick Coherence meditation for five minutes, twice daily, to achieve heart rate …

Persons With Alzheimer’S Disease And Related Dementias And Caregiver Burnout: A Quality Improvement Project, Reede A. Walke

Electronic Theses and Dissertations 2020 - Present

Alzheimer's Disease and Related Dementias (ADRD) represented an escalating public health challenge, profoundly affecting individuals, families, and healthcare systems. As the number of individuals diagnosed with ADRD rises, the prevalence of caregiver burden and burnout among those providing care also increases. The purpose of this quality improvement project was to evaluate the existing assessment processes for caregiver burnout and determine the effectiveness of the Zarit Burden Interview (ZBI), a measurement which identifies caregivers’ levels of stress, at a memory disorder center in south Florida. Sixteen caregivers reported overall mild-to-moderate caregiver burden, with a mean ZBI score of 22.19 (SD = …

The Effect Of Shared Decisions On Intertemporal Choice, Rosemarie M. Davidson

Masters Theses

Substance use disorders are a significant public health concern, and improving treatment outcomes requires a better understanding of the behavioral processes that influence drug consumption. Delay discounting, or the tendency to overvalue immediate reinforcers, is reliably more severe among individuals with substance use disorders. Recent work suggests that shared decision-making may increase tolerance for delayed rewards; however, prior studies used procedures that confounded delay to token delivery with delay to token exchange, limiting conclusions. The present study evaluates delay discounting across individual and social decision-making contexts using a traditional delay discounting paradigm.

Ten undergraduate participants completed sessions involving choices between …

Advancements In Visualization, Post-Processing And Ai-Enhanced Modeling Of Multi-Scale Micromechanics For Composite Materials, Joao Guilherme Brites Rei

Masters Theses

This study addresses some of the primary deficits of a localization/homogenization workflow for composite materials by focusing on the visualization and enhancement of models based on GMC and HFGMC, with emphasis on their implementation within the NASMAT ecosystem.

This thesis details the development of two dynamic, ParaView-based plugins that convert large hierarchical simulation outputs into interactive insights. While NASMATDiscreteElement systematizes RUC creation with transparent parametrization in a reproducible GUI, NASMATExplorerRUC enables the inspection of deeply nested datasets through accurate cell picking and synchronizes comparisons between parent and child views. Additionally, a shallow U-Net neural network is optimized on HFGMC data …

Evaluating Psychosocial Stressors And Mental Well-Being Of Construction Professionals From The Management Standpoint: An Exploratory Study, Md Tauhidul Karim

Masters Theses

Construction professionals face persistent workplace stressors that undermine their mental well-being outcomes. Despite progress in general job-related stressors, social and interpersonal aspects of psychosocial stressors traditionally remain underexplored in the construction management research. The present study examines how social and interpersonal factors influence construction workers’ mental well-being and how management’s awareness, responsiveness, and strategic roles evolved in the transition of the COVID-19 pandemic at the organizational level. An integrative mixed-methods approach was employed, combining a systematic literature review, a bibliometric analysis, and an exploratory case study to capture the current landscape of mental well-being and management standpoints in the US …

An Investigation Of Collateral Activity Effects On Behavior Maintained By A Drl 72‑Second Schedule, Cassidy M. Graham

Masters Theses

Impulsivity is a key behavioral trait with broad implications for clinical disorders such as Attention Deficit Hyperactivity Disorder ADHD, and substance use disorders SUD, where impaired inhibitory control contributes to maladaptive outcomes. In preclinical research, animal models provide valuable tools for examining behavioral processes associated with impulsivity. The Differential Reinforcement of Low Rates (DRL) schedule, offers a precise measure of response inhibition and timing by requiring subjects to withhold responses for reinforcement. This study employed DRL72s schedule to investigate impulsive action in male and female Sprague-Dawley rats, with an emphasis on sex-based differences and the potential influence of environmental factors. …

"Gross Normality" And "Marked Deviation": A Qualitative Study Of Disability Theory In Three Periods Of Sociological Literature, Kelsey Sullivan

Masters Theses

In the 20th century, three theoretical perspectives concurrently dominated sociological discussions of disability. Functionalism and Talcott Parsons argued for a pathologized framework in the form of a “sick role” occupied by disabled people. Interactionism and Erving Goffman emphasized the stigmas faced by individual disabled people, and the ripple-effects of those stigmas. Finally, disabled activists, inspired by social constructionism, championed the social model of disability. This model purported that disability is a social condition, resulting from systemic barriers imposed upon people who do not fit the mental or physiological norm. This project, through a content analysis of 30 historical journal articles, …

Analyzing The Hidden Impact Of Work Stress On Mental Health, Shaikha Aljabry

Theses

Occupational stress and deteriorating mental health constitute an increasing issue in the global community, and the problem of how job demands, personal resources, and cognitive processes interrelate to determine employee well-being is hardly known. This dissertation will study these dynamics by incorporating theory-driven Structural Equation Modeling (SEM) with data-driven Machine Learning (ML) methods that offer explanatory and predictive information. The study examines the influences of job demands, personal resources, effort–reward imbalance (ERI), emotional labor, cognitive appraisal, and social support on the stress and mental health outcomes of a sample of 5,000 employees working in various industries and regions of the …

Rise Of Social Media Hacking: Ai-Based Ip Tracking For Uae Law Enforcement, Mounikha Naarrayen Chakravarthula

Theses

Social media has evolved into a critical channel for communication, expression, and public influence, but it has also become a prevalent avenue for cybercrime, particularly in digitally advanced nations such as the United Arab Emirates (UAE). The rising complexity of online offences, coupled with anonymisation tools and cross-border digital behaviour, has made the attribution of social-media-based cyber incidents increasingly challenging for law enforcement. In this context, artificial intelligence (AI) offers the potential to strengthen digital investigations by providing intelligent, scalable, and evidence-driven attribution capabilities. This research develops an AI-assisted Internet Protocol (IP) attribution framework tailored specifically for UAE law enforcement …

Unmasking Corruption And Bribery Using Predictive Analytics, Maha Salem

Theses

The initiative (Unmasking Corruption and Bribery Using Predictive Analytics) aims to identify employees in government sectors who commit corruption and bribery by addressing issues such as the lack of transparency, fairness, equality, and public trust, as well as weakened loyalty and poor reputation. This project focuses on data analytics and predictive modeling to detect suspicious or high-risk employee behaviors related to corruption and bribery. The main objective is to reduce these unethical activities in government sectors, strengthen integrity, and promote transparency and public trust through predictive capabilities. It also seeks to raise awareness about how serious and harmful these crimes …

Predicting Mental Health Risk In Remote Workers: A Machine Learning Approach, Majed Al Mheiri

Theses

This dissertation explores the application of machine learning in mental health risk prediction of remote workers, which is increasingly becoming a significant issue, with the practise of flexible working reshaping organisational practises. It is based on the theoretical framework that has been used previously such as Job Demands Resources model and Stress-Strain model which emphasise the role of workload, support systems and personal resources in determining the well-being of employees. The context of the study indicates the growing rate of remote and hybrid employment, and the associated increase in the number of issues associated with stress and isolation, as well …

Comparative Analysis Of Machine Learning Models For Spam Email Detection, Rashed Almarri

Theses

The current research examines one of the most effective approaches to spam email detection based on machine learning and natural language processing (NLP). The study is placed in the context of the rising cyber threats and the influx of emails, where the spam/ham data is to be classified correctfully using the combination of the Logistic Regression, NLP (including tokenization, lemmatization, and TF-IDF vectorization). The questions of the research were devoted to the efficiency of such an approach and the interpretation of its results. The data used are obtained by a publicly available Kaggle data set that contains 5,572 labeled email …

Persuasive Pathways In Digital Apologies: The Role Of Persuasion Routes In Engagement With Youtuber Apology Videos, Darrin Majocha

Theses

This study explores how viewers process YouTube apology videos and how those processing methods relate to their judgments of the creator and their willingness to continue engaging with the channel. Guided by the Elaboration Likelihood Model, a single-session online survey experiment randomly assigned 413 adult participants to watch one of five publicly available apology videos from well-known YouTubers. After viewing, participants reported the extent to which they engaged in central versus peripheral processing, rated the creator's credibility and the apology's sincerity, and indicated their intentions to engage. Central processing was positively associated with engagement intentions, whereas peripheral processing was weakly …

An Interpretable Machine Learning Framework For Detecting Phishing Urls Based On Lexical Features, Khalid Alrokhaimi

Theses

Phishing attacks represent one of the most significant and persistent threats in the cybersecu- rity landscape, with attackers increasingly using sophisticated URL manipulation techniques to deceive users and steal sensitive information. Traditional detection methods, which rely primarily on blacklists and heuristic rules, struggle to identify zero-day phishing URLs that have not yet been catalogued in security databases. This research addresses this critical gap by developing an interpretable machine learning framework for detecting phishing URLs usingclexical, structural, content-based, and domain metadata features. The study employs a comprehensive dataset of 11,430 labeled URLs (5,715 legitimate and 5,715 phishing) with 87 extracted features, …

Predictive Maintenance For It Equipment Using Machine Learning Models, Rashed Khalid Alshirawi

Theses

Predictive maintenance was recently introduced as a paradigm shift in the field of smart manufacturing, and it allows organizations to predict equipment failures and streamline maintenance planning based on the data-driven insights. The present work addresses the concept of the implementation of a decision tree-based predictive maintenance model based on AI4I 2020 Predictive Maintenance Dataset, a simulated environment of an actual industry through sensor data including temperature, torque, rotational velocity, and toolwear. The study uses a quantitative approach that is based on positivism philosophy, which is the focus on objectivity, empirical validation, and statistical testing of the model performance. Synthetic …

Whisper Wall: Transforming Global Superstitions Into A Unified, Sound-Reactive Immersive Experience, Hardika Nitin Patil

Theses

Superstitions, often dismissed as irrational in today’s data-driven world, remain deeply rooted in human culture and behavior, offering meaning and a sense of control amid uncertainty. Whisper Wall is an immersive, sound-reactive installation that invites audiences to explore these enduring beliefs through whispered audio narration and symbolic, shadow-inspired visual storytelling. This project re-engages audiences with rich, cross-cultural superstitions, encouraging reflection beyond skepticism to thoughtfully examine their origins and significance. Blending visual communication, motion design, sound, and interaction, Whisper Wall creates a multisensory experience where users activate intimate stories via interactive elements—whisper-like audio delivered through red paper cups coupled with minimalist, …

The Impact Of The 2008 Financial Crisis On Crime And Cybercrime In The United States, Rashed Adel Alsuwaidi

Theses

This thesis will examine how the traditional crime and cy- were affected by the 2008 financial crisis. United States are also experiencing a rise in crime between 2005 and 2012. Based on the FBI data at the national level. The Internet Crime Complaint Center (IC3), Uniform Crime Reports and important economic indicators. The study, which involves tors, including unemployment, GDP, rates of foreclosures, and mortgage rates, is a combination. correlationbased interpretation supported by exploratory descriptive trend analysis. model-fit checks. The results indicate that contrary to the conventional expectations, violent and property crime also maintained their long-term reduction during the period …

Play Of Curiosity: A Table-Top Game That Cultivates A Creative Attitude By Encouraging Curiosity In Young Adults, Kajal Shah

Theses

In a time that increasingly demands instant creativity, adaptability, and innovative thinking on a constant basis, nurturing a curious attitude among young adults must become a critical focus. Creativity and curiosity can be encouraged throughout various stages of life, and for myriads of personality types, the focus demographic of this paper is young adults, ages 18 to 26 years old. Young adulthood is when one starts to recognize post-formal thoughts. This stage of cognitive development helps to approach concepts beyond binary thinking, developing the unique abilities of ambiguous thinking and relativism. The enigmatic, ever-changing, and easygoing mind will often try …

Strainx : A Technical Exploration Of Cinema4d'S Native Particle System In An Experimental Title Sequence, Farah Ahmad

Theses

This paper presents a practice-based investigation into the capabilities of Cinema 4D’s native particle system through the creation of an experimental title sequence titled StrainX. The project was conceived as a technical and aesthetic exploration, prioritizing abstraction, form, and motion over narrative content. Through iterative testing and simulation, the study examines how Cinema 4D’s built-in particle, geometry, and material tools can generate visually complex results without relying on third-party plugins, such as X-Particles. All assets, simulations, and textures were developed natively within Cinema 4D, allowing for a unified and efficient workflow. The methodology emphasizes procedural experimentation, simulation caching using Alembic …

Optimizing Human Resource Decisions: Predicting Promotions Using Data Analytics, Mohammad Khalid A Mohammad Abdulrahim

Theses

Proper and objective selection of high potential employees to promote them is a major dilemma in the Human Resources (HR) department, more so in sensitive and hierarchal environments in the public sector where subjectivity is likely to take place. This paper is based on this ubiquitous issue, and it seeks to develop, experiment, and examine a clear and equitable machine learning model that can forecast the possibility of an employee to get a promotion according to organized past HR records. The technique was solid preprocessing, alleviation of extreme class imbalances on the basis of the Synthetic Minority Over-sampling Technique (SMOTE), …

Work And Play In Tandem: A Brief Study Of Familiar Silhouettes In The Contemporary Workplace, Tanisa Bose Samaddar

Theses

This thesis addresses the limitations posed by conventional office furniture, and its impact on human psychological and physiological well-being. Drawing upon literature that delves into the topics of neuroscience of play, environmental psychology, and emotional sustainability, the thesis seeks to solve these issues through design modifications. It aims to understand how brief, movement-focused breaks can help rejuvenate executive functioning, uplift mood, and encourage bursts of social interaction. A five-stage prototyping process, thumbnail sketches, clay models, 3D modeling, full-scale drawings, and iterative Fusion360 refinements, later Tandem was born. By requiring at least two users to operate its see-saw mode, Tandem counteracts …

A Ux Approach To Improving Patient Experience In Healthcare, Lingxin Sun

Theses

Doc Ease is a UX research and design project that addresses the emotional and functional difficulties patients experience before visiting a doctor. Through user interviews, competitive analysis, and design iteration, this project identified key user pain points such as unclear appointment processes, lack of trust, and pre-visit anxiety. The resulting mobile app offers clear booking tools, visual doctor information, medication reminders, and an emotional wellness module to help patients prepare with confidence. The project contributes to the field of healthcare UX by integrating functional usability with emotional care, proposing a design framework that centers patient experience in both logic and …

Hyaluronic Acid Loaded With Aloe Vera-Derived Extracellular Vesicles: A New Bioactive Approach For Fibrotic Scarring, Maria Camila Ceballos Santa

Theses

Disruptions in wound healing can result in pathological outcomes ranging from chronic nonhealing wounds to excessive fibrotic scarring. Hypertrophic scars and keloids are hallmarks of this dysregulation, characterized by abnormal collagen deposition, persistent myofibroblast activation, and disorganized extracellular matrix (ECM) remodeling. Chronic inflammation and oxidative stress play central roles by increasing reactive oxygen species (ROS), which damage essential macromolecules and sustain pro-inflammatory signaling, while promoting the transdifferentiation of fibroblasts into myofibroblasts and the excessive production of ECM proteins, such as collagen and α-smooth muscle actin (α-SMA). This fibrotic cascade leads to tissue stiffness, contractility, and disfigurement, affecting the well-being of …

Observed Parenting, Parent-Child Aggression, And Intimate Partner Violence As Predictive Of Family Dysfunction, Paige Munshell

Psychology Theses & Dissertations

Family systems theories contextualize violence as occurring across multiple levels of the family, yet much of the existing literature focuses on a single family member’s outcome (i.e., the child) and neglects to include data collected from fathers. This study examined the associations between indicators of functioning at the dyadic-level in the family system—observed parenting, Intimate Partner Violence (IPV) perpetration, and Parent-Child Aggression (PCA) risk—and later overall family dysfunction. Participants were 180 mothers and 144 of their male partners evaluated when their child was 18 months old and re-evaluated at 4 years old. Measures of observed parenting, IPV perpetration, and PCA …

Leading With All The Feels: Exploring The Perceptions Of Middle School Administrators' Implementation Of School-Wide Social-Emotional Learning Programming, Sabrina Smith Richardson

Teaching & Learning Theses & Dissertations

Middle school administrators have multiple responsibilities that range from ensuring the safety and security of staff and students to overseeing the curriculum and instructional foci of their buildings. At the same time, middle school students are experiencing the early stages of adolescence. Because it is a complex time for students to navigate, it creates anxiety, a decline in academic achievement and motivation, and peer and academic pressures (London, 2022; Schlund, 2021). Middle school students have social-emotional needs that are not typically met in secondary schools, which means programming is not typically a part of the instructional day. This study examined …