Digital Commons Network^™

The Impact Of Artificial Intelligence And Neuro-Linguistic Programming On Candidate Assessment In Talent Acquisition, Amna Fahim

Dissertations

Digitalization in human resource management led to the implementation of Artificial Intelligence (AI) and Neuro Linguistic Programming (NLP) in recruitment practices. However, although AI and NLP were adopted globally, the empirical evidence in emerging countries, especially Pakistan, was scanty. Hence, this study investigated the impacts of individually and jointly implementing AI and NLP on candidate assessment outcomes in the telecommunications industry in Pakistan. According to the literature, this study is grounded in Technological Determinism, Machine Learning Theory, Psycholinguistic Theory, and Cognitive Behaviorism. A quantitative correlational approach was used in this study. To investigate the proposed research questions, descriptive statistics, Pearson …

Well-Being, Resilience, And Trauma During Migration: A Mixed Methods Study Of Venezuelan Migrants In Transit, Margaret S. Port

Dissertations

A substantial body of research has examined the psychological impact of experiences preceding and following migration, yet comparatively little attention has been given to the psychological toll of the migration journey itself. Moreover, due to the relative novelty of the Venezuelan migrant crisis and the community’s arrival in the United States, the psychological impact of Venezuelan migrants’ unique migration experience has been underexamined. This study utilized an explanatory sequential mixed methods design to investigate the relationships between well-being, resilience, and trauma among Venezuelan migrants in Chicago, Illinois, while also exploring their lived experiences of the migration journey. Study participants (n …

From Campus To Community: The Role Of Higher Education In Strengthening Regional Entrepreneurial Ecosystems In Appalachia, Anne M. Montgomery

Dissertations

This study addresses a gap in understanding how small, rural liberal arts higher education institutions (HEIs) in the Appalachian College Association Entrepreneurial Alliance (ACAEA) support regional entrepreneurial ecosystems (EEs), and how, if at all, those strategies vary across Appalachian Regional Commission (ARC) county economic classifications. Using a qualitative multi-case design, the study examined 10 ACAEA institutions and drew on semi-structured interviews, site observations, institutional documents (including strategic plans), and ARC county-level economic data. The analysis produced five cross-case themes describing how these institutions support entrepreneurship: (a) strategic leadership and institutional culture, (b) experiential and embedded entrepreneurial education, (c) community-driven partnerships …

Long-Covid And Cognition, Mychael Bruce

Dissertations

COVID-19 is an evolving virus that can harm the body’s respiratory and cardiovascular systems. Directly related to COVID-19 are individuals who do not recover from their initial infection, making them long haulers. Long-COVID is transitioning from a range of isolated phenomena to higher prevalence rates in patients who contracted COVID-19. Many individuals report issues with cognitive function, referred to as ‘brain fog’, that affect memory, attention, and even language skills. This literature review addresses the available research on Long-COVID and how persistent infection correlates with cognitive difficulties. It aims to explain the neurobiology of Long-COVID and how Long-COVID interacts within …

Exercise Therapy For Mood Disorders In Retiring/Former Athletes, Christian Antos

Dissertations

This dissertation examined the potential integration of exercise therapy and psychotherapy as a treatment approach for mood-related difficulties experienced by former elite athletes during the transition out of competitive sport. Retirement from athletics is often associated with significant biopsychosocial challenges, including disruptions in identity, healthy routines, social support, and emotional well-being. Existing literature suggests that exercise may serve as an effective adjunctive intervention for improving mood and overall psychological functioning, though limited research has explored its application among retiring athletes within psychotherapeutic contexts. This literature review synthesized current research related to athletic retirement, neurobiological mechanisms associated with physical activity, and …

The School To Prison Pipeline From The Inside Out: Survivor Narraitves, Nina M. Koufalias

Dissertations

This dissertation examines the lived experiences of two Latino men who traversed the school-to-prison pipeline in the 1980s. The purpose of this study is to investigate how intersecting systems of racism, ableism, poverty, and exclusionary school practices shaped their educational trajectories and contributed to their incarceration. Three overarching research questions guide this inquiry: (1) What can be learned from the stories of two formerly incarcerated relatives that sheds light on how the school-to-prison pipeline is lived? (2) How do their narratives illustrate the impacts of exclusionary discipline policies, such as zero-tolerance, on educational opportunities and life outcomes? (3) How does …

The Impact Of Wicor Strategies On Academic Achievement In Secondary Classrooms, Neketa G. Watson

Dissertations

This mixed-methods study examined the impact of Writing, Inquiry, Collaboration, Organization, and Reading (WICOR) instructional strategies on academic achievement and student learning in secondary schools. Conducted within a large, diverse school district, the study explored teacher and administrator perceptions of WICOR implementation and examined student achievement data across three secondary schools. Data were collected through Likert-scale surveys from 29 teachers and five administrators, semi-structured interviews with five administrators, and three years of extant state assessment data. Findings revealed strong positive perceptions of WICOR’s effectiveness in promoting student engagement, critical thinking, instructional consistency, and academic success. Participants also identified implementation challenges …

Disability Employment In Côte D’Ivoire: Human Resources Managers’ Experiences And Challenges, Kinanpy Vanessa Toure

Dissertations

This study examined the critical role of human resource (HR) managers in promoting workforce integration and addressing the persistent barriers faced by people with disabilities (PWDs) in Côte d'Ivoire. Focusing on the perspectives, challenges, and lived experiences of HR managers, the research explored how inclusive workplace practices were developed and implemented within the Ivorian context. Employing a qualitative case study design, the study utilized semi-structured, scenario-based interviews and analyzed allowable public documents, specifically the Ivorian Labor Code, a relevant NGO publication addressing disability inclusion in Côte d’Ivoire, and the publicly available websites of participating organizations. This approach was intended to …

Attachment Style, The Working Alliance, And Client Self-Disclosure In Individual Psychotherapy, Jennifer S. Baar

Dissertations

Client self-disclosure is a core component of the psychotherapy process and increased levels of client self-disclosure have been shown to predict more positive therapeutic outcomes (Pattee & Farber, 2008; Sloan & Kahn, 2005). Similarly, the working alliance and attachment are constructs that have been studied in psychotherapy research and are consistently associated with therapeutic outcomes. Specifically, stronger working alliance ratings and higher levels of secure attachment have been found to predict more positive therapy outcomes (e.g., Flückiger et al., 2018; Mallinckrodt et al., 2005; Sauer et al., 2010). As these three constructs have been found to influence psychotherapy outcomes, the …

Evaluation Associations As Catalysts For The Professionalization Of Evaluation Practice: A Comparative Case Study Of Brazil, Ghana, Indonesia And Uganda, Amy C. Jersild

Dissertations

Professional associations are recognized as key actors in promoting the development of the evaluation field across the globe. There has been exponential growth of Voluntary Organizations for the Professionalization of Evaluation (VOPEs) in the Global South in the past several decades in response to an evolving international aid agenda and a mobilized international evaluation field intent on supporting the development of national monitoring and evaluation systems and the professionalization of the field. VOPEs have featured as a central actor in the Global Evaluation Agenda, an initiative developed by the international community aimed to promote professionalization of the evaluation field as …

From Total Domination To Graph Coloring, Sawyer Isaac Osborn

Dissertations

A question involving a chess piece called a prince on the 8×8 chessboard leads to a concept in graph theory involving total domination. We say a vertex u in a graph G totally dominates a vertex v if u is adjacent to v. A subset S of the vertex set of a graph G is a total dominating set for G if every vertex in G is totally dominated by at least one vertex of S. If S is a total dominating set of G, then σ_S(v) denotes the number of …

Effectiveness Of Tiered Supports In Mathematics, Dominique L. Brown

Dissertations

Mathematics proficiency has remained a persistent national challenge, with many students failing to meet grade-level expectations. This mixed-methods program evaluation examined the effectiveness of mathematics intervention strategies within Multi-Tiered Systems of Support (MTSS) for students in Grades 3–8. Guided by utilization-focused evaluation, the study explored educator perceptions, implementation practices, and system-level challenges. Quantitative data were collected through an anonymous survey (n = 19), and qualitative data were obtained from one semi-structured interview. Descriptive statistics and inductive coding were used for analysis, with extant data providing contextual support. Findings indicated that small-group instruction was perceived as highly effective; however, inconsistencies in …

The Impact Of Religious Behaviors, Islamophobia, Gender Roles, Language Proficiency, And Education Levels On Mental Illness Stigma And Help-Seeking Behaviors Among Arab Women In The U.S., Rima Muhsen

Dissertations

The official U.S. census does not provide data on the number of Arab Americans in the United States, which hinders studies that focus on this population group to explore their needs and improve access to mental health services. Arab women in America represent a subgroup that has received insufficient attention from researchers, particularly regarding culturally sensitive topics such as mental health problems and their associated stigma. The influence of cultural, social, and religious factors on self-stigma associated with mental illness has not been adequately studied among this marginalized group. While previous research has suggested a relationship between self-stigma, social stigma …

Understanding And Enhancing Suicide Prevention Strategies In The Military: The Roles Of Culture, Leadership, And Command Climate, Kelly Johanna Pires

Dissertations

Military service members are shaped and molded to fit a military culture that emphasizes mission readiness and continuous preparedness. Countless hours are spent training for various situations that can arise. Many trainings are geared toward worst-case scenarios that can cause an increase in stressors and traumatic events. They are expected to demonstrate resilience and overcome adversity to remain mission-ready. This expectation to be mission-ready creates the space for mental health difficulties as well as stigma and avoidance of help-seeking behaviors. In many cases, the desire to stay mission-ready creates a barrier for conversations around mental health. The military emphasizes qualities …

Evaluation Of Neuroplastic Changes In Psychological Intervention And Contemporary Treatments Of Depression, Taylor Severance

Dissertations

Major depressive disorder is one of the most prevalent mental health disorders worldwide. There is a vast range of treatment options for depression, with varying levels of effectiveness. Recent treatments for depression have expanded, increasing alternative treatments, and it is unknown which treatments have the largest impact on depression. This research was designed to examine the treatments of depression, with a focus on psychotherapy and contemporary treatments such as ketamine, psilocybin, and transcranial magnetic stimulation. A literature review was conducted to assess treatment outcomes and neuroplastic changes in these interventions, as well as combinations of the interventions. Data were evaluated …

Evaluating Equity In 9th And 10th Grade Ela Instruction, Alana Brown

Dissertations

Persistent racial disparities in English Language Arts (ELA) achievement remain a critical challenge in secondary education, particularly for Black students. This mixed-methods study examined the reading proficiency gap between Black and White students in Grades 9 and 10 on the state under study’s reading assessment. The purpose was to identify effective instructional strategies, necessary resources, and implementation processes to reduce the gap and ensure sustainability. Findings indicated that culturally responsive instruction, targeted intervention, and data-informed instructional coaching improved student engagement and reading performance. However, inconsistent implementation and limited early literacy foundations remained significant barriers. Recommendations include strengthening professional learning communities, …

Diverse Families Navigating Mental Health At The Pediatrician’S Office: A Mixed Methods Exploration Of The Interplay Of Stress, Culture, And Child Mental Health In The Primary Care Setting, Sara B. Budowsky

Dissertations

Low-income and ethnic minority youth experience high psychiatric need but persistently low participation in traditional mental health care. General pediatricians are often the first and only healthcare providers with whom many families engage around their child’s emotional and behavioral development. Using both quantitative analysis of retrospective secondary data and Interpretative Phenomenological Analysis (IPA) of in-depth interviews with diverse caregivers, this project explored influencers of child mental health and family utilization of pediatric primary-care-based mental health services in the context of a uniquely multicultural clinic serving a predominantly Medicaid population. Three key findings include: 1) Caregiver Stress was a highly significant, …

The Motherhood Contract: Mental Load, Moral Risk, And Gendered Care In Contemporary Parenting And Digital Culture, Stephanie J. Stallman

Dissertations

This dissertation examines childcare as a site of gender inequality shaped by cultural norms, structural barriers, and digital discourse. Despite increased awareness of shared parenting ideals, mothers predominantly bear the “mental load.” This study introduces the idea of a motherhood contract: implicit expectations that mothers are responsible for managing children’s needs. Two research questions guide this study. (1) What are parents’ experiences of managing the mental load of caregiving? How do they make sense of these experiences within the gendered and moral expectations shaping family life? (2) How are cultural ideas about childcare and parenting constructed, circulated, and reproduced through …

The Impact Of Reliable Backup Childcare Services On Work-Life Balance And Stress Levels Among Working Parents, Christiana Arhin

Dissertations

The purpose of this study is to investigate the relationship between access to reliable backup childcare services, work-life balance, and stress levels among working parents. Building on Arhin’s (2025) research, this study seeks to address limitations in sample diversity and incorporate qualitative methods to gain deeper insight into these variables. Using a mixed-methods approach, the study will examine how access to backup childcare services influences work-life balance and stress levels, with a focus on capturing both quantitative trends and qualitative perspectives of working parents. By exploring these relationships, the study aims to provide a more comprehensive understanding of the role …

Perceptual And Geometric Advances In Crowd Simulation, Bilas Talukdar

Dissertations

Simulating realistic crowd motion remains a fundamental challenge in computer graphics and multi-agent systems, as it requires modeling both physically plausible interactions and perceptually natural behaviors. Existing crowd simulation methods typically employ simplified geometric abstractions, most commonly circular agent representations, and model navigation using either analytical interaction formulations (e.g., force, velocity, or constraint-based methods) or learned policies derived through reinforcement learning. Despite their effectiveness, these approaches often overlook detailed geometric structure and do not explicitly account for perceptual realism. This dissertation addresses these challenges by improving the realism of virtual crowd simulation through two key advancements: perceptual preference learning and …

Principles Of Privacy And Security In Artificial Intelligence And Applications, Khang Tran

Dissertations

Modern artificial intelligence (AI) systems have transformed critical domains such as healthcare, software engineering, finance, and the legal system. Despite their broad impact, concerns about trustworthiness, especially regarding privacy and security, remain major obstacles to wider adoption. Addressing these concerns requires both a systematic understanding of the privacy and security risks inherent in AI systems and the development of principled foundations for trustworthy AI that safeguard client privacy and security. This goal is particularly challenging because of the complexity of modern large-scale AI systems, the trade-offs between privacy and model utility, and the need to simultaneously ensure other important properties …

Mechanics And Physical Attributes Of Nature-Based Alterations: Rock Reinforcement And Urban Heat Island Assessment, Mary Chikondi Ngoma

Dissertations

Ground improvement is critical to geotechnical and geo-engineering systems, where modification of the properties of geomaterials (rocks and soils) is required to maintain stability and prevent failure of infrastructure installed within and around them. This need has become increasingly important with rapid urbanization and population growth, which intensify demands on surface and subsurface systems and further challenge the performance of supporting geomaterials. As a result, there is growing interest in nature-based solutions, particularly biologically mediated processes such as biocementation, which can enhance the physical, hydraulic, and mechanical properties of geomaterials while offering environmentally sustainable alternatives to conventional ground improvement techniques. …

Enabling Ml/Ai In 6g And Future Wireless Communication With Privacy Preservation, Mec Offloading And Quantum Computing, Changshi Zhou

Dissertations

The forthcoming sixth-generation (6G) and future wireless networks are envisioned to support an unprecedented range of services, delivering ultra-low latency, massive connectivity, and intelligent real-time responsiveness. These capabilities will enable emerging applications such as extended reality (XR), autonomous vehicles (AVs), industrial robotics, and the Internet of Things (IoT) to reach their full potential. Achieving this vision requires the integration of enabling technologies such as artificial intelligence and machine learning (AI/ML) and quantum computing, which are poised to play central roles in shaping the landscape of wireless communication systems.

In AI-native, data-driven, and computing-centric 6G networks, ML models will be deeply …

Differential-Geometric Methods For Neural Signed Distance Fields: Parameterized Surface Extraction And Curvature Regularization For Cad Models, Haotian Yin

Dissertations

Neural signed distance fields have emerged as a powerful framework for representing three-dimensional geometry through continuous and differentiable neural functions. Their flexibility, resolution independence, and compatibility with gradient-based optimization make them especially attractive for surface reconstruction and geometric learning. However, despite these advantages, two fundamental challenges remain for engineering-grade applications. First, higher-order geometric properties such as curvature are difficult to model reliably during training and often require computationally expensive second-order differentiation. Second, while neural signed distance fields provide implicit surface representations, they do not directly yield a globally consistent forward map or parameterization for downstream geometric processing.

This dissertation addresses …

Holistic Dram Enhancements: From Intrinsic In-Memory Operations To Robust Security Mechanisms, Ranyang Zhou

Dissertations

Dynamic Random-Access Memory (DRAM) is both the performance bottleneck and a critical security boundary of modern computing systems. Its physical properties make it an attractive substrate for near-data computation—yet those same properties expose it to disturbance-based hardware attacks. This dissertation argues that these two dimensions are not independent: the architectural choices that make DRAM efficient also reshape its threat landscape. Addressing both requires a unified approach to memory architecture and security co-design.

The first part of this dissertation attacks the memory wall through four processing-in-DRAM (PIM) frameworks. ReD-LUT and LT-PIM unify lookup-table arithmetic with charge-sharing logic, achieving up to 37.8x …

Vergence Task-Based Neural Pathways With Binocularly Normal Vision And Comorbid Persistent Post-Concussive Symptoms -Convergence Insufficiency, Ayushi Sangoi

Dissertations

Binocular dysfunctions are more prevalent in the persistent post-concussive symptoms (PPCS) population than in the general population. The most prevalent binocular disorder is convergence insufficiency (CI), affecting 3-17% of the general population and up to 10 times as many people with PPCS. CI makes it difficult to fuse or maintain fusion on targets at near, and its symptoms include double or blurry vision and headaches when performing close-range tasks such as reading, which can exacerbate PPCS symptoms. Given controversy over the subjectivity and effectiveness of diagnostic tools and symptom surveys for both PPCS and CI, understanding why CI has high …

Disentangling Non-Thermal Electron Injection And Decay In Solar Flares Using Multi-Wavelength Radio Observations, Brian Eugene O’Donnell

Dissertations

The broadband microwave imaging spectroscopy capability provided by the Expanded Owens Valley Solar Array (EOVSA) allows new diagnostics of high-energy processes in solar flares, providing spatially and temporally resolved spectra rich in information about the acceleration and transport of energetic electrons.

In this work, injections and transport of energy and particles into the solar corona during flares are studied. This is accomplished through the development and use of the PIP_Decomp Fitter, an automated fitting tool made by the author to fit injection and precipitation/decay parameters using the spatially resolved radio spectra obtained by EOVSA. These tools are used to study …

A Generative Ai-Driven Computational Framework For Industry-Scale Discovery Of Novel Battery Materials, Joy Datta

Dissertations

The growing demand for sustainable, high-energy-density electrochemical storage has motivated the exploration of multivalent-ion batteries based on earth-abundant elements such as aluminum, calcium, magnesium, and zinc. While multivalent charge carriers offer higher theoretical energy density than lithium, their practical deployment is hindered by sluggish ion transport, strong ion-host interactions, and structural degradation of electrode materials. Identifying host materials that can reversibly accommodate multivalent ions while maintaining structural integrity remains a fundamental challenge. The dissertation develops a scalable, end-to-end computational framework that integrates density functional theory (DFT), machine learning (ML), and generative artificial intelligence (GenAI) to accelerate the discovery of next-generation …

Toward Learning-Based Reconstruction And Part Decomposition Of Man-Made 3d Geometry: Neural Implicit Representations And Scalable Supervision, Shen Fan

Dissertations

Digital three-dimensional (3D) models are central to engineering design, analysis, and manufacturing, but learning pipelines for man-made geometry often operate on sampled carriers that do not preserve all of the structure present in exact CAD representations. This dissertation studies learning-based reconstruction and part decomposition for structured man-made 3D geometry, from general object benchmarks to CAD-derived datasets, with a focus on neural implicit representations trained from signed-distance samples, point clouds, and tessellated meshes. The goal is to make these models more accurate, more part-aware, and more consistently supervised.

First, signed distance function (SDF) reconstruction with implicit neural representations is improved through …

Significant Crash Characteristics Associated With E-Scooter And E-Bike Crashes, Aimee Jefferson

Dissertations

Micromobility devices—namely e-scooters and e-bikes—have rapidly gained popularity in the United Sates, rising from 35 million annual shared rides in 2017 to over 133 million in 2023 (NACTO 2024). But also increasing is the number of injuries associated with these devices; however, most research emphasizes injury and demographic patterns rather than crash characteristics that would inform prevention strategies. Most existing crash research also relies on small sample sizes, lacks nuance distinguishing between involved parties (motorists, pedestrians, single device), and fails to distinguish between bicycle and micromobility crash patterns despite micromobility devices often being instructed to use conventional bicycle facilities. These …