Digital Commons Network^™

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 …

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 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 …

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 …

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 …

Leadership Without Assimilation: Reimagining Executive Leadership Development To Affirm Black Identity And Leadership Persistence, Nicole Monroe

Dissertations

Executive leadership development programs are often treated as race-neutral pathways to advancement, yet they frequently reflect dominant cultural norms that require leaders from marginalized communities to assimilate in order to succeed. This study examined the question: How can executive leadership development be restructured to affirm Black identity, cultural intelligence, and leadership persistence rather than require assimilation into exclusionary models? This study employs a convergent mixed-methods design, including interviews with 9 Black executive leaders and a document analysis of leadership development programs using the Assimilation Pressure Index. Findings reveal persistent assimilation pressures and identity negotiation within leadership development experiences, and document …

The Perception Of Students Toward Post-Pandemic Online Graduate Programs At A Historically Black College & University (Hbcu) In The South, April Ivery

Dissertations

This study examined the perceptions of online graduate students regarding the accessibility and usefulness of support services (Online Academic Advising, Online Technical Support, Online Counseling Services, Online Library Resources, and Online Career Services) at a Historically Black College and University (HBCU) in the southern United States. The study aimed to examine the attitudes of online students towards these support systems and to determine whether these attitudes played a role in their learning process. The primary research question was: What is the relationship between the accessibility of support systems and students' perceptions of those support systems in online graduate programs at …

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 …

Campus Community Vibes: How Queer Asian American Students Navigate Their Higher Education Experiences, Nathan Nguyễn

Dissertations

Misconceptions and stereotypes about Asian American college students include the belief that they are innately academically successful and that if Asian American students struggle, their challenges do not compare to their Black/African American, Hispanic/Latine, or Native American/Indigenous counterparts (Museus & Buenavista, 2016). Contemporaneous to this, lesbian, gay, bisexual, transgender, and queer (LGBTQ) college students experience interrogation, exploration, and various levels of support regarding their sexuality and/or gender identity. At this intersection, queer Asian American students must navigate campus settings that can enhance or diminish their agency for different facets of their identities (Crenshaw, 1991; Iftikar & Museus, 2018; Ray, 2019). …

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 …

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 …

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 …

Holding Space: How Caregivers Narrate Support, Stress, And School Partnership, Celia D. Davenport

Dissertations

This qualitative dissertation examined how caregivers of students with low-incidence disabilities experienced and interpreted school support within the context of daily family life. Grounded in the social model of disability, the study was designed to explore the nature of meaningful school-based support, the limitations caregivers encountered, and the ways school-family relationships shaped these experiences over time. The overarching research question asked how caregivers of students with low-incidence disabilities perceived the school’s role in supporting their families. A qualitative research design was selected to center caregiver voice and allow for in-depth exploration of lived experience. Data were collected through semi-structured interviews …

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 …

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 …

Walking The Path Of Conocimiento: Understanding And Navigating Workplace Conflict Through A Chicana Feminist Lens, Elisa A. Ortega-Schultz

Dissertations

The growing presence of Latinas in the U.S. workforce underscores the need for deeper understanding of their workplace experiences. Latinas represent one of the fastest growing segments of the labor force; however, research consistently shows that this growth is not matched by equitable access to leadership, compensation, or culturally responsive workplace environments. Latinas continue to experience persistent barriers related to pay inequity, career advancement, cultural belonging, and overall well-being.

Conflict frameworks that account for the unique experiences of Latinas are needed, as dominant approaches rooted in neutrality, procedural efficiency, and Western individualism often fail to account for the embodied, relational, …

Quantum And Conventional Informatics Studies Of Synthesis Energetics And Defect Formation In Nitride Crystal Epitaxy, Andrew Steven Messecar

Dissertations

Machine learning is a valuable approach for the processing and analysis of complex information. By estimating relationships from recorded data, machine learning methodologies can be effective strategies for pattern recognition, enabling investigations and technological applications based thereon. The potential for improved understanding of high-dimensional data has drawn interest towards machine learning from across the sciences, including the research and development of new and improved material systems. In the context of experimental materials research, much of the reported efforts to incorporate machine learning into conventional practice have been primarily focused on either the enhanced analysis of characterization experiment data or the …

Enhancing Postsecondary Outcomes For Students With Emotional And Behavioral Disorders: A Design-Based Mixed Methods Approach To Transition Planning, Kate M. Schrum

Dissertations

Students with emotional and behavioral disorders (EBD) experienced significantly lower postsecondary outcomes when compared to same-aged peers. These outcomes included lower graduation rates, higher unemployment rates, and difficulty establishing independent living arrangements (Wagner & Newman, 2015). Following a human-centered, design-based approach, the scholar-practitioner found a lack of consistent and meaningful transition support specifically designed for students with EBD. Working with a stakeholder team of educational professionals directly involved in supporting transition for students with EBD at an alternative special education program, the scholar-practitioner developed a "Transition Toolkit". The toolkit contained scaffolded grade-level checklists (for grades 6–12) with self-advocacy and goal-setting …

Effectiveness Of Monetary Policy Communication: Evidence From Textual Analysis Of Daily Newspaper Articles, Bisrat Abebe Woldesilassie

Dissertations

Monetary policy communication has become a crucial tool for central banks to shape market expectations and enhance transparency. The goal of this paper is to measure how effectively the Fed communicates monetary policy through FOMC minutes by analyzing the impact of the release of FOMC minutes on financial markets through textual sentiment analysis of daily newspaper articles. I measure the surprise in the daily news sentiment that is caused by FOMC minutes release. The surprise in the sentiment is calculated as the change in the news sentiment that is measured over three weeks prior to the release of the FOMC …

An Attachment Perspective For Help-Seeking Intentions Among Emerging Adult Women Child Sexual Abuse Survivors, Dominique Giroux

Dissertations

Child sexual abuse (CSA) is an adverse childhood experience and a global health issue. Approximately one in four girls encounter CSA per year. Research evidence suggests approximately 50% of CSA survivors encounter sexual revictimization during adulthood (Walker & Wamser-Nanney, 2023), but formal help and intervention can mitigate further psychosocial harm experienced by CSA survivors (Widom et al., 2008). Attachment theory has provided a theoretical framework for identifying individuals at risk for revictimization and help-seeking patterns, such that individuals who have insecure attachment styles report more revictimization frequency, but the literature is mixed about attachment styles and help-seeking (Brenner et al., …

Deployment-Aware Deep Learning For Computer Vision: Efficient Architectures From 3d Segmentation To Mixed Reality, Bahar Uddin Mahmud

Dissertations

Deep learning has become the dominant approach for solving vision-centric problems; however, its successful deployment in real-world applications remains limited by high computational cost, data dependency, and insufficient integration with practical and human-centered environments. While state-of-the art deep learning models often achieve impressive performance in controlled settings, they frequently fail to generalize or operate efficiently under deployment constraints such as limited resources, complex data modalities, and real-time interaction requirements. These limitations motivate the need for a deployment-oriented deep learning framework that balances accuracy, efficiency, and practical usability.

This dissertation investigates the design and deployment of efficient deep learning architectures for …

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 …