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Fsu Vip List 2025- Chancellor Medallion, Laura Mehaffey

Fayetteville State University- Speakers, Honorees, & Faculty Emeritus

This list catalogues recipients of the Chancellor's Medallion, the highest honor that the current Chancellor of Fayetteville State University can bestow. The list begins in 1983 and is usually awarded during Commencement Ceremonies for the University.

Fsu Vip List 2025- Faculty Emeritus, Laura Mehaffey

Fayetteville State University- Speakers, Honorees, & Faculty Emeritus

This list catalogues those faculty and administration members who were named as Faculty Emeritus for Fayetteville State University.

Independent- August 2025, Leslie Lozada

The Independent (1988-present)

No abstract provided.

Hiv-1 Tat Induces Transient Tlr4/6 Downregulation In Human Microglia Cells: Implications For Neuroinflammation​, Shrimayi Gillella, Olivia Antony, Biju Bhargavan, George C. Njoku, Narendran Annadurai, Georgette D. Kanmogne

Posters: 2025 Summer Undergraduate Research Program

Microglia, the resident immune cells of the central nervous system (CNS), plays a pivotal role in neuroinflammation associated with HIV infection. Toll-like receptors (TLRs) are critical innate immune sensors expressed in microglia, and their dysregulation is implicated in HIV-associated neurocognitive disorders (HAND). In this preliminary study, we examined the basal expression of TLRs and the impact of HIV-Tat on their expression using the human microglial HMC3 cell line.

First, the microglial identity of HMC3 cells was confirmed by the expression of Iba1, a microglia-specific marker. RT-PCR analysis revealed basal expression of TLR2, TLR4, andTLR6, with TLR4 showing the highest expression …

Borderplex Business Barometer, Volume 9, Number 8, Thomas M. Fullerton, Steven L. Fullerton

Border Region Modeling Project

No abstract provided.

Evaluating The Tvr-Set: Insights Into Self-Employment From Tribal Vocational Rehabilitation Counselors, Catherine Ipsen, Luke Santore

Employment

This report examines the impact of pilot training on the use of the Tribal Vocational Rehabilitation Self-Employment Toolkit (TVR-SET), developed to support American Indian Vocational Rehabilitation Services (AIVRS) programs. Of the 574 federally recognized Tribes in the U.S., 93 administer AIVRS programs aimed at improving employment outcomes for American Indians with disabilities. Self-employment is a vital pathway in reservation communities, promoting economic independence and cultural preservation. However, AIVRS programs face challenges in staff training and resources. The TVR-SET and its accompanying training address these gaps, enhancing counselors’ capacity to guide consumers in self-employment exploration and business development.

A Robust Multi-Dimensional N-Valued Refined Neutrosophic Logic Framework For Competitive Calculation In The Leisure Sports Industry, Ying Zheng, Lie Mo, Zhiwen Ye

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Epistemic Framework For Intangible Cultural Heritage Resources: Modeling Authenticity, Uncertainty, And Fragmentation In Tourism Development Potential Analysis, Chunxi Fan, Haihong Tan, Fangxin Xu

Neutrosophic Sets and Systems

No abstract provided.

A Hybrid Neutrosophic Statistical–Game Theoretic Framework For Modeling Green Policy Dynamics Of Coal Mining Enterprises Under Indeterminacy In Resource-Based Regions, Ruifen Zhao

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Cognitive Map-Based Modeling Framework For Analyzing The Indeterminate Impact Of Exercise On University Students’ Mental Health, Rui Wang

Neutrosophic Sets and Systems

No abstract provided.

Detection Of Activity Cliffs Produced By Anti-Cancer Drugs And An Algorithm For Reliable Predictions In Affected Areas, Sarah Josephine Aurit

Department of Statistics: Dissertations, Theses, and Student Research

An activity cliff (AC) occurs when drugs close in chemical space produce dissimilar biological results. We focus on developing an inferential procedure to detect the presence of ACs in a chemical landscape. If detected, we provide a distance-based procedure that can be used to identify regions of stability in the chemical landscape of interest and generate prediction with higher precision in those areas of stability. We conceptualize the chemical landscape as a spatial random field and use spatial models for prediction of efficacy for new drugs based on “distance” in chemical space. We argue that an AC manifests itself by …

Applications Of Preclinical Magnetic Resonance Imaging In The Treatment Of Traumatic Brain Injury And Understanding Carotid Artery Atherosclerosis, Evan Timothy Curtis

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

Advances in magnetic resonance imaging (MRI) provide the opportunity to investigate research questions that have been left unanswered. In the cases of traumatic brain injury (TBI) and carotid artery atherosclerosis, MRI is a resource for non-invasively viewing the phenomena taking place. Additionally, potential interventions and treatments can be observed without harm to the subject. This dissertation expands the understanding of two preclinical applications of MRI: traumatic brain injury and carotid artery atherosclerosis in mouse models.

TBI is a leading cause of death and disability for individuals between 15–45 years of age and effective pharmaceutical interventions for treating the secondary damage …

Thematic Analyses Of Session Data With Transgender And Gender Diverse Adults Obtained During A Clinical Trial, Brenna Rose Lash

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

Transgender and gender diverse (TGD) adults in the United States experience high rates of discrimination and marginalization, contributing to adverse mental health outcomes. While clinical guidelines for gender affirming care have been developed, these guidelines often lack empirical grounding or specific, actionable strategies for clinicians. Although theoretical models such as the marginalization stress model and the psychological mediation framework offer useful foundations for case conceptualization, they do not fully capture the lived experiences or the resilience mechanisms of TGD individuals in therapeutic contexts. This project aims to bridge the gap between research and clinical practice through thematic analysis of therapy …

Intergenerational Family Dynamics Among Caregivers And Children’S Social-Emotional Development In China, Weiman Xu

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

The early years of a child’s life are pivotal for social-emotional development. While extensive research has explored the role of family settings in fostering children's social-emotional development (Bornstein, 2005), the impact of grandparental involvement, particularly the caregiving dynamics between generations, remains less well understood. This study aims to fill this gap by examining two critical aspects of intergenerational dynamics among caregivers (i.e. parent-grandparent coparenting and parent-grandparent relationship quality) and their associations with children’s social-emotional development (i.e. social skills and problem behaviors). Two specific aims were delineated: 1) examine the unique contribution of parent-grandparent coparenting, especially the power and authority domain …

The Career Resilience Of Women Of Color Amidst Intersectional Racism-Sexism In The Us: A Consensual Qualitative Study, Hannah Ahmad Ridzuan

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

Women of color have historically and presently experienced both sexism and racism on interpersonal, institutional, and cultural levels (Sue et al., 2007). While discrimination based on racial-ethnic and gender identities has by far the most extensive literature base (Duffy et al., 2016), literature on the development of women of color career resilience is not as expansive. Informed by the Psychology of Working Theory (PWT) (Blustein, 2006; Duffy et al., 2016), the intersectionality framework (Crenshaw, 1989; Collins et al., 2021), and critical consciousness (Freire, 1971; Quiñones-Rosado, 2020), this consensual qualitative research (CQR; Hill, 2006) explored how women of color in the …

Flooding: Risk Assessment And Its Interaction With Population & Environmental Health, Shivendra Srivastava

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

Flood events have significant implications for both population and environmental health. This dissertation aims to explore flood risk and its interaction with humans and the environment. The key questions addressed in this dissertation include improving the existing flood risk framework to better assess population vulnerability and associated risk. Additionally, it explores how interactions among risk components vary across spatial scales and regions, and how these variations influence overall flood risk. The dissertation also investigates how to design a vulnerability component specific to flooding within flood risk estimation. Finally, it answers whether flood-specific vulnerability differs for a population compared to vulnerability …

The Tree That Would Not Fall: An Educator’S Autoethnographic Journey Of Healing Through Words, Raeanna Marie Carlson

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

To say the world has changed since the 2020 COVID-19 shut down is to minimize the micro and macro social changes that infiltrated the school system. In the wake of it all, we find a landscape marred by a both rising teacher attrition and struggling student motivation. This autoethnographic dissertation explores the deeply personal experience tethered to a deeply problematic system that contributes to not only teacher burnout but what I came to know as teacher demoralization. Personal traumas of teachers profoundly impact their experience in the classroom, and as I examined my own near departure from the classroom, I …

Between Two Worlds: A Case Study Of Third Culture Identity And Reentry For Unl International Students, John S. Tessalee

Department of Agricultural Leadership, Education, and Communication: Dissertations, Theses, and Student Research

Third Culture Kids (TCKs) and international students share many commonalities, such as their globalized nature, adaptability, and the adoption of cultural components from their host country versus their home country. However, they contain enough differences to be considered separate groups. Traditionally, people need to be immersed in a culture different from their parents’ culture between the ages of 0 and 18 to be considered a TCK, whereas international students are typically between 18 and 24 years old by the time they attend universities overseas. The cultural absorption of TCKs in their formative years is usually greater than that of international …

Artificial Intelligence On Campus: Revisiting Understanding As An Aim Of Higher Education, Jamie Herman, Henry Lara‐Steidel

Prindle Faculty and Staff Publications

AbstractThe launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara‐Steidel posit a way of addressing the concerns over ChatGPT and increasingly powerful generative AI tools in the classroom by first examining what exactly, if anything, widespread AI use undermines in education. That question, they argue, is logically prior to the question of what to do or how best to embrace …

A Multi-Modal Method For Synthetic Data Generation In Social Network Analysis, Hortencia Josefina Hernandez

Open Access Theses & Dissertations

Social network analysis (SNA) research is often rife with data collection pitfalls, frequently leading to incomplete and missing data. With the growing use of SNA-based research, researchers must address the challenge of missing data and synthetic data generation in these settings. Missing data occurs due to longitudinal non-response or lack of response to sensitive or difficult-to-answer questions. Synthetic data generation in SNA settings addresses the lack of representation that is often present in large-scale SNA studies. This dissertation investigates synthetic data generation methods to address these challenges and develops a novel algorithm that leverages information from multi-modal data, e.g., databases …

Perceptions Of Healthcare Students And Educators On Ai And Ar In Immersive Learning: A Phenomenological Study Of Empathy And Self-Efficacy Development In Palliative And End Of Life Care, Thomas Joseph Soto

Open Access Theses & Dissertations

As healthcare education evolves to address emotionally complex scenarios such as palliative and end-of-life care, there is an increasing need to integrate both technical and emotional competencies into training. This interpretive phenomenological study explored how artificial intelligence (AI) and augmented reality (AR)-enhanced immersive simulations shape healthcare students' empathy and self-efficacy. Grounded in Rogers' Client-Centered Theory and Bandura's Social Cognitive Theory, the research investigated the lived experiences of healthcare students and educators who participated in emotionally realistic simulations using AI-driven manikins and auditory AR features. Data were collected through semi-structured interviews and analyzed using a hybrid inductive-deductive coding framework, incorporating in-vivo …

Complex Factors Impacting Smoking Behavior In Cancer Survivors With Food Insecurity, Madeline C. Castele, Kareena Shah, Avianna Thompson, Jin E. Kim-Mozeleski

Faculty Scholarship

Objectives: Tobacco use remains prevalent among people with social needs, such as food insecurity. In this study, we aimed to understand the complex experiences of low-income cancer survivors with food insecurity who smoke tobacco, to identify the unique smoking cessation needs for this group. Methods: We conducted in-depth, semi-structured qualitative interviews with 40 adults experiencing food insecurity who continued smoking after a cancer diagnosis. Interviews focused on smoking behaviors, cessation interest, cancer experiences, and financial circumstances. We analyzed the data using reflexive thematic analysis. Results: In this sample of cancer survivors (50% female, mean age 42 years, 60% black/African American, …

Effects Of Training With Different Set-Repetition Configurations On High-Intensity Exercise Endurance And Acute Recoverability, Wesley Gawel

Electronic Theses and Dissertations

This study aimed to evaluate how high- (3x10) versus low-repetition (3x2) resistance training affects (1) muscular strength-endurance and (2) immediate recovery after a high-intensity exercise effort (HIEE). Fourteen college-aged participants (10 males: 24.5 ± 4.9 yrs, 1.76 ± 0.05 m, 86.56 ± 6.90 kg; 4 females: 23.0 ± 2.8 yrs, 1.58 ± 0.09 m, 62.19 ± 5.96 kg) completed a 4-week training program and were divided into two groups: G2 (3x2; 5 males, 2 females) and G10 (3x10; 5 males, 2 females). All subjects performed back squats to failure at 67.5% of baseline 1RM. Repetitions (REPS) and volume load with …

An Exploration Of Factors Influencing Sophomore-Year Persistence At A Regional Institution In Southern Appalachia, Jonathan W. Mitchell

Electronic Theses and Dissertations

The purpose of this qualitative and interpretative phenomenological study was to explore factors that participants identified as playing roles in their persistence through their sophomore years at a regional university located within Southern Appalachia. Research on second-year retention efforts is far lacking compared to first-year retention efforts. Reflecting the heavy emphasis placed on the first year, there is also more research on first-year retention. However, students can feel a sharp decline in support entering sophomore year, making that just as critical of a transition. Student retention has been emphasized in higher education since its inception, as an institution’s goal in …

Recommended For You Streaming Platform Recommendation Algorithms And Consumer Rights, Margaret Wilson

Canadian Journal of Law and Technology

Streaming platforms are becoming increasingly popular with consumers. In Canada, recent studies have suggested that 55% of Canadians use video streaming services, like Netflix, on a daily basis. Similarly, up to 30% stream audio content daily on platforms like Spotify.6 The federal government has recognized that the broadening use of these technologies creates new challenges for consumer privacy and has proposed updates to consumer privacy laws in Bill C-27. With the dissolution of the 44th Parliament on March 23, 2025, Bill C-27 died on the roll and will not be adopted. As proposed legislation, Bill C-27 signalled the direction of …

Navigating The Shadows: Evaluating Privacy Protections Against Dark Patterns, Matt Gaulton, Dominique Kelly, Dr. Jacquelyn Burkell

Canadian Journal of Law and Technology

Privacy dark patterns are user interface design strategies that manipulate individuals into disclosing personal information or consenting to data practices they may not fully understand or intend. This paper critically evaluates the effectiveness of Canadian, American, and European privacy frameworks — specifically, the Personal Information Protection and Electronic Documents Act (PIPEDA), the California Consumer Privacy Act (CCPA), and the European Union’s General Data Protection Regulation (GDPR) — in addressing the regulatory challenges posed by privacy dark patterns. We argue that PIPEDA is significantly less equipped to counteract such manipulative practices, particularly in comparison to the GDPR and CCPA, due to …

Making Sense Of Myc In Skeletal Muscle, Ronald G. Jones, Sebastian Edman, Nathan Serrano, Yuan Wen, John J. Mccarthy, Christopher S. Fry, Ferdinand Von Walden, Kevin A. Murach

Physiology Faculty Publications

No abstract provided.

Building A Sustainable Home On The Central Coast: An Owner’S Perspective, Austin Chase Anderson

Construction Management

As awareness and technology increase, sustainability as a focus in home construction is also increasing. This case study based research project seeks to understand the process of building a home on California’s Central Coast with sustainability in mind. An interview was conducted with an owner who built their home in Templeton in 2019. The interview was in a semi-structured format which included specific qualitative questions but mostly focused on an open-ended discussion which allowed the owner to share their own experience. The key challenges learned from this interview were that the owner believed price to be the main factor that …

Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell

Theses

Consumer electronic products (CEP) manufacturing and retail contribute markedly to global industrial activity; worldwide estimates suggest revenue growth from $1 trillion in 2020 to $1.5 trillion by 2026. Consequently, the production, distribution, use, and end-of-life (EOL) disposition of these products are responsible for considerable social and environmental impacts, including 35 million metric tonnes of waste to landfill per year, 793 million metric tonnes (MMT)—and growing—of carbon dioxide-equivalent (CO2e) greenhouse gas (GHG) emissions per year, and innumerable adverse effects on human health and development. Driving these impacts are the inherent characteristics of CEPs themselves, which increasingly require critical materials in design, …

Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif

Theses

Efficient and sustainable food production and management are growing concerns in the context of an ever-increasing global population. It is in this context that the integration of remote sensing with advanced imaging technologies presents transformative opportunities for data-driven decision-making in agriculture. This study therefore explores the use of unmanned aerial systems (UAS) equipped with multispectral, hyperspectral, and LiDAR sensors for the non-destructive monitoring of table beet (Beta vulgaris) crop traits, with a specific focus on root yield estimation and foliar disease assessment. Table beet, a subterranean crop of increasing commercial and nutritional importance, poses unique challenges for above-canopy sensing due …