Digital Commons Network^™

“Courtesy, Respect, And Follow Through”: A Mixed Methods Evaluation Of Faculty Members’ Experiences, Needs, And Approaches To Research Collaborations, Daniela B. Friedman Ph.D., Christina Ek, Jean Neils-Strunjas Ph.D, Ccc-Slp, Andrea Tanner Ph.D., James R. Hébert Scd, Lorie Donelle, Sue E. Levkoff, Freda Allyson Hucek, Brooks Yelton Ma, Lmsw, Dwayne E. Porter

Faculty Publications

Introduction: Guided by a communications-focused framework developed by an interdisciplinary team of authors, this paper presents data from a survey of health science faculty members to better understand how research collaborations are established and maintained. Methods: An electronic survey was distributed to faculty in six colleges at a Research 1 institution. Quantitative data were downloaded into Excel and then RStudio for descriptive analysis. Open-ended, qualitative responses were coded and analyzed for themes. Results: Most respondents were in public health (44.0%) or medicine (25.3%); 40.0% were tenured. A grant deadline was the main impetus reported for initiating research collaborations (86.1%). Most …

Reflecting On Partnerships Established And Sustained Over Four Cycles Of A Federally Funded Cancer Prevention And Control Research Program: Lessons Learned For Community-Academic Networks, Swann Arp Adams, Lauren Workman Ph.D., Mayank Sakhuja, Brooks Yelton Ma, Lmsw, Karen E. Wickersham Phd, Rn, Ciaran Fairman, Jan Eberth Ph.D., Sue Heiney Scd, James Hébert Scd, Freda Allyson Hucek, Lauren Schaurer, Daniela B. Friedman Ph.D.

Faculty Publications

Introduction: The Centers for Disease Control and Prevention (CDC) funded Cancer Prevention and Control Research Network (CPCRN) is a national network which aims to accelerate the adoption and implementation of evidence-based cancer prevention and control strategies and interventions in communities, enhance large-scale efforts to reach underserved populations and reduce their cancer-related health disparities, and develop the capacity of the dissemination and implementation work force specifically in cancer prevention and control. Methods: Our site has been a part of the CPCRN since its inception in 2002 with the exception of the 2004–2009 funding cycle. As community-based participatory research is a core …

Britney Spears And Systemic Reform: Embracing Vulnerability In Conservatorship Laws, Helena Moradi, Bojan Perovic

South Carolina Law Review

No abstract provided.

Tutorial: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

More Alike Than Not: The Open Access Preferences Of Humanities Scholars, Rachel Scott, Ana Dubnjakovic

Faculty and Staff Publications

Several studies have noted that humanists have not been as quick or enthusiastic in their adoption of Open Access (OA) as their colleagues in other disciplines. This article leverages the Ithaka S+R US 2021 Faculty Survey to provide contextualized analysis of the OA and Open Education Resources (OER) preferences of humanities scholars, as well as some practices related to OA and OER, relative to their colleagues in other disciplines. Findings suggest that although humanists do stand apart in many OA preferences, the small effect sizes render these differences less important than previously suspected. The implications of these findings are considered …

Disney Was Truly “Almost There”: The Controversy Of Racial Representation In The Princess And The Frog, Anna Kate Dyson

University Libraries Award for Undergraduate Research

No abstract provided.

Athletic Trainers’ Familiarity With Potential Concussion Biomarkers: A Descriptive Study, T R. Campbell, B J. Davis, J C. Martinez, J M. Cavallario

Clinical Practice in Athletic Training

Introduction: An estimated 3.8 million individuals sustain a concussion annually in the United States. Despite the high number of cases, this number may not accurately depict the true incidence rate due to underreporting of symptoms by patients. With current concussion tools relying heavily on subjective input from patients, it is imperative that a valid and reliable objective tool, such as a clinical biomarker, is identified to improve concussion diagnosis and management. If such a biomarker is identified, it will be essential that athletic trainers (ATs) be familiar with how biomarkers could be used. The purpose of this study was to …

Using Data In The Classroom To Drive Instructional Design And Delivery, L E. Eberman, J P. Young

Clinical Practice in Athletic Training

Introduction: Roughly half of ATP program directors include education on transgender health care in their programs, and even fewer report having the competence to do so. However, professional-level accreditation standards (56, 57, and DEI 2) require that programs have faculty with contemporary expertise to educate students on these outcomes. Current research suggests a comprehensive transgender and sexual health curriculum, including safe-zone training, traditional lecture, lab, and project-based instruction, was partially effective at changing students’ attitudes toward transgender patients but did not improve sexual health care delivery during a standardized patient encounter. The purpose of this project was to evaluate the …

Robot Inventors, Robot Patents, Robot Examiners, And Robot Patent Prosecutors, Henry H. Perrit Jr.

South Carolina Law Review

No abstract provided.

What Does It Mean To Create Art? Intellectual Property Rights For Artificial Intelligence Generated Artworks, Zachary Bozard

South Carolina Journal of International Law and Business

No abstract provided.

[Ordered] Liberty And Justice For All? The Elusive "Right To Privacy" And A Comparison Of American And Canadian Women's Rights Schemes, Caroline Wakefield

South Carolina Journal of International Law and Business

No abstract provided.

A Diminished First Amendment In Cyberspace: The Brussels Effect On Freedom Of Expression, Kurt A. Webber

South Carolina Journal of International Law and Business

This article introduces the reader to the European Union's attempts at moderating the internet through its Digital Security Act (DSA) and the primary voices heard in that effort, including the trusted flaggers, the member states' digital services coordinator, and the platforms themselves.

The article explores the EU's high hopes for the DSA to eliminate harmful and illegal content and ensure transparency through its collective database of moderation actions.

The article describes the transparency database and details its principal inadequacies.

Finally, the article highlights the conflict between the U.S. and EU's views on moderation.

Have You Been To Orlando?: In Relation To The Regulation Of Self-Preferencing In Antitrust Law, Eunkwang Ha

South Carolina Journal of International Law and Business

As a mother of two and a South Korean professional studying abroad in the United States, one of my top priorities for our family's time here was to visit Orlando. My children had endured quite a bit of disruption as I pursued my professional goals, and I felt visiting Disney World and Universal Studios would be a bit of recompense. Although I wanted to use a package deal from a Korean travel agency, it was not a good choice because I needed to stay at hotels connected to Disney World and Universal Studios.

Due to the self-preferencing of Disney World …

Digital Health Literacy, Vaccine Information Sources, And Vaccine Acceptance Among Parents In Ontario: Quantitative Findings From A Mixed Methods Study, Sarah Ashfield, Lorie Donelle Phd, Rn, Fcan, Panagiota Tryphonopoulos, Ève Dubé, Maxwell Smith

Publications

Parents make important vaccination decisions for their children and many variables affect parents' decisions to accept or decline vaccines. Parents are tasked with locating, understanding, and applying information to inform health decisions often using online resources; however, the digital health literacy levels of parents are unknown. The purpose of this study was to investigate parents' digital health literacy levels, their sources for vaccine information, and analyze how demographics, digital health literacy, health literacy, parental attitudes and vaccine beliefs, trust, and vaccine information sources predict vaccine acceptance. Quantitative findings of a mixed methods study that examined parental vaccine decision making across …

Exploring The Experiential Journey Of Women With Pcos Across The Lifespan: A Qualitative Inquiry, Pamela J. Wright Phd, Ms, Med, Rn, Cen, Robin Dawson Phd, Rn, Cpnp-Pc, Cynthia F. Corbett Phd, Rn, Faan

Publications

Introduction: Peri-postmenopausal women with the chronic condition polycystic ovary syndrome (PCOS) remain at cardiometabolic risk and/or subsist with established comorbidity while continuing to manage persistent PCOS signs and symptoms, such as hirsutism. Thus, PCOS transcends the reproductive years, yet there is sparse scientific literature on the peri-postmenopausal years of women with PCOS.

Purpose: To explore how peri-postmenopausal women's perceptions about PCOS have changed over the lifespan since their PCOS diagnosis.

Methods: A cross-sectional survey with one qualitative question was conducted via Research Electronic Data Capture (REDCap) among women with PCOS aged ≥43 years, who were all recruited …

Systems Check: A Qualitative Case Study Of Educators And Parent-Educators Supporting Adolescent Readers From An Ecological Systems Perspective, Kristi Nicole Grooms

Theses and Dissertations

In spite of decades of research and an abundance of well-intentioned intervention efforts, supporting adolescent readers, particularly at the middle level, remains a significant area of concern for educators in the United States. The struggles are present for educators working to help underperforming readers reach grade-level and keep advanced readers motivated and engaged. At home, parents and guardians experience similar challenges. Data on adolescent comprehension performance continues to be frustrating in terms of producing consistent positive results. This qualitative action research study investigated the ongoing challenge of supporting adolescent readers, specifically within the context of 7th grade, through a systems …

Human Mobility And The Infectious Disease Transmission: A Systematic Review, M. Naser Lessani, Zhenlong Li, Fengrui Jing, Shan Qiao Ph.D., Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Recent decades have witnessed several infectious disease outbreaks, including the coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies around the globe. At the same time, the twenty-first century has experienced an unprecedented era of technological development and demographic changes: exploding population growth, increased airline flights, and increased rural-to-urban migration, with an estimated 281 million international migrants worldwide in 2020, despite COVID-19 movement restrictions. In this review, we synthesized 195 research articles that examined the association between human movement and infectious disease outbreaks to understand the extent to which human mobility has increased the risk of infectious disease outbreaks. …

Personalized Bayesian Inference For Explainable Healthcare Management And Intervention, Utkarshani Jaimini, Krishnaprasad Thirunaravan, Maninder Kalra, Robin Dawson, Amit Sheth

Publications

Chronic healthcare conditions such as Asthma re- quires constant monitoring and managing of symptoms and their triggers for better quality of life. Each asthma patient reacts very differently to potential triggers. Hence, there is a need to develop a explainable personalized framework for each patient to capture susceptibility to asthma triggers. We developed a personalized knowledge-based probabilistic model to predict asthma exacerbation for different environmental factors utilizing patient generated health data from pediatric asthma patients. Further, the personalized model provides a metric, called Health Coefficient, to quantify the health of a patient for varying environmental factors. We demonstrate the predictive …

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance In The Age Of Large Language Models, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Allen, Amit P. Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) primarily offer counseling and suggestive care but do not assist with patient diagnosis due to their lack of training in safety-constrained and specialized clinical process knowledge, referred to as ProKnow. In this work, we define ProKnow as an ordered set of information aligned with evidence-based guidelines or categories of conceptual understanding used by domain experts. We also introduce a new dataset of diagnostic conversations guided by safety constraints and Pro- Know, known as ProKnow-data. We develop a method for natural language question generation (NLG) designed to interactively gather diagnostic information from patients, termed ProKnow-algo. …

A Comprehensive Survey On Rare Event Prediction, Chathurangi Shyalika Jayakody Kankanamalage, Ruwan Wickramarachchi, Amit Sheth

Publications

Rare event prediction involves identifying and forecasting events with a low probability using machine learning (ML) and data analysis. Due to the imbalanced data distributions, where the frequency of common events vastly outweighs that of rare events, it requires using specialized methods within each step of the ML pipeline, i.e., from data processing to algorithms to evaluation protocols. Predicting the occurrences of rare events is important for real-world applications, such as Industry 4.0, and is an active research area in statistics and ML. This paper comprehensively reviews the current approaches for rare event prediction along four dimensions: rare event data, …

Terror And Time: Analyzing Homegrown Terrorism In The United States, Kyser Daniels-Baessler

Theses and Dissertations

The events of September 11th, 2001, prompted a global reckoning with the threat of international terrorism, leading to intensified awareness and policy responses worldwide. However, amidst this heightened global focus, the United States has faced a concerning rise in politically motivated violence on its soil. Against this backdrop, this thesis delves into the phenomenon of homegrown terrorism within the United States from 2000 to 2020. By employing advanced geospatial techniques, this study seeks to pinpoint areas nationwide with elevated rates of homegrown terrorist incidents. Moreover, it endeavors to uncover potential temporal correlations between these acts of violence and significant events, …

Digital Usage Of Indian Teleworkers In Home Settings: A Digital Inclusion Framework, Anindita Paul, Borchuluun Yadamsuren, Kim M. Thompson

Faculty Publications

This research focuses on ICT adoption and digital use by teleworkers operating from their homes during the pandemic in India. A two-phase mixed-method approach is used: Phase 1 involved in-depth interviews with three individuals during the pandemic, findings from which were used along with the Factors Affecting Digital Inclusion (FDI) model (Thompson & Paul, 2020) to develop the survey instrument for Phase 2. This survey was distributed to professionals via listservs, and the FDI model was subsequently utilized to analyze the survey responses. The study’s findings highlighted multiple factors related to digital inclusion among teleworkers that could impact work productivity. …

Engaging With Culturally Relevant Curriculum Development Practice In First-Year Writing Courses Through A Community Of Practice, Mitchell Dallas Herring

Theses and Dissertations

This qualitative action research study provides a case study of a community of practice (CoP) comprised of six faculty who teach first-year writing at Southern Technical College (pseudonym) as they engaged with culturally relevant teaching to review their curriculum development practices. The guiding question of this study was: How does engagement with culturally relevant pedagogy within a community of practice impact faculty who teach first-year writing's curriculum development practice, especially given their perceptions of students' needs and literacies? The study used a case study research design to document the faculty's experiences discussing and reflecting on their practice and perceptions of …

Diversity Across Disciplines: Student Response To Dei Content In College Curricula, Angela Pettitt

Theses and Dissertations

Discussion and inclusion of diversity-related topics in higher education are often confined to specific courses designated as fulfilling a university-mandated diversity requirement such as courses in women's studies, Black history or literature, Eastern religions, among others. Mainstream general education courses in disciplines such as psychology, chemistry, or communications typically do not address diversity, equity, and inclusion (DEI) topics as part of the curriculum, even if individual textbooks, courses, or faculty work to improve such courses' pluralism. However, as the U.S. population becomes both more diverse and segregated, and as DEI initiatives come under fire from state legislators, students receive conflicting …

Neurosymbolic Value-Inspired Ai (Why, What, And How), Amit Sheth, Kaushik Roy

Publications

The rapid progression of Artificial Intelligence (AI) systems, facilitated by the advent of Large Language Models (LLMs), has resulted in their widespread application to provide human assistance across diverse industries. This trend has sparked significant discourse centered around the ever-increasing need for LLM-based AI systems to function among humans as part of human society, sharing human values, especially as these systems are deployed in high-stakes settings (e.g., healthcare, autonomous driving, etc.). Towards this end, neurosymbolic AI systems are attractive due to their potential to enable easy-tounderstand and interpretable interfaces for facilitating valuebased decision-making, by leveraging explicit representations of shared values. …

Causal Neuro-Symbolic Ai: A Synergy Between Causality And Neuro-Symbolic Methods, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

Causal Neuro-Symbolic AI combines the benefits of causality with Neuro-Symbolic Artificial Intelligence (NeSyAI). More specifically, it (1) enriches NeSyAI systems with explicit representations of causality, (2) integrates causal knowledge with domain knowledge, and (3) enables the use of NeSyAI techniques for causal AI tasks. The explicit causal representation yields insights that predictive models may fail to analyze from observational data. It can also assist people in decision-making scenarios where discerning the cause of an outcome is necessary to choose among various interventions.

Ontolog Summit 2024 Talk Report: Healthcare Assistance Challenges-Driven Neurosymbolic Ai, Kaushik Roy

Publications

Although Artificial Intelligence technology has proven effective in providing healthcare assistance by analyzing health data, it still falls short in supporting decision-making. This deficiency largely stems from the predominance of opaque neural networks, particularly in mental health care AI applications, which raise concerns about their unpredictable and unverifiable nature. This skepticism hinders the transition from information support to decision support. This presentation will explore neurosymbolic approaches that combine neural networks with symbolic control and verification mechanisms. These approaches aim to unlock AI’s full potential by enhancing information analysis and decision-making support for healthcare assistance1.

"What Is A Wave But 1000 Drops Working Together?": The Role Of Public Libraries In Addressing Lgbtqia+ Health Information Disparities, Vanessa Lynn Kitzie, A. Nick Vera, Valerie Lookingbill, Travis L. Wagner

Faculty Publications

Purpose. This paper presents results from a participatory action research study with 46 LGBTQIA+ community leaders and 60 library workers who participated in four community forums at public libraries across the US. The forums identified barriers to LGBTQIA+ communities addressing their health questions and concerns and explored strategies for public libraries to tackle them.

Design/methodology/approach. Forums followed the World Café format to facilitate collaborative knowledge development and promote participant-led change. Data sources included collaborative notes taken by participants and observational researcher notes. Data analysis consisted of emic/etic qualitative coding.

Findings. Results revealed that barriers experienced by LGBTQIA+ communities are structurally …

Maximizing Organizational Effectiveness: Ncaa Division Iii Administrator Core Values And Departmental Culturization, Coyte G. Cooper, Erianne A. Weight

Journal of Issues in Intercollegiate Athletics

The purpose of this study was to explore Division III athletic administrator perceptions of organizational values through a lens of core value culturalization literature. Survey methodology was utilized to garner responses from 192 Division III head athletic directors [n = 75] and lower level (senior, associate, or assistant) athletic directors [n = 117]. Cumulative administrator emphasis on the “student-athlete experience” and “academic excellence” as top priorities demonstrates support that the mission of these Division III departments is to provide student-athletes with a high quality educational experience both in the classroom and in athletic competition (NCAA Division III, 2011). Analysis of …

Examining The Effects Of Relationship Quality And Calculative Commitment On Sport Consumer Behaviors For Intercollegiate Athletics, Ryan T. Wang, Cony M. Ho, James J. Zhang

Journal of Issues in Intercollegiate Athletics

The purpose of this study was to examine the effects of relationship quality and calculative commitment on sport consumers’ game attendance, donation intentions, and customer referral in the context of intercollegiate athletics. Relationship quality was operationalized as a higher-order construct containing trust, satisfaction, and affective commitment (De Wulf, Odekerken-Schröder, & Iacobucci, 2001). Calculative commitment, on the other hand, was conceptualized as a cost-induced commitment between relationship partners (Geyskens, Steenkamp, Scheer, & Kumar, 1996). Based on previous studies, a 29-item instrument was developed, and modifications were made to adapt it to intercollegiate athletics. Research participants (N = 350) were consumers of …