Digital Commons Network^™

Bibliography, Print Culture, And What To Do With Comics In A Rare Books Library, Michael C. Weisenburg

Faculty and Staff Publications

Comic books are among the rare books of the future. In fact, some comic books are scarcer and more valuable than many of the “old books” that fill special collections stacks. This essay proposes to answer the questions of “What do we do with comics in an academic library?” by analyzing comics as a popular phenomenon that is deeply rooted in book history and the developing print culture of the past 100 years. Using the traditional methods of bibliographic analysis, we might better situate comics within the mission of academic libraries as we work to foster learning, discovery, and inclusivity …

The Two Title Ixs, Emily Suski

Faculty Publications

No abstract provided.

Future Serial Killers And Adolescent Maltreated Males Identified Using The Ace-Q, Michelle Sutherland, Reid Toth

University of South Carolina Upstate Student Research Journal

Abstract

Maltreated adults were surveyed over a period of years to help researchers understand the role that childhood maltreatment plays in negative short- and long-term physical, emotional, financial, psychological, and social effects, as well as in adult-onset criminal behaviors and activities. Through multiple research studies conducted over years by the CDC-Keiser Permanente Group using the ACE-Q Survey, along with other independent researchers such as Dr. Morono and his research team that used the Behavior Sequence Analysis Method, a link was discovered between childhood maltreatment and negative and/or criminal behaviors and events that impacted every area of the victim’s life and …

Lidar-Change-Based Mapping Of Sediment Movement From An Extreme Rainfall Event, Silvia E. Piovan, Michael E. Hodgson, Paolo Mozzi, Dwayne E. Porter, Bryan Hall

Faculty Publications

Mapping landscape change at fine scales (e.g. < 1.0 m resolution) using airborne LiDAR data from manned aircraft is a significant challenge. This challenge is magnified in disaster response contexts. A combination of collection and processing factors contributes to horizontal and vertical errors (and resulting uncertainty) in each pre- and post-LiDAR derived digital elevation model (DEM). Subsequently, the errors in the change surface from the two (or more) DEMs are an accumulation of the errors in the individual DEMs. Thus, reliable mapping erosion/deposition changes at sub-meter precision in change detection studies using LiDAR data is largely the domain of terrestrial LiDAR or sUAS with LiDAR scanners rather than manned aircraft. Unfortunately, terrestrial and sUAS LiDAR scanners are not well suited for mapping large areas and sUAS collections are subject to additional airspace constraints compared to manned aircraft. In this study, we probed one of the significant issues in airborne LiDAR change projects–vertical height errors from sequential flight lines. A simplified solution for determining flight line vertical biases in areas of low topographic relief with natural cover types was developed and tested for normalizing point clouds. The approach was tested in a fine-scale erosion/deposition study from an extreme rainfall event that eroded and deposited sand at depths of about 1.0 m. Airborne LiDAR had been collected prior to the rainfall event, and another airborne LiDAR collection was made 1 month after the event. Eleven field campaigns to collect reference data and visit anomalies in the change surface were conducted in a 15-month period after the event, beginning 25 February 2016 and ending 8 May 2017. The validation results indicate accuracies for the pre-event and post-event LiDAR derived DEMs were 7.8 cm and 13.0 cm RMSE, respectively. After modeling vertical errors and corrections applied to the post-event point clouds, the RMSE for the post-event DEM was 8.3 cm. In the depositional use case, 27 locations were sampled with auger boreholes/sand pits and compared with LiDAR-based change. The LiDAR-based change detection analysis resulted in predicted sand depth accuracies of 94% with a mean error of 4.7 cm.

International Society Of Sports Nutrition Position Stand: Ketogenic Diets, Arny A. Ferrando, Robert R. Wolfe, Katie R. Hirsch Phd,Ep-C, Cissn, David D. Church, Shiloah A. Kviatkovsky, Michael D. Roberts, Jeffrey R. Stout, Drew E. Gonzalez, Ryan J. Sowinski, Richard B. Kreider, Chad M. Kerksick, Nicholas A. Burd, Stefan M. Pasiakos, Michael J. Ormsbee, Shawn M. Arent Ph.D., Cscs*D, Fissn, Facsm, Fnak, Paul J. Arciero, Bill I. Campbell, Trisha A. Vandusseldorp, Ralf Jager, Darryn S. Willoughby, Douglas S. Kalman, Jose Antonio

Faculty Publications

Position Statement: The International Society of Sports Nutrition (ISSN) presents this position based on a critical examination of literature surrounding the effects of essential amino acid (EAA) supplementation on skeletal muscle maintenance and performance. This position stand is intended to provide a scientific foundation to athletes, dietitians, trainers, and other practitioners as to the benefits of supplemental EAA in both healthy and resistant (aging/clinical) populations. EAAs are crucial components of protein intake in humans, as the body cannot synthesize them. The daily recommended intake (DRI) for protein was established to prevent deficiencies due to inadequate EAA consumption. The following conclusions …

International Society Of Sports Nutrition Position Stand: Energy Drinks And Energy Shots, Andrew R. Jagim, Patrick S. Harty, Grant M. Tinsley, Chad M. Kerksick, Adam M. Gonzalez, Richard B. Kreider, Shawn M. Arent Ph.D., Cscs*D, Fissn, Facsm, Fnak, Ralf Jager, Abbie E. Smith-Ryan, Jeffrey R. Stout, Bill I. Campbell, Trisha Vandusseldorp, Jose Antonio

Faculty Publications

Position Statement: The International Society of Sports Nutrition (ISSN) bases the following position stand on a critical analysis of the literature regarding the effects of energy drink (ED) or energy shot (ES) consumption on acute exercise performance, metabolism, and cognition, along with synergistic exercise-related performance outcomes and training adaptations. The following 13 points constitute the consensus of the Society and have been approved by the Research Committee of the Society: Energy drinks (ED) commonly contain caffeine, taurine, ginseng, guarana, carnitine, choline, B vitamins (vitamins B1, B2, B3, B5, B6, B9, and B12), vitamin C, vitamin A (beta carotene), vitamin D, …

Issues Concerning Section 2056(D) Of The Tax Code, M. Chalmers Middleton

South Carolina Law Review

No abstract provided.

The Single Religion Clause: Non-Established, Free, And Independent Exercise, Gregory Velloze

South Carolina Law Review

No abstract provided.

I Wish My Teacher Knew: Trauma, Stress, Loss, And Learning In Today’S Classrooms, Janie R. Goodman, Victoria A. Oglan

South Carolina Association for Middle Level Education Journal

As teachers and students continue to navigate the new normal of in-class, remote, and hybrid learning environments, three ongoing themes of trauma, stress, and loss have become pervasive. This collection of resources can give all educators a broader understanding of stress, trauma, loss, and learning as well as provide information that can be applied directly into work with students in the classroom and the community.

Connectedness In The Classroom: Classroom Management In The Middle School, Patricia S. Fears

South Carolina Association for Middle Level Education Journal

As documented by research and assertions from middle school instructors, teaching adolescent students can be a challenging experience for many. Specific challenges include mediocre student engagement, lack of motivation, substandard academic performance, and disengaged teacher- pupil relationships. This article addresses these challenges by offering research-based options for teachers to consider when designing a classroom management system that will improve the aforementioned challenges. The techniques and strategies presented focus on developing relationships and building upon them to make teaching and learning experiences positive, engaging, relevant, and impactful.

Kindling A Desire To Read: A Review Of Three Young Adult Novels, Michelle Rasheed

South Carolina Association for Middle Level Education Journal

Drawing on experiences as an English teacher and as a teacher educator, this article offers a review of Nothing Burns as Bright as You by Ashley Woodfolk (2021), Paradise on Fire by Jewell Parker Rhodes (2022), and Year on Fire by Julie Buxbaum (2022). The review offers suggestions to promote adolescent reading. Authentic characterizations, realistic dialogue, credible events, and elements of suspense draw readers in and keep them reading. Recommended as viable works to spark students’ interest in reading, Nothing Burns as Bright as You, Paradise on Fire, and Year on Fire are contemporary young adult novels to …

Supporting Lesbian, Gay, Bisexual, Transgendered And Queer (Lgbtq) Youth In Southern Middle Schools, Xiomarra A. Beverly

South Carolina Association for Middle Level Education Journal

During my experience teaching in a conservative, southern middle school, I have found that gay, lesbian, bisexual, transgendered and queer (LGBTQ) youth are not afforded the same support systems as other minority groups within the classroom. I have noticed that students who self- identified as a member of the LGBTQ community were less engaged, had lower overall grades, and were frequently victimized by both students and faculty at times. I believed that I could increase the overall mental and physical health in the classroom by instilling supportive means that would translate inside and outside of the classroom. From both personal …

Unhealthy Masculinity: Racism And Black Men’S Medical Distrust, Timothy Simmons

Athena: Undergraduate Research and Literary Journal

No abstract provided.

Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance For Telehealth: The Mental Health Case, Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit Sheth

Publications

After the pandemic, artificial intelligence (AI) powered support for mental health care has become increasingly important. The breadth and complexity of significant challenges required to provide adequate care involve: (a) Personalized patient understanding, (b) Safety-constrained and medically validated chatbot patient interactions, and (c) Support for continued feedback-based refinements in design using chatbot-patient interactions. We propose Alleviate, a chatbot designed to assist patients suffering from mental health challenges with personalized care and assist clinicians with understanding their patients better. Alleviate draws from an array of publicly available clinically valid mental-health texts and databases, allowing Alleviate to make medically sound and informed …

Submission Information

South Carolina Journal of International Law and Business

No abstract provided.

Association Of Hospital Incentive Care Management Partnerships For Uninsured Patients With Emergency Department Utilization, Sarah Gareau, Ana Lopez-De Fede, Zhimin Chen, Nathaniel Bell

Publications

IMPORTANCE The South Carolina (SC) Healthy Outcomes Plan (HOP) program aimed to expand access to health care to individuals without insurance; it remains unknown whether there is an association between the SC HOP program and emergency department (ED) use among patients with high health care costs and needs. OBJECTIVES To determine whether participation in the SC HOP was associated with reduced ED utilization among uninsured participants. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study included 11 684 HOP participants (ages 18-64 years) with at least 18 months of continuous enrollment. Generalized estimating equations and segmented regression of interrupted time-series analyses …

Qualitative Analysis Of Anti-Abortion Discourse Used In Arguments For A 6-Week Abortion Ban In South Carolina, Victoria C. Lambert, Emily E. Hackworth, Deborah Lynn Billings Phd

Publications

Background: On June 24, 2022, The U.S. Supreme Court overturned Roe v. Wade, leaving abortion legislation entirely up to states. However, anti-abortion activists and legislators have organized for decades to prevent abortion access through restrictive state-level legislation. In 2019, South Carolina legislators proposed a bill criminalizing abortion after 6 weeks gestation, before most people know they are pregnant. The current study examines the anti-abortion rhetoric used in legislative hearings for this extreme abortion restriction in South Carolina. By examining the arguments used by anti-abortion proponents, we aim to expose their misalignment with public opinion on abortion and demonstrate that their …

Use Of Digital Technologies For Public Health Surveillance During The Covid-19 Pandemic: A Scoping Review, Lorie Donelle Phd, Rn, Fcan, Leigha Comer, Brad Hiebert, Jodi Hall, Jacob J. Shelley, Maxwell J. Smith, Anita Kothari, Jacquelyn Burkell, Saverio Stranges, Tommy Cooke, James M. Shelley, Jason Gilliland, Marionette Ngole, Danica Facca

Publications

Throughout the COVID-19 pandemic, a variety of digital technologies have been leveraged for public health surveillance worldwide. However, concerns remain around the rapid development and deployment of digital technologies, how these technologies have been used, and their efficacy in supporting public health goals. Following the five-stage scoping review framework, we conducted a scoping review of the peer-reviewed and grey literature to identify the types and nature of digital technologies used for surveillance during the COVID-19 pandemic and the success of these measures. We conducted a search of the peer-reviewed and grey literature published between 1 December 2019 and 31 December …

Key Informant Perceptions Of Challenges And Facilitators To Implementing Passive Remote Monitoring Technology For Home Care Clients, Grace Warner, Lori E. Weeks, Yu Ting Chen, Bradley Hiebert, Kathleen Ledoux, Lorie Donelle Phd, Rn, Fcan

Publications

Background: Passive remote monitoring technologies (RMT) are an option that could keep frail older adults home longer while reducing care burdens on family/friend caregivers. In contrast to active RMT which requires an individual to engage with the technology (i.e., push a button), passive RMT does not require any action to function (i.e., sensors or cameras). Objective: This qualitative study explored the challenges and facilitators of implementing passive RMT in home care settings by applying an implementation science lens. Method: Twenty semi-structured interviews were conducted with key informant stakeholders. Data were coded using a Framework Analysis approach that inductively and deductively …

Dealing With Incivility On Social Media: Faculty Support & Guidance, University Of South Carolina Office Of The Provost

Reports

This guide is designed to assist the campus community in responding to situations in which faculty members are targeted by individuals or groups outside of the university based on the content of the faculty member’s scholarship, teaching, and/or service. It addresses potential concerns in such situations and informs the campus about resources available to assist individual faculty members, departments chairs, and other administrators. The foundation for this guide is the University of South Carolina’s unwavering support for academic freedom and freedom of expression. The faculty’s right to academic freedom in teaching and research and service is protected as essential to …

Producer Interviews And Analysis As A Tool For Science Communication And Research Implementation In Agriculture, Lacy Marie Barnette

Theses and Dissertations

Research implementation beyond the laboratory requires both sound science and high-quality science communication. Science communication is an emerging field that is increasing in importance as the public has access to more information than ever, however there are some underlying obstacles like the lack of communication-specific training that scientists receive and disconnected populations. Agricultural producers have a perceived history of being disconnected from science even though modern agriculture relies heavily on researched practices and has an entire network of extension agencies intended to communicate with producers. One reason for this perceived disconnect is the one-way communication that has dominated science communication …

Attitudes Toward Implicit Bias Among Ncaa Medical Support Staff, B J. Warner, A P. Jacobsen, M Decker, S A. Cage

Clinical Practice in Athletic Training

Introduction: Implicit biases are unconscious attitudes, emotions, or stereotypes that have the potential to negatively affect behaviors, actions, and decisions. Recent research has shown that healthcare workers do not provide equitable care to patients from different demographics. When patients are receiving different levels of care, there is a potential for different patient-related outcomes. One of their first steps in many implicit bias interventions for healthcare professionals is identifying one’s implicit bias. The purpose of this study was to describe the attitudes toward implicit bias among non-athletic training healthcare professionals who provide care to collegiate student-athletes. Methods: An electronic survey was …

Cooperative Deep Q -Learning Framework For Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan

Publications

In this article, we address two key challenges in deep reinforcement learning (DRL) setting, sample inefficiency, and slow learning, with a dual-neural network (NN)-driven learning approach. In the proposed approach, we use two deep NNs with independent initialization to robustly approximate the action-value function in the presence of image inputs. In particular, we develop a temporal difference (TD) error-driven learning (EDL) approach, where we introduce a set of linear transformations of the TD error to directly update the parameters of each layer in the deep NN. We demonstrate theoretically that the cost minimized by the EDL regime is an approximation …

Moment-Based Reinforcement Learning For Ensemble Control, Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li

Publications

Problems involving controlling the collective behavior of a population of structurally similar dynamical systems, the so-called ensemble control, arise in diverse emerging applications and pose a grand challenge in systems science and control engineering. Owing to the severely under-actuated nature and the difficulty of placing large-scale sensor networks, ensemble systems are limited to being actuated and monitored at the population level. Moreover, mathematical models describing the dynamics of ensemble systems are often elusive. Therefore, it is essential to design broadcast controls that excite the entire population in such a way that the heterogeneity in system dynamics are robustly compensated. In …

Co-Creation Of A Training For Community Health Workers To Enhance Skills In Serving Lgbtqia+ Communities, Vanessa Kitzie, Julie Smithwick, Carmen Blanco, M. Greg Green, Sarah Covington-Kolb

Faculty Publications

This paper describes creating and implementing a 30-h LGBTQIA+ specialty training for community health workers (CHWs). The training was co-developed by CHW training facilitators (themselves CHWs), researchers with expertise in LGBTQIA+ populations and health information, and a cohort of 11 LGBTQIA+ CHWs who theater tested and piloted the course. The research and training team collected cohort feedback through focus groups and an evaluative survey. Findings stress the importance of a curriculum designed to elicit lived experiences and informed by a pedagogical framework centered on achieving LGBTQIA+ visibilities. This training is a vital tool for CHWs to foster cultural humility for …

Connecting Patient-Centered Care Research Into Athletic Training Clinical Practice, Lindsey E. Eberman, Zachary K. Winkelmann

Clinical Practice in Athletic Training

No abstract provided.

The Troubling Emergence Of Hallucination In Large Language Models--An Extensive Definition, Quantification, And Prescriptive Remediations, Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S.M Towhidul Islam Tonmoy, Aman Chadha, Amit Sheth, Amitava Das

Publications

The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has parallelly emerged as a by-product, posing significant concerns. While some recent endeavors have been made to identify and mitigate different types of hallucination, there has been a limited emphasis on the nuanced categorization of hallucination and associated mitigation methods. To address this gap, we offer a finegrained discourse on profiling hallucination based on its degree, orientation, and category, along with offering strategies for alleviation. As such, we define two overarching orientations of hallucination: (i) factual mirage (FM) …

Successes And Barriers Of Health Information Exchange Participation Across Hospitals In South Carolina From 2014 To 2020: Longitudinal Observational Study, Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu

Publications

Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that output polarity and emotional intensity when given a piece of text as input. Like other AIs, SASs are also known to have unstable behavior when subjected to changes in data which can make them problematic to trust out of concerns like bias when AI works with humans and data has protected attributes like gender, race, and age. Recently, an approach was introduced to assess SASs in a blackbox setting without training data or code, and rating them for bias using synthetic English data. We augment it by introducing two …

Issue Of Data Imbalance On Low Birthweight Baby Outcomes Prediction And Associated Risk Factors Identification: Establishment Of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies, Yang Ren, Dezhi Wu, Yan Tong, Ana Lopez-De Fede

Publications

Background: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and a major causative factor of adverse health effects in newborns. Identifying high-risk patients early in prenatal care is crucial to preventing adverse outcomes. Previous studies have proposed various machine learning (ML) models for LBW prediction task, but they were limited by small and imbalanced data sets. Some authors attempted to address this through different data rebalancing methods. However, most of their reported performances did not reflect the models’ actual performance in real-life scenarios. To date, few studies have successfully benchmarked the performance of ML …

U.S. Travelers’ Perceived Image Of Latin America As Their Future Travel Destination, Maricela I. Montes-Guerra, Natalia Zapata-Cuervo, Miyoung Jeong

Faculty Publications

This study identified U.S. travelers’ perceptions toward Latin America as their future place to visit, based on their perceived destination attributes, activities, and overall affective image. Selecting nine attractive destinations, this study aimed, first, to develop U.S. travelers’ perceptual mapping of countries by using destination image attributes and activities, second, to determine comparative strengths and weaknesses, and third, to propose destination marketing strategies that will derive U.S. travelers' attention to the country. Overall, Americans have favorable affective image toward the nine tourism destinations in Latin America. Costa Rica was respondents’ most preferred country to visit, followed by Peru and Brazil.