Digital Commons Network^™

Grief Counseling Best Practices: A Delphi Study, Jillian M. Blueford, Megan J. Doughty Shaine, Elizabeth A. Doughty Horn, Marcela Kepic, Michael Kocet, Katie Kostohryz Dr., Sara Jean-Philippe, Jen R. Hartman

Adultspan Journal

This Delphi study identifies expert-informed best practices in grief counseling to address current gaps in counselor education. Findings present essential competencies—knowledge, skills, and awareness—to guide ethical, culturally responsive, and trauma-informed support for grieving individuals across diverse settings.

Trigger Warnings And A Pedagogy Of Trust, Morgan Read-Davidson

English Faculty Books and Book Chapters

"While the larger conversation about difficult content and trigger warnings is not new, the sudden need for urgently scheduled meetings with me did not begin until the COVID- 19 pandemic crisis and our move to remote instruction, and the subsequent adjustment back to the classroom. This seems to coincide with the increase of online and social media interaction during the pandemic, where the use of trigger warnings and content warnings on social media, particularly on Twitter, Instagram, and TikTok, have made the conversation far more visible. For students, this seems to have given them validation and confidence, as well as …

Introduction To Trigger Warnings: Teaching Through Trauma, Ian Barnard, Ryan Ashley Caldwell, Jada Patchigondla, Aneil Rallin, Morgan Read-Davidson, Ethan Trejo, Kristi M. Wilson

English Faculty Books and Book Chapters

"The individual histories of both trigger warnings and trauma have evolved rapidly in the overlapping wakes of COVID, mental health crises, attacks on educational institutions in the United States, climate apocalypse, evergrowing economic inequities, and, more promisingly, attempts at political redress and educational equity. At the same time, trigger warnings and trauma have become exponentially more intimately linked in the past few years. But however often the topic of trigger warnings provokes heated discussion, the appeals and alignments of the interlocutors equally as frequently defy neat political binaries. Critiques of trigger warnings come from all sides of the political and …

2025 - 2026 Faculty Senate Annual Report, University Of South Carolina

Faculty Senate

The primary file includes the 2025 - 2026 Admissions Committee Report. Additional annual reports are attached.

Msw Portfolio, Ashley V. Sifuentes

Graduate Student Portfolios, Professional Papers, and Capstone Projects

Growing into my voice, my journey throughout the MSW program.

E-Payment Systems Use: The Role Of Cybersecurity Risk And The Moderating Effect Of Risk Propensity And Technology Readiness, Abdou Illia, Hyunsun Kim-Hahm, Thomas Ngniatedema, Mahaman Sani Yakoubou

Journal of International Technology and Information Management

Advances in digitalization have accelerated consumer migrations away from traditional cash- and check-based payment systems towards electronic payment systems worldwide. Yet, many people still remain resistant. This study examined the role of motivational and inhibiting factors and their interaction effects on the use of e-payment systems. The findings suggest that perceived cybersecurity risk, risk propensity, trust in the companies offering the e-payment services, and technology readiness have a significant direct impact on the use of e-payment systems. The findings also suggest that risk propensity and technology readiness have a tempering effect on the negative impact of perceived risk. The study …

Business Process Redesign For Reducing Undelivered Product Return Losses In E-Commerce – An Explainable Ai Approach, Venkataraghavan Krishnaswamy, Deepa R, Himanshu Sharma

Journal of International Technology and Information Management

Product returns in e-commerce affect the profitability of the e-tailer. We adopt a two-stage approach to reduce undelivered product returns in an e-commerce firm. First, we develop and compare machine learning techniques—logistic regression, decision trees, Naïve Bayes, random forest, adaptive boosting, gradient boosting, stochastic gradient boosting, and deep neural networks—on their ability to predict undelivered returns. Next, we use explainable methods, such as relative importance and Shapley values, to develop insights from the best-performing machine learning model. Finally, we use these insights and the predictive model to redesign the firm’s order fulfillment and return processes. A Post-implementation evaluation of the …

College Of Liberal Arts Faculty Bylaws 2026-2027 - Amended 09/2026), College Of Liberal Arts Faculty, Rollins College

College of Liberal Arts Bylaws

No abstract provided.

Early And Sustained Improvements In Sense Of Smell With Tezepelumab Treatment In Patients With Chronic Rhinosinusitis With Nasal Polyps (Waypoint), Joaquim Mullol, Joseph K. Han, Tanya M. Laidlaw, Claire Hopkins, Anju T. Peters, Oliver Pfaar, Martin Desrosiers, Stella E. Lee, Andrew P. Lane, Claudia Chen, Yun Chon, Sandhia S. Ponnarambil, Andrews Foster, Andrew W. Lindsley, Christopher S. Ambrose

Department of Otolaryngology (ENT) Faculty Publications

Background

Loss of smell is a principal symptom of chronic rhinosinusitis with nasal polyps (CRSwNP), affecting health-related quality of life and posing a safety hazard.

Methods

WAYPOINT (NCT04851964), a phase 3, multicenter trial in adults with uncontrolled CRSwNP, randomized patients 1:1 to receive tezepelumab 210 mg or placebo subcutaneously every 4 weeks for 52 weeks. Changes from baseline in biweekly mean Nasal Polyposis Symptom Diary (NPSD) loss of smell item, University of Pennsylvania Smell Identification Test (UPSIT), and 22-item Sino-Nasal Outcome Test (SNOT-22) loss of smell/taste item scores, as well as anosmia (UPSIT score ≤18) prevalence, were assessed over 52 …

The Relationship Between Enablement Sentiment And Kpi Achievement, Stefanie Boyer, David E. Fleming, Michael Rodriguez, Tom Tonkin

Marketing Department Faculty Journal Articles

Sales enablement (defined as the "activities, systems, processes and information that support and promote knowledge-based sales interactions with client and prospects” (Gartner, n.d.)) has evolved from a tactical resource to a strategic organizational function, crucial for aligning sales and marketing. Despite its importance, there is a lack of research on how 'sentiment' (perceptions toward enablement) influnces key performance indicators (KPI). This exploratory survey of sales and enablement professionals investigates sentiment across individual, team, and company levels, and its relationship with KPI achievement. Results reveal positive relationships between sentiment and performance outcomes at all levels with organizational sentiment being the strongest …

Netchoice V. Wilson, District Of South Carolina

Historical and Topical Legal Documents

No abstract provided.

An Introduction For Nursing Research: An Open Educational Resource For The Undergraduate Nursing Student, Ellen Benjamin

OER Textbooks

The purpose of this text is not to prepare you to independently conduct research, but to help you become an informed and critical consumer of research. The ability to systematically evaluate the strengths, limitations, and applicability of research findings is known as critical appraisal. Critical appraisal is an expected competency of baccalaureate-prepared nurses [5] and requires a foundational understanding of research principles and methods. This book will introduce the research process, including common research methodologies, data collection and analysis approaches, ethical considerations, and strategies for translating research evidence into nursing practice.

What Is Hate Speech? A Proposal For An Ordinary And Legal Definition, Hannah Van Dijcke

SJD Dissertations

The term “hate speech” has been stretched in legal and public debates to cover speech ranging from insults to Holocaust denial. This definitional stretching has consequences beyond mere conceptual confusion: it risks obscuring the profound harm that hate speech does, and it facilitates the term’s misuse.

In this dissertation, I aim to precisely define hate speech and its harm, both in an ordinary (colloquial or non-legal) sense and in a legal sense. To do so, I examine real-world examples of speech widely understood to express hate, including texts from the context of the Holocaust and the Rwandan genocide, and conduct …

Bridging The Gap: A Systematic Review Of Cyber Conflict Forecasting Models And The Case For Ai-Driven Dynamic Frameworks, Salim Arfaoui, Youssef Harrath, Omar El-Gayar

Research & Publications

Cyber conflict forecasting remains constrained by static models that overlook the integration of geopolitical context with technical indicators. This systematic literature review examines 58 studies (2010–2025) using PRISMA guidelines and an Input-Process-Output framework to classify approaches and identify key gaps. Quantitative methods dominate (67%), yet only 14% incorporate geopolitical variables, despite the political nature of cyber conflict. Major limitations include adversarial adaptation blindness (85% assume static behavior), coarse temporal granularity (72% use daily+ intervals), lack of uncertainty quantification (75%), and minimal modeling of cross-domain escalation (92% cyber-only focus). Strategic forecasting is rare, with just 14% providing long-term insights and 16% …

Autotheme: A Multi-Agent Framework For Inductive Thematic Analysis With Llms, Abdullah Wahbeh, Omar El-Gayar, Mohammad Al-Ramahi, Tareq Nasralah, Ahmed Elnoshokaty

Research & Publications

Thematic analysis is a qualitative research method used to identify and interpret patterns in textual data. However, it can be time-consuming and challenging to replicate. While recent advancements in large language models (LLMs) and generative AI have enhanced thematic analysis, existing methods often rely on prompt-based interactions and require significant human intervention. This paper introduces an agentic AI framework comprising autonomous, goal-directed agents powered by LLMs to perform inductive thematic analysis with minimal human input. We evaluate the framework using a dataset from a Cognitive Behavioral Therapy (CBT) mobile app and compare the results with those from Latent Dirichlet Allocation …

The Explainable Ai Paradox: When Transparency Improves Decision Quality And When It Creates Overconfidence, Harsha Sammangi, Poloju Pravalika

Research & Publications

Explainable artificial intelligence (XAI) is widely promoted as a remedy for algorithmic opacity, premised on the assumption that revealing a model's reasoning improves human oversight and decision quality. This study investigates the Explainable AI Paradox: the possibility that explanations simultaneously increase trust, reliance, and adoption while also producing overconfidence in flawed models — improving decision quality when models are valid but amplifying errors when models are not. Using a controlled experiment with 921 managers making pricing, lending, or inventory decisions assisted by AI systems of deliberately varied validity, participants were randomly assigned to one of five explanation conditions: no explanation, …

The Effects Of Expectancies And Attention To Placebo Relevant Sensations On The Open-Label Placebo Response, Miranda Connelly

Cal Poly Humboldt theses and projects

Placebo analgesia has shown promise in treating pain, but practitioners are reluctant to prescribe deceptive placebos. Open-label, or honestly prescribed placebos, offer an ethical alternative. Open-label placebos seem to work largely through experimenter-manipulated expectancy, as well as social/environmental factors. Additionally, verbally guided attention to relevant placebo sensations might bolster pain relief. In the present study, expectancy and attention were experimentally manipulated within a 2 (expectancy: high/low) x 2 (attention: high/low) between-subjects design with a no-treatment comparison group. Pain was experimentally induced in all five experimental groups using the well-established cold pressor task. The primary dependent variables were pain tolerance and …

The Effect Of Automated Self-Monitoring On The Behavior Of Individuals Diagnosed With Pre-Diabetes Or Type 2 Diabetes, Leti Phillips Armenta

Cal Poly Humboldt theses and projects

Type 2 diabetes (T2D) and prediabetes affect millions of individuals in the United States and require effective self-management strategies to reduce glucose variability and improve health outcomes. This study evaluated the effects of automated self-monitoring using the Dexcom G7 continuous glucose monitor (CGM) on glucose management and health-related behaviors among adults diagnosed with prediabetes or at risk for T2D. A repeated-measures design was used to asses’ participants across two distinct 10-day periods. Data included CGM glucose readings, self-report questionnaires, and social validity measures. Results indicated that participants demonstrated reduced glucose variability, fewer prolonged glucose spikes, and increased engagement in health-related …

Real-World Anti-Amyloid Therapy Beyond Traditional Symptomatic Populations: A Longitudinal Case Series, Jayoung Han, Yuan Fang, Darlingtina Esiaka, Olufunmilola Abraham

Mathematics & Statistics Faculty Publications

Introduction: Anti-amyloid monoclonal antibodies are approved as disease-modifying therapies for early Alzheimer’s disease (AD), but real-world evidence remains limited, particularly among individuals treated during preclinical or minimally symptomatic stages. This study characterized clinical and biomarker trajectories among anti-amyloid therapy recipients across disease stages.

Method: We conducted a longitudinal retrospective case series of three biomarker-positive individuals from the Alzheimer’s Disease Neuroimaging Initiative who received lecanemab or donanemab. Clinical, cognitive, cerebrospinal fluid, plasma biomarker, and amyloid PET data were examined.

Results: In all three cases, most of the observation period preceded anti-amyloid therapy initiation. Clinical trajectories varied by biomarker profile and treatment …

Optimizing Control Definitions In Opioid Use Disorder Genetic Research Using Electronic Health Records, Maria Niarchou, Ellen L Tsai, Mariela V Jennings, Annika Faucon, Hyunjoon Lee, Kritika Singh, Justin D Tubbs, Panos Roussos, Tian Ge, Richard C Crist, Rachel Vickers-Smith, Howard Edenberg, Amy Moore, Bradley T Webb, Eric O Johnson, Rachel L Kember, Jordan W Smoller, Lea K Davis, Brandon J Coombes, Georgios Voloudakis, David Burstein, Travis T Mallard, Vanessa Troiani, Sandra Sanchez-Roige

Epidemiology and Environmental Health Faculty Publications

Amidst the opioid crisis, understanding the genetic basis of opioid use disorder (OUD) is crucial for identifying biological mechanisms and intervention points. However, genome-wide association studies (GWASs) have been hampered by inadequate sample sizes and often the use of control populations not assessed for prior opioid exposure. Because opioid exposure is a prerequisite for the development of OUD, consideration of exposure history in controls is important. Electronic health record data (EHR) paired with genomic information allow a broader sampling of patients with OUD and exposed controls. We leveraged data across two healthcare systems to evaluate the impact of using controls …

Building The Ryan White Hiv/Aids Program Bench In Kentucky, Lauren Bifulco, Kathleen Harding, Jana Collins, Anna Rogers, Lenon Farkash, Marwan Haddad, Alice Thornton

Epidemiology and Environmental Health Faculty Publications

The Ryan White HIV/AIDS program (RWHAP) is governed by legislative and programmatic guidelines that ensure comprehensive services are provided to persons with HIV (PWH) across the United States. Comprehensive training and skill building opportunities for programmatic staff are rare. RWHAP funding recipient organizations may struggle to acquire and retain essential program-specific knowledge, with downstream impact on patient care and treatment. We designed a comprehensive 11-session videoconference learning series to improve program staff’s confidence and competence with RWHAP fundamentals. Quantitative pre-vs-post session data were analyzed using Wilcoxon Signed-Rank tests, and qualitative data using thematic analysis. We enrolled 136 staff from 23 …

Identifying Transcriptomic Signatures That Mediate The Causal Effect Of Genotype On Alzheimer's Disease., Simran Kaur, Anna L. Tyler, Giovanna L Durante, Gregory Cary, Gregory W. Carter, J Matthew Mahoney

Faculty Research 2026

The combined effects of thousands of genetic polymorphisms account for Alzheimer's disease (AD) genetic risk. Most AD polymorphisms affect gene expression. Thus, the transcriptome, the set of all gene expression levels for every gene in the genome, is a major mediator between the genotype to phenotype. This study uses genotypes, transcriptomes, and clinical phenotypes to identify the transcriptomic signature that mediates the causal effect of genotype on AD. By utilizing a causal inference method known as high dimensional mediation analysis (HDMA) on the Religious Orders Study/Memory and Aging Project (ROSMAP) longitudinal cohort, the genotype, transcriptome, and phenotype data were reduced …

Weaponized Borders: A Contrapuntal Analysis Of Uneven Humanitarian Aid And Comparative Landscapes, Alex Orla-Bukowski

Cal Poly Humboldt theses and projects

The proliferation of global border regimes has caused an increased level of state violence against humans and the environment. In this thesis I explore how contemporary border regimes propagate myths on human mobility, obstruct humanitarian policy, and weaponize environmental landscapes to sustain state violence while obscuring political responsibility. Building on this, I argue that borders are the source of violence and create systems of vulnerability as a core-function of state making. My research primarily utilizes semi-structured interviews with humanitarian actors and secondary data analysis to trace the testimonies of those subject to state-based harm and explore the gaps in aid …

Improving Expository Reading Comprehension In College Students, Danielle M. De Lucia, George Noell

Psychology Faculty Publications

This study investigated the impact of the Collaborative Strategic Reading (CSR) method on reading comprehension and psychological well-being among college students, addressing a gap in research on expository reading comprehension at the post-secondary level. A total of 47 students from Introduction to Psychology courses participated in the study. Participants initially completed pre-test assessments, including a cloze test, the Wide Range Achievement Test, and scales for self-worth, depression, anxiety, and stress. Of these, 23 students underwent CSR intervention sessions, conducted over three weeks with bi-weekly 50-minute sessions using their course textbook. Post-intervention data from 44 students were analyzed using repeated-measures ANOVA. …

Reward Deficits In Co-Occurring Social Anxiety And Depression: The Roles Of Anhedonia, Boredom, Loneliness, And Covid-19 Social Restriction, Nathan M. Hager, Alicia L. Milam, Hannah C. Hamrick, Benjamin Swanson, Matt R. Judah

Psychology Faculty Publications

Prior research points toward reward deficits as crucial to the link between social anxiety disorder and major depressive disorder. However, studies have not explored specific types of reward deficits or how social-environmental factors may impact them. The current study examined whether the indirect effects of three reward deficits (anhedonia, boredom, and loneliness) accounted for the connection between social anxiety and depression. Questionnaires were collected in a sample of college students (N = 523) during the first year of the COVID-19 pandemic, allowing examination of environmental stressors (i.e., remote learning and current friend network size) on reward deficits. Indirect effect models …

2026-2029 Strategic Plan, Susan Davies

Documents of the Brain Health Collective

No abstract provided.

Construction Industry Preparedness For Generation Z And Millennials: Aligning Industry Characteristics With Workforce Job Preferences, Ameenullah Amiri, Dhaval R. Gajjar, Jason D. Lucas

The Professional Constructor

The construction industry in the United States suffers from workforce shortages, partly due to younger generations being hired more slowly than baby boomers retire. Generation Z’s (Gen Z) lack of interest in joining the construction industry, coupled with the retirement of older workers, has amplified the problem. This paper investigates existing literature to identify the work and career preferences of Gen Z and Millennials and determine where the industry may focus efforts to attract these two generations. Through a systematic literature review, this study identified overlaps and gaps between the current construction industry workforce’s perceptions of the industry and the …

School Girls; Or The African Mean Girls Play

Theatre and Performance Studies Programs

School Girls; or the African Mean Girls Play

Winter 2026 Otterbein Connections, Institutional Advancement

Otterbein Connections

In this issue:

• Welcome Letter by Floyd Akins
• Students Helping to Strengthen Bonds by Jordan Helphrey
• Volunteer Spotlight
• Division Name Update
• Year-End Giving by Jordan Helphrey
• Summer Fun at the 'Bein by Dana Viglietta '96
• Understanding Donor Advised Funds by Kathleen Bonte
• Class of 1975 Celebrates 50th Golden Reunion by Stephanie Clark
• Alumni Spotlight by Michael Hickin '25
• Reminders
• Words of Encouragement by Valerie Gruber '84

Interest, Self-Efficacy, And Belonging In Classroom Learning, K. Ann Renninger, Lux K. Barton , '21, Gia Bautista , '23, Mary Garcia-Barrios , '24, Iyinoluwa Ogunyinka , '24, Kathryn R. Riley

Educational Studies Faculty Works

Students’ interest, self-efficacy, and belonging are considered essential for classroom learning, as each has been shown to promote sustained engagement and school achievement. However, our review of the literature suggested that research on interest, self-efficacy, and belonging is largely siloed. To address practitioner questions about supporting classroom learning by working with the three variables, we added a mixed-method pilot study to the review process. Pilot participants were Black, middle-school-age youth living in a low-income community, who were enrolled in a five-week, inquiry-informed science workshop facilitated by a Black professor. Findings showed that during learning, interest, self-efficacy, and belonging were increasingly …