Digital Commons Network^™

Developing Scenario-Based Strategies For Health, Climate, And Environmental Preparedness: The One Health, One Earth Approach, T C Chakraborty, Cenlin He, Minghao Qiu, Jennifer D Stowell, Douglas Fritz, Sunil Kumar, Qiang Guo, Ying Xiong, Georgia Destouni, Qian Xiao, Xindi C Hu, Kelvin C Fong, Yun Hang, John Nielsen-Gammon, Rima Habre, Jennifer R Bratburd, Christopher W Tessum, Antarpreet Jutla, Gabriel M Filippelli, Thanh H Nguyen

Faculty, Staff and Student Publications

Climate change amplifies many threats to human health. Despite advances in understanding climate change dynamics and impacts, there remains a critical gap in translating scientific knowledge into equitable, and community‐driven health interventions. The inaugural One Earth, One Health workshop sought to explore this gap through human‐centered design exercises involving interdisciplinary researchers from climate and Earth sciences, engineering, epidemiology, microbiology, and environmental health. Although participants did not co‐develop solutions with affected communities, they used stakeholder role‐playing to guide ideation and lay groundwork for actionable plans. Through these methods, participants identified community needs and proposed prototype solutions to alleviate health threats …

Traumatic Brain Injury And Risk Of Early-Onset Dementia: A Population-Based Cohort Study, Barbara A Olson-Bullis, Paul S De Vries, Kristine Yaffe, Alexa Beiser, Abbas Dehghan, Elizabeth A Peterson, Rachel Zmora, John J Stephen, Denise Scholtens, Maxwell Mansolf, Lenore J Launer, Richard F Maclehose, Pamela L Lutsey, Norrina B Allen, Sanaz Sedaghat

Faculty, Staff and Student Publications

Introduction: We investigated the association between traumatic brain injury (TBI) and incidence of early-onset dementia (EOD) versus late-onset dementia (LOD).

Methods: We included 501,710 UK Biobank participants (average age 56.5). Over a median 13.6 years of follow-up, 836 developed EOD (before 65) and 8947 developed LOD (after 65). We estimated hazard ratios (HRs) for TBI's association with EOD and LOD using Cox proportional hazard models with TBI as a time-varying exposure and coefficient.

Results: TBI was associated with higher risk of both EOD (HR: 4.06 [95% confidence interval: 3.13, 5.26]) and LOD (HR: 2.51 [2.31, 2.72]. Among participants included in …

Robo2 Variants Associated With Atrial Septal Defect Define A Novel Regulatory Element, Arun Sharma, Olivia Layton, Angela Tai, Tarsha Ward, Lauren K Wasson, Joshua M Gorham, Erica Mazaika, Valentina N Lagomarsino, Tracy L Young-Pearse, Elizabeth Goldmuntz, Hiroko Wakimoto, A J Agopian, David M Mckean, Steven R Depalma, William T Pu, Christine E Seidman, Bruce D Gelb, Jonathan G Seidman

Faculty, Staff and Student Publications

Background: Atrial septal defects (ASDs) are a prevalent type of congenital heart disease. Previous GWAS (Genome-Wide Association Studies) have identified common variants associated with ASDs, though their mechanisms remain unknown. We aimed to expand insights into the architecture of common variants associated with ASD risk and elucidate functional mechanisms.

Methods: We conducted a GWAS using isolated ASD cases and healthy controls and replicated findings in an independent cohort. We examined epigenetic marks within this ASD locus in human induced pluripotent stem cell-derived cardiomyocytes and fetal human hearts. We characterized the consequences of deletions introduced by CRISPR-Cas9 mutagenesis of human induced …

Continuous Versus Bolus Norepinephrine Administration To Treat Hypotension After Induction Of General Anaesthesia In Low-To-Moderate Risk Noncardiac Surgery Patients: A Randomised Trial, Dominik Müller, Alina Kröker, Alina Bergholz, Christian Zöllner, Daniel I Sessler, Bernd Saugel

Faculty, Staff and Student Publications

Background: Hypotension after induction of general anaesthesia (postinduction hypotension) is common in patients undergoing noncardiac surgery and frequently requires treatment with vasopressors such as norepinephrine. We tested the hypothesis that giving norepinephrine continuously using a syringe infusion pump, compared with giving it as repeated manual boluses, reduces postinduction hypotension within 15 min after starting induction of general anaesthesia in low-to-moderate risk noncardiac surgery patients.

Methods: Patients undergoing elective noncardiac surgery were randomised to either continuous norepinephrine infusion or manual bolus norepinephrine administration intravenously during induction of general anaesthesia. In both groups, norepinephrine was administered through a peripheral venous catheter. Blood …

The All-Payer Claims Database After The Gobeille Supreme Court Decision: Assessing The Impact On Fatal Opioid-Related Overdose Research, Wenjun Li, Thomas J Stopka

Faculty, Staff and Student Publications

Objective: To determine the consequences of the Gobeille v. Liberty Mutual Supreme Court decision on the representativeness of the Massachusetts all-payer claims database (APCD). The loss of individuals captured in the APCD may vary demographically, geographically, and in the capture of fatal opioid-related overdose (OOD).

Data sources and study setting: We used 2013-2021 data from the Massachusetts Public Health Data Warehouse (PHD), which links person-level APCD records to other datasets. The APCD includes commercially-insured health claims mandatorily reported pre-Gobeille. Post-Gobeille, reporting from self-insured plans, a subset of commercially-insured plans, became voluntary.

Study design: In a repeated cross-sectional design, we compared …

Aht Diagnoses: The Influences Of Clinical Presentation And Evidence Of Impact, Kristine Campbell, Lori Frasier, Christopher Greeley, Danielle Horton, Nicole Johnson, Jan Leonard, Megan M Letson, Caitlin Mcnamara, Ashley Sherman, Shalon Nienow, Stuart Sommers, Joanne N Wood, James Anderst

Faculty, Staff and Students Publications

Background: The frequency of abusive head trauma (AHT) diagnoses by child abuse pediatricians (CAPs), especially regarding external evidence of head impact, has been questioned.

Objectives: To compare CAP diagnoses in subjects with subdural hemorrhage (SDH) across clinical presentations, including subgroups with and without external evidence of head impact. Additionally, we aimed to describe subjects with SDH and concomitant suspicious injuries (CSI) without evidence of head impact.

Participants and setting: Multicenter retrospective study including subjects < 24 months old with SDH.

Methods: Subjects were divided into groups based on clinical presentations: Ill SDH only, Non-ill SDH only, and SDH + CSI. Groups were subcategorized based on presence/absence …

Yield Of Injury Testing For Contacts Of Children Evaluated For Physical Abuse, M Katherine Henry, Jan Leonard, Angela Bachim, James D Anderst, Farah W Brink, Hannah B Sahud, Lori D Frasier, Nancy S Harper, Natalie Laub, Colleen J Bressler, Daniel M Lindberg

Faculty, Staff and Students Publications

Background: Siblings and household contacts of physically abused children are at increased risk for physical abuse and may have injuries that are not clinically apparent. However, injury testing recommendations for contact children remain debated.

Objective: Our objective was to describe testing practices and yield for contacts of physically abused children.

Participants and settings: This is a cross-sectional study of children < 10 years old evaluated for physical abuse at 10 US pediatric referral centers in the CAPNET research network.

Methods: We report the proportion of contact children who had a skeletal survey (SS) or neuroimaging and describe the proportion of tests that identified injuries.

Results: Among 6256 index evaluations, 4863 contacts were identified. Among 794 contacts with physical examinations, …

Cardiovascular Outcomes With Icosapent Ethyl By Burden Of Standard Modifiable Cardiovascular Risk Factors In Reduce-It, Christie M Ballantyne, Eliot A Brinton, Terry A Jacobson, Steven B Ketchum, Jean-Claude Tardif, Matthew J Budoff, Gemma A Figtree, Ph Gabriel Steg

Faculty, Staff and Students Publications

No abstract provided.

Heterogeneity Of Treatment Effects In Transcranial Direct Current Stimulation For Knee Osteoarthritis Pain And Symptoms, Chiyoung Lee, Xiaoxiao Sun, Juyoung Park, Chen X. Chen, Christine Pellegrini, Nan-Kuei Chen, David O. Garcia, Haewon Kim, C. Kent Kwoh, Hyochoi Ahn

Faculty Publications

Introduction: Although heterogeneity of treatment effects (HTEs) is commonly observed in clinical trials, it has received little attention in studies on transcranial direct current stimulation (tDCS).

Objectives: This study identified the presence of HTE in tDCS treatment among participants with symptomatic knee osteoarthritis (KOA) and explored participant characteristics associated with this heterogeneity.

Methods: This secondary analysis of a randomized clinical trial included 120 participants with symptomatic KOA who received 15 daily sessions of home-based 2-mA active or sham tDCS over 3 weeks. We used a multitrajectory analysis to identify distinct subgroups based on the longitudinal trajectories of KOA pain and …

Plasma N6 Polyunsaturated Fatty Acid Levels And Risk For Dementia: A Prospective Observational Study From The United Kingdom Biobank, Aleix Sala-Vila, Nathan Tintle, Jason Westra, Evan Dejong, Tom J. Clark, Paige Miller, Martha A. Belury, William S. Harris

Faculty Work Comprehensive List

Background

Some recent observational studies have linked higher blood linoleic acid (LA) concentration with lower risk of cardiometabolic diseases. However, these associations have not been observed for other n-6 polyunsaturated fatty acids (PUFAs), which, in some settings, have been linked to higher disease risk, and thus the controversy over the health effects of n-6 PUFAs remains. Dementia is a paradigmatic case of it.

Objectives

To investigate the association of LA and non-LA n-6 PUFAs with the risk of incident dementia.

Methods

We included 273,795 participants from the UK Biobank free of dementia at baseline for whom plasma n-6 PUFAs data …

Grading Machines: Can Ai Exam-Grading Replace Law Professors?, Kevin L. Cope, Jen Frankenreiter, Scott Hirst, Eric A. Posner, Daniel Schwarcz, Dane Thorley

Faculty Scholarship

In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly adopting them as complements to—or substitutes for—lawyers and other human experts. Several studies have examined LLMs' performance in taking law school exams, finding mixed results. Yet there have been no published studies systematically analyzing LLMs' competence at one of law professors' chief responsibilities: grading law school exams. This paper presents results of an analysis of how LLMs perform in evaluating student responses to legal analysis questions of the kind typically administered in law school exams. The underlying data come from …

On Predicting And Stopping Dystopia, Evan Selinger, Woodrow Hartzog

Faculty Scholarship

Is it reasonable to be dystopian about how the future will likely unfold? We think so. For some time, we have been arguing that facial recognition technology is a perfect tool of oppression, and that its pernicious affordances are leading society down a slippery slope toward the evisceration of privacy by obscurity. This is a soft form of “determinism”—the notion that while technology is not an unstoppable force and the future is not preordained, there nevertheless are identifiable factors, such as the invitingness of affordances, human nature, and incentives that drive technology in certain directions and make some social outcomes …

Exploring The Effect Of Counterstereotype And Perspective Taking In Reducing Bias And Promoting Empathy In Police, Sydney C. Timmer-Murillo, Keara Kangas, Nakia Gordon

Psychology Faculty Research and Publications

Racism in policing continues to be a serious issue in the United States (U.S.). While most efforts to reduce racism, focus on changing implicit (i.e., nonconscious) racial biases, other factors may also influence behavior. Intergroup emotion theory posits that emotions, especially empathy, may play a powerful role in changing behavior. In this study, using community-based participatory research design we created and tested a virtual reality (VR) experience designed to reduce implicit racial bias through perspective taking and counter-stereotypical information. Fifty-six police officers from a large city took part in the study. They completed questionnaires and an implicit association task (IAT) …

Generative Artificial Intelligence With A Human Touch: Building Hana, Conrad Johnson

Faculty Scholarship

This Essay examines how generative artificial intelligence (GenAI) can be integrated into legal education and public interest law practice in a way that meaningfully enhances — rather than diminishes — human judgment, professional responsibility, and access to justice. Drawing on the experience of Columbia Law School’s Lawyering in the Digital Age Clinic, the Essay situates GenAI within an experiential pedagogy that emphasizes competence, ethical awareness, and collaborative problem-solving. It argues that law students and lawyers must move beyond a passive or uncritical use of GenAI tools; toward a deeper understanding of how these systems operate, the risks they pose, and …

Bad Faith Disregard Of Benefits And Science In Federal Environmental Deregulation, Michael B. Gerrard

Faculty Scholarship

Since the beginning of the Reagan administration in 1981, federal agencies have used cost-benefit analysis when making important policy decisions, especially when issuing regulations. In the years since then the methodologies have been refined and enshrined in White House guidance. The second Trump administration has upended these practices by often ignoring the benefits of regulations and only considering the costs. In doing so it often claims that there are such uncertainties about the benefits that they should be disregarded. It uses these claims in support of repealing or softening regulations that prior administrations found would save thousands of human lives.

Ai In Criminal Justice: Against The Trade Secret Privilege, Rebecca Wexler

Faculty Scholarship

The criminal justice system is becoming automated. At every stage, from policing to evidence to parole, AI tools and other technologies guide outcomes. Debates over the pros and cons of these technologies have overlooked a crucial issue: ownership. Developers often claim that details about how their tools work are trade secrets and refuse to disclose that information to criminal defendants or their attorneys. The introduction of intellectual property claims into the criminal justice system raises under-theorised tensions between life, liberty, and property interests. This chapter argues that trade secrets should not be privileged in criminal proceedings. A criminal trade secret …

Long-Term Outcomes Of Left Bundle-Branch Pacing Vs Biventricular Pacing In Heart Failure: The Heartsync-Lbbp Randomized Clinical Trial, Zhongkai Wang, Yixiu Liang, Lei Zhang, Wei Wang, Jin Bai, Jingfeng Wang, Shengmei Qin, Weiwei Zhang, Tianbao Yao, Dong Huang, Ting Chen, Xianxian Zhao, Dening Liao, Jingbo Li, Jialiang Mao, Mihail G Chelu, Yangang Su, Kenneth A Ellenbogen, Junbo Ge

Faculty, Staff and Students Publications

Importance: Left bundle-branch pacing (LBBP) has been proposed as an alternative to biventricular pacing (BiVP) for patients with heart failure with left bundle-branch block (LBBB). However, robust clinical evidence from randomized clinical trials is lacking.

Objective: To evaluate the long-term clinical outcomes of LBBP and BiVP.

Design, setting, and participants: This multicenter, prospective, randomized clinical trial enrolled 200 patients at 6 centers in China with a left ventricular ejection fraction (LVEF) of 35% or less and LBBB from October 2020 to March 2022. This study was took place from October 2020 to September 2024. These data were analyzed September 2024 …

Black Equality In Ocd Neurogenomics (Belong): Study Protocol, Malini Bommiasamy, Ogechi Cynthia Onyeka, Slayton J Underwood, Juliana E Avery, Jacob Gluckman, Thariana Pichardo, Rhea Chandler, Yulu Brown, Katie Mangen, Emma Grace Choplin, Black Equality In Ocd Neurogenomics (Belong) Study Team, Sonyia C Richardson, Joseph D Buxbaum, Eric A Storch, James J Crowley, Sidney H Hankerson, Dorothy E Grice

Faculty, Staff and Students Publications

Obsessive-compulsive disorder (OCD) is a chronic, serious psychiatric disorder that affects 2%-3% of the population and is associated with high personal and societal costs. Genetic factors are estimated to explain roughly half the risk of developing OCD, and genomic studies are just beginning to identify common and rare genetic variants mediating this risk. A major goal of genomic studies is to yield insights into the etiology of OCD and identify molecular targets for the development of novel therapeutics. However, the overwhelming majority of subjects in existing genetic studies are of European ancestry, limiting the generalizability of these findings. To address …

Capacity For What? Elon Musk’S Doge, Public Value Destruction And The Darkside Of Policy Capacity, Adam Wellstead, Michael Howlett

Michigan Tech Publications

Purpose – This paper addresses a missing element in Wu et al.’s (2015) ninefold policy capacity framework: the ‘capacity for what’ question. Specifically, it explores the objectives toward which policy capacities are directed, focusing on how government capabilities and competencies can be utilized to either create or destroy public value. Design/methodology/approach – Through a literature review, the paper establishes the connections between public value and policy capacity. An illustrative case of value destruction, specifically, the US Department of Government Efficiency (DOGE) experience during the early second term of the Trump administration, is used to demonstrate how policy capacity can be …

Evaluating The Collision-Coalescence Process In Idealized Cloud Convection Using Large-Eddy Simulations With Lagrangian Microphysics, Yangze Ren, Kamal Kant Chandrakar, Fan Yang, Raymond Shaw

Michigan Tech Publications

Drizzle initiation through the collision and coalescence of cloud droplets plays a crucial role in warm cloud precipitation. Recent theoretical studies suggest that the influence of collisional growth on the droplet size distribution can be quantified by a non‐dimensional drizzle number (Dz). Here, large‐eddy simulations with Lagrangian microphysics are employed to evaluate the theory by simulating a tall convection‐cloud chamber under various conditions. Results show that the smaller the Dz, the larger the impact of collisions on the right tail of the droplet size distribution, consistent with the theory. The simulations confirm that the collision rate can be estimated from …

Fatigue Survival And Biomechanical Behavior Of Two-Piece Titanium And Zirconia Dental Implants

Faculty, Staff and Student Publications

Background: Titanium implants are considered the gold standard for oral rehabilitation; however, zirconia implants have emerged as a metal-free alternative with promising esthetic and biological properties. Despite these advantages, limited evidence is available regarding their long-term fatigue behavior and fracture resistance.

Material and methods: In this in vitro experimental study conducted at São Paulo State University (UNESP), Brazil, forty implants were divided into two groups (n = 20): zirconia implants (ZZ) and titanium implants (TZ) (4.1 × 10 mm). Implants were embedded in polyurethane blocks according to ISO 14801:2016 specifications. Monolithic zirconia crowns were fabricated using CAD/CAM technology and cemented …

Natural Language Generation In Healthcare: A Review Of Methods And Applications, Cheng Peng, Sankalp Talankar, Yonghui Wu

Faculty, Staff and Student Publications

Objective: This study presents a systematic review of natural language generation (NLG) methods and applications in the medical domain, providing quantitative and qualitative analyses to answer four key research questions regarding methods, evaluation, applications, and challenges of NLG in healthcare.

Methods: We searched PubMed, ACM Digital Library, Web of Science, Science Direct, Scopus, Embase, and ACL Anthology for NLG-related studies in healthcare from 2018 to 2024. Out of 3,988 research articles, 113 met the inclusion criteria and were analyzed across data modality, model architecture, evaluation metrics, and application domain.

Results and conclusion: NLG in healthcare has grown substantially, with annual …

A Topic Modeling Analysis Of Stigma Dimensions, Social, And Related Behavioral Circumstances In Clinical Notes Among Patients With Hiv, Robert L Cook, Jiang Bian, Yi Guo, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To characterize stigma dimensions, social, and related behavioral circumstances in people living with HIV (PLWHs) seeking care, using natural language processing methods applied to a large collection of electronic health record (EHR) clinical notes from a large integrated health system in the southeast United States.

Methods: We identified a cohort of PLWHs from the University of Florida (UF) Health Integrated Data Repository and performed topic modeling analysis using Latent Dirichlet Allocation (LDA) to uncover stigma-related dimensions and related social and behavioral contexts. Domain experts created a seed list of HIV-related stigma keywords, then applied a snowball strategy to iteratively …

Leadership Challenges In Achieving Healthcare Interoperability: A Cross-Sectional Survey Of Patient Experiences, Hoshiar J. Sher

Education Doctoral

Healthcare interoperability remains constrained not only by technical barriers but also by leadership, governance, and administrative fragmentation. The purpose of this quantitative cross-sectional study was to examine how leadership-related barriers to interoperability were reflected in patients’ and caregivers’ experiences with administrative clarity, system integration complexity, trust in leadership, satisfaction, and switching behavior. Guided by transformational leadership theory, data were collected through an online survey of 435 U.S. adults who managed healthcare administrative tasks for themselves or family members. Descriptive, subgroup, and multivariable analyses were conducted to address five research questions. Respondents reported moderate coverage clarity and billing ease, elevated billing …

2026 April, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for April of 2026.

The Magazine, Spring 2026, Morehead State University. Office Of Communications & Marketing.

Morehead State Alumni Association Publications

The Magazine of Morehead State University from spring of 2026.

Comments From The Editors, Tulay Girard, Brian Whelan

Journal of Applied Marketing Theory

Welcome to the 2026 Special Issue of the Journal of Applied Marketing Theory (JAMT). JAMT is committed to providing a reputable platform for disseminating scholarly research that advances marketing knowledge while offering practical insights for marketing professionals.

In this special issue, we are pleased to present four manuscripts examining applications of artificial intelligence in the classroom and AI-driven personalization to enhance consumer engagement. Each article was well received by our review team and offers meaningful contributions to contemporary marketing discussions. We are delighted to share these works with our readers and hope you find them both insightful and thought-provoking.

Examining The Relationship Of Work Stressors And Resilience Among Inpatient Oncology Nurses: A Cross-Sectional Study:, Blanca Melida Vasquez-Clarfield

Theses & Dissertations

Burnout among inpatient oncology nurses remains a concern in a specialty marked by high patient acuity, complex care regimens, emotional intensity, and repeated exposure to suffering and death. Resilience is often discussed as a protective resource in nursing, yet less is known about how personal resilience and work resilience relate to work stress and burnout within inpatient oncology practice. This study examined the relationships among perceived work stress, personal resilience, work resilience, and burnout among registered nurses working in inpatient oncology units. It also explored whether selected nurse characteristics were associated with these variables and how nurses described workplace stressors, …

The Psychology Of Acquisition, Consumption, And Disposition Of Clothing Among Consumers, Kamila Muratkyzy Buckle, Trang Phuc Tran

AMTP Proceedings 2026

This qualitative analysis investigates consumer behavior in the clothing industry, highlighting the importance of qualitative data in informing retail strategies and gaining a deeper understanding of the complex motivations and emotional connections consumers maintain with fashion brands. The analysis explores a variety of values that impact clothing acquisition, including affordability, quality, and ethical considerations, while investigating the influence of social media on consumer brand loyalty and purchase motivations. Through focus groups, interviews, and social media analysis, this research project emphasizes how retail brands can implement consumer insight to improve engagement. The results enrich the understanding of consumer behavior and provide …

Analyzing Big Data-Ai's Impact On Product Innovation And Customer Engagement, Omar Itani, Samer Elhajjar, Ashish Kalra Dr, Manal Yunis Dr.

AMTP Proceedings 2026

In contemporary business landscapes, an organization's capacity to deliver groundbreaking innovative products and foster deep, meaningful engagement with its customers stands as the paramount objective of modern strategic practices. This dual focus not only drives sustainable growth but also fortifies competitive positioning in hyper-competitive markets. Yet, despite the extensive empirical evidence highlighting the transformative benefits of innovation—such as enhanced market share and profitability—and customer engagement—evidenced by loyalty, advocacy, and repeat business—the pivotal role of big data-artificial intelligence (BD-AI) technologies remains strikingly underexplored. In particular, scant attention has been paid to how BD-AI training equips firms to harness these tools effectively …