Digital Commons Network^™

Direct And Indirect Associations Of Childhood Adversities With Functional Impairment And Life Stress Among Military Personnel, Laura Campbell-Sills, Emily R. Edwards, Sam D. Strizver, Karmel W. Choi, Jason D. Kautz, Santiago Papini, James A. Naifeh, Pablo A. Aliaga, Paul B. Lester, Ronald C. Kessler, Robert J. Ursano, Murray B. Stein, Paul D. Biese

Faculty Publications

Background

Adverse childhood experiences (ACEs) are associated with physical and mental health difficulties in adulthood. This study examines the associations of ACEs with functional impairment and life stress among military personnel, a population disproportionately affected by ACEs. We also evaluate the extent to which the associations of ACEs with functional outcomes are mediated through internalizing and externalizing disorders.

Methods

The sample included 4,666 STARRS Longitudinal Study (STARRS-LS) participants who provided information about ACEs upon enlistment in the US Army (2011–2012). Mental disorders were assessed in wave 1 (LS1; 2016–2018), and functional impairment and life stress were evaluated in wave 2 …

Non-Spectator Behavior Of A Neutral Phosphine Ligand Driven By A Redox-Active Boron Cluster, Jared R. Riffle, Cash L. Jowers, Sarah Luna, Mark D. Smith, Dmitry V. Peryshkov

Faculty Publications

A new concept of ligand ambiphilicity that relies on the redox behavior of the indirectly coordinated boron cluster scaffold instead of the direct involvement of a single center in a ligand is introduced. A copper(I) complex of a carboranyl-based triphosphine, [t^BuP-closo-{C₂B₁₀}-^PhP-closo-{C₂B₁₀}-t^BuP]CuPF₆, in acetonitrile solution coordinates an exogenous X− anion (X− = Cl− or N3−) at the phosphorus center of the ligand and not at the cationic metal site to form [t^BuP(X)-nido-{C₂B …

In Pursuit Of A Better Hospital Quality Metric For Medicare, Brad Wright Ph.D.

Faculty Publications

No abstract provided.

Resilience Mediates The Association Between Discrimination And Psychological Distress Among Rural, Black Women In South Carolina: A Structural Equation Model, Camryn Garrett, Abhisheak Aggrawal, Huiyi Xia, Cheuk Chi Tam, Bankole Olatosi Ph.D., Sarah Wilcox Phd, Xiaoming Li Ph.D., Shan Qiao Ph.D.

Faculty Publications

Introduction

The marginalization of intersecting racial, gender, and rural identities compounds the structural vulnerabilities (e.g., discrimination, stigma, health disparities) experienced by Black women in South Carolina’s rural areas. Discriminatory experiences can deteriorate mental health; however, resilience can potentially reduce the ill effects of discrimination by decreasing associated psychological distress. This study examines the mediating role of resilience in the association between discrimination and psychological distress among rural, Black women in South Carolina in the post-pandemic era.

Methods

Black women (n = 300, mean age = 48.6) living in rural South Carolina were recruited from January to February 2024 using …

Exploring Socio-Psychological Drivers And Pathways Of Sustainable Fashion Consumption, Jiyeon Kim Ph.D., Md. Rafiqul Islam Rana M.S.,Ph.D

Faculty Publications

This study explores social and psychological factors influencing the intention to purchase sustainable fashion products. Integrating self-congruity theory, self-completion theory, and Theory of Planned Behaviour, this study proposed a dual-path model of socio-psychological variables essential for shaping consumer attitudes towards sustainable consumption and subsequent purchase intention. Additionally, the moderating role of sustainable brand awareness in the link between attitude and intention and the effect of affordability on purchase intentions were tested. Data were collected from 278 US fashion consumers through an online survey, and PLS-SEM was used for the analyses. Results show that self-identity drives self-expressive benefits, while environmental awareness …

Summary Of Taxonomy Changes Ratified By The International Committee On Taxonomy Of Viruses (Ictv) From The Bacterial Viruses Subcommittee, 2025, Dann Turner, Evelien M. Adriaenssens, Rudolf I. Amann, Pavol Bardy, Nina Bartlau, Jakub Barylski, Stanislaw Błażejak, Majid Bouzari, Ariane Briegel, Yves Briers, Daniel Carrillo, Xia Chen, Dennis Classen, Ryan Cook, Marco A. Crisci, Arnaud Dechesne, Paulina Deptula, Bas E. Dutith, Bert Ely, Lars Fieseler, Et. Al.

Faculty Publications

This article summarises the activities of the International Committee on Taxonomy of Viruses Bacterial Viruses Subcommittee, detailing developments in the classification of bacterial viruses. We provide here an overview of all new, abolished, moved and renamed taxa proposed in 2024, approved by the Executive Committee, and ratified by membership vote in 2025. Through the collective efforts of 74 international contributors of taxonomy proposals in this round, 43 ratified proposals have led to the creation of one new phylum, one class, four orders, 33 families, 14 subfamilies, 194 genera and 995 species. These proposals mark significant progress in refining the taxonomy …

An Experimental Investigation Of Federal Messaging On Public Support For Enforcement- And Treatment-Based Approaches For Opioid Overdose Prevention In South Carolina, Lídia Gual-Gonzalez, Hunter M. Boehme, Peter Baker, Melissa Nolan Ph.D., Mph

Faculty Publications

Background

As the opioid overdose crisis continues to produce excessive morbidity and mortality in the United States, government agencies have applied various approaches to prevent overdoses, including law-enforcement efforts (e.g., arresting people who use drugs, interrupting drug traffickers, etc.) and treatment-based approaches (e.g., naloxone, medications for opioid use disorder, etc.). Public perception and support of these approaches are relevant for informing policy, allocating resources, and effectively implementing community interventions to prevent drug-related harms.

Methods

Using an embedded informational survey design, we experimentally assessed whether public support for strategies to prevent overdose in South Carolina is influenced by language from federal …

Impact Of Food Insecurity Resource Navigation For Primary Care Patients With Diabetes And Hypertension: A Matched Cohort Study, Deeksha Gupta, Darin Thomas, Stella Self, Edward A. Frongillo Jr. Ph.D., Alain H. Litwin, J. Alex Ewing, Lynnette Ramos-Gonzalez, A. Carolina Rudisill

Faculty Publications

Background

Food insecurity contributes to poor health and increased healthcare costs among patients with chronic diseases. Resource navigators can facilitate community-based resource connections, addressing food insecurity, but the impact on healthcare costs and quality of life remains unclear.

Objective

To examine whether food insecurity resource navigation improves clinical outcomes, healthcare charges, and quality of life for patients with diabetes and/or hypertension.

Design

Matched-control quasi-experimental study.

Patients

Patients underwent screening for food insecurity from July 12, 2021, to December 31, 2022, in South Carolina’s largest health system. Eligible patients (18 + years, having food insecurity, and diabetes and/or hypertension) enrolled for …

The Relationship Between Hand Grip Strength And Cognitive Function In Middle-Aged And Elderly People In China: A Cross-Sectional Analysis Based On Charls Data, Haiwei Li, Jing Zhang, Peipei Cheng, Liwei Guo, Xuemei Sui M.D., M.P.H., Ph.D.

Faculty Publications

This study explores the relationship between hand grip strength (HGS) and cognitive function in China’s middle-aged and elderly population. We employed a cross-sectional design using data from 4535 participants aged ≥ 45 years from the 2015 China Health and Retirement Longitudinal Study national dataset. The relationships between HGS and various dimensions of cognitive function, as well as the association between HGS and cognitive impairment, were investigated using ordinary least squares regression models and logistic regression models. Dose–response relationships between HGS and cognitive impairment were modeled using restricted cubic spline curves. Subgroup and sensitivity analyses were performed to assess the robustness …

Longitudinal Associations Between Waking Movement Behaviors And Health-Related Quality Of Life In Older Adults: A Compositional Data Analysis Approach, Jaclyn P. Maher, Alexander Jochim, Yeongjun Seo, Brynn L. Hudgins, Iman F. Khan, Peyton A. Greco, Emily M. Postlehwait, Om L. Patel, Krista S. Leonard, Chih-Hsiang Yang, Denver M. Y. Brown

Faculty Publications

Objectives

Movement behaviors, such as sedentary behavior (SB), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) are mutually exclusive, in that time spent in one behavior inevitably displaces time spent in another. Yet, few studies have simultaneously considered these health behaviors and their association with health-related quality of life (HRQoL), an important indicator of health and well-being in aging populations. This study aimed to explore the role of waking movement behaviors (i.e., SB, LPA, MVPA) in prospectively predicting HRQoL in older adults. The study further aimed to cross-validate associations between movement behaviors and HRQoL using …

Modeling The Influence Of Silicon Content On Electrochemical Performance Of Silicon-Graphite Blended Electrodes Considering Voltage Hysteresis, Mohamed Atwair, Paul T. Coman, Ralph E. White

Faculty Publications

Silicon, with its high specific capacity, is a highly promising material for lithium-ion battery anodes. To enhance durability, it is commonly combined with graphite in composite anodes. Despite this, the electrochemical dynamics between silicon and graphite are not yet fully understood. Modeling serves as an important tool for analyzing and improving batteries, but current models lack comprehensive representation of the coupled electrochemical and structural behavior of silicon-graphite blended electrodes. Herein, we present a comprehensive model for blended Si/Gr electrodes that incorporates the distinct properties and kinetics of each material. Our approach accounts for the dependence of electrode thickness and solid …

A Caffeine And Theacrine Combination Improves Cognitive Performance In Tactical Personnel Under Physically Fatiguing Conditions, Blaine S. Lints, Adam T. Harrison, Sten O. Stray-Gundersen, Gianna F. Mastrofini, Riccardo F. Romersi, Noah K. Nakagawa, Mackenzie B. Yonder, Chimaobim E. Martin-Diala, Alexa J. Chandler, R. Davis Moore, Shawn M. Arent Ph.D., Cscs*D, Fissn, Facsm, Fnak

Faculty Publications

Background

Optimizing human performance under stressful physical and cognitive conditions is paramount during high-stakes military operations. As such, interventions to improve warfighter performance by mitigating task-induced cognitive performance deficits are necessary. While caffeine is the most widely consumed psychoactive substance in the world, common side effects (i.e. anxiousness, micro-saccades, irritability) may be detrimental to warfighter operations. Theacrine, a purine alkaloid similar in structure to caffeine but with a longer half-life, less habituation, and fewer side effects, is proposed as a caffeine-alternative to enhance cognitive resilience.

Methods

Tactically trained participants (n = 20; F = 5; M = 16; age …

Modeling Self-Discharge In Li/S Batteries Through Electrochemical Anode Reactions: A Theoretical Perspective, Ralph E. White, Paul T. Coman

Faculty Publications

The growing demand for high-energy-density batteries has renewed interest in lithium–sulfur (Li/S) systems, which offer significant advantages but suffer from severe self-discharge during rest. While prior studies attribute this degradation to chemical parasitic reactions or polysulfide shuttling, they overlook the inherently electrochemical nature of anode-side processes. In this work, a 1D physics-based model of a Li/S battery was developed to explicitly incorporate lithium-metal oxidation and the stepwise electrochemical reduction of polysulfides at the anode. Using COMSOL Multiphysics, galvanostatic discharge followed by open-circuit rest under two conditions was analyzed - with and without parasitic anode reactions. The results show that when …

Quantifying Electrokinetics Of Naca0.6V6O163h2O Cathode In Aqueous Zinc-Ion Batteries With Znso4 Electrolyte, Shichen Sun, Boyu Wang, Kevin Huang

Faculty Publications

Aqueous zinc-ion batteries (AZIBs) have been actively studied in recent years as a promising solution for next-generation stationary energy storage due to their inherent safety, low cost, and high energy density. However, their practical deployment remains hindered by the limited cycling stability of cathode materials. Overcoming this challenge requires a detailed understanding of cathodic electrokinetics and degradation mechanisms. In this study, we investigate the electrokinetic behavior of a NaCa_0.6V₆O₁₆3H₂O (NaCaVO) cathode in ZnSO4 electrolyte through a combined application of the galvanostatic intermittent titration technique (GITT) and electrochemical impedance spectroscopy (EIS). For the …

Quantifying Electrokinetics Of Naca0.6V6O16·3h2O Cathode In Aqueous Zinc-Ion Batteries With Znso4 Electrolyte, Shichen Sun, Boyu Wang, Kevin Huang

Faculty Publications

Aqueous zinc-ion batteries (AZIBs) have been actively studied in recent years as a promising solution for next-generation stationary energy storage due to their inherent safety, low cost, and high energy density. However, their practical deployment remains hindered by the limited cycling stability of cathode materials. Overcoming this challenge requires a detailed understanding of cathodic electrokinetics and degradation mechanisms. In this study, we investigate the electrokinetic behavior of a NaCa_0.6V₆O₁₆·3H₂O  (NaCaVO) cathode in ZnSO₄ electrolyte through a combined application of the galvanostatic intermittent titration technique (GITT) and electrochemical impedance spectroscopy (EIS). For …

Measuring The Economic Value Of An Innovation When Some Investors Are Inattentive, Thomas J. Chemmanur, Dongmei Li, Kevin Tseng, Yvonne Yu Wang

Faculty Publications

We analyze the effects of limited investor attention on the stock market reaction to innovation announcements and develop a new measure of patents’ economic value. We hypothesize that, when some investors pay delayed attention to innovation announcements, there will be a post-announcement drift in addition to the announcement effect, with the former decreasing and the latter increasing in investor attention. Using media coverage and abnormal Google search volume as investor attention proxies, we find consistent evidence. Our new attention-weighted measure of patents’ economic value has greater predictive power for future firm performance than measures based on the announcement effect alone.

Community And School Programs, Policies And Environments Related To Child Dietary Intake:The Healthy Communities Study, Gail Woodward-Lopez, Alexander C. Mclain, Edward A. Frongillo Jr., Natalie Colabianchi, Vicki Collie-Akers, Lorrene D. Ritchie

Faculty Publications

Background

To reverse the epidemic of unhealthy eating and related chronic disease in the United States, intervening early in life is essential.

Objective

Identify features of community- and school-based programmes, policies and environments related to child intake of fruits and vegetables (FV) and sugar-sweetened beverages (SSB).

Methods

Dietary intake of children 4–15 years old (n = 5138) from elementary and middle schools in 130 US communities was collected by survey (of parent and/or child) in 2013–2015. Features of community programs and policies (CPPs) and school environments were collected by staff surveys, direct observation, key informant interviews, and/or document review. …

Designing Context-Specific Physical Activity Interventions For English Primary Schools: Key Learning From A Four-Month Rapid Ethnography, Robert Walker, Danielle House, Simona Kent-Saisch, Alice Porter, Ruth Salway, Lydia Emm-Collison, Michael W. Beets Med, Mph, Phd, David Revalds Lubans, Frank De Vocht, Russell Jago

Faculty Publications

Background

Physical activity is essential for children’s health. Primary schools offer an opportunity to equitably promote physical activity. However, school-based interventions have been shown to have little to no effect, potentially due to a lack of consideration of school heterogeneity. This study reports on a rapid ethnography study that was used to capture insights into English primary schools physical activity. The data are intended to inform the design of a context-specific intervention to improve pupil physical activity.

Methods

Three researchers conducted a four-month rapid ethnography study within three primary schools in Bristol, UK, between March and July 2024. Several methods …

A Perovskite Nanocomposite And Self-Assembled Nanoparticle-Decorated Cathode For Low Temperature Sofcs, Chunyang Yang, Guoan Wang, Xingjian Xue

Faculty Publications

One-pot route synthesis of an A-site Sm-doped simple perovskite with nominal composition Sm_0.10Ba_0.90Co_0.8Fe_0.2O_3−δ leads to a novel perovskite nanocomposite containing ∼90% A-site cation deficient cubic simple perovskite Ba0.925(Co/Fe)0.962Sm0.038O_3−δ and ∼10% orthorhombic layered perovskite SmBa(Co/Fe)₂O_5+δ. The synergy of the two phases in the nanocomposite results in high electrochemical kinetic properties at low temperatures. With the novel perovskite nanocomposite, a surface nanoparticle-decorated nanocomposite cathode is self-assembled through a one-step sintering process. The corresponding anode-supported cell delivers a peak power density of 1271 mW cm^{−2 …}

Designing Context-Specific Physical Activity Interventions For English Primary Schools: Key Learning From A Four-Month Rapid Ethnography, Robert Walker, Danielle House, Simona Kent-Saisch, Alice Porter, Ruth Salway, Lydia Emm-Collison, Michael Beets Med, Mph, Phd, David Revalds Lubans, Frank De Vocht, Russell Jago

Faculty Publications

Background

Physical activity is essential for children’s health. Primary schools offer an opportunity to equitably promote physical activity. However, school-based interventions have been shown to have little to no effect, potentially due to a lack of consideration of school heterogeneity. This study reports on a rapid ethnography study that was used to capture insights into English primary schools physical activity. The data are intended to inform the design of a context-specific intervention to improve pupil physical activity.

Methods

Three researchers conducted a four-month rapid ethnography study within three primary schools in Bristol, UK, between March and July 2024. Several methods …

Predicting Sleep And Sleep Stage In Children Using Actigraphy And Heartrate Via A Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation, Robert Weaver Med, Phd, James White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E. Brown, Russell R. Pate Ph.D., Gregory J. Welk, Massimiliano De Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L. Adams Phd, Bridget Armstrong, Michael Beets Med, Mph, Phd

Faculty Publications

Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5–12 years,52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred be-cause of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables(i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.

The Effectiveness Of Medical Nutrition Therapy For People At Moderate To High Risk Of Cardiovascular Disease In An Australian Rural Primary Care Setting: 12-Month Results From A Pragmatic Cluster Randomised Controlled Trial, Tracy L. Schumacher, Anna Jansson, Jaimee Herbert, Erin D. Clarke, Carissa Alderton, Penny Milson, Christopher Oldmeadow, Leanne J. Brown, Megan E. Rollo, Annabelle Williams, M Com Nutr, Michelle Guppy, Andrew Boyle, Shanthi Ramanathan, Jennifer T. May Phd, Rn, Anp-Bc, John Attia, Clare E. Collins

Publications

PURPOSE: To reduce risk of cardiovascular disease (CVD) in adults, as assessed by primary care doctors in rural NSW, Australia. Medical nutrition therapy (MNT) was delivered by Accredited Practicing Dietitians (APDs) using telehealth. METHODS: The study was a 12-month pragmatic cluster randomised controlled trial. All primary care practices (PCPs) within a large rural region were invited to participate, with enrolled practices stratified based on rurality and practice size. Patients at moderate to high CVD risk were recruited via practices. Usual care (UC) was provided by the patient's general practitioner (GP). In addition to UC, the intervention group received two hours …

How Multi-Scale Modeling Can Help Examine Social Determinants Of Health And Resulting Disparities, Kyoko Yoshida, Elsje Pienaar, Shalanda A. Bynum, Naomi Chesler, Mitchel J. Colebank, Jessie Heneghan, Nadra Tyus, Jasmine Miller-Kleinhenz, Bruce Y. Lee

Faculty Publications

Social determinants of health (SDOH) are the conditions in which people live, work, and play, and the wider set of factors (e.g., social and economic systems and policies) that shape a person’s daily life. SDOH can differ significantly across communities and populations, having positive impacts for some and negative impacts for others. Ultimately, this results in differences in health and disease distribution, that are known as health disparities. Despite the known impacts of SDOH and calls to characterize, address, reduce, and eliminate health disparities, they persist and, in some cases, have worsened. To address this challenge, a session at the …

Machine Tool Interoperability In Smart Manufacturing And Industry 4.0, M. R. Mccormick, Mohammed Shafae, Thorsten Wuest

Faculty Publications

Real-time decision making is supported by data-hungry emerging technologies such as machine learning and digital twins. Innovations in manufacturing process control utilizing these technologies are constrained by interoperability. Marketing materials, sales pitches, and academic literature portray interoperability on the factory floor as seamless and robust. However, this study demonstrates that in spite of plentiful mature standards, interoperability on the factory floor is neither seamless nor robust. To exemplify interoperability in the context of an established and widely adopted standard, this study analyzes the interoperability of machine tools produced by a premier equipment builder which has exceeded US$1 billion in sales …

Differences In Children’S Food And Beverage Consumption Between School And Summer: Three-Year Findings From The What’S Up (Undermining Prevention) With Summer Observational Cohort Study, Michael Beets Med, Mph, Phd, Sarah Burkart, Christopher D. Pfledderer, Elizabeth L. Adams Phd, Robert Weaver Med, Phd, Bridget Armstrong, Keith Brazendale, Xuanxuan Zhu, Alexander Mclain, Gabrielle Turner-Mcgrievy Ph.D., Rd, Russell R. Pate, Andrew T. Kaczynski, Amanda Fairchild, Brian Saelens, Hannah Parker, Amy L. Yaroch, Emily Eglitis, Anthony J. Holmes

Faculty Publications

Background

Summer vacation is a time when youth gain excessive weight. A key driver of unhealthy weight gain is poor dietary quality. The absence of consistent structure (e.g., school), is hypothesized to be one of the reasons for lower diet quality during summer. This study examined differences in school and summer dietary quality among a diverse cohort of children across three years. We also examined the impact of attending structured programs on children’s diets.

Methods

Parents of 1,032 children (age 5–14 years, 48% girls) completed a time use diary each day for 14-days during school (April/May) and again in summer …

Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini

Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are widely studied due to their persistence, prevalence, and harmful effects on human and environmental health. Key challenges include improving detection methodologies, such as lowering detection limits, and developing more sensitive and selective approaches. Given the ubiquity of PFAS, effective sensing must be paired with remediation strategies that transform these pollutants into value-added or less toxic products. This perspective explores recent advances in electrochemical PFAS detection, highlighting challenges and future opportunities.

Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini

Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are widely studied due to their persistence, prevalence, and harmful effects on human and environmental health. Key challenges include improving detection methodologies, such as lowering detection limits, and developing more sensitive and selective approaches. Given the ubiquity of PFAS, effective sensing must be paired with remediation strategies that transform these pollutants into value-added or less toxic products. This perspective explores recent advances in electrochemical PFAS detection, highlighting challenges and future opportunities.

Large Bandgap Observed On The Surfaces Of Euzn2As2 Single Crystals, Dejia Kong, Siavash Karbasizadeh, Ganesh Narasimha, Paras Regmi, Chenggang Tao, Chenggang Tao, Sai Mu, Rama Vasudevan, Ian Harrison, Rongying Jin, Zheng Gai

Faculty Publications

EuZn₂As₂ (M = Zn, Cd, In, Sn etc.) is an excellent material system for studying magnetism-tuned topological properties. However, discrepancies exist between experimental data and theoretical calculations regarding the bulk and surface bandgaps. In this work, cleaved EuZn₂As₂ crystals are studied using scanning tunneling microscopy/spectroscopy and density functional theory calculations. Triangular-shaped defect-induced modifications in the local density of states help distinguish between Eu-terminated and AsZn-terminated surfaces. While large bandgaps ( ~1.5 eV at 77 K) are observed on both pristine surfaces, the bandgap size is found to be highly sensitive to local heterogeneity, tending …

An Upper-Mesopelagic-Zone Carbon Budget For The Subarctic North Pacific, Brandon M. Stephens, Montserrat Roca-Martí, Amy E. Maas, Vinícius J. Amaral, Samantha Clevenger, Shawnee Traylor, Claudia R. Benitez-Nelson, Philip W. Boyd, Ken O. Buesseler, Craig A. Carlson, Nicolas Cassar, Margaret Estapa, Andrea J. Fassbender, Yibin Huang, Phoebe J. Lam, Oliver Marchal, Susanne Menden-Deuer, Nicola L. Paul, Alyson E. Santoro, David A. Siegel, David P. Nicolson

Faculty Publications

Mesopelagic zone (MZ) carbon budgets comparing supply with demand can be difficult to constrain due to the temporal and spatial offsets between key sources and sinks, their associated uncertainties, and potential sampling biases. To address these challenges, the EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) campaign increased the number and variety of simultaneous measurements to monitor temporal variability in the MZ carbon budget using both a Lagrangian frame of reference and long-term autonomous observations. In this study, we collate a comprehensive combination of new and previously published organic carbon supply and demand measurements collected from the surface (5 …

Electroexcitation Of Nucleon Resonances And Emergence Of Hadron Mass, Patrick Achenbach, Daniel S. Carman, Ralf Gothe, Kyungseon Joo, Victor I. Mokeev, Craig D. Roberts

Faculty Publications

Developing an understanding of phenomena driven by the emergence of hadron mass (EHM) is one of the most challenging problems in the Standard Model. This discussion focuses on the impact of results on nucleon resonance (N*) electroexcitation amplitudes (or γ_vpN*) obtained from experiments during the 6 GeV era in Hall B at Jefferson Lab on understanding EHM. Analyzed using continuum Schwinger function methods (CSMs), these results have revealed new pathways for the elucidation of EHM. A good description of the Δ (1232) 3/2⁺, N (1440) 1/2⁺, and Δ (1600) 3/2^{+ …}