bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motives for and Barriers to Research Participation Among Racially and Ethnically Diverse Veterans
Authors: Miller Mary Beth , Flores Lisa Y , Dorimé-Williams Marjorie L , Williams Michael S , Martinez Leticia D , Freeman Lindsey K , Everson Adam T , Hall Nicole A , Monk J Kale , McCrae Christina S , Borsari Brian 
Published: May 2022

ABSTRACT

Introduction
Veterans in general—and especially those who identify as Veterans of color—are underrepresented in health-related treatment research. This contributes to health inequity by hindering the development of evidence-based treatment recommendations for people of color. This project utilized culturally centered research procedures to identify health-related research priorities and examine motives for and barriers to research participation in a diverse sample of Veterans.

Materials and Methods
Veterans (N = 330, 32% female; 36% Black, 28% White, 15% Latinx, 12% Asian, 4% Multiracial) reported their experiences with and perspectives on health-related research online from remote locations. Linear regression was used to test associations between discrimination and motives/barriers for research. All procedures were approved by the Institutional Review Board (#2033562).

Results
Participants identified psychological concerns, particularly PTSD, as research priorities for Veterans in their communities, but also prioritized physical problems (e.g., brain injury) and social concerns (e.g., homelessness, access to care). Perceptions of, motives for, and barriers to research were similar across racial/ethnic groups. The most common motive was contributing to research that seems important, and the most common barrier was not knowing about research opportunities. Every-day experiences with discrimination (e.g., people acting as if they are afraid of you because of your race/ethnicity) were associated with more barriers to research among Black participants.

Conclusions
Experiences of racial/ethnic discrimination are associated with different research-related outcomes across racial/ethnic groups. Efforts to engage diverse populations should prioritize access to (not willingness to participate in) health-related research.
Direct and green repairing of degraded LiCoO2 for reuse in lithium-ion batteries
Authors: Wang Junxiong , Zhang Qi , Sheng Jinzhi , Liang Zheng , Ma Jun , Chen Yuanmao , Zhou Guangmin , Cheng Hui-Ming 
Published: May 2022

Abstract
Traditional recycling processes of LiCoO2 rely on destructive decomposition, requiring high-temperature roasting or acid leaching to extract valuable Li and Co, which have significant environmental and economic concerns. Herein, a direct repairing method for degraded LiCoO2 using a LiCl–CH4N2O deep eutectic solvent (DES) was established. The DES is not used to dissolve LiCoO2 but directly serves as a carrier for the selective replenishment of lithium and cobalt. Replenishment of lithium restores LiCoO2 at different states of charge to a capacity of 130 mAh/g (at 0.1 C rate), while replenishing the cobalt increases the capacity retention rate of 90% after 100 cycles, which is comparable to pristine LiCoO2. The DES is collected and reused multiple times with a high repair efficiency. This process reduces energy consumption by 37.1% and greenhouse gas emissions by 34.8% compared with the current production process of LiCoO2, demonstrating excellent environmental and economic viability.
Am I Positive? Improving Human Immunodeficiency Virus Testing in the Era of Preexposure Prophylaxis and Immediate Antiretroviral Therapy Using Machine Learning
Authors: Zucker Jason , Carnevale Caroline , Gordon Peter , Sobieszczyk Magdalena E , Rai Alex J 
Published: May 2022

Abstract

Background
Human immunodeficiency virus (HIV) testing is the first step in the HIV prevention cascade. The Centers for Disease Control and Prevention HIV laboratory diagnostic testing algorithm was developed before preexposure prophylaxis (PrEP) and immediate antiretroviral therapy (iART) became standards of care. PrEP and iART have been shown to delay antibody development and affect the performance of screening HIV assays. Quantitative results from fourth-generation HIV testing may be helpful to disambiguate HIV testing.

Methods
We retrospectively reviewed 38 850 results obtained at an urban, academic medical center. We assessed signal-to-cutoff (s/co) distribution among positive and negative tests, in patients engaged and not engaged in an HIV prevention program, and evaluated changes in patients with multiple results. Classification and regression tree (CART) analysis was used to determine a threshold cutoff, and logistic regression was used to identify predictors of true positive tests.

Results
Ninety-seven percent of patients with a negative HIV test had a result that was ≤0.2 s/co. For patients tested more than once, we found differences in s/co values did not exceed 0.2 s/co for 99.2% of results. CART identified an s/co value, 38.78, that in logistic regression on a unique validation cohort remained associated with the likelihood of a true-positive HIV result (odds ratio, 2.49).

Conclusions
Machine-learning methods may be used to improve HIV screening by automating and improving interpretations, incorporating them into robust algorithms, and improving disease prediction. Further investigation is warranted to confirm if s/co values combined with a patient's risk profile will allow for better clinical decision making for individuals on PrEP or eligible for iART.
ACPA-negative and ACPA-positive RA patients achieving disease resolution demonstrate distinct patterns of MRI-detected joint-inflammation
Authors: Verstappen Marloes , Matthijssen Xanthe M E , Connolly Sean E , Maldonado Michael A , Huizinga Tom W J , van der Helm-van Mil Annette H M 
Published: May 2022

Abstract

Objectives
Although sustained DMARD-free remission (SDFR; sustained absence of clinical-synovitis after DMARD-discontinuation) is increasingly achievable in RA, prevalence differs between ACPA-negative (40%) and ACPA-positive RA (5–10%). Additionally, early DAS remission (DAS4months&lt;1.6) is associated with achieving SDFR in ACPA-negative, but not in ACPA-positive RA. Based on these differences, we hypothesized that longitudinal patterns of local tissue inflammation (synovitis/tenosynovitis/osteitis) also differ between ACPA-negative and ACPA-positive RA patients achieving SDFR. With the ultimate aim being to increase understanding of disease resolution in RA, we studied MRI-detected joint inflammation over time in relation to SDFR development in ACPA-positive RA and ACPA-negative RA.

Methods
A total of 198 RA patients (94 ACPA-negative, 104 ACPA-positive) underwent repeated MRIs (0/4/12/24 months) and were followed on SDFR development. The course of MRI-detected total inflammation, and synovitis/tenosynovitis/osteitis individually were compared between RA patients who did and did not achieve SDFR, using Poisson mixed models. In total, 174 ACPA-positive RA patients from the AVERT-1 were studied as ACPA-positive validation population.

Results
In ACPA-negative RA, baseline MRI-detected inflammation levels of patients achieving SDFR were similar to patients without SDFR but declined 2.0 times stronger in the first year of DMARD treatment [IRR 0.50 (95% CI; 0.32, 0.77); P &lt; 0.01]. This stronger decline was seen in tenosynovitis/synovitis/osteitis. In contrast, ACPA-positive RA-patients achieving SDFR, had already lower inflammation levels (especially synovitis/osteitis) at disease presentation [IRR 0.45 (95% CI; 0.24, 0.86); P = 0.02] compared with patients without SDFR, and remained lower during subsequent follow-up (P = 0.02). Similar results were found in the ACPA-positive validation population.

Conclusion
Compared with RA patients without disease resolution, ACPA-positive RA patients achieving SDFR have less severe joint inflammation from diagnosis onwards, while ACPA-negative RA patients present with similar inflammation levels but demonstrate a stronger decline in the first year of DMARD therapy. These different trajectories suggest different mechanisms underlying resolution of RA chronicity in both RA subsets.
Pharmacological treatment patterns in patients with juvenile idiopathic arthritis in the Netherlands: a real-world data analysis
Authors: Kip Michelle M A , de Roock Sytze , Currie Gillian , Marshall Deborah A , Grazziotin Luiza R , Twilt Marinka , Yeung Rae S M , Benseler Susanne M , Vastert Sebastiaan J , Wulffraat Nico , Swart Joost F , IJzerman Maarten J 
Published: May 2022

AbstractObjectiveTo investigate medication prescription patterns among children with JIA, including duration, sequence and reasons for medication discontinuation.MethodsThis study is a single-centre, retrospective analysis of prospective data from the electronic medical records of JIA patients receiving systemic therapy aged 0–18 years between 1 April 2011 and 31 March 2019. Patient characteristics (age, gender, JIA subtype) and medication prescriptions were extracted and analysed using descriptive statistics, Sankey diagrams and Kaplan–Meier survival methods.ResultsOver a median of 4.2 years follow-up, the 20 different medicines analysed were prescribed as monotherapy (n = 15) or combination therapy (n = 48 unique combinations) among 236 patients. In non-systemic JIA, synthetic DMARDs were prescribed to almost all patients (99.5%), and always included MTX. In contrast, 43.9% of non-systemic JIA patients received a biologic DMARD (mostly adalimumab or etanercept), ranging from 30.9% for oligoarticular persistent ANA-positive JIA, to 90.9% for polyarticular RF-positive JIA. Among systemic JIA, 91.7% received a biologic DMARD (always including anakinra). When analysing medication prescriptions according to their class, 32.6% involved combination therapy. In 56.8% of patients, subsequent treatment lines were initiated after unsuccessful first-line treatment, resulting in 68 unique sequences. Remission was the most common reason for DMARD discontinuation (44.7%), followed by adverse events (28.9%) and ineffectiveness (22.1%).ConclusionThis paper reveals the complexity of pharmacological treatment in JIA, as indicated by: the variety of mono- and combination therapies prescribed, substantial variation in medication prescriptions between subtypes, most patients receiving two or more treatment lines, and the large number of unique treatment sequences.
Carcinoma-Associated Mesenchymal Stem/Stromal Cells: Architects of the Pro-tumorigenic Tumor Microenvironment
Authors: Frisbie Len , Buckanovich Ronald J , Coffman Lan 
Published: May 2022

Abstract
The interaction between tumor cells and non-malignant hosts cells within the tumor microenvironment (TME) is critical to the pathophysiology of cancer. These non-malignant host cells, consisting of a variety of stromal, immune, and endothelial cells, engage in a complex bidirectional crosstalk with the malignant tumor cells. Mesenchymal stem/stromal cells (MSCs) are one of these host cells, and they play a critical role in directing the formation and function of the entire TME. These MSCs are epigenetically reprogrammed by cancer cells to assume a strongly pro-tumorigenic phenotype and are referred to as carcinoma-associated mesenchymal stem/stromal cells (CA-MSCs). Studies over the last decade demonstrate that CA-MSCs not only directly interact with cancer cells to promote tumor growth and metastasis but also orchestrate the formation of the TME. Carcinoma-associated mesenchymal stem/stromal cells can differentiate into virtually all stromal sub-lineages present in the TME, including pro-tumorigenic cancer-associated fibroblasts (CAF), myofibroblasts, and adipocytes. carcinoma-associated mesenchymal stem/stromal cells and the CAFs they produce, secrete much of the extracellular matrix in the TME. Furthermore, CA-MSC secreted factors promote angiogenesis, and recruit immunosuppressive myeloid cells effectively driving tumor immune exclusion. Thus CA-MSCs impact nearly every aspect of the TME. Despite their influence on cancer biology, as CA-MSCs represent a heterogenous population without a single definitive marker, significant confusion remains regarding the origin and proper identification CA-MSCs. This review will focus on the impact of CA-MSCs on cancer progression and metastasis and the ongoing work on CA-MSC identification, nomenclature and mechanism of action.
Estimation of empty body and carcass chemical composition of lactating and growing cattle: comparison of imaging, adipose cellularity, and rib dissection methods
Authors: Xavier Caroline , Driesen Charlotte , Siegenthaler Raphael , Dohme-Meier Frigga , Le Cozler Yannick , Lerch Sylvain 
Published: May 2022

Abstract
The aim of present study was to compare in vivo and post mortem methods for estimating the empty body (EB) and carcass chemical compositions of Simmental lactating and growing cattle. Indirect methods were calibrated against the direct post mortem reference determination of chemical compositions of EB and carcass, determined after grinding and analyzing the water, lipid, protein, mineral masses, and energy content. The indirect methods applied to 12 lactating cows and 10 of their offspring were ultrasound (US), half-carcass and 11th rib dual-energy X-ray absorptiometry (DXA) scans, subcutaneous and perirenal adipose cell size (ACS), and dissection of the 11th rib. Additionally, three-dimensional (3D) images were captured for 8 cows. Multiple linear regressions with leave-one-out-cross-validations were tested between predictive variables derived from the methods tested, and the EB and carcass chemical compositions. Partial least square regressions were used to estimate body composition with morphological traits measured on 3D images. Body weight (BW) alone estimated the EB and carcass composition masses with a root mean squared error of prediction (RMSEP) for the EB from 1 kg for minerals to 12.4 kg for lipids, and for carcass from 0.9 kg for minerals to 7.8 kg for water. Subcutaneous adipose tissue thickness measured by US was the most accurate in vivo predictor when associated with BW to estimate chemical composition, with the EB lipid mass RMSEP = 11 kg and R2 = 0.75; carcass water mass RMSEP = 6 kg and R2 = 0.98; and carcass energy content RMSEP = 236 MJ and R2 = 0.91. Post mortem, carcass lipid mass was best estimated by half-carcass DXA scan (RMSEP = 2 kg, R2 = 0.98), 11th rib DXA scan (RMSEP = 3 kg, R2 = 0.96), 11th rib dissection (RMSEP = 4 kg, R2 = 0.92), and perirenal ACS (RMSEP = 6 kg, R2 = 0.79) in this respective order. The results obtained by 11th rib DXA scan were accurate and close to the half-carcass DXA scan with a reduction in scan time. Morphological traits from 3D images delivered promising estimations of the cow EB and carcass chemical component masses with an error less than 13 kg for the EB lipid mass and than 740 MJ for the EB energy. Future research is required to test the 3D imaging method on a larger number of animals to confirm and quantify its interest in estimating body composition in living animals.
Comparative phylodynamics reveals the evolutionary history of SARS-CoV-2 emerging variants in the Arabian Peninsula
Authors: Alkhamis Moh A , Fountain-Jones Nicholas M , Khajah Mohammad M , Alghounaim Mohammad , Al-Sabah Salman K 
Published: May 2022

Abstract
Emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to be responsible for an unprecedented worldwide public health and economic catastrophe. Accurate understanding and comparison of global and regional evolutionary epidemiology of novel SARS-CoV-2 variants are critical to guide current and future interventions. Here, we utilized a Bayesian phylodynamic pipeline to trace and compare the evolutionary dynamics, spatiotemporal origins, and spread of five variants (Alpha, Beta, Delta, Kappa, and Eta) across the Arabian Peninsula. We found variant-specific signatures of evolution and spread that are likely linked to air travel and disease control interventions in the region. Alpha, Beta, and Delta variants went through sequential periods of growth and decline, whereas we inferred inconclusive population growth patterns for the Kappa and Eta variants due to their sporadic introductions in the region. Non-pharmaceutical interventions imposed between mid-2020 and early 2021 likely played a role in reducing the epidemic progression of the Beta and the Alpha variants. In comparison, the combination of the non-pharmaceutical interventions and the rapid rollout of vaccination might have shaped Delta variant dynamics. We found that the Alpha and Beta variants were frequently introduced into the Arab peninsula between mid-2020 and early 2021 from Europe and Africa, respectively, whereas the Delta variant was frequently introduced between early 2021 and mid-2021 from East Asia. For these three variants, we also revealed significant and intense dispersal routes between the Arab region and Africa, Europe, Asia, and Oceania. In contrast, the restricted spread and stable effective population size of the Kappa and the Eta variants suggest that they no longer need to be targeted in genomic surveillance activities in the region. In contrast, the evolutionary characteristics of the Alpha, Beta, and Delta variants confirm the dominance of these variants in the recent outbreaks. Our study highlights the urgent need to establish regional molecular surveillance programs to ensure effective decision making related to the allocation of intervention activities targeted toward the most relevant variants.
Long-Term Esca Monitoring Reveals Disease Impacts on Fruit Yield and Wine Quality
Authors: Dewasme Coralie , Mary Séverine , Darrieutort Guillaume , Roby Jean-Philippe , Gambetta Gregory A. 
Published: May 2022

Esca is a widespread grapevine trunk disease, and a global increase in esca incidence has been observed in recent decades. Estimates attribute considerable economic losses to esca, and the disease is considered one of the major causes of vine mortality and vineyard dieback. However, accurate quantification of esca incidence is difficult due to symptom inconsistency, and there are very few studies precisely quantifying yield losses and impacts on fruit composition and wine quality. This study carried out an extensive esca surveying program; annually monitoring approximately 57,000 vines across 12 estates in the Bordeaux region for 9 years. In conjunction with this surveying program, we quantified the yield losses of vines with known esca symptom histories and assessed their fruit composition and resulting wine quality. The study revealed that, because of year-to-year variation in symptom expression, accurate rates of esca can only be obtained through monitoring over many years. We found that yield losses in individual vines exhibiting esca can reach up to 50% but they are rarely unproductive, and when scaled to the parcel scale yield losses are low, never exceeding 1 hl/ha. In addition, the quality of the grapes produced is similar to that obtained from vines without symptoms. Finally, the majority of mortality observed in vineyards was not due to esca, with only 40% of dead vines exhibiting an esca history. These results suggest that the impact of esca is likely overestimated and that it is necessary to more broadly investigate other factors contributing to vine mortality and vineyard dieback.[Formula: see text] Copyright © 2022 The Author(s). This is an open-access article distributed under the CC BY 4.0 International license .
Trends in U.S. MD–PhD Program Matriculant Diversity by Sex and Race/Ethnicity
Authors: Martinez-Strengel Angela , Samuels Elizabeth A. , Cross Jeremiah , Cramer Laura D. , Desai Mayur M. , Gotian Ruth , Gross Cary P. , Latimore Darin , Cavazos Jose E. , Boatright Dowin 
Published: May 2022

Purpose
To examine demographic characteristics of matriculants to U.S. MD–PhD programs by sex and race/ethnicity from academic years (AYs) 2009–2018 and explore the relationships between trends in the percentage of female and underrepresented minority (URM) matriculants to programs with and without Medical Scientist Training Program (MSTP) funding.

Method
Linear regression and time trend analysis of the absolute percentage of matriculants into all U.S. MD–PhD programs was performed for self-reported sex and race/ethnicity, using Association of American Medical Colleges data for AYs 2009–2018, including an interaction for MSTP funding status (yes/no) and year. Linear regression of the percentage of programs matriculating no female or no URM students between AYs 2009 and 2018 was performed, focusing on programs in the top 3 quartiles by size (i.e., those matriculating 4 or more students per year).

Results
Between AYs 2009 and 2018, the percentage of matriculants to all MD–PhD programs who were female (38.0%–46.0%, 1.05%/year, P = .002) or URM (9.8%–16.7%, 0.77%/year, P < .001) increased. The annual percentage gains of URM matriculants were greater at MSTP-funded programs compared with non-MSTP-funded programs (0.50%/year, P = .046). Moreover, among MD–PhD programs in the top 3 quartiles by size, the percentage of programs with no female matriculants decreased by 0.40% per year (P = .02) from 4.6% in 2009 to 1.6% in 2018, and the percentage of programs with no URM matriculants decreased by 3.41% per year (P < .001) from 49% in 2009 to 22% in 2018.

Conclusions
A consistent and sustained increase in the percentage of female and URM matriculants to MD–PhD programs from AYs 2009–2018 was observed, but the annual increases in the percentages across groups were small, and the demographics of the MD–PhD workforce still do not reflect the diversity of the U.S. general population.
Remote and Hybrid Schooling During COVID-19: Associations with Child Behavior and Sleep
Authors: Levitt Kimberley J. , Munzer Tiffany , Torres Chioma , Schaller Alexandria , McCaffery Harlan , Radesky Jenny S. 
Published: May 2022

ABSTRACT:

Objective:
The purpose of this study was to assess the prevalence of child behavior, academic and sleep concerns, and parent stress and depression symptoms during COVID-19; to test associations of parent-child well-being with child school format; and to examine effect moderation by child race/ethnicity and material hardship.

Methods:
A total of 305 English-speaking parents of elementary school-age children completed online surveys regarding demographics, child school format, behavior, learning-related experiences, sleep, and parent stress and depression symptoms. Multivariable linear and logistic regression analyses examined associations of school format with child and parent outcomes.

Results:
Children were aged 5.00 to 10.99 years, with 27.8% underrepresented minority race/ethnicity. Per parental report, 27.7% attended school in-person, 12.8% hybrid, and 59.5% remote. In multivariable models, compared with children receiving in-person instruction, children receiving remote instruction exhibited more hyperactivity (β 0.94 [95% confidence interval, 0.18–1.70]), peer problems (β 0.71 [0.17–1.25]), and total behavioral difficulties (β 2.82 [1.11–4.53]); were less likely to show academic motivation (odds ratio [OR] 0.47 [0.26–0.85]) and social engagement (OR 0.13 [0.06–0.25]); were more likely to show schoolwork defiance (OR 2.91 [1.56–5.40]); and had a later sleep midpoint (β 0.37 [0.18–0.56]) and higher odds of cosleeping (OR 1.89 [1.06–3.37]). Associations of remote learning with behavior difficulties were stronger for children without material hardships.

Conclusion:
Children receiving remote and hybrid instruction were reported to have more difficulties compared with children receiving in-person instruction. Children with material hardships showed more behavior challenges overall but less associated with school format. Therefore, planning for a return to in-person learning should also include consideration of family supports.