bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of COVID-19 and the Prevalence of In-person Versus Telehealth Primary Care Visits and Subsequent Impacts on Tobacco Use Assessment and Referral for Cessation Assistance
Authors: Flocke Susan A , Albert Elizabeth L , Lewis Steven A , Seeholzer Eileen L , Bailey Steffani R 
Published: May 2024

Abstract

Introduction
The COVID-19 pandemic dramatically altered patterns of healthcare delivery. Smoking remains an important risk factor for multiple chronic conditions and may exacerbate more severe symptoms of COVID-19. Thus, it is important to understand how pandemic-induced changes in primary care practice patterns affected smoking assessment and cessation assistance.

Aims and Methods
Electronic health record data from eight community health centers were examined from March 1, 2019 to February 28, 2022. Data include both telehealth (phone and video) and in-person office visits and represent 310 388 visits by adult patients. Rates of smoking assessment, provision of referral to counseling, and orders for smoking cessation medications were calculated. Comparisons by visit mode and time period were examined using generalized estimating equations and logistic regression.

Results
The proportion of telehealth visits was &lt; 0.1% 1 year prior to COVID-19 onset and, 54.5% and 34.1% 1 and 2 years after. The odds of asking about smoking status and offering a referral to smoking cessation counseling were significantly higher during in-person versus telehealth visits; adjusted odds ratios (AOR) (95% CI) = 15.0 (14.7 to 15.4) and AOR (95% CI) = 6.5 (3.0 to 13.9), respectively. The interaction effect of visit type * time period was significant for ordering smoking cessation medications.

Conclusions
Telehealth visits were significantly less likely to include smoking status assessment and referral to smoking cessation counseling compared to in-person visits. Given that smoking assessment and cessation assistance do not require face-to-face interactions with health care providers, continued efforts are needed to ensure provision at all visits, regardless of modality.

Implications
The COVID-19 pandemic dramatically altered patterns of healthcare-seeking and delivery with a considerable rise in telehealth visits. This study examined 1 year prior to the onset of COVID-19 and 2 years after to evaluate the assessment of tobacco use and assistance with tobacco cessation and differences during in-person versus telehealth visits. Tobacco assessment was 15 times more likely during in-person versus telehealth visits in the 2 years post onset of COVID-19. Given that telehealth visits are likely to continue, ensuring that patients are regularly assessed for tobacco regardless of visit modality is an important concern for health systems.
How does a poor labour market affect inequalities in access to postsecondary education? Empirical evidence from 31 affluent countries
Authors: Lindemann Kristina , Gangl Markus 
Published: May 2024

Abstract
This study examines how macroeconomic conditions affect inequality of educational opportunity. Using longitudinal data from 30 European countries and the USA, we study the effect of changing unemployment rates on the extent of social inequality in postsecondary transitions in the period (2004–2016), which includes the Great Recession. The findings from multilevel models with country fixed effects show that rising unemployment rates tend to increase social inequalities in postsecondary transitions, as youth from low-educated families have increased risk for exclusion from both employment and education, while the likelihood of postsecondary enrolment slightly rises for youth from higher-educated families. Yet, economic downturns also incentivize youth whose parents have middle level of education to opt for postsecondary education, especially in contexts where it is more affordable. Our findings suggest that changing opportunity costs and economic insecurity are the relevant factors to explain changing inequalities in access to postsecondary education during a recession.
Harness the Co-Benefit and Avoid the Trade-off: The Complex Relationship between Income Inequality and Carbon Dioxide Emissions
Authors: Huang Xiaorui 
Published: May 2024

Abstract
Given the dual crises of climate change and rising economic inequality, it is imperative to improve the synergy between climate mitigation and income inequality reduction. Domestic income inequality is linked to nations’ carbon dioxide (CO2) emissions through multiple theorized pathways. Using a multidimensional framework, multiregional input–output analysis, panel regression analysis, and a sample of 34 high-income nations from 2004 to 2015, I investigate the relationships between nations’ income inequality and four components of CO2 emissions with distinct implications for climate change mitigation: (1) emissions generated by domestic-oriented supply chain activities; (2) emissions embodied in exports; (3) direct emissions from end-user activities; and (4) emissions embodied in imports. I theorize that income inequality is heterogeneously related to the four emission components via different pathways. Results show that the relationships vary across emission components, change over time, and differ between inequality measures. The Gini coefficient is generally less influential on CO2 emissions than the income share of the top 10%. Notably, the income share of the top 10% is negatively related to direct end-user emissions from 2009 to 2011 and positively related to emissions in exports from 2011 to 2015, indicating variations in pathways both across emission components and over time—especially during and after the Great Recession. The findings underscore the multidimensionality in the income inequality-CO2 emissions relationship. Whether reducing income inequality can generate the co-benefit of emission abatement while avoiding a potential trade-off is a context-specific question that requires careful policy design and implementation.
Stuck in an Unequal Society: Wealth Inequality and Pessimistic Prospects on Future Social Mobility in South Korea
Authors: Kang Woo Chang , Park Sunkyoung 
Published: May 2024

Abstract
Why do some people express optimism about their future social mobility, while others have a pessimistic view? This paper examines whether and how local wealth inequality is associated with individuals’ pessimistic or optimistic expectations of their future social mobility in South Korea. It argues that people in districts with greater economic inequality will have more pessimistic views of their future upward mobility, as high local inequality raises concerns among the public that their opportunities to move up the social ladder may be receding. Using economic inequality at the local level calculated using actual real estate transaction prices in South Korea from 2011 to 2018, the empirical results confirm the negative association between local inequality and individuals’ assessments of their future social mobility, particularly among residents in less affluent districts, those with low incomes, and those with a subjective awareness of belonging to a lower social class.
Is cognitive behavioral therapy for insomnia more cost-effective? New-perspective on economic evaluations: a systematic review and meta-analysis
Authors: Fang Leqin , Lyu Zhihong , Ai Sizhi , Du Shixu , Zhou Wenjing , Zeng Shufei , Luo Xue , Guo Junlong , Zhao Yuhan , Li Shuangyan , Hou Yanfei , Lu Ciyong , Zhang Bin 
Published: May 2024

Abstract

Study Objectives
To investigate the cost-effectiveness of cognitive behavioral therapy for insomnia (CBTI), with an additional focus on digital CBTI (dCBTI) in adults with insomnia.

Methods
We searched eight electronic databases for economic evaluations of CBTI: PubMed, Scopus, Web of Science, psycINFO, Cochrane, Library, CINAHL, ProQuest, and National Health Service Economic Evaluation Database. Meta-analyses were performed to investigate the effects and costs between CBTI and control groups (no treatment, other treatments included hygiene education and treatment as usual). Subgroup analyses for dCBTI were conducted.

Results
Twelve randomized controlled trial studies between 2004 and 2023 were included in our systematic review and meta-analyses. The incremental cost-utility ratios and incremental cost-effectiveness ratios showed that the CBTI and dCBTI groups were more cost-effective than controls, from healthcare perspective and societal perspective, respectively. Compared to controls, CBTI demonstrated significantly better efficacy within 12 months. Healthcare costs were significantly higher in the CBTI groups compared to the controls within 6 months but there was no difference at 12 months. Additionally, dCBTI was associated with significantly lower presenteeism costs compared to controls at 6 months.

Conclusions
Our findings suggest that CBTI is more cost-effective than other treatments or no treatment for adults with insomnia. It may bring more economic benefits in the long term, especially in long-lasting efficacy and cost reduction. In addition, dCBTI is one of the cost-effective options for insomnia.

PROSPERO Registration Number
CRD42 022 383 440

URL
www.crd.york.ac.uk/PROSPERO

Name for PROSPERO Registration
Cost-effectiveness of cognitive behavioral therapy for insomnia (CBTI): a systematic review with meta-analysis.
Decision-making in the multiphase optimization strategy: Applying decision analysis for intervention value efficiency to optimize an information leaflet to promote key antecedents of medication adherence
Authors: Green Sophie M C , Smith Samuel G , Collins Linda M , Strayhorn Jillian C 
Published: May 2024

Abstract
Advances in the multiphase optimization strategy (MOST) have suggested a new approach, decision analysis for intervention value efficiency (DAIVE), for selecting an optimized intervention based on the results of a factorial optimization trial. The new approach opens possibilities to select optimized interventions based on multiple valued outcomes. We applied DAIVE to identify an optimized information leaflet intended to support eventual adherence to adjuvant endocrine therapy for women with breast cancer. We used empirical performance data for five candidate leaflet components on three hypothesized antecedents of adherence: beliefs about the medication, objective knowledge about AET, and satisfaction with medication information. Using data from a 25 factorial trial (n = 1603), we applied the following steps: (i) We used Bayesian factorial analysis of variance to estimate main and interaction effects for the five factors on the three outcomes. (ii) We used posterior distributions for main and interaction effects to estimate expected outcomes for each leaflet version (32 total). (iii) We scaled and combined outcomes using a linear value function with predetermined weights indicating the relative importance of outcomes. (iv) We identified the leaflet that maximized the value function as the optimized leaflet, and we systematically varied outcome weights to explore robustness. The optimized leaflet included two candidate components, side-effects, and patient input, set to their higher levels. Selection was generally robust to weight variations consistent with the initial preferences for three outcomes. DAIVE enables selection of optimized interventions with the best-expected performance on multiple outcomes.
Recalling the Pomp and Populism of the 1822 Commission to the Californias
Authors: Brick Aaron 
Published: May 2024

Abstract
Upon Mexico’s independence, its Regency dispatched commissioner Agustín Fernández de San Vicente to ensure the allegiance of officials and residents of remote Alta California. His strategies for this pivotal commission are analyzed for the first time here. Fernández, inspired by the grand style of the new emperor, Agustín Iturbide, designed a lavish presentation meant for mass appeal. Literature on the commission has been dominated to date by the biased and belated eyewitness testimony of Mariano Guadalupe Vallejo and Juan Bautista Alvarado, who depicted Fernández as a sleazy demagogue. This article critically examines their interventions and the conditions under which these were produced. Their stories about the commissioner drinking and gambling were probably exaggerated. Locals never found out that Fernández was lying about being a canon.
IVChaucer
Authors: Menmuir Rebecca , Buchanan Peter , Fletcher Clare 
Published: May 2024

Abstract
This chapter has four sections: 1. General; 2. The Canterbury Tales; 3. Other Works; 4. Reception. Section 1 is by Peter Buchanan and Rebecca Menmuir; section 2 is by Peter Buchanan and Clare Fletcher; section 3 is by Clare Fletcher; section 4 is by Rebecca Menmuir.
Dipeptidyl peptidase‐4 disturbs adipocyte differentiation via the negative regulation of the glucagon‐like peptide‐1/adiponectin‐cathepsin K axis in mice under chronic stress conditions
Authors: Zhang Meiping , Yue Xueling , Xu Shengnan , Piao Jinshun , Zhao Longguo , Shu Shangzhi , Kuzuya Masafumi , Li Ping , Hong Lan , Kim Weon , Liu Bin , Cheng Xian Wu 
Published: May 2024

AbstractExposure to chronic psychosocial stress is a risk factor for metabolic disorders. Because dipeptidyl peptidase‐4 (DPP4) and cysteinyl cathepsin K (CTSK) play important roles in human pathobiology, we investigated the role(s) of DPP4 in stress‐related adipocyte differentiation, with a focus on the glucagon‐like peptide‐1 (GLP‐1)/adiponectin‐CTSK axis in vivo and in vitro. Plasma and inguinal adipose tissue from non‐stress wild‐type (DPP4+/+), DPP4‐knockout (DPP4−/−) and CTSK‐knockout (CTSK−/−) mice, and stressed DPP4+/+, DPP4−/−, CTSK−/−, and DPP4+/+ mice underwent stress exposure plus GLP‐1 receptor agonist exenatide loading for 2 weeks and then were analyzed for stress‐related biological and/or morphological alterations. On day 14 under chronic stress, stress decreased the weights of adipose tissue and resulted in harmful changes in the plasma levels of DPP4, GLP‐1, CTSK, adiponectin, and tumor necrosis factor‐α proteins and the adipose tissue levels of CTSK, preadipocyte factor‐1, fatty acid binding protein‐4, CCAAT/enhancer binding protein‐α, GLP‐1 receptor, peroxisome proliferator‐activated receptor‐γ, perilipin2, secreted frizzled‐related protein‐4, Wnt5α, Wnt11 and β‐catenin proteins and/or mRNAs as well as macrophage infiltration in adipose tissue; these changes were rectified by DPP4 deletion. GLP‐1 receptor activation and CTSK deletion mimic the adipose benefits of DPP4 deficiency. In vitro, CTSK silencing and overexpression respectively prevented and facilitated stress serum and oxidative stress‐induced adipocyte differentiation accompanied with changes in the levels of pref‐1, C/EBP‐α, and PPAR‐γ in 3T3‐L1 cells. Thus, these findings indicated that increased DPP4 plays an essential role in stress‐related adipocyte differentiation, possibly through a negative regulation of GLP‐1/adiponectin‐CTSK axis activation in mice under chronic stress conditions.
Machine learning approaches for estimating cross-neutralization potential among FMD serotype O viruses
Authors: Makau Dennis N , Arzt Jonathan , VanderWaal Kimberly 
Published: May 2024

AbstractIn this study, we aimed to develop an algorithm that uses sequence data to estimate cross-neutralization between serotype O foot-and-mouth disease viruses (FMDV) based on r1 values, while identifying key genomic sites associated with high or low r1 values. The ability to estimate cross-neutralization potential among co-circulating FMDVs in silico is significant for vaccine developers, animal health agencies making herd immunization decisions, and disease preparedness. Using published data on virus neutralization titer (VNT) assays and associated VP1 sequences from GenBank, we applied machine learning algorithms (BORUTA and random forest) to predict potential cross-reaction between serum/vaccine-virus pairs for 73 distinct serotype O FMDV strains. Model optimization involved tenfold cross-validation and sub-sampling to address data imbalance and improve performance. Model predictors included amino acid distances, site-wise amino acid polymorphisms, and differences in potential N-glycosylation sites.The dataset comprised 108 observations (serum-virus pairs) from 73 distinct viruses with r1 values. Observations were dichotomized using a 0.3 threshold, yielding putative non-cross-neutralizing (< 0.3 r1 values) and cross-neutralizing groups (≥ 0.3 r1 values). The best model had a training accuracy, sensitivity, and specificity of 0.96 (95% CI: 0.88-0.99), 0.93, and 0.96, respectively, and an accuracy of 0.94 (95% CI: 0.71-1.00), sensitivity of 1.00, and specificity of 0.93, positive, and negative predictive values of 0.60 and 1.00, respectively, on one testing dataset and an accuracy, AUC, sensitivity, specificity, and predictive values all approaching 1.00 on a second testing dataset. Additionally, amino acid positions 48, 100, 135, 150, and 151 in the VP1 region alongside amino acid distance were found to be important predictors of cross-neutralization.Our study highlights the value of genetic/genomic data for informing immunization strategies in disease management and understanding potential immune-mediated competition amongst related endemic strains of serotype O FMDVs in the field. We also showcase leveraging routinely generated sequence data and applying a parsimonious machine learning model to expedite decision-making in selection of vaccine candidates and application of vaccines for controlling FMD, particularly serotype O. A similar approach can be applied to other serotypes.
The phylogeny of Triticeae Dumort. (Poaceae): resolution and phylogenetic conflict based on a genome-wide selection of nuclear loci
Authors: Mason-Gamer Roberta J. , White Dawson M. 
Published: May 2024

ABSTRACTPremiseThe wheat tribe, Triticeae, has been the subject of molecular phylogenetic analyses for nearly three decades, and extensive phylogenetic conflict has been apparent from the earliest comparisons among DNA-based data sets. While most previous analyses focused primarily on nuclear vs. chloroplast DNA conflict, the present analysis provides a broader picture of conflict among nuclear loci throughout the tribe.MethodsExon data were generated from over 1000 nuclear loci using targeted sequence capture with custom baits, and nearly-complete chloroplast genome sequences were recovered. Phylogenetic conflict was assessed among the trees from the chloroplast genomes, the concatenated nuclear loci, and a series of nuclear-locus subsets guided byHordeumchromosome gene maps.Key resultsAt the intergeneric level, the analyses collectively reveal a few broadly consistent relationships. However, the prevailing pattern is one of extensive phylogenetic conflict throughout the tribe, among both deep and shallow branches, and with the extent of the conflict varying among data subsets.ConclusionsThe results suggest continual introgression or lineage sorting within and among the named lineages of the Triticeae, shaping both deep and shallow relationships in the tribe.
Identifying Representative Cell Line Models for TNBC Chemotherapy Drug Resistance via Systems Biology and Bioinformatics
Authors: Shao Shuai , Li Lang 
Published: May 2024

AbstractCancer cell lines, derived from tumors, have become essential tools in life science research and are commonly employed as experimental model systems in cancer research. However, researchers often overlook the similarities between clinical samples when selecting cell line models, potentially impacting the validity and applicability of their findings. In the context of triple-negative breast cancer (TNBC) chemotherapy drug resistance, our study aims to provide guidance for selecting appropriate cell line models by employing a combination of systems biology and bioinformatic approaches. These approaches, including hierarchical clustering analysis, Spearman’s rank correlation, and single sample gene set enrichment analysis (ssGSEA), allowed us to identify the most representative cell models that correspond to poor chemotherapy responders among TNBC patients.
Excessive Dietary Fructose Aggravates Heart Failure via Impairing Myocardial Fatty Acid Oxidation Metabolism in Diet Induced Obese Mouse
Authors: Zhang Yufeng , Xue Yuzhou , Gong Qifan , Xu Jingshen , Wang Shuaikang , Zhu Min , Wang Jinhui , Song Zhiqiang , Zhang Shuxian , Wang Hu , Jin Ling , Hua Kun , Yang Xiubin , Li Jianping , Li Jin , Xu Ming , Huang He 
Published: May 2024

SummaryBackgroundAn unhealthy diet and a sedentary lifestyle increase the prevalence of cardiometabolic syndrome. Several cardiovascular diseases (CVDs) have been highly linked to excessive added sugar intake, which alters whole-body metabolism, including heart tissue. However, whether specific added sugars can cause and aggravate severe heart dysfunction is still unknown.MethodsWe examined the association between CVDs and added sugar intake using statistical analyses and Mendelian randomization (MR). Then, we evaluated the effect of added sugar on mouse heart function employing a diet-induced obese (DIO) model with transverse aortic constriction (TAC) challenge. We measured the fatty acid and fructose metabolic flux in mouse hearts employing a mass spectrometry-basedin vivodouble stable isotopic labeling (DSIL) technique. The results of animal models were also confirmed in aortic stenosis (AS) patient samples.ResultsStatistical analyses and MR estimation on public databases indicated that added sugars, especially fructose, are associated with a high risk of heart failure. Feeding on either ingested or drunk fructose could aggravate heart failure and diastolic and systolic dysfunction in TAC challenged DIO mice. Mechanistically, excessive dietary intake of fructose could suppress heart fatty acid oxidation (FAO) metabolism via both shrinkage of the flux rate of FAO and inhibition of the AMPK-ACC axis. Activation of AMPK or deactivation of ACC could limit such heart dysfunction and myocardial hypertrophy. We also obtained plasma from 27 patients with AS and determined that the high fructose level instead of glucose or sucrose was linked to left ventricular ejection fractions (LVEF) and fractional shortening (FS) decline.ConclusionsFindings from epidemiological statistical analyses and investigations of animal models suggested the harmful effect of excessive fructose intake on heart function. Fructose could directly alter heart metabolism by suppressing FAO. Our results implied that targeting AMPK-ACC mediation could effectively attenuate excessive fructose-induced heart failure in DIO mice.