Spatio-temporal dynamics and influencing factors of carbon emissions (1997-2019) at county level in mainland China b.

Global warming caused by extensive carbon emissions is a critical global issue. However, the lack of county-level carbon emissions data in China hampers comprehensive research. To bridge this gap, we employ a deep learning method on nighttime light data sets to estimate county-level carbon emissions in mainland China from 1997 to 2019.

Prevalence, mortality and risk factors for self-reported COPD among smokers and never smokers, NHANES 1999-2018.

Introduction: Cigarette smoke is the main risk factor for chronic obstructive pulmonary disease (COPD), but 25% to 50% of cases occur in non-smokers. In the US, limited recent national data compare COPD prevalence between smokers and never smokers. Furthermore, our study seeks to explore the prevalence and mortality of self-reported COPD among smokers (including current smokers and ex-smokers) and never smokers in the US from 1999 to 2018, and to identify the risk factors and differences.

Provincial-level analysis of electrification feasibility and climate policy interactions.

Improving electrification feasibility is essential for reducing emissions from non-electric energy sources, thereby enhancing air quality and public health. Concurrently, climate mitigation actions, such as carbon pricing policies, have significant potential to alleviate increasing carbon dioxide (CO) and other co-emitted air pollutants. However, the interactions between climate policy and the improvement of electrification feasibility at the provincial level remain unclear, collectively impacting the net-zero transition of energy-intensive sectors.

The impact of environmental protection tax on the health of middle-aged and older adults: evidence from CHARLS data in China.

Introduction: With the aging population, the relationship between human health and the ecological environment has gained increasing attention. In China, it is imperative to evaluate the policy effects of the Environmental Protection Tax (EPT) on improving the ecological environment and enhancing the health of middle-aged and older adult people.

Methods: This study, based on data from the China Health and Retirement Longitudinal Study (CHARLS), employs a Difference-in-Differences (DID) model to assess the health effects of the EPT policy.

Biological Sex Disparities in the Economic Burden of Tobacco Use: A Comparative Analysis between Men and Women in China.

To examine the impact of tobacco use on the economic costs between biological sex differences, we utilized propensity score matching and human capital methods to analyze the economic costs associated with smoking. Our findings reveal a nuanced pattern in the economic burden: although men who smoke bear a higher overall economic cost, the individual impact on women who smoke is significantly more profound. As a result, there exists a distinct disparity in the distribution of economic consequences stemming from tobacco use between men and women.

A high-frequency sense list.

A number of high-frequency word lists have been created to help foreign language learners master English vocabulary. These word lists, despite their widespread use, did not take word meaning into consideration. Foreign language learners are unclear on which meanings they should focus on first.

Artificial intelligence and job performance of healthcare providers in China.

Introduction: This study explores the influence of artificial intelligence (A.I.) applications on the job performance of healthcare providers, based on data from standardised-trained residents in the First People's Hospital of Yunnan Province in China.

Supervisor's neuroticism and problematic Internet use among graduate students: the mediating role of supervisor-student relationship quality and the moderating role of fear of the supervisor's negative evaluation.

Background: Graduate students exhibit vulnerability to problematic Internet use, which can result in adverse physical, psychological, and social consequences. However, limited studies have addressed this issue among graduate students, and even fewer have explored the unique factors contributing to their problematic Internet use. Therefore, to address this gap, the current study aims to probe the relationship between supervisor's neuroticism and problematic Internet use among graduate students, the mediating effect of the supervisor-student relationship quality, as well as the moderating effect of fear of the supervisor's negative evaluation.

A novel block-coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling.

Joint models for longitudinal and time-to-event data are receiving increasing attention owing to its capability of capturing the possible association between these two types of data. Typically, a joint model consists of a longitudinal submodel for longitudinal processes and a survival submodel for the time-to-event response, and links two submodels by common covariates that may carry both fixed and random effects. However, research gaps still remain on how to simultaneously select fixed and random effects from the two submodels under the joint modeling framework efficiently and effectively.

Inference for restricted mean survival time as a function of restriction time under length-biased sampling.

The restricted mean survival time (RMST) is often of direct interest in clinical studies involving censored survival outcomes. It describes the area under the survival curve from time zero to a specified time point. When data are subject to length-biased sampling, as is frequently encountered in observational cohort studies, existing methods cannot estimate the RMST for various restriction times through a single model.

Environmental regulation effect on health poverty in China.

How does government spending on environmental protection benefit people's health? The current paper analyzed 2010 and 2018 data from the China Family Panel Studies (CFPS) database to measure the impact of province-level environmental regulations on the health of local population. The study also applied the Alkire Foster method to develop the multidimensional health poverty (MHP) score, a new index intended to measure the health status of individuals in a holistic manner. Our results indicated that more fiscal spending on environmental regulation could improve health of the local population, especially among low-income population living in the rural areas.

Association among Household Wealth, Maternal Employment, and Undernutrition in Children under Three Years of Age in Pakistan.

Background: There is an abundance of studies explaining the separate impact of female employment and household wealth status in reducing malnutrition. However, our study has unraveled the combined impact of maternal employment and household wealth on undernutrition among children under three in Pakistan.

Methods: Using a sample of 1093 children under three years of age from the Pakistan Demographic and Health Survey 2017-2018, a binary logistic model was employed to gauge factors influencing the children's undernutrition.

Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia.

This study aims to develop and validate a machine learning (ML) predictive model for assessing mortality in patients with malignant tumors and hyperkalemia (MTH). We extracted data on patients with MTH from the Medical Information Mart for Intensive Care-IV, version 2.2 (MIMIC-IV v2.

Service opening and wages of manufacturing firms: Evidence from China.

Based on the 'Catalogue for the Guidance of Foreign Investment' and the input-output table issued by the National Bureau of Statistics, this paper constructs the service opening index from 1998 to 2013. With this indicator, we empirically study the impact of the service industry opening-up on firm wage. Our research yields a few findings.

How does green credit affect industrial green transformation? Mechanism discussion and empirical test.

Sustainable development has become a strategic consensus in response to the global environmental problems. Green credit is a major policy innovation that promotes the transformation of economic development mode and industrial green transformation (IGT). Using provincial panel data from 2005 to 2020, we investigate the effect of green credit on IGT using a systematic GMM model, a dynamic threshold model, as well as the possible nonlinear relationship.

Housing wealth, fertility and children's health in China: A regression discontinuity design.

This paper examines the influence of housing wealth on fertility outcomes through a regression discontinuity design based on a 2006 Chinese housing-market policy. Our analysis reveals that the positive impact of this policy on housing wealth significantly enhances the likelihood of fertility by 7.3 %.