Spatiotemporal differences in and influencing effects of per-capita carbon emissions in China based on population-related factors.

Intensive human activities and resource consumption in China have led to increasing carbon emissions, placing enormous pressure on achieving sustainable development goals. Nonetheless, the effects of population-related factors and carbon emissions remain controversial. This study focuses on the spatiotemporal differences in and influencing effects of per-capita carbon emissions using 2010-2019 panel data covering 30 regions in China.

The impact of air pollution on hospitalization for COPD patients in China.

Background: With the rapid development of the global economy and the acceleration of urbanization, air pollution has become a major environmental problem threatening human health. There is limited evidence on the acute effects of air pollution on chronic obstructive pulmonary disease (COPD).

Methods: From 2014 to 2019, we collected data on daily admissions for COPD patients from a city in China.

Effect of dietary patterns on dental caries among 12-15 years-old adolescents: a cross-sectional survey.

Background: Several factors can influence the risk of dental caries, among which dietary factors have a significance impact on the occurrence of dental caries. The limitation of current studies is that they only focus on the influence of individual foods on the risk of dental caries. This study use cluster analysis to examine the relationship between dietary patterns and dental caries experience among adolescents aged 12-15.

Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China.

Background: Most previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the comprehensive health status of women of childbearing age is limited. This study aimed to comprehensively examine the health status of women of childbearing age through a multi-method and multi-indicator evaluation, analyze the factors that influence their overall health, and provide sound recommendations for the improvement and promotion of healthy behaviors.

Methods: Data on women of childbearing age living in Shanxi Province were collected between September 2021 and January 2022 through online and offline surveys.

Configurational paths to the green transformation of Chinese manufacturing enterprises: a TOE framework based on the fsQCA and NCA approaches.

In the current complex and ever-changing environment, the high-quality development of manufacturing enterprises has a long way to go. The theoretical framework based on technology, the organization and the environment (TOE) from a configuration perspective provides a new integrated theoretical perspective for studying the green transformation path of Chinese manufacturing enterprises. The research purpose of this article is to use fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to explore the configuration effects of various antecedents in the TOE theoretical framework of Chinese manufacturing enterprises, "technology (green technological innovation, digital transformation)-the organization (redundant resources, supply chain concentration, information transparency)-the environment (environmental governance pressure)", to achieve a green transformation.

Are economic policy uncertainty and carbon futures price interacting? Evidence from the European Union.

This paper investigates the dynamic interplay between economic policy uncertainty and the carbon futures market within the context of global low-carbon development. The study utilizes a comprehensive dataset spanning 2005 to 2023, including daily observations of economic policy uncertainty (EPU) and carbon future prices (EUAP) in the European Union. Bootstrap subsample rolling window Granger causality tests are employed to examine the interrelationship between EPU and EUAP, providing robust and time-varying causal insights.

Transition towards dual control of CO emissions and intensity through supply chain management in China.

To mitigate global climate change and achieve CO emissions reduction goals, China proposed to shift to dual control of total CO emissions (CE) and CO emissions intensity (CEI) as early as possible. Accurately assessing provincial sectoral CE and CEI and developing reasonable regulatory strategies is a prerequisite for achieving the goal of dual control. However, there is a lack of comprehensive analysis from different perspectives of the supply chain.

Prevalence and risk factors of work-related musculoskeletal disorders among emerging manufacturing workers in Beijing, China.

Objective: The workers in emerging manufacturing are at decreased risk of traditional occupational diseases, while probably at increased risk of work-related musculoskeletal disorders (WMSDs). This study aimed to investigate the prevalence and risk factors of WMSDs among emerging manufacturing workers in Beijing.

Methods: A total of 3,359 valid questionnaires were collected from 10 enterprises in the electronics, pharmaceutical, and motor manufacturing industries.

Dynamical modeling the effect of glucagon-like peptide on glucose-insulin regulatory system based on mice experimental observation.

As an emerging global epidemic, type 2 diabetes mellitus (T2DM) represents one of the leading causes of morbidity and mortality worldwide. Existing evidences demonstrated that glucagon-like peptide-1 (GLP-1) modulate the glucose regulatory system by enhancing the β-cell function. However, the detailed process of GLP-1 in glycaemic regulator for T2DM remains to be clarified.

Pathways for regions to achieve carbon emission peak: New insights from the four economic growth poles in China.

Regional synergy is critical to achieving High Quality Development (HQD) and reducing emissions in China. Economic growth poles (EGPS), namely Beijing-Tianjin-Hebei, the Yangtze River Delta, Guangdong-Hong Kong-Macao, and Cheng-Yu, are typical examples of regional synergy in China. It is critical to explore whether the pulling power of the EGPS to other regions can accelerate China's carbon peaking.

Preparation of polyvinyl alcohol/chitosan nanofibrous films incorporating graphene oxide and lanthanum chloride by electrospinning method for potential photothermal and chemical synergistic antibacterial applications in wound dressings.

Electrospun fibres have been widely used as skin dressings due to their unique structur. However, due to the lack of intrinsic antimicrobial activity, it is easy for the wound to become infected. Bacterial infection, which leads to chronic inflammation, severely hinders the normal process of skin regeneration.

Regional common prosperity level and its spatial relationship with carbon emission intensity in China.

The characteristics of common prosperity include harmonious relationships between humans and the environment, as well as sustainable economic and social growth. The process of achieving common prosperity will necessarily have an impact on carbon emissions. In this article, panel statistics collected from 30 Chinese provinces and cities between the years 2006 and 2020 are utilized to assess the level of common prosperity and the intensity of carbon emissions in China.

Green bonds and US shale gas prices: Evidence from a novel time-varying causality.

This paper provides a new perspective on the green bond market (measured by GBI) and the US shale gas price (measured by SGPI). The leading method for testing the mutual influence between GBI and SGPI, the bootstrap subsample rolling causality test, is a novel application of research in the green bond market. The results of the novel time-varying causality test indicate that SGPI has both positive and negative effects on GBI.

A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity.

A self-training algorithm is a classical semi-supervised learning algorithm that uses a small number of labeled samples and a large number of unlabeled samples to train a classifier. However, the existing self-training algorithms consider only the geometric distance between data while ignoring the data distribution when calculating the similarity between samples. In addition, misclassified samples can severely affect the performance of a self-training algorithm.

Association of seizures with COVID-19 infection in underage during the pandemic: A systematic review and meta-analysis.

Objective: Coronavirus disease 2019 (COVID-19) is a contagious infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has caused worldwide transmission. The aim of this systematic review and meta-analysis was to investigate the morbidity and characteristics of seizures after SARS-CoV-2 infection in underage (≤18 y) and to provide valuable reference material for subsequent clinical treatment.

Methods: PubMed/MEDLINE, Cochrane, and EMBASE databases were searched up to 10th May 2023.

Cognitive status and its risk factors in patients with hypertension and diabetes in a low-income rural area of China: A cross-sectional study.

Objectives: The proportion of older people with dementia in China is gradually increasing with the increase in the aging population over recent years. Hypertension and diabetes are common non-communicable diseases among rural populations in China. However, it remains unclear whether these conditions affect the occurrence and development of cognitive impairment as there is limited research on cognitive status and its risk factors among residents of rural areas.

Analysis of the coupled and coordinated development of sports and tourism industries and the driving factors.

The Yellow River Basin has a wealth of tourism resources, a long history of folk sports, and strong legislative support, all of which are advantages for the growth of the sports tourism sector. This study constructs an evaluation index system based on panel data from nine provinces and regions in the Yellow River Basin from 2011 to 2020, and then measures the development index and analyzes the driving factors using the entropy method, coupling coordination degree model, kernel density estimation method, and grey correlation analysis method. The findings demonstrate that (1) the Yellow River Basin's overall level of growth in the sports and tourist sectors exhibits a consistent and upward trend and that Shandong and Henan provinces clearly have an edge over other provinces in terms of development.

The global burden of lower respiratory infections attributable to respiratory syncytial virus in 204 countries and territories, 1990-2019: findings from the Global Burden of Disease Study 2019.

Aims: The purpose of this study is to investigate the global epidemiological characteristics of lower respiratory infections (LRI) burden attributable to respiratory syncytial virus (RSV) from 1990 to 2019.

Materials And Methods: We used the recent Global Burden of Disease Study (GBD) 2019 to systematically evaluate the current burden and temporal trend of LRI burden attributable to RSV by global, age, sex, geographic location, and socio-economic status.

Results: Globally, the disability-adjusted life years (DALYs) cases of LRI attributable to RSV dropped from an estimated 39,964,488 [95% uncertainty interval (UI): 16,825, 572 to 68,800,553] in 1990 to 14,956,514 (95%UI: 6,271,751 to 25,910,753) in 2019 and estimated death cases droped from 541,172 (95%UI:226,614 to 958,596) to 338,495 (95%UI:126,555 to 667,109) from1990 to 2019.

Predation has a significant impact on the complexity and stability of microbial food webs in subalpine lakes.

As an important part of microbial food webs, protists transfer organic carbon and nutrients to higher trophic levels in aquatic ecosystems. Protist predation often influences the abundance and composition of bacterial communities. However, we still do not understand whether and how predation affects the complexity and stability of microbial food webs.

Evaluating the resource curse hypothesis and the interplay of financial development, human development, and political stability in seven emerging economies.

The present study empirically confabulates the authenticity of the "resource curse hypothesis" in selected emerging nations. Furthermore, we also assessed the interconnections of three essential economic indicators with financial development, i.e.

Costs and health benefits of the rural energy transition to carbon neutrality in China.

The rural energy transition is critical in China's efforts to achieve carbon neutrality and improve air quality. However, the costs and health benefits associated with the transition to carbon neutrality remain unclear. Here we explore the cost-effective transition pathways and air quality-related health impacts using an integrated energy-air quality-health modeling framework.

Quantifying the contributions of natural and anthropogenic dust sources in Shanxi Province, northern China.

Dust storms have direct or indirect impacts on climate change and human health. Identifying and quantifying natural/anthropogenic dust sources can facilitate effective prevention and control of dust events. Based on surface real-time PM monitoring data, satellite remote sensing and the HYSPLIT model, this study determined the specific timing, coverage and sources of dust events in Shanxi Province, Northern China.

The impact of depth of environmental provisions and CO emissions embodied in international trade.

The construction of trade power and green low-carbon transformation are common high-quality development goals for countries worldwide. The depth of the environmental provisions contained in different countries' intercountry trade agreements and the implicit carbon data of intercountry trade are accurately measured based on the textual analysis of trade agreement rules, and it is empirically found that enhancing the depth of the environmental provisions contained in trade agreements can significantly reduce CO emissions embodied in international trade. The capacity of intercountry green technology cooperation to strengthen the internal environmental governance capacity of countries and to enhance carbon productivity is an important transmission mechanism.

An assessment of O-related health risks and economic losses in typical regions of China.

Introduction: As one of the key areas for air pollution prevention and control in China, the Fenwei Plain is experiencing serious near-surface O pollution, which is a key issue that needs to be solved urgently.

Methods: Based on pollutant concentration monitoring data and meteorological and health data over the same period, this study analyzed the temporal and spatial characteristics, the relationships with meteorological factors of O pollution, and the health effects and economic losses caused by exposure to O pollution using environmental health risk and environmental value assessment methods in 11 cities on the Fenwei Plain in China from 2014 to 2020.

Results: The results showed that O pollution has become increasingly serious on the Fenwei Plain in recent years.