The effect of service outsourcing on labor income share: Measuring labor income share from the global value chains perspective.

Inspired by the positive impact of service outsourcing in Chery and other enterprises on human resources, this paper explores the impact of service outsourcing on labor income share. This paper introduces a framework to analyze how value added is distributed between capital and labor along the mix of inputs from different countries and sectors participating in global value chains and examines the effect of service outsourcing on the labor share income. Using the World Input-Output Database (WIOD) and OECD Inter-Country Input-Output (OECD- ICIO) table, this paper utilizes the WWZ decomposition method of global value chains (GVCs) to quantify labor share income.

International operations and corporate R&D investment: Evidence from China.

This paper presents an examination of the relationship between international operations and corporate R&D investment. Using a large sample of Chinese listed firms for the 2009-2022 period and the ordinary least squares method, we find that international operations have a positive effect on corporate R&D investment. The finding remains valid after a battery of robustness tests.

The ventromedial prefrontal cortex plays an important role in implicit emotion regulation: A focality-optimized multichannel tDCS study in anxiety individuals.

The regulation of emotions is a crucial facet of well-being and social adaptability, with explicit strategies receiving primary attention in prior research. Recent studies, however, emphasize the role of implicit emotion regulation, particularly implicating the ventromedial prefrontal cortex (VMPFC) in association with its implementation. This study delves into the nuanced role of the VMPFC through focality-optimized multichannel transcranial direct current stimulation (tDCS), shedding light on its causal involvement in implicit reappraisal.

High-Dimensional Overdispersed Generalized Factor Model With Application to Single-Cell Sequencing Data Analysis.

The current high-dimensional linear factor models fail to account for the different types of variables, while high-dimensional nonlinear factor models often overlook the overdispersion present in mixed-type data. However, overdispersion is prevalent in practical applications, particularly in fields like biomedical and genomics studies. To address this practical demand, we propose an overdispersed generalized factor model (OverGFM) for performing high-dimensional nonlinear factor analysis on overdispersed mixed-type data.

Altered cingulate gyrus subregions functional connectivity in chronic insomnia disorder with anxiety.

Background: Chronic insomnia disorder (CID) is commonly associated with mood disorders. The cingulate gyrus (CG) plays a critical role in the pathophysiology of CID and anxiety. However, the specific characteristics of altered brain networks in the CG in CID with anxiety remain unclear.

The Relationship Between Loneliness and the Overuse of WeChat Among Chinese Elderly: The Chain Mediation Role of Sensation Seeking and Fear of Missing Out.

Background: With the advent of new media technology, WeChat, as China's largest social networking platform, has significantly impacted people's lives. Growing concerns exist about social media usage, particularly regarding mental health issues stemming from problematic smartphone use. However, limited research has explored the relationship between social media usage and mental health among older adults in China, particularly the mechanisms influencing this relationship.

Statistical Inferences for Complex Dependence of Multimodal Imaging Data.

Statistical analysis of multimodal imaging data is a challenging task, since the data involves high-dimensionality, strong spatial correlations and complex data structures. In this paper, we propose rigorous statistical testing procedures for making inferences on the complex dependence of multimodal imaging data. Motivated by the analysis of multitask fMRI data in the Human Connectome Project (HCP) study, we particularly address three hypothesis testing problems: (a) testing independence among imaging modalities over brain regions, (b) testing independence between brain regions within imaging modalities, and (c) testing independence between brain regions across different modalities.

Efforts made, challenges faced, and recommendations provided by stakeholders involved in mpox prevention and control in China: a qualitative study.

Objectives: Mpox continues to spread in China, and stakeholders' experiences may help inform prevention and control strategies.

Study Design: Qualitative study.

Methods: A qualitative study across 14 Chinese cities recruited stakeholders from Centers for Disease Control and Prevention (CDCs), community-based organizations (CBOs), and hospitals involved in curbing mpox.

Coupling coordination between digital village construction and agricultural carbon emissions in China.

Exploring the coupling coordination degree (CCD) between digital village construction (DVC) and agricultural carbon emissions (ACE) is crucial for promoting village revitalization and sustainable agricultural development. Analyzing data from 30 provinces in China in 2011-2020, this paper employs the CCD model, the Dagum Gini coefficient, and the geographic detector for in-depth analysis. The results show that the overall level of CCD gradually increases over time, but the national CCD still remains in a state of "low coordination," and there are apparent spatial differences in the CCD among provinces.

Trends of electronic cigarette use among adolescents: A bibliometric analysis.

Introduction: The use rate of electronic cigarettes (e-cigarettes) among adolescents is continuously rising globally, posing new challenges to public health and negatively impacting adolescent health. This study employs bibliometric methods to systematically present the current state and evolving trends in global research on adolescent e-cigarette use.

Methods: This study uses CiteSpace to conduct a bibliometric analysis of articles related to adolescent e-cigarette use from the Web of Science (WoS) Core Collection database.

Recent CO emission and projections in Chinese provinces: New drivers and ensemble forecasting.

Although extensive studies focused on the driver of changing CO emission, the roles of labor and capital were largely ignored in shaping spatiotemporal change in CO emission and forecasting differences on CO emission was few considered, hindering relevant policymaking towards sustainable development in both climate change mitigation and economic growth for developing countries in particular. To fill the gap above, the study explored the roles of capital and labor in contributing to recent CO emission in a case of China over 2010-2019 and projecting provincial CO emissions to 2030, by proposing two new spatiotemporal logarithmic mean Divisia index models with Cobb-Douglas production function and developing an ensemble forecasting model including machine learning. We found, first, the effects of capital and labor inputs and carbon factor were the positive drivers affecting aggregate CO emissions, while the effects of the total-factor productivity and energy intensity were negative drivers.

Career adaptability and career coping styles among Chinese medicine specialty students during the COVID-19: The mediating role of career decision-making self-efficacy.

Over the past decade, the attrition rate of Chinese medical graduates has remained high, and the COVID-19 pandemic has exacerbated this situation. Medicine specialty students are the main force of the future healthcare industry. The career choices and career confidence of those entering the healthcare industry will have a huge influence on the quality of future healthcare provision.

Gender differences in sleep behaviors under China's universal two-child policy.

Since 2016, China has progressively relaxed family planning policies to stimulate birth rates. This paper examines the behavioral health repercussions of China's 2016 universal two-child policy (UTCP) by analyzing sleep pattern data from China Family Panel Studies. Napping is a composite indicator that denotes health outcomes, job quality, and personal well-being.

Assessment of the competency of learner-centered teaching of clinical preceptor using the augmented Stanford Faculty Development Program Questionnaire (SFDPQ): a cross sectional comparative study.

Background: Education is an important part of the work of most doctors. Clinical preceptors act as role models and supervisors. Preceptors' quality of supervision strongly influences the learning quality of clinical interns (Bartlett et al.

The impact of common language on international trade: Evidence from Korean language.

This study investigates the impact of a minority language on international trade. Using the distance to Hunchun as an instrumental variable, and transaction-level customs data from 2000 to 2015, we investigate the causal impact of common Korean language on international trade between Chinese counties and South/North Korea. The results suggest that a 1% increase in the proportion of population speaking Korean will increase value share and transactions share in trade by 1.

A quick comparison model on optimizing the efficiency of photovoltaic panels in collecting solar radiation.

Few scholars study light efficiency of solar-cell arrays in theory, while it is difficult to experimentally determine the maximum capacity of a photovoltaic panel to collect solar radiation. This paper proposes a solar energy comparison model (SECM), considering the sunshine duration changes every day to optimize the solar radiation collection model in an ideal state for a whole year, which is easy to use, and can quickly obtain the optimal tilt angle of photovoltaic panels and the solar radiation collecting efficiency enhancement of intelligent light tracking photovoltaic panels. The results show that the sunshine duration is an important factor affecting the solar radiation received by photovoltaic panels.

The impact of economic growth targets on the level of green development-A perspective on officials' promotion incentives and environmental regulations.

Currently, China is at a critical stage of accelerating the green transformation of its economic development model, with considerable attention being paid to achieving this transformation while maintaining moderate economic growth. This study uses 271 prefecture-level cities in China from 2006 to 2020 to examine the impact of local government economic growth target constraints on the level of green economic development and to elucidate the underlying mechanisms. The results show that economic growth targets significantly inhibit the level of urban green development, with this effect being more pronounced in the economically developed eastern regions of China.

Period-aggregated transformer for learning latent seasonalities in long-horizon financial time series.

Fluctuations in the financial market are influenced by various driving forces and numerous factors. Traditional financial research aims to identify the factors influencing stock prices, and existing works construct a common neural network learning framework that learns temporal dependency using a fixed time window of historical information, such as RNN and LSTM models. However, these models only consider the short-term and point-to-point relationships within stock series.

Study on the impact of digital economy on industrial collaborative agglomeration: Evidence from manufacturing and productive service industries.

In the digital era, digital economy has a far-reaching impact on the collaborative agglomeration of manufacturing and service industries. This research aims to examine the economic relationship between digital economy and industrial collaborative agglomeration. Based on a panel data set of 286 Chinese cities, this research employs Tobit model, moderating effect model, and mediating effect model to conduct data analysis.

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.

The hidden costs of inflation: A critical analysis of industrial development and environmental consequences.

The study draws attention to the associations between monetary and economic elements and their potential environmental impacts. The study uses time series data from 1960 to 2022 to examine the connection between CO2 emissions, industrial growth, GNE, and inflation in China. The researchers utilized the well-known econometric technique of nonlinear autoregressive distributed lag (NARDL) to examine nonlinear correlations between these variables.

Public Heterogeneous Preferences for Low-Dose Computed Tomography Lung Cancer Screening Service Delivery in Western China: A Discrete Choice Experiment.

Background: Lung cancer screening (LCS) with low-dose computed tomography (LDCT) is an efficient method that can reduce lung cancer mortality in high-risk individuals. However, few studies have attempted to measure the preferences for LDCT LCS service delivery. This study aimed to generate quantitative information on the Chinese population's preferences for LDCT LCS service delivery.

Clinico-sero-pathological profiles and risk prediction model of idiopathic inflammatory myopathy (IIM) patients with different perifascicular changes.

Aims: To explore the clinico-sero-pathological characteristics and risk prediction model of idiopathic inflammatory myopathy (IIM) patients with different muscular perifascicular (PF) changes.

Methods: IIM patients in our center were enrolled and the clinico-sero-pathological data were retrospectively analyzed. A decision tree model was established through machine learning.

Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis.

Background: The integration of telehealth-supported programs in chronic disease management has become increasingly common. However, its effectiveness for individuals with knee osteoarthritis (KOA) remains unclear.

Objective: This study aimed to assess the effectiveness of telehealth-supported exercise or physical activity programs for individuals with KOA.