Impact of a new case-based payment scheme on volume distribution across public hospitals in Zhejiang, China: does 'Same disease, same price' matter.

Background: With the implementation of the hierarchical medical system (HMS) in China, Zhejiang Province introduced an innovative payment scheme called "payment method by disease types with point counting". This scheme was initially adopted in Jinhua in July 2017, and was later integrated with the "same disease, same price" policy in Hangzhou in January 2020. This study aimed to investigate the impact of these reforms on the distribution of health service volume.

Hierarchical graph-based integration network for propaganda detection in textual news articles on social media.

During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based models, such as Graph Neural Networks (GNNs), have achieved notable success in Natural Language Processing (NLP). However, utilizing GNN-based models for propaganda detection remains challenging because of the challenges related to mining distinct word interactions and storing nonconsecutive and broad contextual data.

Identification of clinicopathological-specific driver gene and genetic subtyping of colorectal cancer.

This study analyzed targeted sequencing data from 6530 tissue samples from patients with metastatic Chinese colorectal cancer (CRC) to identify low mutation frequency and subgroup-specific driver genes, using three algorithms for overall CRC as well as across different clinicopathological subgroups. We analyzed 425 cancer-related genes, identifying 101 potential driver genes, including 36 novel to CRC. Notably, some genes demonstrated subgroup specificity; for instance, ERBB4 was found as a male-specific driver gene and mutations of ERBB4 only influenced the prognosis of male patients with CRC.

An optimized approach for container deployment driven by a two-stage load balancing mechanism.

Lightweight container technology has emerged as a fundamental component of cloud-native computing, with the deployment of containers and the balancing of loads on virtual machines representing significant challenges. This paper presents an optimization strategy for container deployment that consists of two stages: coarse-grained and fine-grained load balancing. In the initial stage, a greedy algorithm is employed for coarse-grained deployment, facilitating the distribution of container services across virtual machines in a balanced manner based on resource requests.

Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI.

Mass spectrometry imaging (MSI) provides valuable insights into metabolic heterogeneity by capturing in situ molecular profiles within organisms. One challenge of MSI heterogeneity analysis is performing an objective segmentation to differentiate the biological tissue into distinct regions with unique characteristics. However, current methods struggle due to the insufficient incorporation of biological context and high computational demand.

Recent Advances in Cellulose Nanofiber Modification and Characterization and Cellulose Nanofiber-Based Films for Eco-Friendly Active Food Packaging.

There is growing interest in the use of bio-based materials as viable alternatives to petrochemical-based packaging. However, the practical application of bio-based films is often hampered by their poor barrier and poor mechanical properties. In this context, cellulose nanofibers (CNFs) have attracted considerable attention owing to their exceptional biodegradability, high aspect ratio, and large surface area.

User Real Comments Incentive Mechanism Based on Blockchain in E-Commerce Transactions-A Tripartite Evolutionary Game Analysis.

In response to the widespread issue of fake comments on e-commerce platforms, this study aims to analyze and propose a blockchain-based solution to incentivize authentic user feedback and reduce the prevalence of fraudulent reviews. Specifically, this paper constructs a tripartite evolutionary game model between sellers, buyers, and e-commerce platforms to study the real comment mechanism of blockchain. The strategy evolution under different incentive factors is simulated using replication dynamic equation analysis and Matlab software simulation.

Lower limb joint reaction forces during sit-to-stand and stand-to-sit movements in stroke patients with spastic hemiplegia.

Objective: We investigated the characteristics of hip, knee, and ankle joint reaction forces (JRFs) in stroke patients with spastic hemiplegia during sit-to-stand (Si-St) and stand-to-sit (St-Si) movements and explored the relationship between JRFs and joint moments.

Methods: Thirteen stroke patients with spastic hemiplegia and thirteen age-matched healthy subjects were recruited in this study. Three-dimensional motion capture system and force plates were employed to collect kinematic data and ground reaction forces during Si-St and St-Si tasks.

Measurement and spatio-temporal evolution of high-quality industrial development level in China.

The scientific measurement of high-quality industries development (Abbreviated as HQID) level is crucial for promoting their advancement in China. This measurement holds significant importance in reducing regional differences in HQID among cities and fostering coordinated urban industry development. This study utilizes panel data encompassing 286 cities in China from 2003 to 2022.

Multilingual SEIR public opinion propagation model with social enhancement mechanism and cross transmission mechanisms.

The propagation of public opinion in multilingual environments presents unique challenges due to the diversity of languages, cultures, and values. This study develops an SEIR-based model tailored for multilingual contexts, incorporating mechanisms such as social enhancement, forgetting, and cross-transmission. The model's purpose is to improve transparency, inclusivity, and effectiveness in public opinion management, particularly in diverse linguistic settings.

Gender difference in the association between volunteering and health-related quality of life among hearing-impaired older adults in China.

Background: The present study aims to assess the relationship between volunteering and health-related quality of life (HRQoL) among older adults with hearing impairment, as well as the gender difference in this association.

Methods: We use data from the sixth Health Service Survey of Shandong Province, China. The survey interviewed 35,264 respondents, from which a total of 1,457 hearing-impaired older adults were included in the study.

Cost stickiness, absorbed slack and enterprise risks: Evidence from China.

This study delves into the complex domain of enterprise finance to explore the relationship between cost stickiness and enterprise risks, with a particular emphasis on the role of absorbed slack. Our analysis is based on a comprehensive examination of 3,177 Chinese listed enterprises over a period of ten years, from 2007 to 2022. The findings reveal that cost stickiness is a widespread phenomenon among Chinese listed enterprises, exhibiting variation across different industries.

Unveiling the mediating role of cultural trade and domestic identity in Chinese consumer engagement with foreign films and TV series.

The research adopts a comprehensive methodological framework to investigate the influence of foreign films and TV series on the behavior of Chinese consumers. Rooted in a thorough review of existing literature, the study implements questionnaire surveys to gather primary data from 786 meticulously selected respondents. Initial data analysis through descriptive methods is subsequently refined via Partial Least Squares Structural Equation Modeling to elucidate complex interrelationships among the variables under consideration.

From greenwashing to genuine sustainability: Insights from FinTech and banking executives in emerging market experience.

Greenwashing is the practice of deceiving stakeholders by making inflated or fraudulent promises about environmental responsibility. This study investigates greenwashing challenges in FinTech and banking industries, identifying effective strategies to foster genuine sustainability. The study employs a qualitative methodology, utilizing semi-structured interviews conducted with 12 respondents from the FinTech and banking sectors in Pakistan.

Adaptive expert fusion model for online wind power prediction.

Wind power prediction is a challenging task due to the high variability and uncertainty of wind generation and weather conditions. Accurate and timely wind power prediction is essential for optimal power system operation and planning. In this paper, we propose a novel Adaptive Expert Fusion Model (EFM+) for online wind power prediction.

Global, Regional, and National Burden of Valvular Heart Disease, 1990 to 2021.

Background: Valvular heart disease poses an escalating global health challenge with an increasing impact on mortality and disability. This study aims to comprehensively analyze the global burden of valvular heart disease.

Methods And Results: Using the Global Burden of Disease 2021 data, we analyzed the prevalence and disability-adjusted life years, examining implications across demographics and geographic regions.

Characterization of the complete genome of a novel allexivirus infecting Sauropus androgynus in China.

A new virus was found in Sauropus androgynus plants with curled and yellow leaves in China and tentatively named "Sauropus androgynus virus" (SaV). The complete genome of SaV is an 8007-nucleotide-long (+)RNA, excluding the 3'-poly(A) tail, and contains five open reading frames. Both pairwise comparisons and phylogenetic analysis of the putative replicase and coat proteins showed that SaV has a high level of sequence similarity to members of the genus Allexivirus of the family Alphaflexiviridae.

Relationship between participation in leisure activities and the maintenance of successful aging in older Chinese adults: a 4-year longitudinal study.

Background: It is critical to age successfully for general health considering the aging of the global population. Successful aging is an important indicator to assess whether older individuals are experiencing a healthy life and high-quality aging. This study aimed to explore the longitudinal relationship between the frequency and number of participation in leisure activities and the maintenance of successful aging.

Economic burden of hepatitis B patients and its influencing factors in China: a systematic review.

Background & Aim: Hepatitis B is globally recognized as a major public health problem that imposes a huge economic burden on society. China is a major country with hepatitis B infection; however, an updated overview of the economic burden of hepatitis B and related diseases in China has not been provided. This study aimed to provide a comprehensive understanding of the economic burden and factors influencing hepatitis B and related diseases by synthesizing the available evidence, with the aim of informing clinical treatment and health decisions.

Neural correlates of empathy in donation decisions: Insights from EEG and machine learning.

Empathy is central to individual and societal well-being. Numerous studies have examined how trait of empathy affects prosocial behavior. However, little studies explored the psychological and neural mechanisms by which different dimensions of trait empathy influence prosocial behavior.