Evaluating Megacity Resilience to Pandemics: The Case of China.

Megacities' inherent complexity and dense populations heighten vulnerability to health crises, necessitating pandemic resilience research. This study pioneers a tailored resilience assessment framework for pandemic-facing megacities, building upon a refined Tyler and Moench urban resilience model. Applying grey correlation-technique for order preference by similarity to ideal solution (TOPSIS) methodology and barrier diagnosis modeling, we evaluated eight Chinese megacities.

Construction and application of a mortality risk prediction model for patients with lung squamous cell carcinoma: A competing risk analysis.

Background: Lung squamous cell carcinoma (LUSC) is the dominant histological subtype of lung cancer, accounting for 30% of all cases. Most patients develop distant metastases by the time they are diagnosed with the disease, owing to a delay in the appearance of symptoms. Therefore, accurate prognostic prediction is essential for personalized treatment.

Decoding population PM exposure in China: interplay of emissions, meteorology, and inequality (2013-2020).

Over the past decade, China has significantly improved air quality by integrating environmental policies with economic growth. Yet, environmental inequality remains a major challenge to social equity and sustainable development. This study examines the socioeconomic impacts of PM exposure using population data from 1,317 county towns across 32 provinces (2013-2020), employing meteorological normalization and population-weighted exposure indices.

MANet: multi-attention network for polyp segmentation.

Currently, colonoscopy stands as the most efficient approach for detecting colorectal polyps. In clinical diagnosis, colorectal cancer is closely related to colorectal polyps. Therefore, precise segmentation of polyps holds paramount importance for the early detection and clinical diagnosis of colorectal cancer.

Synergistic effects of PM components and ozone exposure on lung function in young adults: A cohort study in Shandong, China.

Exposure to fine particulate matter (PM) components and ozone (O) is associated with reduced lung function. This study aimed to examine the interaction effects of PM components and O on lung function in young adults. A cohort study involving 1697 participants was conducted in Shandong Province, China from September 2019 to November 2020.

Identifying clique influences in hypergraphs via the simplicial complex with applications in scientific collaborations.

Due to their ability to express higher-order structures, hypergraphs are becoming a central topic in network analysis. In this paper, we propose a parameter-free clique centrality index for all the hypergraphs, including hypergraphs involving singleton hyperedges and disconnected hypergraphs. We construct a hereditary class by introducing the null simplex into the simplicial complex of a hypergraph.

Siamese meta-learning network for social disputes based on multi-head attention.

Few-shot learning has been widely used in scenarios where labeled data is scarce, where meta-learning based few-shot classification is widely used, such as the Siamese network. Although the Siamese network has achieved good results in some applications, there are still some problems: (1) When computing prototype vectors with external knowledge of class labels, it depends on the quality and correctness of class labels. (2) When processing data, the Siamese network is not sufficient to capture dependencies between long distance.

From caregiving burden to income transformation: intergenerational employment effects of long-term care insurance.

Background: Long-term care insurance (LTCI) has been introduced in China to address the challenges posed by an aging population. This study examines its impact on the income of older adult households, using data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020. The analysis further explores heterogeneity and implications for income inequality.

TD-HCN: A trend-driven hypergraph convolutional network for stock return prediction.

Stock data analysis has become one of the most challenging tasks in time series data analysis due to its dynamism, complexity, and nonlinearity. Recently, relational graphs have become popular for describing certain important relationships in data, particularly by mapping indirect and direct relationships between stocks into non-Euclidean spaces. Existing graph-based methods mainly capture simple pairwise and static relationships between stocks, so they cannot effectively identify higher-order relationships and characterize the dynamic trends of stock relationships.

Living arrangements and lonely life expectancy: a multistate life table based on Markov chains.

Background: The evolution of family structures in China has led to changes in the living arrangements of older adults, resulting in an increasing prevalence of individuals living alone. This shift has raised concerns about the impact on the well-being of older adults, particularly in relation to loneliness. The objective of this study is to examine the association between living alone and lonely life expectancy (LLE) among older adults, with particular attention to gender differences.

The Spillover Effect of Online Medical Consultation Services on Offline Physician-Patient Relationship: Patient Perspective.

Online medical consultation services (OMCS) in China always receive high ratings, while offline medical services receive many complaints. The COVID-19 pandemic has strengthened the connection between online and offline medical services in China, but the important question whether the online-offline connection can bring benefits for offline medical services is rarely studied. From a patient perspective, this study explores the impact mechanism of OMCS on the offline physician-patient relationship, attempting to enhance the spillover effect of OMCS on offline medical services and promote communication between physicians and patients.

Can new consumption promote urban industrial resilience? Empirical evidence from pilot cities of information consumption.

The rapid advancement of digital technology and its widespread application have led to digitalization, personalization, and customization in the demand side of China's economy. Enhancing industrial resilience through new types of consumption is of great practical significance for expanding domestic demand and promoting high-quality, sustainable economic growth in China. This study examines the impact of the Information Consumption Pilot City (ICPC) policy as a quasi-natural experiment on urban industrial resilience, employing the difference-in-difference (DID) method for empirical analysis.

Management compliance attention, social performance and pay gap: Evidence from China.

The pronounced pay gap prevalent in companies has raised critical concerns regarding organizational equity. This study investigates mechanisms to mitigate pay gap through the lens of management compliance attention, with the dual objectives of enhancing intra-firm distributive justice and fostering sustainable organizational development. Furthermore, this study employs a comprehensive methodology, including textual analysis of annual reports to construct management compliance attention variables and the Chinese Huazheng ESG rating system to measure social performance.

Financial market regulation and corporate social responsibility: Evidence from China's new asset management regulation.

This study explores how the financial market environment reshapes corporate social responsibility using a quasi-natural experiment provided by China's New Asset Management Regulation. Our research focuses on the adaptive strategies of non-financial firms in response to stringent financial market regulation, and we use a generalized DID model to identify the causal link between the NAMR and CSR. The findings reveal a decline in non-financial firms' CSR performance following the more stringent financial market regulation.

Corporate ESG performance and green innovation: moderating effect of shareholder activism.

Environmental, social, and governance (ESG) performance are gaining momentum to corporate sustainable development. Based on non-financial listed enterprises in China from 2013 to 2023, this paper empirically analyzes the impact of ESG performance on green innovation and shareholder activism's moderating role. We find that ESG performance effectively promotes corporate green innovation.

PDC-MAKES: a conditional screening method for controlling false discoveries in high-dimensional multi-response setting.

The coexistences of high dimensionality and strong correlation in both responses and predictors pose unprecedented challenges in identifying important predictors. In this paper, we propose a model-free conditional feature screening method with false discovery rate (FDR) control for ultrahigh-dimensional multi-response setting. The proposed method is built upon partial distance correlation, which measures the dependence between two random vectors while controlling effect for a multivariate random vector.

Spatial evolution and resilience analysis of marine eco-environmental protection enterprises.

Marine eco-environmental protection enterprises are an important part of protecting marine ecology and promoting the development of marine economy. Based on the data of marine eco-environmental protection enterprises in eleven coastal provinces (municipalities) of China from 2000 to 2022, combined with the marine eco-environmental protection regulations, this paper analyzes the evolution process of the concentrated field and spatial distribution of marine eco-environmental protection enterprises. Then, from the perspective of network connectivity, four marine eco-environmental protection networks are constructed with the services provided by enterprises as nodes.

Research on rumor and anti rumor propagation models based on quantum superposition states.

Building an effective rumor propagation model is the key to blocking rumor propagation. This article is based on the quantum superposition theory, analyzing the propagation decision of unknown individuals from the perspectives of consciousness and behavior, determining their time-varying propagation state, characterizing the propagation process of online rumors, and constructing a rumor propagation model to solve the basic reproduction number. It analyzes the local stability of equilibrium points without rumor propagation and equilibrium points with rumor propagation.

Measurement, source decomposition, and formation mechanism of differences in the development of China's health services.

In China, the issue of unbalanced development is rather prominent. This paper conducts research on the differences in China's health service development, aiming to provide references for promoting health equity through the equalization of health services. A series of quantitative methods are applied in this study, including the two-stage entropy method, spatial kernel density estimation, Theil index, variance decomposition method, and quadratic assignment procedure (QAP).

Technological functionality and system architecture of mobile health interventions for diabetes management: a systematic review and meta-analysis of randomized controlled trials.

Introduction: Despite advancements in digital health, systematic evaluations of mobile applications (Apps) for diabetes management are limited.

Methods: Researchers conducted searches on PUBMED, EMBASE, COCHRANE, SCOPUS, and WEB OF SCIENCE from inception to August 2024. The researchers included randomized controlled trials (RCTs) that investigated the effectiveness of app-based interventions in health management among diabetic patients.

Encourage or inhibit: A study on the impact of corporate digital transformation on management's tone manipulation of information disclosure.

Digitalization is anticipated to substantially improve information transparency and enhance the capital market's information environment. However, during the initial phase of digital transformation, companies face challenges in achieving high-quality information disclosure. This is because digital technology implementation and organizational adjustment are still at early stages.

Does gambling preference level affect occupational fraud behavior?-Evidence from a survey study in China.

Occupational fraud presents significant economic challenges globally. This study aims to understand the factors contributing to such fraudulent behavior and to develop strategies to mitigate it, focusing on the relationship between gambling preferences and occupational fraud within the framework of the fraud triangle theory, emphasizing the 'pressure' element. To explore this relationship, the research employed several methods, including reliability and validity tests, correlation analysis, and regression analysis, to strengthen the survey research.

The panel threshold analysis of digitalization on manufacturing industry's green total factor productivity.

Green and sustainable development of manufacturing industry has become the developing trend, and green total factor productivity is an important indicator for measuring the green growth of the manufacturing industry. The rapid development of digitalization provides new opportunities for the improvement of manufacturing industry's green total factor productivity (IGTFP). However, there exists two different perspectives of "digital promotion effect" and "digital inhibition effect" presently, which causes "digital paradox".

DAU-Net: a novel U-Net with dual attention for retinal vessel segmentation.

In fundus images, precisely segmenting retinal blood vessels is important for diagnosing eye-related conditions, such as diabetic retinopathy and hypertensive retinopathy or other eye-related disorders. In this work, we propose an enhanced U-shaped network with dual-attention, named DAU-Net, divided into encoder and decoder parts. Wherein, we replace the traditional convolutional layers with ConvNeXt Block and SnakeConv Block to strengthen its recognition ability for different forms of blood vessels while lightweight the model.