Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior.

The recent U.S. Food and Drug Administration guidance on complex innovative trial designs acknowledges the use of Bayesian strategies to incorporate historical information based on clinical expertise and data similarity.

Exploring the relationship between physical activity and Inhibitory Function in College Students with depressive symptoms through EEG.

This study aims to examine the relationship between physical activity and inhibitory function in college students with depressive symptoms and to explore the role of resting EEG as a mediator in this relationship. Specifically, it analyzes how physical activity correlates with inhibitory function and identifies potential routes through which physical activity impacts inhibitory function. A cross-sectional study was conducted involving 154 college students with depressive symptoms.

Long-term wage inequality in imperial China: From 202 BCE to 1912 CE.

This paper attempts to describe and explain the long-term evolution of wage inequality in imperial China, covering over two millennia from the Han dynasty to the Qing dynasty (202 BCE-1912 CE). Based on historical government records of official salaries, commodity prices, and agricultural productivity, we convert various forms of salaries to equivalent rice volumes and comparable salary benchmarks. Wage inequality is measured by salary ratios and (partial) Gini coefficients between official and peasant classes as well as within the official class.

The window of opportunity: Estimating the role of climate finance on urban-rural electricity inequality.

Access to electricity is vital for enhancing human welfare; however, it is not equally distributed between rural and urban demographics. This paper, for the first time, examine the impact of climate finance on electricity accessibility, and the inequality of electricity accessibility between urban and rural areas. Based on the dataset covering 125 countries during 2002-2020, and by using the instrumental Variables-Generalized Method of Moments model, we mainly arrive at the following conclusions.

Unveiling Schizophrenia: a study with generalized functional linear mixed model via the investigation of functional random effects.

Previous studies have identified attenuated pre-speech activity and speech sound suppression in individuals with Schizophrenia, with similar patterns observed in basic tasks entailing button-pressing to perceive a tone. However, it remains unclear whether these patterns are uniform across individuals or vary from person to person. Motivated by electroencephalographic (EEG) data from a Schizophrenia study, we develop a generalized functional linear mixed model (GFLMM) for repeated measurements by incorporating subject-specific functional random effects associated with multiple functional predictors.

Adding to the Woes: Heterogeneous Effects of Air Pollution on Pandemic Patients.

While the direct health impacts of air pollution are widely discussed, its indirect effects, particularly during pandemics, are less explored. Utilizing detailed individual-level data from all designated hospitals in Wuhan during the initial COVID-19 outbreak, we examine the impact of air pollution exposure on treatment costs and health outcomes for COVID-19 patients. Our findings reveal that patients exposed more intensively to air pollution, identified by their residence in downwind areas of high-polluting enterprises, not only had worsened health outcomes but also consumed more medical resources.

Factors Associated With Digital Capacity for Health Promotion Among Primary Care Workers: Cross-Sectional Survey Study.

Background: Health education and promotion are recognized as effective strategies for fostering healthy ageing, reducing the disease burden, and addressing health inequalities, particularly when delivered through digital media. Primary care workers are often regarded as the key providers of these interventions. Despite the strong practical significance and substantial individual demand, the use of digital media for delivering health promotion practices was not widespread in China.

The current status, relevance and impact of the sense of gain and social participation among Chinese youth: A study based on the CSS2021 database.

Youth symbolize the future and promise of the country. The contributions of youth are integral to the comprehensive development, the social participation of youth is crucial for their holistic development and the betterment of society. As the people's sense of gain has evolved into a fundamental aspect of high-quality development in the new era of China, investigating the influence mechanism of the youth's sense of gain on social participation holds significant historical and practical relevance.

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.

Itemized point cost method in human resource cost accounting in medical service projects.

Background: The cost accounting of medical service projects forms the basis for disease cost accounting and DRG (Diagnosis-Related Groups) cost accounting. Among the various costs involved, human resources represent a significant portion and are highly complex, making their accurate accounting a critical and challenging aspect of cost accounting for medical service projects.

Methods: This paper introduces the itemized point cost (IPC) method, a novel cost accounting approach based on the RBRVS (Resource-Based Relative Value Scale) theory.

Enrichment of antioxidant peptides by interfacial modification of oat polypeptides induced by zinc ions.

The pursuit of methods to enhance the purity of food-sourced bioactive peptides continues to pose significant challenges. This study introduces an innovative approach to enrich antioxidant peptides by using zinc ion coordination to augment the foaming capabilities of oat peptides. The resulting antioxidant peptide fraction (AF) accounted for 18 % of the oat globulin hydrolysates, with a significant increase (22-47 %) in scavenging activity against 2,2-diphenyl-1-picrylhydrazyl (DPPH), OH, and O radicals.

A demonstration of superior judgement? Exploring league of legends players' performance in risky and ambiguous decision-making tasks.

In three studies, we investigated how League of Legends (LOL) game experience and game skill relate to players' performance in the Iowa Gambling Task (IGT), Balloon Analogue Risk Task (BART), and Probability Discounting Task (PDT). Additionally, the present study examined the relationship between players' in-game risk preferences and their performance in three types of decision-making tasks. To achieve this, we utilized a self-developed League of Legends Risk Propensity Scale (LRPS) to characterize LOL players' in-game risk preferences.

Unethical Pro-Organizational Behavior and Unethical Pro-Family Behavior: The Roles of Work-to-Family Conflict and Work-Home Segmentation Preference.

Unethical pro-organizational behavior has attracted widespread attention from practitioners and scholars. Although most previous studies have explored its antecedents, less is known about its consequences. The study focuses on analyzing and testing the mechanism and boundary conditions of the influence of employees' unethical pro-organizational behavior on unethical pro-family behavior.

Integrating clinical data and genetic susceptibility to elucidate the relationship between systemic lupus erythematosus and human cytomegalovirus infection.

Background: Viral infections are known to induce the occurrence and pathogenesis of systemic lupus erythematosus (SLE). Previous studies have indicated a possible relationship between SLE and human cytomegalovirus (HCMV) infection and have attributed HCMV to be associated with various autoantibodies; however, these studies were constrained by variations in sample size and potential selection bias. Therefore, in the present study, we aimed to elucidate the relationship between HCMV and autoantibodies in patients with SLE by integrating clinical data and genetic susceptibility.

Research on ESG performance and OFDI willingness: Based on the fusion of financing constraints and productivity threshold.

This paper constructs a theoretical model on how ESG performance affects enterprise's Outward Foreign Direct Investment (OFDI) intention from the perspective of integrating financing constraints and productivity thresholds, and uses data from Chinese A-share listed companies for empirical testing. The findings indicate a positive correlation between ESG performance and the willingness of corporations to OFDI. Furthermore, the heterogeneity analysis reveals that the impact of ESG performance on OFDI is more significant for enterprises with a high degree of digital transformation, containing foreign equity, operating in industries.

Construction of 2022 Qatar World Cup match result prediction model and analysis of performance indicators.

This research investigates the influence of performance metrics on match outcomes and constructs a predictive model using data from the Qatar World Cup. Employing magnitude-based decision and an array of machine learning algorithms, such as Decision Trees, Logistic Regression, Support Vector Machines, AdaBoost, Random Forests, and Artificial Neural Network, we examined data from 59 matches, excluding extra time. Fourteen performance indicators were integrated into the model, with two types of match outcomes-winning and non-winning-serving as the output variables.

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.

Exploring barriers and ethical challenges to medical data sharing: perspectives from Chinese researchers.

Background: The impetus for policies promoting medical data sharing in China has gained significant traction. Nonetheless, the present legal and ethical framework governing the research use of medical data in China, is characterized by a more restrictive rather than permissive approach. The proportion of Chinese medical data being leveraged for scientific research still has room for improvement at present, indicating a significant untapped potential for advancing medical knowledge and improving healthcare outcomes.

FLCMC: Federated Learning Approach for Chinese Medicinal Text Classification.

Addressing the privacy protection and data sharing issues in Chinese medical texts, this paper introduces a federated learning approach named FLCMC for Chinese medical text classification. The paper first discusses the data heterogeneity issue in federated language modeling. Then, it proposes two perturbed federated learning algorithms, FedPA and FedPAP, based on the self-attention mechanism.

Regulation of colon injury and improvement of exercise performance in exhausted running mice by CQZC02.

In this study, strenuous forced exercise caused intestinal damage and reduced the exercise capacity of mice. However, the antioxidant and anti-inflammatory properties of CQZC02 (LPCQZC02) were found to improve both the intestinal barrier and exercise function in mice. The effectiveness of LPCQZC02 was confirmed through various methods, including kit detection, pathological observation, quantitative reverse transcription polymerase chain reaction (qRT-PCR), and intestinal flora analysis.

Weighted Expectile Regression Neural Networks for Right Censored Data.

As a favorable alternative to the censored quantile regression, censored expectile regression has been popular in survival analysis due to its flexibility in modeling the heterogeneous effect of covariates. The existing weighted expectile regression (WER) method assumes that the censoring variable and covariates are independent, and that the covariates effects has a global linear structure. However, these two assumptions are too restrictive to capture the complex and nonlinear pattern of the underlying covariates effects.

Skeletal muscle-derived exosomes prevent osteoporosis by promoting osteogenesis.

Skeletal muscle and bone are the major organs for physical activity, in which there is a parallel correlation between muscle mass and bone density throughout a lifetime. Osteoporosis is a systemic bone metabolic disorder caused by reduced bone formation and increased bone resorption. Based on the metabolic symbiosis relationship between skeletal muscle and bone, we hypothesis that skeletal muscle secretory factors could play constructive roles in osteoporosis.