Economic policy uncertainty and corporate innovation-empirical evidence from Chinese pharmaceutical listed companies.

Introduction: Under the background that economic policy uncertainty tends to be normal, the innovation behavior of enterprises can cope with the cost impact brought by economic policy uncertainty.

Methods: Based on the relevant data of China's A-share pharmaceutical listed companies from 2015 to 2022, this paper empirically studied the relationship between economic policy uncertainty and firm innovation by using fixed-effect model, intermediary model, instrumental variable method and two-step method, and investigated the mechanism effects of financialization, executive compensation and government subsidies.

Conclusion: Economic policy uncertainty significantly increases the innovation intensity of enterprises.

High school students' social media use predicts school engagement and burnout: the moderating role of social media self-control.

Students' social media use has quickly gained attention given the effect of considerable time spent on and widespread usage of social media on their development and success. The study aimed to examine whether high school students' social media use predicts more school engagement and less burnout for those who were more successful in controlling their social media use in goal-conflict situations. A sample of 107 Chinese high school students (  = 19.

Examining sustainable hospitality practices and employee turnover in Pakistan: The interplay of robotics awareness, mutual trust, and technical skills development in the age of artificial intelligence.

Integrating robots and artificial intelligence (AI) into workplaces is becoming increasingly prevalent across various sectors, including hospitality. This trend has raised concerns regarding employee anxiety and the potential for higher turnover intentions, particularly when AI technologies are perceived to undermine professional expertise. This study explores the relationship between awareness of robotics and AI and employee turnover intentions, framed within the Conservation of Resources Theory (COR).

Addressing evidence needs during health crises in the province of Quebec (Canada): a proposed action plan for rapid evidence synthesis.

Background: The COVID-19 pandemic necessitated the rapid availability of evidence to respond in a timely manner to the needs of practice settings and decision-makers in health and social services. Now that the pandemic is over, it is time to put in place actions to improve the capacity of systems to meet knowledge needs in a situation of crisis. The main objective of this project was thus to develop an action plan for the rapid syntheses of evidence in times of health crisis in Quebec (Canada).

Exploring the spatial patterns and influencing factors of rural tourism development in Hainan Province of China.

Hainan Province is a major domestic tourism destination in China, with rural tourism playing a key role in its development. This study analyzes the spatial distribution of 154 rural tourism sites across Hainan, examining regional balance, hotspots, and influencing factors such as transportation infrastructure, economic conditions, and A-level tourist attractions. Results show a clear spatial clustering of sites, with a strong concentration in the east and more dispersed patterns in the west.

Spatial-temporal characteristics and drivers of urban built-up areas land low-carbon efficiency in China.

Understanding the evolution of low-carbon efficiency in urban built-up areas is essential for developing countries striving to meet sustainable development goals. However, the mechanisms driving low-carbon efficiency and the associated development pathways remain underexplored. This study applies the Global Data Envelopment Analysis (DEA) model, the Global Malmquist-Luenberger Index, and econometric models to evaluate low-carbon efficiency and its determinants across China's urban built-up areas from 2010 to 2022.

Evaluating crash severity at highway-rail grade crossings using an analytic hierarchy process-based hazard index model.

Due to the substantial mass disparity between trains and highway vehicles, crashes at Highway-Rail Grade Crossings (HRGCs) are often severe. Therefore, it is essential to develop systematic frameworks for allocating federal and state funds to improve safety at the highest-risk grade crossings. Common techniques for hazard prioritization at HRGCs include the hazard index and the collision prediction formula.

The influence of red and blue font color on intertemporal choice: the mediating roles of time perception and dimensional difference comparison.

Background: Intertemporal choices are the process by which people make choices about losses or gains at different points in time (near or far). To explore the relationship between font color and intertemporal choice and to examine the serial mediation of time perception and intradimensional difference comparison on the association between font color and intertemporal choice on the basis of attribute-based choice models.

Methods: We randomly assigned subjects to the intertemporal choices questionnaire in a specific font color (blue vs.

A comprehensive review of computational diagnostic techniques for lymphedema.

Lymphedema is localized swelling due to lymphatic system dysfunction, often affecting arms and legs due to fluid accumulation. It occurs in 20% to 94% of patients within 2 to 5 years after breast cancer treatment, with around 20% of women developing breast cancer-related lymphedema (BCRL). This condition involves the accumulation of protein-rich fluid in interstitial spaces, leading to symptoms like swelling, pain, and reduced mobility that significantly impact quality of life.

Expected profitability, independence, and risk assessment of small farmers in the wave of GM crop collectivization--evidence from Xinjiang and Guangdong.

As a longstanding and indispensable part of developing countries, small farmers face challenges brought by the dissemination of GM technology. Despite governments' efforts to promote collective cultivation of GM crops through top-down policies aimed at enhancing small farmers' production efficiency and market competitiveness, actual participation rates among small farmers in many developing countries remain low. This reflects a gap and mismatch between policy design and the actual needs of small farmers.

Utilisation of outpatient care immediately before emergency admission for ambulatory care-sensitive conditions in Japan: a retrospective observational study.

Objective: This study assessed whether patients with potentially preventable emergency admissions had limited access to outpatient care immediately before admission and whether they received appropriate outpatient care during their outpatient visits.

Design: Retrospective observational study.

Setting: Linked outpatient and inpatient care records obtained from a nationwide claims database in Japan.

Regional green economies and Bitcoin's electricity consumption: Paving the way for global sustainability.

In the context of global sustainability goals, it is imperative to examine the interplay between emerging financial technologies and environmental objectives, which in turn offers insights into the implications of such technologies on sustainable investments and environmental policy decisions. Accordingly, this study investigates the influence of Bitcoin's energy consumption (BEC), as a representative of the cryptocurrency market, on the regional green economy indices of the United States, Europe, and Asia. Utilizing both unfiltered and filtered data, we conduct empirical analyses from both static and dynamic perspectives to account for the causal relationships that emerged during critical market developments, employing novel algorithms including forward recursive, rolling windows, and recursive rolling.

Traditional online and live-streaming dual-channel strategies and pricing policies.

This study examines the pricing policies and the dual-channel strategies in a two-tier supply chain where a manufacturer distributes products through a retailer and considers the opening of a traditional direct online channel or a live-streaming sales channel The manufacturer has three sales modes, i.e., traditional retail channel only, opening a traditional direct online channel and opening a live-streaming direct sales channel, to consider.

Does environmental management system certification keep enterprises out of trouble? Evidence from stock price crash risk.

This paper examines the impact of environmental management system (EMS) certification, a significant voluntary participatory environmental regulation, on the risk of stock price collapse. The study is based on sample data of heavily polluting listed companies from 2008-2020. The study demonstrates that certification of environmental management systems has a significant impact on preventing share price collapse.

New moderationism: medical discourses on alcohol and the decline of drunkenness in interwar Britain.

This article explores the significant yet underappreciated role of medical experts in consolidating the promotion of moderate drinking as a viable solution to Britain's alcohol problem during the interwar period. The country's experience with alcohol regulation in the First World War showed that widespread drunkenness could be effectively managed through policies that restricted the availability of alcohol and encouraged moderation. This realization weakened the political standing of the temperance movement, as support for alcohol prohibition and abstinence waned, leading to the liberalization of social attitudes towards drinking.

Optimizing Nurse Rostering: A Case Study Using Integer Programming to Enhance Operational Efficiency and Care Quality.

This study addresses the complex challenge of Nurse Rostering (NR) in oncology departments, a critical component of healthcare management affecting operational efficiency and patient care quality. Given the intricate dynamics of healthcare settings, particularly in oncology clinics, where patient needs are acute and unpredictable, optimizing nurse schedules is paramount for enhancing care delivery and staff satisfaction. Employing advanced Integer Programming (IP) techniques, this research develops a comprehensive model to optimise NR.

Nonlinear effects of resource allocation delay on epidemic spreading in complex networks.

The impact of resource allocation on the dynamics of epidemic spreading is an important topic. In real-life scenarios, individuals usually prioritize their own safety, and this self-protection consciousness will lead to delays in resource allocation. However, there is a lack of systematic research on the impact of resource allocation delay on epidemic spreading.

The impact of spillover and crossover effects of job stressors on pregnancy rates in couples undergoing in vitro fertilization treatments.

Purpose: Studies have shown mixed findings regarding the impact of stress on the success of fertility treatments. To the best of our knowledge, stress in the context of the workplace has not been investigated to date in relation to the success of fertility treatments. This research investigates the impact of work-related stress and emotional exhaustion experienced by both partners on in vitro fertilization (IVF) treatment outcomes.

The effect of responsible leadership on organizational citizenship behavior: double mediation of gratitude and organizational identification.

Background: Organizational citizenship behavior (OCB) is a non-compulsory but beneficial behavior for effective organizational operation. OCB can be largely determined by the type of leadership style, among which responsible leadership has been attracting considerable attention in the organizational context nowadays. The objective of this study was to examine the parallel mediating effect of gratitude and organizational identification between responsible leadership and OCB among the academic staff in China.

How do multi-faceted environmental policies enhance the production efficiency of enterprises?-Mechanisms discovery based on machine learning algorithms.

Carbon neutrality has gained considerable attention globally, and the impact of environmental policy on businesses has been extensively studied. However, the mechanism through which environmental policy affects production efficiency within the enterprise remains unclear. The objectives of this paper are: 1.

Do renewable energy policies exacerbate corporate information uncertainty?

This study analyzes the impact of state-level renewable energy policies and incentives on the corporate information environment in the US. It considers these renewable energy policies and incentives as exogenous measures of firm-level renewable energy exposure. The findings indicate that such policies and incentives significantly increase firms' adoption of renewable energy, confirming their suitability as proxies for external shocks.

A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM.

Agriculture is a major contributor to global greenhouse gas emissions, highlighting the urgent need for effective carbon reduction strategies. This study presents an innovative integrated model that employs Fermatean Neutrosophic Set in conjunction with the Weighted Influence Nonlinear Gauge System and the Analytic Hierarchy Process combined with the Entropy Weight Method to assess key factors influencing agricultural carbon reduction. Our study delineates the hierarchical importance of factors influencing carbon emissions, with carbon emission reduction policy (τ4) emerging as the paramount factor, attributed a value of 0.

Identification model of mine water inrush source based on XGBoost and SHAP.

This study focuses on the construction and interpretation of a mine water inrush source identification model to enhance the precision and credibility of the model. For water inrush source identification and feature analysis, a novel method combining XGBoost and SHAP is suggested. The model uses Ca, Mg, K + Na, HCO, Cl, SO, Hardness, and pH as discriminators, and the key parameters in the XGBoost model are optimized by introducing the improved sparrow search algorithm.

Analysis of recent changes in treatment options for patients with hepatocellular carcinoma using data from a highly comprehensive Japanese national database: Impact of advances in systemic therapy and minimally invasive surgery.

In 2011, the Ministry of Health, Labour and Welfare started providing data from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) for research purposes. The NDB is an exhaustive and valuable database for health policymaking and research. It provides an accurate and most recent visualization of the burden of hepatocellular carcinoma (HCC) in Japan.