Unlocking emotional well-being: Evaluation of a stress mindset intervention with a metacognitive approach.

Although there is a growing body of research on the effects of a stress mindset on health and well-being, knowledge of the effectiveness of stress mindset interventions in real-world situations is limited and primarily supported by evidence from Western cultural contexts. We examined the effects of a stress mindset intervention with a metacognitive approach on emotional well-being (negative affect, positive affect, anxious affect, and life satisfaction) over 4 months (i.e.

Socio-economic and demographic determinants of undernutrition among 6-59 months old children living in Malawian stunting hotspots: a cross-sectional community study.

Background: Malnutrition is a global burden, with 171 million under-five children stunted and 45% of child deaths linked to it. Despite high undernutrition such as stunting in Mchinji, Mangochi, and Mzimba, no study has focused on all three hot spots. This study examined socio-economic and demographic determinants of undernutrition among children aged 6-59 months, offering insights to guide targeted interventions in these areas.

Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.

Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI, are more susceptible to procedural complications, which can increase healthcare costs. Developing efficient strategies for resource allocation has become a paramount concern due to tightening healthcare budgets and the escalating costs of treating heart conditions.

Implementation of a Faith Community Nursing Transition of Care Program in the USA: A Propensity Score Matching Analysis.

Faith community nursing (FCN) is a specialty nursing practice that integrates spiritual and religious practices into patient care. This study aimed to quantitatively assess the impact of the standardized FCN transition of care (TOC) program on the rate of hospital readmission and length of stay (LOS) through propensity score matching and difference-in-differences methods. Compared with those in the non-FCN group (n = 409), patients in the FCN group (n = 66) had a reduced likelihood of hospital readmission at 30, 90, and 180 days after discharge (by 8.

Trust in scientists and their role in society across 68 countries.

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists.

Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model.

Although the rapid development of new energy vehicles (NEV) has contributed greatly to China's carbon emission reduction, it has also brought about a problem that needs to be solved, namely the effective recycling of waste batteries. Existing recycling of waste batteries is plagued by a series of problems such as a single recycling channel, inconsistent recycling standards, lack of recycling technology, rampant irregular recycling enterprises, and low consumer participation. Meanwhile, due to the immaturity of the recycling market, the lack of clarity of existing regulations, and the lack of supervision and management, the above problems are becoming more and more serious.

Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset.

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.

The impact of goods and services tax increase on economic crime: Evidence from China's tobacco tax hike.

Introduction: Despite the acknowledged interconnection between socioeconomic environment and economic crime, research on the relationship between Goods and Services Tax (GST) and economic crime is scarce because of their complicated relationship. This study examines the impact of the GST increase on the illicit tobacco trade.

Methods: Based on China's tobacco excise tax shock in 2015, this study employs a difference-in-difference (DID) method to analyze the impact of the GST increase on economic crime.

Climate Change and Malaria: A Call for Robust Analytics.

Mosquito ecology and behavior and malaria parasite development display marked sensitivity to weather, in particular to temperature and precipitation. Therefore, climate change is expected to profoundly affect malaria epidemiology in its transmission, spatiotemporal distribution and consequent disease burden. However, malaria transmission is also complicated by other factors (e.

Controlling shareholders' equity pledge and corporate innovation investment-empirical analysis based on pharmaceutical manufacturing.

Enterprise innovation investment is influenced by the actions of innovation subjects, whereas regulating shareholders' equity pledge behavior facilitates innovation investment and finance but also carries dangers and affects enterprise innovation investment. Methods:This paper builds an unbalanced panel model to empirically analyze the impact of controlling shareholders' equity pledges on corporate innovation and its heterogeneous characteristics. It also looks at the moderating role of corporate financing constraints and the mediating role of equity incentives, using data from A-share listed companies in China's pharmaceutical manufacturing industry from 2015 to 2022.

Competition of regulatory ecosystems in approving medicines: policy implications in the case of Europe.

The competition between business ecosystems is relevant not only for strategic management, but also for health policy and regulators. Regulation is one key factor in ecosystem competition, and government and regulatory bodies implement new pharmaceutical legislations, policies, and guidelines contributing to business environments capable of attracting startups, biotech firms, and pharmaceutical industry investments in innovative medicines and technologies. Implications for patients and societal welfare require a thorough analysis of strategies aimed at enhancing the competitive advantage of the European Union (EU) in attracting pharmaceutical companies to prioritize the submission of their innovative medicines.

Examining the moderation of the relationship between socio-economic status and consumption intentions by food information labels.

Front-of-package-labelling needs to portray health and/or sustainability information effectively to all consumers in a way that is both effective and equitable. There is mixed evidence for the effectiveness of such labels based on socioeconomic status (SES). Framing health consequences in an intuitive manner could help to reduce disparities in label comprehension across SES.

Managing and mitigating future public health risks: Planetary boundaries, global catastrophic risk, and inclusive wealth.

There are two separate conceptualizations for assessing existential risks: Planetary Boundaries (PBs) and global catastrophic risks (GCRs). While these concepts are similar in principle, their underpinning literatures tend not to engage with each other. Research related to these concepts has tended to be siloed in terms of the study of specific threats and also in terms of how these are assumed to materialize; PBs attribute global catastrophes to slow-moving and potentially irreversible global changes, while GCRs focuses on cataclysmic short-term events.

Spatial-temporal correlation effects and persistent synergistic control benefits of fine particulate matter and carbon emissions in China.

The synergistic reduction of air pollutants and carbon dioxide (CO) emissions is a key component in achieving China's strategy of pollution and carbon reduction. This study quantitatively evaluates the spatiotemporal linkages between PM and CO emissions, as well as the benefits of sustained synergistic control, across over 360 Chinese cities from 2005 to 2020. We employed spatiotemporal analysis, coupled coordinateness modeling, the Hurst index, and generalized linear mixed modeling (GLMM).

Synergistic governance efficiency of industrial pollution and CO emissions under the digital economy.

Using panel data for 284 Chinese cities, this study explores the nonlinear relationship between the digital economy and the synergistic governance efficiency of industrial pollution and CO emissions (SGEIPCE). The study also investigates the transmission mechanism of two-way knowledge flows within this relationship using the double fixed effect model and two-stage least square method. The results show that the digital economy has a significant U-shaped relationship on the SGEIPCE: the impact first decreases and then increases.

Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.

Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.

The dynamics of mental health policy in Iran over the last century.

Background: Mental disorders represent a significant global health concern, accounting for a substantial proportion of disabilities worldwide. Given its significance, it has consistently been a priority for health policy makers. The aim was to provide a comprehensive assessment of mental disorder-related policy events and related interventions in Iran.

Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach.

The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.

Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency.

In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective is to minimize the generation cost and environmental impact of microgrid systems by effectively scheduling distributed energy resources (DERs), including renewable energy sources (RES) such as solar and wind, alongside fossil-fuel-based generators. Four distinct demand response models-exponential, hyperbolic, logarithmic, and critical peak pricing (CPP)-are developed, each reflecting a different price elasticity of demand.

A scale for evaluating the willingness of national forest farm to participate in forest carbon sink project.

In recent years, the development of Forest Carbon Sink Project (FCSP) has become a key focus within forestry sector. Despite this, decision-makers often lack reliable tools to assess forest owners' willingness to engage in this project. This study aims to develop, validate and evaluate a rational value perception scale as the tool to understand the willingness of forest manager.

Used economy market insight: Sailboat industry pricing mechanism and regional effects.

With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data.

The impact of health risk communication on self-perceived health and worry of targeted groups: Lessons from the Swedish COVID-19 response.

Background: The Swedish COVID-19 strategy aimed to protect vulnerable groups through targeted measures, categorizing individuals aged 70 and above as high-risk. This study examines the impact of such group-based risk assessments on subjective health and virus-related concerns among older adults.

Methods: We analyzed survey data from the SOM Institute for 68- to 71-year-olds in 2019 (N = 684) and 2020 (N = 726).

Carbon information disclosure and corporate financial performance-Empirical evidence based on heavily polluting industries in China.

Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China's determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms.