Integrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories.

Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, and adhering to stringent environmental standards.

Revolutionizing faculty's intrinsic work motivation in China: A novel serial mediation model integrating value-based leadership, growth mindset, and teaching self-efficacy.

This study presents a revolutionary understanding of how value-based leadership enhances the intrinsic work motivation of Chinese university faculty. A novel serial mediation model is introduced, highlighting the interplay between growth mindset and teaching self-efficacy in transmitting the impact of leadership to increased intrinsic motivation. Utilizing a comprehensive sample of 394 faculty members from across China, advanced SmartPLS 3.

Fall prevention among older adults in KSA: Role of physical therapy.

Objectives: Falls and fall-related injuries among older adults are a growing public health concern. Although multiple factors and co-morbidities are associated with falls, balance and gait disorders are among the most common causes. Physical therapists have expertise in fall-risk assessment and management.

Developing competency-based medical education for dental education in Taiwan: A pilot study of tooth extraction entrustable professional activities.

Background/purpose: This study aimed to evaluate the initial implementation of competency-based medical education (CBME) through entrustable professional activities (EPAs) in Taiwan dental education, focusing on tooth extraction EPAs across undergraduate year (UGY), postgraduate year (PGY), and oral and maxillofacial surgery-residency (OS-R) levels.

Materials And Methods: Using the Delphi method, an advisory team developed and validated three levels of trial EPAs, which were implemented through the Emyway platform. A structured questionnaire was used to evaluate teachers' and students' experiences and satisfaction with Emyway and the EPAs.

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).

Cohort profile: the potentially preventable burden of community-acquired pneumonia in South African adults in the era of widespread PCV13 immunisation and antiretroviral therapy roll-out, before and during the COVID-19 pandemic - the multicentre, multimethod PotPrev Study.

Purpose: In the setting of an established childhood pneumococcal vaccination programme with immediate initiation and treatment of antiretroviral therapy (ART) for people living with HIV (PLWH), the risk of adult pneumococcal community-acquired pneumonia (CAP) is not recently described. We aimed to investigate CAP incidence, recurrence, mortality, risk factors and microbiology before and during the COVID-19 pandemic.

Participants: Adults aged ≥18 years were enrolled in three South African provinces from March 2019 to October 2021, with a brief halt during the initial COVID-19 lockdown.

Scoping review of veterans' disclosure of mental health concerns or medical conditions in the workplace and other settings: study protocol.

Introduction: Veterans deal with 'unobservable' medical or mental health conditions, such as post-traumatic stress disorder, at higher rates than the general population. Disclosure of such conditions is important to provide social, emotional, medical and mental health support, but veterans may face challenges when deciding whether to disclose conditions, including fear of stigma or discrimination. Safe disclosure in the workplace is particularly important, as it allows employees to gain accommodations and enables employers to manage workplace health and safety effectively.

Willingness to pay a premium for eco-label products in China: a mediation model based on quality value.

Sustainable consumption plays an important role in achieving sustainable development. Eco-labels can help to convey this message to consumers. In China, the new carbon label represents a new kind of sustainable eco-label; as such, the relationship between carbon labeling and consumers' willingness to pay (WTP) a premium is worth studying.

Addressing Water Scarcity to Achieve Climate Resilience and Human Health.

Water scarcity is projected to affect half of the world's population, gradually exacerbated by climate change. This article elaborates from a panel discussion at the 2023 United Nations Water Conference on Addressing Water Scarcity to Achieve Climate Resilience and Human Health. Understanding and addressing water scarcity goes beyond hydrological water balances to also include societal and economic measures.

Mature-Aged People in the Rural Health Workforce System: A Systems Modelling Approach.

Objective: The median age of people in rural areas is older than those living in metropolitan areas. Harnessing the potential of the mature-aged population in rural communities may present a uniquely sustainable approach to strengthening the rural health workforce system. The objective of this study was to map the rural health workforce system in Australia and identify the current and potential role of mature-aged people in the workforce system.

The impact of public policy on enterprise innovation performance: Panel data on financial subsidy policy.

This study examined the impact of government subsidies on enterprise innovation performance in China. The fixed effects model was used for empirical analysis, utilizing panel data from 17,670 observations of 3703 listed A-share companies between 2012 and 2022, and the findings indicate that government subsidies significantly enhance enterprise innovation performance, with R&D investment serving as a partial mediator. The enterprise scale, ownership nature, and regional economic differences influenced the effectiveness of the subsidy.

Stewarding COVID-19 health systems response in Pakistan: what more can be done for a primary health care approach to future pandemics?

We apply a primary healthcare (PHC) perspective to gauge Pakistan's health systems response to COVID-19, to identify stewardship lessons for integrating the PHC pandemic response. Analysis of Pakistan's response against the Astana PHC framework shows that the imperative for national survival helped mobilise an agile response across a fragmented health security context. The findings show effective multisector governance in responding to the health and social aspects of the pandemic, as well as the rapid roll-out of several public health functions and emergency care.

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).

Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence.

Skin diseases impact millions of people around the world and pose a severe risk to public health. These diseases have a wide range of effects on the skin's structure, functionality, and appearance. Identifying and predicting skin diseases are laborious processes that require a complete physical examination, a review of the patient's medical history, and proper laboratory diagnostic testing.

Using an inferior decoy alternative to nudge COVID-19 vaccination.

Optimizing vaccine uptake is a public health challenge that requires the implementation of effective strategies. The asymmetric dominance (or decoy) effect describes the increasing likelihood of selecting an option when a clearly inferior alternative is offered. Therefore, we aimed to test the impact of offering decoy alternatives-less convenient vaccination appointments-on vaccination intentions.

Energy-Efficient and Trust-Based Autonomous Underwater Vehicle Scheme for 6G-Enabled Internet of Underwater Things.

This paper introduces a novel energy-efficient lightweight, void hole avoidance, localization, and trust-based scheme, termed as Energy-Efficient and Trust-based Autonomous Underwater Vehicle (EETAUV) protocol designed for 6G-enabled underwater acoustic sensor networks (UASNs). The proposed scheme addresses key challenges in UASNs, such as energy consumption, network stability, and data security. It integrates a trust management framework that enhances communication security through node identification and verification mechanisms utilizing normal and phantom nodes.

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.

Association between the environmental efficiency and corruption perception index: A dynamic alternative metafrontier SBM approach.

Corruption involves abuse of power and increases economic inequality, which may hinder progress toward achieving the United Nations' Sustainable Development Goal 16.B. While some studies have examined the economic and environmental implications of corruption, the dynamic relationship between the environmental efficiency and different levels of corruption in different countries, while accounting for their respective geographical regions, has still not been fully explored.

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.

Impact of capacity building through learning, training, and coaching on agricultural innovation.

Successful innovation requires employees to have intellectual and technical capacity. This study explored the effects of capacity building through educational learning, organizational training, and coaching on agricultural innovation. A sample of 142 operational-level agriculture scientists working within a public sector agricultural research organisation in Zimbabwe.

How breakthroughs happen: Unearthing the boundary conditions of eco-friendly deliberate practice and eco-innovation performance.

Surprisingly innovation process based on deliberate practice has rarely been unearthed that might explore the boundary conditions of the eco-friendly deliberate practice and eco-innovation performance relationship. Anchored on the organizational support theory and the social cognitive, the current study seeks to investigate the impacts of perceived organizational support (POS) and developmental leadership (DL) on eco-innovation performance (EP) through the mediating role of eco-friendly deliberate practice (EDP). In addition, the study explores the boundary effects of employee resilience (ER) on the relationship between EDP and EP.

National assessment on the frequency of pain medication prescribed for intrauterine device insertion procedures within the Veterans Affairs Health Care System.

Background: The intrauterine device (IUD) is a highly effective form of long-acting reversible contraception, widely recognized for its convenience and efficacy. Despite its benefits, many patients report moderate to severe pain during and after their IUD insertion procedure. Furthermore, reports suggest significant variability in pain control medications, including no adequate pain medication.