Search Results (4,818)

Intelligent design has been the direction pursued by international electric vehicle (EV) research and development (R&D) teams in recent years. This paper analyzes the problems of unsustainable development in the current product design of EVs in China, such as high R&D investment, high innovation risks, and low R&D input–output ratios. It explores the issues related to intelligent design, R&D investment, car prices, and safety in the field of EVs in China, and it proposes the concept of optimizing intelligence to optimize the design investment of EVs in China. On the basis of the development situation and the existing problems of social organization standards that gather innovative technologies for EVs, this paper used data from the national social organization standard information platform as the research object and analyzed important data, such as the quantity of the information of relevant social organizations and professional fields of social organization standards, through mathematical methods. The article proposes an optimization design scheme for EV products in China, combining intelligence and practicality from the perspective of the optimizing intelligent design, and it models the construction of EV optimization design. The quantitative relationship between the two schemes before and after optimization design is compared in terms of cost savings in intelligent design, the improvement of social benefits, and the enhancement of EV cost performance. The comparative study found that intelligent optimization design reduced the R&D cost of EVs by 45.24%, and the social benefits of R&D investment increased by 29.51%. Full article

The adoption of innovations in rice cultivation is presumed to operate in a rational manner, wherein new technologies or practices that successfully increase productivity or resource efficiency are adopted by target farmers based on cost-benefit calculations. In contrast, this paper examines a case of a public initiative to promote the system of rice intensification (SRI), wherein farmers widely disadopted the technique despite reporting increasing yields and reduced water consumption. To explain this paradox, we use the concept of the socio-ecological niche to examine a range of social and institutional factors that shape farmers’ decision-making. These included (1) access to land and labour; (2) water management capacity; (3) the quality of networks for knowledge sharing. The research suggests that small variations in these categories among otherwise similar smallholder households can markedly shape farmers’ risk perceptions and tangible outcomes with SRI. The implication is that agricultural innovations should be judged within their wider social context rather than on narrow evaluations of agronomic efficiency. Importantly, this must involve greater feedback mechanisms from smallholders with a variety of socio-economic profiles to help shape the character of agricultural innovations and extension strategies. Full article

This study investigates the impact of social media use on faculty job performance, exploring the mediating roles of internal communication and teamwork. Drawing on the Uses and Gratifications theory, we examine how faculty members utilize social media for three distinct purposes: social interaction (social use), enjoyment (hedonic use), and information seeking (cognitive use). We analyze how these three dimensions of social media use influence teachers’ performance, encompassing both routine and innovative aspects. This analysis is based on data collected via an online survey completed by 456 faculty members at public state colleges in northern India in 2024. Structural Equation Modeling (SEM) was used to test the hypotheses. The findings reveal that social, hedonic, and cognitive use of social media positively affects faculty innovative and routine job performance, with teamwork and internal communication acting as partial mediators in this relationship. This research offers valuable insights for faculty development professionals, educational administrators, and policymakers. Full article

Chempreneurs are revolutionary entrepreneurs who have been trained at a chemistry faculty. They are expected to find innovative solutions for current challenges to the chemical industry, such as sustainability. Innovative chemical entrepreneurship is the art of commercialising innovations from chemistry for a broad audience outside the classroom. Innovative ideas that are implemented with societal relevance offer the potential for individuals/graduates to generate income and promote the economy, thus offering students the opportunity to lay the foundation for a career with innovations developed in class. The probability of a German chemistry student founding a company is 54% lower than for the average German student. Previous studies show the potential effects of social capital, the subjective norm, motives and barriers for chemistry students in Germany. In this study, we tested these hypotheses by implementing entrepreneurship education. Two surveys, one before class and one with a one-week delay, were conducted with first- and third-semester chemistry bachelor students at the Fresenius University of Applied Sciences in Idstein, Germany. We conducted the surveys to understand how students view chemistry career opportunities through entrepreneurship and how to change this mindset. Finally, we propose a pedagogy to introduce/expand entrepreneurship in chemistry and discuss approaches for future research. Full article

This paper applies a ‘more-than-human’ theoretical framework to assess artificial intelligence (AI) in the context of a capitalist economy. Case studies of AI applications from the fields of finance, medicine, commerce and manufacturing elucidate how this capitalist context shapes the aims and objectives of these innovations. The early sections of the paper set out a more-than-human theoretical perspective on capitalism, to show how the accumulation of capital depends upon free flows of commodities, money and labour, and more-than-human forces associated with supply and demand. The paper concludes that while there will be many future applications of AI, it is already in thrall to capitalist enterprise. The primary social significance of AI is that it enhances capital accumulation and a capitalist ‘black hole’ that draws more and more human activity into its sphere of influence. AI has consequent negative social, political and environmental capacities, including financial uncertainty, waste, and social inequalities. Some ways to contain and even subvert these negative consequences of an AI-fuelled capitalism are suggested. Full article

The rapid advancement of artificial intelligence (AI) technology has catalyzed unprecedented innovation in the healthcare industry, transforming medical practices and patient care. However, this progress brings significant ethical challenges, highlighting the need for a comprehensive exploration of algorethics—the intersection of algorithm design and ethical considerations. This study aimed to conduct a narrative review of reviews in the field of algorethics with specific key questions. The review utilized a standardized checklist for narrative reviews, including the ANDJ Narrative Checklist, to ensure thoroughness and consistency. Searches were performed on PubMed, Scopus, and Google Scholar. The review revealed a growing emphasis on integrating fairness, transparency, and accountability into AI systems, alongside significant progress in ethical AI development. The importance of collaboration between different domains of scientific production, such as social sciences and standardization (like the IEEE), and the development of guidelines is significantly emphasized, with demonstrated direct impact in the health domain. However, gaps persist, particularly in the lack of standardized evaluation methods and the challenges posed by complex sectors like healthcare. The findings underscore the need and importance for robust data governance to prevent biases and highlight the importance of cross-disciplinary collaboration in creating comprehensive ethical frameworks for AI. The field of algorethics has important applications in the health domain, and there is a significant increase in attention, with a focus on addressing issues and seeking both practical and theoretical solutions. Future research should prioritize establishing standardized evaluation practices for AI, fostering interdisciplinary collaboration, developing sector-specific ethical guidelines, exploring AI’s long-term societal impacts, and enhancing ethical training for developers. Continued attention to emerging ethical standards is also crucial for aligning AI technologies with evolving ethical principles. Full article

As a model of the symbiotic wisdom between humans and nature, traditional villages carry rich historical and cultural values in their existence. However, the rapid urbanization process has led to the destruction and even disappearance of many traditional villages, and surviving villages urgently need to cope with the severe challenge of protecting their original ecology and cultural environment. To preserve the heritage of traditional villages, it is necessary to investigate their geographic distribution and influencing factors. We have conducted research and statistics on traditional villages using Geographic Information System (GIS) spatial analysis technology (GIS), described in detail the complex interrelationships among natural, social, and cultural variables in the distribution and evolution of villages, and analyzed the relevant influencing factors qualitatively and quantitatively. The results of the research show that (1) in terms of geographical distribution, traditional villages in Guizhou tend to exhibit a high degree of agglomeration and clustering, and their distribution structure is characterized by “small aggregation and scattering, with many cores and few peripheries”. (2) Most traditional villages in Guizhou appeared after the end of the Qing Dynasty. (3) Natural and cultural factors influence the design and layout of traditional settlements, and socioeconomic and historical culture influence the evolution of traditional settlements. These factors also influence the formation of traditional villages and the changes in their geographical distribution. This study provides a scientific basis for the sustainable development of traditional villages in Guizhou Province. It explores a new way to study and protect the spatial patterns of traditional villages. Full article

Sustainable development, epitomized by green innovation, is increasingly emerging as a pivotal force propelling economic ecosystems and environmental conservation efforts. It plays a vital role in addressing the environmental challenges epitomized by the Kuznets curve conundrum. As a pivotal theoretical determinant in fostering green innovation practices within firms, the extent of influence and the underlying mechanism of top executives’ educational backgrounds have not been adequately examined through empirical research. This study investigates the influence of executives’ educational attainment on corporate green innovation, examining the relationship from the perspectives of risk assumption and corporate social responsibility. The results of our analysis are as follows: (1) there is a significant positive correlation between the educational level of executives and the incidence of green technological innovation within firms. (2) Executives with overseas backgrounds make a substantial contribution to both green technological and green management innovation. (3) The examination of mediation effects reveals that risk bearing plays a partial mediation role in the process through which executives’ educational background influences green technological innovation. Additionally, corporate social responsibility functions as a partial mediation factor. Full article

Mitigating and avoiding social unrest caused by ecological forest restoration is a key factor in the coordinated development of forests and society. Forests, which are intricately linked with society, serve as a vital source of timber, non-timber forest products, and ecosystem services. Ecological forest restoration projects must carefully consider the relationship between forests and society to promote their coordinated development. As a key implementation area for the Natural Forest Resource Protection Project, the state-owned forest regions in Northeast China have experienced a crisis regarding harvestable resources and social unrest caused by protection policies and are currently innovating in policies and practices to mitigate social unrest. This study focuses on the history of natural forest resource conservation projects in China’s state-owned forest areas as a case study for empirical research, aiming to provide insights into ecological restoration models that foster harmony between forests and society. The empirical analyses reveal the following findings: (1) As a result of strict protection, natural forest resources on state-owned land have transitioned from providing timber to ecosystem services and non-timber products. (2) The strict logging ban policy has led to severe resource shortages; from 2000 to 2020, for every 10,000 cubic meter decrease in timber harvest, the per capita output in state-owned forest areas has dropped by more than CNY 500 (approximately USD 70). (3) Proactive ecological restoration can effectively alleviate social unrest; from 2000 to 2020, for every additional 10,000 hectares of forest tending, the average wage increased by more than CNY 900 (approximately USD 127). (4) Regional transformation can effectively generate a buffer effect to mitigate social unrest caused by strict forest protection policies and leverage the beneficial resources produced by ecological forest restoration to develop new drivers of economic growth. By systematically reviewing the comprehensive implementation of the NFPP, this paper’s findings provide insights into ecological restoration strategies that promote the harmonious development of forests and society. Full article

Providing couriers with wearable artificial intelligence devices to prevent accidents is not only beneficial to the courier’s safety but will also save money in terms of insurance premiums for express companies; therefore, it is worth investigating what factors can influence the acceptance of wearable artificial intelligence devices by couriers. Push–pull–mooring (PPM) theory and affective event theory (AET) are integrated, to test couriers’ adoption of wearable safety detection devices. Social influence, perceived security, personal innovativeness, and affective event reaction are applied to the research model. Questionnaires are distributed among several listed express companies and 263 valid questionnaires are used for empirical testing. Empirical results indicated that social influence, perceived safety, personal innovativeness and affective event reaction are positively related to usage with coefficients 0.218, 0.301, 0.698 and 0.309. Personal innovativeness has positive moderating effects on relationships between affective event reaction, perceived security and usage, with coefficients 0.145 and 0.106; however, it has no significant moderating effect on the relationship between social influence and usage. The research aims to help support the proliferation and adoption of wearable artificial intelligence devices to optimize the current state of the express industry and improve the interaction between couriers and managers, creating an active management strategy that will allow express companies to thrive. The study not only provides insights to help express companies reduce insurance costs, but also provides recommendations for accelerating the company’s environmental, social and governance goals, leading sustainable development and building new corporate value. Full article

This article aims to reveal the internal mechanism of the government’s leading role in influencing consumers’ green purchasing behavior. This study is based on the Stimulus Organism Response theory and innovation diffusion theory, uniquely combining individual and social levels to deeply explore the mechanism and internal mechanisms of government-led actions, providing a more comprehensive theoretical contribution to this field. This study adopts a combination of qualitative and quantitative methods, introducing perceived costs and perceived risks as individual level factors influencing consumers’ purchasing intentions through qualitative research, and introducing social confidence as a factor influencing consumers’ purchasing intentions through social level government subsidies. This study adds a new dimension to how government subsidies affect consumers’ green purchasing behavior. In addition, statistical analysis was used to explore the mediating effects of perceived cost, perceived risk, and social confidence, as well as the moderating effect of the level of supporting facilities. Survey data collected from consumers shows that government subsidies further affect consumers’ willingness to purchase new energy vehicles by influencing their perceived costs, perceived risks, and social confidence, with a particularly strong mediating effect of social confidence. The research results reveal the positive role of government leadership in sustainable development, which contributes to the diffusion of emerging green products and the achievement of sustainable development by the country. Full article

The increasingly digital nature of modern societies necessitates continually examining how individuals interact in the public sphere. This systematic literature review comprehensively analyzes emerging research on public interaction across diverse contexts. By employing an innovative method of applying artificial intelligence on a large-scale academic corpus, we systematically identified and categorized eight major research clusters: social media and public discourse; public Governance in health and education; urban environments and data systems; group interaction dynamics; complex systems modeling; human-display interfaces; political processes; and public service design. Sub-topic mapping revealed key themes such as digital civic engagement, transport sustainability, behavioral dynamics, and socio-environmental impacts. Our interdisciplinary synthesis highlights public interaction as a multifaceted phenomenon intertwined with technological change, policy decisions, environmental factors, and social constructs. These insights underscore the need for holistic, cross-disciplinary approaches to navigate the challenges and opportunities of public interaction in our rapidly evolving digital age. This review provides a unified knowledge base to guide future research while informing decision-makers on cultivating participatory, adaptive, and sustainable public spheres. Full article

Environmental entrepreneurship has a vital role in addressing our planet’s critical environmental state by implementing innovative solutions to combat escalating environmental threats. These ventures, however, face numerous challenges, including securing initial funding, navigating technical difficulties, and gaining market acceptance, which are magnified by the pioneering nature of green innovations. Social capital is a key facilitator, enabling entrepreneurs to overcome obstacles through smart network management, trust, and strategic partnerships. This study investigates the role of social capital in mitigating the challenges faced by environmental entrepreneurs. We conducted semi-structured interviews with entrepreneurs. Our findings reveal how social capital not only assists in navigating the complexities and challenges ingrained in environmental entrepreneurship but is also an inherent part of environmental venture creation. These insights emphasize the importance of social capital in advancing environmental innovation. Theoretical and practical implications are discussed. Full article

Background/Objectives: Major depressive disorder (MDD) is a mental health condition that can severely impact patients’ social lives, leading to withdrawal and difficulty in maintaining relationships. Environmental factors such as trauma and stress can worsen MDD by interacting with genetic predispositions. Epigenetics, which examines changes in gene expression influenced by the environment, may help identify patterns linked to depression. This study aimed to explore the epigenetic mechanisms behind MDD by analysing six public datasets (n = 1125 MDD cases, 398 controls in blood; n = 95 MDD cases, 96 controls in brain tissues) from the Gene Expression Omnibus. Methods: As an innovative approach, two meta-analyses of DNA methylation patterns were conducted alongside an investigation of stochastic epigenetic mutations (SEMs), epigenetic age acceleration, and rare epivariations. Results: While no significant global methylation differences were observed between MDD cases and controls, hypomethylation near the SHF gene (brain-specific probe cg25801113) was consistently found in MDD cases. SEMs revealed a gene-level burden in MDD, though epigenetic age acceleration was not central to the disorder. Additionally, 51 rare epivariations were identified in blood tissue and 1 in brain tissue linked to MDD. Conclusions: The study emphasises the potential role of rare epivariations in MDD’s epigenetic regulation but calls for further research with larger, more diverse cohorts to confirm these findings. Full article

Culturally and linguistically diverse (CALD) mothers with young children face multiple inequities in accessing primary health services, such as language barriers, social isolation, low health literacy, and the availability of appropriate interpretation services. These inequities are persistent and indicate that child and family health nurse (CFHN) services, the providers of primary healthcare in many developed countries, require better support to address the needs of these families. This study engaged with CFHNs and healthcare interpreters to co-design a model of support for practice using workshops that included individual and collective brainstorming and visual representations. Transcripts of the discussion were analysed using thematic analysis. CFHNs and interpreters were able to articulate their perfect service model: a central multidisciplinary team of CFHNs, interpreters, and bilingual educators who could facilitate nurse–interpreter and nurse–interpreter–client relationships, allowing CFHNs and interpreters to do their jobs properly. This central structural component would support and be supported by rapport, trust, client choice and access, continuity of care, and cultural comfort. The study concluded that CALD mothers’ access and engagement require CFHNs to have support for their cultural comfort through the mechanism of bilingual educators and the expansion of healthcare interpreters’ role and scope in working with CFHNs in the delivery of services. Full article