Macro tax burden, FDI, and national innovation efficiency: A study on the impact of macro tax burden on national innovation efficiency

Based on a panel dataset of 54 countries from 2008 to 2019, this article uses the mediation effect model to examine the relationship between macro tax burden, FDI and innovation efficiency. We find that:(i) the macro tax burden is positively correlated with the innovation efficiency; (ii) there is a non-linear effect of FDI on innovation efficiency conditional on macro tax rate. When the macro tax burden is greater than the critical value (25.28%), it indirectly limits innovation efficiency by hindering FDI inflows. This means that in order to promote innovation efficiency at the national level, the macro tax rate should be maintained at a reasonable level, because that can make the government raise more money to invest in and subsidy the innovation activities.

The effect of internet use on the health of middle-aged and older adults: evidences from China general social survey

BACKGROUND

According to the United Nations classification of aging societies, China is rapidly transitioning into a moderately aging society, facing significant challenges related to population aging. Concurrently, China is actively implementing the Internet Power Strategy and the Internet Plus action plan, which are profoundly transforming the daily lives of individuals, including their health status. However, research on the impact of internet use on the health of middle-aged and older adults has not reached a consensus. This study aims to investigate the effects of internet use on the health of middle-aged and older adults, as well as the mechanisms and heterogeneity of these effects.

METHODS

This study utilized data from the China General Social Survey conducted in 2018, which includes a sample of 6470 individuals. Self-rated health, mental health, and objective health were used as key health indicators, with internet use identified as the primary independent variable. The study aims to analyze the impact of internet use on the health status of middle-aged and older adults through the application of an ordered probit model and instrumental variable methods.

RESULTS

The results indicate that internet use has a significant positive impact on the health of middle-aged and older adults, with significance at the 1% level. This finding has passed a series of robustness tests. Mechanism analysis reveals that information acquisition is a crucial mediating mechanism between internet use and the health of middle-aged and older adults. This suggests that increased internet use enhances information access, thereby improving health outcomes. Furthermore, heterogeneity analysis shows that the impact of internet use on health is more pronounced among individuals living in rural areas, western regions, low-income groups, and those aged under 60, compared to their counterparts in urban areas, eastern regions, higher-income brackets, and those aged 60 and above.

CONCLUSION

Internet use can improve the health of middle-aged and older adults. Therefore, government departments, senior universities, communities, and families should collaborate to actively conduct digital skills training for older adults. Additionally, efforts should be accelerated to adapt electronic products to be more elder-friendly, helping older adults overcome the digital divide and thereby reducing health inequalities among middle-aged and older groups.

Utilizing Yin-Yang approach to reinforce fuzzy front-end activities and manufacturing startups' growth performance

Fuzzy front-end is the research frontier of manufacturing industry. This study investigates the relationship between market-oriented FFE activities and manufacturing startup growth performance by adopting an open innovative ancient Chinese Taoism Yin-Yang approach under this post-pandemic circumstance. This study also examines the moderating behavioral effect of Chinese Zen-originated CEO mindfulness between market-oriented FFE activities and manufacturing startup growth performance. Data for this study were gathered from 343 Chinese manufacturing startups' CEOs across different manufacturing industries, including both high-tech and conventional manufacturing industries. The collected data were analyzed by using structural equation modeling and Bootstrap method. The quantitative analysis results show that most market-oriented FFE activities have positive effects on manufacturing startup growth performance and the Chinese Zen-originated CEO mindfulness positively moderates the relationship between most FFE activities and startup growth performance.

A scoping review of well-being measures: conceptualisation and scales for overall well-being

This study aims to identify the conceptualisation of overall well-being used for well-being assessment through a review of the characteristics and key components and/or dimensions of well-being scales as presented in current literature. Scopus and Web of Science were searched, and thematic analysis was conducted inductively to analyse the identified components within scales, as well as the types of well-being these scales measure. 107 peer-reviewed articles from 2003 to 2022 were included, and 69 well-being scales were identified covering nine areas of well-being. Four final themes were identified as the foundational dimensions of overall well-being: hedonic; eudaimonic; physical health; and generic happiness. Notably, these 69 scales are mainly validated and adopted in the Western context. '4 + N' frameworks of overall well-being are recommended for assessing overall well-being. This review provides researchers with a synthesis of what types of well-being have been measured and which measures have been used to assess these types of well-being for which research participants. Non-Western-based well-being research is called for that incorporates a broader range of research participants and cultural contexts in contributing to a more inclusive understanding of well-being.

Changes in systems thinking and health equity considerations across four communities participating in Catalyzing Communities

Childhood obesity is a persistent public health concern, and community-based interventions have become crucial for addressing it by engaging local communities and implementing comprehensive evidence-based strategies. The Catalyzing Communities intervention takes a "whole-of-community"approach to involve leaders from diverse sectors in thinking systematically about child healthy weights and implementing evidence-based solutions. Using systems thinking and the Getting to Equity framework to guide interview analysis, this study examines changes in participants' use of systems thinking concepts and health equity in 43 participants across four U.S. communities involved in the Catalyzing Communities intervention. Our findings reveal significant shifts in systems thinking concepts, as participants develop a deeper understanding of childhood obesity as a complex adaptive system, and system insights, as participants increasingly recognize the interconnections and leverage points within the system driving childhood obesity. Participants also experienced increases in health equity thinking and action, particularly when discussing social and structural determinants of health, commitment to targeted actions, and a focus on addressing barriers and enhancing resources. The intersection between systems insights and health equity action, such as explaining leverage points and interventions to reduce deterrents to health behaviors, suggests the need for systems thinking activities to be integrated into health equity planning. Future research is needed to develop measures to connect systems thinking concepts to health equity, and the impact of these to community-level policy, systems, and environmental changes in public health.

Intellectual property protection as catalyst for radical technological innovation in national research program teams through innovation milieu and group potentials

Based on the innovation-driven theory and the ability-motivation-opportunity (AMO) perspective, we explore the role of intellectual property protection (IPP) in enhancing the radical technological innovation (RTI) of national research project teams (NRPT). Survey data from 336 national research project team members from universities and enterprises were used to analyze the theoretical model of this study, bringing in the chain-mediated effects of innovation milieu (IM) and group potential (GP) for analysis, as well as two-stage hybrid partial least squares structural equation modeling (PLS-SEM) and artificial neural network techniques (ANN) to evaluate the hypotheses. The empirical findings of this paper show that the strength of IPP has a positive relationship with RTI of NRPT, and that IPP is the most important predictor of this. These new findings expand the scope of innovation-driven theory and AMO theory, and provide a constructive model for NRPT to provide suggestions for the improvement of IPP system as a way to improve the realization of RTI. The results of this study can guide policymakers in strengthening IPP systems to encourage research teams to explore innovation more proactively and to facilitate the reasonable sharing and transfer of innovative outcomes. By creating a supportive innovation environment and maximizing the potential of research teams, technological breakthroughs can be achieved more effectively.

Tomorrow's demons: a scoping review of the risks associated with emerging technologies

Society faces a growing set of risks from advanced emerging technologies. While there has been discussion on some of these risks, a comprehensive overview does not exist, and it is not clear what methods are suited to identify future risks. This scoping review aimed to synthesise current knowledge regarding the risks associated with emerging technologies. The findings show that a diverse set of technologies and risks have been considered, with ten risk themes identified: risks to human health and wellbeing, sub-standard technology risks, legal and ethical risks, privacy and security risks, socioeconomic impacts, ecological and environmental risks, malicious use risks, geopolitical risks, technological unemployment risks, and existential threats. It is concluded that there is a need to expand the focus of prospective risk assessments to consider the organisational, sociotechnical and societal systems in which emerging technologies will be deployed. The development of a future technology risks classification scheme is also recommended.

PRACTITIONER STATEMENT

This scoping review provides practitioners with a comprehensive overview of the risks associated with future advanced technologies. This will support the proactive development of suitable controls, with the findings also signposting ergonomics methods that can be used to support future risk assessments.

Model of driving factors for success in public health project management using structural equation modeling

In a context where pandemic crises and chronic conditions are a constant and increasing threat, the success of public health projects is absolutely critical. However, little is known about the factors that influence the success of projects that aim to provide conditions for people to be healthy and prolong the life of the population as a whole. A mixed-method study was carried out to fill the literature gap, resulting in a new model of success factors for public health projects. The research work theorizes the success factors that impact public health project success, providing relevant knowledge for project managers and contributing to the successful management of public health projects.

The key role of sufficiency for low demand-based carbon neutrality and energy security across Europe

A detailed assessment of a low energy demand, 1.5 ∘C compatible pathway is provided for Europe from a bottom-up, country scale modelling perspective. The level of detail enables a clear representation of the potential of sufficiency measures. Results show that by 2050, 50% final energy demand reduction compared to 2019 is possible in Europe, with at least 40% of it attributable to various sufficiency measures across all sectors. This reduction enables a 77% renewable energy share in 2040 and 100% in 2050, with very limited need for imports from outside of Europe and no carbon sequestration technologies. Sufficiency enables increased fairness between countries through the convergence towards a more equitable share of energy service levels. Here we show, that without sufficiency measures, Europe misses the opportunity to transform energy demand leaving considerable pressure on supply side changes combined with unproven carbon removal technologies.

Can digital technology adoption promote environmental innovation in small and medium-sized enterprises (SMEs)? Evidence from China

Despite the widespread acknowledgment in both industry and academia of the substantial potential of digital technology for fostering innovation and sustainable development, there remains uncertainty surrounding whether integrating these technologies can improve environmental innovation in small and medium-sized enterprises (SMEs) due to the liability of smallness. This paper utilizes a panel dataset comprising 1036 Chinese manufacturing SMEs listed between 2011 and 2020 to investigate the influence of different digital technology adoption strategies-specifically, digital technology adoption breadth (DTAB) and digital technology adoption depth (DTAD)-on SMEs' environmental innovation. Additionally, we examine the moderating effects of government subsidies and industrial agglomeration on these relationships. The results reveal that (1) DTAB has a negative effect on SMEs' environmental innovation; (2) DTAD positively affects SMEs' environmental innovation; and (3) both government R&D subsidies and environmental subsidies can positively moderate the relationships among DTAB, DTAD, and environmental innovation within SMEs. These findings are extended and upheld after undergoing a series of further analyses, endogeneity analyses, and robustness tests. Our research suggests that SMEs are not as suited to the broad adoption of digital technologies as large firms; instead, they should focus on the deep application of specific digital technologies to promote environmental innovation.

Optimising co-design processes in telemedicine innovation-developing a telemedical solution for emergency medical services

BACKGROUND

Stakeholder engagement plays a vital role in driving advancements in product development. This imperative now extends to the healthcare domain, driven by the scarcity of healthcare professionals and the pressing demand for effective solutions. Through the application of design thinking and co-design methodologies, this study endeavours to promote comprehensive stakeholder involvement, creating streamlined processes and adaptable templates geared towards fostering innovative solutions for tele-emergency medicine.

METHODS

In this study design thinking and co-design methods are developed, adapted, and tested, to create effective tools and demonstrate their application. This is part of a process involving stakeholders and lead users to develop a telemedicine solution for emergency medical services. This research is descriptive in kind, offering a transparent and holistic portrayal of the co-design process. The rural region of Burgenland in Austria was chosen for this study, with the challenges of its weak infrastructure offering valuable insights. The tools were tested in co-design workshops, with the participants continuously observed by the research team.

RESULTS

Seventeen healthcare professionals, emergency medical technicians and academics participated in a co-design process to develop a telemedicine solution for emergency medical services. The results section presents practical co-creative healthcare innovation tools and templates that have been shown to facilitate the co-design process.

CONCLUSIONS

The study developed and applied co-design elements for the creation of a prototype concept for telemedicine in emergency medicine and offers valuable insights for similar projects involving diverse stakeholders. It shows that structured co-design activities help all stakeholders to jointly create solutions that meet the overall needs.

Driving Innovation Through Regulatory Design and Corporate Behaviour: A Case Study of Functional Food Industry in Japan

This study addresses the critical need for innovation in the healthcare sector, particularly in Japan's functional food industry, amid rising chronic diseases and healthcare costs. It explores the complex relationship between regulatory design and corporate behaviour, focusing on how companies' compliance strategies influence their research and development (R&D) investments. A mixed-method approach was used, analysing data from 15 major dietary supplement companies and 74 products under Japan's Foods with Function Claims (FFCs) regulation. The study reveals a correlation between companies' engagement in the FFCs system and their preference for conducting in-house clinical trials, indicative of higher R&D investments (R = 0.66, p = 0.007), and that between the latter variable and average product sales, which is a measure of returns on regulatory compliance (R = 0.66, p = 0.008). Companies actively complying with FFCs regulations tend to conduct R&D and accumulate knowledge in-house, to innovate and differentiate their products, gaining competitive advantages. The study also highlights the role of a company's size, market presence, and industry origins in shaping regulatory strategies, with firms from other industries using FFCs regulations to explore new business opportunities. The research underscores the importance of flexible regulatory frameworks that encourage R&D investment, leading to innovation and competitive advantages in the healthcare sector.

Implications of the health information pollution for society, health professionals, and science

In the era of ultra-connectivity, the proliferation of speculative notions driven by personal emotions eclipses the credibility of scientific evidence. This trend has led to an alarming surge in information pollution, particularly by the pervasive influence of social media platforms. Consequently, this overflow of falsehoods poses a significant threat to public health and overall societal well-being. In this sense, this critical review aims to present the harmful impacts of the health information pollution on society, health professionals, and health science, as well as strategies for their mitigation. The management of information pollution requires coordinated efforts to develop and implement multiple effective preventive and debunking strategies, such as the regulation of big tech companies' actions and algorithm data transparency, the education of health professionals on responsible social media use, and the establishment of a novel academic culture, shifting from the valorization of productivism to socially relevant scientific production. By acknowledging the complexities of this contemporary issue and drawing insights from distinct perspectives, it is possible to safeguard the integrity of information dissemination and foster a more informed and resilient community.

How can equity, diversity, and inclusion (EDI) principles be incorporated into research excellence with industry and community partners? Lessons learned from Canada and Australia on projects with a dementia focus

BACKGROUND

The rapid advancement of gerontechnology, technologies for older adults, needs a collaboration that integrates the efforts of researchers, industry and community partners. Multisector collaboration fosters a holistic view of technologies, merging industry expertise, academic rigour, and the lived experiences of older adults and caregivers. This paper explores the role of Equity, Diversity, and Inclusion (EDI) perspectives in Patient and Public Involvement (PPI).

METHODS

We present two case studies from Canada and Australia. Study One involves a dementia television project, and Study Two is an innovative rural dementia care project. Data sources included transcripts of the case studies' focus groups, research meeting notes, and associated study publications between 2021 and 2023 and 2016-2024, respectively. Utilizing Rolfe's reflective model, we reflected on lessons learned regarding challenges, strategies, and their implications for future research. Our analysis focused on two questions: (1) What were the common challenges of partnering with industry and PPI in the research process? And (2) How can EDI be applied to help overcome those challenges?

RESULTS

Thematic analysis identified five common themes of challenges and ten practical strategies. The challenges are (1) experiential bias, (2) underrepresentation, (3) communication gaps, (4) mistrust and (5) power dynamics. Based on the lessons learned, we identified ten practical strategies using EDI principles: (1) seek diverse representation, (2) establish transparent agreements, (3) adopt inclusive language and cultural sensitivity, (4) apply flexibility to learn and adapt, (5) embed team reflection (6) take time to build trust and relationships, (7) facilitate meaningful engagement, (8) provide equitable recognition and opportunity, (9) foster a respectful environment for knowledge transfer, and (10) cultivate a long-term sustained relationship.

CONCLUSION

The older population is diverse, and their needs are complex. EDI considerations contribute to fostering research excellence and maximizing the potential of PPI to develop technologies to improve aging experiences that truly meet the diverse needs of older adults for societal impact. Multisector collaboration requires clear communication and intentional efforts to build trust. EDI considerations should be embedded at every stage of the research process. This paper outlines common challenges, strategies, and implications as practical tips for future research and practice.

Transforming landscapes: Decoding the impact of universities on urbanization using advanced modeling and perception analysis

Universities play a crucial role in urban economic and structural development. The government of Bangladesh has undertaken the initiative to establish a public university in each of the 64 districts. These newly founded universities have the potential to impact urban growth significantly. We aimed to project university-induced urban expansion to address this knowledge gap and identify the mechanisms driving urban growth. The classification of supervised and unsupervised methods was employed to analyze urban development for the years 2000, 2010, 2016, and 2022. We used the Cellular Automata and Markov Chain approach to forecast future urban growth and land transition capacity. Additionally, the driving factors and selection of the study area were derived from Focus Group Discussions (FGD), Key Informant Interviews (KII), Probit Model, and Perception Index (PI). The findings of this study reveal a 1.6% urban growth rate within ten years of the establishment of the university, while urban expansion accelerated to 29.78% after ten years. The predictions also indicate a sustained urban growth rate of 4.7% by 2042. Furthermore, the PI index demonstrates that the establishment of the university has resulted in high demand for rental housing, serving as one of the primary drivers of urban expansion. Moreover, the Probit model highlights strong economic capability, proximity to the town, railway station, hospital, and easy access to credit as vital facilitators behind the drivers of urban expansion. Policymakers, the scientific community, and urban planners can benefit from this study in pursuing sustainable city development through university establishment.

Maximizing the Impact and ROI of Leadership Development: A Theory- and Evidence-Informed Framework

Globally, organizations invest an estimated USD 60 billion annually in leadership development; however, the workplace application of learning is typically low, and many programs underperform or fail, resulting in wasted time and money and potential harm. This article presents a novel theory- and evidence-informed framework to maximize the outcomes and return on investment (ROI) of leadership development programs. The foundation of the framework derives from four separate literature reviews: three systematic reviews on leadership development, including the only two to isolate gold-standard elements of effective design, delivery, and evaluation, and one on "training transfer". Informed by innovative principles of leadership development and unique theoretical models and frameworks, this framework consists of 65 evidence-informed strategies that can be applied as a foundation (9), and before (23), during (17), at the conclusion of (11), and sometime after (5), programs, to maximize impact and ROI. Implications for practice and further research are also presented. Given the stakes, there is an urgent need for evidence and tools to maximize the impact and ROI of leadership development. This novel framework provides robust theory- and evidence-informed guidance for governments, policymakers, and those funding, designing, delivering, and supporting development.

Anticipatory evaluation. How to incorporate an anticipatory technique into a theory-driven evaluation process. Results of application in a case study

In recent years, there has been increased focus on strategic learning from impact analysis, including in the field of science, technology, and innovation. In this paper, we propose combining techniques from two fields of study. Firstly, we adopt the approach of addressing impact through productive interactions between science and society, and secondly, we incorporate an anticipatory dimension by integrating game analysis involving key actors. Through a theory-driven evaluation design, we consider expected impacts as promises of the future. Within an anticipatory perspective, the future can be shaped by the interactions among different actors in the present. In this article, we apply this approach step-by-step to a research institute program in Uruguay. We demonstrate how the achieved results offer strategic insights to the program manager for anticipating and attaining the desired impacts. Additionally, we provide summative inputs for accountability using a flexible technique applicable at any stage of the program life cycle. The article concludes with a discussion of the advantages and disadvantages compared to other techniques, along with lessons learned that may benefit other evaluators seeking to replicate this approach. Furthermore, we explore potential extensions and opportunities for further improvement in this research.

Research trends on forensic entomology for five decades worldwide

Forensic entomology, the study of insects and arthropods in criminal investigations, is crucial for estimating postmortem intervals, determining changes in corpse positioning, and identifying causes of death. This study analyzes global research trends in forensic entomology using data from the Scopus database spanning 1970 to 2024, with data visualized through VOSviewer. A total of 2,261 articles were identified, with an average productivity of 42 papers per year. The leading countries in forensic entomology research are the United States (n = 444), Brazil (n = 266), China (n = 198), the United Kingdom (n = 194), and Germany (n = 156). Current hot topics in the field include pupae, feeding behavior, beetles, and genetics. These findings underscore the ongoing interest and advancements in forensic entomology, highlighting its significance and diverse applications in criminal investigations.

Examining the Complex Interaction Among Technological Innovation, Company Performance, and Occupational Safety and Health: A Mixed-Methods Study

Technological innovation and Industry 5.0 are gaining increasing attention among researchers as they offer companies a significant competitive advantage. On the other hand, introducing these technologies also brings new risks for workers. The current literature reveals a lack of studies that effectively integrate occupational safety and health (OSH) within this emerging technological context and analyse the impacts of their use. This study aims to explore how companies interact with macro-level interventions that promote technological innovation and to understand their impact on different dimensions of company performance, including aspects related to OSH. Based on the existing literature, a research framework is presented that identifies the stakeholders involved, the inputs facilitating their interaction, and the cascading effects and changes. A mixed-methods approach was adopted by employing an in-depth survey with 89 companies responding and composed of both open-ended questions, to capture rich, qualitative insights, and multiple-choice questions, to gather quantifiable data. Two change levels have been identified: general changes and specific changes related to OSH. The analysis also delved into the main drivers and barriers that lead companies to engage with technological improvements and the multiple changes these interventions generate across company dimensions.

Can big data reduce urban environmental pollution? Evidence from China's digital technology experimental zone

This paper investigates the impact of the digital economy on urban environmental pollution by analyzing panel data from 283 prefecture-level cities in China from 2011 to 2019 and using the digital technology comprehensive pilot zone of China as a natural experiment. The results demonstrate that digital technology has a significant effect in reducing pollutant emissions and empowering urban environmental governance. The findings are proven to be robust based on various tests, including parallel trend, PSM-DID, and placebo tests. Our analysis further shows that digital technology is particularly effective in controlling pollution in old industrial areas, high digital areas, and low energy efficiency areas. We also find that the national digital technology integrated pilot zone can mitigate environmental pollution in prefecture-level cities by increasing public environmental awareness and encouraging green technology innovation. Moreover, our research indicates that digital technology-enabled urban pollution control can contribute to the formation of a new urbanization pattern in China. These findings provide valuable insights for promoting the digital economy and achieving the goal of carbon reduction in China.

Prospective ergonomics for the design of future things

This position paper gives an overview of the field of Prospective Ergonomics (PE) for the design of future products, services, processes, and systems. It presents its definition, links with innovation, characteristics, origin, history, goal, supports, and methods to help people imagine the future. In recent years, PE has been rediscovered, actualised and repositioned to give it greater scope and visibility, and stimulate research, training and professional practice in ergonomics for the design of future things. PE is an ergonomic intervention mode, on a par with Corrective ergonomics and Design ergonomics, upstream of design projects, where the ergonomist is proactive in anticipating or constructing future user needs and in creating future artefacts. PE is supported by four main fields of study: Ergonomics, Prospective, Future-Oriented Cognition, and Creativity, which ensures it is guided by three key principles: human-centred, future-oriented, and focused on creativity for innovation. PE expands the scope of ergonomics by going beyond the design of interactions with artefacts and including the creation of these artefacts in the first place. This has major impacts on research, training, and professional practice in ergonomics because we need new knowledge to work efficiently on the future, training should be enhanced in prospective, innovation, and new product development, and the professional practice is enriched by a new set of activities. In the conclusion we propose future research directions to pursue the development of PE.

Serve Yourself or Serve Your Students? How and When Supervisor Narcissism is Related to Mental Health of Graduate Students

Background

The mental health of graduate students is increasingly turning into one of the main issues in global health. Understanding the antecedents of graduate students' mental health and finding ways to improve the situation are crucial for the students and the entire educational system.

Purpose

This study explores the relationship between supervisor narcissism and graduate students' mental health. Additionally, the study examines the mediating effects of mentorship styles (relationship-oriented and task-oriented) and the moderating role of student's proactive personality.

Methods

This study conducted a three-wave survey, with each wave administered at four-month intervals, involving 547 graduate students. They completed questionnaires on supervisor narcissism, mentorship styles, proactive personality, and mental health. SPSS 26.0 was used to test our hypotheses.

Results

This study indicated that: (1) Supervisor narcissism was negatively associated with graduate students' mental health, fully mediated by relationship-oriented and task-oriented mentorships; (2) Graduate students' proactive personalities moderated the relationship between these mentorship styles and their mental health; (3) Graduate students' proactive personalities moderated the indirect effect of supervisor narcissism on students' mental health through these mentorship styles.

Conclusion

This study reveals the detrimental mechanisms through which supervisor narcissism affects graduate students' mental health. It also demonstrates that enhancing students' proactive personalities can mitigate these adverse effects. These findings provide empirical evidence within the context of higher education. Practical implications are provided for supervisors, students, and university administrators, emphasizing the importance of effectively matching supervisors with students and promoting students' proactive personalities. These measures are essential for improving the mental health of graduate students.

How important is the scientific knowledge gap between leading research and producing countries of lithium?

Abstract: The strong increase in global demand for lithium, driven by the ion battery market and the use of this non-metallic mineral in various economic sectors such as mining (as a non-metallic and non-renewable mineral), health, technology, and geopolitical issues, has fueled the development of disruptive innovation, with new products linked to knowledge creation. These developments have included, among other things, the use of new processing techniques, the creation of new high-capacity cathode materials, the investigation of new sources of lithium, and increased recycling of lithium-ion batteries. This article's primary goal is to assess how this knowledge gap is related with innovation issues using the analysis of the scholar as a case study. Additionally, the examination of public policy related to the lithium business will be continued and updated in this publication. This study uses computerized bibliometric analysis based on the R program and Biblioshiny, a web interface for Bibliometrix analysis. One of the earliest studies to examine the discrepancy between lithium production and consumption based on innovation is this one. The research's contribution is to highlight the disparities and gaps in knowledge generation between producer and consumer countries, which creates a great opportunity to develop better public policies that use existing knowledge and promote collaborations between mining and technology companies for the development of a more sustainable, efficient, effective and competitive industry with future societies.

Collaborative management of environmental pollution and carbon emissions drives local green growth: An analysis based on spatial effects

Collaborative management of environmental pollution and carbon emissions (CMPC) has been a major policy instrument to promote Sustainable Development Goals (SDG) in recent years. However, the relationship between the benefits and drawbacks of this environmental management practice for green growth in and around a local area remains to be clarified. Using 30 provinces in China during 2001-2019 as the object of analysis, we assessed the efficiency of local CMPC practices using the nonradial directional distance function (NDDF) model, predicted local green growth using the frontier green complexity index (GCI), and empirically examined the spatial effects, locational heterogeneity, and threshold characteristics of the relationship using the spatial Durbin model and the panel threshold model. Our study finds that although efficient CMPC does drive local green growth, the promotion effect is nonlinear with decreasing marginal effect. This effect is particularly obvious in economically developed regions with higher CMPCs, which will absorb resources from neighboring regions and create a "siphoning" effect. It was found that local financial support and foreign direct investment (FDI) can radiate green growth to neighboring regions; therefore, CMPC practice needs to pay more attention to the effect of joint governance, supplemented by financial and foreign investment policy tools, to better promote the green transformation of local economy.

Exploring the entrepreneurial landscape of university-industry collaboration on public university spin-off creation: A systematic literature review

Research into the factors influencing university-industry collaboration on public university spin-offs creation has focused on management, entrepreneurship, technology and innovation. This research began with a careful systematic literature review of 4427 scientific papers published in the last ten years (2014-2023) and accessible in the prestigious Web of Science core collection. A quantitative methodology was used, complemented by the use of the visual analysis tool Posit PBC™, formerly known as R Cloud Studio. This comprehensive approach facilitated the seamless ingestion of raw data into Biblioshyni, which is a web-based platform specialised in bibliometric analysis. This review has revealed compelling trends, particularly in terms of increasing diversity, the emergence of United Kingdom as a major player, and the central role of university-industry collaboration. Our systematic review identified influential authors in the field, including the prolific contributions of scholars such as D. Radicid, S. Ropers, Y. Li and R. Owen. We also identified important research institutions, such as Utrecht University in Netherlands, Lund University in Sweden and The University of Manchester in the UK. In addition, we have shown that countries such as the United Kingdom, China and USA have made a significant contribution to the volume of publications. The results highlighted a marked increase in the phenomenon of univeristy spin-offs over the past decade, as evidenced by the exponential growth in both publication output and citation rates. This empirical revelation was underpinned by a rigorous exploration of the Web of Science database, using a carefully crafted set of keywords. Thirty-seven pivotal studies were selected for in-depth review through a sophisticated selection process that adhered to the rigorous standards of the PRISMA methodology. The aim of this review is to improve understanding and encourage deeper exploration of spin-off-based public universities through collaboration between academia and industry.

Advancements in enzymatic reaction-mediated microbial transformation

Enzymatic reaction-mediated microbial transformation has emerged as a promising technology with significant potential in various industries. These technologies offer the ability to produce enzymes on a large scale, optimize their functionality, and enable sustainable production processes. By utilizing microbial hosts and manipulating their genetic makeup, enzymes can be synthesized efficiently and tailored to meet specific industrial requirements. This leads to enhanced enzyme performance and selectivity, facilitating the development of novel processes and the production of valuable compounds. Moreover, microbial transformation and biosynthesis offer sustainable alternatives to traditional chemical methods, reducing environmental impact and promoting greener production practices. Microbial transformations enrich drug candidate diversity and enhance active ingredient potency, benefiting the pharmaceutical industry. Continued advancements in genetic engineering and bioprocess optimization drive further innovation and application development in Enzymatic reaction-mediated microbial transformation. The integration of AI for predicting enzymatic reactions and optimizing pathways marks a promising direction for future research. In summary, these technologies have the potential to revolutionize several industries by providing cost-effective, sustainable solutions.

Urban heat transitions policy; Zooming in on Dutch natural gas-free neighbourhoods

Heating transitions, where residential and industrial heating demand transitions away from fossil fuels, are an essential part of sustainability transitions. Thus far, the focus on heating transitions is neglected in policy studies, even though policy interventions are not only understood as essential, but also difficult to implement. In this article we seek to understand how policy can support the heating transition in countries with high distribution of natural gas in household consumption. By aligning transition typologies, consisting of a discussion of transition paths and innovation frames, with policy intervention points to existing literature on policy studies of heating transitions, we identify lessons learned and factors necessary for rapid heating transitions. This allows us to understand which type of transition is best stimulated through which intervention point. We then applied this framework to the Dutch natural gas phase out package, to test and validate the framework, as well as identify policy gaps and failures for the Dutch context. Here we were able to highlight important policy gaps and identified potential failures for policy effectiveness. This framework may be used in future studies and by policymakers to understand policy gaps and potential failures, supporting the (re)design of policy packages.

Investigating the links between questionable research practices, scientific norms and organisational culture

BACKGROUND

This study investigates the determinants of engagement in questionable research practices (QRPs), focusing on both individual-level factors (such as scholarly field, commitment to scientific norms, gender, contract type, and career stage) and institution-level factors (including industry type, researchers' perceptions of their research culture, and awareness of institutional policies on research integrity).

METHODS

Using a multi-level modelling approach, we analyse data from an international survey of researchers working across disciplinary fields to estimate the effect of these factors on QRP engagement.

RESULTS

Our findings indicate that contract type, career stage, academic field, adherence to scientific norms and gender significantly predict QRP engagement. At the institution level, factors such as being outside of a collegial culture and experiencing harmful publication pressure, and the presence of safeguards against integrity breaches have small associations. Only a minimal amount of variance in QRP engagement is attributable to differences between institutions and countries.

CONCLUSIONS

We discuss the implications of these findings for developing effective interventions to reduce QRPs, highlighting the importance of addressing both individual and institutional factors in efforts to foster research integrity.

Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis

Flooding is a global threat causing significant economic and environmental damage, necessitating a policy response and collaborative strategy. This study assessed global research trends and advances in geospatial and meteorological flood risk assessment (G_MFRA), considering the ongoing debate on flood risk management and adaptation strategies. A total of 1872 original articles were downloaded in BibTex format using the Web of Science (WOS) and Scopus databases to retrieve G_MFRA studies published from 1985 to 2023. The annual growth rate of 15.48% implies that the field of G_MFRA has been increasing over time during the study period. The analysis of global trends in flood risk research and practice highlights the key themes, methodologies, and emerging directions. There exists a notable gap in data and methodologies for flood risk assessment studies between developed and developing countries, particularly in Africa and South America, highlighting the urgency of coordinated research efforts and cohesive policy actions. The challenges identified in the body of extant literature include technical expertise, complex communication networks, and resource constraints associated with the application gaps of the study methodologies. This study advocates for a holistic research approach to flood disaster management through ecosystem-based adaptation that underpins the Sustainable Development Goals to develop innovative flood techniques and models with the potential to influence global decision-making in the G_MFRA domain. Addressing these global challenges requires a networked partnership between the research community, institutions, and countries.

Quantifying the use and potential benefits of artificial intelligence in scientific research

The rapid advancement of artificial intelligence (AI) is poised to reshape almost every line of work. Despite enormous efforts devoted to understanding AI's economic impacts, we lack a systematic understanding of the benefits to scientific research associated with the use of AI. Here we develop a measurement framework to estimate the direct use of AI and associated benefits in science. We find that the use and benefits of AI appear widespread throughout the sciences, growing especially rapidly since 2015. However, there is a substantial gap between AI education and its application in research, highlighting a misalignment between AI expertise supply and demand. Our analysis also reveals demographic disparities, with disciplines with higher proportions of women or Black scientists reaping fewer benefits from AI, potentially exacerbating existing inequalities in science. These findings have implications for the equity and sustainability of the research enterprise, especially as the integration of AI with science continues to deepen.

PubMed captures more fine-grained bibliographic data on scientific commentary than Web of Science: a comparative analysis

BACKGROUND

Research commentaries have the potential for evidence appraisal in emphasising, correcting, shaping and disseminating scientific knowledge.

OBJECTIVES

To identify the appropriate bibliographic source for capturing commentary information, this study compares comment data in PubMed and Web of Science (WoS) to assess their applicability in evidence appraisal.

METHODS

Using COVID-19 as a case study, with over 27 k COVID-19 papers in PubMed as a baseline, we designed a comparative analysis for commented-commenting relations in two databases from the same dataset pool, making a fair and reliable comparison. We constructed comment networks for each database for network structural analysis and compared the characteristics of commentary materials and commented papers from various facets.

RESULTS

For network comparison, PubMed surpasses WoS with more closed feedback loops, reaching a deeper six-level network compared with WoS' four levels, making PubMed well-suited for evidence appraisal through argument mining. PubMed excels in identifying specialised comments, displaying significantly lower author count (mean, 3.59) and page count (mean, 1.86) than WoS (authors, 4.31, 95% CI of difference of two means = [0.66, 0.79], p<0.001; pages, 2.80, 95% CI of difference of two means = [0.87, 1.01], p<0.001), attributed to PubMed's CICO comment identification algorithm. Commented papers in PubMed also demonstrate higher citations and stronger sentiments, especially significantly elevated disputed rates (PubMed, 24.54%; WoS, 18.8%; baseline, 8.3%; all p<0.0001). Additionally, commented papers in both sources exhibit superior network centrality metrics compared with WoS-only counterparts.

CONCLUSION

Considering the impact and controversy of commented works, the accuracy of comments and the depth of network interactions, PubMed potentially serves as a valuable resource in evidence appraisal and detection of controversial issues compared with WoS.

Lifestyle behaviors and mental health outcomes in sexual and gender minority graduate students

OBJECTIVE

There are well-documented health disparities among sexual and/or gender minority (LGBTQ+) individuals generally, but there is limited research investigating the disparities in health-related lifestyle factors and mental health among LGBTQ+ graduate students, which is a group that may be especially vulnerable.

PARTICIPANTS

This project was a secondary analysis of data from the American College Health Association's National College Health Assessment's (NCHA) Fall 2019 wave, which included 7,766 graduate students.

METHODS

Students self-reported engagement in health-related lifestyle factors and psychological distress. Welch's independent samples t-tests were used to compare differences in psychological distress and lifestyle behaviors and multiple linear regression models were used to test lifestyle factors as predictors of LGBTQ+ psychological distress.

RESULTS

LGBTQ+ graduate students reported worse lifestyle profiles compared to their peers and greater psychological distress. Sleep quality had the strongest association with psychological distress among LGBTQ+ graduate students.

CONCLUSIONS

These findings have important implications for policies and interventions to improve health and decrease suffering in LGBTQ+ graduate students.

The Role of Language in Remote Healthcare Triage: A Meta-Aggregative Review

AIM(S)

To provide an overview of evidence on the role of language in remote healthcare services prioritisation, from now on termed triage. This study synthesises literature, to better understand how language affects triage interactions, aiming to improve these processes.

DESIGN

We conducted a meta-aggregative review.

METHODS

A systematic search in Scopus from inception to September 2023 identified 437 studies on language in remote healthcare triage, of which 23 were included. Information was selected using both inductive and deductive coding, focusing on six linguistic features of interaction that have been described in the literature on studies using conversation analysis: turn-taking organisation, overall structure, sequence organisation, turn design, lexical choice, and epistemological and other forms of asymmetry. The process followed the RAMESES Publication Standards for Meta-narrative Reviews.

RESULTS

Two main findings emerged. First, all six linguistic features are present in triage conversations, indicating that language involves more than just what is said. It also matters, for example, how and when a question is asked. Second, computerised decision support systems (CDSS) significantly affect conversation flow and dynamics.

CONCLUSION

Language in triage involves more than literal speech and is heavily influenced by CDSS.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Our study suggests that quality assessments of triage conversations should consider not only what is said but cover all relevant aspects of language. The influence of computerised decision support systems (CDSS) on linguistic features highlights the need for systems to be adaptable, to improve conversation quality and better addressing caller needs rather than focusing on one-size-fits-all questions.

IMPACT

This review highlights the complex role of language in triage conversations and its impact on interaction. It calls for a broader view of language in quality assessments, recognising that both call-takers and callers contribute to call quality. Insights from this review can help developers enhance question types, sequence, and delivery methods of computerised decision support systems. Finally, education for call-takers in healthcare sectors may be improved based on our findings.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Evaluating and optimizing environmental tax, carbon trading scheme and renewable portfolio standard in China: An E-DSGE model

In the pursuit of multifaceted objectives encompassing energy, environment, and climate considerations, a prevalent phenomenon across various nations is the simultaneous implementation of diverse policies. These policies may exhibit synergies that mutually reinforce each other, while also entailing the risk of policy failure. This study constructs an environmental dynamic stochastic general equilibrium (E-DSGE) model to evaluate and optimize the policy mix in China, incorporating the environmental tax (APT), carbon emission trading scheme (CET), and renewable portfolio standard (RPS). Regarding policy evaluation, we observe that (1) the effective range of both CET and RPS decreases with the increasing intensity of other policies; for instance, with RPS at 18% and APT at 3 CNY/kg, the CO2 emission cap must be below 93.56%; (2) all three policies exhibit automatic stabilizer functions, and policy failure weakens their stabilizing effects, resulting in a reduction in welfare. Concerning policy optimization, we observe that (1) from a static perspective, the optimal tax rate is 32.68 CNY/kg, the optimal CO2 emission cap is 66.62%, and the optimal renewable energy proportion is 62.4%; (2) from a dynamic perspective, the optimal tax rate, quantity of CO2 quota (or CO2 emission cap), and renewable energy proportion all exhibits pro-cyclical patterns.

Can green finance policy promote green innovation in cities? Evidence from pilot zones for green finance reform and innovation in China

As a green finance policy, the establishment of pilot zones for green finance reform and innovation (PZGFRI) is of crucial importance to green innovation. This study employs panel data at the city level from 2011 to 2019 to explore the impact of the PZGFRI policy on green innovation in cities by constructing the Difference-in-Differences model. The results indicate that the PZGFRI policy significantly improves overall green innovation in cities. We test the mechanisms at the city level and find that the PZGFRI policy achieves green innovation improvement by improving capital support and research and development input, and this effect could be weakened when pollution intensity in cities is high. There is heterogeneity in different regions, cities of different economic development levels, and environmental regulation strength in the green innovation improving effects. These results suggest that the government should continue to promote the development of green finance and increase regulatory efforts to realize the enhancement of green innovation. This study can not only provide the Chinese government with more focused suggestions on green finance development of macro-policies but also give important references for other developing countries on green finance development.

The impact of patent infringement litigation decisions on firms' innovation performance in China

The judiciary protects the value of innovation through remedies such as injunctions and damages when patent rights are infringed, adjusting the expected returns on future innovation activities for firms. Based on data from 1,062 Chinese firms involved in Patent Infringement Litigations (PILs), this study uses three-way fixed-effects Poisson panel regression models to examine the dynamic impacts of a PIL win-or-lose decision on breakthrough and incremental innovation performance for plaintiff and defendant firms. The study finds that plaintiff micro and small-sized enterprises (MSEs) can only engage in short-term breakthrough innovation after winning a PIL. Plaintiff medium and large-sized enterprises (MLEs) tend to adopt the patent defence strategy after winning, while losing a case positively impacts their breakthrough and incremental innovation. Defendant firms adopt the strategy from incremental innovation to breakthrough innovation after winning, while losing inhibits their innovation. The current Chinese patent system has an imbalance in incentivizing innovation for MSEs. Whether winning or losing, defendant MSEs participating in litigation significantly inhibit their innovation performance at different levels. This paper provides a multidimensional angle for studying the relationship between patent protection and corporate innovation.

STEP-organizing a major project to tackle significant uncertainty

This article describes why Spherical Tokamak for Energy Production (STEP) has been launched, what it aims to achieve (benefits) and, principally, how the whole programme will be delivered (strategy). The article draws on the work of major project delivery and organization design (OD) and applies this to the context of STEP, which is dominated by significant uncertainty in all dimensions (technical, financial, commercial and programmatic), where there is embryonic delivery capability, but where there are also global-scale opportunities. This leads to an approach based on securing and organizing the correct capability from both public and private sectors to work in a collaborative arrangement with a single purpose and, critically, in an operating model designed to manage uncertainty and emerging risks and to exploit opportunities. Placing adaptability at the core of the OD, particularly the ability to deliver emergent strategy through guided empowerment in pursuit of an ambitious aim, is a further development beyond much of the current thinking in major projects. The article concludes with an appendix that translates that programme approach into principles for managing the engineering design work.This article is part of the theme issue 'Delivering Fusion Energy - The Spherical Tokamak for Energy Production (STEP)'.

The supervisory relationship as a predictor of mental health outcomes in doctoral students in the United Kingdom

Introduction

The process of a doctorate degree has been implicated in the onset and exacerbation of mental health problems among doctoral students. Previous studies have suggested that the student-supervisor relationship may predict emotional wellbeing and mental health outcomes in doctoral students in the UK. However, these studies were conducted before the COVID-19 pandemic and often used unstandardized measures to investigate supervisory styles.

Methods

The present study was part of the Better Together project, a wellbeing initiative for doctoral students in the UK. It explored the predictive ability of aspects of the student-supervisor relationship with regards to doctoral students' mental health outcomes. The sample consisted of 141 students doing a research-based doctorate degree in the UK. The survey included demographic questions and questionnaires assessing supervisory styles, the discrepancy between actual and preferred supervisory relationship, depression, anxiety, and stress.

Results

A large proportion of participants fell in the severe and extremely severe categories in the depression, anxiety, and stress sub-scales. Multiple regression analyses indicated that both supervisory styles and discrepancy significantly predicted students' mental health outcomes. More specifically, higher scores in the uncertain supervisory style, which is characterized by indecisiveness and ambiguity, were linked with higher scores in depression, anxiety, and stress.

Discussion

The findings provided new insights concerning the aspects of the student-supervisor relationship that are related to the mental health issues of doctoral students in the UK. They have important implications for future research and supervision practice.

Does the use of unusual combinations of datasets contribute to greater scientific impact?

Scientific datasets play a crucial role in contemporary data-driven research, as they allow for the progress of science by facilitating the discovery of new patterns and phenomena. This mounting demand for empirical research raises important questions on how strategic data utilization in research projects can stimulate scientific advancement. In this study, we examine the hypothesis inspired by the recombination theory, which suggests that innovative combinations of existing knowledge, including the use of unusual combinations of datasets, can lead to high-impact discoveries. Focusing on social science, we investigate the scientific outcomes of such atypical data combinations in more than 30,000 publications that leverage over 5,000 datasets curated within one of the largest social science databases, Interuniversity Consortium for Political and Social Research. This study offers four important insights. First, combining datasets, particularly those infrequently paired, significantly contributes to both scientific and broader impacts (e.g., dissemination to the general public). Second, infrequently paired datasets maintain a strong association with citation even after controlling for the atypicality of dataset topics. In contrast, the atypicality of dataset topics has a much smaller positive impact on citation counts. Third, smaller and less experienced research teams tend to use atypical combinations of datasets in research more frequently than their larger and more experienced counterparts. Last, despite the benefits of data combination, papers that amalgamate data remain infrequent. This finding suggests that the unconventional combination of datasets is an underutilized but powerful strategy correlated with the scientific impact and broader dissemination of scientific discoveries.

Racial Biases Associated With Pulse Oximetry: Longitudinal Social Network Analysis of Social Media Advocacy Impact

BACKGROUND

Pulse oximetry is a noninvasive method widely used in critical care and various clinical settings to monitor blood oxygen saturation. During the COVID-19 pandemic, its application for at-home oxygen saturation monitoring became prevalent. Further investigations found that pulse oximetry devices show decreased accuracy when used on individuals with darker skin tones. This study aimed to investigate the influence of X (previously known as Twitter) on the dissemination of information and the extent to which it raised health care sector awareness regarding racial disparities in pulse oximetry.

OBJECTIVE

This study aimed to explore the impact of social media, specifically X, on increasing awareness of racial disparities in the accuracy of pulse oximetry and to map this analysis against the evolution of published literature on this topic.

METHODS

We used social network analysis drawing upon Network Overview Discovery and Exploration for Excel Pro (NodeXL Pro; Social Media Research Foundation) to examine the impact of X conversations concerning pulse oximetry devices. Searches were conducted using the Twitter Academic Track application programming interface (as it was known then). These searches were performed each year (January to December) from 2012 to 2022 to cover 11 years with up to 52,052 users, generating 188,051 posts. We identified the nature of influencers in this field and monitored the temporal dissemination of information about social events and regulatory changes. Furthermore, our social media analysis was mapped against the evolution of published literature on this topic, which we located using PubMed.

RESULTS

Conversations on X increased health care awareness of racial bias in pulse oximetry. They also facilitated the rapid dissemination of information, attaining a substantial audience within a compressed time frame, which may have impacted regulatory action announced concerning the investigation of racial biases in pulse oximetry. This increased awareness led to a surge in scientific research on the subject, highlighting a growing recognition of the necessity to understand and address these disparities in medical technology and its usage.

CONCLUSIONS

Social media platforms such as X enabled researchers, health experts, patients, and the public to rapidly share information, increasing awareness of potential racial bias. These platforms also helped connect individuals interested in these topics and facilitated discussions that spurred further research. Our research provides a basis for understanding the role of X and other social media platforms in spreading health-related information about potential biases in medical devices such as pulse oximeters.

Environmental regulations and firms' trade-offs between innovations: Empirical evidence from the quasi-experiment in China

This paper uses firm-level panel data to study the quasi-experiment of China's low carbon city (LCC) pilots and to estimate the dynamic impact of environmental regulations on firms' trade-offs between green innovation and digital innovation. The results indicate that environmental regulations lead to an increase in firms' green innovation in the short run and promote firms' digital transformation in the long run. Moreover, the key factors influencing firms' trade-offs are their size and the pollution levels of their primary businesses, highlighting the importance of both capability and immediacy for firms when making decisions. Furthermore, the event study shows that environmental regulations initially impact firms' profits in heavily polluting industries in the short run. However, environmental regulations can gradually enhance those profits in the long run by reducing marginal costs and upgrading industrial structures in treated regions. This paper provides insights for a deeper understanding of firms' heterogeneous choices and dynamic effects of innovation behaviors.

Why high-speed rail causes heterogeneous spatial patterns in firm innovation: Perspectives from intensive and extensive margins

This study examines the impact of high-speed rail (HSR) on corporate innovation in China, analyzing county-level patent applications. Utilizing difference-in-differences regression, we break down the overall impact of HSR connectivity on innovation into two categories: extensive margins, where a greater number of firms become innovative, and intensive margins, where individual firms increase their level of innovation. HSR access has increased patent applications, particularly in manufacturing and non-high-tech services, affecting both margins. However, in high-tech services, the impact is significant only on the extensive margin. Effects vary between urban areas and peripheral counties, with knowledge spillovers and brain drain as key predictors.

Internal Drive or External Pull: Independent Innovation and Sustainable Growth of Chinese Agricultural Enterprises

The independent innovation of agricultural enterprises ensures national food security through enhancing food production efficiency and optimizing food nutritional quality. Independent innovation is an important way for the sustainable growth of agricultural enterprises. However, in this process, there are issues such as long cycles and high risks. Based on this, using the panel data of China's listed agricultural enterprises from 2007 to 2021, this study empirically examined the impact of independent innovation on the sustainable growth of agricultural enterprises, as well as the moderating effects of internal drivers (digital transformation) and external pull factors (government subsidies) through a two-way fixed effects model. The findings are the following: (1) The impact of independent innovation on the sustainable growth of agricultural enterprises exhibits an "inverted U-pattern". When the R&D investment of agricultural enterprises accounts for 77.85% of operating income, the sustainable growth ability of agricultural enterprises is the highest. (2) Compared with large agricultural enterprises, small and medium-sized agricultural enterprises reach the threshold of independent innovation ability later, and the incentive effect range of independent innovation is longer. (3) Independent innovation exerts a more significant "inverted U" effect on the sustainable growth of non-state-owned agricultural enterprises and agricultural enterprises in the mature stage, while its impact on the sustainable growth of state-owned agricultural enterprises and agricultural enterprises in the growth and decline stages is not significant. (4) Government subsidies can help enhance the positive impact of independent innovation on the sustainable growth of agricultural enterprises when it does not exceed the threshold but cannot alleviate the negative impact of independent innovation on the sustainable growth of agricultural enterprises when it exceeds the threshold; investment in digital transformation not only helps to enhance the positive impact of independent innovation on the sustainable growth of agricultural enterprises when it does not exceed the threshold but also helps to alleviate the negative impact of independent innovation on the sustainable growth of agricultural enterprises when it exceeds the threshold. The research results provide data support for agricultural enterprises to carry out innovation activities under internal drive and external pull. At the same time, it is of great significance for the national implementation of the strategy of storing food in technology and food security strategy.

The most influential publications in oral and maxillofacial surgery over the past decade

OBJECTIVE

Reliable metrics are needed to measure the impact of academic publications in order to fully understand and evaluate the contributions of articles published in the field of oral and maxillofacial surgery(OMFS). The aim was to identify and analyze the top 100 articles each year, with the highest Field-Weighted Citation Impact(FWCI) and citation counts, in the field of OMFS over the past decade, totaling 1,000 articles.

MATERIALS AND METHODS

The research was conducted on April 20, 2024, using the Scopus database. It identified the top 100 articles each year with the highest FWCI from the top six journals with the highest metric scores in OMFS, totaling 1,000 articles. The citation counts of these publications in Google Scholar were also recorded. The predictor variable was the articles. The primary outcome variable was the FWCI value, while the secondary outcome variable was the number of citations. The covariates were the journals in which the articles were published, the publication year, the type of document, the type of access policy, and the subject of the research.

RESULTS

There was a weak positive correlation between FWCI and citation count(rho = 0.083, P = .009). All covariates significantly affected FWCI(P < .005), while all but access policy significantly affected citation count(P = .167). The highest average FWCI(6.31 ± 5.51) was observed in the Journal of Stomatology, Oral and Maxillofacial Surgery(JSOMS), and the highest citation count was found in the Journal of Oral and Maxillofacial Surgery(JOMS)(61.5 ± 126.4). Orthognathic Surgery and Dentofacial Deformities were the scientific fields with the most publications(14 %). COVID-19 and Artificial Intelligence had the highest FWCI(8.65 ± 10.98 and 7.68 ± 6.42, respectively). MRONJ had the highest average citation count(88.6 ± 254).

CONCLUSION

This study demonstrates that using both FWCI and citation count metrics can more accurately assess the impact of academic publications in the field of OMFS. These findings can serve as a guide for future research and contribute to strategic decisions aimed at improving clinical practices and patient care.

Acceptability of innovative department community-based health insurance in central Mali: A mixed methods study

As the Universal Health Insurance Plan (RAMU) is gradually being implemented in Mali, community-based health insurance (CBHI) -considered one of the pillars of this programme- must innovate to meet the challenge of universal health coverage. An experimental CBHI was tested in central Mali between 2017 and 2021. This innovative CBHI professionalizes and organizes risk sharing on a larger scale than before, moving from municipalities to circles (departments). A mixed-method study was carried out in the Mopti region to assess the acceptability of this innovation among CBHI elected representatives. In April 2021, 118 questionnaires were administered to CBHI elected representatives, followed by 43 qualitative interviews from the same sample in October 2021. Sekhon et al. (2017) developed an approach outlining seven dimensions of acceptability (attitude, burden, values, coherence, opportunity costs, perceived efficiency, and personal effectiveness), which was used as a conceptual model for data analysis. The results obtained by factor analysis indicate that more than half of individuals (58%) reported above-average acceptability. Elected representatives feel well supported in their activities by the Technical Union of Malian Mutuality (TUM), the umbrella organisation of CBHI. They show some confidence in their ability to perform their duties effectively despite varying levels of commitment that often fall short of expectations and needs, which they justify by their volunteer status. Elected representatives note that the system is very effective despite the nonoptimal conditions linked to the prevailing insecurity. The new CBHI is highly advantageous for the population in terms of content, financial, and geographical access. Professionalisation is an unavoidable condition for the performance of the innovation, as well as the new community assembly. However, elected representatives are concerned about the sustainability of this CBHI and rely on the State and its partners to assume responsibility. The TUM will play an essential role in continuing its support and fulfiling its functions as a delegated management organisation within the framework of the RAMU.

How can local government capacity lift the 'resource curse'? A study from the perspective of industrial structure transformation

Industrial transformation is crucial for sustainable urban development and economic security. Although more studies have analyzed the relationship between resource endowment and urban industrial transformation, they have failed to include the key factor of local government capacity in the analysis. Based on the panel data from 267 cities in China from 2003 to 2018, the study examines the impact of resource endowment on industrial transformation and the role of local government capacity in it by using linear models and panel threshold models. This study finds that resource endowment promotes the development of the secondary industry in urban, but hinders the development of the tertiary industry. There is a moderating effect of local government capacity that mitigates the lock-in effect of resource endowment on industrial transformation. This moderating effect demonstrates heterogeneity among cities with different levels of resource endowment and geographic locations, and the results are robust. Furthermore, this study concludes that under different local government capacity, the moderating effect of local government capacity on the relationship between resource endowment and industrial transformation is nonlinear, and it also finds that the stronger local government capacity is not the better.

History, Hype, and Responsible Psychedelic Medicine: A Qualitative Study of Psychedelic Researchers

Background Psychedelic medicine is a rapidly growing area of research and policy change. Australia recently became the first country to legalize the prescription of psychedelics and serves as a case study of issues that may emerge in other jurisdictions. Despite their influence as a stakeholder group, there has been little empirical exploration of psychedelic researchers' views on the development of psychedelic research and the ethical concerns. Methods We thematically analysed fourteen interviews with Australian psychedelic researchers. Results Three themes were constructed from the data: 1) coming out of the shadow of the 1960s, 2) challenges and affordances in engaging stakeholders, and 3) growing pains in innovation and translation. Conclusion The results illustrated tensions arising from the rapid growth of psychedelic research from a small group of dedicated individuals with a similar worldview, to a multi-interest, regulated industry. Participants' experiences and viewpoints were influenced by the history of psychedelic research, and this was met with an overarching concern for protecting the field from premature discontinuation, as well as maximizing potential positive impacts. Targets for stakeholder collaboration and initiatives to support responsible innovation in psychedelics include equitable access, sustainable industry involvement, productive research agendas, responsible reporting of evidence, and risk-taking within the relative safety of clinical trials.

Cultural distance, gender and praise in peer review

Background: Understanding review comments holds significant importance within the realm of scientific discourse. This study aims to conduct an empirical analysis of factors associated with praise in peer review.Methods: The study involved manual labeling of "praise" in 952 review comments drawn from 301 articles published in the British Medical Journal, followed by regression analysis.Results: The study reveals that authors tend to receive longer praise when they share a cultural proximity with the reviewers. Additionally, it is observed that female reviewers are more inclined to provide praiseConclusions: In summary, these discoveries contribute valuable insights for the development of a constructive peer review process and the establishment of a more inclusive research culture.