Today,green and low-carbon development and technological innovation are mingling in what may emerge as the key narrative for human civilization.I was fortunate enough to have attended the 2024 Greater Bay Area(GBA)Sci...Today,green and low-carbon development and technological innovation are mingling in what may emerge as the key narrative for human civilization.I was fortunate enough to have attended the 2024 Greater Bay Area(GBA)Science Forum’s Green Energy Industry Innovation Sub-Forum and then the 2025 Zhongguancun Forum(ZGC Forum)Annual Conference.展开更多
With the rapid development of the economy and society,digital intelligence technology,as a technology that organically combines digitalization and intelligence,is promoting the development of all industries.Introducin...With the rapid development of the economy and society,digital intelligence technology,as a technology that organically combines digitalization and intelligence,is promoting the development of all industries.Introducing digital intelligence technology in the field of education can help improve the quality of talent cultivation and promote the comprehensive development of students.In response to the call for mass entrepreneurship and innovation,colleges and universities should focus on the integration of innovation and entrepreneurship with ideological and political education,introduce new technological means to carry out educational work,and build a good ecosystem for innovation and entrepreneurship education.Based on this,this paper conducts an analysis and research on the integration of innovation and entrepreneurship and ideological and political education in colleges and universities empowered by digital intelligence technology for reference.展开更多
The integration of industry and education provides intrinsic support for the construction of a collaborative education system between higher vocational colleges and enterprises.Based on the integration of industry and...The integration of industry and education provides intrinsic support for the construction of a collaborative education system between higher vocational colleges and enterprises.Based on the integration of industry and education,higher vocational colleges develop mass entrepreneurship and innovation education,which also requires the establishment of systems and institutions for mass entrepreneurship and innovation education to internally support the steady progress of the integration of industry and education.By clarifying the new demands for mass entrepreneurship and innovation education and the integration of industry and education in the new era,while further strengthening balanced development layouts,identifying practical educational issues in mass entrepreneurship and innovation education and the integration of industry and education,and formulating scientific practical strategies,this study expands the new development path of deepening mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges,providing educational support for the coordinated advancement of mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges.展开更多
Against the backdrop of the national innovation strategy and the digital transformation of education,the traditional“extensive”training model for innovation and entrepreneurship talents struggles to meet the persona...Against the backdrop of the national innovation strategy and the digital transformation of education,the traditional“extensive”training model for innovation and entrepreneurship talents struggles to meet the personalized development needs of students,making an urgent shift toward precision and intelligence necessary.This study constructs a four-dimensional integrated framework centered on data,“Goal-Data-Intervention-Evaluation”,and proposes a data-driven training model for innovation and entrepreneurship talents in universities.By collecting multi-source data such as learning behaviors,competency assessments,and practical projects,the model conducts in-depth analysis of students’individual characteristics and development potential,enabling precise decision-making in goal setting,teaching intervention,and practical guidance.Based on data analysis,a supportive system for personalized teaching and practical activities is established.Combined with process-oriented and summative evaluations,a closed-loop feedback mechanism is formed to improve training effectiveness.This model provides a theoretical framework and practical path for the scientific,personalized,and intelligent development of innovation and entrepreneurship education in universities.展开更多
The Nordic healtheare model is recognized to be one of the most innovative in the world. Here billions of USD are annually invested in developing new treatments, drugs, robots etc. to diagnose and cure diseases. Never...The Nordic healtheare model is recognized to be one of the most innovative in the world. Here billions of USD are annually invested in developing new treatments, drugs, robots etc. to diagnose and cure diseases. Nevertheless, this study establishes that there is a fundamental shortcoming in the system that supports healthcare innovation： It is strongly biased towards micro-level innovation projects focusing on new products, alternative processes, and new financial solutions. The problem with this approach to support new projects is that the results are created as inventions within the system thus lacking holistic perspectives. This has consequently contributed with increasing costs that are out of proportion with existing budgets. Therefore this study seeks to analyze the current understanding of the Nordic healthcare system from a business model perspective. Here other aspects of the healthcare system are explored to determine if they could be redesigned to promote new types of innovation projects. The purpose of undertaking this task is to challenge the established patterns of the current healthcare innovation support practices. Here the vertical innovation process （VIP） framework, which is a systematic radical innovation model that seeks macro-level outcomes based on standalone inventions （see more below）, is applied to analyze the current state-of-the-art in Nordic healthcare innovation projects. The results determine that very little attention is given to rethink and redesign the healthcare system at a macro-level, and it is discussed that stand-alone inventions ought to be rethought into the entire healthcare system to create a larger impact. Finally, it is argued that existing performance measures are inappropriate to foster projects that innovate the existing system： New measuring points should be developed to promote macro-level projects and to avoid the current rapid increase of costs in the Nordic healthcare system.展开更多
This paper argues that in an era of accelerating climate change and rising sea levels,what truly matters is not merely the marine structure itself,but the foresight and adaptability embedded in its conception.As globa...This paper argues that in an era of accelerating climate change and rising sea levels,what truly matters is not merely the marine structure itself,but the foresight and adaptability embedded in its conception.As global urbanization intensifies along coastlines,and as storms grow stronger and ecosystems degrade,there is an urgent need for transformative approaches to ocean engineering and design.We introduce Terrestrial Education,an interdisciplinary framework that moves beyond conventional sustainability models by integrating ecological intelligence,regenerative systems thinking,and advanced technologies.Unlike traditional approaches that focus on minimizing harm,Terrestrial Education emphasizes active ecological restoration,socio-technical evolution,and planetary stewardship.Drawing on lessons from space exploration,such as closed-loop life support systems,autonomous environmental management,and modular habitat design,we demonstrate how these principles can inspire resilient marine infrastructures,including floating platforms,submerged laboratories,and biointegrated offshore structures.These designs are envisioned not only for their physical durability but also for their capacity to regenerate ecosystems and foster meaningful human interaction with marine environments.The paper highlights key priorities such as adaptability to climate extremes,energy efficiency through marine renewables,and environmental integration using biomimetic materials.By aligning with the Sustainable Development Goals of the blue economy,Terrestrial Education offers a future-oriented model that harmonizes environmental,technological,and economic objectives.Ultimately,this framework provides a conceptual and operational foundation for reimagining marine structures as catalysts for innovation,educational transformation,and resilient planetary futures in the climate era.展开更多
This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample,uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indic...This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample,uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indicators and 9 secondlevel indicators,and analyzes the essential connotation and key influencing factors of green innovation ability in science and technology park.The research found that among the first-level indicators,“industrial innovation”,“incubator innovation”and“policy innovation”ranked among the top three key factors.Among the second-level indicators,the three factors of“enterprise incubator innovation”,“government policies and fiscal and financial policies”and“the development of new industries and emerging industries”have a significant impact on the innovation capabilities of science and technology parks.Accordingly,some suggested measures are put forward to provide theoretical and practical guidance for improving their green innovation ability.The main innovation of this paper is to construct an evaluation model of science and technology park suitable for the green innovation ability of science and technology park according to the social and economic development of the Pearl River Delta city belt and to test its effectiveness.In view of the technology,complexity,ambiguity and pluralism of the evaluation index construction of green innovation ability in science and technology parks in practice,the index evaluation model and application strategy in this paper hope to provide a theoretical reference for the park operators to improve their benefits and promote the development of regional industrial clusters.展开更多
Green innovation is an important driving force for high-quality development and an important guarantee for the revitalization of the old industrial base in Northeast China.However,research on green innovation is still...Green innovation is an important driving force for high-quality development and an important guarantee for the revitalization of the old industrial base in Northeast China.However,research on green innovation is still insufficient.Using the super-efficiency epsilon-based measure Malmquist model,kernel density estimation,and spatial econometric model,this study investigated the spatiotemporal evolution characteristics and influencing factors of green innovation efficiency(GIE)in Northeast China from 2005 to 2020.The results reveal that:1)The GIE in Northeast China has obvious phased characteristics,where 2005-2011 was a period of fluctuating decline while 2012-2020 was a period of fluctuating increase,reflecting the severe resource and environmental constraints faced by the green innovation process.2)The GIE in the Northeast China has a significant spatial dependence,which has not formed a relatively stable spatial club feature.The process for improving the GIE in the Northeast China in the future is still arduous and far off.3)The interweaving and mutual influence of nonequilibrium factors have led to the diversity and complexity of the spatiotemporal pattern evolution of GIE.Overall,the level of economic development and industrial structure has a positive effect,while foreign investment and industrial agglomeration have a negative effect.The direct effects of government regulation,resource endowment,science and technology,environmental regulation,and urbanization are not significant.The research conclusion of this article can provide important reference for the revitalization of Northeast China.展开更多
Lithium-based batteries(LiBs)are integral components in operating electric vehicles to renewable energy systems and portable electronic devices,thanks to their unparalleled energy density,minimal self-discharge rates,...Lithium-based batteries(LiBs)are integral components in operating electric vehicles to renewable energy systems and portable electronic devices,thanks to their unparalleled energy density,minimal self-discharge rates,and favorable cycle life.However,the inherent safety risks and performance degradation of LiB over time impose continuous monitoring facilitated by sophisticated battery management systems(BMS).This review comprehensively analyzes the current state of sensor technologies for smart LiBs,focusing on their advancements,opportunities,and potential challenges.Sensors are classified into two primary groups based on their application:safety monitoring and performance optimization.Safety monitoring sensors,including temperature,pressure,strain,gas,acoustic,and magnetic sensors,focus on detecting conditions that could lead to hazardous situations.Performance optimization sensors,such as optical-based and electrochemical-based,monitor factors such as state of charge and state of health,emphasizing operational efficiency and lifespan.The review also highlights the importance of integrating these sensors with advanced algorithms and control approaches to optimize charging and discharge cycles.Potential advancements driven by nanotechnology,wireless sensor networks,miniaturization,and machine learning algorithms are also discussed.However,challenges related to sensor miniaturization,power consumption,cost efficiency,and compatibility with existing BMS need to be addressed to fully realize the potential of LiB sensor technologies.This comprehensive review provides valuable insights into the current landscape and future directions of sensor innovations in smart LiBs,guiding further research and development efforts to enhance battery performance,reliability,and safety.Integration of advanced sensor technologies for smart LiBs:integrating non-optical multi-parameter,optical-based,and electrochemical sensors within the BMS to achieve higher safety,improved efficiency,early warning mechanisms,and TR prevention.Potential advancements are driven by nanotechnology,wireless sensor networks,miniaturization,and advanced algorithms,addressing key challenges to enhance battery performance and reliability.展开更多
With the rapid development of knowledge economy, a number of important shifts are emerging in urbanization pattern across the world. Traditional urbanization theory has become hard to interpret these changes on a glob...With the rapid development of knowledge economy, a number of important shifts are emerging in urbanization pattern across the world. Traditional urbanization theory has become hard to interpret these changes on a global scale, and 'innovation' is a core concept to explain the new changes of the urbanization dynamics. As one of the important contents of urban geography, urbanization dynamic needs to turn from the general population flows between rural and urban areas into emphasizing high skilled migrants flow among cities and regions research. Against this background, we propose a conception of innovation-based urbanization. Using this concept, this study analyzes the spatial distribution characteristics of high skilled migrants and cultural diversity on urban innovation in China, based on the data of the sixth census of 270 cities at the prefecture level or above in China. This study measures the extent to which highly skilled migrants and cultural diversity increase urban innovation, by using spatial Durbin method to construct urban innovation regression model, to support the concept of innovation-based urbanization. The result shows that: first of all, the concept of innovation-based urbanization conforms to the development of knowledge economy, which emphasizes the migration process of highly skilled labor to cities. It helps to promote the changes in urban functions and landscapes and the expansion of urban knowledge activities, which undelines new dynamics of urban development, innovative landscape. Secondly, innovation urbanization based on highly skilled migrants flow is an important driving force for the development of Chinese cities, especially for eastern coastal cities and capital cities. Thirdly, the scale of highly skilled migrants flow and the level of urban cultural diversity in China both have been demonstrated of having positive effect on urban innovation output. With other conditions unchanged, a 10% increase in the number of urban highly skilled migrants and urban cultural diversity will directly result in an increase of 3% and 2% in urban innovation output respectively. This research has deepened our understanding and awareness of the openness and dynamics of the regional innovation system, and it has also provided an important theoretical basis for the formulation of urbanization and urban development policy under knowledge economy.展开更多
Scientific and technological innovation(STI)imposes unique requirements on the culture of the society in which it occurs, and the scientific culture that nurtures innovation also provides internal drivers for the deve...Scientific and technological innovation(STI)imposes unique requirements on the culture of the society in which it occurs, and the scientific culture that nurtures innovation also provides internal drivers for the development of STI. As scientific culture gains importance in society, we need a vibrant scientific community and a society that embraces the spirit of science and supports and actively participates in STI in order to create a cultural foundation conductive to STI activities.展开更多
Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the exist...Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.展开更多
In today's world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that posses...In today's world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that possesses world-class scientific and technological innovation cities maximizes the attraction of global innovation factors and wins a strategic initiative in international competition. Based on the urban zip code geodatabase, an evaluation system of urban innovation with the perspective of innovation outputs, and the spatial evolutionary mode, concerning the structure of innovation space of Shanghai and Beijing from 1991 to 2014, was developed. The results of the research indicated that the zip code geodatabase provided a new perspective for studying the evolving spatial structure of urban innovation. The resulting evaluation of the spatial structure of urban innovation using the urban zip code geodatabase established by connecting random edge points, was relatively effective. The study illustrates the value of this methodology. During the study period, the spatial structure of innovation of Shanghai and Beijing demonstrated many common features: with the increase in urban space units participating in innovation year by year, the overall gap of regional innovation outputs has narrowed, and the trend towards spatial agglomeration has strengthened. The evolving spatial structure of innovation of Shanghai and Beijing demonstrated differences between the common features during the 25 years as well: in the trend towards the suburbanization of innovation resources, the spatial structure of innovation of Shanghai evolved from a single-core to a multi-core structure. A radiation effect related to traffic arteries as spatial diffusion corridors was prominent. Accordingly, a spatial correlation effect of its innovation outputs also indicated a hollowness in the city center; the spatial structure of innovation of Beijing had a single-core oriented structure all the way. Together with the tendency for innovation resources to be agglomerated in the city center, the spatial correlation effect of innovation outputs reflected the characteristics of the evolutionary feature where "rural area encircles cities". The innovation spatial structure of Shanghai and Beijing have intrinsic consistency with the spatial structure of their respective regions(Yangtze River Delta urban agglomeration and Beijing-Tianjin-Hebei metropolitan region), which suggested that the principle of proportional and disproportional distribution of a city-scale pattern of technological and innovational activities is closely related to its regional innovation pattern.展开更多
Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for...Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.展开更多
The dislocation between regional innovation and economic development directly influences the economic effect of regional innovation. However, no in-depth researches have been made on how to solve this problem. Using d...The dislocation between regional innovation and economic development directly influences the economic effect of regional innovation. However, no in-depth researches have been made on how to solve this problem. Using data from Henan Province, China,employing geographical detector technology, this paper focuses on testing whether the industry-university-research cooperation can contribute to coordinating the relation between regional innovation and economic development. It is shown that: 1) the industry-universityresearch cooperation in Henan Province is increasing gradually, and the network presents a core-edge structure, and the coupling degree between regional innovation and economic development is spatially unbalanced, which is similar to the spatial distribution of the intensity of industry-university-research cooperation;2) as an important approach to effectively connect scientific researches with market demands, the industry-university-research cooperation can help form an interactive, interconnected, coupled and coordinated virtuous relation between regional innovation and economic development. Compared with the cooperation between organizations of the same type and the separate innovation of organizations, the improvement of the industry-university-research cooperation level can better coordinate the relation between regional innovation and economic development;3) the cooperative innovation model between enterprises and universities can better promote the coupling between regional innovation and economic development, compared with many industryuniversity-research cooperation models. For underdeveloped areas lacking local knowledge base, industry-university-research cooperation should be considered as a long-term development strategy, especially using the knowledge sources of external universities and scientific research institutions to enhance innovation capability and achieve economic growth.展开更多
Cross-region innovation is widely recognized as an important source of the long-term regional innovation capacity.In the recent past,a growing number of studies has investigated the network structure and mechanisms of...Cross-region innovation is widely recognized as an important source of the long-term regional innovation capacity.In the recent past,a growing number of studies has investigated the network structure and mechanisms of cross-region innovation collaboration in various contexts.However,existing research mainly focuses on physical effects,such as geographical distance and high-speed railway connections.These studies ignore the intangible drivers in a changing environment,the more digitalized economy and the increasingly solidified innovation network structure.Thus,the focus of this study is on estimating determinants of innovation networks,especially on intangible drivers,which have been largely neglected so far.Using city-level data of Chinese patents(excluding Hong Kong,Macao,and Taiwan Province of China),we trace innovation networks across Chinese cities over a long period of time.By integrating a measure on Information and Communications Technology(ICT)development gap and network structural effects into the general proximity framework,this paper explores the changing mechanisms of Chinese innovation networks from a new perspective.The results show that the structure of cross-region innovation networks has changed in China.As mechanisms behind this development,the results confirm the increasingly important role of intangible drivers in Chinese inter-city innovation collaboration when controlling for effects of physical proximity,such as geographical distance.Since digitalization and coordinated development are the mainstream trends in China and other developing countries,these countries'inter-city innovation collaboration patterns will witness dramatic changes under the influence of intangible drivers.展开更多
Numerous studies deal with spatial analysis of green innovation(GI).However,researchers have paid limited attention to analyzing the multi-scale evolution patterns and predicting trends of GI in China.This paper seeks...Numerous studies deal with spatial analysis of green innovation(GI).However,researchers have paid limited attention to analyzing the multi-scale evolution patterns and predicting trends of GI in China.This paper seeks to address this research gap by examining the multi-scale distribution and evolutionary characteristics of GI activities based on the data from 337 cities in China during 2000-2019.We used scale variance and the two-stage nested Theil decomposition method to examine the spatial distribution and inequalities of GI in China at multiple scales,including regional,provincial,and prefectural.Additionally,we utilized the Markov chain and spatial Markov chain to explore the dynamic evolution of GI in China and predict its long-term development.The findings indicate that GI in China has a multi-scale effect and is highly sensitive to changes in spatial scale,with significant spatial differences of GI decreasing in each scale.Furthermore,the spatiotemporal evolution of GI is influenced by both geospatial patterns and spatial scales,exhibiting the“club convergence”effect and a tendency to transfer to higher levels of proximity.This effect is more pronounced on a larger scale,but it is increasingly challenging to transfer to higher levels.The study also indicates a steady and sustained growth of GI in China,which concentrates on higher levels over time.These results contribute to a more precise understanding of the scale at which GI develops and provide a scientific basis and policy suggestions for optimizing the spatial structure of GI and promoting its development in China.展开更多
The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows us to effectively eliminate or absorb these outliers to produce better analysis fields.In particul...The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows us to effectively eliminate or absorb these outliers to produce better analysis fields.In particular,variational quality control(VarQC) can process gray zone outliers and is thus broadly used in variational data assimilation systems.In this study,governing equations are derived for two VarQC algorithms that utilize different contaminated Gaussian distributions(CGDs): Gaussian plus flat distribution and Huber norm distribution.As such,these VarQC algorithms can handle outliers that have non-Gaussian innovations.Then,these VarQC algorithms are implemented in the Global/Regional Assimilation and PrEdiction System(GRAPES) model-level three-dimensional variational data assimilation(m3 DVAR) system.Tests using artificial observations indicate that the VarQC method using the Huber distribution has stronger robustness for including outliers to improve posterior analysis than the VarQC method using the Gaussian plus flat distribution.Furthermore,real observation experiments show that the distribution of observation analysis weights conform well with theory,indicating that the application of VarQC is effective in the GRAPES m3 DVAR system.Subsequent case study and longperiod data assimilation experiments show that the spatial distribution and amplitude of the observation analysis weights are related to the analysis increments of the mass field(geopotential height and temperature).Compared to the control experiment,VarQC experiments have noticeably better posterior mass fields.Finally,the VarQC method using the Huber distribution is superior to the VarQC method using the Gaussian plus flat distribution,especially at the middle and lower levels.展开更多
A fuzzy integral based way of measurement assessment has been established by using linguistic varia-bles and combining fuzzy integral with hierarchy analysis for measurement of medium and small enterprises'product...A fuzzy integral based way of measurement assessment has been established by using linguistic varia-bles and combining fuzzy integral with hierarchy analysis for measurement of medium and small enterprises'product innovation. The conclusions drawn from analyses made with 20 medium and small enterprises providebases for governments to formulate applicable policies and for medium and small enterprises to enhance theirproduct innovation.展开更多
Recently,InE has been regarded as a popular education strategy in Chinese universities.However,problems have been exposed in the adoption of InE,for example,in InE courses and competitions.The purpose of this paper is...Recently,InE has been regarded as a popular education strategy in Chinese universities.However,problems have been exposed in the adoption of InE,for example,in InE courses and competitions.The purpose of this paper is to provide a possible solution to the problems,which is to organize effective InE courses by integrating InE with Inter-Course-level Problem-Based Learning(ICPBL).A detailed case is demonstrated by an ICPBL elective course design with deep integration of InE in the teaching,learning,and assessments.This paper contributes to a new curriculum design for promoting InE education in practically for Chinese universities.展开更多
文摘Today,green and low-carbon development and technological innovation are mingling in what may emerge as the key narrative for human civilization.I was fortunate enough to have attended the 2024 Greater Bay Area(GBA)Science Forum’s Green Energy Industry Innovation Sub-Forum and then the 2025 Zhongguancun Forum(ZGC Forum)Annual Conference.
文摘With the rapid development of the economy and society,digital intelligence technology,as a technology that organically combines digitalization and intelligence,is promoting the development of all industries.Introducing digital intelligence technology in the field of education can help improve the quality of talent cultivation and promote the comprehensive development of students.In response to the call for mass entrepreneurship and innovation,colleges and universities should focus on the integration of innovation and entrepreneurship with ideological and political education,introduce new technological means to carry out educational work,and build a good ecosystem for innovation and entrepreneurship education.Based on this,this paper conducts an analysis and research on the integration of innovation and entrepreneurship and ideological and political education in colleges and universities empowered by digital intelligence technology for reference.
文摘The integration of industry and education provides intrinsic support for the construction of a collaborative education system between higher vocational colleges and enterprises.Based on the integration of industry and education,higher vocational colleges develop mass entrepreneurship and innovation education,which also requires the establishment of systems and institutions for mass entrepreneurship and innovation education to internally support the steady progress of the integration of industry and education.By clarifying the new demands for mass entrepreneurship and innovation education and the integration of industry and education in the new era,while further strengthening balanced development layouts,identifying practical educational issues in mass entrepreneurship and innovation education and the integration of industry and education,and formulating scientific practical strategies,this study expands the new development path of deepening mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges,providing educational support for the coordinated advancement of mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges.
基金Special Fund for Teacher Development Research Program of University of Shanghai for Science and Technology(Project No.:CFTD2025YB28)。
文摘Against the backdrop of the national innovation strategy and the digital transformation of education,the traditional“extensive”training model for innovation and entrepreneurship talents struggles to meet the personalized development needs of students,making an urgent shift toward precision and intelligence necessary.This study constructs a four-dimensional integrated framework centered on data,“Goal-Data-Intervention-Evaluation”,and proposes a data-driven training model for innovation and entrepreneurship talents in universities.By collecting multi-source data such as learning behaviors,competency assessments,and practical projects,the model conducts in-depth analysis of students’individual characteristics and development potential,enabling precise decision-making in goal setting,teaching intervention,and practical guidance.Based on data analysis,a supportive system for personalized teaching and practical activities is established.Combined with process-oriented and summative evaluations,a closed-loop feedback mechanism is formed to improve training effectiveness.This model provides a theoretical framework and practical path for the scientific,personalized,and intelligent development of innovation and entrepreneurship education in universities.
文摘The Nordic healtheare model is recognized to be one of the most innovative in the world. Here billions of USD are annually invested in developing new treatments, drugs, robots etc. to diagnose and cure diseases. Nevertheless, this study establishes that there is a fundamental shortcoming in the system that supports healthcare innovation： It is strongly biased towards micro-level innovation projects focusing on new products, alternative processes, and new financial solutions. The problem with this approach to support new projects is that the results are created as inventions within the system thus lacking holistic perspectives. This has consequently contributed with increasing costs that are out of proportion with existing budgets. Therefore this study seeks to analyze the current understanding of the Nordic healthcare system from a business model perspective. Here other aspects of the healthcare system are explored to determine if they could be redesigned to promote new types of innovation projects. The purpose of undertaking this task is to challenge the established patterns of the current healthcare innovation support practices. Here the vertical innovation process （VIP） framework, which is a systematic radical innovation model that seeks macro-level outcomes based on standalone inventions （see more below）, is applied to analyze the current state-of-the-art in Nordic healthcare innovation projects. The results determine that very little attention is given to rethink and redesign the healthcare system at a macro-level, and it is discussed that stand-alone inventions ought to be rethought into the entire healthcare system to create a larger impact. Finally, it is argued that existing performance measures are inappropriate to foster projects that innovate the existing system： New measuring points should be developed to promote macro-level projects and to avoid the current rapid increase of costs in the Nordic healthcare system.
文摘This paper argues that in an era of accelerating climate change and rising sea levels,what truly matters is not merely the marine structure itself,but the foresight and adaptability embedded in its conception.As global urbanization intensifies along coastlines,and as storms grow stronger and ecosystems degrade,there is an urgent need for transformative approaches to ocean engineering and design.We introduce Terrestrial Education,an interdisciplinary framework that moves beyond conventional sustainability models by integrating ecological intelligence,regenerative systems thinking,and advanced technologies.Unlike traditional approaches that focus on minimizing harm,Terrestrial Education emphasizes active ecological restoration,socio-technical evolution,and planetary stewardship.Drawing on lessons from space exploration,such as closed-loop life support systems,autonomous environmental management,and modular habitat design,we demonstrate how these principles can inspire resilient marine infrastructures,including floating platforms,submerged laboratories,and biointegrated offshore structures.These designs are envisioned not only for their physical durability but also for their capacity to regenerate ecosystems and foster meaningful human interaction with marine environments.The paper highlights key priorities such as adaptability to climate extremes,energy efficiency through marine renewables,and environmental integration using biomimetic materials.By aligning with the Sustainable Development Goals of the blue economy,Terrestrial Education offers a future-oriented model that harmonizes environmental,technological,and economic objectives.Ultimately,this framework provides a conceptual and operational foundation for reimagining marine structures as catalysts for innovation,educational transformation,and resilient planetary futures in the climate era.
文摘This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample,uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indicators and 9 secondlevel indicators,and analyzes the essential connotation and key influencing factors of green innovation ability in science and technology park.The research found that among the first-level indicators,“industrial innovation”,“incubator innovation”and“policy innovation”ranked among the top three key factors.Among the second-level indicators,the three factors of“enterprise incubator innovation”,“government policies and fiscal and financial policies”and“the development of new industries and emerging industries”have a significant impact on the innovation capabilities of science and technology parks.Accordingly,some suggested measures are put forward to provide theoretical and practical guidance for improving their green innovation ability.The main innovation of this paper is to construct an evaluation model of science and technology park suitable for the green innovation ability of science and technology park according to the social and economic development of the Pearl River Delta city belt and to test its effectiveness.In view of the technology,complexity,ambiguity and pluralism of the evaluation index construction of green innovation ability in science and technology parks in practice,the index evaluation model and application strategy in this paper hope to provide a theoretical reference for the park operators to improve their benefits and promote the development of regional industrial clusters.
基金Under the auspices of the National Natural Science Foundation of China(No.42571228,42401212)National Natural Science Foundation of Shandong(No.ZR2024MD022)。
文摘Green innovation is an important driving force for high-quality development and an important guarantee for the revitalization of the old industrial base in Northeast China.However,research on green innovation is still insufficient.Using the super-efficiency epsilon-based measure Malmquist model,kernel density estimation,and spatial econometric model,this study investigated the spatiotemporal evolution characteristics and influencing factors of green innovation efficiency(GIE)in Northeast China from 2005 to 2020.The results reveal that:1)The GIE in Northeast China has obvious phased characteristics,where 2005-2011 was a period of fluctuating decline while 2012-2020 was a period of fluctuating increase,reflecting the severe resource and environmental constraints faced by the green innovation process.2)The GIE in the Northeast China has a significant spatial dependence,which has not formed a relatively stable spatial club feature.The process for improving the GIE in the Northeast China in the future is still arduous and far off.3)The interweaving and mutual influence of nonequilibrium factors have led to the diversity and complexity of the spatiotemporal pattern evolution of GIE.Overall,the level of economic development and industrial structure has a positive effect,while foreign investment and industrial agglomeration have a negative effect.The direct effects of government regulation,resource endowment,science and technology,environmental regulation,and urbanization are not significant.The research conclusion of this article can provide important reference for the revitalization of Northeast China.
基金supported by the National Natural Science Foundation of China(NSFC,52130601)the Joint Research Center for Multi-energy Complementation and Conversion of USTC.
文摘Lithium-based batteries(LiBs)are integral components in operating electric vehicles to renewable energy systems and portable electronic devices,thanks to their unparalleled energy density,minimal self-discharge rates,and favorable cycle life.However,the inherent safety risks and performance degradation of LiB over time impose continuous monitoring facilitated by sophisticated battery management systems(BMS).This review comprehensively analyzes the current state of sensor technologies for smart LiBs,focusing on their advancements,opportunities,and potential challenges.Sensors are classified into two primary groups based on their application:safety monitoring and performance optimization.Safety monitoring sensors,including temperature,pressure,strain,gas,acoustic,and magnetic sensors,focus on detecting conditions that could lead to hazardous situations.Performance optimization sensors,such as optical-based and electrochemical-based,monitor factors such as state of charge and state of health,emphasizing operational efficiency and lifespan.The review also highlights the importance of integrating these sensors with advanced algorithms and control approaches to optimize charging and discharge cycles.Potential advancements driven by nanotechnology,wireless sensor networks,miniaturization,and machine learning algorithms are also discussed.However,challenges related to sensor miniaturization,power consumption,cost efficiency,and compatibility with existing BMS need to be addressed to fully realize the potential of LiB sensor technologies.This comprehensive review provides valuable insights into the current landscape and future directions of sensor innovations in smart LiBs,guiding further research and development efforts to enhance battery performance,reliability,and safety.Integration of advanced sensor technologies for smart LiBs:integrating non-optical multi-parameter,optical-based,and electrochemical sensors within the BMS to achieve higher safety,improved efficiency,early warning mechanisms,and TR prevention.Potential advancements are driven by nanotechnology,wireless sensor networks,miniaturization,and advanced algorithms,addressing key challenges to enhance battery performance and reliability.
基金National Natural Science Foundation of China,No.41471136
文摘With the rapid development of knowledge economy, a number of important shifts are emerging in urbanization pattern across the world. Traditional urbanization theory has become hard to interpret these changes on a global scale, and 'innovation' is a core concept to explain the new changes of the urbanization dynamics. As one of the important contents of urban geography, urbanization dynamic needs to turn from the general population flows between rural and urban areas into emphasizing high skilled migrants flow among cities and regions research. Against this background, we propose a conception of innovation-based urbanization. Using this concept, this study analyzes the spatial distribution characteristics of high skilled migrants and cultural diversity on urban innovation in China, based on the data of the sixth census of 270 cities at the prefecture level or above in China. This study measures the extent to which highly skilled migrants and cultural diversity increase urban innovation, by using spatial Durbin method to construct urban innovation regression model, to support the concept of innovation-based urbanization. The result shows that: first of all, the concept of innovation-based urbanization conforms to the development of knowledge economy, which emphasizes the migration process of highly skilled labor to cities. It helps to promote the changes in urban functions and landscapes and the expansion of urban knowledge activities, which undelines new dynamics of urban development, innovative landscape. Secondly, innovation urbanization based on highly skilled migrants flow is an important driving force for the development of Chinese cities, especially for eastern coastal cities and capital cities. Thirdly, the scale of highly skilled migrants flow and the level of urban cultural diversity in China both have been demonstrated of having positive effect on urban innovation output. With other conditions unchanged, a 10% increase in the number of urban highly skilled migrants and urban cultural diversity will directly result in an increase of 3% and 2% in urban innovation output respectively. This research has deepened our understanding and awareness of the openness and dynamics of the regional innovation system, and it has also provided an important theoretical basis for the formulation of urbanization and urban development policy under knowledge economy.
文摘Scientific and technological innovation(STI)imposes unique requirements on the culture of the society in which it occurs, and the scientific culture that nurtures innovation also provides internal drivers for the development of STI. As scientific culture gains importance in society, we need a vibrant scientific community and a society that embraces the spirit of science and supports and actively participates in STI in order to create a cultural foundation conductive to STI activities.
基金Under the auspices of National Natural Science Foundation of China(No.41471105,41430637,41701197)Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.16IRTSTHN012)+1 种基金Key Project of the Humanities and Social Sciences Research Base in Ministry of Education(No.15JJDZONGHE008)China Postdoctoral Science Foundation(No.2013M531667,2014T70672)
文摘Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.
基金National Natural Science Foundation of China,No.41471108,No.41501141
文摘In today's world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that possesses world-class scientific and technological innovation cities maximizes the attraction of global innovation factors and wins a strategic initiative in international competition. Based on the urban zip code geodatabase, an evaluation system of urban innovation with the perspective of innovation outputs, and the spatial evolutionary mode, concerning the structure of innovation space of Shanghai and Beijing from 1991 to 2014, was developed. The results of the research indicated that the zip code geodatabase provided a new perspective for studying the evolving spatial structure of urban innovation. The resulting evaluation of the spatial structure of urban innovation using the urban zip code geodatabase established by connecting random edge points, was relatively effective. The study illustrates the value of this methodology. During the study period, the spatial structure of innovation of Shanghai and Beijing demonstrated many common features: with the increase in urban space units participating in innovation year by year, the overall gap of regional innovation outputs has narrowed, and the trend towards spatial agglomeration has strengthened. The evolving spatial structure of innovation of Shanghai and Beijing demonstrated differences between the common features during the 25 years as well: in the trend towards the suburbanization of innovation resources, the spatial structure of innovation of Shanghai evolved from a single-core to a multi-core structure. A radiation effect related to traffic arteries as spatial diffusion corridors was prominent. Accordingly, a spatial correlation effect of its innovation outputs also indicated a hollowness in the city center; the spatial structure of innovation of Beijing had a single-core oriented structure all the way. Together with the tendency for innovation resources to be agglomerated in the city center, the spatial correlation effect of innovation outputs reflected the characteristics of the evolutionary feature where "rural area encircles cities". The innovation spatial structure of Shanghai and Beijing have intrinsic consistency with the spatial structure of their respective regions(Yangtze River Delta urban agglomeration and Beijing-Tianjin-Hebei metropolitan region), which suggested that the principle of proportional and disproportional distribution of a city-scale pattern of technological and innovational activities is closely related to its regional innovation pattern.
基金Under the auspices of National Natural Science Foundation of China(No.41971222)Planning Project of Philosophy and Social Science in Henan Province(No.2019BJJ019)+2 种基金Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.21IRTSTHN008)Graduate Education Quality Curriculum Construction Project of Henan Province(No.HNYJS2016KC24)First Class Discipline Development Project in Henan University(No.2019YLZDYJ12)。
文摘Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.
基金Under the auspices of National Natural Science Foundation of China (No. 41971222)Key R&D (Science and Technology)+2 种基金Promotion Project of Henan Province (No. 222102110420)Key Research Project of Higher Education Think Tank in Henan Province (No. 2022ZKYJ06)Science and Technology Innovative Team Support Plan Project in Higher Educational Institutions of Henan Province (No. 21IRTSTHN008)。
文摘The dislocation between regional innovation and economic development directly influences the economic effect of regional innovation. However, no in-depth researches have been made on how to solve this problem. Using data from Henan Province, China,employing geographical detector technology, this paper focuses on testing whether the industry-university-research cooperation can contribute to coordinating the relation between regional innovation and economic development. It is shown that: 1) the industry-universityresearch cooperation in Henan Province is increasing gradually, and the network presents a core-edge structure, and the coupling degree between regional innovation and economic development is spatially unbalanced, which is similar to the spatial distribution of the intensity of industry-university-research cooperation;2) as an important approach to effectively connect scientific researches with market demands, the industry-university-research cooperation can help form an interactive, interconnected, coupled and coordinated virtuous relation between regional innovation and economic development. Compared with the cooperation between organizations of the same type and the separate innovation of organizations, the improvement of the industry-university-research cooperation level can better coordinate the relation between regional innovation and economic development;3) the cooperative innovation model between enterprises and universities can better promote the coupling between regional innovation and economic development, compared with many industryuniversity-research cooperation models. For underdeveloped areas lacking local knowledge base, industry-university-research cooperation should be considered as a long-term development strategy, especially using the knowledge sources of external universities and scientific research institutions to enhance innovation capability and achieve economic growth.
基金Under the auspices of China Scholarship Council。
文摘Cross-region innovation is widely recognized as an important source of the long-term regional innovation capacity.In the recent past,a growing number of studies has investigated the network structure and mechanisms of cross-region innovation collaboration in various contexts.However,existing research mainly focuses on physical effects,such as geographical distance and high-speed railway connections.These studies ignore the intangible drivers in a changing environment,the more digitalized economy and the increasingly solidified innovation network structure.Thus,the focus of this study is on estimating determinants of innovation networks,especially on intangible drivers,which have been largely neglected so far.Using city-level data of Chinese patents(excluding Hong Kong,Macao,and Taiwan Province of China),we trace innovation networks across Chinese cities over a long period of time.By integrating a measure on Information and Communications Technology(ICT)development gap and network structural effects into the general proximity framework,this paper explores the changing mechanisms of Chinese innovation networks from a new perspective.The results show that the structure of cross-region innovation networks has changed in China.As mechanisms behind this development,the results confirm the increasingly important role of intangible drivers in Chinese inter-city innovation collaboration when controlling for effects of physical proximity,such as geographical distance.Since digitalization and coordinated development are the mainstream trends in China and other developing countries,these countries'inter-city innovation collaboration patterns will witness dramatic changes under the influence of intangible drivers.
基金supported by the National Natural Science Foundation of China(Grant No.41971201).
文摘Numerous studies deal with spatial analysis of green innovation(GI).However,researchers have paid limited attention to analyzing the multi-scale evolution patterns and predicting trends of GI in China.This paper seeks to address this research gap by examining the multi-scale distribution and evolutionary characteristics of GI activities based on the data from 337 cities in China during 2000-2019.We used scale variance and the two-stage nested Theil decomposition method to examine the spatial distribution and inequalities of GI in China at multiple scales,including regional,provincial,and prefectural.Additionally,we utilized the Markov chain and spatial Markov chain to explore the dynamic evolution of GI in China and predict its long-term development.The findings indicate that GI in China has a multi-scale effect and is highly sensitive to changes in spatial scale,with significant spatial differences of GI decreasing in each scale.Furthermore,the spatiotemporal evolution of GI is influenced by both geospatial patterns and spatial scales,exhibiting the“club convergence”effect and a tendency to transfer to higher levels of proximity.This effect is more pronounced on a larger scale,but it is increasingly challenging to transfer to higher levels.The study also indicates a steady and sustained growth of GI in China,which concentrates on higher levels over time.These results contribute to a more precise understanding of the scale at which GI develops and provide a scientific basis and policy suggestions for optimizing the spatial structure of GI and promoting its development in China.
基金supported by the China Scholarship Councilprimarily sponsored by the National Key R&D Program of China (Grant No.2018YFC1506702 and Grant No.2017YFC1502000)。
文摘The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows us to effectively eliminate or absorb these outliers to produce better analysis fields.In particular,variational quality control(VarQC) can process gray zone outliers and is thus broadly used in variational data assimilation systems.In this study,governing equations are derived for two VarQC algorithms that utilize different contaminated Gaussian distributions(CGDs): Gaussian plus flat distribution and Huber norm distribution.As such,these VarQC algorithms can handle outliers that have non-Gaussian innovations.Then,these VarQC algorithms are implemented in the Global/Regional Assimilation and PrEdiction System(GRAPES) model-level three-dimensional variational data assimilation(m3 DVAR) system.Tests using artificial observations indicate that the VarQC method using the Huber distribution has stronger robustness for including outliers to improve posterior analysis than the VarQC method using the Gaussian plus flat distribution.Furthermore,real observation experiments show that the distribution of observation analysis weights conform well with theory,indicating that the application of VarQC is effective in the GRAPES m3 DVAR system.Subsequent case study and longperiod data assimilation experiments show that the spatial distribution and amplitude of the observation analysis weights are related to the analysis increments of the mass field(geopotential height and temperature).Compared to the control experiment,VarQC experiments have noticeably better posterior mass fields.Finally,the VarQC method using the Huber distribution is superior to the VarQC method using the Gaussian plus flat distribution,especially at the middle and lower levels.
基金Sponsored by the National Natural Science Foundation of China (Grant No. 70171039)Major Project of the National Natural Science Foundation of China (Grant No. 70131010 )Natural Science Foundation of Heilongjiang Province (Grant No. G01-09)
文摘A fuzzy integral based way of measurement assessment has been established by using linguistic varia-bles and combining fuzzy integral with hierarchy analysis for measurement of medium and small enterprises'product innovation. The conclusions drawn from analyses made with 20 medium and small enterprises providebases for governments to formulate applicable policies and for medium and small enterprises to enhance theirproduct innovation.
基金This research was financially supported by the PBL Research and Application Project of Northeastern University(Grant No.PBL-JX2021yb029,PBL-JX2021yb027).
文摘Recently,InE has been regarded as a popular education strategy in Chinese universities.However,problems have been exposed in the adoption of InE,for example,in InE courses and competitions.The purpose of this paper is to provide a possible solution to the problems,which is to organize effective InE courses by integrating InE with Inter-Course-level Problem-Based Learning(ICPBL).A detailed case is demonstrated by an ICPBL elective course design with deep integration of InE in the teaching,learning,and assessments.This paper contributes to a new curriculum design for promoting InE education in practically for Chinese universities.
