Under the digital economy,college students'innovation and entrepreneurship education is facing new transformation and reform,such as increasing entrepreneurial opportunities,improving quality,and new development o...Under the digital economy,college students'innovation and entrepreneurship education is facing new transformation and reform,such as increasing entrepreneurial opportunities,improving quality,and new development opportunities under the digitalization of education.This paper takes the digital economy as the development background,discusses how to build the digital innovation and entrepreneurship education ecosystem,that is,to form an integration mechanism with digital technology as the important content,digital context as the external environment,and digital organizational form as the guarantee.The specific approaches are as follows:Improve the digital skills and ability of entrepreneurs,carry out the design of digital entrepreneurship courses,strengthen the construction of digital organizations,establish a mechanism for multi-subject participation and value co-creation,and constantly promote the development of innovation and entrepreneurship education under the digital economy.展开更多
Traditional river health assessment relies on limited water quality indices and representative organism activity,but does not comprehensively obtain biotic and abiotic information of the ecosystem.Here,we propose a ne...Traditional river health assessment relies on limited water quality indices and representative organism activity,but does not comprehensively obtain biotic and abiotic information of the ecosystem.Here,we propose a new approach to evaluate the ecological and health risks of river aquatic ecosystems.First,detailed physicochemical and biological characterization of a river ecosystem can be obtained through pollutant determination(especially emerging pollutants)and DNA/RNA sequencing.Second,supervised machine learning can be applied to perform classification analysis of characterization data and ascertain river ecosystem ecology and health.Our proposed methodology transforms river ecosystem health assessment and can be applied in river management.展开更多
Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software devel-opment.However,the flexibility and global distribution inherent in modern systems pose significant challenges to...Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software devel-opment.However,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity measures.This paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of SPL.In the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and business.Specifically,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient ecosystems.Our experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in SPLs.As digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.展开更多
Software industry has evolved to multi-product and multi-platform development based on a mix of proprietary and open source components. Such integration has occurred in software ecosystems through a software product l...Software industry has evolved to multi-product and multi-platform development based on a mix of proprietary and open source components. Such integration has occurred in software ecosystems through a software product line engineering (SPLE) process. However, metadata are underused in the SPLE and interoperability challenge. The proposed method is first, a semantic metadata enrichment software ecosystem (SMESE) to support multi-platform metadata driven applications, and second, based on mapping ontologies SMESE aggregates and enriches metadata to create a semantic master metadata catalogue (SMMC). The proposed SPLE process uses a component-based software development approach for integrating distributed content management enterprise applications, such as digital libraries. To perform interoperability between existing metadata models (such as Dublin Core, UNIMARC, MARC21, RDF/RDA and BIBFRAME), SMESE implements an ontology mapping model. SMESE consists of nine sub-systems: 1) Metadata initiatives & concordance rules;2) Harvesting of web metadata & data;3) Harvesting of authority metadata & data;4) Rule-based semantic metadata external enrichment;5) Rule-based semantic metadata internal enrichment;6) Semantic metadata external & internal enrichment synchronization;7) User interest-based gateway;8) Semantic master catalogue. To conclude, this paper proposes a decision support process, called SPLE decision support process (SPLE-DSP) which is then used by SMESE to support dynamic reconfiguration. SPLE-DSP consists of a dynamic and optimized metadata-based reconfiguration model. SPLE-DSP takes into account runtime metadata-based variability functionalities, context-awareness and self-adaptation. It also presents the design and implementation of a working prototype of SMESE applied to a semantic digital library.展开更多
The dynamic interaction and collaboration of the loosely coupled entities play a pivotal role for the successful implementation of a Digital Ecosystem environment. However, such interaction and collaboration can only ...The dynamic interaction and collaboration of the loosely coupled entities play a pivotal role for the successful implementation of a Digital Ecosystem environment. However, such interaction and collaboration can only be promoted when information and resources are effortlessly shared, accessed, and utilized by the interacting entities. A major requirement to promote an intensive sharing of resources is the ability to secure and uphold the confidentiality, integrity and non-repudiation of resources. This requirement is extremely important in particular when interactions with the unfamiliar entities occur frequently. In this paper, we present a distributed mechanism for improving resource protection in a Digital Ecosystem environment. This mechanism can be used not only for any secure and reliable transaction, but also for encouraging the collaborative efforts by the Digital Ecosystem community members to play a major role in securing the environment. Public Key Infrastructure is also employed to provide a strong protection for its access workflows.展开更多
All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time an...All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time and effectiveness of tourism information service is insufficient, and the “information island” is numerous. In order to integrate and share information resources effectively, and achieve the intelligentialized and real-time all-for-one tourism information services, this paper proposes a systematic framework of allfor- one tourism information system, where tourists and tourist destinations are considered as all-for-one tourism digital ecosystem. The whole mode of this framework was combined with four levels and two parts. Some advanced information technologies such as big data, cloud computing and mobile internet application development were utilized to construct tourism digital ecosystem. How to implement all-for-one tourism information collection, integration, processing and sharing was discussed and the corresponding solution was provided.展开更多
Forest soil carbon is a major carbon pool of terrestrial ecosystems,and accurate estimation of soil organic carbon(SOC)stocks in forest ecosystems is rather challenging.This study compared the prediction performance o...Forest soil carbon is a major carbon pool of terrestrial ecosystems,and accurate estimation of soil organic carbon(SOC)stocks in forest ecosystems is rather challenging.This study compared the prediction performance of three empirical model approaches namely,regression kriging(RK),multiple stepwise regression(MSR),random forest(RF),and boosted regression trees(BRT)to predict SOC stocks in Northeast China for 1990 and 2015.Furthermore,the spatial variation of SOC stocks and the main controlling environmental factors during the past 25 years were identified.A total of 82(in 1990)and 157(in 2015)topsoil(0–20 cm)samples with 12 environmental factors(soil property,climate,topography and biology)were selected for model construction.Randomly selected80%of the soil sample data were used to train the models and the other 20%data for model verification using mean absolute error,root mean square error,coefficient of determination and Lin's consistency correlation coefficient indices.We found BRT model as the best prediction model and it could explain 67%and 60%spatial variation of SOC stocks,in 1990,and 2015,respectively.Predicted maps of all models in both periods showed similar spatial distribution characteristics,with the lower SOC in northeast and higher SOC in southwest.Mean annual temperature and elevation were the key environmental factors influencing the spatial variation of SOC stock in both periods.SOC stocks were mainly stored under Cambosols,Gleyosols and Isohumosols,accounting for 95.6%(1990)and 95.9%(2015).Overall,SOC stocks increased by 471 Tg C during the past 25 years.Our study found that the BRT model employing common environmental factors was the most robust method for forest topsoil SOC stocks inventories.The spatial resolution of BRT model enabled us to pinpoint in which areas of Northeast China that new forest tree planting would be most effective for enhancing forest C stocks.Overall,our approach is likely to be useful in forestry management and ecological restoration at and beyond the regional scale.展开更多
In the era of the digital economy,the extensive application of digital technologies has injected new momentum into the commercialization of small and medium-sized museums.However,these museums face numerous bottleneck...In the era of the digital economy,the extensive application of digital technologies has injected new momentum into the commercialization of small and medium-sized museums.However,these museums face numerous bottlenecks in the process of commercialization,making the construction of a digital business ecosystem an imperative.Based on a review of the current status,challenges,and opportunities of the commercialization of small and medium-sized museums,this paper clarifies the significance of constructing a digital business ecosystem.From the perspective of“Culture-Commerce-Tourism”integration,this paper proposes an integrated conceptual framework for the digital business ecosystem of small and medium-sized museums.This system is underpinned by digital technology infrastructure and constructs a five-dimensional collaborative network consisting of museums,government,digital platforms,tourists,and communities.Its core driving force is a spiral value-creation process driven by the deep integration of culture,commerce,and tourism.The ecosystem features technological empowerment of business operations,dynamic equilibrium among actors,and sustainable value co-creation.Based on this framework,the paper proposes practical strategies and recommendations for constructing a digital business ecosystem for small and medium-sized museums.展开更多
This paper presents a healthcare application for Brazilian digital television,its main purposes and its reception tests with end users.This is an applied research for testing the scope of the Global ITV project funded...This paper presents a healthcare application for Brazilian digital television,its main purposes and its reception tests with end users.This is an applied research for testing the scope of the Global ITV project funded by the Brazilian National Council for Scientific and Technological Development(CNPq)and the European community which has developed a hybrid broadband and broadcasting platform.展开更多
This research aims to provide an ecosystem-inspired approach to digital transformation(DT)for sustainable innovations by reviewing state-of-the-art research.Focusing on DT innovation pathways for Sustainable Developme...This research aims to provide an ecosystem-inspired approach to digital transformation(DT)for sustainable innovations by reviewing state-of-the-art research.Focusing on DT innovation pathways for Sustainable Development Goals(SDGs),a DT innovation roadmap incorporating various notions of ecosystems can thus be developed based on the findings in response to advancements in the“Helix”models of innovation and policy progress in green digital transformation.Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)protocol,a bibliographic search was conducted in the Web of Science(WoS)database.A bibliometric analysis was then performed,leading to various science mapping outcomes.The research findings suggest practical DT innovation pathways for stakeholders aiming to achieve SDGs and a DT innovation roadmap to assist researchers in navigating the evolving innovation landscape.Since 2007,research output has experienced rapid growth,especially after 2018,with active contributions from countries such as China,Australia,England,and Italy,as well as affiliations such as Guangzhou Nanfang College,Curtin University,and Harvard University.The findings,including a performance overview,a set of clustering analyses of concepts and themes,the conceptual and intellectual structure,and an SDG identification table,provide the basis for the proposed Green Digital Transformation(GDT)innovation roadmap with DT innovation pathways.This research is the first to conduct a bibliometric analysis and science mapping of the DT literature focusing on innovation and business ecosystems.The proposed GDT innovation roadmap outlines the usefulness of the concept of“ecosystem innovation,”integrating the natural ecosystem,ecosystem services,ecosystem economy,business ecosystem,innovation ecosystem,and digital ecosystems,thereby calling for the eco-design of DT strategies that foster alignment and partnership across sectors and disciplines.展开更多
基金Analysis of College Students'Innovation and Entrepreneurship Education System Construction under Digital Economy Environment(2021jyxm1404)In-depth Development of Experience Tourism in Traditional Villages in Huizhou under the Digital Economy Environment-A Case study of Traditional Villages in Yixian County(2022AH051929)。
文摘Under the digital economy,college students'innovation and entrepreneurship education is facing new transformation and reform,such as increasing entrepreneurial opportunities,improving quality,and new development opportunities under the digitalization of education.This paper takes the digital economy as the development background,discusses how to build the digital innovation and entrepreneurship education ecosystem,that is,to form an integration mechanism with digital technology as the important content,digital context as the external environment,and digital organizational form as the guarantee.The specific approaches are as follows:Improve the digital skills and ability of entrepreneurs,carry out the design of digital entrepreneurship courses,strengthen the construction of digital organizations,establish a mechanism for multi-subject participation and value co-creation,and constantly promote the development of innovation and entrepreneurship education under the digital economy.
基金supported by the NationalNatural Science Foundation of China (No.52293442)the Special Fund from the State Key Joint Laboratory of Environment Simulation and Pollution Control (No.22Z01ESPCR)。
文摘Traditional river health assessment relies on limited water quality indices and representative organism activity,but does not comprehensively obtain biotic and abiotic information of the ecosystem.Here,we propose a new approach to evaluate the ecological and health risks of river aquatic ecosystems.First,detailed physicochemical and biological characterization of a river ecosystem can be obtained through pollutant determination(especially emerging pollutants)and DNA/RNA sequencing.Second,supervised machine learning can be applied to perform classification analysis of characterization data and ascertain river ecosystem ecology and health.Our proposed methodology transforms river ecosystem health assessment and can be applied in river management.
基金supported via funding from Ministry of Defense,Government of Pakistan under Project Number AHQ/95013/6/4/8/NASTP(ACP).Titled:Development of ICT and Artificial Intelligence Based Precision Agriculture Systems Utilizing Dual-Use Aerospace Technologies-GREENAI.
文摘Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software devel-opment.However,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity measures.This paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of SPL.In the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and business.Specifically,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient ecosystems.Our experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in SPLs.As digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.
文摘Software industry has evolved to multi-product and multi-platform development based on a mix of proprietary and open source components. Such integration has occurred in software ecosystems through a software product line engineering (SPLE) process. However, metadata are underused in the SPLE and interoperability challenge. The proposed method is first, a semantic metadata enrichment software ecosystem (SMESE) to support multi-platform metadata driven applications, and second, based on mapping ontologies SMESE aggregates and enriches metadata to create a semantic master metadata catalogue (SMMC). The proposed SPLE process uses a component-based software development approach for integrating distributed content management enterprise applications, such as digital libraries. To perform interoperability between existing metadata models (such as Dublin Core, UNIMARC, MARC21, RDF/RDA and BIBFRAME), SMESE implements an ontology mapping model. SMESE consists of nine sub-systems: 1) Metadata initiatives & concordance rules;2) Harvesting of web metadata & data;3) Harvesting of authority metadata & data;4) Rule-based semantic metadata external enrichment;5) Rule-based semantic metadata internal enrichment;6) Semantic metadata external & internal enrichment synchronization;7) User interest-based gateway;8) Semantic master catalogue. To conclude, this paper proposes a decision support process, called SPLE decision support process (SPLE-DSP) which is then used by SMESE to support dynamic reconfiguration. SPLE-DSP consists of a dynamic and optimized metadata-based reconfiguration model. SPLE-DSP takes into account runtime metadata-based variability functionalities, context-awareness and self-adaptation. It also presents the design and implementation of a working prototype of SMESE applied to a semantic digital library.
文摘The dynamic interaction and collaboration of the loosely coupled entities play a pivotal role for the successful implementation of a Digital Ecosystem environment. However, such interaction and collaboration can only be promoted when information and resources are effortlessly shared, accessed, and utilized by the interacting entities. A major requirement to promote an intensive sharing of resources is the ability to secure and uphold the confidentiality, integrity and non-repudiation of resources. This requirement is extremely important in particular when interactions with the unfamiliar entities occur frequently. In this paper, we present a distributed mechanism for improving resource protection in a Digital Ecosystem environment. This mechanism can be used not only for any secure and reliable transaction, but also for encouraging the collaborative efforts by the Digital Ecosystem community members to play a major role in securing the environment. Public Key Infrastructure is also employed to provide a strong protection for its access workflows.
文摘All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time and effectiveness of tourism information service is insufficient, and the “information island” is numerous. In order to integrate and share information resources effectively, and achieve the intelligentialized and real-time all-for-one tourism information services, this paper proposes a systematic framework of allfor- one tourism information system, where tourists and tourist destinations are considered as all-for-one tourism digital ecosystem. The whole mode of this framework was combined with four levels and two parts. Some advanced information technologies such as big data, cloud computing and mobile internet application development were utilized to construct tourism digital ecosystem. How to implement all-for-one tourism information collection, integration, processing and sharing was discussed and the corresponding solution was provided.
基金funded by the National Key R&D Program of China(Grant No.2021YFD1500200)National Natural Science Foundation of China(Grant No.42077149)+4 种基金China Postdoctoral Science Foundation(Grant No.2019M660782)National Science and Technology Basic Resources Survey Program of China(Grant No.2019FY101300)Doctoral research start-up fund project of Liaoning Provincial Department of Science and Technology(Grant No.2021-BS-136)China Scholarship Council(201908210132)Young Scientific and Technological Talents Project of Liaoning Province(Grant Nos.LSNQN201910 and LSNQN201914)。
文摘Forest soil carbon is a major carbon pool of terrestrial ecosystems,and accurate estimation of soil organic carbon(SOC)stocks in forest ecosystems is rather challenging.This study compared the prediction performance of three empirical model approaches namely,regression kriging(RK),multiple stepwise regression(MSR),random forest(RF),and boosted regression trees(BRT)to predict SOC stocks in Northeast China for 1990 and 2015.Furthermore,the spatial variation of SOC stocks and the main controlling environmental factors during the past 25 years were identified.A total of 82(in 1990)and 157(in 2015)topsoil(0–20 cm)samples with 12 environmental factors(soil property,climate,topography and biology)were selected for model construction.Randomly selected80%of the soil sample data were used to train the models and the other 20%data for model verification using mean absolute error,root mean square error,coefficient of determination and Lin's consistency correlation coefficient indices.We found BRT model as the best prediction model and it could explain 67%and 60%spatial variation of SOC stocks,in 1990,and 2015,respectively.Predicted maps of all models in both periods showed similar spatial distribution characteristics,with the lower SOC in northeast and higher SOC in southwest.Mean annual temperature and elevation were the key environmental factors influencing the spatial variation of SOC stock in both periods.SOC stocks were mainly stored under Cambosols,Gleyosols and Isohumosols,accounting for 95.6%(1990)and 95.9%(2015).Overall,SOC stocks increased by 471 Tg C during the past 25 years.Our study found that the BRT model employing common environmental factors was the most robust method for forest topsoil SOC stocks inventories.The spatial resolution of BRT model enabled us to pinpoint in which areas of Northeast China that new forest tree planting would be most effective for enhancing forest C stocks.Overall,our approach is likely to be useful in forestry management and ecological restoration at and beyond the regional scale.
文摘In the era of the digital economy,the extensive application of digital technologies has injected new momentum into the commercialization of small and medium-sized museums.However,these museums face numerous bottlenecks in the process of commercialization,making the construction of a digital business ecosystem an imperative.Based on a review of the current status,challenges,and opportunities of the commercialization of small and medium-sized museums,this paper clarifies the significance of constructing a digital business ecosystem.From the perspective of“Culture-Commerce-Tourism”integration,this paper proposes an integrated conceptual framework for the digital business ecosystem of small and medium-sized museums.This system is underpinned by digital technology infrastructure and constructs a five-dimensional collaborative network consisting of museums,government,digital platforms,tourists,and communities.Its core driving force is a spiral value-creation process driven by the deep integration of culture,commerce,and tourism.The ecosystem features technological empowerment of business operations,dynamic equilibrium among actors,and sustainable value co-creation.Based on this framework,the paper proposes practical strategies and recommendations for constructing a digital business ecosystem for small and medium-sized museums.
文摘This paper presents a healthcare application for Brazilian digital television,its main purposes and its reception tests with end users.This is an applied research for testing the scope of the Global ITV project funded by the Brazilian National Council for Scientific and Technological Development(CNPq)and the European community which has developed a hybrid broadband and broadcasting platform.
文摘This research aims to provide an ecosystem-inspired approach to digital transformation(DT)for sustainable innovations by reviewing state-of-the-art research.Focusing on DT innovation pathways for Sustainable Development Goals(SDGs),a DT innovation roadmap incorporating various notions of ecosystems can thus be developed based on the findings in response to advancements in the“Helix”models of innovation and policy progress in green digital transformation.Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)protocol,a bibliographic search was conducted in the Web of Science(WoS)database.A bibliometric analysis was then performed,leading to various science mapping outcomes.The research findings suggest practical DT innovation pathways for stakeholders aiming to achieve SDGs and a DT innovation roadmap to assist researchers in navigating the evolving innovation landscape.Since 2007,research output has experienced rapid growth,especially after 2018,with active contributions from countries such as China,Australia,England,and Italy,as well as affiliations such as Guangzhou Nanfang College,Curtin University,and Harvard University.The findings,including a performance overview,a set of clustering analyses of concepts and themes,the conceptual and intellectual structure,and an SDG identification table,provide the basis for the proposed Green Digital Transformation(GDT)innovation roadmap with DT innovation pathways.This research is the first to conduct a bibliometric analysis and science mapping of the DT literature focusing on innovation and business ecosystems.The proposed GDT innovation roadmap outlines the usefulness of the concept of“ecosystem innovation,”integrating the natural ecosystem,ecosystem services,ecosystem economy,business ecosystem,innovation ecosystem,and digital ecosystems,thereby calling for the eco-design of DT strategies that foster alignment and partnership across sectors and disciplines.
