There is a growing in number of operations in aviation all over the world.This growing is increasing the necessity of innovation and new technology to respond the increment of the demand.As a respond of this demand,FA...There is a growing in number of operations in aviation all over the world.This growing is increasing the necessity of innovation and new technology to respond the increment of the demand.As a respond of this demand,FAA(Federal Aviation Administration)is working with NextGen in the United States and the EUROCONTROL is implementing the Point Merge as solution in the air traffic flow management in Europe.However,the FAA alternative and EUROCONTROL alternative are not mutually exclusive since Panama,a small country in Latin America,is trying to use a combination between the vectoring approach and the Point Merge in the air traffic flow management.In addition,the AAC(Autoridad de Aereonautica Civil)and the Tocumen(Tocumen International Airport)are working in a continuous collaboration between FAA and Panama with the mutual challenge to improve the actual system.As a result,the main airline of Panama,the Compania Panamena de Aviacion(COPA Airlines),and the Autoridad de Aeronautica Civil(AAC)constructed a simulation model to select an air traffic flow alternative that can be able to change the actual situation.In other words,COPA Airlines and AAC are pursuing the minimization of the numbers of conflicts,the number of sequence actions,the flight time,the track flight distance and the fuel burn.Furthermore,this study aims to use the final draft of this previous analysis based on a simulation methodology to conduct a Design and Analysis of Computer Experiments with the final objective to increment the statistical significance of the actual model.展开更多
Space-borne gravitational wave(GW)detectors can detect the merger of massive black holes.The early warning and localization of GW events before merging can be used to inform electromagnetic telescopes and conduct mult...Space-borne gravitational wave(GW)detectors can detect the merger of massive black holes.The early warning and localization of GW events before merging can be used to inform electromagnetic telescopes and conduct multimessenger observations.However,this requires real-time data transmission and analysis capabilities.The geocentric orbit of the space-borne GW detector Tian Qin makes it possible to conduct real-time data transmission.In this study,we develop a search and localization pipeline for massive black hole binaries(MBHBs)with Tian Qin under both regular and real-time data transmission modes.We demonstrate that,with real-time data transmission,MBHBs can be accurately localized on the fly.With the approaching merger,each analysis can be finished in only 40 min.For an MBHB system at a distance of 1 Gpc,if we receive data every hour,then we can pinpoint its location to within less than 1 deg^(2)on the final day before the merger.展开更多
Managers'characteristics have been identified to have an influence on how they perceive innovation.This study examines the role of top managers'experience and how it influences their propensity to innovate.It ...Managers'characteristics have been identified to have an influence on how they perceive innovation.This study examines the role of top managers'experience and how it influences their propensity to innovate.It employs a logit model to analyze data from the World Bank's Enterprise Surveys,primarily from small-and medium-sized enterprises in Russia.We justify the positive effect of managers'years of experience as an influential factor of enterprises'innovativeness in developing countries.The results show that top managers'years of experience directly affect innovation.展开更多
This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramaticall...This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good.展开更多
The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transaction...The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transactions of R&D-embodied products(innovations)are weighted matrixes where the interindustry flows measure the intensity of the innovation diffusion.In the past,studies using this approach in innovation studies have transformed weighted matrixes into binary matrixes of zero and one element where the flows less than a selected threshold value were considered to be zero and the flows greater than the threshold value were counted as one.Such matrix transformation leads to the loss of a great deal of information.In the present study,using degree and clustering coefficients for both binary direct as well as weighted direct techno-economic networks of the manufacturing sector of the German economy,we show that the binary directed network analysis is incapable of refined ranking of interindustry innovation transactions.The total degree index based on the weighted network of the German techno-economic system assigns a unique ranking to each sector,and clustering coefficients show that at least 75%of sectors in the network of Germany have two links with the other industries.However,the same indices based on the binary network are incapable of such refined ranking.展开更多
Using Xinbei Branch of Changzhou Municipal Bureau of Urban Planning as a case,this study carefully examines how organizations innovate in China's urban planning management.The study builds itself upon a network an...Using Xinbei Branch of Changzhou Municipal Bureau of Urban Planning as a case,this study carefully examines how organizations innovate in China's urban planning management.The study builds itself upon a network analysis of the data collected through a survey of all the relevant members about their working relationships after their organizational reform.It shows that,with regional competition for economic development,the local government departments in developed areas tend to actively seek opportunities for organizational innovation in order to ensure planning management effectiveness and promote planning implementation efficiency.The reform measures and their effects are carefully examined for identifying lessons and experiences in planning implementation in China.展开更多
文摘There is a growing in number of operations in aviation all over the world.This growing is increasing the necessity of innovation and new technology to respond the increment of the demand.As a respond of this demand,FAA(Federal Aviation Administration)is working with NextGen in the United States and the EUROCONTROL is implementing the Point Merge as solution in the air traffic flow management in Europe.However,the FAA alternative and EUROCONTROL alternative are not mutually exclusive since Panama,a small country in Latin America,is trying to use a combination between the vectoring approach and the Point Merge in the air traffic flow management.In addition,the AAC(Autoridad de Aereonautica Civil)and the Tocumen(Tocumen International Airport)are working in a continuous collaboration between FAA and Panama with the mutual challenge to improve the actual system.As a result,the main airline of Panama,the Compania Panamena de Aviacion(COPA Airlines),and the Autoridad de Aeronautica Civil(AAC)constructed a simulation model to select an air traffic flow alternative that can be able to change the actual situation.In other words,COPA Airlines and AAC are pursuing the minimization of the numbers of conflicts,the number of sequence actions,the flight time,the track flight distance and the fuel burn.Furthermore,this study aims to use the final draft of this previous analysis based on a simulation methodology to conduct a Design and Analysis of Computer Experiments with the final objective to increment the statistical significance of the actual model.
基金supported by the Guangdong Major Project of Basic and Applied Basic Research(Grant No.2019B030302001)and the National Natural Science Foundation of China(Grant Nos.12173104,and 12261131504)。
文摘Space-borne gravitational wave(GW)detectors can detect the merger of massive black holes.The early warning and localization of GW events before merging can be used to inform electromagnetic telescopes and conduct multimessenger observations.However,this requires real-time data transmission and analysis capabilities.The geocentric orbit of the space-borne GW detector Tian Qin makes it possible to conduct real-time data transmission.In this study,we develop a search and localization pipeline for massive black hole binaries(MBHBs)with Tian Qin under both regular and real-time data transmission modes.We demonstrate that,with real-time data transmission,MBHBs can be accurately localized on the fly.With the approaching merger,each analysis can be finished in only 40 min.For an MBHB system at a distance of 1 Gpc,if we receive data every hour,then we can pinpoint its location to within less than 1 deg^(2)on the final day before the merger.
文摘Managers'characteristics have been identified to have an influence on how they perceive innovation.This study examines the role of top managers'experience and how it influences their propensity to innovate.It employs a logit model to analyze data from the World Bank's Enterprise Surveys,primarily from small-and medium-sized enterprises in Russia.We justify the positive effect of managers'years of experience as an influential factor of enterprises'innovativeness in developing countries.The results show that top managers'years of experience directly affect innovation.
文摘This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good.
基金We thank the anonymous referees for their constructive comments on an earlier version of this paper.
文摘The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transactions of R&D-embodied products(innovations)are weighted matrixes where the interindustry flows measure the intensity of the innovation diffusion.In the past,studies using this approach in innovation studies have transformed weighted matrixes into binary matrixes of zero and one element where the flows less than a selected threshold value were considered to be zero and the flows greater than the threshold value were counted as one.Such matrix transformation leads to the loss of a great deal of information.In the present study,using degree and clustering coefficients for both binary direct as well as weighted direct techno-economic networks of the manufacturing sector of the German economy,we show that the binary directed network analysis is incapable of refined ranking of interindustry innovation transactions.The total degree index based on the weighted network of the German techno-economic system assigns a unique ranking to each sector,and clustering coefficients show that at least 75%of sectors in the network of Germany have two links with the other industries.However,the same indices based on the binary network are incapable of such refined ranking.
基金the project of Research on City Strategic Planning Decision-Making and Implementation Process from the Perspective of Policy Network sponsored by the National Natural Sciences Foundation of China(No.71373277)Coordinating to Support Construction of First-Grade University and First-Grade Discipline sponsored by China Renmin University
文摘Using Xinbei Branch of Changzhou Municipal Bureau of Urban Planning as a case,this study carefully examines how organizations innovate in China's urban planning management.The study builds itself upon a network analysis of the data collected through a survey of all the relevant members about their working relationships after their organizational reform.It shows that,with regional competition for economic development,the local government departments in developed areas tend to actively seek opportunities for organizational innovation in order to ensure planning management effectiveness and promote planning implementation efficiency.The reform measures and their effects are carefully examined for identifying lessons and experiences in planning implementation in China.
