The inter-agency government information sharing(IAGIS)plays an important role in improving service and efficiency of government agencies.Currently,there is still no effective and secure way for data-driven IAGIS to fu...The inter-agency government information sharing(IAGIS)plays an important role in improving service and efficiency of government agencies.Currently,there is still no effective and secure way for data-driven IAGIS to fulfill dynamic demands of information sharing between government agencies.Motivated by blockchain and data mining,a data-driven framework is proposed for IAGIS in this paper.Firstly,the blockchain is used as the core to design the whole framework for monitoring and preventing leakage and abuse of government information,in order to guarantee information security.Secondly,a four-layer architecture is designed for implementing the proposed framework.Thirdly,the classical data mining algorithms PageRank and Apriori are applied to dynamically design smart contracts for information sharing,for the purposed of flexibly adjusting the information sharing strategies according to the practical demands of government agencies for public management and public service.Finally,a case study is presented to illustrate the operation of the proposed framework.展开更多
Embodiment theories proposed that the comprehension of language involves sensory-motor simulation in the brain.The present study examined the brain response to motor compatibility effect in comprehending action-relate...Embodiment theories proposed that the comprehension of language involves sensory-motor simulation in the brain.The present study examined the brain response to motor compatibility effect in comprehending action-related linguistic materials for participants learning Chinese as a second language(L2).In this study,participants are required to read action-related sentences describing an agent performing two manual actions simultaneously or sequentially by manipulating temporal conjunctions.The sentences with simultaneous actions are marked by Chinese parallel structure一边……一边……(“while”)showing non-congruent motor condition while the sequential action sentences are marked by先……然后……(“after”)showing congruent motor condition.Event-Related Potentials(ERPs)were recorded with the second verb phrase.A larger fronto-central late positivity was observed for the sentences with simultaneous actions rather than the sentences with sequential actions due to body constraints,revealing that late L2 Chinese learners integrate embodied knowledge while processing action-related complex sentence despite demanding more cognitive resources,and longer processing time.展开更多
基金Supported by the Project of Guangdong Science and Technology Department(2020B010166005)the Post-Doctoral Research Project(Z000158)+2 种基金the Ministry of Education Social Science Fund(22YJ630167)the Fund project of Department of Science and Technology of Guangdong Province(GDK TP2021032500)the Guangdong Philosophy and Social Science(GD22YYJ15).
文摘The inter-agency government information sharing(IAGIS)plays an important role in improving service and efficiency of government agencies.Currently,there is still no effective and secure way for data-driven IAGIS to fulfill dynamic demands of information sharing between government agencies.Motivated by blockchain and data mining,a data-driven framework is proposed for IAGIS in this paper.Firstly,the blockchain is used as the core to design the whole framework for monitoring and preventing leakage and abuse of government information,in order to guarantee information security.Secondly,a four-layer architecture is designed for implementing the proposed framework.Thirdly,the classical data mining algorithms PageRank and Apriori are applied to dynamically design smart contracts for information sharing,for the purposed of flexibly adjusting the information sharing strategies according to the practical demands of government agencies for public management and public service.Finally,a case study is presented to illustrate the operation of the proposed framework.
文摘Embodiment theories proposed that the comprehension of language involves sensory-motor simulation in the brain.The present study examined the brain response to motor compatibility effect in comprehending action-related linguistic materials for participants learning Chinese as a second language(L2).In this study,participants are required to read action-related sentences describing an agent performing two manual actions simultaneously or sequentially by manipulating temporal conjunctions.The sentences with simultaneous actions are marked by Chinese parallel structure一边……一边……(“while”)showing non-congruent motor condition while the sequential action sentences are marked by先……然后……(“after”)showing congruent motor condition.Event-Related Potentials(ERPs)were recorded with the second verb phrase.A larger fronto-central late positivity was observed for the sentences with simultaneous actions rather than the sentences with sequential actions due to body constraints,revealing that late L2 Chinese learners integrate embodied knowledge while processing action-related complex sentence despite demanding more cognitive resources,and longer processing time.
