Alzheimer’s disease is a primary age-related neurodegenerative disorder that can result in impaired cognitive and memory functions.Although connections between changes in brain networks of Alzheimer’s disease patien...Alzheimer’s disease is a primary age-related neurodegenerative disorder that can result in impaired cognitive and memory functions.Although connections between changes in brain networks of Alzheimer’s disease patients have been established,the mechanisms that drive these alterations remain incompletely understood.This study,which was conducted in 2018 at Northeastern University in China,included data from 97 participants of the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset covering genetics,imaging,and clinical data.All participants were divided into two groups:normal control(n=52;20 males and 32 females;mean age 73.90±4.72 years)and Alzheimer’s disease(n=45,23 males and 22 females;mean age 74.85±5.66).To uncover the wiring mechanisms that shaped changes in the topology of human brain networks of Alzheimer’s disease patients,we proposed a local naive Bayes brain network model based on graph theory.Our results showed that the proposed model provided an excellent fit to observe networks in all properties examined,including clustering coefficient,modularity,characteristic path length,network efficiency,betweenness,and degree distribution compared with empirical methods.This proposed model simulated the wiring changes in human brain networks between controls and Alzheimer’s disease patients.Our results demonstrate its utility in understanding relationships between brain tissue structure and cognitive or behavioral functions.The ADNI was performed in accordance with the Good Clinical Practice guidelines,US 21 CFR Part 50-Protection of Human Subjects,and Part 56-Institutional Review Boards(IRBs)/Research Good Clinical Practice guidelines Institutional Review Boards(IRBs)/Research Ethics Boards(REBs).展开更多
This paper proposes the new definition of the community structure of the weighted networks that groups of nodes in which the edge＇s weights distribute uniformly but at random between them. It can describe the steady ...This paper proposes the new definition of the community structure of the weighted networks that groups of nodes in which the edge＇s weights distribute uniformly but at random between them. It can describe the steady connections between nodes or some similarity between nodes＇ functions effectively. In order to detect the community structure efficiently, a threshold coefficient t~ to evaluate the equivalence of edges＇ weights and a new weighted modularity based on the weight＇s similarity are proposed. Then, constructing the weighted matrix and using the agglomerative mechanism, it presents a weight＇s agglomerative method based on optimizing the modularity to detect communities. For a network with n nodes, the algorithm can detect the community structure in time O（n2 log~）. Simulations on networks show that the algorithm has higher accuracy and precision than the existing techniques. Furthermore, with the change of t~ the algorithm discovers a special hierarchical organization which can describe the various steady connections between nodes in groups.展开更多
ZTE Corporation announced on January 18, 2010 that it has successfully constructed and launched the world＇s first commercial Evolution Data Optimized （EV-DO） Rev.B network. Together with Smart Telecom, one of Indon...ZTE Corporation announced on January 18, 2010 that it has successfully constructed and launched the world＇s first commercial Evolution Data Optimized （EV-DO） Rev.B network. Together with Smart Telecom, one of Indonesia＇ s CDMA telecommunication service providers, and Qualcomm, the leading developer and innovator of advanced wireless technologies and data solutions, the network has been launched in Bali, Indonesia recently.展开更多
through the design of teaching aerobics web-based course and application practice, the instructional design process based on B/ S learning are analyzed, and discusses several key problems in the design and teaching. T...through the design of teaching aerobics web-based course and application practice, the instructional design process based on B/ S learning are analyzed, and discusses several key problems in the design and teaching. This paper presents the resource based learning aerobics teaching design network course should adapt to the application mode of network teaching and traditional classroom combination; that will provide teaching demonstration, teaching contents for students as well as the function of self testing evaluation and provide the job management, teacher online Q ＆ A, database and knowledge base construction, greatly improving the ＂aerobics＂ teaching efficiency.展开更多
through the teaching design of online course quality and application practice, the instructional design process based on B/S learning are analyzed, and discusses several key problems in the design and teaching. The pr...through the teaching design of online course quality and application practice, the instructional design process based on B/S learning are analyzed, and discusses several key problems in the design and teaching. The proposed resource-based learning teaching design network course should adapt to the application mode of network teaching and traditional classroom combination; will provide teaching demonstration, teaching content self testing evaluation for students, and to provide jobs for teachers management, online Q ＆ A, BBS, database and knowledge construction and other functions, greatly improving the efficiency of teaching ＂excellent course＂ .展开更多
This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technica...This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technical principles and applications. Mixed B/S structure mode development to achieve information management, energy consumption is forecast to show the query using the amomat of energy, energy supply and demand dynamic equilibrimn analysis and other functions, with simple, efficient, easy to operate and so on, and has good scalability and maintainability.展开更多
基金Fundamental Research Funds for the Central Universities in China,No.N161608001 and No.N171903002
文摘Alzheimer’s disease is a primary age-related neurodegenerative disorder that can result in impaired cognitive and memory functions.Although connections between changes in brain networks of Alzheimer’s disease patients have been established,the mechanisms that drive these alterations remain incompletely understood.This study,which was conducted in 2018 at Northeastern University in China,included data from 97 participants of the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset covering genetics,imaging,and clinical data.All participants were divided into two groups:normal control(n=52;20 males and 32 females;mean age 73.90±4.72 years)and Alzheimer’s disease(n=45,23 males and 22 females;mean age 74.85±5.66).To uncover the wiring mechanisms that shaped changes in the topology of human brain networks of Alzheimer’s disease patients,we proposed a local naive Bayes brain network model based on graph theory.Our results showed that the proposed model provided an excellent fit to observe networks in all properties examined,including clustering coefficient,modularity,characteristic path length,network efficiency,betweenness,and degree distribution compared with empirical methods.This proposed model simulated the wiring changes in human brain networks between controls and Alzheimer’s disease patients.Our results demonstrate its utility in understanding relationships between brain tissue structure and cognitive or behavioral functions.The ADNI was performed in accordance with the Good Clinical Practice guidelines,US 21 CFR Part 50-Protection of Human Subjects,and Part 56-Institutional Review Boards(IRBs)/Research Good Clinical Practice guidelines Institutional Review Boards(IRBs)/Research Ethics Boards(REBs).
基金supported by the Fundamental Research Funds for the Central Universities (Grant Nos. KYZ200916,KYZ200919 and KYZ201005)the Youth Sci-Tech Innovation Fund,Nanjing Agricultural University (Grant No. KJ2010024)
文摘This paper proposes the new definition of the community structure of the weighted networks that groups of nodes in which the edge＇s weights distribute uniformly but at random between them. It can describe the steady connections between nodes or some similarity between nodes＇ functions effectively. In order to detect the community structure efficiently, a threshold coefficient t~ to evaluate the equivalence of edges＇ weights and a new weighted modularity based on the weight＇s similarity are proposed. Then, constructing the weighted matrix and using the agglomerative mechanism, it presents a weight＇s agglomerative method based on optimizing the modularity to detect communities. For a network with n nodes, the algorithm can detect the community structure in time O（n2 log~）. Simulations on networks show that the algorithm has higher accuracy and precision than the existing techniques. Furthermore, with the change of t~ the algorithm discovers a special hierarchical organization which can describe the various steady connections between nodes in groups.
文摘ZTE Corporation announced on January 18, 2010 that it has successfully constructed and launched the world＇s first commercial Evolution Data Optimized （EV-DO） Rev.B network. Together with Smart Telecom, one of Indonesia＇ s CDMA telecommunication service providers, and Qualcomm, the leading developer and innovator of advanced wireless technologies and data solutions, the network has been launched in Bali, Indonesia recently.
文摘through the design of teaching aerobics web-based course and application practice, the instructional design process based on B/ S learning are analyzed, and discusses several key problems in the design and teaching. This paper presents the resource based learning aerobics teaching design network course should adapt to the application mode of network teaching and traditional classroom combination; that will provide teaching demonstration, teaching contents for students as well as the function of self testing evaluation and provide the job management, teacher online Q ＆ A, database and knowledge base construction, greatly improving the ＂aerobics＂ teaching efficiency.
文摘through the teaching design of online course quality and application practice, the instructional design process based on B/S learning are analyzed, and discusses several key problems in the design and teaching. The proposed resource-based learning teaching design network course should adapt to the application mode of network teaching and traditional classroom combination; will provide teaching demonstration, teaching content self testing evaluation for students, and to provide jobs for teachers management, online Q ＆ A, BBS, database and knowledge construction and other functions, greatly improving the efficiency of teaching ＂excellent course＂ .
文摘This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technical principles and applications. Mixed B/S structure mode development to achieve information management, energy consumption is forecast to show the query using the amomat of energy, energy supply and demand dynamic equilibrimn analysis and other functions, with simple, efficient, easy to operate and so on, and has good scalability and maintainability.
