The article is devoted to the evaluation of fractal properties of routing data in computer large scale networks. Implemented the study of percolation network topological structures of large dimension and made their tr...The article is devoted to the evaluation of fractal properties of routing data in computer large scale networks. Implemented the study of percolation network topological structures of large dimension and made their transformation into fractal macrostructure. An example of calculating the fractal dimension of the data path for the boundary of the phase transition between the states of network connectivity. The dependence of the fractal dimension of the percolation cluster on the size of the square δ-cover and conductivity value network of large dimension. It is shown that for the value of the fractal dimension of the route dc ≈ 1.5, network has a stable dynamics of development and size of clusters are optimized with respect to the current load on the network.展开更多
Objective:To explore the network control mechanism of the calcium signaling pathway in cerebral ischemic injury after intervention by the main components of Qingkailing(清开灵),i.e.Baicalin,Jasminoidin and their combi...Objective:To explore the network control mechanism of the calcium signaling pathway in cerebral ischemic injury after intervention by the main components of Qingkailing(清开灵),i.e.Baicalin,Jasminoidin and their combination.Methods:Thirty mice were randomly divided into 5 groups,a baicalin group,a Jasminoidin group,a baicalin plus Jasminoidin group,a nimodipine group,and a model group(n=6).The global cerebral ischemia-reperfusion mouse model was established.The mice were administrated respectively by injection of baicalin,Jasminoidin,mixture of baicalin and Jasminoidin,and nimodipine into the caudal vein,with the model group given no any drug.Three hours after operation,the brain was removed and sectioned.After calculation of cerebral ischemic area by 2,3,5-triphenyltetrazolium staining,the percentage of infarct volume was calculated.The total RNA of the mouse brain tissue was extracted to obtain the whole genome expression profile,and the differentially expressed genes related to the calcium signaling pathway was analyzed with Bayesian network structures.Results:Compared with the model group,the ischemic area was significantly reduced in the baicalin group,the Jasminoidin group,the Baicalin plus Jasminoidin group(all P<0.05).The ischemic area in the baicalin plus Jasminoidin group was smaller than the other three groups(all P<0.01).In the gene regulatory network structures of calcium signaling pathway,the average length and equitability were the highest in the baicalin plus Jasminoidin group,followed by the nimodipine group.Conclusion:Compared with a single component,combination of Baicalin and Jasminoidin can more obviously intervene in the overall expression of calcium signaling pathway,and the mechanism is related with the aggregation characteristic of the gene expression network.展开更多
A new wave of networks labeled Peer-to-Peer(P2P) networks attracts more researchers and rapidly becomes one of the most popular applications.In order to matching P2 P logical overlay network with physical topology,the...A new wave of networks labeled Peer-to-Peer(P2P) networks attracts more researchers and rapidly becomes one of the most popular applications.In order to matching P2 P logical overlay network with physical topology,the position-based topology has been proposed.The proposed topology not only focuses on non-functional characteristics such as scalability,reliability,fault-tolerance,selforganization,decentralization and fairness,but also functional characteristics are addressed as well.The experimental results show that the hybrid complex topology achieves better characteristics than other complex networks' models like small-world and scale-free models;since most of the real-life networks are both scale-free and small-world networks,it may perform well in mimicking the reality.Meanwhile,it reveals that the authors improve average distance,diameter and clustering coefficient versus Chord and CAN topologies.Finally,the authors show that the proposed topology is the most robust model,against failures and attacks for nodes and edges,versus small-world and scale-free networks.展开更多
Gene co-expression networks provide an important tool for systems biology studies. Using microarray data from the Array Express database, we constructed an Arabidopsis gene co-expression network, termed At GGM2014, ba...Gene co-expression networks provide an important tool for systems biology studies. Using microarray data from the Array Express database, we constructed an Arabidopsis gene co-expression network, termed At GGM2014, based on the graphical Gaussian model, which contains 102,644 co-expression gene pairs among 18,068 genes. The network was grouped into 622 gene co-expression modules. These modules function in diverse house-keeping, cell cycle, development, hormone response, metabolism, and stress response pathways. We developed a tool to facilitate easy visualization of the expression patterns of these modules either in a tissue context or their regulation under different treatment conditions. The results indicate that at least six modules with tissue-specific expression pattern failed to record modular regulation under various stress conditions. This discrepancy could be best explained by the fact that experiments to study plant stress responses focused mainly on leaves and less on roots, and thus failed to recover specific regulation pattern in other tissues. Overall, the modular structures revealed by our network provide extensive information to generate testable hypotheses about diverse plant signaling pathways. At GGM2014 offers a constructive tool for plant systems biology studies.展开更多
This paper constructs a new spectrum of networks by means of the matrix of link-state ofthe network,which can reveal the characteristics of the correlation between the degrees of the network.Also,the computation of th...This paper constructs a new spectrum of networks by means of the matrix of link-state ofthe network,which can reveal the characteristics of the correlation between the degrees of the network.Also,the computation of this spectrum of networks is usually more feasible and more efficient due tothe much lower order of its matrix of link-state than its adjacent matrix in practice.Some estimatesfor the bounds of the key eigenvalues in the spectrum are obtained,the corresponding inequalities arepresented and proved.For the sake of its application,the authors define spectrum of networks in twoways,and all theorems are given in parallel for both kinds of definition.In addition,the authors finda symmetry in the spectrum,which is relative to the characteristic of structure of its network to someextent.展开更多
文摘The article is devoted to the evaluation of fractal properties of routing data in computer large scale networks. Implemented the study of percolation network topological structures of large dimension and made their transformation into fractal macrostructure. An example of calculating the fractal dimension of the data path for the boundary of the phase transition between the states of network connectivity. The dependence of the fractal dimension of the percolation cluster on the size of the square δ-cover and conductivity value network of large dimension. It is shown that for the value of the fractal dimension of the route dc ≈ 1.5, network has a stable dynamics of development and size of clusters are optimized with respect to the current load on the network.
基金supported by the 47th Postdoctoral Fund in China (No. 20100470521)the Independent Selection Project of China Academy of Chinese Medical Sciences (No. Z02154)by China National Scientific Fundation (No. 81001596)
文摘Objective:To explore the network control mechanism of the calcium signaling pathway in cerebral ischemic injury after intervention by the main components of Qingkailing(清开灵),i.e.Baicalin,Jasminoidin and their combination.Methods:Thirty mice were randomly divided into 5 groups,a baicalin group,a Jasminoidin group,a baicalin plus Jasminoidin group,a nimodipine group,and a model group(n=6).The global cerebral ischemia-reperfusion mouse model was established.The mice were administrated respectively by injection of baicalin,Jasminoidin,mixture of baicalin and Jasminoidin,and nimodipine into the caudal vein,with the model group given no any drug.Three hours after operation,the brain was removed and sectioned.After calculation of cerebral ischemic area by 2,3,5-triphenyltetrazolium staining,the percentage of infarct volume was calculated.The total RNA of the mouse brain tissue was extracted to obtain the whole genome expression profile,and the differentially expressed genes related to the calcium signaling pathway was analyzed with Bayesian network structures.Results:Compared with the model group,the ischemic area was significantly reduced in the baicalin group,the Jasminoidin group,the Baicalin plus Jasminoidin group(all P<0.05).The ischemic area in the baicalin plus Jasminoidin group was smaller than the other three groups(all P<0.01).In the gene regulatory network structures of calcium signaling pathway,the average length and equitability were the highest in the baicalin plus Jasminoidin group,followed by the nimodipine group.Conclusion:Compared with a single component,combination of Baicalin and Jasminoidin can more obviously intervene in the overall expression of calcium signaling pathway,and the mechanism is related with the aggregation characteristic of the gene expression network.
文摘A new wave of networks labeled Peer-to-Peer(P2P) networks attracts more researchers and rapidly becomes one of the most popular applications.In order to matching P2 P logical overlay network with physical topology,the position-based topology has been proposed.The proposed topology not only focuses on non-functional characteristics such as scalability,reliability,fault-tolerance,selforganization,decentralization and fairness,but also functional characteristics are addressed as well.The experimental results show that the hybrid complex topology achieves better characteristics than other complex networks' models like small-world and scale-free models;since most of the real-life networks are both scale-free and small-world networks,it may perform well in mimicking the reality.Meanwhile,it reveals that the authors improve average distance,diameter and clustering coefficient versus Chord and CAN topologies.Finally,the authors show that the proposed topology is the most robust model,against failures and attacks for nodes and edges,versus small-world and scale-free networks.
基金supported by US National Science Foundation grants DBI-0723722 and DBI-1042344 to SPDKUC Davis funds to SPDK
文摘Gene co-expression networks provide an important tool for systems biology studies. Using microarray data from the Array Express database, we constructed an Arabidopsis gene co-expression network, termed At GGM2014, based on the graphical Gaussian model, which contains 102,644 co-expression gene pairs among 18,068 genes. The network was grouped into 622 gene co-expression modules. These modules function in diverse house-keeping, cell cycle, development, hormone response, metabolism, and stress response pathways. We developed a tool to facilitate easy visualization of the expression patterns of these modules either in a tissue context or their regulation under different treatment conditions. The results indicate that at least six modules with tissue-specific expression pattern failed to record modular regulation under various stress conditions. This discrepancy could be best explained by the fact that experiments to study plant stress responses focused mainly on leaves and less on roots, and thus failed to recover specific regulation pattern in other tissues. Overall, the modular structures revealed by our network provide extensive information to generate testable hypotheses about diverse plant signaling pathways. At GGM2014 offers a constructive tool for plant systems biology studies.
基金supported by the Key Project for Fundamental Research of STCSM under Grant No. 06JC14057
文摘This paper constructs a new spectrum of networks by means of the matrix of link-state ofthe network,which can reveal the characteristics of the correlation between the degrees of the network.Also,the computation of this spectrum of networks is usually more feasible and more efficient due tothe much lower order of its matrix of link-state than its adjacent matrix in practice.Some estimatesfor the bounds of the key eigenvalues in the spectrum are obtained,the corresponding inequalities arepresented and proved.For the sake of its application,the authors define spectrum of networks in twoways,and all theorems are given in parallel for both kinds of definition.In addition,the authors finda symmetry in the spectrum,which is relative to the characteristic of structure of its network to someextent.
