Abstract:In this paper, we construct a disease network of mental retardation that integrates human PPI network and known disease-causing genes. The human PPI network is regarded as the background of the disease network, and the known disease-causing genes of mental retardation are embedded in the background based on the correspondences between the genes and their protein products. We determine the modular organization of this disease network by the way that the known disease-causing genes are considered as the "seeds", which can be extended by the procedures of Markov cluster algorithm (MCL) and Clique percolation method (CPM) respectively to identify disease genes associated modular structures. The results show that 28 modular structures are detected, and 32.14% of them correspond to well-known human protein complexes. We find that the genes within these modular structures have higher homogeneity in biological process, molecular function and cellular component of Gene Ontology (GO). In addition, the known disease genes as the hubs of the modular structures always correspond to housekeeping genes (maintenance genes) that are ubiquitously expressed widely in most human tissues, and the hub genes are often the essential genes that play special role in the cellular life. We also find that 78.57% of the modular structures participate in multiple Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and the hub genes perform a very important part in the pathways.

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	1. The Modular Organization of Mental Retardation Disease Network
	SUN Penggang
	Information Science and System Science 12 February 2014
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	Abstract:In this paper, we construct a disease network of mental retardation that integrates human PPI network and known disease-causing genes. The human PPI network is regarded as the background of the disease network, and the known disease-causing genes of mental retardation are embedded in the background based on the correspondences between the genes and their protein products. We determine the modular organization of this disease network by the way that the known disease-causing genes are considered as the "seeds", which can be extended by the procedures of Markov cluster algorithm (MCL) and Clique percolation method (CPM) respectively to identify disease genes associated modular structures. The results show that 28 modular structures are detected, and 32.14% of them correspond to well-known human protein complexes. We find that the genes within these modular structures have higher homogeneity in biological process, molecular function and cellular component of Gene Ontology (GO). In addition, the known disease genes as the hubs of the modular structures always correspond to housekeeping genes (maintenance genes) that are ubiquitously expressed widely in most human tissues, and the hub genes are often the essential genes that play special role in the cellular life. We also find that 78.57% of the modular structures participate in multiple Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and the hub genes perform a very important part in the pathways.
	TO cite this article:SUN Penggang. The Modular Organization of Mental Retardation Disease Network[OL].[12 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4585010


	2. Secure Communication Based on Chua's Circuits with Memristors
	WEN Shiping,ZENG Zhigang
	Information Science and System Science 22 January 2014
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	Abstract:In this paper, a new way is proposed to transmit and retrieve an information-bearing signal which is achieved by using the conventional synchronization of chaos and digital encryption approaches. A memristor-based Chua's circuit is employed to generate a digital key. By considering appropriate circuit configuration, the simulation results are presented.
	TO cite this article:WEN Shiping,ZENG Zhigang. Secure Communication Based on Chua's Circuits with Memristors[OL].[22 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4576239

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	3. Secure Network Coding Near Max Flow
	Li Hui,Zhou Yejun
	Information Science and System Science 06 January 2014
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	Abstract:In this paper, a perfect information theoritical secure network coding scheme against the eavesdropping adversaries is proposed. We show that, if the number of channels the adversaries can eavesdrop on is less than the max-flow of a network, the max-flow of the network can be achieved. We also show that the proposed coding scheme has the property of being universal. All the coding scheme need is to reduce a small amount of overall capacity and a slightly modify the processing in the source and destinations, the operations at the intermediate nodes need not to be changed.
	TO cite this article:Li Hui,Zhou Yejun. Secure Network Coding Near Max Flow[OL].[ 6 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4579989


	4. Quantum teleportation and state sharing via a generalized seven-qubit Brown state
	Kang Shuang-Yong,Chen Xiu-Bo,Yang Yi-Xian
	Information Science and System Science 06 January 2014
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	Abstract:In this paper, a novel scheme is investigated for quantum teleportation (QT) and quantum state sharing (QSTS). The generalized seven-qubit Brown state $\|B_{7} angle$ is used as information carrier. Firstly, for an arbitrary single-qubit state, we perfectly present a QT protocol and three QSTS ones, which is among three participants via $\|B_{7} angle$. Then we make an overall comparison among three QSTS protocols and present an almost even distribution principle of particles. Secondly, for two- and three- qubit cases, based on the almost even distribution principle we design several QT and QSTS protocols.%Finally, we mainly consider our scheme's security against dishonest participant attacks.Furthermore, for an arbitrary $N$-qubit state, there is a conjecture that QT and QSTS can be designed by using the generalized $(2N+1)$-qubit Brown state $\|B_{2N+1} angle$ in Eq.(3) ($Ngeq2$) in theoretical aspects.
	TO cite this article:Kang Shuang-Yong,Chen Xiu-Bo,Yang Yi-Xian. Quantum teleportation and state sharing via a generalized seven-qubit Brown state[OL].[ 6 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4574567


	5. First Order Analytical Model for Deterministic Jitter in Digital-to-Analogue Converters
	GUO Yawei,ZHANG Zhang,HUI Zhida,ZENG Xiaoyang,CHENG Xu
	Information Science and System Science 24 December 2013
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	Abstract:This paper proposes a 1st order analytical model describing the effects of deterministic jitter on digital-to-analogue converters (DACs). By considering the 1st order settling process, this model analytically reconstructs the spectrum of the output of a DAC that is loaded with R-C and sampled by a deterministically jittered clock. As verified by MATLAB, the proposed model provides a fast way to calculate the spectrum of deterministic jitter with good accuracy.
	TO cite this article:GUO Yawei,ZHANG Zhang,HUI Zhida, et al. First Order Analytical Model for Deterministic Jitter in Digital-to-Analogue Converters[OL].[24 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4572987


	6. Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows
	Gao Zhongke,Zhang Xinwang,Jin Ningde,Donner Reik V.,Marwan Norbert,Kurths Jürgen
	Information Science and System Science 07 August 2013
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	Abstract:Characterizing the mechanism of drop formation at the interface of horizontal oil-water stratified flows is a fundamental problem eliciting a great deal of attention from different disciplines. We experimentally and theoretically investigate the formation and transition of horizontal oil-water stratified flows. We design a new multi-sector conductance sensor and measure multivariate signals from two different stratified flow patterns. Using the Adaptive Optimal Kernel Time-Frequency Representation (AOK TFR) we first characterize flow behavior from the energy and frequency point of view. Then, we infer multivariate recurrence networks from experimental data and investigate the cross-transitivity for each constructed network. We find that the cross-transitivity from recurrence network analysis allows quantitatively uncovering the flow behavior when the stratified flow evolves from stable state to unstable state and recovers deeper insights into the mechanism governing the formation of drops at the interface of stratified flows, a task that existing method based on AOK TFR fails to work. These interesting and significant findings present a first step towards an improved understanding of the dynamic mechanism leading to the transition of horizontal oil-water stratified flows from a complex network perspective
	TO cite this article:Gao Zhongke,Zhang Xinwang,Jin Ningde, et al. Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows[J].


	7. Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow
	Gao Zhongke,Zhang Xinwang,Jin Ningde,Marwan Norbert,Kurths Jürgen
	Information Science and System Science 25 July 2013
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	Abstract:Characterizing complex patterns arising from horizontal oil-water two-phase flows is a contemporary and challenging problem of paramount importance. We design a new multi-sector conductance sensor and systematically carry out horizontal oil-water two-phase flow experiments for measuring multivariate signals of different flow patterns. We then infer multivariate recurrence networks from these experimental data and investigate local cross-network properties for each constructed network. Our results demonstrate that local cross-clustering coefficient from a multivariate recurrence network is very sensitive to transitions among different flow patterns and recovers quantitative insights into the flow behavior underlying horizontal oil-water flows. These properties render multivariate recurrence networks particularly powerful for investigating a horizontal oil-water two-phase flow system and its complex interacting components from a network perspective.
	TO cite this article:Gao Zhongke,Zhang Xinwang,Jin Ningde, et al. Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow[J].


	8. On Combining Trilinear Decomposition and ICA
	GONG Xiaofeng,HAO Yana,LIN Qiuhua,LIU Zhiwen,XU Yougen
	Information Science and System Science 16 June 2013
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	Abstract:We present a new canonical polyadic decomposition (CPD) algorithm to exploit both source statistical independence and trilinear structure of a three-way tensor based on independent component analysis (ICA) and joint diagonalization (JD). More exactly, ICA is first performed on the matricized tensor to exploit the statistical independence in one mode, JD is then carried out upon the initial ICA results to restore the trilinear structure of the original tensor, and rank-1 approximation is finally used to extract the parallel factors. The proposed algorithm is able to overcome the converging difficulties of standard CPD in the presence of collinearities. Moreover, it is able to exploit the trilinearity of the target tensor more thoroughly than existing methods that combine CPD and ICA, and thus is less sensitive to the incorporated ICA stage than these methods. Simulations are provided to compare the proposed algorithm with both standard CPD algorithms and algorithms that combine CPD and ICA.
	TO cite this article:GONG Xiaofeng,HAO Yana,LIN Qiuhua, et al. On Combining Trilinear Decomposition and ICA[OL].[16 June 2013] http://en.paper.edu.cn/en_releasepaper/content/4548303


	9. Beamforming Weight Vectors Designing for 60 GHz Wireless Communication Systems
	Forgin Harlad Komba,Xu Pingping,Chu Hongyun
	Information Science and System Science 19 April 2013
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	Abstract:In this paper, we design codebooks for supporting beamforming in 60 GHz frequency band. The proposed codebooks support both discrete and continuous phase resolution, respectively. The codebooks with discrete resolution were derived following the concept initiated by TG3c in IEEE 802.15.3c standard while the codebook with continuous resolution is based on Kaiser-Bessel windowing function. The designed codebooks give weight vectors that have reasonable level of side lobe and can be used in 60 GHz systems employing analog and digital phase shifters. The codebooks were created by considering the main features of linear array such as array gain, side lobe level, directivity loss and half-power beamwidth of the radiation pattern. The simulation results show that the weight vectors of the designed codebooks improve the performance of linear arrays in terms of power of side lobe, directivity loss, and output SNR of beamforming receiver. The designed weight vectors are frequency independent; in this case, they are both applicable in wideband and narrowband beamforming systems.
	TO cite this article:Forgin Harlad Komba,Xu Pingping,Chu Hongyun. Beamforming Weight Vectors Designing for 60 GHz Wireless Communication Systems[OL].[19 April 2013] http://en.paper.edu.cn/en_releasepaper/content/4537723


	10. An Improved ORNAM Representation of Gray Images
	ZHENG Yunping,Mudar Sarem
	Information Science and System Science 02 April 2013
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	Abstract:An efficient image representation can save space and facilitate the manipulation of the acquired images. Recently, we have presented an efficient gray image representation method by using the overlapping rectangular non-symmetry and anti-packing model and the extended Gouraud shading approach, which was called ORNAM representation. In order to further improve the reconstructed image quality and reduce the number of the homogeneous blocks of the ORNAM representation, in this paper, we propose an Improved ORNAM representation of gray images, which is called IORNAM representation. Compared with most of the up-to-date and the state-of-the-art hierarchical representation methods, the IORNAM representation is characterized by two properties. (1) It adopts a ratio parameter of the length and the width of a homogenous block to improve the reconstructed image quality. (2) It uses a new expansion method to anti-pack the subpatterns of gray images to further decrease the number of homogenous blocks, which is important for improving the compression ratios of image representation and reducing the complexities of many image manipulation algorithms. The experimental results presented in this paper demonstrate that (1) The IORNAM representation is able to achieve high representation efficiency for gray images. (2) The IORNAM representation outperforms most of the up-to-date and the state-of-the-art hierarchical representation methods of gray images.
	TO cite this article:ZHENG Yunping,Mudar Sarem. An Improved ORNAM Representation of Gray Images[OL].[ 2 April 2013] http://en.paper.edu.cn/en_releasepaper/content/4534073

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