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- 저자 : Zhu Suxia (검색결과 4 건)
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( Suxia Bao ),( Jianming Zheng ),( Ning Li ),( Chong Huang ),( Mingquan Chen ),( Qi Cheng ),( Kangkang Yu ),( Shengshen Chen ),( Mengqi Zhu ),( Guangfeng Shi ) 대한간학회 2017 Gut and Liver Vol.11 No.6
Background/Aims: To investigate the role of selected serum microRNA (miRNA) levels as potential noninvasive biomark ers for differentiating S0-S2 (early fibrosis) from S3-S4 (late fibrosis) in patients with a chronic hepatitis B virus (HBV) infection. Methods: One hundred twenty-three treatment-naive patients with a chronic HBV infection who underwent a liver biopsy were enrolled in this study. The levels of selected miRNAs were measured using a real-time quantitative poly merase chain reaction assay. A logistic regression analysis was performed to assess factors associated with fibrosis progression. Receiver operating characteristic (ROC) curve and discriminant analyses validated these the ability of these predicted variables to discriminate S0-S2 from S3-S4. Re sults: Serum miR-29, miR-143, miR-223, miR-21, and miR-374 levels were significantly downregulated as fibrosis pro gressed from S0-S2 to S3-S4 (p<0.05), but not miR-16. The multivariate logistic regression analysis identified a panel of three miRNAs and platelets that were associated with a high diagnostic accuracy in discriminating S0-S2 from S3-S4, with an area under the curve of 0.936. Conclusions: The levels of the studied miRNAs, with the exception of miR-16, varied with fibrosis progression. A panel was identified that was capable of discriminating S0-S2 from S3-S4, indicating that serum miRNA levels could serve as a potential noninvasive biomarker of fibrosis progression. (Gut Liver 2017;11:860-869)
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Transfer Model Based on State of Finite Semi-Markov Automata Intrusion Tolerance
Wang Guangze,Wang Peng,Luo Zhiyong,Zhu Suxia 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3
Existing network security technology may not against most of intrusion so that we need to study intrusion tolerance technology. On the basis of existing model of intrusion tolerance, we putted forward an optimization of finite automata state transition model in intrusion tolerance system by adding strategy and updating status. Since the conversion process between the states of the model meets Semi-Markov theory, therefore, the model can be used to quantify this theory; it gives calculation process of the steady probability by each state. By stabilizing the probabilistic analysis of each state, provide theoretical guidance and basis for network management personnel to better maintain network security .Proven, the Semi-Markov applied to finite automata intrusion tolerant system is feasible, effective, and has simple features.
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Multi-objective Remanufacturing Supply Chain Optimization Problem with Dual Stochastic Programming
Liang Yong,Qiao Peili,Luo Zhiyong,Zhu Suxia 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.9
The successful implementation of remanufacturing supply chain not only needs foundation engineering technology, but also needs the efficient supply chain model to support logistics network. But till now, the optimization problems of supply chain logistics network focus on the determination for the number and location of facilities and logistics distribution between the various facilities. Except for the decisive factors, the optimization problem of remanufacturing supply chain logistics network considers the environmental pollution factors the waste product returns and transportation. The market demand and waste product returns are actually uncertain in remanufacturing supply chain. There is few papers focus on dual uncertain factors although there are lots of studies on the problems. Therefore, based on dual stochastic programming, the optimization model of multi-phase multi-objective remanufacturing supply chain is established with maximum profit in the remanufacturing supply chain, maximum rapid response customer satisfaction and minimum environmental pollution. Dual-layer genetic algorithm mechanism was brought up. The first layer algorithm is responsible for supply chain logistics network structure. The second layer algorithm determines specific distributions for remanufacturing supply chain, based on optimized logistics network structure mechanism in the first layer algorithm. Finally, numerical examples demonstrate the validity of the model and algorithm for the optimization problem.
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Research of Automatic Recognition Double Layers Intrusion Intention Algorithm Based on Attack Graph
Wang Guangze,Wang Peng,Luo Zhiyong,Zhu Suxia 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3
The determination of network equipment weaknesses and the discovery of intrusion intention is one of the difficulties that troubled network security management personnel. Based on previous studies, further proposed a double attack graph based on domain-equipment. By the underlying network topology data collected and analyzed, using Bayesian theory to complete the quantify for the double attack graph and generation strategy in minimal power key set, with the cost of calculation of key equipment in the automatic recognition network topology, we provide an important basis for network maintenance. Experimental results show that the measure of using quantitative domain-equipment double attack graph to recognize the intrusion intention is not only effective and feasible, but also has the feature of easy promotion.
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