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Search Results: 1 - 10 of 26721 matches for " LiZi Jin "
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Association of β-fibrinogen gene 148C/T and 455G/A polymorphisms and coronary artery disease in Chinese population: A Meta analysis
XiaoChao Chen,MingTong Xu,LiZi Jin,Jian Chen,WeiQing Chen
Science China Life Sciences , 2008, DOI: 10.1007/s11427-008-0102-0
Abstract: The purpose of our study was to evaluate the correlation between the β-fibrinogen gene 148C/T and 455G/A polymorphisms and susceptibility to coronary artery disease in the Chinese population using a meta-analytic approach. Eligible studies about this correlation were identified by searching the PubMed, EMBASE, and CNKI databases. Of the 13 identified, 7 (with 1488 cases and 1234 controls) involved the 148C/T polymorphism and 9 (with 1023 cases and 1081 controls) involved the 455G/A polymorphism. No publication bias was detectable and heterogeneity testing found significant differences between the ORs for both groups of studies. The combined OR for the 7 studies on susceptibility to coronary artery disease in 148T allele carriers compared to the 148C/C wild-type homozygotes was 1.31 (95%CI: 0.94–1.84, P=0.11). The combined OR for the 9 studies on susceptibility to coronary artery disease in 455A allele carriers compared to the 455G/G wild-type homozygotes was 1.75 (95%CI: 1.24–2.46, P=0.001). Our results suggest the absence of an association between the β-fibrinogen gene 148C/T polymorphism and susceptibility to coronary artery disease and the possibility that 455G/A polymorphism (in particular, allele A) increases susceptibility to this disease in the Chinese population.
Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
Lizi Yin
Journal of Applied Mathematics , 2014, DOI: 10.1155/2014/730292
Abstract: This paper investigates the finite-time stability problem of switching genetic regulatory networks (GRNs) with interval time-varying delays and unbounded continuous distributed delays. Based on the piecewise Lyapunov-Krasovskii functional and the average dwell time method, some new finite-time stability criteria are obtained in the form of linear matrix inequalities (LMIs), which are easy to be confirmed by the Matlab toolbox. The finite-time stability is taken into account in switching genetic regulatory networks for the first time and the average dwell time of the switching signal is obtained. Two numerical examples are presented to illustrate the effectiveness of our results. 1. Introduction In the last decade or so, the genetic regulatory networks (GRNs) have become an important research area in molecular Biology. On the one hand, how to construct GRNs from gene expression data; on the other hand, what is the dynamic characteristics of gene regulatory networks. The stability is one of vital dynamic characteristics of GRNs and is researched in this paper. There are also many references on the stability of GRNs [1–6]. High throughput biological experiments have proved that time delays were ubiquitous in GRNs. The existence of time delays influences the stability of GRNs, which can give rise to oscillatory or unstable networks. Therefore, it is necessary to study the influences of time delays for the stability of GRNs. There are a few theoretical results on GRNs with time delays [7–15]. In [2], random time delays are taken into account, and some stability criteria for the uncertain delayed genetic networks with SUM regulatory logic where each transcription factor acts additively to regulate a gene were obtained. In [12], some stochastic asymptotic stability conditions were established for a class of uncertain stochastic genetic regulatory networks with mixed time-varying delays by constructing appropriate Lyapunov-Krasovskii functionals and employing stochastic analysis method. In [13, 14], authors studied GRNs with constant delay, and asymptotical stability criteria were proposed for GRNs with interval time-varying delays and nonlinear disturbance in [10]. Cell-cycle regulatory processes can be viewed as finite-state processes. So some complex GRNs were described by continuous time switched system. Usually, a finite state Markov chain was used to simulate this switch process [16–19]. In [17], authors investigate the global robust stability of uncertain stochastic GRNs with Markovian switching process. In [19], control theory and mathematical tools
Safeguarding E-Commerce against Advisor Cheating Behaviors: Towards More Robust Trust Models for Handling Unfair Ratings
Lizi Zhang
Computer Science , 2013,
Abstract: In electronic marketplaces, after each transaction buyers will rate the products provided by the sellers. To decide the most trustworthy sellers to transact with, buyers rely on trust models to leverage these ratings to evaluate the reputation of sellers. Although the high effectiveness of different trust models for handling unfair ratings have been claimed by their designers, recently it is argued that these models are vulnerable to more intelligent attacks, and there is an urgent demand that the robustness of the existing trust models has to be evaluated in a more comprehensive way. In this work, we classify the existing trust models into two broad categories and propose an extendable e-marketplace testbed to evaluate their robustness against different unfair rating attacks comprehensively. On top of highlighting the robustness of the existing trust models for handling unfair ratings is far from what they were claimed to be, we further propose and validate a novel combination mechanism for the existing trust models, Discount-then-Filter, to notably enhance their robustness against the investigated attacks.
Association of β-fibrinogen gene -148C/T and -455G/A polymorphisms and coronary artery disease in Chinese population: A Meta analysis

CHEN XiaoChao,XU MingTong,JIN LiZi,CHEN Jian &,CHEN WeiQing,

中国科学C辑(英文版) , 2008,
Abstract: The purpose of our study was to evaluate the correlation between the beta-fibrinogen gene -148C/T and -455G/A polymorphisms and susceptibility to coronary artery disease in the Chinese population using a meta-analytic approach. Eligible studies about this correlation were identified by searching the PubMed, EMBASE, and CNKI databases. Of the 13 identified, 7 (with 1488 cases and 1234 controls) involved the -148C/T polymorphism and 9 (with 1023 cases and 1081 controls) involved the -455G/A polymorphism. No publication bias was detectable and heterogeneity testing found significant differences between the ORs for both groups of studies. The combined OR for the 7 studies on susceptibility to coronary artery disease in -148T allele carriers compared to the -148C/C wild-type homozygotes was 1.31 (95%CI: 0.94-1.84, P=0.11). The combined OR for the 9 studies on susceptibility to coronary artery disease in -455A allele carriers compared to the -455G/G wild-type homozygotes was 1.75 (95%CI: 1.24-2.46, P=0.001). Our results suggest the absence of an association between the beta-fibrinogen gene -148C/T polymorphism and susceptibility to coronary artery disease and the possibility that -455G/A polymorphism (in particular, allele A) increases susceptibility to this disease in the Chinese population.
Global -Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays
Lizi Yin,Xinchun Wang
Abstract and Applied Analysis , 2013, DOI: 10.1155/2013/746241
Abstract:
μ-Stability of Impulsive Neural Networks with Unbounded Time-Varying Delays and Continuously Distributed Delays
Lizi Yin,Xilin Fu
Advances in Difference Equations , 2011, DOI: 10.1155/2011/437842
Abstract:
Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays
Lizi Yin,Xiaodi Li
Advances in Difference Equations , 2009, DOI: 10.1155/2009/859832
Abstract: The impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays. Some exponential stability criteria are obtained by using Lyapunov functionals, stability theory, and control by impulses. A numerical example is also provided to show the effectiveness and feasibility of the impulsive control method.
Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays
Yin Lizi,Li Xiaodi
Advances in Difference Equations , 2009,
Abstract: The impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays. Some exponential stability criteria are obtained by using Lyapunov functionals, stability theory, and control by impulses. A numerical example is also provided to show the effectiveness and feasibility of the impulsive control method.
-Stability of Impulsive Neural Networks with Unbounded Time-Varying Delays and Continuously Distributed Delays
Yin Lizi,Fu Xilin
Advances in Difference Equations , 2011,
Abstract: This paper is concerned with the problem of -stability of impulsive neural systems with unbounded time-varying delays and continuously distributed delays. Some -stability criteria are derived by using the Lyapunov-Krasovskii functional method. Those criteria are expressed in the form of linear matrix inequalities (LMIs), and they can easily be checked. A numerical example is provided to demonstrate the effectiveness of the obtained results.
Approximate Similarity Reduction for the Nonlinear K(n, 1) Equation with Weak Damping via Symmetry Perturbation and Direct Method
Rui Zhang,Lizi Lin
Journal of Mathematics Research , 2010, DOI: 10.5539/jmr.v2n3p36
Abstract: The nonlinear K(n, 1) equation with weak damping is investigated via the approximate symmetry perturbation method and approximate direct method. The approximate symmetry and similarity reduction equations of different orders are derived and the corresponding series reduction solutions are obtained. As a result, the formal coincidence for both methods is displayed.
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