Chunli Xie

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Recent studies suggest that endoplasmic reticulum stress (ERS) is the key process in ischemic brain injury. The JNK pathway is also involved in the process of ischemic brain injury. We established a middle cerebral artery occlusion/reperfusion (MCAO/R) model in rats; detected the changes in c-Jun N-terminal kinase (JNK), GADD153 and caspase-12 at different(More)
—Parameters optimization plays an important role for the performance of least squares support vector machines (LS-SVM). In this paper, a novel parameters optimization method for LS-SVM is presented based on chaotic ant swarm (CAS) algorithm. Using this method, the optimization model is established, within which the fitness function is the mean square error(More)
In the present study, we used chronic gavage administration of alcohol with gradual increases in alcohol concentration and volume to generate a rat model of chronic alcohol intoxication. We measured the changes in biological, behavioral, pathological and vascular injury-related molecular biological markers, and explored the effects of nimodipine(More)
SOA (Service-oriented Architecture) is becoming the major architecture for building complex Web service systems. In SOA, the lifecycle of Web services consists of four stages: service publication, service discovery, service binding and service execution. Faults may occur in any stage and cause a failure of service. The reliability of services depends on not(More)
Reliability has become a major quality metric for Web service. However, current reliability evaluation approaches lack a formal semantic representation and the support of incomplete or uncertain information. We propose a Web service reliability ontology (WSRO) serving as a basis to characterize the knowledge of Web service. And based on WSRO, a mapping to(More)
An indirect adaptive control approach based on LS-SVM is proposed for a class of nonlinear dynamic systems with unknown nonlinearities in this paper. The LS-SVM technique is employed to perform approximating unknown nonlinear functions. The updating rule of LS-SVM parameters is derived from Lyapunov stability theory. The proposed control law can guarantee(More)
Appropriate parameters are very crucial to the learning performance and generalization ability of least-squares support vector machines (LS-SVM). In this paper, a novel parameter selection method for LS-SVM is presented based on chaotic ant swarm (CAS) algorithm. The selection problem of LS-SVM parameters is considered as a compound optimization problem.(More)
With the advent of big data, data is being generated, collected, transformed, processed and analyzed at an unprecedented scale. Since data is created at a fast velocity and with a large variety, the quality of big data is far from perfect. Recent studies have shown that poor quality can bring serious erroneous data costs on the result of big data analysis.(More)