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We have developed a high-resolution "genome array" for the study of gene expression and regulation in Escherichia coli. This array contains on average one 25-mer oligonucleotide probe per 30 base pairs over the entire genome, with one every 6 bases for the intergenic regions and every 60 bases for the 4,290 open reading frames (ORFs). Twofold concentration(More)
In this paper, a robust adaptive control scheme based on neural network is proposed for a class of time delay uncertain nonlinear systems. The system under study possesses a wide class of nonlinear time-delayed input uncertainties and function uncertainties. The radial basis function (RBF) neural networks are introduced to approximate the unknown bounded(More)
In order to increase the reliability of Web services business process, a BPEL modeling and testing approach based on UML2.0 activity diagram is presented. The key idea of the approach is to transform the business process interaction via BPEL code to visual and dynamic testing model. The approach extends UML2.0 activity diagram to describe the syntax and(More)
In this paper, a novel robust adaptive control scheme for a class of uncertain nonlinear systems is proposed using disturbance observer and backstepping method. Firstly, a disturbance observer is developed using radial basis function (RBF) neural network. The parameter updated law of the RBF neural network is given for monitoring subsystem disturbance well.(More)
In this work, an actuator fault tolerant control scheme is developed for a class of uncertain single-input and single-output (SISO) nonlinear systems with the actuator fault. To develop the actuator fault tolerant control scheme, the radial basis function neural network (RBFNN) is employed to approximate the unknown system uncertainties as an universal(More)
The PP2C family member Wild-type p53-induced phosphatase 1 (Wip1) critically regulates DNA damage response (DDR) under stressful situations. In the present study, we investigated whether Wip1 expression was involved in the regulation of DDR-induced and depression-related cellular senescence in mouse hippocampus. We found that Wip1 gene knockout (KO) mice(More)
In this paper, the sliding-mode lag synchronization control scheme is proposed based on the neural network to synchronize two different delayed chaotic systems. An integral delayed sliding surface is presented to design the sliding mode control. The lag synchronization controller is achieved by combining the RBF (radial basis function) neural network with(More)
In this work, the robust position control scheme is proposed for the electro-mechanical system using the disturbance observer and backstepping control method. To the external unknown load of the electro-mechanical system, the nonlinear disturbance observer is given to estimate the external unknown load. Combining the output of the developed nonlinear(More)
Program slicing is a technique for analyzing program by focusing on the statements which have dependence relations with slicing criterion. Slicing has applications in testing and debugging, re-engineering, program comprehension and software maintenance. Program verification is an important method in assuring the correctness and reliability of computer(More)
In this paper, a new robust adaptive synchronization control scheme is proposed using a backstepping technique to synchronize two delayed uncertain triangle chaotic systems. A nonlinear disturbance observer is developed using radical basis function (RBF) neural network. The robust adaptive synchronization control scheme is developed with a backstepping(More)