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The large plasmid pXO1 encoding the anthrax toxin is important for the virulence of Bacillus anthracis. It is essential to cure pXO1 from B. anthracis to evaluate its role in the pathogenesis of anthrax infection. Because conventional methods for curing plasmids (e.g., curing agents or growth at elevated temperatures) can induce mutations in the host(More)
This paper proposes an architecture to extract fuzzy rules based on support vector machines (SVMs). Firstly, support vectors are obtained from the training data set to generate fuzzy IF-THEN rules with membership functions described in terms of kernel functions via support vector machine learning procedure. Then, a combined fuzzy rule base is created based(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Almost periodic dynamical behaviors for generalized Cohen–Grossberg neural networks(More)
In this paper, we investigate the periodic dynamical behaviors for a class of general Cohen-Grossberg neural networks with discontinuous right-hand sides, time-varying and distributed delays. By means of retarded differential inclusions theory and the fixed point theorem of multi-valued maps, the existence of periodic solutions for the neural networks is(More)
Immunoproteomics was used to screen the immunogenic spore and vegetative proteins of Bacillus anthracis vaccine strain A16R. The spore and vegetative proteins were separated by 2D gel electrophoresis and transferred to polyvinylidene difluoride membranes, and then western blotting was performed with rabbit immune serum against B.anthracis live spores.(More)
The selection of measurement configurations in robot calibration is investigated. The goal is to select a set of robot measurement configurations with modified simulated annealing algorithm so that the effect of measurement and modeling errors in parameter estimation can be minimized. To accelerate the convergence rate, a suitable cooling schedule is(More)