results the results showed that nl1-gc/ls2 primer set could yield species-specific amplicons, which were well distinguished and allowed better species discrimination than that generated by the its3-gc/its4 primer set, in both dgge and ttge profiles. all five candida species were discriminated by dgge and ttge using the nl1-gc/ls2 primer set. conclusions comparison of dgge and ttge profiles obta...

Abstract. In the paper of Uwano [Czech. J. of Phys., vol.56, pp.1311-1316 (2006)], a gradient system is found on the space of density matrices endowed with the quantum SLD Fisher metric (to be referred to as the quantum information space) that realizes a generalization of a gradient system on the space of multinomial distributions studied by Nakamura [Japan J. Indust. Appl. Math., vol.10, pp.17...

This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechanisms. A strong relation of XCS to tabular reinforcement learning and more importantly to neural-based reinforcement learning techniques is drawn. The resulting gradient-based XCS system learns more stable and reliable i...

We have constructed a small-bore insertable gradient coil with two linear gradient imaging regions and interfaced it with an MRI scanner. We have also constructed an RF system capable of transmitting or receiving in both regions simultaneously.Designs for conductor placement for two-region X-, Y- and Z-gradient coils were optimized by simulated annealing. Wire patterns for each axis were chosen...

Policy gradient methods are reinforcement learning algorithms that adapt a parameterized policy by following a performance gradient estimate. Many conventional policy gradient methods use Monte-Carlo techniques to estimate this gradient. The policy is improved by adjusting the parameters in the direction of the gradient estimate. Since Monte-Carlo methods tend to have high variance, a large num...

Prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. Nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. In this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

Bordered almost block diagonal systems arise from discretizing a linearized rst-order system of n ordinary diierential equations in a two-point boundary value problem with non-separated boundary conditions. The discretization may use spline collocation, nite diierences, or multiple shooting. After internal condensation, if necessary, the bordered almost block diagonal system reduces to a standa...

Air-core coils are more practical than iron-core magnets for producing the required magnetic field distribution for electron paramagnetic resonance imaging at frequencies of a few hundred megahertz. An air-core, air-cooled magnet/gradient coil system is presented in this paper, which is optimum in the sense that mathematically it produces fields, which for the number of coils specified, are as ...

Face Recognition is to refine the notion of a biometric imposter, and show that the traditional measures of identification and verification performance. Recognition algorithm performs scores on disjoint populations to institute a means of computing and display distribution-free estimates of the dissimilarity in verification vs. false alarm performance. The proposed face recognition system consi...