There is a particular lack of data for exploited squid on fundamental aspects of taxonomy, genetic population structure, locations and patterns of spawning and migrations, and factors affecting population dynamics. This review considers currently available information on species identity and stock structure in the genus Illex (order Teuthoidea), using predominantly ecological, parasitological, ...

The identification of catalytic residues is an essential step in functional characterization of enzymes. We present a purely structural approach to this problem, which is motivated by the difficulty of evolution-based methods to annotate structural genomics targets that have few or no homologs in the databases. Our approach combines a state-of-the-art support vector machine (SVM) classifier wit...

the geometry of a system of second order differential equations is the geometry of a semispray, which is a globally defined vector field on tm. the metrizability of a given semispray is of special importance. in this paper, the metric associated with the semispray s is applied in order to study some types of foliations on the tangent bundle which are compatible with sode structure. indeed, suff...

In fuzzy modelling, the identification method used is very important. Identification for fuzzy modelling has two aspects: structure identification and parameter identification. In general, structure identification is a difficult and extremely ill-defined process and not readily amenable to automated techniques. The problem of parameter identification is closely related to the estimation of the ...

Vector identification is significant to remove contamination in ESTs (Expressed Sequence Tags) and extract cDNA insert. This paper describes the vector structures of ESTs for the question of EST vector identification, and presents a new vector identification method combining vector structure and fast sequence alignment method based on suffix tree, which is characterized by building a suffix tre...

â  abstract: in this paper, artificial neural network (ann) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. the actual input-output data of the system were measured in order to be used for system identification based on root mean square error (rmse) minimization approach. it was shown that the designed recurrent neural network is able to pr...