This study was an attempt to investigate what metacognitive strategies are specifically employed by English learners when it comes to different speaking task types.60 students at advanced level (female) were randomly selected and given an OPT as a test of homogeneity. They were assigned to experimental and control groups. The MS questionnaire (Oxford, 1990) was also administered to see what MS ...

An experimental comparison among the main behavioral control techniques for autonomous mobile robots is presented in this paper. The behavioral algorithms tackle the problem in a similar way: they decompose the mission planning of the robot in simple tasks; each task is then approached independently from the others and, at the end, the behavioral algorithms arrange the tasks’ output to give an ...

In the current paper the decoding algorithms for motor-related BCI systems for continuous upper limb trajectory prediction are considered. Two methods for the smooth prediction, namely Sobolev and Polynomial Penalized Multi-Way Partial Least Squares (PLS) regressions, are proposed. The methods are compared to the Multi-Way Partial Least Squares and Kalman Filter approaches. The comparison demon...

Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as: GA, PSO, ACO, SA and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR f...

the vast use of linear prediction coefficients (lpc) in speech processing systems has intensified the importance of their accurate computation. this paper is concerned with computing lpc coefficients using evolutionary algorithms: genetic algorithm (ga), particle swarm optimization (pso), dif-ferential evolution (de) and particle swarm optimization with differentially perturbed velocity (pso-dv...

Sorting data is one of the most important problems that play an important rule in many applications in operations research and computer science. Many sorting algorithms are well studied but the problem is not to find a way or algorithm to sort elements, but to find an efficiently way to sort elements. The output is a stream of data in time. We are interested in this flow of data. For the perfor...

Over the last decade, bicluster methods have become more and more popular in different fields of two way data analysis and a wide variety of algorithms and analysis methods have been published. In this paper we introduce the R package biclust, which contains a collection of bicluster algorithms, preprocessing methods for two way data, and validation and visualization techniques for bicluster re...

background: rna molecules play many important regulatory, catalytic and structuralroles in the cell, and rna secondary structure prediction with pseudoknots is one themost important problems in biology. an rna pseudoknot is an element of the rna secondary structure in which bases of a single-stranded loop pair with complementary basesoutside the loop. modeling these nested structures (pseudokno...