The purpose of this study was to investigate the effect of using synchronous and asynchronous communication tools in online group activities to develop collaborative learning skills. An experimental study was implemented on a sample of faculty of education students in Mansoura University. The sample was divided into two groups, a group studied using synchronous communication tools, and the othe...

Aiming to offer a framework for blended learning to the teaching of proof theory, the present paper describes an interactive tutorial, called TryLogic, teaching how to solve logical conjectures either by proofs or refutations. The paper also describes the integration of our infrastructure with the Virtual Learning Environment Moodle through the IMS Learning Tools Interoperability specification,...

In this paper, we investigate the robust stability problem of a class of LTI discrete uncertain singularly perturbed time-delay systems. If the singular perturbation parameter of these systems is sufficiently small, they can be separated into two reduced-order subsystems, the slow subsystem and fast subsystem. Two stability criteria for the slow and fast subsystem of the uncertain system are th...

Advancements in optical nanosensor development have enabled the design of sensors using synthetic molecular recognition elements through a recently developed method called Corona Phase Molecular Recognition (CoPhMoRe). The synthetic sensors resulting from these design principles are highly selective for specific analytes, and demonstrate remarkable stability for use under a variety of condition...

The accurate identification of gene and protein names in patents is an essential step in many commercially highly relevant applications, such as patent retrieval, prior art search, or patent classification. Since patents exhibit a number of properties that make them quite different from scientific articles, it is questionable whether tools developed for the latter sort of texts will work equall...

Visual identification of complex images (e.g. images of food) remains a challenging problem. In particular, contentbased visual information retrieval (CBVIR) methods, which seem a natural choice for such tasks, are often constrained by specific characteristics of the images of interest and (possibly) other practical requirements. In this paper, a novel CBVIR approach to automatic food identific...

Protein fold recognition has been approached by threading an amino acid sequence onto a library of folds, calculating a sequence-structure compatibility score, and ranking these scores. Due to imperfections in the empirically derived pairwise potential functions and the necessarily heuristic approach to the sequence-structure alignment problem, the method benefits from the assessment of threade...

In order to improve Large Vocabulary Continuous Speech Recognition (LVCSR) systems, it is essential to discover exactly how our current systems are underperforming. The major intellectual tool for solving this problem is error analysis: careful investigation of just which factors are contributing to errors in the recognizers. This paper presents our observations of the effects that discourse (i...

The majority of Tifinagh OCR presented in the literature does not exceed the scope of simulation software such as Matlab. In this work, the objective is to compare the classification data mining tool for Tifinagh character recognition. This comparison is performed in a working environment using an Oracle database and Oracle Data Mining tools (ODM) to determine the algorithms that gives the best...