The undergraduate law curriculum adopted at McGill University in 1998—the transsystemic programme—was born of the unique political, social, and intellectual histories of its Faculty of Law. This essay reviews these contexts and characterizes the programme as an ongoing conversation about…

This article presents a procedure for constructing a taxonomy of COTS products in the field of Requirements Engineering (RE). The taxonomy and the obtained information reach transcendental benefits to the selection of systems and tools that aid to RE-related actors…

O objetivo do estudo foi avaliar o nível de informação do paciente sobre a prescrição de medicamento antimicrobiano. O estudo foi realizado em um Centro de Saúde da cidade de Porto Alegre. Foram entrevistados pacientes que obtiveram medicamento antimicrobiano na…

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining controllers capable of solving this type of tasks. In…

This work is focussed on the development and analysis of a new class of algorithms, called cellular memetic algorithms (cMAs), which will be evaluated here on the satisfiability problem (SAT). For describing a cMA, we study the effects of adding…

In the design of activities for Web-Based Education Systems, the concept of Didactic Object or Learning Object, has appeared as the axis of a new paradigm concerned with the reusability of contents and activities, due to its organization from a…

Increasingly, knowledge-based tasks such as new product development and market research are being conducted by geographically dispersed teams. Early evidence from knowledge-based view of the firm and geographically dispersed work literatures suggests that at least four kinds of knowledge gaps---transactive…

Knowledge-based Cascade-correlation is a neural network algorithm that combines inductive learning and knowledge transfer (Shultz & Rivest, 2001). In the present thesis, this algorithm is tested on several real-world and artificial problems, and extended in several ways. The first extension…

In order to close the gap that exists between the research areas of mathematics anxiety and mathematics learning, this study examined cognitive, metacognitive, and affective aspects of mathematics anxiety as well as students' mathematics performance and competence. One hundred and…