Main technologies, recommendations and generated knowledge. Embrapa Soybean and the comunity. Employees: commitment and development of skills. Important challenges: vision on the future., 2005, 1 folder.

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…

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…

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…

Descripción completa.

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…

O conhecimento é um dos mais importantes recursos de uma organização, possibilitando ações inteligentes. O processo de gestão do conhecimento abrange toda a forma de gerar, armazenar, distribuir e utilizar o conhecimento, tornando necessária a utilização de tecnologias de informação…

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…

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…

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…