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…

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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…

Desafíos de la educación superior en México; Formación académica y profesional en contaduría; Knowledge Hub como medio para compartir y construir conocimiento; Iniciativa Knowledge Hub IES Contaduría

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 aims to clarify an economic mechanism behind the growing dichotomy between geo-economics and the borderless global knowledge economy. The proposed hypothesis is that geo-economic fault-lines, which are the product of the past prejudices of racial, linguistic, and cultural…

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…