La thérapie génique, qui consiste à modifier le génome d'un individu, est la progression logique de l'application de la recherche fondamentale à la médecine. Au moment où l'on célèbre le décryptage du génome humain, surgissent les premières guérisons par la…

El análisis actual sobre las profesiones se centra en su relación con la estructura
social, las organizaciones y la política, de tal manera que las tendencias más recientes
están configurando su estudio sobre la base del conocimiento abstracto y de…

The aim of this article is to investigate and bring
to light the constructive impact of Knowledge
Creation and Technology Education on the
process of New Product Development. This is
done under the competence-based perspective
of the organization, where knowledge…

In systems where agents are required to interact with a partially known and dynamic world, sensors can be used to obtain further knowledge about the environment. However, sensors may be unreliable, that is, they may deliver wrong information (due, e.g.,…

1. Introduction to academic networks 2. Conceptual framework of networking: internal and external connections that bring relevance 3. Making knowledge through academic networks supported in technologies 4. Meetings and disagreements in the contribution to academic networks for knowledge construction, References

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

Drawing on an empirical study on automakers? management of supplier
involvement in product development in Japan, this paper shows that when the design of
a component is outsourced to a supplier, how much and what automakers know about
the component…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

2007