La découverte du système des peptides natriurétiques (NP), au début des années 80, fut une découverte majeure qui révéla le rôle endocrinien du cœur. Les connaissances sur la relaxation vasculaire, la diurèse et la natriurèse provoquées par ce système ont…

The reality of global climate changes creates the necessity of predicting how will be the climatic scenario in our planet and how it will affect the economic activities in the future. For some climatic variables the global climate models projections…

This is an electronic version of an article published in Mental Health and Substance Use, 1(2), pp.104-117. Mental Health and Substance Use is available online at: http://www.informaworld.com/smpp/title~db=all~content=t777186830., Background: Mutuality is a feature of many ‘self-help groups’ for people with mental…

Objetivo: Evaluar los efectos de un programa de intervención psicoeducativa dirigido a niños y adolescentes con diabetes para promover el cuidado autónomo de la enfermedad y la mejora de su estado de salud. Métodos: Se utilizó un diseño cuasi experimental,…

Our research project intends to build knowledge about HPC problems to be able to help local researchers. In order to advise users in choosing parallel machines to run their applications, we want to establish a general methodology, requiring as shallow…

Over the last several years, multidimensional data modeling has had several proposals for its formalisation; on the other hand, the incorporation of fuzzy logic in databases has increased the need to represent uncertainty.
However, to our knowledge, so far projects…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…

El presente artículo ofrece los resultados de una investigación con una metodología
de carácter cuantitativo llevada a cabo en grandes empresas españolas, que abarcó un
conjunto de variables de diseño organizativo. En este caso, se corresponde al estudio de
la…