As stated at the start of this article, psychological and physical demand states can be understood as the effects and consequences caused by loads. To deduce the physiological characteristics of psychophysical demand, theoretical concepts like the load/demand concept are commonly…

The underlying assumption of this study is the understanding of a specialized term as a summary of disciplinary knowledge, formalized at a textual level in the contextual relations which structure disciplinary lexical knowledge and are therefore essential for the successful…

El presente artículo analiza el modo en el que cuidadores y personas dependientes pueden contribuir a la educación en trabajo social en una sociedad posconflicto. Un estudio realizado a pequeña escala en Irlanda del Norte se toma como estudio de…

The Millennium Development Goals (MDG) progress targets have not been met. Nevertheless, the United Nations (UN) has not yet undertaken in-depth review in order to discover the reasons behind this lack of progress in achieving the MDG. From a political…

Social knowledge is one of the key aspects of MAS in order to face complex problems in dynamical environments. However, it is usually incorporated without specific support on behalf of the platform and that does not let agents take all…

Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the…

The development of a data warehouse (DW) system is based on a conceptual multidimensional model, which provides a high level of abstraction in accurately and expressively describing real-world situations. Once this model is designed, the corresponding logical representation must be…

This tutorial is to help you to get a better knowledge about the digital archive of the newspaper La Vanguardia.

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…

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…