This article reviews existing knowledge concerning the epidemiology, instruments and regulatory criteria currently used to evaluate artificial turf soccer pitches. Recent years have seen tremendous growth in the use of artificial turf as a playing surface for sports (rugby, soccer,…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

In big companies, managerial activities and organizational boundaries will over time hide most unevenly developed skill and knowledge distribution patterns; studying the organizations with the means of modern applied physics is thus quite difficult. People are forced to communicate along…

Ensuring environmental sustainability is the aim of the seventh Millennium Development Goal (MDG7). United Nations data shows insufficient progress, especially in developing countries. In order to generate new information about this progress and the main barriers that hinder it, we…

When building Hypermedia/Web Applications, (different) designers are often faced with the same problems over and over again. Those recurring problems soon yield elegant solutions, which can be conveniently described as design patterns. In this paper we present two patterns for…

Durante las pasadas dos décadas,
las personas que han realizado estudios
sobre enfermería han contribuido
con grandes cantidades de conocimientos
que han ayudado a mejorar
inmensamente la práctica clínica y los
resultados de salud. Una manera de
actualizar estos estudios…

An audience driven philosophy for web site design takes the different target audiences as an explicit starting point, and organizes the basic navigation structure accordingly. However, for the designer it is not always easy, or sometimes even impossible, to assess…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

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…

Multi-agent systems (MAS) offer an approach to solve complex problems where data and control are inherently distributed among several agents. Normally, agents have to cope with conflicts based on inconsistent knowledge which arise when they exchange information. A relative common…