The analysis of changes in land cover and land use over time as sources of information and geographical diagnosis at a regional scale, is primary to improving knowledge of land cover and land use modelling in Mediterranean environments. The study…

La encina carrasca (Quercus rotundifolia Lam.) es una especie de capacidad rebrotadora que tras los incendios cambia su estructura, dando lugar a bosquetes con una elevada cantidad de pies. El resalveo es una práctica silvícola que se aplica con el…

The purpose of this study is to assess the technical-tactical knowledge of high performance soccer players. The sport performance of sixteen 14-year-olds who play for the Spanish soccer club Albacete Balompie was analysed in a modified game as “seven-a-side match”…

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We develop a theory to explain the transition from stagnation to modern growth. We focus on the forces that shaped the evolution of total factor productivity in agriculture and manufacturing across history. More specifically, we build a multisector model of…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

Reverse engineering is the process of discovering the technological principles of a device, object or system through analysis of its structure, function, and operation. From a device used in clinical practice, as the corneal topographer, reverse engineering will be used…

The methodology “b-learning” is a new teaching scenario and it requires the creation, adaptation and application of new learning tools searching the assimilation of new collaborative competences. In this context, it is well known the knowledge spirals, the situational leadership…

Diagnosis is an important process in patient care. A suitable diagnosis helps a physician determine a precise treatment. Physicians also have a tendency to seek collaboration from other colleagues and expert systems for better confidence in their decision. The sources…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…