Semi-automatic generation of learning domain modules for technology supported learning systems

In a time when Technology Supported Learning Systems are being widely used, there is a lack of tools that allows their development in an automatic or semi-automatic way. Technology Supported Learning Systems require an appropriate Domain Module, ie. the pedagogical representation of the domain to be mastered, in order to be effective. However, content authoring is a time and effort consuming task, therefore, efforts in automatising the Domain Module acquisition are necessary.Traditionally, textbooks have been used as the main mechanism to maintain and transmit the knowledge of a certain subject or domain. Textbooks have been authored by domain experts who have organised the contents in a means that facilitate understanding and learning, considering pedagogical issues.Given that textbooks are appropriate sources of information, they can be used to facilitate the development of the Domain Module allowing the identification of the topics to be mastered and the pedagogical relationships among them, as well as the extraction of Learning Objects, ie. meaningful fragments of the textbook with educational purpose.Consequently, in this work DOM-Sortze, a framework for the semi-automatic construction of Domain Modules from electronic textbooks, has been developed. DOM-Sortze uses NLP techniques, heuristic reasoning and ontologies to fulfill its work. DOM-Sortze has been designed and developed with the aim of automatising the development of the Domain Module, regardless of the subject, promoting the knowledge reuse and facilitating the collaboration of the users during the process.

Structural study of CUG-repeating small RNAs complexed with silencing suppressor P19

The study is focused on structural aspects of interaction between silencing suppressor p19 and CUG-repeating small RNAs. The work involves crystal structure determination of a protein-unbound RNA form and RNA fragments of various lengths (19, 20, 21 nucleotides) complexed with p19-suppressor. Results prove the ability of silencing suppressor p19 to bind CUG-repeating small RNAs, as well as reveal features of U•U mismatches flanked by Watson-Crick C•G base pairs in p19-bound and p19-unbound states. In addition, structural data reveal a p19 specific site for anchoring extra nucleotides in small RNAs. In general, the study extends our knowledge about the mechanism of small RNA recognition by silencing suppressor p19.

En torno al llamado «arte esquemático-abstracto»: a propósito de unas fechas de Covalanas (Ramales de la Victoria, Cantabria)

[ES] La introducción de técnicas físico-químicas al estudio del grafismo rupestre paleolítico está abriendo nuevos campos de conocimiento sobre los procedimientos técnicos, la cronología y la conservación de los motivos. La utilización de la técnica radiométrica de C14 A.M.S. ha sido aplicada en Covalanas. Las dataciones de época histórica de dos pequeños fragmentos de carbón procedentes de marcas negras sirven para reflexionar en torno al llamado «arte esquemático-abstracto».

Fragmento de placa con letras [---]VIR[---], procedente de Termes (Montejo de Tiermes, Soria). ¿Antropónimo, magistratura o indicación de tribu?

Homenaje a Ignacio Barandiarán Maestu / coord. por Javier Fernández Eraso, Juan Santos Yanguas.

El sacrificio de Alcestis

[ES] La tragedia griega exige, para su comprensión, remitirse al contexto social y cultural en que fue compuesta. Tomar como referente el conocimiento que nosotros tenemos del modo de vida y pensamiento de entonces es algo fundamental, si se quiere entender la forma de actuar de las mujeres y de los hombres trágicos, como Alcestis y Admeto. Vistos bajo esta perspectiva, dejan de ser la heroína romántica y el pérfido esposo, para convertirse ella en el paradigma del ideal femenino en una sociedad donde el padre es el miembro más preciado de la familia, y él en el varón irreprochable. Todo esto bajo un discurso, el trágico, que se complace en difuminar la frontera mediadora entre lo masculino y lo femenino.