Reflexiones sobre los alcances de los modelos computacionales para la generación de narrativas

La generación automática de narrativas es un campo apasionante y complejo. Existen sistemas que desarrollan reportes sobre el clima, escriben cuentos y poseía, entre otras funciones. En este artículo analizo una de sus principales características, el uso de estructuras narrativas predefinidas, la cual empleo para clasificar los programas existentes en dos grandes grupos, compararlos, y discutir los alcances que cada uno de ellos tiene. Concluyo exponiendo las razones por las cuales los estudiosos de las humanidades digitales deben participar intensamente en este campo de estudio.The automatic generation of narratives is a fascinating and complex field. There are systems that give reports on climate, write short stories and poetry, among other functions. This article analyzes one of their principal features: the use of preset narrative structures, which I use to classify existing programs in two large groups in order to compare them and discuss their limits. By means of conclusion, I will discuss the reasons why scholars in the humanities should participate actively in this field of study

Lecciones de economía para no economistas

Publishe

Actualización de la valoración económica de la invasión del mejillón cebra en la cuenca del Ebro

Publishe

Asteroseismology of delta Scuti stars in open clusters: Praesepe

The present paper provides a general overview of the asteroseismic potential of delta Scuti stars in clusters, in particular focusing on convection diagnostics. We give a summarise of the last results obtained by the authors for the Praesepe cluster of which five delta Scuti stars are analysed. In that work, linear analysis is confronted with observations, using refined descriptions for the effects of rotation on the determination of the global stellar parameters and on the adiabatic oscillation frequency computations. A single, complete, and coherent solution for all the selected stars is found, which lead the authors to find important restrictions to the convection description for a certain range of effective temperatures. Furthermore, the method used allowed to give an estimate of the global parameters of the selected stars and constrain the cluster.Comment: 6 pages, 1 figure. Accepted for publication in Communications in Asteroseismolog

Adsorption of arsenate on Fe-(hydr)oxide

Adsorption using metal oxide materials has been demonstrated to be an effective technique to remove hazardous materials from water, due to its easy operation, low cost, and high efficiency. The high number of oxyanions in aquatic ecosystems causes serious pollution problems. Removal of arsenate (H2AsO4 -), is one of the major concerns, since it is a highly toxic anion for life. Within the metal oxides, the iron oxide is considered as a suitable material for the elimination of oxyanions. The adsorption of H2AsO4 - on Fe-(hydr)oxide is through the formation of inner or outer sphere complexes. In this work, through computational methods, a complete characterization of the adsorbed surface complexes was performed. Three different pH conditions were simulated (acidic, intermediate and basic), and it was found that, the thermodynamic favourability of the different adsorbed complexes was directly related to the pH. Monodentate complex (MM1) was the most thermodynamically favourable complex with an adsorption energy of -96.0kJ/mol under intermediate pH conditions. © Published under licence by IOP Publishing Ltd