Analysis of the footprint in school age of 8-10 years old

Biomechanical problems in children, is an important subject currently, existing controversy in different areas, for example, the majority of children have a flattened footprint, or the hypermobility joint is linked to a musculoskeletal pain. The objective of the study was to determine what kind of footprint is most frequent in school-age children (8-10 years) in the area of Plasencia. This was taken as a sign 50 children, of whom 28 were males and 22 females. All the subjects in the study underwent an assessment of footprint planted in static as well as an exploration of different parameters through inspection in a standing position (formula digital, rearfoot). The results show that excavated footprint is present in a 72% cases of the population, 16% was belonging to an excavated footprint in which we find a higher percentage of weight related.For the digital formula we find that the most common is the Egyptian foot by 40% of the cases and that the prevalence in the rearfoot, is a normal hindfoot. In relation with the hypermobility joint, we check that it is more common in girls and that none of them presents an association to musculoskeletal pain. As a future line we could establish a more comprehensive study with new techniques and valuingchild’s statics and dynamics, to have a more accurate study of the different variables in the sample population studied.

The visual representation of the “indignados”. A visual analysis about the characterization of the participants of the 15-M movement.

The aim of this work is to show the type of media coverage done by the newspapers La Razón, El País and Público about the 15-M social movement during the time that the camping at Sol took place. Specifically, in terms of how the characterization of the “indignados” (outraged) got made. Based on our previous descriptive observations, we approached a visual analysis of the photographs published on the paper editions of those mainstream media from May 15-June 12 of the 2011. we started from a total sample of 379 items, developing:1) A content analysis of La Razón, El País, and Público; the most frequents words of each media, articles classifications from the reviews found on them (expositive, positive-evaluation, negative-evaluation).2) An analysis of the 408 images obtained from the total sample, which establishes a clear evolution of the “indignados” profile and how differently each media took the movement as such. That’s, when they stop naming them “indignados”, and recognize its nature as social movement by calling it: “Movimiento 15-M"...

La visión artificial, un nuevo aliado para el análisis de imágenes artísticas

En este estudio se evalúa el rendimiento de los métodos de Bag-of-Visualterms (BOV) para la clasificación automática de imágenes digitales de la base de datos del artista Miquel Planas. Estas imágenes intervienen en la ideación y diseño de su producción escultórica. Constituye un interesante desafío dada la dificultad de la categorización de escenas cuando éstas difieren más por los contenidos semánticos que por los objetos que contienen. Hemos empleado un método de reconocimiento basado en Kernels introducido por Lazebnik, Schmid y Ponce en 2006. Los resultados son prometedores, en promedio, la puntuación del rendimiento es aproximadamente del 70%. Los experimentos sugieren que la categorización automática de imágenes basada en métodos de visión artificial puede proporcionar principios objetivos en la catalogación de imágenes y que los resultados obtenidos pueden ser aplicados en diferentes campos de la creación artística.