Identificación de SNPs de la región 17q21.31 en poblaciones humanas

En este estudio se han optimizado para su análisis mediante la técnica HRM los cebadores responsables de la amplificación de dos SNPs (rs199456 y rs199457), con los cuales es posible identificar los haplotipos H1 y H2 y los subhaplotipos H2' y H2D de la región 17q21.31 del cromosoma 17. Los genes que se encuentran en esta región, especialmente MAPT, están implicados en enfermedades neurodegenerativas como el Alzehimer, ciertas variantes de retraso mental y dificultades para el aprendizaje. El haplotipo H2 muestra una distribución muy característica, puesto que sólo aparece en poblaciones del continente europeo, especialmente en el sudoeste. Una vez optimizados los cebadores, se han utilizado para identificar los haplotipos de una serie de muestras de ADN de población del norte de Navarra. Con los datos disponibles en la bibliografía, se ha analizado la distribución en Europa de los diferentes haplotipos, encontrándose para H2 una clina latitudinal.

Visual SLAM using straight lines

The present thesis is focuses on the problem of Simultaneous Localisation and Mapping (SLAM) using only visual data (VSLAM). This means to concurrently estimate the position of a moving camera and to create a consistent map of the environment. Since implementing a whole VSLAM system is out of the scope of a degree thesis, the main aim is to improve an existing visual SLAM system by complementing the commonly used point features with straight line primitives. This enables more accurate localization in environments with few feature points, like corridors. As a foundation for the project, ScaViSLAM by Strasdat et al. is used, which is a state-of-the-art real-time visual SLAM framework. Since it currently only supports Stereo and RGB-D systems, implementing a Monocular approach will be researched as well as an integration of it as a ROS package in order to deploy it on a mobile robot. For the experimental results, the Care-O-bot service robot developed by Fraunhofer IPA will be used.

A stationary visual census technique for quantitatively assessing community structure of coral reef fishes

A new method is described and evaluated for visually sampling reef fish community structure in environments with highly diverse and abundant reef fish populations. The method is based on censuses of reef fishes taken within a cylinder of 7.5 m radius by a diver at randomly selected, stationary points. The method provides quantitative data on frequency of occnrrence, fish length, abundance, and community composition, and is simple, fast, objective, and repeatable. Species are accumulated rapidly for listing purposes, and large numbers of samples are easily obtained for statistical treatment. The method provides an alternative to traditional visual sampling methods. Observations showed that there were no significant differences in total numbers of species or individuals censused when visibility ranged between 8 and 30 m. The reefs and habitats sampled were significant sources of variation in number of species and individuals censused, but the diver was not a significant influence. Community similarity indices were influenced significantly by the specific sampling site and the reef sampled, but were not significantly affected by the habitat or diver (PDF file contains 21 pages.)

Plasticidad postlesional en el sistema visual : estrategias experimentales para su incremento en el adulto

196 p. :il.

Skeleton based visual pattern recognition. Applications to tabletop interaction

211 p. :il.

Identificación y caracterización de centros de unión para purinas de membrana plasmática de células aisladas de glándulas gástricas

149 p. : il.

El árbol del arte. Matriz trans-sensorial e intersubjetiva para el arte no visual y el silencio del yo artístico

461 p. : il., col.

Identificación y clasificación de perfiles en un entorno controlado

Utilización de técnicas de visión artificial para extraer la firma del contorno de perfiles de caucho y proceder a su clasificación y comparación con su correspondiente plano.