El sector eléctrico español en el entorno europeo.

Sin resume

Discovery of conserved epitopes through sequence variability analyses

Depto. de Inmunología, Oftalmología y ORLFac. de MedicinaTRUEpu

Mejoramiento del plan de mercadeo en Point Diversión Digital S. A. S. (Point DD)

La dinámica global actual de los negocios hace propicia la creación de nuevas empresas, cuya necesidad principal es trascender en un mundo globalizado y fortalecerse para ser competitivas. En la actualidad la compañía Point Diversión Digital requiere ayuda para redefinir su estrategia de mercadeo y establecer un plan de activación de marca que le permita reactivar y acelerar sus ventas para poder ser rentable en el tiempo. Identificada la necesidad anterior, se desarrolló un plan para entender la situación actual de la compañía y su entorno, se desarrollo y ejecutó un completo proceso de investigación de mercados, con herramientas de investigación tanto cuantitativas como cualitativas, que permitieron tener una mayor conocimiento del mercado objetivo y sus necesidades, siendo estas el punto de partida para poder redefinir su el concepto de su marca, la mezcla de mercadeo y segmentación del mercado.122 p.The current global business dynamic supports the creation of new businesses, whose primary need is to transcend in a globalized world and strengthen to be competitive. Today the company Point Diversión Digital needs help to redefine its marketing strategy and establish a brand activation plan that allows it to reactivate and accelerate sales to be profitable over time.Contenido parcial: Objetivos de la investigación -- Preguntas de operacionalización -- Descripción de la empresa -- Nombre de la marca -- Ambiente de mercado -- Ventajas competitivas y comparativas -- Estrategias de comunicació

Edge detection based on Krawtchouk polynomials

Discrete orthogonal polynomials are useful tools in digital image processing to extract visual object contours in different application contexts. This paper proposes an alternative method that extends beyond classic first-order differential operators, by using the properties of Krawtchouk orthogonal polynomials to achieve a first order differential operator. Therefore, smoothing of the image with a 2-D Gaussian filter is not necessary to regularize the ill-posed nature of differentiation. Experimentally, we provide simulation results which show that the proposed method achieves good performance in comparison with commonly used algorithms.The authors dedicate this work to the memory of their friend Pablo González Vera. First and second authors work was partially supported by Ministerio de Economía y Competitividad of Spain, under grant MTM2012-36372-C03-01

Intragranular carbon nanotubes in alumina-based composites for reinforced ceramics

The traditional methods for the synthesis of reinforced alumina-based matrix composites with carbon nanotubes (CNTs) have presented serious difficulties for obtaining well-dispersed and homogeneously distributed CNTs within the matrix. Besides this, the CNTs are typically found in the grain boundaries of the matrix. These features involve a non-optimal reinforcement role of the CNTs. With the aim of maximizing the efficiency of the reinforcement of the CNT, this work reconsiders a sol-gel-based procedure for ceramic composite fabrication with a two fold objective: to achieve a good dispersion of the CNTs and to promote the intragranular location of the CNTs. The mixing of precursors and CNTs has been developed under the presence of high-power ultrasounds, followed by a rapid in-situ gelation that “froze” the nanotubes inside the gel. The chemical and physical relationships between the ceramic matrix and the embedded reinforcing phase have been researched. First results confirm the success of the synthesis procedure for the preparation of alumina-based composite powders starting from a commercial boehmite sol and multiwalled carbon nanotubes. X-ray diffraction and Raman analyses confirmed the formation of the α-Al 2 O 3 and the persistence of the non-damaged nanotube structure. N 2 physisorption and electron microscopy were used to check the evolution of the nanostructure and to confirm the presence of intragranular carbon nanotube within the polycrystalline powder. Therefore, the alumina-based composite powder prepared by this new procedure is a good candidate for the preparation of reinforced ceramic matrix composites.Junta de Andalucía P12-FQM-107

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals

Several European countries have established criteria for prioritising initiation of treatment in patients infected with the hepatitis C virus (HCV) by grouping patients according to clinical characteristics. Based on neural network techniques, our objective was to identify those factors for HIV/HCV co-infected patients (to which clinicians have given careful consideration before treatment uptake) that have not being included among the prioritisation criteria. This study was based on the Spanish HERACLES cohort (NCT02511496) (April-September 2015, 2940 patients) and involved application of different neural network models with different basis functions (product-unit, sigmoid unit and radial basis function neural networks) for automatic classification of patients for treatment. An evolutionary algorithm was used to determine the architecture and estimate the coefficients of the model. This machine learning methodology found that radial basis neural networks provided a very simple model in terms of the number of patient characteristics to be considered by the classifier (in this case, six), returning a good overall classification accuracy of 0.767 and a minimum sensitivity (for the classification of the minority class, untreated patients) of 0.550. Finally, the area under the ROC curve was 0.802, which proved to be exceptional. The parsimony of the model makes it especially attractive, using just eight connections. The independent variable "recent PWID" is compulsory due to its importance. The simplicity of the model means that it is possible to analyse the relationship between patient characteristics and the probability of belonging to the treated group

Localized Surface Plasmon Resonance for Optical Fiber-Sensing Applications

It is well known that optical fiber sensors have attracted the attention of scientific community due to its intrinsic advantages, such as lightweight, small size, portability, remote sensing, immunity to electromagnetic interferences and the possibility of multiplexing several signals. This field has shown a dramatic growth thanks to the creation of sensitive thin films onto diverse optical fiber configurations. In this sense, a wide range of optical fiber devices have been successfully fabricated for monitoring biological, chemical, medical or physical parameters. In addition, the use of nanoparticles into the sensitive thin films has resulted in an enhancement in the response time, robustness or sensitivity in the optical devices, which is associated to the inherent properties of nanoparticles (high surface area ratio or porosity). Among all of them, the metallic nanoparticles are of great interest for sensing applications due to the presence of strong absorption bands in the visible and near-infrared regions, due to their localized surface plasmon resonances (LSPR). These optical resonances are due to the coupling of certain modes of the incident light to the collective oscillation of the conduction electrons of the metallic nanoparticles. The LSPR extinction bands are very useful for sensing applications as far as they can be affected by refractive index variations of the surrounding medium of the nanoparticles, and therefore, it is possible to create optical sensors with outstanding properties such as high sensitivity and optical self-reference. In this chapter, the attractive optical properties of metal nanostructures and their implementation into different optical fiber configuration for sensing or biosensing applications will be studied

New records and distribution extensions of centrolenid frogs for Venezuela

We report the first record of Centrolene notostictum for Venezuela, the first records of Centrolene venezuelense and Hyalinobatrachium pallidum for Zulia state, and extend the distribution of Hyalinobatrachium tatayoi and Espadarana andina based on specimens coming from the eastern versant of the Sierra de Perijá in northwestern Venezuela. The altitudinal ranges of all species are extended, and comments and notes on natural history provided