Oxynitride glasses

The present work is a review of the numerous nitridation experiments which have been carried out in different glass forming Systems. After a brief introduction to the topic of the solubility of nitrogen in glass melts, the nitridation procedures and the different ways of incorporating nitrogen into the glass network are described. Also considered is the increasing cross-linking structure due to the incoφOΓation of nitrogen. This involves a rise of the transition temperature, a decrease of the thermal expansion coefficient, and an improvement of the mechanical properties as well as of the chemical durability of the oxynitride glasses, depending closely on the nitrogen content. Some experiments on preparation of oxynitride glasses via the sol-gel procedure are also described. Due to their properdes the oxynitride glasses have been employed in several specific technical fields

Estudio y caracterización de algunas tierras para la fabricación de azulejos

Con fines de aplicación en la industria azulejera se estudian cinco arcillas procedentes de la región de Castellón de la Plana. Los métodos experimentales que se han utilizado para su identificación y estudio térmico han sido los siguientes: análisis Químico, análisis térmico diferencial, rayos X, microscopio electrónico, microscopio de calefacción y dilatación térmica.Peer reviewe

A machine learning approach to pedestrian detection for autonomous vehicles using High-Definition 3D Range Data

This article describes an automated sensor-based system to detect pedestrians in an autonomous vehicle application. Although the vehicle is equipped with a broad set of sensors, the article focuses on the processing of the information generated by a Velodyne HDL-64E LIDAR sensor. The cloud of points generated by the sensor (more than 1 million points per revolution) is processed to detect pedestrians, by selecting cubic shapes and applying machine vision and machine learning algorithms to the XY, XZ, and YZ projections of the points contained in the cube. The work relates an exhaustive analysis of the performance of three different machine learning algorithms: k-Nearest Neighbours (kNN), Naïve Bayes classifier (NBC), and Support Vector Machine (SVM). These algorithms have been trained with 1931 samples. The final performance of the method, measured a real traffic scenery, which contained 16 pedestrians and 469 samples of non-pedestrians, shows sensitivity (81.2%), accuracy (96.2%) and specificity (96.8%).This work was partially supported by ViSelTR (ref. TIN2012-39279) and cDrone (ref. TIN2013-45920-R) projects of the Spanish Government, and the “Research Programme for Groups of Scientific Excellence at Region of Murcia” of the Seneca Foundation (Agency for Science and Technology of the Region of Murcia—19895/GERM/15). 3D LIDAR has been funded by UPCA13-3E-1929 infrastructure projects of the Spanish Government. Diego Alonso wishes to thank the Spanish Ministerio de Educación, Cultura y Deporte, Subprograma Estatal de Movilidad, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013–2016 for grant CAS14/00238

Trabajo Social en la calle con personas sin hogar con enfermedad mental

El artículo muestra cómo se lleva a cabo el trabajo social de calle dentro del Programa de Atención Psiquiátrica a Personas sin Hogar con Enfermedad Mental. La base de su recuperación está, en primer lugar, en potenciar la participación del usuario en la toma de decisiones; en segundo lugar, en asegurarse que asume la responsabilidad de su propio proceso, y, finalmente en potenciar sus capacidades. A su vez es crucial facilitarles las condiciones óptimas de trabajo en red, coordinación y otras estrategias.This article shows how social work on the street is carried out as part of the Psychiatric Attention Program for Homeless People with Mental Illness. The client’s recovery is based, firstly, on encouraging their participation in the decision-making process, secondly, on ensuring that they take responsibility for their own recovery process, and finally, on fostering their capacities

Beyond the Boundaries of Definitions: Building an Effective, New and Multicriteria Impact Investing Assessment Tool

Impact investing was established with the objective of facing social problems through investments with a dual return: a financial plus social and/or environmental return. However, academics have not reached a consensus on the definition of impact investing, and there is a gap in the literature regarding the fundamental criteria of impact investing. This lack of consensus has produced serious problems for impact investors, one of which is that investors cannot clearly define their impact expectations at the time of investment, which makes their decision-making processes groundless. For this reason, this study reviews the concept of impact investing and proposes an investment selection model based on several criteria. Through the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), i.e., a method for multicriteria analysis, we propose an investment selection model as a new, more effective impact investing assessment tool. This model is based on a series of aspects, which cover the three main categories that after having carried out an in-depth revision of the relevant literature. This study contributes to filling the gap in the literature about the definition of and criteria for impact investing. In addition, it presents a practical contribution because the impact investing assessment tool will be able to help impact investors make more accurate investment decisions. By using the assessment approach presented in this paper, impact investors will be able to compare, in a systematic way, the different options for investment and to prioritize those that best align with the impact criteria

Simulación numérica tridimensional de ensayos de fractura dinámica en dispositivos de barra Hopkinson modificada

6 pages, 10 figures.-- Contributed to: "XXI Encuentro del Grupo Español de Fractura" (Punta Umbría, Huelva, Spain, Mar 24-26, 2004).[EN] This work presents a three-dimensional Finite Element analysis of Dynamic three point bending fracture tests performed in a modified Split Hopkinson Pressure Bar, including the projectile, the incident bar, the specimen and the supporting device. The influence of different parameters, such as the specimen thickness, crack length and impact velocity of the projectile on the critical stress intensity factor is analyzed. To obtain the instant at which the crack starts to grow, a local fracture criteria is applied, considering that crack begins its propagation when a critical stress at a characteristic distance of the crack tip is reached. Numerical results show that critical stress intensity factor decreases with specimen thickness, projectile impact velocity and initial crack length.[ES] En este trabajo se presenta un análisis numérico tridimensional, por el método de los Elementos Finitos, de los ensayos de flexión dinámica que se pueden realizar en dispositivos experimentales basados en modificaciones de la barra Hopkinson, incluyendo la modelización del proyectil, la barra incidente, la probeta y su sistema de apoyo. Se analiza la influencia de diferentes parámetros como son el espesor de la probeta, la longitud de la fisura con relación al canto de la probeta y la velocidad de impacto en el valor crítico del factor de intensidad de tensiones. Para obtener dicho valor crítico, se ha utilizado un criterio local de fractura que considera que la fisura progresa de manera inestable cuando se alcanza una tensión crítica a una distancia característica del extremo de la fisura. Los resultados numéricos ponen de manifiesto que el citado valor crítico disminuye a medida que aumenta el espesor de la probeta, la velocidad de impacto del proyectil, y el tamaño de la fisura inicial.Publicad