La influencia de la práctica deportiva en la educación en valores y comportamientos sociales

El objetivo central de la presente investigación es analizar cuáles son los efectos de la práctica deportiva sobre la educación en valores y comportamientos sociales. Para ello, en el siguiente epígrafe se describe la información de base sobre la que se aplicará el análisis empírico, esto es, la muestra de referencia y los tres bloques de variables empleadas, que han sido construidos a partir de la mencionada encuesta realizada. Específicamente, en el primer bloque se muestran las variables de resultado en educación lo cognitiva, en el segundo, las relacionadas con las características individuales y familiares del individuo y en el último las de entorno socioeconómico vinculadas a la práctica deportiva. En el tercer apartado se presentan los modelos estimados y los resultados obtenidos de los mismos. Finalmente, el habitual apartado de conclusiones cierra el documento

Live Demonstration: neuromorphic robotics, from audio to locomotion through spiking CPG on SpiNNaker.

This live demonstration presents an audio-guided neuromorphic robot: from a Neuromorphic Auditory Sensor (NAS) to locomotion using Spiking Central Pattern Generators (sCPGs). Several gaits are generated by sCPGs implemented on a SpiNNaker board. The output of these sCPGs is sent in a real-time manner to an Field Programmable Gate Array (FPGA) board using an AER-to-SpiNN interface. The control of the hexapod robot joints is performed by the FPGA board. The robot behavior can be changed in real-time by means of the NAS. The audio information is sent to the SpiNNaker board which classifies it using a Spiking Neural Network (SNN). Thus, the input sound will activate a specific gait pattern which will eventually modify the behavior of the robot.Ministerio de Economía y Competitividad TEC2016-77785-

Semi-wildlife gait patterns classification using Statistical Methods and Artificial Neural Networks

Several studies have focused on classifying behavioral patterns in wildlife and captive species to monitor their activities and so to understanding the interactions of animals and control their welfare, for biological research or commercial purposes. The use of pattern recognition techniques, statistical methods and Overall Dynamic Body Acceleration (ODBA) are well known for animal behavior recognition tasks. The reconfigurability and scalability of these methods are not trivial, since a new study has to be done when changing any of the configuration parameters. In recent years, the use of Artificial Neural Networks (ANN) has increased for this purpose due to the fact that they can be easily adapted when new animals or patterns are required. In this context, a comparative study between a theoretical research is presented, where statistical and spectral analyses were performed and an embedded implementation of an ANN on a smart collar device was placed on semi-wild animals. This system is part of a project whose main aim is to monitor wildlife in real time using a wireless sensor network infrastructure. Different classifiers were tested and compared for three different horse gaits. Experimental results in a real time scenario achieved an accuracy of up to 90.7%, proving the efficiency of the embedded ANN implementation.Junta de Andalucía P12-TIC-1300Ministerio de Economía y Competitividad TEC2016-77785-

Class mutation operators for C++ object-oriented systems

Mutation testing is a fault injection testing technique around which a great variety of studies and tools for different programming languages have been developed. Nevertheless, the mutation testing research with respect to C++ is pending. This paper proposes a set of class mutation operators related to this language and its particular object-oriented (OO) features. In addition, an implementation technique to apply mutation testing based on the traversal of the abstract syntax tree (AST) is presented. Finally, an experiment is conducted to study the operator behaviour with different C++ programs, suggesting their usefulness in the creation of complete test suites. The analysis includes a Web service (WS) library, one of the domains where this technique can prove useful, considering its challenging testing phase and that C++ is still a reference language for critical distributed systems WS

Valoración de los estilos de dirección de proyectos fin de carrera en ingeniería informática

Completamos aquí un estudio realizado sobre dirección de proyectos fin de carrera (PFC) en Ingeniería Informática. Entonces usamos una encuesta para determinar una tipología de estilos de dirección de PFC. Resumimos ahora los resultados de aquel estudio, ampliándolo con nuevos ratios para valorar los resultados de la aplicación de cada estilo en cuanto a calificación, duración del PFC y tiempo dedicado por el director, teniendo en cuenta el tipo de alumno. Estos resultados pueden ayudar a los tutores de PFC a encontrar distintas formas de dirección a utilizar.SUMMARY -- This paper complements a previous study we conducted on capstone projects in Computer Science Engineering. Then we used a survey to determine a typology of supervision styles for that projects. This article summarizes the results of that study, extending them with new ratios to assess the results of the application of each style in terms of grade obtained, duration and time spent by the director, considering the type of student. These results can help supervisors to find other ways of supervision

Tumores en ganado ovino sacrificado en matadero

Trabajo presentado al: XL Congreso Nacional y el XVI Congreso Internacional de la Sociedad Española de Ovinotecnia y Caprinotecnia. (Castellón de la Plana, España, 16-18 septiembre 2015).Peer Reviewe

Embedded neural network for real-time animal behavior classification

Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain animals’ behavior information, resources like wireless sensor networks are needed. More- over, large amounts of obtained data have to be processed off-line in order to classify different behaviors.There are recent research projects focused on designing monitoring systems capable of measuring someanimals’ parameters in order to recognize and monitor their gaits or behaviors. However, network unre- liability and high power consumption have limited their applicability.In this work, we present an animal behavior recognition, classification and monitoring system based ona wireless sensor network and a smart collar device, provided with inertial sensors and an embeddedmulti-layer perceptron-based feed-forward neural network, to classify the different gaits or behaviorsbased on the collected information. In similar works, classification mechanisms are implemented in aserver (or base station). The main novelty of this work is the full implementation of a reconfigurableneural network embedded into the animal’s collar, which allows a real-time behavior classification andenables its local storage in SD memory. Moreover, this approach reduces the amount of data transmittedto the base station (and its periodicity), achieving a significantly improving battery life. The system hasbeen simulated and tested in a real scenario for three different horse gaits, using different heuristics andsensors to improve the accuracy of behavior recognition, achieving a maximum of 81%.Junta de Andalucía P12-TIC-130

Nuevo registro de Aphaenogaster punctaticeps Mackay, 1989 para México y primer registro de Aphaenogaster mexicana (Pergande, 1896) para Jalisco (Hymenoptera: Formicidae: Myrmicinae)

We present a new record of Aphaenogaster punctaticeps Mackay, 1989 from Mexico and the first record of Aphaenogaster mexicana (Pergande, 1896) from Jalisco State. The specimens were collected in Sierra de Quila, Jalisco, Mexico. With the new records now, there are 13 species of the genus Aphaenogaster from Mexico and three from Jalisco: Aphaenogaster ensifera Forel, 1899, A. mexicana (Pergande, 1896) and A. punctaticeps (Mackay, 1989)

Steroidal Saponins from Furcraea hexapetala Leaves and Their Phytotoxic Activity

Four new steroidal saponins (1−4) along with 13 known saponins were isolated from the leaves of Furcraea hexapetala. The new compounds were identified as (20R,22R,25R)-3β-hydroxy-5α-spirostan-12-one 3-O-{α-Lrhamnopyranosyl-(1→4)-O-β-D-glucopyranosyl-(1→3)-O-[β-D-glucopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)]-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (1), (25R)-3β-hydroxy-5α-spirost-20(21)-en-12-one 3-O-{α-Lrhamnopyranosyl-(1→4)-O-β-D-glucopyranosyl-(1→3)-O-[β-D-glucopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)]-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (2), (25R)-5α-spirostan-3β-ol 3-O-{β-D-glucopyranosyl-(1→2)-O-β-D-glucopyranosyl-(1→2)-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (3), and (25R)-5β-spirostan-3β-ol 3-O-{β-D-glucopyranosyl-(1→6)-O-β-D-galactopyranoside} (4) by spectroscopic analysis, including one- and two-dimensional NMR techniques, mass spectrometry, and chemical methods. The phytotoxicity of the isolated compounds against the standard target species Lactuca sativa was evaluated. Structure−activity relationships for these compounds with respect to phytotoxic effects are discussed