Propuesta de intervención en iteligencia emocional mediante terapia asistida con perros (TAP) en niños de 7 y 8 años de edad

53 p.Gozar de una adecuada Inteligencia Emocional desde edades tempranas, es decir, poseer un conocimiento adecuado de las emociones, así como ser capaz de identificarlas, expresarlas y regularlas de un modo apropiado, resulta de gran relevancia en el ámbito personal, social y académico/laboral para el resto de la vida. El presente trabajo ofrece, a partir de una revisión bibliográfica y el análisis crítico de programas similares realizados previamente, una propuesta de intervención en Inteligencia Emocional en niños de 7 y 8 años de edad, en la cual se contará con la innovadora incorporación de un perro de terapia, basándonos en los múltiples beneficios que ello conlleva. Dicho programa está compuesto por 15 sesiones en las que de un modo lúdico, mediante diferentes dinámicas y actividades, se perseguirá fomentar la comprensión, expresión, regulación e identificación emocional, potenciando las habilidades sociales, y fortaleciendo el autoconcepto y la autoestima.To have an adequate Emotional Intelligence, is to say, to have a proper knowledge of emotions, as well as be able to identify, express and regulate them in an appropriate way, is highly relevant in the personal, social and academic/work area for the rest of life This paper provides, from a literatura review and critical analysis of similar previously performed programs, a intervention proposal in Emotional Intelligence with 7 and 8 years old children. in wich we´ll count with the innovative incorporation of a therapy dog, based on benefits that this entails. That programme is composed of 15 sessions in wich in a playful way through different dynamics and activities, shall be pursued to promote understanding, expression, regulation and identification of emotions, enhancing social skills, and strengthening self-concept and self-esteem.Máster Universitario en Psicología General Sanitaria (M169

Videojuegos en red: prototipo con técnicas y procesos desde el punto de vista del programador de un videojuego

En el momento en el que los programadores se enfrentan al objetivo de desarrollar un videojuego en red, tienen que afrontar diversos desafíos como que arquitectura de red es la más recomendable, como evitar que la experiencia de juego de lo usuarios se vea afectada por la latencia o las trampas, como administrar las sesiones de juego… Este trabajo analiza las distintas posibilidades que tienen los desarrolladores para implementar la parte red de un videojuego y compara la implementación de dos prototipos con géneros muy diferentes, haciendo uso de las herramientas Unity, Photon Fusion y Netcode for GameObjects.When programmers face the objective of developing an online videogame, they have to deal with several challenges such as which network architecture is the best to use, how to prevent the user's gaming experience from being affected by latency or cheats, the management of game sessions... This project analyses the different possibilities that developers have to implement the network part of a videogame and compares the implementation of two prototypes with different genres, using Unity, Photon Fusion and Netcode for GameObjects.Grado en Ingeniería Informátic

Data-Driven Computational Intelligence for Scientific Programming

Rubio-Largo, Á., Preciado, J. C., & Iribarne, L. (2019). Data-Driven Computational Intelligence for Scientific Programming. Scientific Programming,[5235706].[Editorial]. Doi: https://doi.org/10.1155/2019/5235706publishersversionpublishe

Swarm intelligence for optimizing the parameters of multiple sequence aligners

Rubio-Largo, Á., Vanneschi, L., Castelli, M., & Vega-Rodríguez, M. A. (2018). Swarm intelligence for optimizing the parameters of multiple sequence aligners. Swarm and Evolutionary Computation. DOI: 10.1016/j.swevo.2018.04.003Different aligner heuristics can be found in the literature to solve the Multiple Sequence Alignment problem. These aligners rely on the parameter configuration proposed by their authors (also known as default parameter configuration), that tried to obtain good results (alignments with high accuracy and conservation) for any input set of unaligned sequences. However, the default parameter configuration is not always the best parameter configuration for every input set; namely, depending on the biological characteristics of the input set, one may be able to find a better parameter configuration that outputs a more accurate and conservative alignment. This work's main contributions include: to study the input set's biological characteristics and to then apply the best parameter configuration found depending on those characteristics. The framework uses a pre-computed file to take the best parameter configuration found for a dataset with similar biological characteristics. In order to create this file, we use a Particle Swarm Optimization (PSO) algorithm, that is, an algorithm based on swarm intelligence. To test the effectiveness of the characteristic-based framework, we employ five well-known aligners: Clustal W, DIALIGN-TX, Kalign2, MAFFT, and MUSCLE. The results of these aligners see clear improvements when using the proposed characteristic-based framework.authorsversionpublishe

Multiobjective Metaheuristic to Design RNA Sequences

Rubio-Largo, A., Vanneschi, L., Castelli, M., & Vega-Rodriguez, M. A. (2019). Multiobjective Metaheuristic to Design RNA Sequences. IEEE Transactions on Evolutionary Computation, 23(1). DOI: 10.1109/TEVC.2018.2844116RNA inverse folding problem is a bioinformatics problem where the objective is to find an RNA sequence that folds into a given target secondary structure. In this work, we use Evolutionary Computation to solve a new and innovative multiobjective definition of this problem. In this new multiobjective definition of the problem, we have considered the similarity between target and predicted structures as a constraint, and three objective functions: (i) Partition Function (free energy of the ensemble), (ii) Ensemble Diversity and (iii) Nucleotides Composition. The Multiobjective Metaheuristic To Design RNA Sequences (m2dRNAs) proposed in this paper is compared against other RNA inverse folding methods published in the literature, such as RNAinverse, RNA-SSD, INFO-RNA, MODENA, NUPACK, fRNAkenstein, DSS-Opt, RNAiFOLD, antaRNA, ERD, and Eterna players. After a comprehensive comparative study on two well-known benchmarks (Rfam and Eterna100), we conclude that m2dRNAs is capable of obtaining very promising results in terms of both quality of RNA designs and required runtime. The source code of m2dRNAs is available at http://arco.unex.es/arl/m2dRNAs-sourcecode.zip.authorsversionpublishe

A Characteristic-Based Framework for Multiple Sequence Aligners

Rubio-Largo, Á., Vanneschi, L., Castelli, M., & Vega-Rodriguez, M. A. (2018). A Characteristic-Based Framework for Multiple Sequence Aligners. IEEE Transactions on Cybernetics, 48(1), 41-51. DOI: 10.1109/TCYB.2016.2621129The multiple sequence alignment is a well-known bioinformatics problem that consists in the alignment of three or more biological sequences (protein or nucleic acid). In the literature, a number of tools have been proposed for dealing with this biological sequence alignment problem, such as progressive methods, consistency-based methods, or iterative methods; among others. These aligners often use a default parameter configuration for all the input sequences to align. However, the default configuration is not always the best choice, the alignment accuracy of the tool may be highly boosted if specific parameter configurations are used, depending on the biological characteristics of the input sequences. In this paper, we propose a characteristic-based framework for multiple sequence aligners. The idea of the framework is, given an input set of unaligned sequences, extract its characteristics and run the aligner with the best parameter configuration found for another set of unaligned sequences with similar characteristics. In order to test the framework, we have used the well-known multiple sequence comparison by log-expectation (MUSCLE) v3.8 aligner with different benchmarks, such as benchmark alignments database v3.0, protein reference alignment benchmark v4.0, and sequence alignment benchmark v1.65. The results shown that the alignment accuracy and conservation of MUSCLE might be greatly improved with the proposed framework, specially in those scenarios with a low percentage of identity. The characteristic-based framework for multiple sequence aligners is freely available for downloading at http://arco.unex.es/arl/fwk-msa/cbf-msa.zipauthorsversionpublishe

Granular flow through an orifice: solving the free fall arch paradox

Several theoretical predictions of the mass flow rate of granular flows through outlets are based on the existence of a free fall arch region covering the silo outlet. Early in the nineteenth century, it was suggested that the particles crossing this region lose their kinetic energy and start to fall freely under their own weight. However, there is not conclusive evidence of this hypothetical region. We examined experimentally and numerically the micro-mechanical details of the particle flow through an orifice placed at the bottom of a silo. Remarkably, the contact stress monotonously decreases when the particles approach to the exit and it only vanishes just at the outlet. The behavior of this magnitude was practically independent of the size of orifice indicating that particle deformation, is insensible to the size of the aperture. Contrary, the behavior of the kinetic stress puts on evidence that the outlet size controls the propagation of the velocity fluctuations inside the silo. Examining this magnitude, we conclusively argue that indeed there is a well-defined transition region where the particle flow changes its nature. Above this region, the particle motion is completely correlated with the macroscopic flow. Our outcomes clarifies why the free fall arch picture has served as an approximation to describe the flow rate in the discharge of silos

Multiobjective characteristic-based framework for very-large multiple sequence alignment

Rubio-Largo, Á., Vanneschi, L., Castelli, M., & Vega-Rodríguez, M. A. (2018). Multiobjective characteristic-based framework for very-large multiple sequence alignment. Applied Soft Computing Journal, 69, 719-736. [Advanced online publication on 27 June 2017]DOI: 10.1016/j.asoc.2017.06.022In the literature, we can find several heuristics for solving the multiple sequence alignment problem. The vast majority of them makes use of flags in order to modify certain alignment parameters; however, if no flags are used, the aligner will run with the default parameter configuration, which, often, is not the optimal one. In this work, we propose a framework that, depending on the biological characteristics of the input dataset, runs the aligner with the best parameter configuration found for another dataset that has similar biological characteristics, improving the accuracy and conservation of the obtained alignment. To train the framework, we use three well-known multiobjective evolutionary algorithms: NSGA-II, IBEA, and MOEA/D. Then, we perform a comparative study between several aligners proposed in the literature and the characteristic-based version of Kalign, MAFFT, and MUSCLE, when solving widely-used benchmarks (PREFAB v4.0 and SABmark v1.65) and very-large benchmarks with thousands of unaligned sequences (HomFam).authorsversionpublishe

A short-term data based water consumption prediction approach

A smart water network consists of a large number of devices that measure a wide range of parameters present in distribution networks in an automatic and continuous way. Among these data, you can find the flow, pressure, or totalizer measurements that, when processed with appropriate algorithms, allow for leakage detection at an early stage. These algorithms are mainly based on water demand forecasting. Different approaches for the prediction of water demand are available in the literature. Although they present successful results at different levels, they have two main drawbacks: the inclusion of several seasonalities is quite cumbersome, and the fitting horizons are not very large. With the aim of solving these problems, we present the application of pattern similarity-based techniques to the water demand forecasting problem. The use of these techniques removes the need to determine the annual seasonality and, at the same time, extends the horizon of prediction to 24 h. The algorithm has been tested in the context of a real project for the detection and location of leaks at an early stage by means of demand forecasting, and good results were obtained, which are also presented in this paper.publishersversionpublishe

La conexión de experiencias de aprendizaje dentro y fuera de la escuela: un caso ilustrativo

Podeu consultar el llibre complet a: http://hdl.handle.net/2445/164579[spa] La finalidad de esta comunicación es presentar una aproximación teórica y empírica al estudio de las conexiones entre las experiencias de aprendizaje escolares y no escolares. Para este fin, se presenta el caso de una joven que cursa 4º de ESO en un instituto público de Barcelona. Se realizaron entrevistas semiestructuradas y en profundidad para explorar sus experiencias de aprendizaje en el marco de un proyecto pedagógico. Los resultados señalan algunos elementos que posibilitan la conexión de experiencias de aprendizaje relacionados con el tipo de actividad, la funcionalidad de los aprendizajes, la autenticidad de la tarea, la implicación de pares en las actividades y la posibilidad de toma de decisiones en el desarrollo de las actividades. En las conclusiones preliminares del estudio se destaca la importancia de los ejes de la entrevista para la construcción de la trayectoria de aprendizaje de la joven y la resignificación de las experiencias.[eng] The purpose of this communication is to present a theoretical and empirical approach to the study of the connections between connection in- and out-of-school learning experiences. To this end, the case of a girl of 4th grade of high education in a public school of Barcelona is presented. Semi-structured and in-depth interviews were conducted to explore their learning experiences within the framework of a pedagogical project. The results indicate some elements that allow the connection of learning experiences related to the type of activity, the functionality of the learning, the authenticity of the task, the involvement of peers in the activities and the possibility of decision-making in the development of the activities. The preliminary conclusions of the study highlight the importance of the categories of the interview for the construction of the student’s learning trajectory and the resignification of her experiences