Design and performance analysis study of an ion thruster

Desenvolupar l'estudi preliminar d'un dispositiu propulsor elèctric de tipus iònic per a un vehicle espacial.1. Introducció.2. Anàlisi de missió, incloent càlcul de trajectòries i/o maniobres orbitals típiques, amb un cert grau de detall.3. Justificació del motor iònic com a sistema propulsor adequat per a la missió en particular, a partir d'una anàlisi comparativa de diferents tipus de propulsors per a vehicles espacials, tot assenyalant els avantatges i inconvenients de cadascun d'ells.4. Breu introducció a la física de plasmes magnetitzats.5. Anàlisi preliminar d'un propulsor iònic, mitjançant mètodes analítics simplificats.6. Anàlisi numèrica mitjançant un model quasi-unidimensional, fent ús de la teoria de Brophy.7. Validació dels resultats, per comparació amb altres models numèrics i/o resultats d'assaigs experimentals.8. Anàlisi d'actuacions per diferents condicions d'operació.9. Conclusions

Evolving Aesthetic Maps for a Real Time Strategy Game

Artículo publicado en congreso SEED'2013 (I Spanish Symposium on Entertainment Computing), Septiembre 2013, Madrid.This paper presents a procedural content generator method that have been able to generate aesthetic maps for a real-time strategy game. The maps has been characterized based on several of their properties in order to de ne a similarity function between scenarios. This function has guided a multi-objective evolution strategy during the process of generating and evolving scenarios that are similar to other aesthetic maps while being di erent to a set of non-aesthetic scenarios. The solutions have been checked using a support-vector machine classi er and a self-organizing map obtaining successful results (generated maps have been classi ed as aesthetic maps)

Responsabilidad social en el sistema universitario español: compromisos de las universidades

Aportación a congresoEste trabajo, es fruto de la investigación desarrollada dentro del Programa de Estudios y Análisis del Ministerio de Educación de España, en el proyecto EA 2011-0027, un grupo de diecisiete investigadores, abogados, economistas, ingenieros y psicólogos, analizó el papel de la Responsabilidad Social en el Sistema Universitario Español (BENAVIDES y col. 2013). Se presenta el marco referencial en el que se desenvuelven las universidades españolas en relación con la denominada Responsabilidad Social Universitaria. Las universidades, tanto públicas como privadas, realizan numerosas acciones que pertenecen a diferentes dimensiones de la responsabilidad social y están conformando unas instituciones que se comprometen con la salud, sostenibilidad y solidaridad, tres ejes a lo largo de los cuales las universidades españolas, cada vez, de una forma más intensa desarrollan su dimensión social y responden a las necesidades y expectativas de sus grupos de interés.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Detecting and Monitoring Hate Speech in Twitter

Social Media are sensors in the real world that can be used to measure the pulse of societies. However, the massive and unfiltered feed of messages posted in social media is a phenomenon that nowadays raises social alarms, especially when these messages contain hate speech targeted to a specific individual or group. In this context, governments and non-governmental organizations (NGOs) are concerned about the possible negative impact that these messages can have on individuals or on the society. In this paper, we present HaterNet, an intelligent system currently being used by the Spanish National Office Against Hate Crimes of the Spanish State Secretariat for Security that identifies and monitors the evolution of hate speech in Twitter. The contributions of this research are many-fold: (1) It introduces the first intelligent system that monitors and visualizes, using social network analysis techniques, hate speech in Social Media. (2) It introduces a novel public dataset on hate speech in Spanish consisting of 6000 expert-labeled tweets. (3) It compares several classification approaches based on different document representation strategies and text classification models. (4) The best approach consists of a combination of a LTSM+MLP neural network that takes as input the tweet’s word, emoji, and expression tokens’ embeddings enriched by the tf-idf, and obtains an area under the curve (AUC) of 0.828 on our dataset, outperforming previous methods presented in the literatureThe work by Quijano-Sanchez was supported by the Spanish Ministry of Science and Innovation grant FJCI-2016-28855. The research of Liberatore was supported by the Government of Spain, grant MTM2015-65803-R, and by the European Union’s Horizon 2020 Research and Innovation Programme, under the Marie Sklodowska-Curie grant agreement No. 691161 (GEOSAFE). All the financial support is gratefully acknowledge

Flow of strange and charm particles in Pb--Pb collisions at sqrt{s_{NN}} = 2.76 TeV measured with ALICE

The ALICE experiment studies Pb-Pb collisions at the LHC in order to investigate the properties of the hot and dense QCD matter at extreme energy densities. Recent results from ALICE in identified particle flow allow for the exploration of the collective properties of the medium created in heavy-ion collisions. In this paper, I give special attention to strange and charm particles which probe the medium differently and thus provide new constraints for the study of its properties. The paper covers results on elliptic flow for pion, kaon, kzero, antiproton, phi, lambda, xi, omega, dplus, dzero and dstar measured at midrapidity by ALICE in Pb-Pb collisions at sqrt{s_{NN}} = 2.76 TeV. I present also the comparison with available models that predict the hydrodynamical evolution of the medium and the energy loss of light and heavy quarks as they travel through.Comment: 6 pages, 7 figures, ICHEP 2012 proceeding

Die Einsetzung des populärwissenschaftlichen Textes für die Grammatikarbeit im Fachsprachenunterricht.

Sin resume

Effects of exercise modalities on arterial stiffness and wave reflection: a systematic review and meta-analysis of randomized controlled trials

Background and Objectives: Physical activity is associated with lower cardiovascular and all-cause mortality. However, the effects of different exercise modalities on arterial stiffness are currently unclear. Our objectives were to investigate the effects of exercise modalities (aerobic, resistance or combined) on pulse wave velocity (PWV) and augmentation index (AIx), and to determine whether the effects on these indices differed according to the participants' or exercise characteristics. Methods: We searched the Medline, Embase and Cochrane Library databases from inception until April 2014 for randomized controlled trials lasting ≥4 weeks investigating the effects of exercise modalities on PWV and AIx in adults aged ≥18 years. Results: Forty-two studies (1627 participants) were included in this analysis. Aerobic exercise improved both PWV (WMD: −0.63 m/s, 95% CI: −0.90, −0.35) and AIx (WMD:−2.63%, 95% CI: −5.25 to −0.02) significantly. Aerobic exercise training showed significantly greater reduction in brachial-ankle (WMD: −1.01 m/s, 95% CI: −1.57, −0.44) than in carotid-femoral (WMD: -0.39 m/s, 95% CI: −0.52, −0.27) PWV. Higher aerobic exercise intensity was associated with larger reductions in AIx (β: −1.55%, CI −3.09, 0.0001). In addition, aerobic exercise had a significantly larger effect in reducing PWV (WMD:−1.0 m/s, 95% CI: −1.43, −0.57) in participants with stiffer arteries (PWV ≥8 m/s). Resistance exercise had no effect on PWV and AIx. There was no significant effect of combined exercise on PWV and AIx. Conclusions: We conclude that aerobic exercise improved arterial stiffness significantly and that the effect was enhanced with higher aerobic exercise intensity and in participants with greater arterial stiffness at baseline. Trial Registration PROSPERO: Database registration: CRD42014009744,