Principal Component Analysis of Results Obtained from Finite-Difference Time-Domain Algorithms

Finite-Differences Time-Domain (FDTD) algorithms are well established tools of computational electromagnetism. Because of their practical implementation as computer codes, they are affected by many numerical artefact and noise. In order to obtain better results we propose using Principal Component Analysis (PCA) based on multivariate statistical techniques. The PCA has been successfully used for the analysis of noise and spatial temporal structure in a sequence of images. It allows a straightforward discrimination between the numerical noise and the actual electromagnetic variables, and the quantitative estimation of their respective contributions. Besides, The GDTD results can be filtered to clean the effect of the noise. In this contribution we will show how the method can be applied to several FDTD simulations: the propagation of a pulse in vacuum, the analysis of two-dimensional photonic crystals. In this last case, PCA has revealed hidden electromagnetic structures related to actual modes of the photonic crystal

Coordinating heterogeneous IoT devices by means of the centralized vision of the SDN controller

The IoT (Internet of Things) has become a reality during recent years. The desire of having everything connected to the Internet results in clearly identified benefits that will impact on socio economic development. However, the exponential growth in the number of IoT devices and their heterogeneity open new challenges that must be carefully studied. Coordination among devices to adapt them to their users' context usually requires high volumes of data to be exchanged with the cloud. In order to reduce unnecessary communications and network overhead, this paper proposes a novel network architecture based on the Software-Defined Networking paradigm that allows IoT devices coordinate and adapt them within the scope of a particular context.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Antenas ópticas y detectores de luz

La investigación sobre el comportamiento de estructuras metálicas cuyo tamaño es comparable a la longitud de onda de la radiación detectada puede realizarse considerándolas como antenas detectoras de radiación óptica. El diseño, análisis y caracterización de estos dispositivos requiere el estudio de los fenómenos básicos de interacción entre la radiación y la materia. A la vez, su inclusión en sistemas con relevancia tecnológica requiere la medida y caracterización de sus propiedades. Nuestro equipo de investigación, integrado en el «Grupo Complutense de Óptica Aplicada», se ha dedicado durante los últimos años al estudio de estos dispositivos así como a la caracterización de todo tipo de detectores de luz, y a la definición de aquellas figuras de mérito que son relevantes a la hora de establecer su uso

A visual embedding for the unsupervised extraction of abstract semantics

Vector-space word representations obtained from neural network models have been shown to enable semantic operations based on vector arithmetic. In this paper, we explore the existence of similar information on vector representations of images. For that purpose we define a methodology to obtain large, sparse vector representations of image classes, and generate vectors through the state-of-the-art deep learning architecture GoogLeNet for 20 K images obtained from ImageNet. We first evaluate the resultant vector-space semantics through its correlation with WordNet distances, and find vector distances to be strongly correlated with linguistic semantics. We then explore the location of images within the vector space, finding elements close in WordNet to be clustered together, regardless of significant visual variances (e.g., 118 dog types). More surprisingly, we find that the space unsupervisedly separates complex classes without prior knowledge (e.g., living things). Afterwards, we consider vector arithmetics. Although we are unable to obtain meaningful results on this regard, we discuss the various problem we encountered, and how we consider to solve them. Finally, we discuss the impact of our research for cognitive systems, focusing on the role of the architecture being used.This work is partially supported by the Joint Study Agreement no. W156463 under the IBM/BSC Deep Learning Center agreement, by the Spanish Government through Programa Severo Ochoa (SEV-2015-0493), by the Spanish Ministry of Science and Technology through TIN2015-65316-P project and by the Generalitat de Catalunya (contracts 2014-SGR-1051), and by the Core Research for Evolutional Science and Technology (CREST) program of Japan Science and Technology Agency (JST).Peer ReviewedPostprint (published version

People as a Service: a mobile-centric model for providing collective sociological profiles

Mobile devices have become increasingly popular in the everyday life of many individuals. By taking an insight into the most common uses of mobile devices we clearly appreciate that accessing internetbased services has grown greatly. This, and the fact that they are extremely personal gadgets has turned them into the main interface used by individuals to express themselves towards the outside world and to receive information from others. As a result of the highly personal use, mobile devices have been granted the potential to become unrivaled devices for building and storing the virtual profiles of their owners. Access to such profiles is of great interest in fields such as governance, health, smart cities, etc. Generating a centralized profile of a user is a task upon which a lot of interest has been put in the field of social mining. People-as-a-Service (PeaaS) is a computing model that seeks to establish the foundations upon which technologies that rely on mobile-centric computing models for social purposes should evolve.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

A Role for Pre-mRNA-PROCESSING PROTEIN 40C in the Control of Growth, Development, and Stress Tolerance in Arabidopsis thaliana

Because of their sessile nature, plants have adopted varied strategies for growing and reproducing in an ever-changing environment. Control of mRNA levels and pre-mRNA alternative splicing are key regulatory layers that contribute to adjust and synchronize plant growth and development with environmental changes. Transcription and alternative splicing are thought to be tightly linked and coordinated, at least in part, through a network of transcriptional and splicing regulatory factors that interact with the carboxyl-terminal domain (CTD) of the largest subunit of RNA polymerase II. One of the proteins that has been shown to play such a role in yeast and mammals is pre-mRNA-PROCESSING PROTEIN 40 (PRP40, also known as CA150, or TCERG1). In plants, members of the PRP40 family have been identified and shown to interact with the CTD of RNA Pol II, but their biological functions remain unknown. Here, we studied the role of AtPRP40C, in Arabidopsis thaliana growth, development and stress tolerance, as well as its impact on the global regulation of gene expression programs. We found that the prp40c knockout mutants display a late-flowering phenotype under long day conditions, associated with minor alterations in red light signaling. An RNA-seq based transcriptome analysis revealed differentially expressed genes related to biotic stress responses and also differentially expressed as well as differentially spliced genes associated with abiotic stress responses. Indeed, the characterization of stress responses in prp40c mutants revealed an increased sensitivity to salt stress and an enhanced tolerance to Pseudomonas syringae pv. maculicola (Psm) infections. This constitutes the most thorough analysis of the transcriptome of a prp40 mutant in any organism, as well as the first characterization of the molecular and physiological roles of a member of the PRP40 protein family in plants. Our results suggest that PRP40C is an important factor linking the regulation of gene expression programs to the modulation of plant growth, development, and stress responses.Fil: Hernando, Carlos Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: García Hourquet, Mariano. Fundación Instituto Leloir; ArgentinaFil: de Leone, María José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Careno, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Iserte, Javier Alonso. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Mora Garcia, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Yanovsky, Marcelo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentin

Mobile Learning in Pre-Service Teacher Education: Perceived Usefulness of AR Technology in Primary Education

Mobile learning is a resource that can enhance the teaching-learning process of students and improve the training of future teachers. Specifically, augmented reality (AR) technology allows for immersive and experiential learning without the need to leave the classroom. The purposes of this paper were to apply AR technology in the training of future Primary Education teachers and to analyze the perceived usefulness of AR in the classroom by future teachers. A quantitative approach was used based on a design with a control group and two experimental groups with a post-test using a sample of 171 second-year students studying an education degree. The results showed that experimentation with AR promoted a slight increase in student motivation. However, no significant differences were found between the control group and the experimental groups. Finally, the findings allowed us to establish that the implementation of resources such as AR does not differ in the opinion of future teachers about the inclination to implement AR in the classroom

Home advantage analysis in ACB league in season 2007-2008

Home advantage was defined as the fact that home teams win more than the 50% of their matches (Courneya & Carron, 1992). The aim of this work was to investigate the home advantage in the ACB league and identify the game-related statistics which best discriminate home and away teams. The data were obtained from the Spanish Basketball Association for the period 2007-2008 ACB league (n= 306). Game related statistics were normalized to 100 ball possessions. In order to compare game related statistics in home and away teams, a discriminative analysis was employed. This analysis identifies the game related statistics that best discriminate between home and away teams. The function obtained was interpreted with the structural canonical coefficients (SC), with values higher than |.30|. In the 2007-2008 ACB league, the home teams won the 55.22% (n=169) of the games. The analysis identifying the two-point field goals made, blocks made, dunks, the defensive rebounds and the assists as common to the mean vectors that discriminate home teams in all games. Blocks received contribute to discriminate away teams in ACB league. These results could be used by the psychologist who works with the team. They must design specific programs to decrease anxiety levels, and to improve motivation and concentration levels in basketball players before a competition

Complex system theory in team sports : example in 5 on 5 basketball contest

The purpose of the study was to analyze basketball contest under complex systems framework. Control and order parameters were defined as time and offensive rating. The data was composed by 73 games from the ACB league during the 2007-08 season. Relative phase of confronting teams was calculated through Hilbert Transform. Results show stability, instability and transition periods, with coordination in-phase and anti-phase. Perturbations were found in the development of the game. These perturbations move the systems from stable to instable states. Findings of the study guarantee the dynamics analysis of basketball contest. Coaches should prepare their teams to be able of analyze environmental information and find new solutions for game constraints

Thr105Ile (rs11558538) polymorphism in the histamine N-methyltransferase (HNMT) gene and risk for Parkinson disease A PRISMA-compliant systematic review and meta-analysis

Background/aims: Several neuropathological, biochemical, and pharmacological data suggested a possible role of histamine in the etiopathogenesis of Parkinson disease (PD). The single nucleotide polymorphism (SNP) rs11558538 in the histamine Nmethyltransferase (HNMT) gene has been associated with the risk of developing PD by several studies but not by some others. We carried out a systematic review that included all the studies published on PD risk related to the rs11558538 SNP, and we conducted a meta-analysis following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Methods: We used several databases to perform the systematic review, the software Meta-DiSc 1.1.1 to perform the metaanalysis of the eligible studies, and the Q-statistic to test heterogeneity between studies. Results: The meta-analysis included 4 eligible case–control association studies for the HNMT rs11558538 SNP and the risk for PD (2108 patients, 2158 controls). The frequency of the minor allele positivity showed a statistically significant association with a decreased risk for PD, both in the total series and in Caucasians. Although homozygosity for the minor allele did not reach statistical significance, the test for trend indicates the occurrence of a gene–dose effect. Global diagnostic odds ratios (95% confidence intervals) for rs11558538T were 0.61 (0.46–0.81) for the total group, and 0.63 (0.45–0.88) for Caucasian patients. Conclusion: The present meta-analysis confirms published evidence suggesting that the HNMT rs11558538 minor allele is related to a reduced risk of developing PD.Trabajo financiado por: Instituto de Salud Carlos III. Fondo de Investigación Sanitaria. Ayudas PI12/00241, PI12/00324, PI15/00303 y RETICS RD12/0013/0002 Junta de Extremadura y Fondos FEDER. Ayuda GR15026peerReviewe