354 research outputs found

    Machine learning techniques to select Be star candidates. An application in the OGLE-IV Gaia south ecliptic pole field

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    Statistical pattern recognition methods have provided competitive solutions for variable star classification at a relatively low computational cost. In order to perform supervised classification, a set of features is proposed and used to train an automatic classification system. Quantities related to the magnitude density of the light curves and their Fourier coefficients have been chosen as features in previous studies. However, some of these features are not robust to the presence of outliers and the calculation of Fourier coefficients is computationally expensive for large data sets. We propose and evaluate the performance of a new robust set of features using supervised classifiers in order to look for new Be star candidates in the OGLE-IV Gaia south ecliptic pole field. We calculated the proposed set of features on six types of variable stars and on a set of Be star candidates reported in the literature. We evaluated the performance of these features using classification trees and random forests along with K-nearest neighbours, support vector machines, and gradient boosted trees methods. We tuned the classifiers with a 10-fold cross-validation and grid search. We validated the performance of the best classifier on a set of OGLE-IV light curves and applied this to find new Be star candidates. The random forest classifier outperformed the others. By using the random forest classifier and colour criteria we found 50 Be star candidates in the direction of the Gaia south ecliptic pole field, four of which have infrared colours consistent with Herbig Ae/Be stars. Supervised methods are very useful in order to obtain preliminary samples of variable stars extracted from large databases. As usual, the stars classified as Be stars candidates must be checked for the colours and spectroscopic characteristics expected for them

    On the Reduced SU(N) Gauge Theory in the Weyl-Wigner-Moyal Formalism

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    Weyl-Wigner-Moyal formalism is used to describe the large-NN limit of reduced SU(N)(N) quenching gauge theory. Moyal deformation of Schild-Eguchi action is obtained.Comment: 24 pages, phyzzx file, no figures, version to appear in Int. J. Mod. Phys.

    Spontaneous Symmetry Breakdown in non-relativistic Quantum Mechanics

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    The advantages and disadvantages of some pedagogical non-relativistic quantum-mechanical models, used to illustrate spontaneous symmetry breakdown, are discussed. A simple quantum-mechanical toy model (a spinor on the line, subject to a magnetostatic interaction) is presented, that exhibits the spontaneous breakdown of an internal symmetry.Comment: 19 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1111.1213. Equations (30) and (31) have been corrected. Other minor correction

    Development of a Dynamic Goniometer with an Incremental Encoder

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    Angle dynamic measurements of body joints have become an important parameter to know for sportsmen, physicians and analysts of rehabilitation processes. The development of devices that allows those measurements turns out to be a hard work for biomedical engineers because during the acquisition process the mechanical system usually affects the natural joints movements. Digital goniometers have been constructed using different electronic principles, especially using resistance variations in potentiometers. In this paper we propose the construction of a dynamic goniometer with an incremental encoder using a mechanical transmission between a hinge and a pulley connected to an optical disk. The rotation is detected with an infrared led and a phototransistor. Calculations are done through a microcontroller and finally shown in real time using a liquid crystal display (LCD).La medición dinámica de los ángulos articulares se ha convertido en un parámetro fundamental para deportistas, médicos y analistas de los procesos de rehabilitación. El desarrollo de dispositivos para estas aplicaciones ha presentado retos importantes debido a la imposibilidad de implementar los sistemas mecánicos requeridos para la medición, sin afectar el movimiento natural de las articulaciones. Los goniómetros digitales se han construido a partir de diferentes principios electrónicos, particularmente basados en las variaciones resistivas de potenciómetros. Este trabajo muestra el desarrollo e implementación de un goniómetro dinámico basado en un encoder incremental con un sistema de transmisión mecánico entre una articulación de tipo bisagra y una polea conectada a un disco óptico. La rotación se detecta con un LED infrarrojo y un fototransistor. El cálculo del movimiento angular en la articulación se realiza con un microcontrolador. Finalmente los datos se muestran en tiempo real en una pantalla de cristal líquido (LCD)

    Detection of metabolites in Flor de Mayo common beans (Phaseolus vulgaris L.) and their response to inoculation with Trichoderma harzianum

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    Seed germination involves complex processes where plant growth-promoting substances are released into the growth medium, mainly involving pathways that start in tryptophan (TRP) and end in the formation of indole-3-acetic acid (IAA). Among them, four are known as TRP-dependent and a fifth as TRP-independent. Some compounds were observed during germination of bean seeds that involved at least three IAA synthesis pathways and that kynurenine (KYN) is the first detected metabolite which is found in greater concentration. It was followed by tryptamine (TAM), TRP and IAA. The results of Trichoderma harzianum inoculation in greenhouse tests showed variability in Flor de Mayo beans seedlings in response to physiological level and production parameters. The effect of Trichoderma in Flor de Mayo common bean showed that strain 802 had a significant effect on the development of the height of bean seedlings, and that the 812 strain showed significant effect on the development of root bean seedlings. Increased growth of stem and root caused by Trichoderma strains in Flor de Mayo beans involves beneficial effects of inoculation on plant growth and development parameters and can be taken as they were a measure of survival and development of seedlings.Key words: Biofertilizers, indole-3-acetamide, tryptophan,indole-3- acetic acid, kynurenine

    Interfaces neuronales y sistemas máquina-cerebro: fundamentos y aplicaciones. Revisión

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    Debido a la alta incidencia de personas en situación de discapacidad motora y sensorial, la investigación en el desarrollo de interfaces neuronales y sistemas de comunicación máquina-cerebro ha tenido gran auge a través de los últimos diez años. La construcción de estas interfaces requiere un trabajo coordinado de disciplinas como: fisiología, ciencia de los materiales, instrumentación y procesamiento de señales, inteligencia computacional, mecánica, electrónica, robótica e informática, entre otras. Todas ellas para lograr una correcta interconexión entre el funcionamiento del sistema nervioso, la construcción de electrodos biocompatibles, la obtención de señales aptas para el procesamiento, la clasificación e identificación de patrones codificados y el diseño de los elementos efectores que den sentido a la interfaz. En esta revisión se hace un recorrido por las tres etapas fundamentales de las interfaces neuronales: la detección de las señales, el procesamiento de estas y la amplia gama de posibilidades para los mecanismos efectores.Abstract—During the past ten years the Neural Interfaces and brain-computer communication systems area has become an important field for research, in part due to the increasing statistics of motor and sensorial disabilities. The development of these systems and interfaces requires the coordinated work of different areas such as physiology, materials science, instrumentation and signal processing, computational intelligence, mechanics, electronics, robotics, and informatics, among others. They allowed the right integration between the nervous system physiology, the construction of biocompatible electrodes, the acquiring of proper signals for processing, the classification and identification of coded patterns and the design of the actuators elements to finally achieve the goal of the interface. In this review the three basic stages of neural interfaces are shown. This includes: signal acquiring, signal processing and the wide variety of applications with the effectors systems

    Brain iron deficiency changes the stoichiometry of adenosine receptor subtypes in cortico-striatal terminals. Implications for restless legs syndrome

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    Brain iron deficiency (BID) constitutes a primary pathophysiological mechanism in restless legs syndrome (RLS). BID in rodents has been widely used as an animal model of RLS, since it recapitulates key neurochemical changes reported in RLS patients and shows an RLS-like behavioral phenotype. Previous studies with the BID-rodent model of RLS demonstrated increased sensitivity of cortical pyramidal cells to release glutamate from their striatal nerve terminals driving striatal circuits, a correlative finding of the cortical motor hyperexcitability of RLS patients. It was also found that BID in rodents leads to changes in the adenosinergic system, a downregulation of the inhibitory adenosine A1 receptors (A1Rs) and upregulation of the excitatory adenosine A2A receptors (A2ARs). It was then hypothesized, but not proven, that the BID-induced increased sensitivity of cortico-striatal glutamatergic terminals could be induced by a change in A1R/A2AR stoichiometry in favor of A2ARs. Here, we used a newly developed FACS-based synaptometric analysis to compare the relative abundance on A1Rs and A2ARs in cortico-striatal and thalamo-striatal glutamatergic terminals (labeled with vesicular glutamate transporters VGLUT1 and VGLUT2, respectively) of control and BID rats. It could be demonstrated that BID (determined by measuring transferrin receptor density in the brain) is associated with a selective decrease in the A1R/A2AR ratio in VGLUT1 positive-striatal terminals

    Exploring sunflower responses to Sclerotinia head rot at early stages of infection using RNA-seq analysis

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    Sclerotinia head rot (SHR), caused by the necrotrophic fungus Sclerotinia sclerotiorum, is one of the most devastating sunflower crop diseases. Despite its worldwide occurrence, the genetic determinants of plant resistance are still largely unknown. Here, we investigated the Sclerotinia-sunflower pathosystem by analysing temporal changes in gene expression in one susceptible and two tolerant inbred lines (IL) inoculated with the pathogen under field conditions. Differential expression analysis showed little overlapping among ILs, suggesting genotype-specific control of cell defense responses possibly related to differences in disease resistance strategies. Functional enrichment assessments yielded a similar pattern. However, all three ILs altered the expression of genes involved in the cellular redox state and cell wall remodeling, in agreement with current knowledge about the initiation of plant immune responses. Remarkably, the over-representation of long non-coding RNAs (lncRNA) was another common feature among ILs. Our findings highlight the diversity of transcriptional responses to SHR within sunflower breeding lines and provide evidence of lncRNAs playing a significant role at early stages of defense.Fil: Fass, Mónica Irina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Ehrenbolger, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Maringolo, Carla A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Montecchia, Juan Francisco. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Quiroz, Facundo José. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaFil: García García, Francisco. Centro de Investigaciones Príncipe Felipe; EspañaFil: Dopazo Blázquez, Joaquín. Hospital Virgen del Rocio; EspañaFil: Hopp, Horacio Esteban. Universidad de Buenos Aires; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; Argentin

    Estimation parameters and black box model of a brushless DC motor

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    El modelamiento de un proceso o una planta es de vital importancia para el diseño de su sistema de control, ya que permite predecir su dinámica y comportamiento ante diferentes circunstancias, entradas, perturbaciones y ruido. El objetivo principal de este trabajo es identificar qué modelo es mejor entre el matemático y el de caja negra para un motor específico de corriente continua sin escobillas de imanes permanentes. Para ello se presenta el modelo matemático de un motor de corriente continua sin escobillas PW16D del fabricante Golden Motor y se compara con su modelo de caja negra, ambos se obtienen a partir de datos experimentales. Dichos datos, el voltaje promedio aplicado y la velocidad angular, se adquieren mediante una tarjeta de adquisición y se importan al ordenador. Las constantes del modelo matemático se estiman mediante un ajuste de curvas basado en algoritmos de mínimos cuadrados no lineales y patrón de búsqueda mediante herramienta computacional. Para la estimación de constantes del modelo matemático mediante mínimos cuadrados no lineales y patrón de búsqueda se obtuvo una bondad de ajuste de 84,88% y 80,48% respectivamente. La bondad de ajuste obtenida por el modelo de caja negra fue de 87,72%. El modelo matemático presentó ligeramente menor bondad de ajuste, pero permite analizar el comportamiento de variables de interés como el consumo de corriente y el torque aplicado al motor. Debido a esto, se concluye que el modelo matemático obtenido mediante datos experimentales del motor sin escobillas PW16D es mejor que su modelo de caja negra.The modeling of a process or a plant is vital for the design of its control system, since it allows predicting its dynamic and behavior under different circumstances, inputs, disturbances and noise. The main objective of this work is to identify which model is best for a permanent magnet brushless DC specific motor. For this, the mathematical model of a DC motor brushless PW16D, manufactured by Golden Motor, is presented and compared with its black box model; both are derived from experimental data. These data, the average applied voltage and the angular velocity, are acquired by a data acquisition card and imported to the computer. The constants of the mathematical model are estimated by a curve fitting algorithm based on non-linear least squares and pattern search using computational tool. To estimate the mathematical model constants by non-linear least square and search pattern, a goodness of fit of 84.88% and 80.48% respectively was obtained. The goodness of fit obtained by the black box model was 87.72%. The mathematical model presented slightly lower goodness of fit, but allowed to analyze the behavior of variables of interest such as the power consumption and the torque applied to the motor. Because of this, it is concluded that the mathematical model obtained by experimental data of the brushless motor PW16D, is better than its black box model.

    Calidad del bosque de ribera del río El Tunal, Durango, México; mediante la aplicación del índice QBR

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    The assessment of the ecological condition of the river banks is an important element in the rivers study around the world.The objective of this work was to evaluate the ecological condition of the riparian forest in a transect of 21 km of ElTunal river in Mexico with the QBR index. In the transect of study six sites were evaluated which were selected by therepresentation, possibilities of access and the heterogeneity of the vegetation. In general, the results have shown a riverwith important signs of deterioration; two sites results in an intermediate quality, two sites results in bad quality and tworesults in poor quality.La evaluación de la condición ecológica de las riberas es un elemento importante en el estudio de los ríos alrededor delmundo. El objetivo del presente trabajo fue evaluar la calidad del bosque de ribera, desde un punto de vista estructural yfuncional, en un tramo de 21 kilómetros del río El Tunal en Durango, México, mediante la aplicación del índice QBR. Enel tramo estudiado se evaluaron seis sitios seleccionados por su representatividad, accesibilidad y heterogeneidad de suvegetación. En general, los resultados muestran un río con indicios importantes de deterioro; se encontraron dos sitios concalidad intermedia, dos sitios presentaron calidad mala y los dos restantes presentaron calidad pésima
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