Early evolution of disrupted asteroid P/2016 G1 (PANSTARRS)

We present deep imaging observations of activated asteroid P/2016 G1 (PANSTARRS) using the 10.4m Gran Telescopio Canarias (GTC) from late April to early June 2016. The images are best interpreted as the result of a relatively short-duration event with onset about $\mathop{350}_{-30}^{+10}$ days before perihelion (i.e., around 10th February, 2016), starting sharply and decreasing with a $\mathop{24}_{-7}^{+10}$ days (Half-width at half-maximum, HWHM). The results of the modeling imply the emission of $\sim$1.7$\times$10$^7$ kg of dust, if composed of particles of 1 micrometer to 1 cm in radius, distributed following a power-law of index --3, and having a geometric albedo of 0.15. A detailed fitting of a conspicuous westward feature in the head of the comet-like object indicates that a significant fraction of the dust was ejected along a privileged direction right at the beginning of the event, which suggests that the parent body has possibly suffered an impact followed by a partial or total disruption. From the limiting magnitude reachable with the instrumental setup, and assuming a geometric albedo of 0.15 for the parent body, an upper limit for the size of possible fragment debris of $\sim$50 m in radius is derived.Comment: Accepted by ApJ Letter

The dust environment of Main-Belt Comet P/2012 T1 (PANSTARRS)

Main-Belt Comet P/2012 T1 (PANSTARRS) has been imaged using the 10.4m Gran Telescopio Canarias (GTC) and the 4.2m William Herschel Telescope (WHT) at six epochs in the period from November 2012 to February 2013, with the aim of monitoring its dust environment. The dust tails brightness and morphology are best interpreted in terms of a model of sustained dust emission spanning 4 to 6 months. The total dust mass ejected is estimated at $\sim$6--25$\times10^6$ kg. We assume a time-independent power-law size distribution function, with particles in the micrometer to centimeter size range. Based on the quality of the fits to the isophote fields, an anisotropic emission pattern is favored against an isotropic one, in which the particle ejection is concentrated toward high latitudes ($\pm45^\circ$ to $\pm90^\circ$) in a high obliquity object ($I$=80$^\circ$). This seasonally-driven ejection behavior, along with the modeled particle ejection velocities, are in remarkable agreement to those we found for P/2010 R2 (La Sagra) \citep{Moreno11a}.Comment: Accepted for publication in The Astrophysical Journal Letter

Estudio comparativo de capas de TiO2depositadas por PLD a presión atmosférica y nebulización pirolítica

Las nanocapas cerámicas son ampliamente estudiadas por su interés en aplicaciones tecnológicas. Estos recubrimientos pueden conformar celdas solares, superficies de transmisión, emisión o reflexión selectiva de luz, entre otras tantas aplicaciones. En este trabajo se presenta una comparación entre películas delgadas de TiO2 depositadas por ablación láser pulsado (PLD) y por nebulización pirolítica (sol-gel spray-pyrolisis, SP). La caracterización de las nanocapas se realizó empleando diversas técnicas como microscopía electrónica de barrido (SEM), espectrometría de dispersión de energía de Rayos X (EDS), microscopia de Fuerza Atómica (AFM), Difracción de Rayos X y espectroscopia Raman.TiO 2 layers and nanolayers are widely studied due to its technological applications. This material could be used in solar cells, transmission, emission or selective reflection, among other applications. In this paper, we show a characterization of layers of TiO 2 grown by two different methods, Pulsed Laser Deposition (PLD) at atmospheric pressure and spray pyrolysis (SP). The samples were characterized by SEM, EDS, AFM, XRD and Raman Spectrometry.Fil: Tejerina, Matías Rubén. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Tecnología de Recursos Minerales y Cerámica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Tecnología de Recursos Minerales y Cerámica; ArgentinaFil: Gamba, Martina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaFil: Ponce Cabrera, L.. San Petersburg Electrotechnical University; RusiaFil: Alvira, Fernando Carlos. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Prevalence of the substantive right and reduction of penalty for acceptance of conditioned charges

El presente artículo se ocupa de examinar las normas procesales vigentes y el precedente judicial en materia de allanamiento a cargos en la audiencia de formulación de imputación con el fin de entender porque en el sistema procesal penal implementado por la ley 906 de 2004 la aplicación efectiva del principio constitucional de la prevalencia del derecho sustancial por parte de los jueces de conocimiento garantiza la protección del derecho sustancial a la rebaja de pena en los casos de aceptación de cargos condicionada, cuando en esa oportunidad procesal el delegado de la Fiscalía General de la Nación no cumple con su deber legal de realizar una adecuada calificación jurídica de los hechos investigados, como parte del derecho al debido proceso.This article studies the procedural rules in force and the binding precedent for accepting criminal charges at the hearing formulation on trial in order to understand why in the criminal justice system, implemented by the Law 906 of 2004, the effective implementation of the constitutional principle of prevalence of substantive law by the trial judges guarantees the protection of substantive law to plea bargaining in cases of acceptance of conditional charges, when the Attorney General's office does not comply with its legal duty to elaborate a proper legal characterization of the facts investigated at the procedural opportunity, as part of the right to due process

Fonaments de tecnologia electrònica

Enginyeria Tècnica Industrial, especialitat de Mecànica. 914: Fonaments de Tecnologia Electrònic

La expresión génica hipotalámica de la enzima Citocromo P450scc en ratas hembras es regulada positivamente por estrógeno y negativamente por progesterona

Los neuroesteroides son potentes moléculas modulatorias sintetizadas en sistema nervioso central y cuya actividad se restringe a dicho ámbito. En su síntesis participan enzimas del grupo del citocromo P450 (CP450) enzimas que no pertenecen a dicho grupo. En este trabajo se estudia la expresión génica de CP450scc a nivel de hipotálamo medio basal (HMB) de ratas hembra en diferentes condiciones hormonales, y se lo relaciona con su eventual regulación a través de esteroides gonadales, particularmente estrógenos y progesterona. Se proporciona evidencia de que existe una expresión diferencial en HMB, y que dicha expresión se encuentra positivamente modulada por estrógenos, y negativamente modulada por progesterona.Neurosteroids are extremely potent modulatory molecules synthesized in the central nervous system (CNS), whose activity is limited to that ambit. Several types on enzimatic molecules participate of their synthesis, like enzymes related to the cytochrome P450 (CP450) and others not vinculated to this group. In this paper we study the gene expression of CP450scc in the mediobasal hypothalamus (MBH) of female rats under differents hormonal condition, and its eventual relationship with estrogen and progesterone regulation of that expression. Evidence is presented regarding differential gene expression of CP450scc in the MBH, as well as evidence related to its positive regulation by estrogen and negative regulation by progesterone.Fil: Giuliani, Fernando. Consejo Nacional de Investigaciones Científicas y TécnicasFil: Yunes, Roberto. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Departamento de PatologíaFil: Cabrera, Ricardo. Universidad de Mendoza. Facultad de Ciencias de la Salu

Dynamic learning of cases from data streams

This paper presents a dynamic adaptive framework for building a case library being able to cope with a data stream in the field of Case-Based Reasoning. The framework provides a three-layer architecture formed by a set of case libraries dynamically built. This Dynamic and Adaptive Case Library (DACL), can process in an incremental way a data stream, and can be used as a classification model or a regression model, depending on the predicted variable. In this paper, the work is focused on classification tasks. Each case library has a first layer formed by the dynamic clusters of cases, a second one formed by the meta-cases or prototypes of the cluster, and a third one formed by an incremental indexing structure. In our approach, some variant of k-d tres have been used, in addition to an exploration technique to get a more efficient retrieval time. This three-layer famework can be constructed in an incremental way. Several meta-case learning approaches are proposed, as well as some case learning strategies. The framework has been tested with several datasets. The experimental results show a very good performance in comparison with a batch learning scheme over the same data.Peer ReviewedPostprint (author's final draft

A New Fast Motion Estimation and Mode Decision algorithm for H.264 Depth Maps encoding in Free Viewpoint TV

In this paper, we consider a scenario where 3D scenes are modeled through a View+Depth representation. This representation is to be used at the rendering side to generate synthetic views for free viewpoint video. The encoding of both type of data (view and depth) is carried out using two H.264/AVC encoders. In this scenario we address the reduction of the encoding complexity of depth data. Firstly, an analysis of the Mode Decision and Motion Estimation processes has been conducted for both view and depth sequences, in order to capture the correlation between them. Taking advantage of this correlation, we propose a fast mode decision and motion estimation algorithm for the depth encoding. Results show that the proposed algorithm reduces the computational burden with a negligible loss in terms of quality of the rendered synthetic views. Quality measurements have been conducted using the Video Quality Metric

Environmental data stream mining through a case-based stochastic learning approach

© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Environmental data stream mining is an open challenge for Data Science. Common methods used are static because they analyze a static set of data, and provide static data-driven models. Environmental systems are dynamic and generate a continuous data stream. Dynamic methods coping with the temporal nature of data must be provided in Data Science. Our proposal is to model each environmental information unit, timely generated, as a new case/experience in a Case-Based Reasoning (CBR) system. This contribution aims to incrementally build and manage a Dynamic Adaptive Case Library (DACL). In this paper, a stochastic method for the learning of new cases and management of prototypes to create and manage the DACL in an incremental way is introduced. This stochastic method works with two main moments. An evaluation of the method has been carried using a data stream of air quality of the city of Obregon, Sonora. México, with good results. In addition, other datasets have been mined to ensure the generality of the approach.Peer ReviewedPostprint (author's final draft