73 research outputs found

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    Analysis of a long-duration AR throughout five solar rotations: Magnetic properties and ejective events

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    Coronal mass ejections (CMEs), which are among the most magnificent solar eruptions, are a major driver of space weather and can thus affect diverse human technologies. Different processes have been proposed to explain the initiation and release of CMEs from solar active regions (ARs), without reaching consensus on which is the predominant scenario, and thus rendering impossible to accurately predict when a CME is going to erupt from a given AR. To investigate AR magnetic properties that favor CMEs production, we employ multi-spacecraft data to analyze a long duration AR (NOAA 11089, 11100, 11106, 11112 and 11121) throughout its complete lifetime, spanning five Carrington rotations from July to November 2010. We use data from the Solar Dynamics Observatory to study the evolution of the AR magnetic properties during the five near-side passages, and a proxy to follow the magnetic flux changes when no magnetograms are available, i.e. during far-side transits. The ejectivity is studied by characterizing the angular widths, speeds and masses of 108 CMEs that we associated to the AR, when examining a 124-day period. Such an ejectivity tracking was possible thanks to the multi-viewpoint images provided by the Solar-Terrestrial Relations Observatory and Solar and Heliospheric Observatory in a quasi-quadrature configuration. We also inspected the X-ray flares registered by the GOES satellite and found 162 to be associated to the AR under study. Given the substantial number of ejections studied, we use a statistical approach instead of a single-event analysis. We found three well defined periods of very high CMEs activity and two periods with no mass ejections that are preceded or accompanied by characteristic changes in the AR magnetic flux, free magnetic energy and/or presence of electric currents. Our large sample of CMEs and long term study of a single AR, provide further evidence relating AR magnetic activity to CME and Flare production.Fil: Iglesias, Francisco Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Cremades Fernandez, Maria Hebe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Merenda, Luciano A.. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Mandrini, Cristina Hemilse. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Lopez Fuentes, Marcelo Claudio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Ciencias Astronómicas, de la Tierra y del Espacio. Universidad Nacional de San Juan. Instituto de Ciencias Astronómicas, de la Tierra y del Espacio; ArgentinaFil: Lopez Fuentes, Marcelo Claudio. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Ugarte Urra, Ignacio. Spece Sciences División. Naval Research Laboratory; Estados Unido

    Application of Genetic Algorithms for the DARPTW Problem

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    On the Dial-a-Ride with time windows (DARPTW) customer transportation problem, there is a set of requests from customers to be transported from an origin place to a delivery place through a locations network, under several constraints like the time windows. The problem complexity (NP-Hard) forces the use of heuristics on its resolution. In this context, the application of Genetic Algorithms (GA) on DARPTW was not largely considered, with the exception of a few researches. In this work, under a restrictive scenario, a GA model for the problem was developed based on the adaptation of a generic GA model from literature. Our solution applies data pre-processing techniques to reduce the search space to points that are feasible regarding time windows constraints. Tests show competitive results on Cordeau & Laporte benchmark datasets while improving processing times

    Identification of grapevine clones via high-throughput amplicon sequencing: a proof-of-concept study

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    Wine cultivars are available to growers in multiple clonal selections with agronomic and enological differences. Phenotypic differences between clones originated from somatic mutations that accrued over thousands of asexual propagation cycles. Genetic diversity between grape cultivars remains unexplored, and tools to discriminate unequivocally clones have been lacking. This study aimed to uncover genetic variations among a group of clonal selections of 4 important Vitis vinifera cultivars: Cabernet sauvignon, Sauvignon blanc, Chardonnay, and Merlot, and use this information to develop genetic markers to discriminate the clones of these cultivars. We sequenced with short-read sequencing technology the genomes of 18 clones, including biological replicates for a total of 46 genomes. Sequences were aligned to their respective cultivar's reference genome for variant calling. We used reference genomes of Cabernet sauvignon, Chardonnay, and Merlot and developed a de novo genome assembly of Sauvignon blanc using long-read sequencing. On average, 4 million variants were detected for each clone, with 74.2% being single nucleotide variants and 25.8% being small insertions or deletions (InDel). The frequency of these variants was consistent across all clones. From these variants, we validated 46 clonal markers using high-throughput amplicon sequencing for 77.7% of the evaluated clones, most of them small InDel. These results represent an advance in grapevine genotyping strategies and will benefit the viticulture industry for the characterization and identification of the plant material

    Description of the antipredatory head-wobble behaviour in Chilean rear-fanged snakes Tachymenis peruviana Wiegmann, 1835 and Tachymenis chilensis coronellina Werner, 1898 (Serpentes, Dipsadidae)

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    In this work, we describe the first records of head-wobble behaviour for Tachymenis peruviana and T. chilensis coronellina. We analyse this behaviour (occurrence, frequency) and accompanying displays in both species. Of particular note is that T. ch. coronellina exhibited more frequent head-wobbling than T. peruviana and, in both records, wind activity was observed during this antipredatory behaviour

    High-density genetic map and QTL analysis of soluble solid content, maturity date, and mealiness in peach using genotyping by sequencing

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    Peach (Prunus persica) is one of the most important temperate fruit trees in the world, based on its production and cultivated area. Consumer acceptance is the principal objective of multiple breeding programs and it is dependent on many factors. Among these factors, an important role is played by the soluble solids content (SSC) and the postharvest performance represented by mealiness (M) susceptibility as a chilling injury disorder. Additionally, a major maturity date (MD) QTL has been reported to have a pleiotropic effect on both M and SSC. The aim of this work was QTL identification of SSC, MD, and M and to identify adequate candidate genes that are linked to regulation of these traits. The analysis was performed by evaluation of fruit quality traits during three consecutive seasons in an F1 progeny of 194 siblings, which were obtained from the intraspecific cross between the yellow-flesh peach “O’Henry” and the white-flesh nectarine NR-053. The main result was the construction of a genetic linkage map with 499 markers (486 SNPs, 11 SSRs, and two morphological markers) spanning 717.6 cM, with an average distance between markers of 1.5 cM/cluster. The analysis allowed the identification of consistent QTLs for SSC and M in the linkage group LG5 and for MD in LG1, LG2, LG5, and LG6. A large number of genes were annotated in QTL intervals, which was reduced by selecting the genes with at least one SNP, which caused an amino acid variation. For SSC, the data identified four transcription factors, one gene involved directly with the sugar accumulation process, and one cell wall remodeling-related gene. For MD, 23 cell wall-related genes, three jasmonic acid-linked genes, eight transcription factors, and one ripening-related gene were identified. Finally, only one cell wall gene was identified that was associated with M. In conclusion, these results improve our understanding of the genetic control of fruit quality traits with commercial relevance in P. persica and specifically in the O × N mapping population.info:eu-repo/semantics/publishedVersio

    Escalas de marginalidad y huellas de procesos entrelazados : lo ambiental, lo económico y lo demográfico en El Central, Departamento de San Martín, Mendoza

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    El distrito rural El Central, en el Departamento de San Martín, Mendoza, se presenta como un lugar con marginalidad social y desarticulación territorial. Se ubica cerca del río Mendoza,en el oasis norte y a 60 km. de la capital provincial. En su territorio y en su comunidad hay huellas de otras épocas, que motivaron a indagar sobre los orígenes de esta prolongada situación de marginalidad, con pocas perspectivas de crecimiento. Se presenta una síntesis de los procesos que se entrelazan dando origen a la situación actual, en lo demográfico, lo económico y lo ambiental. Se utiliza información surgida de diferentes fuentes: resultados de proyectos anteriores; una encuesta tipo censo realizada en forma conjunta entre el equipo de investigación, pobladores locales y estudiantes, documentos históricos e institucionales disponibles en El Central.“El Central" is a rural district located in the department of San Martin, Mendoza,which presents itself as socially marginal and territorially disjointed. It is located next to the Mendoza River, 60 km away from the capital city. There are traces of other times in its territory and community which motivated us to find out the origins of this prolonged marginal situation with few prospects of growth. A synthesis of the intertwining processes is presented, giving rise to the current situation considering demographic, economic and environmental dimensions. We use information from different sources: results of previous projects, a census survey conducted jointly by the research team, local interviews, local inhabitants and students, historical and institutional documents available in “El Central".Fil: Molina, Gladys. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de GeografíaFil: Schilan, Rosa . Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de GeografíaFil: Ortega, Laura. CONICET. INCIHUSA (Instituto de Ciencias Sociales, Humanas y Ambientales)Fil: Schmidt, Margarita. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de GeografíaFil: Riba, Laura. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de GeografíaFil: Urra Collett, Claudio. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de Geografí

    An Agent-Based Solution for the Berth Allocation Problem

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    This work presents the development of MABAP, a decision support system based on the agent technology that helps in solving the problem of berth allocation for ships within a port. The Berth Allocation Problem (BAP) regards the logistics involved in planning and controlling the berthing of vessels. A software architecture in terms of agents is presented; Berths and Ships representing the actors in the system, BerthRequest and BerthPlanner as representatives of ships and berths in the planning process, and finally the Dock and Central agents representing the dock or pier. The architecture modeling was done using PASSI methodology for the design of agent-oriented systems, and the implementation was done in JADE, a Javabased development environment for multiagent systems. To validate the resulting support system, tests were carried out in which the user can choose different portpolicy scenarios, ranging from maximizing vessels throughput to maximize berths use

    Observatorio de inteligencia territorial y prácticas de investigación con actores comunitarios: El Central (San Martín, Mendoza)

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    La perspectiva de Inteligencia Territorial (IT) es el medio que tienen investigadores y actores de una comunidad para planificar, definir, animar y evaluar políticas y acciones orientadas a obtener un mejor conocimiento del lugar que habitan y con ello alcanzar el desarrollo territorial sustentable. Se trata de poner el conocimiento al servicio de esa meta para responder ¿qué necesita la gente?, los recursos disponibles ¿alcanzan para satisfacer esas necesidades? e identificar y valorar cuáles son las oportunidades y vulnerabilidades del territorio. Se trabaja con comunidades escasamente integradas al entorno inmediato, con débil cohesión social, alto grado de individualismo, escaso sentido comunitario y mínimo conocimiento del potencial económico, social yterritorial. Es el caso del distrito El Central, Departamento de San Martín en el Este mendocino.Como pequeña localidad en un espacio deprimido, con rasgos de marginalidad socio- territorial y diversidad de actores en visible proximidad experimenta la indiferencia de parte de los organismos de gestión. Los objetivos inmediatos son coordinar el trabajo de los actores locales en el manejo de herramientas metodológicas y generar conocimiento sobre el territorio en los aspectos población, actividades, necesidades y recursos. En talleres comunitarios se capacita a la población local en un relevamiento por encuesta para conocer cuántos habitantes tiene El Central, cuáles son sus necesidades básicas y cómo ven su distrito. La aplicación de la metodología de investigación/acción da como resultado la apropiación colectiva de la información, la puesta en valor de las fortalezas del lugar, la organización de la comunidad y la formulación de propuestas de desarrollo.The prospect of Territorial Intelligence (TI) is the means by which researchers and actors in a community to plan, define, animate and evaluate politics and actions to gain a better understanding of where they live and thus achieve sustainable territorial development. Is putting knowledge at the service of that goal to answer what people need ?, do they reach the resources available to meet those needs? and identify and assess what are the opportunities and vulnerabilities of the territory. It works with the immediate environment poorly integrated communities with weak social cohesion, high degree of individualism, little sense of community and minimal knowledge of economic, social and territorial potential. In the case of the Central Department of San Martin in the east district of Mendoza. As a small town in a depressed space with features of socio-territorial marginality and diversity of actors in visible proximity experiences indifference from management agencies. The immediate objectives are to coordinate the work of local actors in the management of methodological tools and generate knowledge about the territory where the population, activities, needs and resources aspects. In community workshops to local people are trained in a survey by survey to find out how many people have the Central, what their basic needs and how they see their district. The application of research methodology / action results in the collective appropriation of information, the enhancement of strengths, the community organization and the formulation of development.Fil: Schilan, Rosa Cristina. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de Geografia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaFil: Molina, Gladys Edith. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaFil: Schmidt, Margarita. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras; ArgentinaFil: Benedetto, María Andrea. Universidad Nacional de Cuyo. Facultad de Ciencias Políticas y Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaFil: Novero, Andrés Nicolás. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras; ArgentinaFil: Urra Coletti, Claudio Gonzalo. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras; ArgentinaFil: González, Horacio. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de Geografia; Argentin
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