Análisis general de sistemas productivos claves y sus indicadores a nivel nacional en el contexto de crecimiento verde

El concepto de crecimiento verde fue incluido en el Plan Nacional de Desarrollo 2014-2018 “Todos por un Nuevo País” con el objetivo de buscar el desarrollo económico sostenible, la competitividad y la reducción de vulnerabilidades al cambio climático. En este informe se busca dar a conocer el estado actual de los indicadores de crecimiento verde para diferentes sistemas productivos agropecuarios en Colombia e identificar las opciones tecnológicas que permitan mejorar dichos indicadores con el fin de incrementar la productividad de la tierra sin afectar los demás indicadores de crecimiento verde. Para lograr esto se han propuesto en este estudio cinco fases que van desde la fase de preparación, un análisis general a nivel nacional, un análisis detallado a nivel regional, un análisis de barreras para la implementación de medidas y recomendaciones. Este reporte corresponde a la fase dos del estudio sobre análisis general. La línea base de expansión en área proyectada para los cinco sistemas productivos, la construcción y estimación de los indicadores a nivel nacional para cada uno de los sistemas productivos y una lista de opciones tecnológicas que pueden contribuir al crecimiento verde en estos sistemas productivos. Posteriormente se estimará el potencial que tiene cada tecnología sobre los indicadores de crecimiento verde. En este estudio también se incluye la metodología y resultados sobre el proceso de priorización de los sistemas productivos. The concept of green growth was included in the National Development Plan 2014-2018 "All for a New Country" with the objective of seeking sustainable economic development, competitiveness and the reduction of vulnerabilities in climate change. This report seeks to publicize the current status of green growth indicators for different agricultural production systems in Colombia and identify the technological options that allow improving the indicators in order to increase the productivity of the land without affecting the other indicators of green growth To achieve this, five phases have been improved in this study, ranging from the preparation phase, a general analysis at the national level, detailed analysis at the regional level, an analysis of barriers to the implementation of measures and recommendations. This report corresponds to the phase of the study on general analysis. The baseline projected in this area for the five productive systems, the construction and the estimation of the indicators at national level for each one of the productive systems and a list of technological options that can contribute to the green growth in these productive systems. Subsequently, the potential of each technology on green growth indicators will be estimated. This study also includes the methodology and results on the process of prioritization of productive systems.The concept of green growth was included in the National Development Plan 2014-2018 "All for a New Country" with the objective of seeking sustainable economic development, competitiveness and the reduction of vulnerabilities in climate change. This report seeks to publicize the current status of green growth indicators for different agricultural production systems in Colombia and identify the technological options that allow improving the indicators in order to increase the productivity of the land without affecting the other indicators of green growth To achieve this, five phases have been improved in this study, ranging from the preparation phase, a general analysis at the national level, detailed analysis at the regional level, an analysis of barriers to the implementation of measures and recommendations. This report corresponds to the phase of the study on general analysis. The baseline projected in this area for the five productive systems, the construction and the estimation of the indicators at national level for each one of the productive systems and a list of technological options that can contribute to the green growth in these productive systems. Subsequently, the potential of each technology on green growth indicators will be estimated. This study also includes the methodology and results on the process of prioritization of productive systems

Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation

GWAS have identified a breast cancer susceptibility locus on 2q35. Here we report the fine mapping of this locus using data from 101,943 subjects from 50 case-control studies. We genotype 276 SNPs using the 'iCOGS' genotyping array and impute genotypes for a further 1,284 using 1000 Genomes Project data. All but two, strongly correlated SNPs (rs4442975 G/T and rs6721996 G/A) are excluded as candidate causal variants at odds against >100:1. The best functional candidate, rs4442975, is associated with oestrogen receptor positive (ER+) disease with an odds ratio (OR) in Europeans of 0.85 (95% confidence interval=0.84-0.87; P=1.7 × 10-43) per t-allele. This SNP flanks a transcriptional enhancer that physically interacts with the promoter of IGFBP5 (encoding insulin-like growth factor-binding protein 5) and displays allele-specific gene expression, FOXA1 binding and chromatin looping. Evidence suggests that the g-allele confers increased breast cancer susceptibility through relative downregulation of IGFBP5, a gene with known roles in breast cell biology

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation