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showing 10 items of 7447 documents

Enquête Archives Ouvertes COUPERIN 2017 : résultats de l’enquête

2017

Les archives ouvertes s’inscrivent de plus en plus solidement et durablement dans le paysage documentaire de l’enseignement supérieur. Si les organismes de recherche ont été précurseurs pour la création d’archives ouvertes, les grandes écoles, mais surtout les universités ont désormais massivement rejoint le mouvement. Signe de cette progression notable, 82 % des répondants disposent en 2017 d’une archive en production ou en cours de mise en œuvre, contre 62 % en 2014. L’adoption majoritaire de la plate-forme HAL (qui représente 79 % des archives en production et 84 % des archives des universités parmi les répondants) se renforce encore depuis 2014. La structuration d’un réseau des utilisat…

Archive ouverte HAL[SHS.INFO]Humanities and Social Sciences/Library and information sciencesInstitutional Repositories[SHS.INFO] Humanities and Social Sciences/Library and information sciencesOpen archivesScience ouverteArchives ouvertesHAL Open ArchiveArchive ouverteConsortium CouperinOpen archiveOpen scienceGreen open accessArchive ouverte institutionnelle
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Les archives ouvertes : état des lieux en 2017

2018

International audience; Les archives ouvertes s’inscrivent de plus en plus solidement et durablement dans le paysage documentaire de l’enseignement supérieur. Si les organismes de recherche ont été précurseurs pour la création d’archives ouvertes, les grandes écoles, mais surtout les universités ont désormais massivement rejoint le mouvement. Signe de cette progression notable, 82 % des répondants disposent en 2017 d’une archive en production ou en cours de mise en œuvre, contre 62 % en 2014. L’adoption majoritaire de la plate-forme HAL (qui représente 79 % des archives en production et 84 % des archives des universités parmi les répondants) se renforce encore depuis 2014. La structuration …

Archive ouverte HAL[SHS.INFO]Humanities and Social Sciences/Library and information sciencesInstitutional Repositories[SHS.INFO] Humanities and Social Sciences/Library and information sciencesOpen archivesScience ouverteArchives ouvertesHAL Open ArchiveArchive ouverteConsortium CouperinOpen archiveOpen scienceGreen open accessArchive ouverte institutionnelle
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The microbial community of sub-surface sediment of a chronically contaminated SIC

2015

Hydrocarbons (HC), especially high molecular weight HC, are trapped in the sediments for a long time, making the benthic system a permanent pollution source, with several effects on the biota. Sediment bacterial communities play a significant role in the degradation of contaminants, both under aerobic and anaerobic conditions. In this work we focused on the bacterial communities of sediments (5-10 cm below surface), of a Site of Community Importance, the Priolo Bay, in Central Mediterranean Sea. The bay is situated in proximity to the Augusta Harbour, affected for decades by pollution from industrial and petrochemical plants. The microbial communities of sediments from six stations on two t…

Arcobacterhydrocarbonsub superficial sedimentSettore BIO/19 - Microbiologia Generale
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El patrimonio arquitectónico industrial valenciano. Algunos ejemplos

2004

El profesor Angus Buchanan definía la Arqueología Industrial como "aquel estudio que trata o tiene por objeto el descubrimiento, análisis, registro y preservación de los restos industriales del pasado". El objetivo de este trabajo es definir la arquitectura industrial, su delimitación cronológica, su delimitación temática, para llegar a dar unas claves concretas de las características principales de esta arquitectura. Arquitectura que pertenece a la era de la industrialización, ejemplo de la mecanización y exponente relevante de la arquitectura del periodo contemporáneo. También se reflexiona sobre la preservación de este patrimonio arquitectónico industrial y se analizan algunos ejemplos d…

Arquitectura industrialPatrimonio industrialRecuperación del patrimonio histórico-artísticoUNESCO::HISTORIA::Historia por épocas::Historia antiguaEvolución estéticaArqueología industrial:HISTORIA::Historia por épocas::Historia antigua [UNESCO]Patrimonio arquitectónicoConservación del patrimonio histórico-artístico
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Biological effects of inorganic arsenic on primary cultures of rat astrocytes

2010

It is well established that inorganic arsenic induces neurotoxic effects and neurological defects in humans and laboratory animals. The cellular and molecular mechanisms of its actions, however, remain elusive. Herein we report the effects of arsenite (NaAsO2) on primary cultures of rat astrocytes. Cells underwent induction of heat shock protein 70 only at the highest doses of inorganic arsenic (30 and 60 microM), suggesting a high threshold to respond to stress. We also investigated arsenic genotoxicity with the comet assay. Interestingly, although cells treated with 10 microM arsenite for 24 h maintained >70% viability, with respect to untreated cells, high DNA damage was already observed…

ArsenitesCell SurvivalDNA damagechemistry.chemical_elementBiologymedicine.disease_causeRats Sprague-Dawleychemistry.chemical_compoundSuperoxide Dismutase-1Settore BIO/10 - BiochimicaGeneticsmedicineAnimalsCell damageCells CulturedArsenicArseniteSuperoxide DismutaseGeneral Medicinemedicine.diseaseMolecular biologyCarcinogens EnvironmentalRatsHsp70Comet assaySettore BIO/18 - GeneticachemistryBiochemistryApoptosisAstrocytesComet Assayinorganic arsenic astrocytes cell damage DNA damage PIPPin.Reactive Oxygen SpeciesGenotoxicityDNA DamageInternational Journal of Molecular Medicine
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Using machine learning to disentangle LHC signatures of Dark Matter candidates

2019

We study the prospects of characterising Dark Matter at colliders using Machine Learning (ML) techniques. We focus on the monojet and missing transverse energy (MET) channel and propose a set of benchmark models for the study: a typical WIMP Dark Matter candidate in the form of a SUSY neutralino, a pseudo-Goldstone impostor in the shape of an Axion-Like Particle, and a light Dark Matter impostor whose interactions are mediated by a heavy particle. All these benchmarks are tensioned against each other, and against the main SM background ($Z$+jets). Our analysis uses both the leading-order kinematic features as well as the information of an additional hard jet. We explore different representa…

Artificial neural network010308 nuclear & particles physicsbusiness.industryComputer sciencePhysicsQC1-999Dark matterFOS: Physical sciencesGeneral Physics and AstronomySupersymmetryMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networkHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Robustness (computer science)0103 physical sciencesPrincipal component analysisProbability distributionArtificial intelligence010306 general physicsbusinessLight dark mattercomputerSciPost Physics
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Road Detection for Reinforcement Learning Based Autonomous Car

2020

Human mistakes in traffic often have terrible consequences. The long-awaited introduction of self-driving vehicles may solve many of the problems with traffic, but much research is still needed before cars are fully autonomous.In this paper, we propose a new Road Detection algorithm using online supervised learning based on a Neural Network architecture. This algorithm is designed to support a Reinforcement Learning algorithm (for example, the standard Proximal Policy Optimization or PPO) by detecting when the car is in an adverse condition. Specifically, the PPO gets a penalty whenever the virtual automobile gets stuck or drives off the road with any of its four wheels.Initial experiments …

Artificial neural networkComputer sciencebusiness.industrySupervised learningNeural network architectureReinforcement learningArtificial intelligenceReinforcement learning algorithmbusinessProceedings of the 2020 The 3rd International Conference on Information Science and System
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Predicting hospital associated disability from imbalanced data using supervised learning.

2019

Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to show the potential of artificial intelligence in the form of machine learning to complement the existing medical research. This is accomplished by studying the outcome of hospitalization of elderly patients as a supervised learning task. A rich set of features characterizing the medical and social situation of elderly patients is leveraged and using confusion matrices, association rule mining, and two different classes of supervised learning algo…

Association rule learningmedicine.medical_treatmentvanhuksetMedicine (miscellaneous)sairaalahoitoOutcome (game theory)Task (project management)03 medical and health sciences0302 clinical medicineArtificial IntelligenceMedicineHumanstoimintarajoitteetDisabled PersonsSet (psychology)Adverse effectFinlandta316030304 developmental biologyAgedta1130303 health sciencesRehabilitationbusiness.industrySupervised learningennusteetta3142medicine.diseaseMedical researchHospitalizationmachine learningkoneoppiminenhospital associated disabilityMedical emergencySupervised Machine Learningtiedonlouhintabusiness030217 neurology & neurosurgeryrandom forestArtificial intelligence in medicine
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Event Horizon Telescope observations of the jet launching and collimation in Centaurus A

2021

Full list of authors: Janssen, Michael; Falcke, Heino; Kadler, Matthias; Ros, Eduardo; Wielgus, Maciek; Akiyama, Kazunori; Baloković, Mislav; Blackburn, Lindy; Bouman, Katherine L.; Chael, Andrew; Chan, Chi-kwan; Chatterjee, Koushik; Davelaar, Jordy; Edwards, Philip G.; Fromm, Christian M.; Gómez, José L.; Goddi, Ciriaco; Issaoun, Sara; Johnson, Michael D.; Kim, Junhan; Koay, Jun Yi; Krichbaum, Thomas P.; Liu, Jun; Liuzzo, Elisabetta; Markoff, Sera; Markowitz, Alex; Marrone, Daniel P.; Mizuno, Yosuke; Müller, Cornelia; Ni, Chunchong; Pesce, Dominic W.; Ramakrishnan, Venkatessh; Roelofs, Freek; Rygl, Kazi L. J.; van Bemmel, Ilse; Event Horizon Telescope Collaboration.--This Open Access artic…

AstrofísicaActive galactic nucleusCosmology and Nongalactic Astrophysics (astro-ph.CO)010504 meteorology & atmospheric sciencesEvent horizonastro-ph.GAAstronomyAstrophysics::High Energy Astrophysical PhenomenaAstrophysics - astrophysics of galaxiesAstrophysics - cosmology and nongalactic astrophysicsCentaurus AFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesAstrophysics - high energy astrophysical phenomena0103 physical sciencesVery-long-baseline interferometry010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesAstronomia ObservacionsEvent Horizon TelescopePhysicsastro-ph.HEHigh Energy Astrophysical Phenomena (astro-ph.HE)Supermassive black holeJet (fluid)Galactic CenterAstronomy and AstrophysicsAstrophysics of Galaxies (astro-ph.GA)astro-ph.CO
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Robust Neutrino Constraints by Combining Low Redshift Observations with the CMB

2009

We illustrate how recently improved low-redshift cosmological measurements can tighten constraints on neutrino properties. In particular we examine the impact of the assumed cosmological model on the constraints. We first consider the new HST H-0 = 74.2 +/- 3.6 measurement by Riess et al. (2009) and the sigma(8)(Omega(m)/0.25)(0.41) = 0.832 +/- 0.033 constraint from Rozo et al. (2009) derived from the SDSS maxBCG Cluster Catalog. In a ACDM model and when combined with WMAP5 constraints, these low-redshift measurements constrain Sigma m(v) < 0.4 eV at the 95% confidence level. This bound does not relax when allowing for the running of the spectral index or for primordial tensor perturbations…

AstrofísicaAstrophysics and AstronomyCosmology and Nongalactic Astrophysics (astro-ph.CO)Cosmic microwave backgroundDark matterFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesNeutrinsNeutrinos010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhysicsSpectral indexCosmologia010308 nuclear & particles physicsEquation of state (cosmology)SupernovesAstronomy and AstrophysicsCoupling (probability)RedshiftCosmologyHigh Energy Physics - PhenomenologySupernovaeDark energyHigh Energy Physics::ExperimentNeutrinoAstrophysics - Cosmology and Nongalactic Astrophysics
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