Search results for "language use"

showing 10 items of 5440 documents

Introducing Memory in Coarse-Grained Molecular Simulations

2021

[Image: see text] Preserving the correct dynamics at the coarse-grained (CG) level is a pressing problem in the development of systematic CG models in soft matter simulation. Starting from the seminal idea of simple time-scale mapping, there have been many efforts over the years toward establishing a meticulous connection between the CG and fine-grained (FG) dynamics based on fundamental statistical mechanics approaches. One of the most successful attempts in this context has been the development of CG models based on the Mori–Zwanzig (MZ) theory, where the resulting equation of motion has the form of a generalized Langevin equation (GLE) and closely preserves the underlying FG dynamics. In…

010304 chemical physicsComputer scienceMarkov processEquations of motionContext (language use)Statistical mechanics010402 general chemistry01 natural sciencesField (computer science)0104 chemical sciencesSurfaces Coatings and Filmssymbols.namesakeSimple (abstract algebra)0103 physical sciencesMaterials ChemistrysymbolsStatistical physicsLimit (mathematics)Physical and Theoretical ChemistryFocus (optics)
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Diabetes and renin-angiotensin-aldosterone system: Implications for covid-19 patients with diabetes treatment management

2020

In the context of the COVID-19 continuous spreading, this paper focuses on the increased risk of diabetic patients regarding the metabolic control and the uncertainties related to SARS-CoV-2 infection. Chronic hyperglycaemia negatively affects the immune system, which triggers an increase of morbidity and mortality for viral infections. A key aspect of COVID-19 resides in the involvement of renin-angiotensin-aldosterone (RAAS) system that causes a cascade of reactions mediated by vasoactive peptides with implications in vasoconstriction, vascular permeability, oxidative stress remodelling and tissue injuries. Activation of RAAS at pulmonary level, is responsible for the local damage. Many q…

010405 organic chemistrybusiness.industry030209 endocrinology & metabolismContext (language use)Vascular permeabilityACEi ARBs COVID-19 Diabetes Of renin-angiotensin-aldosterone system RAAS SARS-CoV-2medicine.diseasemedicine.disease_causeBioinformatics01 natural sciences0104 chemical sciences03 medical and health sciences0302 clinical medicineImmune systemMetabolic control analysisDiabetes mellitusRenin–angiotensin systemmedicineGeneral Pharmacology Toxicology and Pharmaceuticsmedicine.symptombusinessVasoconstrictionOxidative stress
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Detection of X-ray flares from AX J1714.1-3912, the unidentified source near RX J1713.7-3946

2018

Molecular clouds are predicted to emit nonthermal X-rays when they are close to particle-accelerating supernova remnants (SNRs), and the hard X-ray source AX J1714.1-3912, near the SNR RX J1713.7-3946, has long been considered a candidate for diffuse nonthermal emission associated with cosmic rays diffusing from the remnant to a closeby molecular cloud. We aim at ascertaining the nature of this source by analyzing two dedicated X-ray observations performed with Suzaku and Chandra. We extracted images from the data in various energy bands, spectra, and light curves and studied the long-term evolution of the X-ray emission on the basis of the ~4.5 yr time separation between the two observatio…

010504 meteorology & atmospheric sciencesAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayContext (language use)Astrophysics01 natural sciencesSpectral lineX-rays: binariesSettore FIS/05 - Astronomia E Astrofisica0103 physical sciencesX-rays: bursts010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsISM: supernova remnants0105 earth and related environmental sciencesHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsMolecular cloudAstronomy and AstrophysicsLight curveX-rays: ISMSupernovaOrders of magnitude (time)Space and Planetary ScienceSupergiantAstrophysics - High Energy Astrophysical Phenomena
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Edge-Based Missing Data Imputation in Large-Scale Environments

2021

Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis

010504 meteorology & atmospheric sciencesComputer scienceDistributed computingUrban sensingMobile sensingContext (language use)Information technology02 engineering and technology01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Smart cityEdge intelligence11. Sustainability0202 electrical engineering electronic engineering information engineeringLeverage (statistics)Edge computingVoronoi tessellation0105 earth and related environmental sciencesSmart cityOut-of-order executionSettore INF/01 - InformaticaMulti-agent systemMissing data imputation020206 networking & telecommunicationsT58.5-58.64Variety (cybernetics)Multi-agent system[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Mobile deviceInformation Systems
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Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing

2019

[EN] The interest of the scientific community on the remote observation of sun-induced chlorophyll fluorescence (SIF) has increased in the recent years. In this context, hyperspectral ground measurements play a crucial role in the calibration and validation of future satellite missions. For this reason, the European cooperation in science and technology (COST) Action ES1309 OPTIMISE has compiled three papers on instrument characterization, measurement setups and protocols, and retrieval methods (current paper). This study is divided in two sections; first, we evaluated the uncertainties in SIF retrieval methods (e.g., Fraunhofer line depth (FLD) approaches and spectral fitting method (SFM))…

010504 meteorology & atmospheric sciencesComputer scienceEconomicsGround spectrometersScience0211 other engineering and technologiesContext (language use)02 engineering and technologyGround spectrometer01 natural sciencesSpectral lineRetrieval methodApproximation errorSun-induced chlorophyll fluorescenceSensitivity (control systems)910 Geography & travelChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRetrieval methodsSpectrometerSun-induced chlorophyll fluorescence; Ground spectrometers; Retrieval methods1900 General Earth and Planetary SciencesQHyperspectral imagingsun-induced chlorophyll fluorescence; ground spectrometers; retrieval methods3. Good health10122 Institute of GeographyFISICA APLICADALine (geometry)General Earth and Planetary Sciencesddc:620Interpolation
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Changements environnementaux survenant à la limite Oligocène/Miocène du bassin des Limagnes (Massif central, France).

2018

16 pages; International audience; Continental environments are very sensitive to climatic variations. A unique opportunity to study the climate changes around the Oligocene/Miocene boundary is offered by the Limagne graben Basin (France) where this stage boundary is well constrained by fossils. Indeed, some localities of the Limagne Graben Basin are so rich in mammal remains that they have become a European reference for mammal biostratigraphy. The dominant sedimentary facies of the lacustrine deposits in the northern part of the Limagne Graben Basin are composed of poorly cemented marls and calcarenites containing various plants and animals remains (e.g. algae, fish bones and teeth, gastro…

010504 meteorology & atmospheric sciencesContext (language use)Biostratigraphy010502 geochemistry & geophysics01 natural sciencesPaleontology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistrycarbonates lacustresMarl14. Life underwaterstromatolitebassin des Limagnes0105 earth and related environmental sciencesPalynologygeographygeography.geographical_feature_categoryLimagne Basinisotopes de l’oxygènebiologylimite oligo-miocèneoxygen isotopeslcsh:QE1-996.5GeologyMassif15. Life on landbiology.organism_classificationlacustrine carbonateGrabenlcsh:GeologyStromatolite13. Climate action[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyapatitePeriod (geology)Oligocene/Miocene boundarybiozoneGeologyBSGF - Earth Sciences Bulletin
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Understanding deep learning in land use classification based on Sentinel-2 time series

2020

AbstractThe use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided excellent results in applications ranging from parameter estimation to image classification and anomaly detection. Although the vast majority of studies report precision indicators, there is a lack of studies dealing with the interpretability of the predictions. This shortcoming hampers a wider adoption of DL approaches by a wider users community, as model’s decisions are not accountable. In applications that involve the management of public budgets or policy compliance, a better interpretability of predictions is strictly required. This work aims …

010504 meteorology & atmospheric sciencesEnvironmental economicsComputer scienceProcess (engineering)0211 other engineering and technologieslcsh:MedicineClimate changeContext (language use)02 engineering and technology01 natural sciencesArticleRelevance (information retrieval)lcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpretabilityMultidisciplinaryLand useContextual image classificationbusiness.industryDeep learninglcsh:RClimate-change policy15. Life on landComputer scienceData scienceEnvironmental sciencesEnvironmental social sciences13. Climate actionlcsh:QAnomaly detectionArtificial intelligencebusinessCommon Agricultural PolicyAgroecologyScientific Reports
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Petrographic and geochemical characterization of the Middle‒Upper Jurassic Fe–Mn crusts and mineralizations from Monte Inici (north-western Sicily): …

2021

AbstractFe–Mn concretions and mineralizations, associated with condensed horizons and hardground, are significant archives in ancient carbonate rocks. Their petro-chemical study allows an assessment of the palaeoenvironmental context in which they were formed also connected to their biotic or abiotic origin. At the western side of the Monte Inici (Fornazzo section, north-western Sicily) a well exposed outcrop of condensed pelagic limestones (Rosso Ammonitico facies: Middle‒Upper Jurassic) is well-known and thoroughly studied. In this section, the base of the Rosso Ammonitico facies consists of a very condensed level rich in fossils with a variable thickness deposited from the early Bathonia…

010504 meteorology & atmospheric sciencesGeochemistrySettore GEO/07 - Petrologia E PetrografiaContext (language use)engineering.material010502 geochemistry & geophysicsCarbonate hardgrounds01 natural sciencesDiagenesisPetrographyTodorokiteIsotopes of carbonFe–Mn crusts Frutexites Microbial mediation Mineralogy Trace elements REE Stable isotope Growth rateFaciesengineeringGeneral Earth and Planetary SciencesCarbonate rockGeology0105 earth and related environmental sciences
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Using mosses as biomonitors to study trace element emissions and their distribution in six different volcanic areas

2017

Volcanoes emit SO2, CO2, and H2S, but also trace elements gases and particles such as As, Cd, Cr, Cu, Hg, Ni, Pb, and Sb. Active moss bag biomonitoring, an easy to apply and low budget method, was used to determine trace element release from volcanic areas of different geological context and climates. Exposure height variations (0.7–1.6 m above ground) due to different availability of natural tie points did not affect the results. Accumulation was linear for exposure durations from three days to nine weeks, so values were comparable by normalization to moss exposure time. Uncovered moss bags showed higher accumulation than co-exposed covered ones because of additional dust and wet deposit…

010504 meteorology & atmospheric sciencesLavaMineralogyContext (language use)010501 environmental sciences01 natural sciencesVolcanic GasesGeochemistry and PetrologyBiomonitoringeventGeophysicVolatiles0105 earth and related environmental sciencesevent.disaster_typeVolatile elementVolcanic emissiongeographygeography.geographical_feature_categorybiologyTrace elementActive biomonitoringbiology.organism_classificationMossGeophysicsVolcanoMetal(loid)GeologyJournal of Volcanology and Geothermal Research
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The UKC3 regional coupled environmental prediction system

2019

Abstract. This paper describes an updated configuration of the regional coupled research system, termed UKC3, developed and evaluated under the UK Environmental Prediction collaboration. This represents a further step towards a vision of simulating the numerous interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land using more integrated regional coupled prediction systems at km-scale resolution. The UKC3 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean surface waves (WAVEWATCH III), coupled together using OASIS3-MC…

010504 meteorology & atmospheric sciencesMeteorology010505 oceanographylcsh:QE1-996.5Forecast skillContext (language use)Unified Model01 natural sciencesWind speedAtmospherelcsh:GeologyCoupling (physics)Meteorology and ClimatologySurface waveRange (statistics)Environmental sciencePhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciences
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