Search results for "imulation"

showing 10 items of 7271 documents

Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation

2019

Abstract In today’s competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluat…

0106 biological sciencesTraceabilityComputer scienceSupply chainGeneral Decision SciencesContext (language use)010501 environmental sciences010603 evolutionary biology01 natural sciencesWarehouse managementSupply and demandSettore ING-IND/17 - Impianti Industriali MeccaniciMonte Carlo simulationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcologyEcological impacts Food waste reduction Monte Carlo simulation Shelf life model Sustainability Warehouse managementEnvironmental economicsEcological impactWarehouseProduct (business)SustainabilitySustainabilityShelf life modelCarbon footprintEcological impacts; Food waste reduction; Monte Carlo simulation; Shelf life model; Sustainability; Warehouse managementFood waste reductionEcological Indicators
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Impact of Freshwater Inflow From the Volturno River on Coastal Circulation

2020

The coastal area located in front of the Volturno river's estuary (Gulf of Gaeta, central-eastern Tyrrhenian Sea) has been synoptically sampled during seven surveys, between June 2012 and October 2014. The vertical profiles of temperature and salinity have been acquired on a high resolution nearly-regular grid, in order to describe the spatial and temporal variability of the water masses characteristics. Moreover, to provide a first assessment of the steady circulation at small scale, the three-dimensional velocity field associated to each survey has been obtained through the full momentum equations of the Princeton Ocean Model. The data analysis has shown the entire water column characteri…

0106 biological sciencesWater massFreshwater inflowlcsh:QH1-199.5010504 meteorology & atmospheric sciencesWater masses characterizationTemperature salinity diagramsStratification (water)hydrologyOcean EngineeringOcean numerical simulationOcean numerical modellcsh:General. Including nature conservation geographical distributionAquatic ScienceOceanography01 natural sciencesTyrrhenia seaWater columnlcsh:Science0105 earth and related environmental sciencesWater Science and TechnologyGlobal and Planetary Change010604 marine biology & hydrobiologySettore GEO/01 - Paleontologia E Paleoecologiaeastern Tyrrhenian SeaPrinceton Ocean Modelcoastal circulation eastern Tyrrhenian Sea hydrology ocean numerical model water massesLongshore driftOceanographyOcean numerical model; eastern Tyrrhenian Sea; coastal circulation; water masses; hydrologycoastal circulationlcsh:QThermohaline circulationwater massesGeologyHydrology - HydrologieFrontiers in Marine Science
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Effect of acyl-CoA oxidase activity on the accumulation of gamma-decalactone by the yeast Yarrowia lipolytica: a factorial approach.

2007

International audience; beta-Oxidation is a cyclic pathway involved in the degradation of lipids. In yeast, it occurs in peroxisomes and the first step is catalyzed by an acyl-CoA oxidase (Aoxp). The yeast Yarrowia lipolytica possesses several genes (POX) coding for Aoxps. This study is based on the factorial analysis of results obtained with the many POX derivative strains that have been constructed previously. The effect of interactions between Aoxps on the acyl-CoA oxidase (Aox) activity was important even at the second order. We then investigated the effect of Aox activity on growth and lactone production. Aox activity was correlated with acidification of the medium by cells and with ce…

0106 biological sciencesYarrowia lipolyticaMESH: Enzyme ActivationMetabolic Clearance RateMESH: Factor Analysis StatisticalYarrowiaBiologymodèleModels Biological01 natural sciencesApplied Microbiology and BiotechnologyLactones03 medical and health sciencesEnzyme activatorSpecies SpecificityMESH: Computer Simulation010608 biotechnologyCombinatorial Chemistry TechniquesAcyl-CoA oxidaseMESH: Species SpecificityComputer Simulation030304 developmental biologychemistry.chemical_classificationMESH: Metabolic Clearance Rate0303 health sciencesOxidase testmétabolisme des acides grasAcyl-CoA oxidase activityMESH: Acyl-CoA OxidaseMESH: Models BiologicalYarrowia[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral MedicinePeroxisomebiology.organism_classificationYeastEnzyme ActivationBiochemistrychemistrylactoneMolecular MedicineMESH: Combinatorial Chemistry TechniquesMESH: YarrowiaAcyl-CoA OxidaseFactor Analysis StatisticalLactoneMESH: Lactones
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GenExP, un logiciel simulateur de paysages agricoles pour l'étude de la diffusion de transgènes

2007

 ; The software GENEXP allows to simulate 2-dimensional agricultural landscapes by using a traditional algorithmic geometry. Based on real or realistic field-patterns, GENEXP provides multiannual maps of agricultural landscapes, which are used by softwares simulating the dispersal of GM pollen grains and seeds at various scales.; GENEXP est un simulateur de paysages agricoles qui engendre des découpages parcellaires en utilisant une géométrie algorithmique classique. GENEXP fournit, sur la base de parcellaires réels ou réalistes, des cartes pluriannuelles de paysages agricoles utilisables par des logiciels qui simulent la dispersion des pollens et des graines d'OGM à différentes échelles.

0106 biological sciences[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]010603 evolutionary biology01 natural sciencesVORONOÏ TESSELATION[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentAGRICULTURAL LANDSCAPE[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]diagrammes de Voronoi[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]DIAGRAMMES DE VORONOÏpaysage agricole[SDV.EE]Life Sciences [q-bio]/Ecology environmentFIELD PATTERN[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]voronoi tesselationPROCESSUS PONCTUEL MARKOVIEN04 agricultural and veterinary sciencesGeneral Medicineflux de genes15. Life on landsimulationPARCELLAIRE[SDV.EE] Life Sciences [q-bio]/Ecology environmentagricultural landscape field-pattern germs distribution markov point process gene flowpaysage agricole parcellaire simulation diagrammes de Voronoi distribution de germes processus ponctuel markovien flux de genes voronoi tesselation INFORMATIQUEGERMS DISTRIBUTIONINFORMATIQUE040103 agronomy & agricultureMARKOV POINT PROCESS0401 agriculture forestry and fisheriesfield-patterngene flowDISTRIBUTION DE GERMES
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Comparative study of the efficiency of buffer zones and harvest discarding on gene flow containment in oilseed rape. A modelling approach

2009

International audience; Oilseed rape (OSR) genes can escape fields in space via pollen and seeds and in time via volunteers resulting from seeds lost before or during oilseed rape harvests. Previous simulation studies and field observations showed that co-existence at the landscape level of contrasting OSR varieties such as genetically modified (GM) and non-GM varieties require costly measures that are difficult to implement, such as isolation distances between OSR fields and stringent volunteer control in all fields and road margins. In the present study, two local strategies, non-GM buffer zones aroundGMfields and discarding the harvest of boundary plants of non-GM fields, were tested in …

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesBuffer zoneSoil ScienceHARVEST DISCARDINGPlant Sciencemedicine.disease_cause01 natural sciencesGene flowLandscape levelPollenmedicineGENE FLOWCropping systemBUFFER ZONECOLZAMathematics2. Zero hungerGMOCO-EXISTENCESimulation modeling04 agricultural and veterinary sciences15. Life on landPollen dispersalMODELAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesAgronomy and Crop ScienceCropping010606 plant biology & botany
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Assessing the capacity of different urban forms to preserve the connectivity of ecological habitats

2011

International audience; This paper addresses the relationship between anthropogenic forest habitat fragmentation and the form of urban patterns. Using a two-step methodology we first generate 40 theoretical residential development scenarios following a repeatable procedure; the simulated urban forms are either moderately compact or fractal. Then, we compare the scenarios according to the functional connectivity of the remaining forest habitat using a graph-based approach. The methodology is applied to the urban region of Besançon (France), where forest surfaces are considered as a generic habitat for several animal species. Results obtained show that fractal scenarios of residential develop…

0106 biological sciences[SHS.GEO] Humanities and Social Sciences/Geography0211 other engineering and technologies02 engineering and technologyManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/GeographyFractalCompact cityNature and Landscape ConservationCompact citySpatial indexesEcologySpatial simulationEcologyFunctional connectivityFragmentation (computing)Residential development021107 urban & regional planning[SHS.GEO]Humanities and Social Sciences/GeographyFractal city15. Life on landUrban StudiesGeographyHabitatGraph (abstract data type)Biological dispersalLandscape connectivityLandscape connectivity
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Towards sustainable and multifunctional agriculture in farmland landscapes: Lessons from the integrative approach of a French LTSER platform

2018

International audience; Agriculture is currently facing unprecedented challenges: ensuring food, fiber and energy production in the face of global change, maintaining the economic performance of farmers and preserving natural resources such as biodiversity and associated key ecosystem services for sustainable agriculture. Addressing these challenges requires innovative landscape scale farming systems that account for changing economic and environmental targets. These novel agricultural systems need to be recognized, accepted and promoted by all stakeholders, including local residents, and supported by public policies. Agroecosystems should be considered as socio-ecological systems and alter…

0106 biological sciencesagroecologyEnvironmental Engineering[SHS.INFO]Humanities and Social Sciences/Library and information sciencesParticipatory action researchadaptive governance[SDV.BID]Life Sciences [q-bio]/Biodiversitysocio-ecological system010603 evolutionary biology01 natural sciencesstakeholders12. Responsible consumptionEcosystem servicesfood-web[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems11. SustainabilitySustainable agricultureCitizen scienceEnvironmental ChemistryWaste Management and DisposalAgroecologyEnvironmental planningComputingMilieux_MISCELLANEOUS2. Zero hunger[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][SHS.STAT]Humanities and Social Sciences/Methods and statisticsbusiness.industry[SDE.IE]Environmental Sciences/Environmental Engineering04 agricultural and veterinary sciences[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landPollutionNatural resource[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation6. Clean water13. Climate actionAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesSocio-ecological systemltser[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness[SHS.HIST]Humanities and Social Sciences/History
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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A multi-site study to classify semi-natural grassland types

2009

International audience; Calibration and validation of simulation models describing herbage growth or feed quality of seminatural grasslands is a complex task for agronomists without investing effort into botanical surveys. To facilitate such modelling efforts, a limited number of grassland types were identified using a functional classification of species. These grassland types were characterized by three descriptors required to model herbage growth or feed quality: the abundance-weighted mean leaf dry matter content across grass species, the relative abundance of grasses, and an estimate of species richness. We conducted a multi-site analysis over 749 grasslands from eight temperate region…

0106 biological sciencesleaf traitsRestricted maximum likelihoodManagement type01 natural sciencesGrasslandnitrogenland-use changeNutrientSemi-natural grasslandphosphorus2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environmentgeography.geographical_feature_categoryEcology04 agricultural and veterinary sciencesVegetationClassification[ SDE.MCG ] Environmental Sciences/Global ChangesFunctional traitsplant-species richnessgrowth[SDE.MCG]Environmental Sciences/Global Changespermanent pastures[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyEllenberg indicator values[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentdiversity[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsTemperate climateRelative species abundance[ SDV.BID ] Life Sciences [q-bio]/Biodiversitygeography[ SDE.BE ] Environmental Sciences/Biodiversity and EcologySimulation modelingNutrients15. Life on land[SDE.ES]Environmental Sciences/Environmental and Society[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsAgronomy040103 agronomy & agricultureresponses0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologySpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologyAgronomy and Crop Science[ SDE.ES ] Environmental Sciences/Environmental and SocietySpecies richness
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The flex end-to-end simulator: From concept phase (A/B1) to ground segment and operations (C/D)

2018

ESA's FLEX/Sentinel-3 tandem mission aims at mapping Sun-induced fluorescence (SIF) as a proxy to quantify photosynthetic activity of terrestrial vegetation. Due to the complexity of the mission concept and stringent requirements for the data processing algorithms, ESA developed a Phase A/B1 End-to-End Mission Performance Simulator (E2ES) tool to reproduce the expected mission performance and check the mission and instrument concepts. In the current Phase C/D, the E2ES concept must evolve to consolidate the whole data processing chain, providing an accurate figures of the whole mission error budget and serving as a roadmap for the future development of FLEX Ground Segment. This paper gives …

0106 biological sciencesproductivityComputer scienceFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE0211 other engineering and technologiesGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA02 engineering and technologyMission simulator01 natural sciencesFLEXremote sensingEnd-to-end principleHyperspectralvegetationSun-induced chlorophyll fluorescenceSoftware designRadiometryFLEXfluorescenceGround segmentSentinel-3Simulation010606 plant biology & botany021101 geological & geomatics engineering
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