Search results for "Models"

showing 10 items of 8211 documents

Modelling hydrolysis: Simultaneous versus sequential biodegradation of the hydrolysable fractions

2018

Hydrolysis is considered the limiting step during solid waste anaerobic digestion (including co-digestion of sludge and biosolids). Mechanisms of hydrolysis are mechanistically not well understood with detrimental impact on model predictive capability. The common approach to multiple substrates is to consider simultaneous degradation of the substrates. This may not have the capacity to separate the different kinetics. Sequential degradation of substrates is theoretically supported by microbial capacity and the composite nature of substrates (bioaccessibility concept). However, this has not been experimentally assessed. Sequential chemical fractionation has been successfully used to define i…

[SDV.BIO]Life Sciences [q-bio]/BiotechnologyBiosolidsSEQUENTIAL EXTRACTIONANAEROBIC DIGESTIONBIODEGRADATION02 engineering and technology010501 environmental sciencesTRITICUM AESTIVUM01 natural sciences7. Clean energyNUMERICAL MODELSLUDGE DIGESTIONBioreactorsMETHANEBIOLOGICAL MATERIALSACTIVATED SLUDGE0202 electrical engineering electronic engineering information engineeringAnaerobiosisSequential modelPRIORITY JOURNALWaste Management and DisposalComputingMilieux_MISCELLANEOUSCALIBRATIONSewageCONCENTRATION (PARAMETER)ChemistryFRACTIONATIONACID HYDROLYSISINCUBATION TIMEMODELLINGHYDROLYSISCHEMICAL FRACTIONATIONSEQUENTIAL DEGRADATIONBiodegradation EnvironmentalWASTE TREATMENTORGANIC MATTER[SDE]Environmental SciencesANAEROBIC DIGESTION MODELADM1SOLID WASTE020209 energyMODELSFractionationCAPACITYHydrolysisDIGESTIONISOTOPIC FRACTIONATIONNONHUMANCHEMICAL OXYGEN DEMANDARTICLEMODEL SELECTION0105 earth and related environmental sciencesChromatographyModels TheoreticalSUBSTRATESBiodegradationSIMULTANEOUS DEGRADATIONHOMOGENEOUS MATERIALSAnaerobic digestionWASTE WATER MANAGEMENTActivated sludgeAPPLEDegradation (geology)Waste Management
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Typology of exogenous organic matters based on chemical and biochemical composition to predict potential nitrogen mineralization

2010

Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization during incubation of soil–EOM mixtures in controlled conditions. Multiple factor analysis and hierarchical classification were performed to gather EOMs with similar composition and N mineralization behavior. A typology was then defined using composition criteria to predict potential N mineralization. Six classes of EOM potential N mineralization in soil were defined, from high potential N minerali…

[SDV.BIO]Life Sciences [q-bio]/Biotechnologygenetic structures010501 environmental sciences01 natural sciencesMinéralisationBiochemical compositionOrganic ChemicalsWaste Management and DisposalHigh potentialhttp://aims.fao.org/aos/agrovoc/c_35657chemistry.chemical_classificationMineralsChemistry04 agricultural and veterinary sciencesGeneral MedicineComposition chimiqueClassificationhierarchical classificationDisponibilité d'élément nutritifCycle de l'azoteEnvironmental chemistryhttp://aims.fao.org/aos/agrovoc/c_5193http://aims.fao.org/aos/agrovoc/c_1794AlgorithmsP33 - Chimie et physique du solBiochemical fractionationEnvironmental EngineeringNitrogenhttp://aims.fao.org/aos/agrovoc/c_7170Mineralogybiochemical fractionationBioengineeringhttp://aims.fao.org/aos/agrovoc/c_27938FractionationTeneur en azoten mineralizationMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_5268Fertilité du solMultiple factor analysisOrganic matterComputer SimulationNitrogen cycle0105 earth and related environmental sciencesRenewable Energy Sustainability and the EnvironmentP35 - Fertilité du sol[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyMineralization (soil science)eye diseasesAmendement organiqueModels Chemical040103 agronomy & agriculture0401 agriculture forestry and fisheriessense organsexogenous organic mattertypologyhttp://aims.fao.org/aos/agrovoc/c_12965http://aims.fao.org/aos/agrovoc/c_1653http://aims.fao.org/aos/agrovoc/c_15999F04 - Fertilisation
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A partial review of cure models with an application to French cancer registries data to improve patients' access to insurance and credit

2016

International audience; BackgroundSurvival cure models are widely used in public health researches to analyze time-to-event data in which some subjects would never experience the event of interest; these subjects are said to be statistically cured. There are two types of cure models, the mixture cure modeland the non-mixture cure model which were first formulated respectively by Boag(1949)[1] and Yakovlev et al. (1993) [2]. These models have been intensively developed [3,4 among others] and have also been extended to the net survival framework [5-7 for instance].In cancersurvival analysis,net survival is a measure of survival in the hypothetical world wherecancer would bethe only possible c…

[SDV.CAN] Life Sciences [q-bio]/Cancercancer registriesC ure rate modelscancer[SDV.CAN]Life Sciences [q-bio]/Cancernet survival[ SDV.CAN ] Life Sciences [q-bio]/Cancersurvival analysis
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Modéliser la réponse des espèces marines antarctiques aux changements environnementaux. Méthodes, applications et limites.

2021

Among tools that are used to fill knowledge gaps on natural systems, ecological modelling has been widely applied during the last two decades. Ecological models are simple representations of a complex reality. They allow to highlight environmental drivers of species ecological niche and better understand species responses to environmental changes. However, applying models to Southern Ocean benthic organisms raises several methodological challenges. Species presence datasets are often aggregated in time and space nearby research stations or along main sailing routes. Data are often limited in number to correctly describe species occupied space and physiology. Finally, environmental datasets …

[SDV.EE]Life Sciences [q-bio]/Ecology environmentphysiological modelModélisation écologiqueEspèces marines benthiquesmodel performancePhysiological modelsspecies distribution modellingModèles de distribution d’espècesOcéan Australdispersal model[SDV.EE] Life Sciences [q-bio]/Ecology environmentModèles de dispersion lagrangiensSpecies distribution modelsecological modellingLagrangian dispersal modelsSouthern OceanModèles physiologiquesEcological modellingMarine benthic speciesSciences exactes et naturelles
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Prognosis of resected intrahepatic cholangiocarcinoma

2017

Introduction. Complete resection stands as the only curative option for intrahepatic cholangiocarcinoma (IHCC). Still, prognosis remains poor after resection due to a recurrence rate over 60% leading to actual 5-year survival rates below 20%. Reliable prognostic estimation and better understanding of tumor biology would be of interest for improving IHCC prognosis.Methods. Using clinical and biological data from two large cohort of resected IHCC (MSKCC, n=189 and AFC, n=522), three objectives have been explored. First, assessing the performances of different published prognostic models. Second, defining the reliability of preoperative prognostic estimation using imaging, tumoral genomic prof…

[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologySurvivalPrognostic modelsModèles pronostiquesRésectionGenomic profilingResectionCirculating microRNAGénomiqueCholangiocarcinome intrahépatiqueSurvie[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyIntrahepatic cholangiocarcinomaMicroARN circulant
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Analyze and simulation a dynamic of soil indicators fertility under different agricultural management practices in cotton area of Togo

2011

Using data observed during 20 to 40 years in different agro-ecosystems of Togo, we analyzed soil fertility dynamic under different agricultural management practices. Tree soil C models of varying complexity were tested, and the most accurate in terms of soil C dynamics description in these tropical soils was associated with the QUEFTS model and with nutrient partial balance to analyze the effect of each agricultural management practice. Results indicated that, although fertilizers N, P and K were continuously applied at a recommended rate by the research (RR) or at this rate increased in 50% (1.5RR), initial cotton and cereals yields of 1.5 to 2 t ha˗1 and 2 to 3 t ha˗1, respectively, decre…

[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesTropical soil fertilitySub-Saharan AfricaModel QUEFTSFertilité sols tropicauxResistant CAfrique sub-saharienneSoil C models[ SDU.STU ] Sciences of the Universe [physics]/Earth SciencesModèle QUEFTSCarbone résistantExpérimentations de longue duréeModèles évolution stock CLong-term experiment[SDU.STU] Sciences of the Universe [physics]/Earth SciencesAgricultural management practicesPratiques culturales[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences
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A priori parameterisation of the CERES soil-crop models and tests against several European data sets

2002

Mechanistic soil-crop models have become indispensable tools to investigate the effect of management practices on the productivity or environmental impacts of arable crops. Ideally these models may claim to be universally applicable because they simulate the major processes governing the fate of inputs such as fertiliser nitrogen or pesticides. However, because they deal with complex systems and uncertain phenomena, site-specific calibration is usually a prerequisite to ensure their predictions are realistic. This statement implies that some experimental knowledge on the system to be simulated should be available prior to any modelling attempt, and raises a tremendous limitation to practica…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesMean squared errorCalibration (statistics)Nitrogen en l'agriculturaExtrapolationExtrapolation01 natural sciencesWater balanceStatisticsWater contentWater balanceExtrapolation; Nitrogen dynamics; Soil-crop modelsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hunger[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesObservational errorEcologySoil organic matter04 agricultural and veterinary sciencesBILAN AZOTENitrogen dynamics15. Life on landSoil-crop modelsSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceAgronomy and Crop Scienceconreu
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[div]Long-term dynamics of the atrazine mineralization potential in surface and subsurface soil in an agricultural field as a response to atrazine ap…

2012

Abstract The dynamics of the atrazine mineralization potential in agricultural soil was studied in two soil layers (topsoil and at 35–45 cm depth) in a 3 years field trial to examine the long term response of atrazine mineralizing soil populations to atrazine application and intermittent periods without atrazine and the effect of manure treatment on those processes. In topsoil samples, 14 C-atrazine mineralization lag times decreased after atrazine application and increased with increasing time after atrazine application, suggesting that atrazine application resulted into the proliferation of atrazine mineralizing microbial populations which decayed when atrazine application stopped. Decay …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesEnvironmental EngineeringHealth Toxicology and MutagenesisField experimentsoil management atzN and trzN gene quantification010501 environmental sciences01 natural sciencesbiodegradationSoil managementchemistry.chemical_compoundSoilDissolved organic carbonEnvironmental ChemistrySoil PollutantsAtrazine[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences0105 earth and related environmental sciences2. Zero hungerTopsoilHerbicidesPublic Health Environmental and Occupational HealthAgriculture04 agricultural and veterinary sciencesGeneral MedicineGeneral ChemistryMineralization (soil science)15. Life on landPollutionManureAgronomychemistryModels Chemicalfield experiment040103 agronomy & agriculture0401 agriculture forestry and fisheriesSoil horizonEnvironmental Monitoringatrazine
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Assessment of Adult Mouse Brain Neuroanatomical Phenotypes Using Quantitative and Precision Histology

2022

Modelling human neurodevelopmental disorders is important in biomedical research since the brain cannot be easily accessed in humans. In this chapter, we describe a series of standardized procedures for the reliable analysis of neuroanatomical phenotypes (NAPs) of the adult mouse brain using quantitative 2D histological practices. Our goal is to provide the reader an experimental pipeline, ranging from experimental work through to data analysis, which can be performed in any academic research setting with or without access to a histology platform. Depending on the type of sections studied, parasagittal or coronal, the assessment of brain neuroanatomy is performed at stereotaxic sections, at…

[SDV] Life Sciences [q-bio]Mouse models of neurodevelopmental disordersNeuroanatomical phenotypes (NAPs)Ultra-standardized and high-throughput proceduresMouse brain anatomyQuantitative histological analysis
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Ex ante evaluation of gene flow in oilseed rape with cropping sytem models

2009

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencescropping sytem modelsoilseed rape[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SHS] Humanities and Social Sciencesgene flowComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences
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