Search results for " Computer science"

showing 10 items of 3983 documents

DEXi Fusariose de l’ail : Prototype d’outil d’évaluation multicritère en vue de la maitrise du risque de développement de la fusariose de l’ail (Fusa…

2022

[SDE] Environmental Sciencessystèmes de cultureFusariose de l'ailOutil d'aide à la décisioncontexte pédoclimatique[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulationleviers agronomiques[SDV.BV.PEP] Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy
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Olfaction : de la biologie au nez électronique

2014

Olfaction : de la biologie au nez électronique

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ INFO.INFO-IA ] Computer Science [cs]/Computer Aided Engineering[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionAlimentation et Nutritionnez électroniqueFood and Nutritionodorant-binding protein[INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineeringbiocapteur[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineeringolfaction;odorant-binding protein;biocapteur;nez électroniqueolfaction
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Decoding sweet taste from chemical structures

2019

International audience

[SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry[CHIM] Chemical Sciences[CHIM.CHEM] Chemical Sciences/Cheminformatics[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biology[CHIM]Chemical Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]ComputingMilieux_MISCELLANEOUS[CHIM.CHEM]Chemical Sciences/Cheminformatics[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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L'annuaire des Centres de Ressources Biologiques français

2011

International audience

[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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The I3-CRB project and the French biological ressources centers

2010

International audience

[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Rapid odorant release in mammalian odour binding proteins facilitates their temporal coupling to odorant signals.

2010

 ; We have measured the effect of rat odorant-binding protein 1 on the rates of ligand uptake and liquid-to-air transfer rates with a set of defined odorous compounds. Comparison of observed rate constants (k(obs)) with data simulated over a wide range of different kinetic and thermodynamic regimes shows that the data do not agree with the previously held view of a slow off-rate regime (k(off) <0.0004 s(-1)). We propose that a rapid koff would be a necessary requirement for such a system, since slow odorant-release rates would result in significant decorrelation between the olfactory world and odour perception. (c) 2010 Elsevier Ltd. All rights reserved.

[SDV.BIO]Life Sciences [q-bio]/BiotechnologyKineticsAnalytical chemistryOlfactionAcetatesCalorimetryIn Vitro Techniques[ SDV.BA ] Life Sciences [q-bio]/Animal biologyLigandsReceptors OdorantDNA-binding proteinMass Spectrometry03 medical and health sciences0302 clinical medicineReaction rate constantStructural BiologyODORANT-BINDING PROTEINSAnimals[INFO.INFO-BT]Computer Science [cs]/BiotechnologyMolecular Biology030304 developmental biology0303 health sciencesChemistryTemporal couplingLigand[SDV.BA]Life Sciences [q-bio]/Animal biology[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyRecombinant ProteinsRatsSmellKineticsOdorantsBiophysicsOLFACTIONThermodynamics[ INFO.INFO-BT ] Computer Science [cs]/Biotechnology030217 neurology & neurosurgerypsychological phenomena and processesSignal TransductionJournal of molecular biology
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How optical density measurements on artificially reconstituted soil ecosystems show the validity of the competitive exclusion principle

2010

aeres : C-COM; International audience

[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.EE] Life Sciences [q-bio]/Ecology environment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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The growth of soil bacteria revisited

2010

aeres : C-COM; International audience

[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.EE] Life Sciences [q-bio]/Ecology environment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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Reversible inhibition excluses the coexistence at continuous culture

2010

We consider a simple chemostat model involving two species feeding on limiting substrate with reversible inhibition. Systems of differential equations are proposed as models of this association. A detailed qualitative analysis is carried out.We proved, under general and naturel assumptions of monotony on the response functions that the persistence of the two species is impossible.

[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.EE] Life Sciences [q-bio]/Ecology environment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesComputingMilieux_MISCELLANEOUS
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Modélisation de paysages agricoles pour la simulation et l'analyse de processus

2017

L’objet de ce colloque est de partager des connaissances, expériences et outils autour de la modélisation des paysages agricoles, de leur structure et de leur dynamique en considérant la modélisation de la structure physique du paysage agricole et celle des processus socio-techniques qui gouvernent les usages des éléments le constituant (parcelles, fossés, etc.). Par ailleurs, les paysages agricoles sont le support de processus biotiques et abiotiques spatialisés. Les processus biotiques incluent par exemple les dynamiques d’organismes d’importance en agriculture – ravageurs et auxiliaires – ou contribuant à la biodiversité patrimoniale ou ordinaire. Les processus abiotiques incluent par ex…

[SDV.EE]Life Sciences [q-bio]/Ecology environment[STAT.AP]Statistics [stat]/Applications [stat.AP]partage de connaissance[SDV]Life Sciences [q-bio]outildynamique de paysagemodèle[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[SDE.ES]Environmental Sciences/Environmental and Societyvariable spatiale[SHS]Humanities and Social Sciences[SDE.BE] Environmental Sciences/Biodiversity and Ecology[SDV.EE] Life Sciences [q-bio]/Ecology environment[STAT.AP] Statistics [stat]/Applications [stat.AP][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[INFO]Computer Science [cs][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[SDE.ES] Environmental Sciences/Environmental and Society[MATH]Mathematics [math][SDE.BE]Environmental Sciences/Biodiversity and Ecologyprocessus socio-techniquepaysage agricolemodélisation
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