Philippe JEAN-PIERRE

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• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2010
• Auteurs : T. d'OrgevalJean-Philippe BoulangerM.J. CapalboE. GuevaraOlga C. PenalbaS. Meira
• Organismes : Centro de Investigaciones del Mar y la Atmósfera Laboratoire de Météorologie Dynamique (UMR 8539) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques Instituto Nacional de Tecnología Agropecuaria, Pergamino, Argentina Instituto Nacional de Tecnología Agropecuaria, Pergamino, Argentina Centro de Investigaciones del Mar y la Atmósfera Instituto Nacional de Tecnología Agropecuaria, Pergamino, Argentina
• Publié dans Climatic Change le 30/10/2020

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Résumé : The present article is a contribution to the CLARIS WorkPackage "Climate and Agriculture", and aims at testing whether it is possible to predict yields and optimal sowing dates using seasonal climate information at three sites (Pergamino, Marcos Juarez and Anguil) which are representative of different climate and soil conditions in Argentina. Considering that we focus on the use of climate information only, and that official long time yield series are not always reliable and often influenced by both climate and technology changes, we decided to build a dataset with yields simulated by the DSSAT (Decision Support System for Agrotechnology Transfer) crop model, already calibrated in the selected three sites and for the two crops of interest (maize and soybean). We simulated yields for three different sowing dates for each crop in each of the three sites. Also considering that seasonal forecasts have a higher skill when using the 3-month average precipitation and temperature forecasts, and that regional climate change scenarios present less uncertainty at similar temporal scales, we decided to focus our analysis on the use of quarterly precipitation and temperature averages, measured at the three sites during the crop cycle. This type of information is used as input (predictand) for non-linear statistical methods (Multivariate Adaptive Regression Splines, MARS; and classification trees) in order to predict yields and their dependency to the chosen sowing date. MARS models show that the most valuable information to predict yield amplitude is the 3-month average precipitation around flowering. Classification trees are used to estimate whether climate information can be used to infer an optimal sowing date in order to optimize yields. In order to simplify the problem, we set a default sowing date (the most representative for the crop and the site) and compare the yield amplitudes between such a default date and possible alternative dates sometimes used by farmers. Above normal average temperatures at the beginning and the end of the crop cycle lead to respectively later and earlier optimal sowing. Using this classification, yields can be potentially improved by changing sowing date for maize but it is more limited for soybean. More generally, the sites and crops which have more variable yields are also the ones for which the proposed methodology is the most efficient. However, a full evaluation of the accuracy of seasonal forecasts should be the next step before confirming the reliability of this methodology under real conditions. © Springer Science + Business Media B.V. 2009.

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• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2010
• Auteurs : Chuixiang YiDaniel RicciutoRunze LiJohn WolbeckXiyan ZuMats NilssonLuis AiresJohn D. AlbertsonChristof AmmannAltaf ArainAlessandro de AraujoMarc AubinetMika AurelaZoltan BarczaAlan BarrPaul BerbigierJason BeringerChristian BernhoferAndrew BlackPaul BolstadFred BosveldMark BroadmeadowNina BuchmannSean BurnsPierre CellierJingming ChenJiquan ChenPhilippe CiaisRobert ClementBruce CookPeter CurtisBryan DailEbba DellwikNicolas DelpierreAnkur DesaiSabina DoreDanilo DragoniBert DrakeEric DufrêneAllison DunnJan ElbersWerner EugsterMatthias FalkChristian FeigenwinterLawrence FlanaganThomas FokenJohn FrankJuerg FuhrerDamiano GianelleAllen GoldsteinMike GouldenAndré GranierThomas GrünwaldLianhong GuHaiqiang HuoAlbin HammerleShijie HanNiall HananLászló HaszpraBernard HeineschCarole HelfterDimmie HendriksLindsay HutleyAndreas IbromCor JacobsTorbjörn JohanssonMarjan JongenGabriel KatulGerard KielyKatja KlumppAlexander KnohlThomas KolbWerner KutschPeter LafleurTuomas LaurilaRay LeuningAnders LindrothHeping LiuBenjamin LoubetGiovanni MancaMichal MarekHank MargolisTimothy MartinWilliam MassmanRoser MatamalaGiorgio MatteucciHarry MccaugheyLutz MerboldTilden MeyersMirco MigliavaccaFranco MigliettaLaurent MissonMeelis MölderJohn MoncrieffRussell K. MonsonLeonardo MontagnaniMario Montes-HeluEddy MoorsChristine MoureauxMukufute M. MukelabaiJ. William MungerMay MyklebustZoltán NagyAsko NoormetsWalter OechelRam OrenStephen G. PallardyKiaw Tha Paw UJoão S PereiraKim PilegaardKrisztina PintérCasimiro PioGabriel PitaThomas L. PowellSerge RambalJames T. RandersonCelso von RandowCorinna RebmannJanne RinneFederica RossiNigel RouletRonald J. RyelJorgen SagerforsNobuko SaigusaMaria José SanzGiuseppe-Scarascia MugnozzaHans Peter SchmidGuenther SeufertMario SiqueiraJean-François SoussanaGregory StarrMark A. SuttonJohn TenhunenZoltan TubaJuha-Pekka TuovinenRiccardo ValentiniChristoph S. VogelJingxin WangShaoqiang WangWeiguo WangLisa R. WelpXuefa WenSonia WhartonMatthew WilkinsonChristopher A. WilliamsGeorg WohlfartSusumu YamamotoGuiri YuRoberto ZampedriBin ZhaoXinquan Zhao
• Organismes : School of Earth and Environmental Sciences, Queens College Environmental Sciences Division [Oak Ridge] Department of Statistics School of Earth and Environmental Sciences, Queens College School of Earth and Environmental Sciences, Queens College Department of Forest Ecology and Management Centro de Estudos do Ambiente e do Mar = Centre for Environmental and Marine Studies [Aveiro] Department of Civil and Environmental Engineering Agroscope School of Geography and Earth Sciences [Hamilton ON] Instituto Nacional de Pesquisas da Amazônia = National Institute of Amazonian Research Gembloux Agro-Bio Tech, Unit of Biosystem Physics Climate and Global Change Research [Helsinki] Department of Meteorology [Budapest] Environment and Climate Change Canada Écologie fonctionnelle et physique de l'environnement School of Geography and Environmental Science Institute of Hydrology and Meteorology [Dresden] Land and Food Systems University of Minnesota [Twin Cities] Royal Netherlands Meteorological Institute Forest Research Institute of Plant Science National Center for Atmospheric Research [Boulder] Environnement et Grandes Cultures Department of Geography Department of Environmental Sciences [Toledo USA] Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ICOS-ATC School of Geosciences [Edinburgh] Biospheric Sciences Laboratory Department of Evolution, Ecology, and Organismal Biology Department of Plant, Soil, and Environmental Science Wind Energy Division [Roskilde] Commissariat à l'énergie atomique et aux énergies alternatives Department of Atmospheric and Oceanic Sciences [Madison] School of Forestry [Flagstaff] Atmospheric Science Program, Department of Geography Smithsonian Environmental Research Center Ecologie Systématique et Evolution Department of Physical and Earth Science Wageningen University and Research [Wageningen] Institute of Plant Science Department of Land, Air and Water Resources Institute for Meteorology, Climatology and Remote Sensing [Basel] Department of Biological Sciences Micrometeorology Group [Bayreuth] Rocky Mountain Research Station Agroscope Environment and Natural Resources Area Department of Environmental Science, Policy, and Management [Berkeley] Department of Earth System Science [Irvine] Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] Institute of Hydrology and Meteorology [Dresden] Environmental Sciences Division [Oak Ridge] Key Laboratory for Biodiversity Science and Ecological Engineering [Shanghai] Institute of Ecology Institute of Applied Ecology Natural Resource Ecology Laboratory [Fort Collins] Hungarian Meteorological Service Gembloux Agro-Bio Tech, Unit of Biosystem Physics Centre for Ecology and Hydrology Department of Hydrology and Geo-Environmental Sciences [Amsterdam] School of Environmental and Life Sciences Biosystems Division [Roskilde] Earth System Science and Climate Change Group Geobiosphere Science Centre, Physical Geography and Ecosystems Analysis Instituto Superior de Agronomia [Lisboa] School of the Environment Civil and Environmental Engineering Department Unité de recherche sur l'Ecosystème Prairial Institute of Plant Science School of Forestry [Flagstaff] Institut für Agrarrelevante Klimaforschung Department of Geography Finnish Meteorological Institute CSIRO Marine and Atmospheric Research Geobiosphere Science Centre, Physical Geography and Ecosystems Analysis Department of Physics, Atmospheric Sciences and Geoscience [Jackson] Environnement et Grandes Cultures Institute of Atmospheric Pollution Research Division of Ecosystems Processes Lab. of Plants Ecological Physiology Centre d'études de la forêt Faculté de Foresterie et de Géomatique University of Florida [Gainesville] Rocky Mountain Research Station Biosciences Division National Research Council of Italy | Consiglio Nazionale delle Ricerche Department of Geography Max Planck Institute for Biogeochemistry ARL Atmospheric Turbulence and Diffusion Division Remote Sensing of Environmental Dynamics Laboratory, DISAT Instituto di Biometeorologia Centre d’Ecologie Fonctionnelle et Evolutive Geobiosphere Science Centre, Physical Geography and Ecosystems Analysis School of Geosciences [Edinburgh] Department of Ecology and Evolutionary Biology Servizi Forestali, Agenzia per l'Ambiente Faculty of Sciences and Technologies School of Forestry [Flagstaff] Wageningen University and Research [Wageningen] Gembloux Agro-Bio Tech, Unit of Biosystem Physics Gembloux Agro-Bio Tech, Unit of Crops Management Zambia Meteorological Department Department of Earth and Planetary Sciences [Cambridge, USA] CSIRO Marine and Atmospheric Research Institute of Botany and Ecophysiology Department of Forestry and Environmental Resources Department of Biology [San Diego State Univ] Nicholas School of the Environment and Earth Sciences Department of Forestry Atmospheric Science Group, LAWR Instituto Superior de Agronomia [Lisboa] Biosystems Division [Roskilde] Institute of Botany and Ecophysiology Centro de Estudos do Ambiente e do Mar = Centre for Environmental and Marine Studies [Aveiro] Mechanical Engineering Department The Department of Organismic and Evolutionary Biology Centre d’Ecologie Fonctionnelle et Evolutive Department of Earth System Science [Irvine] Earth System Science Center Department of Geography Department of Physics Instituto di Biometeorologia Department of Geography [Montréal] Department of Wildland Resources Department of Forest Ecology and Management Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research Centro de Estudios Ambientales del Mediterraneo Department of Agronomy, Forestry and Land Use Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung JRC Institute for Environment and Sustainability Nicholas School of the Environment and Earth Sciences Collège de Direction Department of Biological Sciences Centre for Ecology & Hydrology - Bush Estate Department of Plant Ecology Institute of Botany and Ecophysiology Climate and Global Change Research [Helsinki] Department of Forest Environment and Resources Biological Station chine Institute of Geographic Sciences and Natural Resource Research IMSG@National Center for Environmental Predictions Geosciences Research Division, Scripps Institution of Oceanography Institute of Geographic Sciences and Natural Resource Research Atmospheric, Earth and Energy Division Forest Research Graduate Degree Program in Geography Institute of Ecology Okayama University Institute of Geographic Sciences and Natural Resource Research Environment and Natural Resources Area Key Laboratory for Biodiversity Science and Ecological Engineering [Shanghai] Northwest Plateau Institute of Biology
• Publié dans Environmental Research Letters le 28/10/2020

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Résumé : Understanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate–carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2 exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ~ 16 °C (a threshold value of mean annual temperature), above which no further increase of CO2 uptake with temperature was observed and dryness influence overrules temperature influence.

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Fichiers liés : 2010_Yi_Envrionmental Research Letters_1.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2010
• Auteurs : Naima G Cortes-PerezCatherine SapinLoïc JaffreloSabine DaouJean Pierre GrillPhilippe LangellaPhilippe SeksikLaurent BeaugerieSerge ChwetzoffGermain Trugnan
• Organismes : Université Pierre et Marie Curie - Paris 6 CHU Saint-Antoine [AP-HP] Université Pierre et Marie Curie - Paris 6 CHU Saint-Antoine [AP-HP] Université Pierre et Marie Curie - Paris 6 Université Pierre et Marie Curie - Paris 6 Trafic Membranaire et Signalisation Dans les Cellules Epitheliales
• Publié dans Journal of Biomedicine and Biotechnology le 24/10/2020

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Résumé : The delivery of bioactive molecules directly to damaged tissues represents a technological challenge. We propose here a new system based on virus-like particles (VLP) from rotavirus, with a marked tropism for the gut to deliver bio-active molecules to intestinal cells. For this, nonreplicative VLP nanoparticles were constructed using a baculovirus expression system and used to deliver an exogenous biomolecule, the green fluorescent protein (GFP), into either MA104 cells or intestinal cells from healthy and 2,4,6-trinitrobenzene sulfonic acid (TNBS)-treated mice. Our results show that expression of rotavirus capsid proteins in baculovirus led to the auto assembly of VLP that display similar properties to rotavirus. In vitro experiments showed that VLP were able to enter into MA104 cells and deliver the reporter protein. Intragastric administration of fluorescent VLP in healthy and TNBS-treated mice resulted in the detection of GFP and viral proteins in intestinal samples. Our results demonstrate an efficient entry of non-replicative rotavirus VLP into the epithelial cell line MA104 and provide the first in vivo evidence of the potential of these nanoparticles as a promising safe candidate for drug delivery to intestinal cells.

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Fichiers liés : 317545_1.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2010
• Auteurs : Philippe AndreyKien KiêuClémence KressGaetan LehmannLeila TirichineZichuan LiuEric BiotPierre AdenotCatherine Hue-BeauvaisNicole Houba-HérinVéronique DuranthonEve DevinoyNathalie BeaujeanValérie GaudinYves MaurinMarie Pascale Debey
• Organismes : Neurobiologie de l'Olfaction et Modélisation en Imagerie Institut Fédératif de Recherche 144 (NeuroSud Paris) Université Pierre et Marie Curie - Paris 6 Unité de recherche Mathématiques et Informatique Appliquées Unité de recherche génomique et physiologie de la lactation Biologie du développement et reproduction Institut Jean-Pierre Bourgin Biologie du développement et reproduction Neurobiologie de l'Olfaction et Modélisation en Imagerie Institut Fédératif de Recherche 144 (NeuroSud Paris) Institut Jean-Pierre Bourgin Biologie du développement et reproduction Unité de recherche génomique et physiologie de la lactation Institut Jean-Pierre Bourgin Biologie du développement et reproduction Unité de recherche génomique et physiologie de la lactation Biologie du développement et reproduction Institut Jean-Pierre Bourgin Neurobiologie de l'Olfaction et Modélisation en Imagerie Institut Fédératif de Recherche 144 (NeuroSud Paris) Biologie du développement et reproduction
• Publié dans PLoS Computational Biology le 27/10/2020

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Résumé : In eukaryotes, the interphase nucleus is organized in morphologically and/or functionally distinct nuclear ‘compartments’’. Numerous studies highlight functional relationships between the spatial organization of the nucleus and gene regulation. This raises the question of whether nuclear organization principles exist and, if so, whether they are identical in the animal and plant kingdoms. We addressed this issue through the investigation of the three-dimensional distribution of the centromeres and chromocenters. We investigated five very diverse populations of interphase nuclei at different differentiation stages in their physiological environment, belonging to rabbit embryos at the 8-cell and blastocyst stages, differentiated rabbit mammary epithelial cells during lactation, and differentiated cells of Arabidopsis thaliana plantlets. We developed new tools based on the processing of confocal images and a new statistical approach based on G- and Fdistance functions used in spatial statistics. Our original computational scheme takes into account both size and shape variability by comparing, for each nucleus, the observed distribution against a reference distribution estimated by Monte- Carlo sampling over the same nucleus. This implicit normalization allowed similar data processing and extraction of rules in the five differentiated nuclei populations of the three studied biological systems, despite differences in chromosome number, genome organization and heterochromatin content. We showed that centromeres/chromocenters form significantly more regularly spaced patterns than expected under a completely random situation, suggesting that repulsive constraints or spatial inhomogeneities underlay the spatial organization of heterochromatic compartments. The proposed technique should be useful for identifying further spatial features in a wide range of cell types.

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Fichiers liés : 2010_Andrey_pcbi_1.pdf

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• Type de publi. : Ouvrage (y compris édition critique et traduction)
• Date de publi. : 01/01/2010
• Auteurs : Annick RichardPhilippe BarralAlain DaubigneyGilbert KaenelClaude MordantJean-François Piningre
• Organismes : Laboratoire Chrono-environnement (UMR 6249) Laboratoire Chrono-environnement (UMR 6249) Laboratoire Chrono-environnement (UMR 6249) Archéologies, Cultures et Sociétés Archéologies, Cultures et Sociétés

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• Type de publi. : Chapître d'ouvrage
• Date de publi. : 01/01/2010
• Auteurs : Philippe Martin
• Organismes : Religions et croyances

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• Type de publi. : Autre publication
• Date de publi. : 01/01/2010
• Auteurs : Philippe Moulis
• Organismes : Religions et croyances LAboratoire de Recherche Historique Rhône-Alpes - UMR5190
• Publié dans Publications électroniques de Port-Royal le 26/03/2025

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Résumé : Le 1er mars 1717 les évêques de Boulogne-sur-Mer, de Mirepoix, de Montpellier et de Senez déposèrent en Sorbonne un appel de la bulle Unigenitus au concile général. Ce premier appel entraîna une majorité du clergé parisien et des ecclésiastiques de 36 diocèses. Au total, 16 prélats, puis 6500 à 7000 ecclésiastiques, entre 1717 et 1728, furent les appelants de la bulle. À partir de l'ouvrage de Gabriel-Nicolas Nivelle, nous avons dénombré, pour les années 1717 et 1718, 140 actes d'appels émanant du diocèse de Boulogne-sur-Mer : 12 chanoines du chapitre cathédral de Boulogne, un vicaire général, 9 vicaires, 22 ecclésiastiques séculiers, 1 carmes, 17 oratoriens de la maison de Boulogne et 12 bénédictins de l’abbaye de Samer et surtout 66 curés. Ce qui signifie que 23,65 % des curés de ce diocèse adhérèrent à cette Appel. Cette singularité provinciale est-elle l’oeuvre du prélat boulonnais ou bien a-t-elle des origines antérieures ? Dans un premier temps, nous tenterons de comprendre ce mouvement en étudiant la carrière et le réseau des partisans de Port-Royal demeurant dans l’évêché boulonnais au XVIIe siècle ; puis nous aborderons l’épiscopat janséniste de Pierre de Langle, évêque de Boulogne-sur-Mer de 1698 à 1724 en attachant un intérêt particulier aux ecclésiastiques à charge d’âmes, c’est-à-dire aux curés ; et enfin nous examinerons la répression du jansénisme à partir de 1725.

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Fichiers liés : Le_courant_janséniste.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2010
• Auteurs : Philippe Rygiel
• Organismes : LAboratoire de Recherche Historique Rhône-Alpes - UMR5190 Savoirs
• Publié dans Memoria e Ricerca, Rivista di storia contemporanea le 21/10/2020

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Résumé : reti-sapere-territorio, ENS Chiunque abbia dovuto spiegare agli studenti che cosa fosse l'inchiesta storica, o tentato di fornire loro qualche regola per permettergli di svolgere in modo corretto i loro lavori, sa che il compito è difficile e che non è disponibile nessuna descrizione semplificativa. Sperando di riuscirci, e questo è forse un riflesso da storico, siamo tentati di rivolgerci verso coloro che sono presi per i fondatori, un po' mitizzati, della disciplina, i Greci, e i loro continuatori romani che praticano una historia il cui nome rimanda direttamente a quello di inchiesta. Sfortunatamente, Erodoto o Tucidide non ci hanno lasciato nessun trattato nel quale spiegano il modo in cui deve procedere colui che vuole tentare una simile impresa. Dobbiamo dunque ripiegare su un continuatore romano, Luciano di Samosata, sul quale dei buoni testi 3 ci dicono che sia l'autore dell'unico manuale storiografico che l'antichità ci abbia lasciato. Il suo testo 4 , scritto intorno al 165, si adatta proprio al nostro caso. Prima di presentarci la figura dello storico ideale, di descriverci il modus operandi che egli deve seguire e di fornirci dei consigli per la redazione dell'opera tenendo presente il suo percorso, elenca per prima cosa tutto quello che uno storico non deve fare. Leggendolo ci immaginiamo un canuto universitario che inveisce contro i dilettanti o contro tutti quelli che pensano che si possa scrivere la storia senza preoccuparsi di apprendere le regole del mestiere: " Eppure la maggioranza di noi crede di non avere più bisogno di consigli per la loro impresa di quanti non ne servano per camminare, vedere o mangiare. Pensano che scrivere la storia sia una cosa semplicissima, alla portata di tutti quelli che riescono ad esprimere chiaramente tutto quello che viene loro in mente 5 ".

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Fichiers liés : TraduzioneRygielprHal.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2010
• Auteurs : Gaëlle ClainJean-Luc BarayRobert DelmasPhilippe KeckhutJ.-P. Cammas
• Organismes : Laboratoire de l'Atmosphère et des Cyclones Laboratoire de l'Atmosphère et des Cyclones Laboratoire de l'Atmosphère et des Cyclones STRATO - LATMOS Laboratoire d'aérologie
• Publié dans Atmospheric Environment le 23/10/2020

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Résumé : Sixteen years of ozone measurements (1992-2006) at Reunion Island (21°S, 55.5°E) have been processed to detect stratospheric signatures on each single ozone profile. The characterisation method consists in the advection of the potential vorticity (PV) over two to ten days of backtrajectory with the lagrangian trajectory code LACYTRAJ. LACYTRAJ is a Trajectory-Reverse Domain Filling code using the ERA40 ECMWF database and allowing the reconstruction of high resolution advected PV profiles. Correlation between high values of ozone mixing ratio and high PV is interpreted as a stratospheric signature. A climatology of STE events at Reunion has been derived and reveals that STE events occur more frequently during spring (SON) and summer (DJF). The method is tested for a set of PV threshold values (i.e. 1 PVU, 1.5 PVU and 2 PVU) and for a set of duration of backtrajectories (i.e. 2 days, 5 days and 10 days). The number of detected STE is sensitive to PV threshold values and duration criterions. For instance, the number of stratospheric intrusions detected in October with a 1.5 PVU criterion ranges between 25% (2 days of backtrajectories) and 56% (10 days of backtrajectories). The vertical distributions of STE show intrusions covering the whole free troposphere (between 7 and 15 km) and mainly located in the upper troposphere. Finally, results show that an important number of stratospheric intrusions are detected during spring and in the upper troposphere what points at the contribution of the stratospheric source to the tropospheric ozone spring maximum which is strongly influenced by the biomass burning emissions from South Africa and Madagascar.

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• Type de publi. : Chapître d'ouvrage
• Date de publi. : 01/01/2010
• Auteurs : Jean-Philippe BabauPhilippe DhaussyPierre-Yves Pillain
• Organismes : Lab-STICC_UBO_CACS_MOCS Laboratoire d'Informatique des Systèmes Complexes Département STIC [Brest] Département STIC [Brest]

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Résumé : The paper proposes to integrate design and formal modelling approaches, based on MARTE, IF and CDL, to evaluate different possible uses and configurations of a data acquisition software component. The uses are related to actor's (sensor and application) behaviour and configurations are related to implementation parameterization. Evaluation considers safety and performance properties, delay evaluation, and are automatically evaluated by OBP tool. The work is illustrated via an example to show the impact of parameters and contextual use on software acquisition driver performances. Using this tool, it is possible to tune the driver's parameters to get the required performances, in term of delays, for a certain context use. The approach is applied to sensor monitoring applications.

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