Philippe JEAN-PIERRE

---

• Type de publi. : Article dans une revue
• Date de publi. : 01/09/2024
• Auteurs : Jean-Baptiste RomagnanThelma PanaïotisPaul BourriauMarie-Madeleine DanielouMathieu DorayChristine DupuyBertrand ForestNina GrandremyMartin HuretSophie Le MestreAntoine NowaczykPierre PetitgasPhilippe PineauJustin RouxelMorgan TardivelJean-Olivier Irisson
• Organismes : Dynamique et durabilité des écosystèmes : de la source à l’océan Ecole Normale Supérieure Paris-Saclay Dynamique et durabilité des écosystèmes : de la source à l’océan Unité Dynamiques des Écosystèmes Côtiers Dynamique et durabilité des écosystèmes : de la source à l’océan LIttoral ENvironnement et Sociétés Unité Recherches et Développements Technologiques Dynamique et durabilité des écosystèmes : de la source à l’océan Dynamique et durabilité des écosystèmes : de la source à l’océan Dynamique et durabilité des écosystèmes : de la source à l’océan Environnements et Paléoenvironnements OCéaniques Institut Français de Recherche pour l'Exploitation de la Mer LIttoral ENvironnement et Sociétés Unité Recherches et Développements Technologiques Institut Français de Recherche pour l'Exploitation de la Mer Unité Recherches et Développements Technologiques Laboratoire d'océanographie de Villefranche
• Publié dans SEANOE = Sea scientific open data publication le 17/10/2018

---

Résumé : Plankton was sampled with a Continuous Underway Fish Egg Sampler (CUFES, 315µm mesh size) at 4 m below the surface, and a WP2 net (200µm mesh size) from 100m to the surface, or 5 m above the sea floor to the surface when the depth was < 100 m, in the Bay of Biscay. The full images were processed with the ZooCAM software and the embedded Matrox Imaging Library (Colas et a., 2018) which generated regions of interest (ROIs) around each individual object and a set of features measured on the object. The same objects were re-processed to compute features with the scikit-image library http://scikit-image.org. The 1, 286, 590 resulting objects were sorted by a limited number of operators, following a common taxonomic guide, into 93 taxa, using the web application EcoTaxa http://ecotaxa.obs-vlfr.fr. For the purpose of training machine learning classifiers, the images in each class were split into training, validation, and test sets, with proportions 70%, 15% and 15%. The archive contains : taxa.csv.gz Table of the classification of each object in the dataset, with columns : objid : unique object identifier in EcoTaxa (integer number). taxon_level1 : taxonomic name corresponding to the level 1 classification lineage_level1 : taxonomic lineage corresponding to the level 1 classification taxon_level2 : name of the taxon corresponding to the level 2 classification plankton : if the object is a plankton or not (boolean) set : class of the image corresponding to the taxon (train : training, val : validation, or test) img_path : local path of the image corresponding to the taxon (of level 1), named according to the object id features_native.csv.gz Table of morphological features computed by ZooCAM. All features are computed on the object only, not the background. All area/length measures are in pixels. All grey levels are in encoded in 8 bits (0=black, 255=white). With columns : area : object's surface area_exc : object surface excluding white pixels area_based_diameter : object's Area Based Diameter: 2 * (object_area/pi)^(1/2) meangreyobjet : mean image grey level modegreyobjet : modal object grey level sigmagrey : object grey level standard deviation mingrey : minimum object grey level maxgrey : maximum object grey level sumgrey : object grey level integrated density: object_mean*object_area breadth : breadth of the object along the best fitting ellipsoid minor axis length : breadth of the object along the best fitting ellipsoid majorr axis elongation : elongation index: object_length/object_breadth perim : object's perimeter minferetdiam : minimum object's feret diameter maxferetdiam : maximum object's feret diameter meanferetdiam : average object's feret diameter feretelongation : elongation index: object_maxferetdiam/object_minferetdiam compactness : Isoperimetric quotient: the ration of the object's area to the area of a circle having the same perimeter intercept0, intercept45 , intercept90, intercept135 : the number of times that a transition from background to foreground occurs a the angle 0ø, 45ø, 90ø and 135ø for the entire object convexhullarea : area of the convex hull of the object convexhullfillratio : ratio object_area/convexhullarea convexperimeter : perimeter of the convex hull of the object n_number_of_runs : number of horizontal strings of consecutive foreground pixels in the object n_chained_pixels : number of chained pixels in the object n_convex_hull_points : number of summits of the object's convex hull polygon n_number_of_holes : number of holes (as closed white pixel area) in the object roughness : measure of small scale variations of amplitude in the object's grey levels rectangularity : ratio of the object's area over its best bounding rectangle's area skewness : skewness of the object's grey level distribution kurtosis : kurtosis of the object's grey level distribution fractal_box : fractal dimension of the object's perimeter hist25, hist50, hist75 : grey level value at quantile 0.25, 0.5 and 0.75 of the object's grey levels normalized cumulative histogram valhist25, valhist50, valhist75 : sum of grey levels at quantile 0.25, 0.5 and 0.75 of the object's grey levels normalized cumulative histogram nobj25, nobj50, nobj75 : number of objects after thresholding at the object_valhist25, object_valhist50 and object_valhist75 grey level symetrieh :index of horizontal symmetry symetriev : index of vertical symmetry skelarea : area of the object skeleton thick_r : maximum object's thickness/mean object's thickness cdist : distance between the mass and the grey level object's centroids features_skimage.csv.gz Table of morphological features recomputed with skimage.measure.regionprops on the ROIs produced by ZooCAM. See http://scikit-image.org/docs/dev/api/skimage.measure.html#skimage.measure.regionprops for documentation. inventory.tsv Tree view of the taxonomy and number of images in each taxon, displayed as text. With columns : lineage_level1 : taxonomic lineage corresponding to the level 1 classification taxon_level1 : name of the taxon corresponding to the level 1 classification n : number of objects in each taxon group map.png Map of the sampling locations, to give an idea of the diversity sampled in this dataset. imgs Directory containing images of each object, named according to the object id objid and sorted in subdirectories according to their taxon.

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 30/08/2024
• Auteurs : Julien PelletPierre GératEmilie PétéAntoine RelaveGuillaume MartinentJean-Philippe HeuzéMickaël Campo
• Organismes : Sport et Environnement Social
• Publié dans Revista iberoamericana de psicología del ejercicio y el deporte le 13/01/2025

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 30/08/2024
• Auteurs : Matthieu LegrandJérémy FalconeBernard CholleyHélène CharbonneauAmélie DelaporteAdrien LemoineMatthias GarotAlexandre JoostenClaude MeistelmanDelphine Cheron-LeroyJean-Philippe RivesBruno PasteneAntoine DewitteStéphanie SigautMarc Danguy Des DesertsCyrille TrucMatthieu BoissonSigismond LasockiPhilippe CuvillonUgo SchiffSamir JaberMorgan Le GuenAnaïs CaillardStéphane BarEdmundo Pereira de Souza NetoVincent ColasFlorin DimacheThibaut GirardotElsa JozefowiczSimon ViquesnelFrancis BerthierEric VicautEtienne GayatSimon MonziolsMylene DefayeThibault CamusJean-Jacques RobinAlexandre OuattaraIoana FetitaOlivier Joannes-BoyauEline BonnardelRémi BouquerelAntoine StrzeleckiThibaut FayonChristophe PelletierBenjamin Le GaillardThibaut GirardotGéraud AmoussouMaalik El BouyousfiBruno GanasciaCalliope ButrulleSoizic GergaudPierre HabrialSolène PessiotEmmanuel SamsonCaroline WolffNevena StankovaFarida AouatiJuliette KavafyanVlad SuparschiDan LongroisJulie Le RoyBenoit RossignolOlivier HuetChristophe BoissonPierre Olivier BonninMohamed DhaouadiGhislaine GardesMikael PerinSophie BrunetYann GricourtMarc-Olivier FischerStéphane DebrocziLucie RetournayPierre StrubPatrice VivinRachel DupaysT KerforneGabriel VianetVirginie ManzanoEric NollPierre-Olivier LudesThiên-Nga Chamaraux-TranCédric CireneiDjihad HamrounBenoit LebasGrégoire Andrieu AndrieuVincent EtienneRaphaël CinottiNatacha SimonDenis FrascaHélène BeloeilAmandine Le GallPetyo TechevLudovic MeuretJérémie JoffreHervé DupontBeny CharbitArthur DavyDavid LoboJean-Michel DevysBenjamin SoriaClémentine CholetCyrus MotamedAnne WynieckiValérie BillardMigena DemiriClement MilletSamuel DegoulChristophe CanevetCéline MounierFlavie DesrumauxJulia MartinezClaire TexierBenoit VoisinGuillaume DubreuilJacques de MontblancClaire MengelleLaura RuscioEmmanuel FutierJulie FayonBenoit BaiettoMarie VignaudYoann MunierBertille PaquetteDiana SaptefratZakia MachroubJean-Sébastien AubertGeorges Abi AbdallahNicolas PolgeNajla DachraouiAnne GodierDiane ZlotnikHélène NougueDarless ClausseSabrina MaSherifatou Salami-AdjavonPatrick RossignolFrancis BerthierRomain BarthélémyGabriel VianetDamien LogeartPeggy ReinerKarine PautratAlex HongMarine CoroirClaire MayeurJacques ThesFlorent LaverdureSofiane SeriVioleta BercanCristian Radu IonescuCaroline Gonnet PintonMarc LeoneNathalie LesavreJeanne ChatelonMarion PoirierAdrien RivoryStéphanie RoulletSean CoeckelenberghLeila ToubalJoanna RamadanKarine Nouette-GaulainBruno RalecChloé ThillChristophe GiacardiEtienne MontelescautPhilippe AriesBenoît TavernierJulie BelletRomain DelassusHélène TribouillardDaniel VerzilliAlice MillotAudrey de JongMarie GeniezVirginie MarreMichaëla PenneYvan PouzeratteGuillaume RaoMaxime CoutrotAlice BletBenoit PlaudEmmanuel BastoMathilde PonsinMarie-Christine BecqMaïté ChaussardAristide NtaheFrançois DépretLucie GuillemetArnaud ValentLyse FloresJulien BureySarah FerayYoann ElmalehSophie DupeyratThomas BauryClémentine TaconetThomas RimmeleElodie MazockyMarie Luce ParrouffeCatherine JadaudStanislas AbrardPierre-Antoine TroncheArthur VialEmma AkaAnne-Sophie BellocqJean-François CarabalonaBlandine FayardJean Marie GuyaderLetitia HuriauxIngrid MillotAntoine LamblinMarine DutourMathilde Roukhomovsky-MorettiPascal MeuretNadir OmraniBarnabé RaymondClemence RoyFlorent SigwaltXavier MerindolMathieu DesmardLouis BourreauPierre-Antoine AllainCharlotte Dei SvaldiBrenton Alexander
• Organismes : University of California [San Francisco] University of California Hôpital Claude Huriez [Lille] Hôpital Européen Georges Pompidou [APHP] Clinique Pasteur [Toulouse] Hôpital Marie-Lannelongue CHU Tenon [AP-HP] Sorbonne Université Hôpital Claude Huriez [Lille] Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre] Centre Hospitalier Régional Universitaire de Nancy Hopital Saint-Louis [AP-HP] Département d'anesthésie [Gustave Roussy] Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research Immunology from Concept and Experiments to Translation = Immunologie Conceptuelle, Expérimentale et Translationnelle Hôpital Beaujon [AP-HP] Groupe d'Etude de la Thrombose de Bretagne Occidentale Hôpital d'Instruction des Armées Clermont Tonnerre Hôpital Edouard Herriot [CHU - HCL] Pharmacologie des anti-infectieux et antibiorésistance [U 1070] Centre hospitalier universitaire de Poitiers = Poitiers University Hospital Centre Hospitalier Universitaire d'Angers Centre Hospitalier Universitaire de Nîmes Initial MAnagement and prevention of acute orGan failures IN critically ill patiEnts Faculté de Médecine - Clermont-Auvergne Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] Centre Hospitalier Régional Universitaire [Montpellier] Hôpital Foch [Suresnes] Hôpital de la Cavale Blanche - CHRU Brest Optimisation des régulations physiologiques CHU Amiens-Picardie Simplification des soins chez les patients complexes - UR UPJV 7518 Centre hospitalier de Montauban Hôpital Saint Philibert [Lomme] Centre Hospitalier Universitaire [Strasbourg] Centre hospitalier de Valence Hôpital Roger Salengro [Lille] Service d'anesthésie réanimation chirurgicale [Rennes] Centre d'Investigation Clinique de Besançon Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris] Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] Service d'Anesthésie-Réanimation [AP-HP Hôpitaux Saint-Louis Lariboisière] Marqueurs cardiovasculaires en situation de stress Hôpital d'Instruction des Armées Clermont Tonnerre Hôpital d'Instruction des Armées Clermont Tonnerre Hôpital d'Instruction des Armées Clermont Tonnerre Hopital d'instruction des armées Sainte-Anne [Toulon] Hôpital d'Instruction des Armées Clermont Tonnerre Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] Centre Hospitalier Régional Universitaire [Montpellier]
• Publié dans JAMA Cardiology le 25/10/2020

---

Résumé : Importance: Before surgery, the best strategy for managing patients who are taking renin-angiotensin system inhibitors (RASIs) (angiotensin-converting enzyme inhibitors or angiotensin receptor blockers) is unknown. The lack of evidence leads to conflicting guidelines. Objective: To evaluate whether a continuation strategy vs a discontinuation strategy of RASIs before major noncardiac surgery results in decreased complications at 28 days after surgery. Design, Setting, and Participants: Randomized clinical trial that included patients who were being treated with a RASI for at least 3 months and were scheduled to undergo a major noncardiac surgery between January 2018 and April 2023 at 40 hospitals in France. Intervention: Patients were randomized to continue use of RASIs (n = 1107) until the day of surgery or to discontinue use of RASIs 48 hours prior to surgery (ie, they would take the last dose 3 days before surgery) (n = 1115). Main Outcomes and Measures: The primary outcome was a composite of all-cause mortality and major postoperative complications within 28 days after surgery. The key secondary outcomes were episodes of hypotension during surgery, acute kidney injury, postoperative organ failure, and length of stay in the hospital and intensive care unit during the 28 days after surgery. Results: Of the 2222 patients (mean age, 67 years [SD, 10 years]; 65% were male), 46% were being treated with angiotensin-converting enzyme inhibitors at baseline and 54% were being treated with angiotensin receptor blockers. The rate of all-cause mortality and major postoperative complications was 22% (245 of 1115 patients) in the RASI discontinuation group and 22% (247 of 1107 patients) in the RASI continuation group (risk ratio, 1.02 [95% CI, 0.87-1.19]; P = .85). Episodes of hypotension during surgery occurred in 41% of the patients in the RASI discontinuation group and in 54% of the patients in the RASI continuation group (risk ratio, 1.31 [95% CI, 1.19-1.44]). There were no other differences in the trial outcomes. Conclusions and Relevance: Among patients who underwent major noncardiac surgery, a continuation strategy of RASIs before surgery was not associated with a higher rate of postoperative complications than a discontinuation strategy. Trial Registration: ClinicalTrials.gov Identifier: NCT03374449

---

Fichiers liés : 2024 Legrand et al., Continuation vs Discontinuation.pdf

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 29/08/2024
• Auteurs : Sarah BaillyVanessa MachaultSamuel BeneteauPhilippe PalanyCamille FritzellRomain GirodJean-Pierre LacauxPhilippe QuénelClaude Flamand
• Organismes : Unité d'Epidémiologie [Cayenne, Guyane française] Laboratoire d'aérologie Unité d'Epidémiologie [Cayenne, Guyane française] Direction Inter-Régionale des Antilles-Guyane Unité d'Epidémiologie [Cayenne, Guyane française] Entomologie médicale [Cayenne, Guyane française] Laboratoire d'aérologie Institut de recherche en santé, environnement et travail École des Hautes Études en Santé Publique Institut Pasteur de la Guyane Institut Pasteur du Cambodge Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases Unité d'Epidémiologie [Cayenne, Guyane française]
• Publié dans Pathogens le 26/10/2020

---

Résumé : French Guiana lacks a dedicated model for developing an early warning system tailored to its entomological contexts. We employed a spatiotemporal modeling approach to predict the risk of larvae presence in local households in French Guiana. The model integrated field data on larvae, environmental data obtained from very high-spatial-resolution Pleiades imagery, and meteorological data collected from September 2011 to February 2013 in an urban area of French Guiana. The identified environmental and meteorological factors were used to generate dynamic maps with high spatial and temporal resolution. The study collected larval data from 261 different surveyed houses, with each house being surveyed between one and three times. Of the observations, 41% were positive for the presence of larvae. We modeled the larvae risk within a radius of 50 to 200 m around houses using six explanatory variables and extrapolated the findings to other urban municipalities during the 2020 dengue epidemic in French Guiana. This study highlights the potential of spatiotemporal modeling approaches to predict and monitor the evolution of vector-borne disease transmission risk, representing a major opportunity to monitor the evolution of vector risk and provide valuable information for public health authorities.

---

Fichiers liés : pathogens-13-00738.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 28/08/2024
• Auteurs : Anne-Lise GoujonVincent ArdAntoine LaurentAurélien PierreSophie CorsonPhilippe GouézinPhilippe LelongVidal Sophie-JeanneErmias Yeshitla Sengi
• Organismes : Technologie et Ethnologie des Mondes Préhistoriques Centre français des études éthiopiennes [Addis-Abeba, Éthiopie] = French Center for Ethiopian Studies [Addis Ababa, Ethiopia] Travaux et recherches archéologiques sur les cultures, les espaces et les sociétés Travaux et recherches archéologiques sur les cultures, les espaces et les sociétés Institut de recherche en informatique de Toulouse Musée Fenaille Conseil départemental de la Vendée Centre de Recherche en Archéologie, Archéosciences, Histoire École Doctorale TESC Temps - Espaces - Sociétés - Cultures, ED 327

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 28/08/2024
• Auteurs : Laure PonthierBénédicte FranckJulie AutmizguineMarc LabriffePhilippe OvetchkinePierre MarquetAnders AsbergJean-Baptiste Woillard
• Organismes : Ciblage individuel et prévention des risques de traitements immunosupresseurs et de la transplantation CHU Limoges Centre d'Investigation Clinique [Rennes] CHU Sainte Justine [Montréal] Université de Montréal Ciblage individuel et prévention des risques de traitements immunosupresseurs et de la transplantation CHU Limoges Université de Montréal Ciblage individuel et prévention des risques de traitements immunosupresseurs et de la transplantation CHU Limoges University of Oslo Oslo University Hospital [Oslo] Ciblage individuel et prévention des risques de traitements immunosupresseurs et de la transplantation CHU Limoges
• Publié dans Antimicrobial Agents and Chemotherapy le 26/10/2020

---

Résumé : Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (ML) algorithms represent an interesting alternative to Maximum-a-Posteriori Bayesian-estimators for AUC estimation. The goal of our study was to develop and validate an ML-based limited sampling strategy (LSS) approach to determine ganciclovir AUC(0-24) after administration of either intravenous ganciclovir or oral valganciclovir in children. Pharmacokinetic parameters from four published population pharmacokinetic models, in addition to the World Health Organization growth curve for children, were used in the mrgsolve R package to simulate 10,800 pharmacokinetic profiles of children. Different ML algorithms were trained to predict AUC(0-24) based on different combinations of two or three samples. Performances were evaluated in a simulated test set and in an external data set of real patients. The best estimation performances in the test set were obtained with the Xgboost algorithm using a 2 and 6 hours post dose LSS for oral valganciclovir (relative mean prediction error [rMPE] = 0.4% and relative root mean square error [rRMSE] = 5.7%) and 0 and 2 hours post dose LSS for intravenous ganciclovir (rMPE = 0.9% and rRMSE = 12.4%). In the external data set, the performance based on these two sample LSS was acceptable: rMPE = 0.2% and rRMSE = 16.5% for valganciclovir and rMPE = -9.7% and rRMSE = 17.2% for intravenous ganciclovir. The Xgboost algorithm developed resulted in a clinically relevant individual estimation using only two blood samples. This will improve the implementation of AUC-targeted ganciclovir therapeutic drug monitoring in children.

---

Fichiers liés : Ponthier et al-2024-Application of machine learning models to predict the ganciclovir and valganciclovir.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 28/08/2024
• Auteurs : Pierre-Antoine BeauvaisDidier BinderFrançoise BostynJean-Philippe CollinElsa DefranouldVincent DelvignePaul FernandesAlix GibaudMikaël Guiavarc'HMarie ImbeauxCéline Bressy-LeandriFrançois-Xavier Le BourdonnecLudovic MevelAntoine PasqualiniStéphane RenaultAntonin TomassoChristophe TufféryErwan Vaissié
• Organismes : Technologie et Ethnologie des Mondes Préhistoriques University of Cape Town Travaux et recherches archéologiques sur les cultures, les espaces et les sociétés Culture et Environnements, Préhistoire, Antiquité, Moyen-Age Université Paris 1 Panthéon-Sorbonne Centre de recherches en archéologie et patrimoine Trajectoires - UMR 8215 Culture et Environnements, Préhistoire, Antiquité, Moyen-Age Technologie et Ethnologie des Mondes Préhistoriques Paléotime Technologie et Ethnologie des Mondes Préhistoriques Laboratoire méditerranéen de préhistoire Europe-Afrique Centre de Recherche en Archéologie, Archéosciences, Histoire Archéologie, Terre, Histoire, Sociétés [Dijon] Travaux et recherches archéologiques sur les cultures, les espaces et les sociétés Ministère de la Culture Archéosciences Bordeaux Technologie et Ethnologie des Mondes Préhistoriques Culture et Environnements, Préhistoire, Antiquité, Moyen-Age Laboratoire méditerranéen de préhistoire Europe-Afrique Culture et Environnements, Préhistoire, Antiquité, Moyen-Age Centre National de la Recherche Scientifique Université Côte d'Azur Technologie et Ethnologie des Mondes Préhistoriques Ministère de la Culture Archéologies et Sciences de l'Antiquité De la Préhistoire à l'Actuel : Culture, Environnement et Anthropologie Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich

---

Résumé : Started in 2019, the Research Group (GDR) “Silex” is a consortium of about fifty researchers from various institutions interested in the diagnosis and transfer of siliceous raw materials during Prehistory. The research is structured around three complementary axes: 1. questioning the reliability of different analysis methods (axis 1); 2. enriching the data corpus through the use of harmonized tools (axis 2); 3. reflecting on the archaeological implications induced by methodological transformations over the last 15 years (axis 3). A transversal axis concerns publication and communication strategies with the aim of making data as accessible as possible. For these works, it was necessary to harmonize the vocabulary, build data recording tools, and develop exchange and visualization platforms. Inventory files of about fifteen lithotheques and the results of surveys conducted by GDR members since 2019 are now directly shared online under a free license specific for France (Etalab 2.0) compatible with the CC-BY license. This publication is based on a server and a mapping application (ArcGisOnLine) and a data warehouse (Nakala). The whole system enables georeferenced and descriptive data and associated images at different scales to be shared. Today, the data chain from their production to their publication, is a structured process, which enables to answer to the questions and constraints of archaeologists. The whole system allows both the enhancement of old data and the implementation of new surveys and characterizations data. The handling of these tools is facilitated through initial training sessions organized annually and follow up by various GDR members in charge of data validation. As a true collaborative platform, the proposed tool allows for the pooling of work at each one’s place, in a spirit of data sharing and protection and in compliance with FAIR principles.

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 28/08/2024
• Auteurs : Pierre TuletJoel van BaelenPierre BosserJérôme BrioudeAurélie ColombPhilippe GoloubAndrea PazmiñoThierry PortafaixMichel RamonetKarine SellegriMelilotus ThyssenLéa GestNicolas MarquestautDominique MékièsJean-Marc MetzgerGilles AthierLuc BlarelMarc DelmotteGuillaume DesprairiesMérédith DournauxGaël DuboisValentin DuflotKevin LamyLionel GardesJean-François GuillemotValérie GrosJoanna KolasinskiMorgan LopezO. MagandErwan NouryManuel Nunes-PinharandaGuillaume PayenJoris PianezzeDavid PicardOlivier PicardSandrine PrunierFrançois Rigaud-LouiseMichaël SicardBenjamin Torres
• Organismes : Laboratoire d'aérologie Laboratoire de l'Atmosphère et des Cyclones École Nationale Supérieure de Techniques Avancées Bretagne Equipe Marine Mapping & Metrology Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance Laboratoire de l'Atmosphère et des Cyclones Laboratoire de Météorologie Physique Laboratoire d’Optique Atmosphérique - UMR 8518 STRATO - LATMOS Laboratoire de l'Atmosphère et des Cyclones Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ICOS-RAMCES Laboratoire de Météorologie Physique Institut méditerranéen d'océanologie Laboratoire de l'Atmosphère et des Cyclones Observatoire des Sciences de l'Univers de La Réunion Laboratoire de l'Atmosphère et des Cyclones Observatoire des Sciences de l'Univers de La Réunion Laboratoire d'aérologie Laboratoire d’Optique Atmosphérique - UMR 8518 Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ICOS-RAMCES Observatoire des Sciences de l'Univers de La Réunion Laboratoire d'aérologie Laboratoire d’Optique Atmosphérique - UMR 8518 Laboratoire de l'Atmosphère et des Cyclones Norwegian Institute for Air Research Observatoire des Sciences de l'Univers de La Réunion Laboratoire de l'Atmosphère et des Cyclones Terres Australes et Antarctiques Françaises Observatoire des Sciences de l'Univers de La Réunion Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] Chimie Atmosphérique Expérimentale Ecologie marine tropicale dans les Océans Pacifique et Indien Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ICOS-RAMCES Observatoire des Sciences de l'Univers de La Réunion Observatoire des Sciences de l'Univers de La Réunion Laboratoire Atmosphères, Milieux, Observations Spatiales Observatoire des Sciences de l'Univers de La Réunion Laboratoire d'aérologie Laboratoire de Météorologie Physique Laboratoire de l'Atmosphère et des Cyclones Laboratoire de l'Atmosphère et des Cyclones Laboratoire de l'Atmosphère et des Cyclones Laboratoire de l'Atmosphère et des Cyclones Laboratoire d’Optique Atmosphérique - UMR 8518
• Publié dans Earth System Science Data le 23/10/2020

---

Résumé : This article is devoted to the presentation of the MAP-IO observation program. This program, launched in early 2021, has enabled the observation of nearly 700 d of measurements over the Indian and Southern Ocean with the equipment of 17 meteorological and oceanographic scientific instruments on board the ship Marion Dufresne. Several observational techniques have been developed to respond to the difficulties of observations on board the ship, in particular for passive remote sensing data, as well as for quasi-autonomous data acquisition and transfer. The first measurements made it possible to draw up unprecedented climatological data of the Southern Ocean regarding the size distribution and optical thickness of aerosols, the concentration of trace gases and greenhouse gases, UV, and integrated water vapor.

---

Fichiers liés : 81-Tulet-et-al-essd-2024.pdf

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 27/08/2024
• Auteurs : Aurélien DinhMartin McnallyEmma D’anglejanChristel Mamona KiluJulie LourtetRosemary HoMatthew ScarboroughMaria DudarevaGerald JesuthasanCecile Ronde OustauStéphane KleinLaura Escolà-VergéDolores Rodriguez PardoPierre DelobelJaime Lora-TamayoMikel Mancheño-LosaMaria Luisa Sorlí RedóJosé María Barbero AllendeCédric ArvieuxDanguole VaznaisièneThomas BauerAnne-Laure RouxLatifa NoussairStéphane CorvecMarta Fernández-SampedroNicolò RossiAdrien LemaignenMauro José Costa SallesTaiana Cunha RibeiroJulien MazetMilène SassoJean-Philippe LavigneAlbert SottoEtienne CanouïÉric SennevillePauline ThillOlivier LortholaryFanny LanternierLaura MorataAlex SorianoGérard GiordanoCamille FourcadeBernhard J H FrankJochen G HofstaetterClara DuranEric Bonnet
• Organismes : Hôpital Raymond Poincaré [AP-HP] Oxford University Hospitals NHS Trust Hôpital Raymond Poincaré [AP-HP] Hôpital Raymond Poincaré [AP-HP] Groupe Hospitalier Paris Saint-Joseph Oxford University Hospitals NHS Trust Oxford University Hospitals NHS Trust Oxford University Hospitals NHS Trust Oxford University Hospitals NHS Trust Université de Strasbourg Université de Strasbourg Vall d'Hebron University Hospital [Barcelona] Vall d'Hebron University Hospital [Barcelona] Centre Hospitalier Universitaire de Toulouse Hospital Universitario 12 de Octubre = University Hospital October 12 [Madrid] Hospital Universitario 12 de Octubre = University Hospital October 12 [Madrid] Hospital Universitario Puerta del Mar [Cádiz, Spain] Universidad de Alcalá [Alcalá de Henares, España] = University of Alcalá [Alcalá de Henares, Spain] = Université d'Alcalá [Alcalá de Henares, Espagne] Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou] Lithuanian University of health Sciences Hôpital Raymond Poincaré [AP-HP] Hôpital Raymond Poincaré [AP-HP] Centre Hospitalier Universitaire de Nantes = Nantes University Hospital Marqués de Valdecilla Research Institute - Instituto de Investigación Marqués de Valdecilla [Santander] Centre Hospitalier Régional Universitaire de Tours Faculdade de Ciências Médicas Santa Casa de São Paulo [Brazil] Faculdade de Ciências Médicas Santa Casa de São Paulo [Brazil] Centre Hospitalier Universitaire de Nîmes Centre Hospitalier Universitaire de Nîmes Centre Hospitalier Universitaire de Nîmes Centre Hospitalier Universitaire de Nîmes Hôpital Cochin [AP-HP] Centre Hospitalier Régional Universitaire [CHU Lille] Centre Hospitalier Régional Universitaire [CHU Lille] Hôpital Necker - Enfants Malades [AP-HP] Hôpital Necker - Enfants Malades [AP-HP] Hôpital Joseph Ducuing - Varsovie [Toulouse] Hôpital Joseph Ducuing - Varsovie [Toulouse] Wilhelminenspital Vienna = Wilhelminen Hospital Wilhelminenspital Vienna = Wilhelminen Hospital Hôpital Raymond Poincaré [AP-HP] Hôpital Joseph Ducuing - Varsovie [Toulouse]
• Publié dans Clinical Infectious Diseases le 30/10/2020

---

Résumé : Background: Prosthetic joint infection (PJI) caused by Candida spp is a severe complication of arthroplasty. We investigated the outcomes of Candida PJI. Methods: This was a retrospective observational multinational study including patients diagnosed with Candida-related PJI between 2010 and 2021. Treatment outcome was assessed at 2-year follow-up. Results: A total of 269 patients were analyzed. Median age was 73.0 (interquartile range [IQR], 64.0-79.0) years; 46.5% of patients were male and 10.8% were immunosuppressed. Main infection sites were hip (53.0%) and knee (43.1%), and 33.8% patients had fistulas. Surgical procedures included debridement, antibiotics, and implant retention (DAIR) (35.7%), 1-stage exchange (28.3%), and 2-stage exchange (29.0%). Candida spp identified were Candida albicans (55.8%), Candida parapsilosis (29.4%), Candida glabrata (7.8%), and Candida tropicalis (5.6%). Coinfection with bacteria was found in 51.3% of cases. The primary antifungal agents prescribed were azoles (75.8%) and echinocandins (30.9%), administered for a median of 92.0 (IQR, 54.5-181.3) days. Cure was observed in 156 of 269 (58.0%) cases. Treatment failure was associated with age >70 years (OR, 1.811 [95% confidence interval {CI}: 1.079-3.072]), and the use of DAIR (OR, 1.946 [95% CI: 1.157-3.285]). Candida parapsilosis infection was associated with better outcome (OR, 0.546 [95% CI: .305-.958]). Cure rates were significantly different between DAIR versus 1-stage exchange (46.9% vs 67.1%, P = .008) and DAIR versus 2-stage exchange (46.9% vs 69.2%, P = .003), but there was no difference comparing 1- to 2-stage exchanges (P = .777). Conclusions: Candida PJI prognosis seems poor, with high rate of failure, which does not appear to be linked to immunosuppression, use of azoles, or treatment duration.

---

Fichiers liés : ciae395.pdf

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 27/08/2024
• Auteurs : Samuel ChalléatNicolas FarrugiaJérémy S.P. FroidevauxAmandine GascNicolas PajuscoCarlos R AbrahamsOrlando Acevedo‐charryLudmilla M S AguiarZachary R AhlinFranz AipleCécile H. AlbertIrene AlcocerAna Sofia AlvesFrancisco AmorimLudmila B AndradePedro M AraújoFernando AscensãoSerge AucoinElias BaderDiego BalbuenaLuc BarbaroEder BarbierEliana Barona CortésLuis Emilio BarrieJosé L BartheldHenry BatesAlice BaudouinRichard D BeasonChrista BeckmannAmy BeestonGvan BeláKristen M BellisarioSimon BelshawGuillermo Velo-AntónRaone Beltrão‐mendesEnrico BernardThierry BeschePeter A BiroCathie BoléatMathieu BossaertAlly BradleyPaulo BrancoWijnand BredewoldPhilip A BriggsSylvio Romério Briglia-FerreiraEmily BucknerIvana BudinskiAlbane BurensRachel T BuxtonAndrés CanaveroPaulo CardosoFarah Carrasco-RuedaPaula C CaycedoFrédéric CazabanLara R CerveiraAda CeuppensAlain ChalléatAngela Chappa LarreaAdrien CharbonneauMina CharnauxPooja ChoksiJan CibulkaJulián Clavijo-BustosZuania Colón-PiñeiroSofia CondeMaria João CostaAntónio CotãoClément CouturierMarina D A ScarpelliLuis P da SilvaTom DavisNathalie de LacosteSarah L DeansSerge DentinKrzysztof DeoniziakSarah R DodginIvo dos SantosTudor I DraganoiuBruno DroletMarina H L DuarteGonçalo DuarteChloé DubsetFrank DziockAlice EldridgeSimon EliseDavid R ElliottArthur EnguehardKarl EsztlDarren M EvansDaniel M FerreiraSonia a F FerreiraDiogo F FerreiraAna Margarida FerreiraPenelope C FialasLauren Foster-ShanerBárbara FreitasNicholas R FriedmanSusan FullerDidier GalopDaniel GarsideJean-Christophe GattusSylvain GeoffrayLouis GodartLaurent GodetInês Gomes MarquesFernando González-GarcaPaul GriesbergerBilal HabibMadeline E HalletMeena M HaribalJennifer HatlaufSylvain HaupertJosé M HerreraSierra E HerzbergerFrederico Hintze OliveiraKathy H HodderIsabelle HoecherlMark F HulmeEmilia HylandMichel JacobsAkash JaiswalLaurent JégouSteve JonesHervé JourdanTomáš JůnekLeili KhalatbariSarika KhanwilkarJames J N KitsonAmanda H KorstjensKim Krähenbühl-KünzliNatalija LaceSébastien LaguetHedwig LankauThiago O LaranjeirasGregoire LauvinSamuel LavinMatthieu Le CorreMonica LeónJudah J LevensonPavel LinhartJuliette LinossierDiego J LizcanoDiego LlusiaMarty LockettPedro B LopesRicardo Jorge LopesJosé Vicente López-BaoAdrià López‐baucellsDavid López-BoschRicardo B MachadoClaude MandeGuillaume MarchaisFabio MarcolinOscar H Marn GómezCarina B MarquesJ. Tiago MarquesTilla MartinVanessa MataEloisa Matheu-CortadaVincent MédocKirsten E MillerBasile MontagneAllen MooreJomari M A MorenoFelipe N Moreno-GómezSandra MüllerDaniela Murillo-BedoyaLuciano N NakaAdrian C NewtonJoão T NunesPierrette NyssenFionn Ó MarcaighDarren P O’connellM. Teague O’maraDavid OcampoMeryem OuertaniJan Olav OwrenVitor H PaivaStéphane ParisMarion ParisotSwaroop PatankarJorge M PereiraSlvia Pereira BarreiroCédric PeyronnetMagalie PhillippeBryan C PijanowskiNuno PintoZach PoffJonathan M PoppeleAndrew PowerVictoria PrattDarren S ProppeRaphaël ProulxLaura PrughSebastien J PuechmailleXavier Puig-MontserratLorenzo QuagliettaJohn E QuinnNancy I QuirogaMariana RamosRebecca RasmussenGeorges ReckingerMimi ReedJean-Benoît ReginsterVanesa RiveraClara F RodriguesPatricia Mara Rodrguez-GonzálezEduardo Rodrguez-RodrguezLuke RomaineAndrei L RoosJoao RosaNull- J RossQuentin RouyAlyssa M RyserSougata SadhukhanRobin SandfortJosé Maria SantosDavid SavageStéphanie C Schai-BraunMichael Scherer-LorenzenMathilde Schoenauer SebagPedro SeguradoAna M SerronhaTaylor ShawBrenda ShepherdCárol Sierra-DuránBruno M SilvaVictoire SimonPeter F SinclairCarolina Soto-NavarroAnne SourdrilJérôme SueurLarissa S M SugaiIan B TarrantFran TattersallChristopher N TempletonMichelle E ThompsonMarcela ToddJuan D Tovar-GarcaKarina TownsendAmaro TuninettiPaul A UllrichJuan S Vargas SotoKevin VegaGabriella VentricePierre J VictorJosep Vidal OliverasSara Villén-PérezOlivier VinetAgnés VivatJean-Do VrignaultWilliam D J WaltonChristopher J WatsonOliver R WearnDamion L WhyteFredric M WindsorYanchen WuSelena XieIgnacio Zeballos PuccherelliVera Zina
• Organismes : Géographie de l'environnement Observatoire de l'environnement nocturne Institut Ecologie et Environnement - CNRS Ecologie et Environnement Institut des Sciences Humaines et Sociales - CNRS Sciences humaines et sociales Equipe Better Representations for Artificial Intelligence Département Mathematical and Electrical Engineering Centre de Recherches sur les Ecosystèmes d'Altitude Muséum national d'Histoire naturelle Institut méditerranéen de biodiversité et d'écologie marine et continentale Oregon State University Laboratoire d'Acoustique de l'Université du Mans Laboratoire d'Acoustique de l'Université du Mans Florida Museum of Natural History [Gainesville] University of Braslia, Braslia University of Washington [Seattle] Department of Epigenetics [Freiburg Im Breisgau] Institut méditerranéen de biodiversité et d'écologie marine et continentale Universidad Autónoma de Madrid Centre de Recherche en Paléontologie - Paris Centro de Investigação em Biodiversidade e Recursos Genéticos [Vairao] Universidade de Brasilia = University of Brasilia [Brasília] Institute of Marine Research [Bergen] Centre for Ecology - Evolution and Environmental Changes IDL-Faculdade de Ciencias da Universidade de Lisboa Parks Canada Agency Wildlife Consulting Dynamiques et écologie des paysages agriforestiers Universidade Federal de Pernambuco [Recife] Ligue pour la Protection des Oiseaux Hawkesbury Institute for the Environment [Richmond] Deakin University [Melbourne Burwood] Western Sydney University Géographie de l'environnement Géographie de l'environnement Littoral, Environnement, Télédétection, Géomatique Laboratoire Interdisciplinaire Solidarités, Sociétés, Territoires Université Toulouse - Jean Jaurès Géographie de l'environnement
• Publié dans Scientific Data le 29/10/2020

---

Résumé : Political responses to the COVID-19 pandemic led to changes in city soundscapes around the globe. From March to October 2020, a consortium of 261 contributors from 35 countries brought together by the Silent Cities project built a unique soundscape recordings collection to report on local acoustic changes in urban areas. We present this collection here, along with metadata including observational descriptions of the local areas from the contributors, open-source environmental data, open-source confinement levels and calculation of acoustic descriptors. We performed a technical validation of the dataset using statistical models run on a subset of manually annotated soundscapes. Results confirmed the large-scale usability of ecoacoustic indices and automatic sound event recognition in the Silent Cities soundscape collection. We expect this dataset to be useful for research in the multidisciplinary field of environmental sciences.

---

Fichiers liés : s41597-024-03611-7.pdf

---

Source