35 research outputs found

    A new route to trihydroxamate-containing artificial siderophores and synthesis of a new fluorescent probe.

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    A fluorescent labelled artificial siderophore 1 was synthesized by coupling a 7-nitrobenz-2-oxa-1,3-diazole (NBD) derivative to the terminal amino group of a new trihydroxamate-containing amine 2, a ferrichrome-type siderophore that was obtained from tris(hydroxymethyl) amino methane. Compound I was shown to be a suitable tool for experiments on siderophore transport and uptake processes in various organisms cells and particularly in Candida albicans cells

    Le clerc sĂ©culier au Moyen Âge

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    Qu'on n'attende pas ici une Ă©tude exhaustive d'un groupe social Ă©miettĂ© et diversifiĂ©, tant par ses origines, sa formation intellectuelle que par les fonctions exercĂ©es par ses membres. Le rapport introductif en souligne les clivages, tout en notant quelques traits communs : la jouissance d'un statut apportant immunitĂ© judiciaire et fiscale, mais qui suscite plus de critiques que de considĂ©ration, en raison de l'Ă©cart entre l'idĂ©al Ă©vangĂ©lique, souvent recherchĂ©, et la conduite des clercs, trop souvent relĂąchĂ©e. Du royaume de France Ă  la Scandinavie, de la pĂ©ninsule ibĂ©rique Ă  Constantinople. surgissent les images contrastĂ©es des clergeons de cathĂ©drales, des prĂȘtres-filleuls formant une vĂ©ritable plĂšbe ecclĂ©siastique, des curĂ©s ruraux mal instruits, des dignitaires de chapitres et des Ă©vĂȘques qui s'efforcent, tant bien que mal, de veiller au bon fonctionnement des institutions, de contrĂŽler les mƓurs du clergĂ© et de lui assurer une mĂ©diocre formation continue, afin qu'il puisse mieux rĂ©pondre Ă  l'idĂ©al sacerdotal. Les diverses communications qui suivent cherchent donc Ă  prĂ©ciser l'image du clerc dans la sociĂ©tĂ© mĂ©diĂ©vale, le recrutement, la formation, le ministĂšre pastoral, Ă  comprendre aussi comment, par delĂ  la diversitĂ© des fonctions et les distances sociales, les clercs sĂ©culiers forment un corps, le cƓtus clericorum, qui se regroupe dans des confrĂ©ries ou dans des quartiers urbains spĂ©cifiques, Ă©tudiĂ©s par notre regrettĂ© collĂšgue, Jean-Charles Picard, dont ce fut l'une des derniĂšres interventions parmi nous. Si un ouvrage d'ensemble sur le clergĂ© sĂ©culier au Moyen Âge est encore prĂ©maturĂ©, il faut souhaiter que les contributions ici rĂ©unies permettent au lecteur de mieux comprendre la vie foisonnante d'un groupe essentiel de la sociĂ©tĂ© mĂ©diĂ©vale, dans ses idĂ©aux comme dans ses contradictions

    Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT

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    International audienceIntroduction While crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented. Methods With a focus on annual inter-laboratory comparison (ILC) exercises performed in the context of the French coastal monitoring SOMLIT network, we share here a pragmatic approach to QC, which allows the calculation of systematic and random errors, measurement uncertainty, and individual performance. After an overview of the different QC actions applied to fulfill requirements for quality and competence, we report equipment, accommodation, design of the ILC exercises, and statistical methodology specially adapted to small environmental networks (<20 laboratories) and multivariate datasets. Finally, the expanded uncertainty of measurement for 20 environmental variables routinely measured by SOMLIT from discrete sampling—including Essential Ocean Variables—is provided. Results, Discussion, Conclusion The examination of the temporal variations (2001–2021) in the repeatability, reproducibility, and trueness of the SOMLIT network over time confirms the essential role of ILC exercises as a tool for the continuous improvement of data quality in environmental monitoring datasets

    DataSheet_1_Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT.docx

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    IntroductionWhile crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented.MethodsWith a focus on annual inter-laboratory comparison (ILC) exercises performed in the context of the French coastal monitoring SOMLIT network, we share here a pragmatic approach to QC, which allows the calculation of systematic and random errors, measurement uncertainty, and individual performance. After an overview of the different QC actions applied to fulfill requirements for quality and competence, we report equipment, accommodation, design of the ILC exercises, and statistical methodology specially adapted to small environmental networks (Results, Discussion, ConclusionThe examination of the temporal variations (2001–2021) in the repeatability, reproducibility, and trueness of the SOMLIT network over time confirms the essential role of ILC exercises as a tool for the continuous improvement of data quality in environmental monitoring datasets.</p
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