Penser, classer au Mundaneum

Le Mundaneum a rouvert ses portes au mois de juin à Mons (Belgique), à l\u27occasion de Mons 2015, capitale européenne de la culture. Voici maintenant rassemblé pour la première fois depuis très longtemps ce qu\u27il reste de l\u27ensemble des collections constituées par Henri La Fontaine et Paul Otlet, ces bibliographes utopistes, pour réaliser à l\u27orée du XXe s. ce projet tentaculaire d\u27un « internet de papier »

Sesame Project - Deliverable D08-02 - WP02 H/V technique : experimental conditions - Final report on Measurement Guidelines

In the following we report the final results for WP02-Measurement Guidelines. This work was conducted under the framework of the SESAME Project (Site Effects Assessment Using Ambient Excitations, EC-RGD, Project No. EVG1-CT-2000-00026 SESAME), Task A (H/V technique), Work Package 02 (WP02 – Measurement Guidelines).European Commission – Research General Directorate Project No. EVG1-CT-2000-00026 SESAMEPublished4.1. Metodologie sismologiche per l'ingegneria sismicaope

Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database

© 2018 The Authors Structural changes to the wall of the left atrium are known to occur with conditions that predispose to Atrial fibrillation. Imaging studies have demonstrated that these changes may be detected non-invasively. An important indicator of this structural change is the wall\u27s thickness. Present studies have commonly measured the wall thickness at few discrete locations. Dense measurements with computer algorithms may be possible on cardiac scans of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). The task is challenging as the atrial wall is a thin tissue and the imaging resolution is a limiting factor. It is unclear how accurate algorithms may get and how they compare in this new emerging area. We approached this problem of comparability with the Segmentation of Left Atrial Wall for Thickness (SLAWT) challenge organised in conjunction with MICCAI 2016 conference. This manuscript presents the algorithms that had participated and evaluation strategies for comparing them on the challenge image database that is now open-source. The image database consisted of cardiac CT (n=10) and MRI (n=10) of healthy and diseased subjects. A total of 6 algorithms were evaluated with different metrics, with 3 algorithms in each modality. Segmentation of the wall with algorithms was found to be feasible in both modalities. There was generally a lack of accuracy in the algorithms and inter-rater differences showed that algorithms could do better. Benchmarks were determined and algorithms were ranked to allow future algorithms to be ranked alongside the state-of-the-art techniques presented in this work. A mean atlas was also constructed from both modalities to illustrate the variation in thickness within this small cohort

Le projet SEBIOPAG-PHYTO : déterminants agricoles parcellaires et paysagers des variations de niveaux de régulation biologique

Ce séminaire est une restitution des principales avancées obtenues dans le cadre des projets ANR PEERLESS «viabilité d’une gestion écologique renforcée de la santé des plantes dans les paysages agricoles » (2013-2017) et FRB SEBIOPAG-PHYTO «déterminants agricoles parcellaires et paysagers des variations de niveaux de régulation biologique » (2014-2017). Le séminaire a rassemblé 60 scientifiques, pour moitié extérieure aux unités INRA partenaires de ces projets. Il s'est déroulé à Paris Paris les 27-28 novembre 2017

Les effets conjugués de la gestion parcellaire et du contexte paysager et de sa dynamique sur les bioagresseurs et les niveaux de régulation biologique

Ce séminaire est une restitution des principales avancées obtenues dans le cadre des projets ANR PEERLESS «viabilité d’une gestion écologique renforcée de la santé des plantes dans les paysages agricoles » (2013-2017) et FRB SEBIOPAG-PHYTO «déterminants agricoles parcellaires et paysagers des variations de niveaux de régulation biologique » (2014-2017). Le séminaire a rassemblé 60 scientifiques, pour moitié extérieure aux unités INRA partenaires de ces projets. Il s'est déroulé à Paris Paris les 27-28 novembre 2017

Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (Open Access publication)

A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality control, normalisation and statistical methods for the detection of differentially expressed genes in order to provide some more general data analysis guidelines. All the workshop participants were given a real data set obtained in an EADGENE funded microarray study looking at the gene expression changes following artificial infection with two different mastitis causing bacteria: Escherichia coli and Staphylococcus aureus. It was reassuring to see that most of the teams found the same main biological results. In fact, most of the differentially expressed genes were found for infection by E. coli between uninfected and 24 h challenged udder quarters. Very little transcriptional variation was observed for the bacteria S. aureus. Lists of differentially expressed genes found by the different research teams were, however, quite dependent on the method used, especially concerning the data quality control step. These analyses also emphasised a biological problem of cross-talk between infected and uninfected quarters which will have to be dealt with for further microarray studies