CASPワークショップ参加記

The nanostructure of the active layer in polymer/fullerene bulk heterojunction solar cells is known to have a strong impact on the device performances. Controlling the polymer/fullerene blend morphology is therefore particularly important. In this work, a rod-coil block copolymer, based on a regioregular poly(3-hexylthiophene) electron-donor rod block and a C-60-grafted coil block, is used as compatibilizer and its influences on the thin film morphology as well as the photovoltaic performances are investigated. It is shown that a small fraction of compatibilizer can enhance the device performances in an otherwise non-optimized process. At higher fractions or long annealing times however, the fullerene-grafted copolymer is found to behave as a nucleation center and triggers the formation of fullerene crystals

Extracorporeal Membrane Oxygenation for Severe Acute Respiratory Distress Syndrome associated with COVID-19: An Emulated Target Trial Analysis.

RATIONALE: Whether COVID patients may benefit from extracorporeal membrane oxygenation (ECMO) compared with conventional invasive mechanical ventilation (IMV) remains unknown. OBJECTIVES: To estimate the effect of ECMO on 90-Day mortality vs IMV only Methods: Among 4,244 critically ill adult patients with COVID-19 included in a multicenter cohort study, we emulated a target trial comparing the treatment strategies of initiating ECMO vs. no ECMO within 7 days of IMV in patients with severe acute respiratory distress syndrome (PaO2/FiO2 <80 or PaCO2 ≥60 mmHg). We controlled for confounding using a multivariable Cox model based on predefined variables. MAIN RESULTS: 1,235 patients met the full eligibility criteria for the emulated trial, among whom 164 patients initiated ECMO. The ECMO strategy had a higher survival probability at Day-7 from the onset of eligibility criteria (87% vs 83%, risk difference: 4%, 95% CI 0;9%) which decreased during follow-up (survival at Day-90: 63% vs 65%, risk difference: -2%, 95% CI -10;5%). However, ECMO was associated with higher survival when performed in high-volume ECMO centers or in regions where a specific ECMO network organization was set up to handle high demand, and when initiated within the first 4 days of MV and in profoundly hypoxemic patients. CONCLUSIONS: In an emulated trial based on a nationwide COVID-19 cohort, we found differential survival over time of an ECMO compared with a no-ECMO strategy. However, ECMO was consistently associated with better outcomes when performed in high-volume centers and in regions with ECMO capacities specifically organized to handle high demand. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/)

La grève des salariés sans papiers : aspects juridiques

International audienc

Les mycotoxines dans le vin et le café (cas de l'ochratoxine A)

PARIS-BIUP (751062107) / SudocSudocFranceF

Emerging organic electronics

International audienceZuo-Quan Jiang, Cyril Poriel and Nicolas Leclerc introduce theMaterials Chemistry Frontiersthemed collection on emerging organic electronics

A statistical tool for leakage assessment and detection on partially AMR equipped DMA

International audienc

Kernel ridge regression in a graph : Application to the drinking water network

Ce travail aborde le problème de l'inférence sur les nœuds d'un très grand graphe, représentant un réseau de distribution d'eau potable, à partir d'une observation partielle de quelques données, possiblement chronologiques, sur un faible nombre de nœuds. Nous utilisons une approche de prédiction par noyau reposant sur un estimateur pénalisé de type ridge qui soulève des problèmes d'analyse spectrale d'une très grande matrice creuse.The aim of this paper is to present the methodology of statistical inference and prediction for processes defined on network graphs when those processes are only observed on a small number of nodes. The kernel regression approach presented here already raise the question of eigenvectors computation of a very large adjacency matrix

Régression ridge a noyau dans un graphe : Application au réseau de distribution d'eau potable

Papier présenté à la conférence JDS Avignon 2017 le 30 mai 2017The aim of this paper is to present the methodology of statistical inference and prediction for processes defined on network graphs when those processes are only observed on a small number of nodes. The kernel regression approach presented here already raise the question of eigenvectors computation of a very large adjacency matrix.Ce travail aborde le problème de l'inférence sur les nœuds d'un très grand graphe, représentant un réseau de distribution d'eau potable, à partir d'une observation partielle de quelques données, possiblement chronologiques, sur un faible nombre de nœuds. Nous utilisons une approche de prédiction par noyau reposant sur un estimateur pénalisé de type ridge qui soulève des problèmes d'analyse spectrale d'une très grande matrice creuse