The difficulties of staging Shakespeare in the high school

Thesis (M.A.)--Boston Universit

13. 21 novembre 1946. Décret n° 46-2590 portant transformation de la section d'application de l'enseignement et des recherches de l'Institut national agronomique en École nationale supérieure des sciences agronomiques appliquées

Bidault Georges, Tanguy-Prigent Francois. 13. 21 novembre 1946. Décret n° 46-2590 portant transformation de la section d'application de l'enseignement et des recherches de l'Institut national agronomique en École nationale supérieure des sciences agronomiques appliquées. In: L'enseignement agricole et vétérinaire de la Libération à nos jours. Textes officiels avec introduction, notes et annexes. Paris : Institut national de recherche pédagogique, 2005. pp. 109-111. (Bibliothèque de l'Histoire de l'Education, 21

13. 21 novembre 1946. Décret n° 46-2590 portant transformation de la section d'application de l'enseignement et des recherches de l'Institut national agronomique en École nationale supérieure des sciences agronomiques appliquées

Bidault Georges, Tanguy-Prigent Francois. 13. 21 novembre 1946. Décret n° 46-2590 portant transformation de la section d'application de l'enseignement et des recherches de l'Institut national agronomique en École nationale supérieure des sciences agronomiques appliquées. In: L'enseignement agricole et vétérinaire de la Libération à nos jours. Textes officiels avec introduction, notes et annexes. Paris : Institut national de recherche pédagogique, 2005. pp. 109-111. (Bibliothèque de l'Histoire de l'Education, 21

Rapid and efficient protocol to introduce exogenous DNA in Vibrio harveyi and Pseudoalteromonas sp.

Vibrio campbellii BAA-1116 is renowned for its bioluminescence properties, and genetic tools are available to genetically track this strain. However, many other ecologically important V. harveyi strains exist, for which only few genetic tools are available. In this study, a rapid electroporation protocol was developed to transform replicative plasmids in various environmental V. harveyi and Pseudoalteromonas strains. Moreover, a mini-Tn7 delivery system was modified to site-specifically integrate mini-transposons in the genome of V. harveyi ORM4. As a proof-of-principle, replicative plasmids carrying bioreporters were introduced by electroporation in V. harveyi ORM4 cells, and gene expression was followed at the single cell level. We could demonstrate that a flagellar gene is subjected to bimodal gene expression in V. harveyi ORM4, being highly expressed in 10% of the population in stationary phase. This study extends the possibilities to study environmental Vibrio strains and uncovers the occurrence of phenotypic heterogeneity in flagellar expression in Vibrio

CT Texture Analysis Challenges: Influence of Acquisition and Reconstruction Parameters: A Comprehensive Review

International audienceTexture analysis in medical imaging is a promising tool that is designed to improve the characterization of abnormal images from patients, to ultimately serve as a predictive or prognostic biomarker. However, the nature of image acquisition itself implies variability in each pixel/voxel value that could jeopardize the usefulness of texture analysis in the medical field. In this review, a search was performed to identify current published data for computed tomography (CT) texture reproducibility and variability. On the basis of this analysis, the critical steps were identified with a view of using texture analysis as a reliable tool in medical imaging. The need to specify the CT scanners used and the associated parameters in published studies is highlighted. Harmonizing acquisition parameters between studies is a crucial step for future texture analysis

Direct Observations of Compositional Changes at the Early Stages of Er-doped Phase Separated Nanoparticles in Silicate Glasses

International audienc

Compositional Changes at the Early Stages of Nanoparticles Growth in Glasses

International audienc

A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI

International audienceGlioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The objective of this study was to develop machine learning (ML) algorithms for survival prediction of GBM patient. We identified a radiomic signature on a training-set composed of data from the 2019 BraTS challenge (210 patients) from MRI retrieved at diagnosis. Then, using this signature along with the age of the patients for training classification models, we obtained on test-sets AUCs of 0.85, 0.74 and 0.58 (0.92, 0.88 and 0.75 on the training-sets) for survival at 9-, 12- and 15-months, respectively. This signature was then validated on an independent cohort of 116 GBM patients with confirmed disease relapse for the prediction of patients surviving less or more than the median OS of 22 months. Our model insured an AUC of 0.71 (0.65 on train). The Kaplan–Meier method showed significant OS difference between groups (log-rank p = 0.05). These results suggest that radiomic signatures may improve survival outcome predictions in GBM thus creating a solid clinical tool for tailoring therapy in this population