Challenges in the value assessment, Pricing, and funding of targeted combination therapies in oncology
International audience
International audience
La communication a pour objet d'explorer les différents quartiers de Jérusalem dans les pas du canadien Guy Delisle, auteur du reportage graphique « Chroniques de Jérusalem », paru en 2011 et lauréat du Fauve d'or en 2012 (prix du meilleur album du festival de bande dessinée d'Angoulême) et de retranscrire les représentations urbaines de l'œuvre pa...
This study examines the relationship between women directors and the cost of equity (COE). Investigating the French firm’s sample, we find a significant negative effect of women directors on the cost of equity. Our results also document that the effect of women directors on reducing the cost of equity is significant for firms that have a critical m...
National audience
In this manuscript we propose an algorithm 1 for unsupervised classification of PolSAR data, on the 2 manifold of Hermitian positive definite matrices obtained 3 from the polar decomposition of the scattering matrix. The 4 method uses a geodetic metric for evaluating similarity of 5 Hermitian matrices and performs unsupervised classifica-6 tion for...
Environmental fluctuations such as increased temperature, water availability, and air CO2 concentration triggered by climate change influence plant disease dynamics by affecting hosts, pathogens, and their interactions. Here, we describe a newly discovered Pseudomonas syringae strain found in a natural population of Arabidopsis thaliana collected f...
Table ronde Présidente de séance : Alicja Jaworska-Kaska (CCFEF)Participants : Anna Ciostek (Institut d’études romanes de l’Université de Varsovie)Nicolas Froeliger (Université Paris Cité, CLILLAC-ARP-URP 3967)Wojciech Gilewski (traducteur, interprète)Amélie Josselin-Leray (Université Toulouse Jean Jaurès, CCLE-UMR 5263)Enrico Monti (Université de ...
High dimension, low sample size (HDLSS) problems are numerous among real-world applications of machine learning. From medical images to text processing, traditional machine learning algorithms are usually unsuccessful in learning the best possible concept from such data. In a previous work, we proposed a dissimilarity-based approach for multi-view ...
Wearable trackers are believed to enhance users’ self-knowledge, but their impact on the relationship that people have with their own bodies is relatively unexplored. This study aims to shed light on the potential of physiological data collected by a commercial wearable activity tracker to influence how users relate with their own bodies, specifica...