Zobrazeno 1 - 10
of 714
pro vyhledávání: '"P. Ménager"'
Autor:
Gustafsson, Ove Johan Ragnar, Wilkinson, Sean R., Bacall, Finn, Pireddu, Luca, Soiland-Reyes, Stian, Leo, Simone, Owen, Stuart, Juty, Nick, Fernández, José M., Grüning, Björn, Brown, Tom, Ménager, Hervé, Capella-Gutierrez, Salvador, Coppens, Frederik, Goble, Carole
The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing steps, wo
Externí odkaz:
http://arxiv.org/abs/2410.06941
Autor:
Ménager, Etienne, Duriez, Christian
Publikováno v:
IEEE International Conference on Soft Robotics (RoboSoft), IEEE, Apr 2024, San Diego (CA), United States
The ability of a soft robot to perform specific tasks is determined by its contact configuration, and transitioning between configurations is often necessary to reach a desired position or manipulate an object. Based on this observation, we propose a
Externí odkaz:
http://arxiv.org/abs/2402.13649
Soft robots are naturally designed to perform safe interactions with their environment, like locomotion and manipulation. In the literature, there are now many concepts, often bio-inspired, to propose new modes of locomotion or grasping. However, a m
Externí odkaz:
http://arxiv.org/abs/2310.17029
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA)
The Finite Element Method (FEM) is a powerful modeling tool for predicting the behavior of soft robots. However, its use for control can be difficult for non-specialists of numerical computation: it requires an optimization of the computation to make
Externí odkaz:
http://arxiv.org/abs/2307.11408
Autor:
Kent, Jonathan S., Menager, David H.
Publikováno v:
Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 1252915 (13 June 2023)
Using Machine Learning systems in the real world can often be problematic, with inexplicable black-box models, the assumed certainty of imperfect measurements, or providing a single classification instead of a probability distribution. This paper int
Externí odkaz:
http://arxiv.org/abs/2206.12252
Autor:
Yuka Suzuki, Hervé Ménager, Bryan Brancotte, Raphaël Vernet, Cyril Nerin, Christophe Boetto, Antoine Auvergne, Christophe Linhard, Rachel Torchet, Pierre Lechat, Lucie Troubat, Michael H. Cho, Emmanuelle Bouzigon, Hugues Aschard, Hanna Julienne
Publikováno v:
HGG Advances, Vol 5, Iss 3, Pp 100319- (2024)
Summary: Since the first genome-wide association studies (GWASs), thousands of variant-trait associations have been discovered. However, comprehensively mapping the genetic determinant of complex traits through univariate testing can require prohibit
Externí odkaz:
https://doaj.org/article/a4dbb25453d64cee9640add760970ad8
Autor:
Olivier Kosmider, Céline Possémé, Marie Templé, Aurélien Corneau, Francesco Carbone, Eugénie Duroyon, Paul Breillat, Twinu-Wilson Chirayath, Bénédicte Oules, Pierre Sohier, Marine Luka, Camille Gobeaux, Estibaliz Lazaro, Roderau Outh, Guillaume Le Guenno, François Lifermann, Marie Berleur, Melchior Le Mene, Chloé Friedrich, Cédric Lenormand, Thierry Weitten, Vivien Guillotin, Barbara Burroni, Jeremy Boussier, Lise Willems, Selim Aractingi, Léa Dionet, Pierre-Louis Tharaux, Béatrice Vergier, Pierre Raynaud, Hang-Korng Ea, Mickael Ménager, Darragh Duffy, Benjamin Terrier
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Acquired mutations in the UBA1 gene were recently identified in patients with severe adult-onset auto-inflammatory syndrome called VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic). However, the precise physiological and clini
Externí odkaz:
https://doaj.org/article/1c0de64cb1ab4953a41137e4248834bd
Autor:
Vincent Sapin, Javier de la Cruz, Alfonso Lagares, Odile Mejan, Vladislav Pavlov, François Dubos, Christèle Gras-Le-Guen, Anne Chauvire-Drouard, Fleur Lorton, María Antonia Poca, Thibault de Groc, Belén Rivero, Rocío Rodrigo, Peter Biberthaler, Noelia Montoya, Paula Duch, Aasma Sahuquillo, Pauline Scherdel, Markus Lehner, Lydie Abaléa, Aymeric Cantais, Véronique Chasle, Marie-Amélie Chêne, Béatrice De Pracontal, Alban Laspougeas, Ophélia Le Gentil, Hélène Liénard, Juliette Massot, Cédric Ménager, Sidney Passat, Nadia Savy, Gaelle Tourniaire, Serafín Alonso, Eva Andreu, Montserrat Feliu, Sandra Galve, Francisca Munar, Cristina Muro, Elena Vilardell, Iván Valverde, Sonia Cañadas, Sebastià González, Esther Lera, Olalla Rodríguez, Mónica Sancosmed, Núria Wörner, Pablo Martín Munarriz, Javier Saceda, Hannah Luz
Publikováno v:
BMJ Open, Vol 14, Iss 5 (2024)
Introduction In light of the burden of traumatic brain injury (TBI) in children and the excessive number of unnecessary CT scans still being performed, new strategies are needed to limit their use while minimising the risk of delayed diagnosis of int
Externí odkaz:
https://doaj.org/article/4194c940386b4948bfee80e3a4507528
Autor:
Crusoe, Michael R., Abeln, Sanne, Iosup, Alexandru, Amstutz, Peter, Chilton, John, Tijanić, Nebojša, Ménager, Hervé, Soiland-Reyes, Stian, Gavrilovic, Bogdan, Goble, Carole
Publikováno v:
Commun. ACM 65 (2022) 54-63
Computational Workflows are widely used in data analysis, enabling innovation and decision-making. In many domains (bioinformatics, image analysis, & radio astronomy) the analysis components are numerous and written in multiple different computer lan
Externí odkaz:
http://arxiv.org/abs/2105.07028
Autor:
Galtarossa, F., Pierens, M., Assié, M., Delpech, V., Galet, F., Saugnac, H., Brugnara, D., Ramos, D., Beaumel, D., Blache, P., Chabot, M., Chatelet, F., Clément, E., Flavigny, F., Giret, A., Gottardo, A., Goupil, J., Lemasson, A., Matta, A., Ménager, L., Rindel, E.
Direct nuclear reactions with radioactive ion beams represent an extremely powerful tool to extend the study of fundamental nuclear properties far from stability. These measurements require pure and dense targets to cope with the low beam intensities
Externí odkaz:
http://arxiv.org/abs/2105.06279