Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Hannart, A."'
Autor:
Bauwens, Emilie, Parée, Tom, Meurant, Sébastien, Bouriez, Inès, Hannart, Clotilde, Wéra, Anne-Catherine, Khelfi, Alexis, Fattaccioli, Antoine, Burteau, Sophie, Demazy, Catherine, Fransolet, Maude, De Schutter, Clémentine, Martin, Nathalie, Théry, Julien, Decanter, Gauthier, Penel, Nicolas, Bury, Marina, Pluquet, Olivier, Garmyn, Marjan, Debacq-Chainiaux, Florence
Publikováno v:
In Journal of Investigative Dermatology April 2023 143(4):554-565
Autor:
Héloïse Hannart, Audrey Berger, Luc Aeberli, David Forchelet, Nicolas Uffer, Georges Muller, Yann Barrandon, Philippe Renaud, David Bonzon
Publikováno v:
SLAS Technology, Vol 27, Iss 2, Pp 121-129 (2022)
Single-cell isolation is a truly transformative tool for the understanding of biological systems. It allows single-cell molecular analyses and considers the heterogeneity of cell populations, which is of particular relevance for the diagnosis and tre
Externí odkaz:
https://doaj.org/article/9e3b7e4380284dcf9bd1c4fd427896b5
Autor:
Hannart, Héloïse, Berger, Audrey, Aeberli, Luc, Forchelet, David, Uffer, Nicolas, Muller, Georges, Barrandon, Yann, Renaud, Philippe, Bonzon, David
Publikováno v:
In SLAS Technology April 2022 27(2):121-129
Autor:
Hannart, Alexis, Naveau, Philippe
Multiple changes in Earth's climate system have been observed over the past decades. Determining how likely each of these changes are to have been caused by human influence, is important for decision making on mitigation and adaptation policy. Here w
Externí odkaz:
http://arxiv.org/abs/1712.00063
IIn recent years, there has been a growing interest in applying data assimilation (DA) methods, originally designed for state estimation, to the model selection problem. In this setting, Carrassi et al. (2017) introduced the contextual formulation of
Externí odkaz:
http://arxiv.org/abs/1709.06635
Autor:
A. J. Winkler, R. B. Myneni, A. Hannart, S. Sitch, V. Haverd, D. Lombardozzi, V. K. Arora, J. Pongratz, J. E. M. S. Nabel, D. S. Goll, E. Kato, H. Tian, A. Arneth, P. Friedlingstein, A. K. Jain, S. Zaehle, V. Brovkin
Publikováno v:
Biogeosciences, Vol 18, Pp 4985-5010 (2021)
Satellite data reveal widespread changes in Earth's vegetation cover. Regions intensively attended to by humans are mostly greening due to land management. Natural vegetation, on the other hand, is exhibiting patterns of both greening and browning in
Externí odkaz:
https://doaj.org/article/b378c1eae6864aa48715197aa137054a
We review the field of data assimilation (DA) from a Bayesian perspective and show that, in addition to its by now common application to state estimation, DA may be used for model selection. An important special case of the latter is the discriminati
Externí odkaz:
http://arxiv.org/abs/1605.01526
Autor:
Rafaël Weissbrodt, Bozica Krsmanovic, Stéphanie Hannart-Oppliger, Typhaine Maïko Juvet, Sandrine Corbaz-Kurth, Pauline Roos
Publikováno v:
Science of Nursing and Health Practices, Vol 5, Iss Supplément (2022)
Introduction : Il est crucial que les institutions sanitaires développent des plans de contingence pour affronter les conséquences du réchauffement climatique (RC) menaçant sévèrement la santé publique ; or, peu d’actions sont engagées par
Externí odkaz:
https://doaj.org/article/b2459e47c30242639a00294877896d59
Autor:
Hannart, Alexis, Carrassi, Alberto, Bocquet, Marc, Ghil, Michael, Naveau, Philippe, Pulido, Manuel, Ruiz, Juan, Tandeo, Pierre
We describe a new approach allowing for systematic causal attribution of weather and climate-related events, in near-real time. The method is purposely designed to facilitate its implementation at meteorological centers by relying on data treatments
Externí odkaz:
http://arxiv.org/abs/1503.05236
Autor:
A. Hannart
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 5, Pp 161-171 (2019)
An important goal of climate research is to determine the causal contribution of human activity to observed changes in the climate system. Methodologically speaking, most climatic causal studies to date have been formulating attribution as a linear r
Externí odkaz:
https://doaj.org/article/d356a20f54b948e790e73bba350e2d48