Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Yves Louis"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 523-525 (2024)
Externí odkaz:
https://doaj.org/article/3eb6084539a24f118d4f3fac855bb4e5
Publikováno v:
Frontiers in Neuroscience, Vol 7 (2013)
Abundant evidences have shown that ghrelin, by its binding to GHS-R1a, plays an important role for fundamental physiological functions. Increasing attention is given to the GHS-R1a unusually high constitutive activity and its contribution to downstre
Externí odkaz:
https://doaj.org/article/4a87fa3283264daf841cf7c2701b24e0
Autor:
Jean-François Toussaint, Quentin De Larochelambert, Juliana da Silva Antero, Imad Hamri, Tom Chassard, Alice Meignié, Florent Storme, Marine Dupuit, Allison Diry, Pierre Yves Louis, Nicolas Coulmy
Publikováno v:
BMJ Open Sport & Exercise Medicine, Vol 10, Iss 2 (2024)
Objectives Develop the Markov Index Load State (MILS) model, based on hidden Markov chains, to assess athletes’ workload responses and investigate the effects of menstrual cycle (MC)/oral contraception (OC), sex steroids hormones and wellness on el
Externí odkaz:
https://doaj.org/article/d3b7c1de59ec4c7692a08642c1429285
Autor:
Irena Hajnsek, Yves-Louis Desnos
This open access book focuses on the practical application of electromagnetic polarimetry principles in Earth remote sensing with an educational purpose. In the last decade, the operations from fully polarimetric synthetic aperture radar such as the
Autor:
Quentin De Larochelambert, Kilian Barlier, Imad Hamri, Audrey Difernand, Adrien Sedeaud, Jean François Toussaint, Juliana Antero, Pierre-Yves Louis, Nicolas Coulmy
Publikováno v:
Frontiers in Physiology, Vol 13 (2023)
Estimating the potential of alpine skiers is an unresolved question, especially because of the complexity of sports performance. We developed a potential estimation model based solely on the evolution of performance as a function of age. A bayesian m
Externí odkaz:
https://doaj.org/article/a38fedc556294c328f1385c555a85c74
Autor:
Sadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu
Publikováno v:
Patterns, Vol 3, Iss 5, Pp 100491- (2022)
Summary: Machine-learning-based materials property prediction models have emerged as a promising approach for new materials discovery, among which the graph neural networks (GNNs) have shown the best performance due to their capability to learn high-
Externí odkaz:
https://doaj.org/article/f6b671582e3a4ea998b3f9649ccb956e
Akademický článek
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Akademický článek
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Publikováno v:
Stochastic Processes and their Applications. 158:342-360
We complete the study of the model introduced in [11]. It is a two-color urn model with multiple drawing and random (non-balanced) time-dependent reinforcement matrix. The number of sampled balls at each time-step is random. We identify the exact rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ffd08da0a1c90d5ce364b015cd738de
https://doi.org/10.1016/j.spa.2022.12.012
https://doi.org/10.1016/j.spa.2022.12.012
Autor:
Arnalsteen, Laurent, Caizzo, Robert, Carnaille, Bruno, Dezfoulian, Guelareh, Eberle, Carole, El Khatib, Ziad, Fernandez, Emmanuel, Lamblin, Antoine, Pattou, François, Six, Marie-France, Bourdy, Stéphanie, Bouveret, Laetitia, Colin, Cyrille, Duclos, Antoine, Guibert, Benoît, Le Pogam, Marie-Annick, Lifante, Jean-Christophe, Peix, Jean-Louis, Singier, Gaétan, Soardo, Pietro, Touzet, Sandrine, Voirin, Nicolas, Auquier, Pascal, Henry, Jean-François, Morando, Claire, Sebag, Frédéric, Van Slycke, Sam, Akrout, Inès, Benmiloud, Fares, Chigot, Jean-Paul, Colombet, Isabelle, Godiris-Petit, Gaëlle, Leyre, Pierre, Ménégaux, Fabrice, Noullet, Séverine, Royer, Benoît, Tresallet, Christophe, Desurmont, Thibault, Dominguez, Claudia, Kraimps, Jean-Louis, Odasso, Chiara, Rouleau, Laetitia, Chapuis, Yves-Louis, Durieux, Pierre, Lepape, Alain, Triponez, Frédéric, Payet, Cécile
Publikováno v:
In Surgery January 2017 161(1):156-165