Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mathieu Hu"'
Autor:
Ruxandra Calin, Claire Périllaud-Dubois, Stéphane Marot, Khaldoun Kerrou, Gilles Peytavin, Marwa Bachir, Anne Laure Kirch, Ludovic Lassel, Vincent Fallet, Joel Gozlan, Jean Baptiste Pain, Patricia Senet, Olivier Ferraris, Sébastien Bine, Mathieu Hubert, Olivier Schwartz, Laurence Morand-Joubert, Gilles Pialoux
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 11, Pp 2445-2447 (2024)
We report a case of persistent disseminated mpox evolving over >6 months in an HIV/hepatitis B virus co-infected patient in France who had
Externí odkaz:
https://doaj.org/article/ab473971bd8142e1943bd897a47bb0a8
Autor:
Delphine Planas, Isabelle Staropoli, Vincent Michel, Frederic Lemoine, Flora Donati, Matthieu Prot, Francoise Porrot, Florence Guivel-Benhassine, Banujaa Jeyarajah, Angela Brisebarre, Océane Dehan, Léa Avon, William Henry Bolland, Mathieu Hubert, Julian Buchrieser, Thibault Vanhoucke, Pierre Rosenbaum, David Veyer, Hélène Péré, Bruno Lina, Sophie Trouillet-Assant, Laurent Hocqueloux, Thierry Prazuck, Etienne Simon-Loriere, Olivier Schwartz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract The unceasing circulation of SARS-CoV-2 leads to the continuous emergence of novel viral sublineages. Here, we isolate and characterize XBB.1, XBB.1.5, XBB.1.9.1, XBB.1.16.1, EG.5.1.1, EG.5.1.3, XBF, BA.2.86.1 and JN.1 variants, representing
Externí odkaz:
https://doaj.org/article/8234f50bbc5043a1a52a4adceb8cfad0
Autor:
Ariel Frank, Emmanuel Vincent, Fabian-Robert Stöter, Mathieu Hu, Joris Cosentino, Manuel Pariente, Samuele Cornell, Sunit Sivasankaran, David Ditter, Efthymios Tzinis, Juan M. Martín-Doñas, Antoine Deleforge, Michel Olvera, Jens Heitkaemper
Publikováno v:
Interspeech 2020
Interspeech 2020, Oct 2020, Shanghai, China
INTERSPEECH
Interspeech 2020, Oct 2020, Shanghai, China
INTERSPEECH
This paper describes Asteroid, the PyTorch-based audio source separation toolkit for researchers. Inspired by the most successful neural source separation systems, it provides all neural building blocks required to build such a system. To improve rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7bd860f867da876db8feffc5d8aa9bd
https://inria.hal.science/hal-02962964/document
https://inria.hal.science/hal-02962964/document
Autor:
Simon Doclo, Toon van Waterschoot, Patrick A. Naylor, Dushyant Sharma, Mike Brookes, Mathieu Hu, Pablo Peso Parada
Publikováno v:
WASPAA
Speaker diarization has gained much importance over the past five years in helping overcome key challenges faced by automatic meeting transcription systems. Current state-of-the-art algorithms can only utilize spatial information when multi-microphon
Publikováno v:
ICASSP
In this paper, we present a novel speaker change detection and speaker diarization algorithm using spatial information in the form of features derived from estimated Room Impulse Response (RIR)s. A blind system identification approach is used to obta
Autor:
Jim Zoladek, Julien Burlaud-Gaillard, Maxime Chazal, Sophie Desgraupes, Patricia Jeannin, Antoine Gessain, Nathalie Pardigon, Mathieu Hubert, Philippe Roingeard, Nolwenn Jouvenet, Philippe V. Afonso
Publikováno v:
Microbiology Spectrum, Vol 10, Iss 5 (2022)
ABSTRACT Zika virus (ZIKV) is a mosquito-borne flavivirus that emerged in the Pacific islands in 2007 and spread to the Americas in 2015. The infection remains asymptomatic in most cases but can be associated with severe neurological disorders. Despi
Externí odkaz:
https://doaj.org/article/1f981db521e8490bb3322c0d8de4783b
The FDA-approved drug Auranofin has a dual inhibitory effect on SARS-CoV-2 entry and NF-κB signaling
Autor:
Emmanuel Laplantine, Christine Chable-Bessia, Anne Oudin, Jitendryia Swain, Adèle Soria, Peggy Merida, Manon Gourdelier, Sarra Mestiri, Indira Besseghe, Erwan Bremaud, Aymeric Neyret, Sebastien Lyonnais, Cyril Favard, Philippe Benaroch, Mathieu Hubert, Olivier Schwartz, Maryse Guerin, Anne Danckaert, Elaine Del Nery, Delphine Muriaux, Robert Weil
Publikováno v:
iScience, Vol 25, Iss 10, Pp 105066- (2022)
Summary: Patients with severe COVID-19 show an altered immune response that fails to control the viral spread and suffer from exacerbated inflammatory response, which eventually can lead to death. A major challenge is to develop an effective treatmen
Externí odkaz:
https://doaj.org/article/b6e838e482d64a02b2c8d86937fd4c8f
Autor:
Rémy Robinot, Mathieu Hubert, Guilherme Dias de Melo, Françoise Lazarini, Timothée Bruel, Nikaïa Smith, Sylvain Levallois, Florence Larrous, Julien Fernandes, Stacy Gellenoncourt, Stéphane Rigaud, Olivier Gorgette, Catherine Thouvenot, Céline Trébeau, Adeline Mallet, Guillaume Duménil, Samy Gobaa, Raphaël Etournay, Pierre-Marie Lledo, Marc Lecuit, Hervé Bourhy, Darragh Duffy, Vincent Michel, Olivier Schwartz, Lisa A. Chakrabarti
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
SARS-CoV-2 infection damages the airways. Here the authors show that SARS-CoV-2 infection induces the rapid loss of airway motile cilia, resulting in altered cilia clearance function. Cilia loss is preceded by reduced expression of the ciliogenesis r
Externí odkaz:
https://doaj.org/article/8bf151f6060345a3ae7b514eb9de5a9b
Publikováno v:
Logical Methods in Computer Science, Vol Volume 18, Issue 1 (2022)
We present semantic correctness proofs of automatic differentiation (AD). We consider a forward-mode AD method on a higher order language with algebraic data types, and we characterise it as the unique structure preserving macro given a choice of der
Externí odkaz:
https://doaj.org/article/af515ea4f90e4e69bcbae741eee4e752
Autor:
Mathieu Huot, Sam Staton
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 287, Iss Proc. QPL 2018, Pp 213-223 (2019)
We argue that notions in quantum theory should have universal properties in the sense of category theory. We consider the completely positive trace preserving (CPTP) maps, the basic notion of quantum channel. Physically, quantum channels are derived
Externí odkaz:
https://doaj.org/article/8e7dfc750ca0434f9e4876e1a681b774