Zobrazeno 1 - 10
of 179 586
pro vyhledávání: '"Laroche AS"'
Autor:
Rhéaume, Isabelle
Publikováno v:
Quebec Entreprise. 2024, Vol. 72, p77-81. 5p.
Autor:
Del Rossi, Sara
Publikováno v:
Dalhousie French Studies, 2020 Jul 01. 116, 127-137.
Externí odkaz:
https://www.jstor.org/stable/45294620
Autor:
SAMOURCACHIAN, ELISA
Publikováno v:
Stratégies. 10/17/2024, Issue 2236, p32-33. 2p.
Autor:
DE ROCHEGONDE, AMAURY, MOYNOT, AMÉLIE
Publikováno v:
Stratégies. 6/20/2024, Issue 2223, p34-35. 2p.
Autor:
Zheng, Mingyang, Makaju, Rebika, Gazizulin, Rasul, Levchenko, Alex, Addamane, Sadhvikas J., Laroche, Dominique
One-dimensional Coulomb drag has been an essential tool to probe the physics of interacting Tomonaga-Luttinger liquids. To date, most experimental work has focused on the linear regime while the predictions for Luttinger liquids beyond the linear res
Externí odkaz:
http://arxiv.org/abs/2410.17569
Autor:
Eurídice Figueiredo
Publikováno v:
Revista Criação & Crítica, Iss 32 (2022)
Nesta entrevista, realizada em 1981, Eurídice Figueiredo e Maximilien Laroche conversam com o escritor haitiano René Depestre sobre sua obra. A entrevista foi traduzida para este número de Criação & Crítica.
Externí odkaz:
https://doaj.org/article/e1d5b4cc2b884ea895a228484c98214b
Autor:
SALI, DAVID
Publikováno v:
Ottawa Business Journal. 06/01/2024, p87.
Autor:
Coudron, Frédéric
Le'pilote'des aventures lilloises de l'inspecteur Calderon!L'inspecteur Calderon est un flic complexe, anti-héros et serviteur dévoué de l'idée qu'il se fait de la justice, lucide et paumé, drogué, alcoolique et pourtant accrocheur...Dans ce «
Coulomb drag is a powerful tool to study interactions in coupled low-dimensional systems. Historically, Coulomb drag has been attributed to a frictional force arising from momentum transfer whose direction is dictated by the current flow. However rec
Externí odkaz:
http://arxiv.org/abs/2408.12737
Publikováno v:
Proceedings of Interspeech 2024
As speech processing systems in mobile and edge devices become more commonplace, the demand for unintrusive speech quality monitoring increases. Deep learning methods provide high-quality estimates of objective and subjective speech quality metrics.
Externí odkaz:
http://arxiv.org/abs/2407.04578