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Related publications (28)

The Effect of Thiol Structure on Allyl Sulfide Photodegradable Hydrogels and their Application as a Degradable Scaffold for Organoid Passaging

Matthias Lütolf, Nikolche Gjorevski

Intestinal organoids are useful in vitro models for basic and translational studies aimed at understanding and treating disease. However, their routine culture relies on animal-derived matrices that limit translation to clinical applications. In fact, ther ...

Wiley-V C H Verlag Gmbh2020

Robust landscapes of ribosome dwell times and aminoacyl-tRNAs in response to nutrient stress in liver

Felix Naef, Cédric Gobet, Frédéric Bruno Martin Gachon, Benjamin Dieter Weger, Nagammal Neelagandan

Translation depends on messenger RNA (mRNA)-specific initiation, elongation, and termination rates. While translation elongation is well studied in bacteria and yeast, less is known in higher eukaryotes. Here we combined ribosome and transfer RNA (tRNA) pr ...

National Academy of Sciences2020

A system for planning and/or providing neuromodulation

Grégoire Courtine, Vincent Delattre, Marco Capogrosso, Fabien Bertrand Paul Wagner, Karen Minassian

The present invention relates to a system for planning and/or providing neuromodulation (10), especially neurostimulation, comprising: - first data input module (26) for stimulation related basic data, - a stimulation related basic data storage module (28) ...

2019

A system for planning and/or providing neuromodulation

Grégoire Courtine, Vincent Delattre, Marco Capogrosso, Fabien Bertrand Paul Wagner, Karen Minassian

The present invention relates to a system for planning and/or providing neuromodulation (10), especially neurostimulation, comprising - a stimulation related basic data storage module (28) for storing the stimulation related basic data, - a stimulation rel ...

2019

Recovering covariance from functional fragments

Victor Panaretos, Marie-Hélène Descary

We consider nonparametric estimation of a covariance function on the unit square, given a sample of discretely observed fragments of functional data. When each sample path is observed only on a subinterval of length , one has no statistical information on ...

2019

Adaptive learning for disruption prediction in non-stationary conditions

Olivier Sauter, Ambrogio Fasoli, Yiming Li, Basil Duval, Jonathan Graves, Duccio Testa, Patrick Blanchard, Henri Weisen, Yann Camenen, Alessandro Pau, Federico Alberto Alfredo Felici, Federico Nespoli, Hamish William Patten, Cristian Sommariva, Antoine Pierre Emmanuel Alexis Merle, Haomin Sun, Michele Marin, Richard Pitts, Jan Horacek, Javier García Hernández, Marco Wischmeier, Nicola Vianello, Mikhail Maslov, Yao Zhou, Davide Galassi, Antonio José Pereira de Figueiredo, Samuel Lanthaler, Emiliano Fable, Francesca Maria Poli, Daniele Brunetti, Anna Teplukhina, Alberto Mariani, Kenji Tanaka, Bernhard Sieglin, Otto Asunta, Gergely Papp, Leonardo Pigatto

For many years, machine learning tools have proved to be very powerful disruption predictors in tokamaks. On the other hand, the vast majority of the techniques deployed assume that the input data is independent and is sampled from exactly the same probabi ...

2019

Word Sense Consistency in Statistical and Neural Machine Translation

Xiao Pu

Different senses of source words must often be rendered by different words in the target language when performing machine translation (MT). Selecting the correct translation of polysemous words can be done based on the contexts of use. However, state-of-th ...

EPFL2018

The SUMMA Platform Prototype

Hervé Bourlard, Andrei Popescu-Belis, Philip Neil Garner, Nikolaos Pappas, Sibo Tong, Yang Wang, Ahmed Ali, Steve Renals, Lesly Sadiht Miculicich Werlen, Marco Damonte, Hassan Sajjad

We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadca ...

Association for Computational Linguistics2017

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