Publications associées à Big Data of the Past

Publications associées (31)

The autism susceptibility kinase, TAOK2, phosphorylates eEF2 and modulates translation

Genes implicated in translation control have been associated with autism spectrum disorders (ASDs). However, some important genetic causes of autism, including the 16p11.2 microdeletion, bear no obvious connection to translation. Here, we use proteomics, g ...

Amer Assoc Advancement Science2024

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

Hatef Otroshi Shahreza, Alexander Carl Unnervik, Parsa Rahimi Noshanagh

This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases and standard experimental protoc ...

Elsevier2024

«Novye idei» i disciplinarnye tradicii: perevodcheskie i publikatorskie strategii izdatel'stva «Obrazovanie» v 1910–1920-e gody

Alexander Dmitriev

The subject of the article is the history of popular and authoritative series of St. Petersburg publishing house “Obrazovanie” (1909-1928), which on the eve of the First World War played an important role in Russia in the restructuring of key disciplines o ...

2024

Multi-task learning for medical foundation models

Jiancheng Yang

To address the challenge of pretraining foundational models with large datasets, a multi-task approach is proposed, thus helping to overcome the data scarcity problem in biomedical imaging. ...

SPRINGERNATURE2024

Residual-based attention in physics-informed neural networks

Nikolaos Stergiopoulos, Sokratis Anagnostopoulos

Driven by the need for more efficient and seamless integration of physical models and data, physics -informed neural networks (PINNs) have seen a surge of interest in recent years. However, ensuring the reliability of their convergence and accuracy remains ...

Elsevier Science Sa2024

A Rapid Translational Immune Response Program in CD8 Memory T Lymphocytes

Linlin Cao

The activation of memory T cells is a very rapid and concerted cellular response that requires coordination between cellular processes in different compartments and on different time scales. In this study, we use ribosome profiling and deep RNA sequencing ...

American Association of Immunologists ; Oxford University Press2022

V-ATPase/TORC1-mediated ATFS-1 translation directs mitochondrial UPR activation in C. elegans

Johan Auwerx, Kristina Schoonjans, Felix Naef, Xiaoxu Li, Yang Li, Hao Li, Jia Liu, Yan Liu, Wen Gao, Amélia Lalou, Nagammal Neelagandan

To adapt mitochondrial function to the ever-changing intra- and extracellular environment, multiple mitochondrial stress response (MSR) pathways, including the mitochondrial unfolded protein response (UPRmt), have evolved. However, how the mitochondrial st ...

Rockefeller University Press2022

Overcoming decision paralysis—A digital twin for decision making in energy system design

François Maréchal, Julia Granacher, Tuong-Van Nguyen

The design of efficient energy systems, through the development of new technologies and the improvement of current ones, requires the use of rigorous process synthesis methods for generating and analysing design alternatives. We introduce a digital twin of ...

2022

Improved framework to estimate travel time and derived distributions in hydrological control volumes

Mitra Asadollahi

Crossing properties of soil saturation, defined as the duration and excursion of soil saturation below and above certain thresholds, are key variables to ecosystem functioning and evolution by primarily influencing the plant and soil microbes physiological ...

EPFL2022

BMAT: An open-source BIDS managing and analysis tool

Meritxell Bach Cuadra, Francesco La Rosa

Magnetic Resonance Imaging (MRI) is an established technique to study in vivo neurological disorders such as Multiple Sclerosis (MS). To avoid errors on MRI data organization and automated processing, a standard called Brain Imaging Data Structure (BIDS) h ...

ELSEVIER SCI LTD2022

Dipole polarizability of time-varying particles

Romain Christophe Rémy Fleury, Theodoros Koutserimpas, Mohammad Sajjad Mirmoosa

Invariance under time translation (or stationarity) is probably one of the most important assumptions made when investigating electromagnetic phenomena. Breaking this assumption is expected to open up novel possibilities and result in exceeding conventiona ...

2022

Detecting Latent Training Needs Using Large Datasets

Ramtin Yazdanian

In today's world, there is no shortage of disruptors acting on various professional domains. The Fourth Industrial Revolution, with its AI-driven and automation-focused technologies, has fundamentally changed many domains -- particularly the Information an ...

EPFL2022

On the ‘cultural transfer’ of modern architecture northwards - Akzeptiere: Das Buch und seine Geschichte

Chiara Monterumisi

"Akzeptiere: Das Buch und seine Geschichte" is the latest in-depth contribution by Atli Magnus Seelow, one of several by him on the 1930 Stockholm exhibition and the book accepetera, the 200-page text often referred to as ‘the manifesto of Swedish function ...

2021

System for planning and/or providing neuromodulation

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

The present invention relates to systems and methods for planning and/or providing neuromodulation One example system includesa stimulation related basic data storage module for storing stimulation related basic data,a stimulation related response data sto ...

2021

Dense Image-based Predictions for Comics Analysis

Deblina Bhattacharjee

Dense image-based prediction methods have advanced tremendously in recent years. Their remarkable development has been possible due to the ample availability of real-world imagery. While these methods work well on photographs, their abilities do not genera ...

EPFL2023

Discourse Phenomena in Machine Translation

Lesly Sadiht Miculicich Werlen

Machine Translation (MT) has made considerable progress in the past two decades, particularly after the introduction of neural network models (NMT). During this time, the research community has mostly focused on modeling and evaluating MT systems at the se ...

EPFL2021

Transformer Models for Vision

Jean-Baptiste Francis Marie Juliette Cordonnier

The recent developments of deep learning cover a wide variety of tasks such as image classification, text translation, playing go, and folding proteins. All these successful methods depend on a gradient-based learning algorithm to train a model on massive ...

EPFL2023

Organic semiconductors for light-mediated neuromodulation

Diego Ghezzi, Danashi Imani Medagoda

There is growing interest in organic semiconductor devices for light-mediated neuromodulation, such as for retinal stimulation. Here, the key working principles of these devices are discussed, as well as promising applications and outstanding challenges fo ...

SPRINGERNATURE2021

Opportunities, Challenges, and Pitfalls in Making, Characterizing, and Understanding Polymer Brushes

Harm-Anton Klok

Polymer brushes have been theoretically described, their behavior under diverse conditions has been modeled, and their preparation via surface-initiated polymerizations (SIPs) has been progressively refined. However, despite three decades of research endea ...

American Chemical Society2023

Towards an artificial cell: Development of a system which self-regenerates the protein components of the PURE system in microfluidic reactors

Barbora Lavickova

Thanks to recent advancements in synthetic biology, the dream of creating a synthetic cell has become feasible. However, due to its inherent complexity, one of the fundamental functions of all living systems, i.e., self-replication, remains to be introduce ...

EPFL2021