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- Centre National de la Recherche ScientifiqueFR176 papers
- European Organization for Nuclear ResearchCH169 papers
- ETH ZurichCH167 papers
- Institute for Theoretical and Experimental PhysicsRU160 papers
- Tata Institute of Fundamental ResearchIN152 papers
- Princeton UniversityUS150 papers
- University of GenevaCH144 papers
- University of BolognaIT141 papers
- University of FlorenceIT139 papers
- Institute of High Energy PhysicsCN136 papers
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- Kyungpook National UniversityKR132 papers
36 papers · 1 filter
PET CMR mapping and H MRS show altered glucose uptake and neurometabolic profiles in BDL rats
Jessie Mosso, Ting Yin, Carole Poitry-Yamate +6
Type C hepatic encephalopathy (HE) is a complex neuropsychiatric disorder occurring as a consequence of chronic liver disease. Alterations in energy metabolism have been suggested…
Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes
Juan Rodriguez-Rivas, Giancarlo Croce, Maureen Muscat +1
The emergence of new variants of SARS-CoV-2 is a major concern given their potential impact on the transmissibility and pathogenicity of the virus as well as the efficacy of therap…
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
Elisabetta De Giovanni, Tomas Teijeiro, Grégoire P. Millet +1
Objective: Continuous monitoring of biosignals via wearable sensors has quickly expanded in the medical and wellness fields. At rest, automatic detection of vital parameters is gen…
Monte Carlo calculation of organ and effective dose rates from ground contaminated by Am 241: Results of an international intercomparison exercise
J Eakins, C Huet, H Brkić +12
An intercomparison exercise is described that examines Monte Carlo modelling of anthropomorphic voxel phantoms in an idealized ground-contamination photon exposure scenario. Thirte…
Deep Learning Based Cloud Cover Parameterization for ICON
Arthur Grundner, Tom Beucler, Pierre Gentine +3
A promising approach to improve cloud parameterizations within climate models and thus climate projections is to use deep learning in combination with training data from storm-reso…
Causality in extremes of time series
Juraj Bodik, Zbyněk Pawlas, Milan Paluš
Consider two stationary time series with heavy-tailed marginal distributions. We aim to detect whether they have a causal relation, that is, if a change in one causes a change in t…