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Pinning down the accuracy of physics-informed neural networks under laminar and turbulent-like aortic blood flow conditions.
Comput Biol Med
December 2024
Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, M5B 2K3, Canada. Electronic address:
Background: Physics-informed neural networks (PINNs) are increasingly being used to model cardiovascular blood flow. The accuracy of PINNs is dependent on flow complexity and could deteriorate in the presence of highly-dynamical blood flow conditions, but the extent of this relationship is currently unknown. Therefore, we investigated the accuracy and performance of PINNs under a range of blood flow conditions, from laminar to turbulent-like flows.
View Article and Find Full Text PDFCalcium signaling in hypoxic response.
Plant Physiol
December 2024
Department of Botany, University of Wisconsin-Madison, Birge Hall, 430 Lincoln Drive, Madison, WI 53706.
Plants can experience a lack of oxygen due to environmental conditions such as flooding events or intense microbial blooms in the soil, and from their own metabolic activities. The associated limit on aerobic respiration can be fatal. Therefore, plants have evolved sensing systems that monitor oxygen levels and trigger a suite of metabolic, physiological and developmental responses to endure, or potentially escape, these oxygen limiting conditions.
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Roche Pharma Research and Early Development (pRED), Roche Innovation Center, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
In a recent Viewpoint article (. 2024;81:789‒90), Okubadejo et al. raised concerns regarding two recent proposals for biological definitions and staging systems for synucleinopathies (the Neuronal Synuclein Disease Integrated Staging System and SynNeurGe system).
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Lancet Reg Health Southeast Asia
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London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Steps forward in the treatment of IgA nephropathy.
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Fondazione Ricerca Molinette, Turin, Italy.
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