Results 121 to 130 of about 95,610 (176)

Post-pandemic mortality patterns and COVID-19 burden considering multiple death causes

Riedmann U, Levitt M, Pilz S, Ioannidis JP.   +3 more
europepmc   +1 more source

Declining demand and circular transition possibilities of sand, gravel and crushed stone in China. [PDF]

Nat Commun
Ren Z, Jiang M, Behrens P, Chen D, Mostert C, Zhou W, Li C, Li F, Liu L, Wang H, Xu M, Hertwich E, Bringezu S, Zhu B.   +13 more
europepmc   +1 more source

Start up: A French program to support patients with pulmonary arterial hypertension during the adjustment of prostanoids to the individualized optimal dose. [PDF]

PLoS One
Bergot E, Fertin M, Dewavrin MG, Prévot G, Meijer J, Hakibilen C, Gruand L, Gauthier S, Todea A, Boukerzaza T, Jaïs X.   +10 more
europepmc   +1 more source

Open Benchmarking for Cell-Based Multiscale Models: Lessons from a Community Initiative

Ntiniakou T, Osborne J, Zhao J, Dichamp J, Cogno N, Heiland R, Amponsah K, Pesek J, Duswald T, Hayoun-Mya O, Jennings J, Pedrazzi M, Bournes R, Ruscone M, Cooper F, Noël V, Leach MI, Madrid-Valiente A, Estragués-Muñoz J, Smelko A, Aliyev T, Manca M, Pitt-Francis J, Mirams G, Macklin P, Fletcher AG, Vavourakis V, Hoehme S, Carbonell-Caballero J, Bauer R, Paul Liedekerke V, Drasdo D, Valencia A, Montagud A.   +33 more
europepmc   +1 more source

Cardiac autonomic function during exercise and incident Parkinson’s disease

van Duijvenboden S, Ramírez J, Scheurink J, Darweesh SK, Orini M, Tinker A, Munroe PB, Thannhauser J, Evers L, IntHout J, Lambiase PD, Bloem BR, Doherty A, Brouwer MA.   +13 more
europepmc   +1 more source

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Remarks on the Control of Two-Phase Stefan Free-Boundary Problems

SIAM Journal of Control and Optimization, 2022
This paper concerns the null controllability of the two-phase 1D Stefan problem with distributed controls. This is a free-boundary problem that models solidification or melting processes.
Raul K. C. Araújo, E. Fernández-Cara, J. Límaco, Diego A. Souza   +3 more
semanticscholar   +1 more source

Physics-Informed Machine Learning for Two-Phase Moving-Interface and Stefan Problems

arXiv.org
The Stefan problem is a classical free-boundary problem that models phase-change processes and poses computational challenges due to its moving interface and nonlinear temperature-phase coupling. In this work, we develop a physics-informed neural network
Che-Chia Chang, Te-Sheng Lin, Ming-Chih Lai   +2 more
semanticscholar   +1 more source

A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems

arXiv.org
The inverse Stefan problem, as a typical phase-change problem with moving boundaries, finds extensive applications in science and engineering. Recent years have seen the applications of physics-informed neural networks (PINNs) to solving Stefan problems,
Pei-Zhi Zhuang, Ming-Yue Yang, Fei Ren, Hong-Ya Yue, He Yang   +4 more
semanticscholar   +1 more source