Results 241 to 250 of about 487,508 (331)
On reduced-order modeling of drug dispersion in the spinal canal. [PDF]
Parras-Martos FJ +4 more
europepmc +1 more source
Partial regularity for minimizers of a class of discontinuous Lagrangians [PDF]
Roberto Colombo
openalex +1 more source
The nature of phantom dark energy and its relation to time crystals. [PDF]
Mersini-Houghton L.
europepmc +1 more source
Abstract “L'eau c'est la vie” is a well‐known French expression for “water is life,” which reflects the fact that water is undoubtedly the most vital resource in the world. The main mission for water utility companies is to convey and distribute water that is of acceptable quality to satisfy the demand of the population at any time of the day.
Franklin Djeumou Fomeni +4 more
wiley +1 more source
Activity Detection and Channel Estimation Based on Correlated Hybrid Message Passing for Grant-Free Massive Random Access. [PDF]
Liu X, Gong X, Fu X.
europepmc +1 more source
A hybrid RANS‐LES turbulence model adapted for the Moving Particle Semi‐implicit method is employed to investigate a turbulent free surface flow. A method based on the cell‐linked list is proposed to speed up the nearest wall search for the turbulence model.
Fabio Kenji Motezuki +3 more
wiley +1 more source
Simulation of microplastic transport and dispersion based on a three-dimensional hydrodynamic particle-tracking model in the Beibu Gulf. [PDF]
Sun C +9 more
europepmc +1 more source
Online Spatiotemporally Constrained Reconstruction for Real‐Time Interactive MRI
ABSTRACT Purpose To develop a low‐latency dynamic MRI reconstruction that provides better spatial and temporal fidelity than contemporary online reconstruction, for localization. Methods We utilize online spatiotemporally constrained reconstruction (STCR) using a computationally efficient augmented Lagrangian solution and a limited number of iterations
Duc H. Le +4 more
wiley +1 more source
The role of oceanographic scales in shaping highly mobile marine predator distributions. [PDF]
Pinti J +5 more
europepmc +1 more source
ABSTRACT Purpose This study aims to develop an automated framework for operator‐independent assessment of cardiac ventricular function from highly accelerated images. Methods We introduce a deep learning framework that generates reliable ventricular volumetric parameters and strain measures from fully sampled and retrospectively accelerated MR images ...
Aya Ghoul +7 more
wiley +1 more source

