Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...
Current mortality prediction models for patients with kidney failure may introduce bias and applicability concerns in clinical practice, according to a large systematic review. “Risk prediction models ...
Molecular communications in the bloodstream is a promising area of research, since the bloodstream has the ability to ...
Rain on burned hillslopes can trigger dangerous floods and debris flows. Those debris flows can move with the speed of a ...
The commonplace phenomenon of liquid drops falling from a surface is—perhaps surprisingly—not yet fully understood by ...
Background Early-life inflammation has long been recognised as a key pathophysiological process in the evolution of cystic ...
The mathematics of hypersonic flight primarily involves fluid dynamics, thermodynamics, and gas dynamics, particularly ...
LLNL advances cellular fluidics with multi-material 3D printing - producing lattice structures with a series of ...
UC Santa Barbara researchers now know why a pool of red dye somehow “knew” how to solve a maze filled with milk.
Scientists have made a significant leap forward in understanding turbulence, a chaotic phenomenon observed in natural systems ...
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