Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Clamped beam. For EBBT and TBT the results are consistent, irrespective of structural discretization. On the contrary, the RBT model returns results depending on the adopted discretization, as shown ...

Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this goal.

By Ronil Thakkar / KnowTechie While DeepSeek’s powerful new AI model, R1, has been grabbing headlines, the Chinese AI lab also quietly released a lighter, more efficient version of it.

In this paper, we investigate the effects of time-delay and diffusion on the disease dynamics in an epidemic model analytically and numerically. We give the conditions of Hopf and Turing bifurcations ...

Data-driven artificial neural networks (ANNs) demonstrably offer numerous advantages over the conventional deterministic methods in a wide range of geophysical problems. For seismic velocity model ...

Timeline Published: March 2010 Dissecting cancer through mathematics: from the cell to the animal model Helen M. Byrne Nature Reviews Cancer 10, 221–230 (2010) Cite this article ...