The study suggests that physically informed AI can do more than interpolate missing data; it can help connect satellite generations into a more coherent long-term observing system. The authors note ...

In early 2026, Mitolyn reviews have moved far beyond curiosity and into serious comparison as new mitochondrial ...

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...

In this paper, we propose a complete formulation of the Lattice Boltzmann Method adapted for quantum computing. The classical collision, based on linear equilibrium distribution functions and ...

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Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

Abstract: The Vlasov-Maxwell equations describe the coupled evolution of collisionless plasma particle distribution function (PDF) and the electromagnetic field. The system is exceedingly multiscale ...

Abstract: Deinterleaving emitters with complex patterns presents a significant challenge for electronic support measure systems. In this article, we address this issue by formulating deinterleaving as ...

This important study of artificial selection in microbial communities shows that the possibility of selecting a desired fraction of slow and fast-growing types is impacted by their initial fractions.

Point process provides a mathematical framework for characterizing neuronal spiking activities. Classical point process methods often focus on the conditional intensity function, which describes the ...