A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

Symmetry is a fundamental characteristic of most multi-cell animals. However, the cell division of embryonic cells is ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

I do some futures forecasting and layout a timeline of how today's AI gets advanced to reach artificial general intelligence ...

Squaring these deviations yields 0.25% for Year 1, 2.25% for Year 2, and 4.00% for Year 3. To find the variance, add these squared deviations, then divide by one less the number of points in the ...

Compared with the commonly-used one subspace learning architecture, the proposed architecture provides a broader optimization space to meet the domain adaption criterion. At last, in order to further ...

Abstract: Two efficient algorithms are proposed to analyze a large-scale periodic structure with finite size using the subentire-domain (SED) basis functions and the conjugate-gradient fast Fourier ...

This file provides functions and modules that construct shapes from a list ... If you simply supply a list of compatible profiles, they link up exactly as you have provided them. You may find that ...