The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...

1 Warwick Mathematics Institute, The University of Warwick, Coventry, United Kingdom 2 School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang, China To ...

The most comprehensive, family-based variant dataset ever published will improve variant classification using AI-based tools MENLO PARK, Calif., Aug. 04, 2025 (GLOBE NEWSWIRE) -- PacBio (NASDAQ: PACB) ...

Two of the existing Models (IEEET1 #157, TGOV1 #151) define member functions with identical method signatures to implement a smooth approximation of a piecewise function. A static class or equivalent ...

Vasily Novoselov is a product analyst at Azur Games. Analysing games that feature a huge number of interacting units or entities can be incredibly challenging. Take a typical CCG, for instance: a ...

Let $P(m, X, N)$ be an $m$-degree polynomial in $X\in\mathbb{R}$ having fixed non-negative integers $m$ and $N$. Essentially, the polynomial $P(m, X, N)$ is a result ...

Spatial variation is often encountered when large scale field trials are conducted which can result in biased estimation or prediction of treatment (i.e. genotype) values. An effective removal of ...