Learn how to calculate hazard rate, its practical implications in engineering and finance, and why it's critical in ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Abstract: Reliable and accurate wind power prediction is fundamental for efficient operation of wind energy system. However, the stochasticity and volatility cause a lot of colored noises, making wind ...

Abstract: This paper introduces a digital twin modeling method for hydropower systems with Kaplan turbines using probability density function (PDF) shaping. We first use multilayer perceptron (MLP) ...

Detailed price information for Arizona Sonoran Copper Company Inc (ASCU-T) from The Globe and Mail including charting and trades.

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

Conspecific negative density dependence (CNDD) has been considered a cornerstone of species coexistence in highly diverse ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Trying to document how single brain cells participate in networks that govern behavior is a daunting task. Brain probes ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...