High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...

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 ...

Faye, I. and Ndiaye, M. (2025) Hydrological Study on the Rehabilitation of Aghor Pond for Refugee Livestock in the Commune of ...

Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...

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 ...

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...

Several fundamental results on the existence and behavior of solutions to semilinear functional differential equations are developed in a Banach space setting. The ideas are applied to ...

The collision and merger of two neutron stars—the incredibly dense remnants of collapsed stars—are some of the most energetic ...

Abstract: In the realm of output control for wireless power transfer (WPT) systems, variable frequency (VF) regulation of the transmitter inverter stands out as a leading and sophisticated research ...

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

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...