BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Computational chemists at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences have developed a ...

What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...

Abstract: Many critical electronic design automation (EDA) problems suffer from the curse of dimensionality, i.e., the very fast-scaling computational burden produced by large number of parameters and ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

2D-LC provides superior separation and resolution for complex biotherapeutics, addressing challenges like structural variations and post-translational modifications. Coupling 2D-LC with mass ...

In this rapidly growing digital age, the way we represent and process information has become increasingly sophisticated, with vector data standing at the forefront of this evolution. Vector data, ...

a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...

Over the past few decades, coherent broadband spectroscopy has been widely used to improve our understanding of ultrafast processes (e.g., photoinduced electron transfer, proton transfer, and ...