Elisa Tamarkin retraces her father’s work in Vietnam, and untangles the relationship of American newspaper business to the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

Abstract: This article gives an investigation to the leader-following consensus issue for Lipschitz nonlinear multiagent systems. A double dynamic event-triggered control scheme has been proposed to ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

Integrating proteomics with systems biology reveals complex cellular networks, improving disease mechanisms understanding and precision medicine applications.

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

This study characterizes several novel activities of SARS-CoV-2 helicase nsp13, providing valuable insights into potentially new functions of this essential RNA-processing enzyme in the virus life ...

AVILOO finally makes the switch to e-mobility easy, because we offer a clear answer to the most important question: How good ...

The mood in the entire Newcastle United community is morose. (This article was mostly written during the extended March ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Applying a few simplifying assumptions and constructing a set of ordinary differential equations leads to a model that ...