The interdisciplinary field of language learning and computational models has witnessed rapid growth in recent years. Researchers pursue an integrative approach that combines cognitive science, ...

This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...

Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

The model is based on a 3D reconstruction of the heart of each patient, resorting to a computerized tomography (scan) of the left atrium, and can help to medical professionals who perform this ...

Neurodegenerative disorders are defined by progressive neuronal dysfunction and death, in which oxidative stress is recognized as a central contributor to ...

Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...

Space exploration has always captivated our imagination, offering the promise of discovering new worlds and pushing the boundaries of human capability. As commercial space travel becomes more ...