Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Abstract: Graph representation learning (GRL) has become a new learning paradigm, supporting a wide range of tasks such as node classification, link prediction, and graph classification. However, the ...

Abstract: Marine transportation constitutes a vital segment of international trade logistics. Recognizing marine carrier ship types is essential for the governance and efficiency of the marine ...

Artificial intelligence (AI) systems rely heavily on high-quality datasets to achieve their remarkable capabilities, yet the ethical and legal frameworks surrounding these datasets often lag behind ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpcb.4c07869. Extended quantum chemistry data, detailed derivation of ...

This feature gives a good overview and can be used during management level meetings as they won't be interested in detailed report. So, if this is integrated in the existing html report, the report ...

Cancer research encompasses data across various scales, modalities, and resolutions, from screening and diagnostic imaging to digitized histopathology slides to various types of molecular data and ...

A geo-environmental scientist from Japan has composed a string quartet using sonified climate data. The 6-minute-long composition -- entitled 'String Quartet No. 1 'Polar Energy Budget'-- is based on ...