Among modern cancer therapies, immune checkpoint inhibitors (ICI) are among the most successful treatment methods. These ...
Scientists have transformed enigmatic cell structures, called vaults, into storage units for messenger-RNA molecules made in ...
Michael Skinnider and his team have developed DeepMet, a large language model–guided program that can assign a structure to ...
Abstract: Knowledge space theory is a theory that uses mathematical language to evaluate learners’ knowledge and guide future learning, belonging to the research field of mathematical psychology.
Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...
Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...