The capability of predicting molecular properties plays a crucial role in drug development, and the learning of molecular representations stands as the primary step in tasks aimed at predicting ...

To address this, we propose an implicit neural representation model based on the imaging geometry of SAR, named SAR-INR, to represent the 3-D electromagnetic backscatter intensity of a target. This ...

This study investigates the effectiveness of Virtual Reality (VR) as a teaching tool for molecular geometry in engineering education, comparing it with traditional methods and physical 3D models.

This approach allows for an unbiased dissection of multiple layers of cell state through a unified molecular strategy compatible with the widely used polyA capture chemistry in spatial transcriptomics ...