Researcher makes 'little data' act big through, the application of mathematical techniques normally used for time-series, to spatial processes. The identification of human migration driven by climate ...

This study provides a useful contribution to understanding how wearable augmentation devices interact with human proprioception, using a longitudinal design over a single session. Results demonstrate ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Spatial proteomics represents a revolutionary frontier in molecular biology, enabling researchers to explore protein expression while preserving the critical spatial context of tissue architecture.

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS Spectral fingerprints of materials in the THz range hold a myriad of captivating light-matter interactions for ...