Machine learning has become an emerging paradigm for microrobotics, enabling autonomous micro-/nanorobot navigation in complex and highly disturbed environments without requirements of precise models. However, the state-of-the-art learning-based methods adopt “black-box” neural n…
Objective This study aimed to examine the effects and potential mechanisms of an exercise intervention (EI) combined with psychologically informed patient education (PE) on tibial loading and associated risk factors in runners with Medial Tibial Stress Syndrome (MTSS). The aim wa…
Clathrin-mediated endocytosis (CME) requires precise coordination between membrane deformation and force-generating protein assemblies, yet how these forces are dynamically organized in living cells remains poorly defined. Using multi-dimensional single particle tracking (SPT), w…