In the paper published on Science of Traditional Chinese Medicine (STCM), the authors employed UPLC-MS/MS technology and elucidated the processing principle of rhubarb pieces based on in vivo profile of components. This study comprehensively analyzed the dynamic in vivo changes of prototype anthraquinones and their glucuronide metabolites in rhubarb from the perspectives of absorption, distribution, and excretion. It proposed that processing can reduce the exposure of components, achieve targeted distribution in the intestine, and accelerate the excretion of components, thereby clarifying the processing mechanism of 'raw rhubarb purges while steamed rhubarb moderates'. This provides a solid research perspective for the study of the processing principles of traditional Chinese medicine.

POSTECH researchers develop a bio-implant with virtually no immune response at the cellular and tissue level.

Soil science is undergoing a profound transformation, evolving from its traditional focus on agriculture to a multidimensional discipline addressing some of the most urgent challenges of our time. 

When robots perform complex tasks, the pose accuracy of the end-effector is critical. However, errors from individual joints tend to accumulate along the kinematic chain, making it challenging to guarantee high pose precision at the end-effector. To address this issue, this study proposes a virtual-constraints-based end-effector pose compensator (VEPC). The method treats the actual angles of specific joints as known inputs and automatically adjusts the remaining joint angles in real time, effectively eliminating the pose errors of the end-effector caused by the joints. Experimental results demonstrate that the method can reduce the maximum end-effector position error by over 75%. Moreover, the method requires no additional sensors, offering low cost and high compatibility.