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Qinggang Meng

Publications and source records attributed to Qinggang Meng.

2 recordsLinked to original sources
PubMed2005

[Preliminary study on the alpha-glucosidase inhibitor from Glycyrrhiza uralensis Fisch].

OBJECTIVE: To extract and isolate alpha-glucosidase inhibitor from Glycyrrhiza uralensis Fisch. METHODS: The aqueous extract of Glycyrrhiza uralensis Fisch. was extracted by petroleum, ethyl acetate and n-butanol. In addition, the inhibitory activity against alpha-glucosidase of every fraction was determined and the inhibitory kinetics of ethyl acetate fraction was investigated. RESULTS: The inhibitory activities of four fractions were 68.93%, 83.2%, 32.17% and 10.79% respectively. Compared with the aqueous extract (69.77%), the inhibitory activity of ethyl acetate fraction was higher. Ethyl acetate fraction was shown to be a fast-binding, dose-dependent and competitive model with a Ki value of 34 microg/ml. CONCLUSION: It is hoped to obtain good alpha-glucosidase inhibitors by separating ethyl acetate fraction of aqueous extract of Glycyrrhiza uralensis Fisch further.

Acetates↗
PubMed2004

Articulated pose identification with sparse point features.

We propose a general algorithm for identifying an arbitrary pose of an articulated subject with sparse point features. The algorithm aims to identify a one-to-one correspondence between a model point-set and an observed point-set taken from freeform motion of the articulated subject. We avoid common assumptions such as pose similarity or small motions with respect to the model, and assume no prior knowledge from which to infer an initial or partial correspondence between the two point-sets. The algorithm integrates local segment-based correspondences under a set of affine transformations, and a global hierarchical search strategy. Experimental results, based on synthetic pose and real-world human motion data demonstrate the ability of the algorithm to perform the identification task. Reliability is increasingly compromised with increasing data noise and segmental distortion, but the algorithm can tolerate moderate levels. This work contributes to establishing a crucial self-initializing identification in model-based point-feature tracking for articulated motion.

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