Jinlei Liu

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BACKGROUND Traditional activity recognition solutions are not widely applicable due to a high cost and inconvenience to use with numerous sensors. This paper aims to automatically recognize physical activity with the help of the built-in sensors of the widespread smartphone without any limitation of firm attachment to the human body. METHODS By(More)
A novel, efficient, and accurate fingerprinting method using high performance liquid chromatography–photodiode array detection has been developed and optimized for the investigation and demonstration of the variance in chemical properties among Siraitia grosvenorii fruits from different origins. The effects of growth stages, cultivated varieties, collection(More)
The University of Michigan Comprehensive Cancer Center Informatics Core, in cooperation with Recombinant Data Corp, has implemented the open-source tranSMART application (http://www.transmartproject.org/) to support data management and analysis for the Colorectal Transdisciplinary Study (CORECT) Consortium coordinating center. CORECT is a post-GWAS(More)
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