Influence modeling in behavioral data

Autor: Li, Liangda

Understanding influence in behavioral data has become increasingly important in analyzing the cause and effect of human behaviors under various scenarios. Influence modeling enables us to learn not only how human behaviors drive the diffusion of meme

Externí odkaz: http://hdl.handle.net/1853/53879

Plastome and phylogenetic relationship of the woody buckwheat Fagopyrum tibeticum in the Qinghai-Tibet Plateau

Autor: Yang, Bibo, Li, Liangda, Liu, Jianquan, Zhang, Lushui ^∗

Publikováno v: In Plant Diversity June 2021 43(3):198-205

Raw data.zip

Autor: Li, Liangda

We uploaded all the original data, including source code, vector graphics, and process files, to Figshare for our study on the analysis of biomarkers associated with protein processing in endoplasmic reticulum (PER) during cerebral ischemia (CI)/repe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::caa7010210d9af638011fb1f1b13a60e

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Poststroke Constipation Is Associated With Impaired Rectal Sensation.

Autor: Cheng, Jiafei, Li, Liangda, Xu, Feng, Xu, Yuemei, Lin, Lin, Chen, Jiande D. Z.

Publikováno v: American Journal of Gastroenterology (Lippincott Williams & Wilkins); Jan2020, Vol. 115 Issue 1, p105-114, 10p, 1 Diagram, 7 Charts, 2 Graphs