Výsledky vyhledávání - "Zhang Qiuyan"

Akademický článek

Signed zero forcing number and controllability for a networks system with a directed hypercube

Autor: Mou Gufang, Zhang Qiuyan

Publikováno v: MATEC Web of Conferences, Vol 355, p 01012 (2022)

The controllability for complex network system is to find the minimum number of leaders for the network system to achieve effective control of the global networks. In this paper, the problem of controllability of the directed network for a family of

Externí odkaz: https://doaj.org/article/20119700721145c09ef996fd3f0ed418

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Akademický článek

Potential anticancer activity of curcumin analogs containing sulfone on human cancer cells

Autor: Zhang Qiuyan, Li Dongli, Liu Yue, Wang Hui, Zhang Changyuan, Huang Huarong, He Yan, Chen Xuan, Du Zhiyun, Zheng Xi

Publikováno v: Archives of Biological Sciences, Vol 68, Iss 1, Pp 125-133 (2016)

Three curcumin analogs(S1-S3) containing sulfone were investigated for their effects on human prostate cancer PC-3, colon cancer HT-29, lung cancer H1299 and pancreatic cancer BxPC-3 cells. The three compounds were approximately 16-to 96-fold more

Externí odkaz: https://doaj.org/article/990efc8796664227b62e77d1188b712a

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Akademický článek

Siwei Jianbu decoction improves painful paclitaxel-induced peripheral neuropathy in mouse model by modulating the NF-κB and MAPK signaling pathways

Autor: Suo Jinshuai, Wang Man, Zhang Peng, Lu Yuting, Xu Rong, Zhang Ling, Qiu Siyan, Zhang Qiuyan, Qian Yangyan, Meng Jing, Zhu Jing

Publikováno v: Regenerative Medicine Research, Vol 8, p 2 (2020)

Background: Paclitaxel, a commonly used chemotherapeutic agent, is usually associated with peripheral neuropathy. Paclitaxel induced peripheral neuropathy (PIPN) can be dose limiting and may have detrimental influence on patients' quality of life. Ho

Externí odkaz: https://doaj.org/article/d844a227d2e943c8a311e95ef7ef822c

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Application of fused graphical lasso to statistical inference for multiple sparse precision matrices

Autor: Zhang, Qiuyan, Bai, Zhidong, Li, Lingrui, Yang, Hu

In this paper, the fused graphical lasso (FGL) method is used to estimate multiple precision matrices from multiple populations simultaneously. The lasso penalty in the FGL model is a restraint on sparsity of precision matrices, and a moderate penalt

Externí odkaz: http://arxiv.org/abs/2303.01326