Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Bao Qing Li"'
Autor:
Hui-Hui Fan, Bao-Qing Li, Ke-Yun Wu, Hai-Dan Yan, Meng-Jie Gu, Xing-Hao Yao, Hao-Jia Dong, Xiong Zhang, Jian-Hong Zhu
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
BackgroundEnvironmental substances such as pesticides are well-known in link with Parkinson’s disease (PD) risk. Enzymes including cytochromes P450 (CYPs), esterases and glutathione S-transferases (GSTs) are responsible for the xenobiotic metabolis
Externí odkaz:
https://doaj.org/article/d9703bc6b7ff484a958b06385e43ab0a
Autor:
Bao-Qing Li, Hongqiang Liao
Publikováno v:
Proceeding of Proceedings of Symposium on Energy Engineering in the 21st Century (SEE2000) Volume I-IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beb88aac2f1f5b5385b7a89c4a31de51
https://doi.org/10.1615/see2000.2250
https://doi.org/10.1615/see2000.2250
Publikováno v:
Proceeding of Proceedings of Symposium on Energy Engineering in the 21st Century (SEE2000) Volume I-IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f6bf2aac32e18c0856c05ecc400a1a4
https://doi.org/10.1615/see2000.1830
https://doi.org/10.1615/see2000.1830
Publikováno v:
Experimental and Therapeutic Medicine. 24
Endoscopic resection for early esophageal cancer has a risk of residual margins. The risk these residual margins pose have not been fully evaluated. The present study aimed to investigate the associated risk factors and prognosis of residual margins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d23f21997f07b9abd0971d0d2383d1c3
https://doi.org/10.3892/etm.2022.11384
https://doi.org/10.3892/etm.2022.11384
Publikováno v:
In Journal of Fuel Chemistry and Technology 2011 39(2):81-84
Autor:
Lu-Wen Xing, Gui-Hua Yang, Bao-Qing Li, Wang Yichuan, Jie Liang, Yan-Jie Shi, Liwei Wang, Jing-Bo Du, Yu-Hong Qu, Hai-Jiao Li, Yan-Yu Yin, Yi Li, Lin Ye, Rong Long, Bing Xu, Dengbo Chen, Kexin Zhang, Sun Yingshi, Xiao-Ting Li, Min Cao, Rui-Jia Sun, Juan Zhu, Jie Zhang, Dong Wang, Ming-Bin Cheng
Background: Computer-aided diagnosis using deep learning algorithms has been initially applied in the field of mammography, but there is no large-scale clinical application.Methods: This study proposed to develop and verify an artificial intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2bf4d4911216ad966de4ebd88fe888
https://doi.org/10.21203/rs.3.rs-746374/v1
https://doi.org/10.21203/rs.3.rs-746374/v1
Publikováno v:
Advanced Materials Research. :2818-2823
The glass-ceramics of CaO-Al2O3-SiO2system were prepared by sintering using lead-zinc tailings. Orthogonal experiment was carried out to optimize the ratio of lead-zinc tailings, chemical composition of basic-glass and other chemical materials in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09bc3d7bcf55d22267797b9c2c4ae9f
https://doi.org/10.4028/www.scientific.net/amr.955-959.2818
https://doi.org/10.4028/www.scientific.net/amr.955-959.2818
Autor:
张宝清1 1181015611@qq.com
Publikováno v:
China Harbour Engineering. Nov2024, Vol. 44 Issue 11, p58-63. 6p.
Publikováno v:
Reaction Kinetics and Catalysis Letters. 78:49-58
Supported Au catalysts for low-temperature CO oxidation were prepared by solvated metal atom impregnation (SMAI) and conventional impregnation (CI). X-ray photoelectron spectroscopy investigations indicated that gold in all the samples was in the met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9902391a171cc97fbfccd9c25c13f1
https://doi.org/10.1023/a:1022553630611
https://doi.org/10.1023/a:1022553630611
Publikováno v:
Catalysis Letters. 80:41-46
Cu/CeO2 and CuO/CeO2 catalysts were prepared by solvated metal atom impregnation (SMAI) and conventional impregnation (CI) and used for carbon monoxide oxidation in CO and air. The catalysts were characterized by means of XRD, XPS, AES and H2-TPR tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::354f7f6c36dfdd158c66910698ba3bbd
https://doi.org/10.1023/a:1015318525080
https://doi.org/10.1023/a:1015318525080