Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hao-yang Lu"'
Autor:
Xiao-lin Li, Shan-qing Huang, Tao Xiao, Xi-pei Wang, Wan Kong, Shu-jing Liu, Zi Zhang, Ye Yang, Shan-shan Huang, Xiao-jia Ni, Hao-yang Lu, Ming Zhang, Yu-guan Wen, De-wei Shang
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Paroxetine is one of the most potent selective serotonin reuptake inhibitors (SSRIs) approved for treating depression, panic disorder, and obsessive-compulsive disorder. There is evidence linking genetic polymorphisms and nonlinear metabolism to the
Externí odkaz:
https://doaj.org/article/a2147fd8d21842bba7cc15bb6e2f1163
Autor:
Shan-qing Huang, Xiao-lin Li, Zhan-zhang Wang, Hao-yang Lu, Tao Xiao, Xiao-jia Ni, Shu-jing Liu, Ming Zhang, De-wei Shang, Yu-guan Wen
Publikováno v:
Journal of Analytical Methods in Chemistry, Vol 2022 (2022)
A high-performance liquid chromatographic method coupled with triple quadrupole mass spectrometry (LC-MS/MS) for the analysis of blonanserin and its active metabolite, N-desethyl blonanserin, in rat plasma has been developed and validated. The biolog
Externí odkaz:
https://doaj.org/article/7fd2d7fd0768425bbca9192cfa71b3d4
Autor:
Zhan-zhang Wang, Yue-feng Zhang, Wen-can Huang, Xi-pei Wang, Xiao-jiao Ni, Hao-yang Lu, Jin-qing Hu, Shu-hua Deng, Xiu-qing Zhu, Huan-shan Xie, Hong-zhen Chen, Ming Zhang, Chang Qiu, Yu-guan Wen, De-wei Shang
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Lamotrigine (LTG) is a second-generation anti-epileptic drug widely used for focal and generalized seizures in adults and children, and as a first-line medication in pregnant women and women of childbearing age. However, LTG pharmacokinetics shows hi
Externí odkaz:
https://doaj.org/article/f3add61c3fb74ffd974d71e977bd213e
Autor:
Hao-Yang Lu, 呂浩仰
105
The purpose of this study was to evaluate the impacts of the climate change and development in the vicinity area on the water quality of Ugii Lake in Mongolia. On-site monitoring data in 2015 and in 2016 were adopted to assess the status of
The purpose of this study was to evaluate the impacts of the climate change and development in the vicinity area on the water quality of Ugii Lake in Mongolia. On-site monitoring data in 2015 and in 2016 were adopted to assess the status of
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/fvmt78
Autor:
Tao Xiao, Jin‐Qing Hu, Shu‐Jing Liu, Hui‐Qin Lu, Xiao‐Lin Li, Wan Kong, Shan‐Qing Huang, Xiu‐Qing Zhu, Ming Zhang, Hao‐Yang Lu, Xiao‐Jia Ni, Han‐Lun Yang, De‐Wei Shang, Yu‐Guan Wen
Publikováno v:
Journal of clinical pharmacy and therapeuticsREFERENCES. 47(11)
Olanzapine is an atypical antipsychotic drug used for mental disorders. There are limited studies providing sufficient pharmacokinetic data, thus the variability of concentrations of olanzapine used in Chinese paediatric patients aged 10 to 17 years
Autor:
Shan-qing Huang, Xiao-lin Li, Zhan-zhang Wang, Hao-yang Lu, Tao Xiao, Xiao-jia Ni, Shu-jing Liu, Ming Zhang, De-wei Shang, Yu-guan Wen
Publikováno v:
Journal of analytical methods in chemistry. 2022
A high-performance liquid chromatographic method coupled with triple quadrupole mass spectrometry (LC-MS/MS) for the analysis of blonanserin and its active metabolite, N-desethyl blonanserin, in rat plasma has been developed and validated. The biolog
Autor:
Zhan-Zhang, Wang, Shu-Hua, Deng, Hao-Yang, Lu, Lu, Li, Xiu-Qing, Zhu, Jin-Qing, Hu, Huan-Shan, Xie, Hong-Zhen, Chen, Yu-Qing, Chen, Ming, Zhang, Zi-Yan, Fang, Yu-Guan, Wen, De-Wei, Shang
Publikováno v:
Human psychopharmacologyREFERENCES. 35(3)
This study aimed to investigate the influence of diagnosis, body weight, sex, age, smoking, formulations, and concomitant drugs on steady-state dose-corrected serum concentrations (C/D) of venlafaxine (VEN) and O-desmethylvenlafaxine (ODV).A retrospe
Publikováno v:
Bioanalysis
Background: Quantification of polar compounds such as chloroquine by revered-phase LC is a challenge because of poor retention and silanol interactions with stationary phase. Strong ion-pairing reagents added to mobile phases to improve reversed-phas
Autor:
Shu-hua Deng, Zhan-Zhang Wang, Hao-Yang Lu, Lu Li, Jin-Qing Hu, Xiu-Qing Zhu, Huan-Shan Xie, Hong-Zhen Chen, Ming Zhang, Xiao-Jia Ni, Chang Qiu, De-Wei Shang, Yu-Guan Wen
Publikováno v:
Therapeutic Drug Monitoring; Aug2020, Vol. 42 Issue 4, p636-642, 7p
Publikováno v:
工程科学学报, Vol 43, Iss 11, Pp 1482-1490 (2021)
Deep learning is gaining attention in the field of mechanical equipment fault diagnosis. With the help of deep learning techniques, deep neural networks (DNNs) have great potential for machinery fault diagnosis. Deep learning is a subset of machine l
Externí odkaz:
https://doaj.org/article/c79d003232b447a782100e3e0dc04e30