Suchergebnisse - "Zhang, Yanbao"

PubPharm (20)

1

Developing LC-MS/MS methods to quantify rivaroxabanin human plasma and urine : Application to therapeutic drug monitoring

enthalten in: Biomedical chromatography : BMC | 2022

von Zheng, X. | Chen, C. | Gao, H. | +4

2

Developing LC–MS/MS methods to quantify rivaroxabanin human plasma and urine : Application to therapeutic drug monitoring

enthalten in: Biomedical Chromatography | 2022

von Zheng, X. | Chen, C. | Gao, H. | +4

3

Development of a rapid and sensitive UPLC-MS/MS assay for simultaneous quantitation of Vorolanib and its metabolite in human plasma and application to a pharmacokinetics study

enthalten in: Journal of pharmaceutical and biomedical analysis | 2021

von Zheng, X. | Gao, H. | Zhang, Y. | +8

4

Simultaneous determination of indapamide, perindopril and its active metabolite perindoprilat in human plasma using UPLC-MS/MS method

enthalten in: Journal of chromatography. B, Analytical technologies in the biomedical and life sciences | 2021

von Zheng, X. | Gao, H. | Cui, X. | +5

5

A simple low-latency real-time certifiable quantum random number generator

enthalten in: Nature communications | 2021

von Zhang, Y. | Lo, H. | Mink, A. | +4

6

Experimental Realization of Device-Independent Quantum Randomness Expansion

enthalten in: Physical review letters | 2021

von Li, M. | Zhang, X. | Liu, W. | +12

7

Development of an LC-MS/MS method for quantifying two main metabolites of abivertinib in human plasma

enthalten in: Biomedical chromatography : BMC | 2020

von Zheng, X. | Wang, W. | Zhang, Y. | +5

8

Experimental Low-Latency Device-Independent Quantum Randomness

enthalten in: Physical review letters | 2020

von Zhang, Y. | Shalm, L. | Bienfang, J. | +10

9

Performance of Test Supermartingale Confidence Intervals for the Success Probability of Bernoulli Trials

enthalten in: Journal of research of the National Institute of Standards and Technology | 2020

von Wills, P. | Knill, E. | Coakley, K. | +1

10

Efficient Randomness Certification by Quantum Probability Estimation

enthalten in: Physical review research | 2020

von Zhang, Y. | Fu, H. | Knill, E.