Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yufang Liao"'
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background and objectives Amidst limited influenza treatment options, evaluating the safety of Oseltamivir and Baloxavir Marboxil is crucial, particularly given their comparable efficacy. This study investigates post-market safety profiles,
Externí odkaz:
https://doaj.org/article/7e421808e3b448dba64d54286a6d6b82
Publikováno v:
BMJ Open, Vol 12, Iss 2 (2022)
Externí odkaz:
https://doaj.org/article/8ad0195547e54f70a48b2fbb0649c558
Autor:
Jiangrong Du1, Yufang Liao2, Yong Zhang3, Boju Yang4, Yu Wu5, Chaoyuan Liu6, Xiuyong Liao1 liaoxiuyong2002@163.com
Publikováno v:
Alternative Therapies in Health & Medicine. Jan2024, Vol. 30 Issue 1, p111-115. 5p.
Autor:
Wei Zhuang, Jiabing Xu, Ye Wu, Jianhui Yang, Xiuxian Lin, Yufang Liao, Jun Wan, Lizhu Weng, Wanlong Lin
Aim: Nirmatrelvir as a new 3CL protease inhibitor for treating COVID-19 drug of antiviral drug, the potential side effects have not yet been fully studied yet. The aim of this study was to identify potential risk of Nirmatrelvir by analyzing post-mar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8be84deed3839376b0743f9e6a7a12cc
https://doi.org/10.22541/au.167604307.77773073/v1
https://doi.org/10.22541/au.167604307.77773073/v1
Publikováno v:
BMJ Open. 12:e050702
ObjectiveTo investigate the prevalence of off-label aspirin indications and the level of scientific support for off-label indications of aspirin in gynaecology and obstetrics outpatients.DesignA retrospective cross-sectional study.SettingTwo tertiary
Publikováno v:
Journal of Water and Climate Change. 8:791-801
Based on the statistical method and the historical evolution of meteorological stations, the precipitation time series for each station in Hunan Province of China during 1910–2014 are tested for their homogeneity and then adjusted. The missing data
Publikováno v:
Journal of Geographical Sciences. 27:297-310
Based on the statistical method and the historical evolution of meteorological stations, the temperature time series for each station in Hunan Province during 1910–2014 are tested for their homogeneity and then corrected. The missing data caused by
Publikováno v:
Theoretical and Applied Climatology. 123:859-871
Global warming brings a huge challenge to society and human being. Understanding historic and future potential climate change will be beneficial to regional crop, forest, and water management. This study aims to analyze the precipitation and temperat
Publikováno v:
Complexity. 17:48-57
This article proposes a probability finite state automata-based algorithm (PFSAA) for detecting outliers of air temperature series data caused by sensor errors. This algorithm first divides the training samples of air temperature series data into sub
Publikováno v:
2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics); 1/ 1/2012, p1-7, 7p