Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Sixiu Liu"'
Publikováno v:
Renal Failure, Vol 46, Iss 1 (2024)
Background Ascertaining the total body water (V), usually obtained by the Watson formula or bioimpedance spectroscopy (BIS), is crucial for the calculation of Kt/V in patients with peritoneal dialysis (PD). The aim of our study was to compare two dif
Externí odkaz:
https://doaj.org/article/03d8fe17ba724ec6b60daaa51da14a54
Publikováno v:
Artificial Intelligence in Geosciences, Vol 2, Iss , Pp 47-59 (2021)
Noise suppression is an essential step in many seismic processing workflows. A portion of this noise, particularly in land datasets, presents itself as random noise. In recent years, neural networks have been successfully used to denoise seismic data
Externí odkaz:
https://doaj.org/article/3d9afdd93d694b2d8715d2ac910de55d
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 248, Iss , Pp 114318- (2022)
Fine particle (PM2.5, less than 2.5 micrometers in diameter) is regarded as a harmful carcinogen. However, the molecular mechanisms of the carcinogenic effects of ambient fine particles have not been fully elucidated, and therapeutic options to addre
Externí odkaz:
https://doaj.org/article/8839f2d193034afdb0a007ce4ad5027f
Publikováno v:
Journal of Ophthalmology, Vol 2022 (2022)
Purpose. To evaluate the influence of intraocular pressure (IOP) measurement while wearing bandage contact lens (BCL) and the effect of Pentacam and Corvis ST’s correction systems. Methods. It was a prospective comparative study. Forty healthy subj
Externí odkaz:
https://doaj.org/article/338ecb10efd8491c89cfc43e84448b72
Autor:
Ke Li, Xiaohong Liu, Sixiu Liu, Yulong An, Yanfang Shen, Qingxia Sun, Xiaodong Shi, Wenji Su, Weiren Cui, Zhiqiang Duan, Letian Kuai, Hongfang Yang, Alexander L. Satz, Kaixian Chen, Hualiang Jiang, Mingyue Zheng, Xuanjia Peng, Xiaojie Lu
Publikováno v:
iScience, Vol 23, Iss 6, Pp 101142- (2020)
Summary: The application of machine learning toward DNA encoded library (DEL) technology is lacking despite obvious synergy between these two advancing technologies. Herein, a machine learning algorithm has been developed that predicts the conversion
Externí odkaz:
https://doaj.org/article/e7d17460ffc54bb7acb0d1bb1effeaff
Autor:
Shanshan Liang, Sixiu Liu, Hua Liu, Xin He, Lingshuang Sun, Lei Chen, Meng Wei, Fanfan Gao, Hongli Jiang
Publikováno v:
Kidney & Blood Pressure Research, Vol 43, Iss 5, Pp 1516-1528 (2018)
Background/Aims: Previous studies have shown that homocysteine (Hcy) is an important intestinal-derived uremic toxin. However, whether Hcy is involved in the epithelial barrier dysfunction observed in uremia remains unclear. This study aimed to inves
Externí odkaz:
https://doaj.org/article/4c1a4801a3874268a10ea1446b678fb1
Autor:
Sixiu Liu, Shanshan Liang, Hua Liu, Lei Chen, Lingshuang Sun, Meng Wei, Hongli Jiang, Jing Wang
Publikováno v:
Kidney & Blood Pressure Research, Vol 43, Iss 3, Pp 755-767 (2018)
Background/Aims: Recently, the colon has been recognized as an important source of various uremic toxins in patients with end stage renal disease. Medicinal charcoal tablets are an oral adsorbent that are widely used in patients with chronic kidney d
Externí odkaz:
https://doaj.org/article/d6a8e8b91075452f8a1b3f15671151c0
Autor:
Nan Li, Wenxia Cui, Dinghuang Mu, Xiaoting Shi, Lei Gao, Sixiu Liu, Hengjin Wang, Chunming Jiang, Yun Hu
Publikováno v:
International Journal of Medical Sciences; 2024, Vol. 21 Issue 10, p1806-1813, 8p
Autor:
Xiujuan Lv, Zheng Zheng, Xiao Zhi, Yilin Zhou, Jineng Lv, Yue Zhou, Binrong Wu, Sixiu Liu, Wei Shi, Zongming Song, Jinling Xu, Jia Qu, Dan Xu, Feng Gu
Publikováno v:
Gene Therapy. 30:160-166
X-linked retinitis pigmentosa (XLRP) is the most severe form of Retinitis Pigmentosa (RP) and one of the leading causes of blindness in the world. Currently, there is no effective treatment for RP. In the present study, we recruited a XLRP family and
Autor:
Xing Ling, Sixiu Liu, Yixuan Yang, Qian Dong, Lisa A. Marcaurelle, Wei Huang, Yun Ding, Xuan Wang, Xiaojie Lu
Publikováno v:
Bioconjugate Chemistry.