Zobrazeno 1 - 10
of 337
pro vyhledávání: '"Jia Zhuo"'
Autor:
Fusen Huang, Jingjie Wang, Ke Wei, Qiuju Xiong, Wenjian Wang, Yi Xu, Jia Zhuo, Qiuling Xia, Tingjun Yang
Publikováno v:
Clinical and Experimental Obstetrics & Gynecology, Vol 51, Iss 2, p 30 (2024)
Background: Placenta accreta spectrum (PAS) can easily lead to life-threatening hemorrhage. However, the association between placental thickness (PT) and massive bleeding remains unclear. Thus, this study investigated the association between PT and m
Externí odkaz:
https://doaj.org/article/9fb127fba76b492aaf029c7271b1918f
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Alopecia areata (AA) is a non-scarring hair loss disorder. Alopecia totalis (AT) and alopecia universalis (AU) are the severe subtypes of AA. Age of onset before 6 years of age, disease duration of more than 1 year, and extensive alopecia involving m
Externí odkaz:
https://doaj.org/article/cb76c260be1c49bbb3ee8ebbc7380982
Autor:
Fusen Huang, Jingjie Wang, Yi Xu, Qiuju Xiong, Wenjian Wang, Jia Zhuo, Qiuling Xia, Xiaojuan Yang
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
PurposeAbnormal placentation is a spectrum disorder that includes creta, increta, and percreta; the term placenta accreta spectrum (PAS) disorders is used as a broad term to describe all of these conditions. PAS can lead to life-threatening hemorrhag
Externí odkaz:
https://doaj.org/article/2f2c3f3a3abd4e0db3b5a23ddccd689e
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 4, p 870 (2023)
Acoustic monitoring is an efficient technique for oil spill detection, and the development of acoustic technology is conducive to achieving real-time monitoring of underwater oil spills, providing data references and guidance for emergency response w
Externí odkaz:
https://doaj.org/article/5e4859bd40124ee7bed8486b5b729f0c
The magnetic inversion method is one of the non-destructive geophysical methods, which aims to estimate the subsurface susceptibility distribution from surface magnetic anomaly data. Recently, supervised deep learning methods have been widely utilize
Externí odkaz:
http://arxiv.org/abs/2308.12193
Autor:
Yang, Hui, Luo, Xiao-Jun, He, Jia-Zhuo, Zeng, Yan-Hong, Mai, Bi-Xian, Wang, Li-Zhong, Bi, Xiang
Publikováno v:
In Environmental Research 1 July 2024 252 Part 4
Publikováno v:
In Construction and Building Materials 14 June 2024 431
Autor:
Xiong, Hao-Qin, Bao, Hao-Ran, Long, Fei, Du, Yan-Yun, Qu, Jia-Zhuo, Luan, Zhe-Xi, Sun, Xiao-Long
Publikováno v:
In Journal of Environmental Chemical Engineering June 2024 12(3)
Publikováno v:
In Journal of Cultural Heritage March-April 2024 66:426-433
Publikováno v:
In Deep Resources Engineering July 2024