Zobrazeno 1 - 10
of 1 013
pro vyhledávání: '"Yang, Fangfang"'
Autor:
YUAN Dehui, LI Yuhong, XIONG Min, YU Min, MA Ruiliang, YANG Fangfang, YU Qiaozhi, WANG Minghuan
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 32, Pp 4057-4063 (2023)
Background As an objective index to evaluate chronic stress, allostatic load (AL) is associated with adverse pregnancy outcomes. At present, there are few longitudinal studies to analyze the influencing factors of AL among pregnant women. Objective T
Externí odkaz:
https://doaj.org/article/f9db08fd2f9e42bab194301f9aa2d118
Autor:
WANG Minghuan, LI Yuhong, YU Min, WANG Yougang, YU Qiaozhi, YANG Fangfang, YUAN Dehui, ZHANG Liu
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 32, Pp 4064-4069 (2023)
Background The incidence of adverse pregnancy outcomes has remained high in recent years, which poses a serious threat to maternal and neonatal life and health. Chronic stress is known to be a risk factor for adverse pregnancy outcomes, while the rel
Externí odkaz:
https://doaj.org/article/a16a152fb6fe4b1894b06bf3b7ca9077
Publikováno v:
In Marine Environmental Research July 2024 199
Publikováno v:
In Heliyon 15 June 2024 10(11)
Autor:
Yang, Fangfang, Li, Jialu, Dong, Jun, Chen, Siyu, Hu, Wenyu, Zhang, Yufan, Wang, Huiqi, Li, Zhanfeng, Wang, Zonghua
Publikováno v:
In Separation and Purification Technology 13 June 2024 337
Publikováno v:
In LWT 1 June 2024 201
Autor:
Yang, Fangfang, Cui, Sumin, Cai, Mengyi, Feng, Fangming, Zhao, Meihui, Sun, Mengchen, Zhang, Weiying
Publikováno v:
In European Journal of Oncology Nursing June 2024 70
The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety. In this paper, we propose an attention-powered deep convolutional network (AttnConv-net) to detect multiple rail components inclu
Externí odkaz:
http://arxiv.org/abs/2108.02423
Automated inspection and detection of foreign objects on railways is important for rail transportation safety as it helps prevent potential accidents and trains derailment. Most existing vision-based approaches focus on the detection of frontal intru
Externí odkaz:
http://arxiv.org/abs/2108.02421
Autor:
Hu, Jiahong1 (AUTHOR), Yang, Fangfang2 (AUTHOR), Liu, Chong1 (AUTHOR), Wang, Nengzhi1 (AUTHOR), Xiao, Yinghan2 (AUTHOR), Zhai, Yujie1 (AUTHOR), Wang, Xinru1 (AUTHOR), Zhang, Ren1 (AUTHOR), Gao, Lulu1 (AUTHOR), Xu, Mengli3 (AUTHOR), Wang, Jialu1 (AUTHOR), Liu, Zheng3 (AUTHOR), Huang, Songlin3 (AUTHOR), Liu, Wenfeng2 (AUTHOR), Hu, Yajing1 (AUTHOR), Liu, Feng2 (AUTHOR), Guo, Yuqi2 (AUTHOR), Wang, Liang2 (AUTHOR), Yuan, Jing1 (AUTHOR) yuanj@hust.edu.cn, Zhang, Zhihong1,3 (AUTHOR) czyzzh@mail.hust.edu.cn
Publikováno v:
Communications Biology. 4/1/2024, Vol. 7 Issue 1, p1-13. 13p.