Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Wei-Wei Feng"'
Autor:
Wei-Wei Feng1, Ye-Gui Qian1, Ting-Hai Wang1, Qing-Yan Cui1, Yuan-Yuan Yue1, Pei Yuan1, Xiao-Jun Bao2
Publikováno v:
Petroleum Science (KeAi Communications Co.). Aug2023, Vol. 20 Issue 4, p2575-2584. 10p.
Autor:
Ming-Chao Liu, Ting-Fa Dong, Wei-Wei Feng, Bo Qu, De-Liang Kong, Mark van Kleunen, Yu-Long Feng
Publikováno v:
NeoBiota, Vol 71, Iss , Pp 1-22 (2022)
Many studies have attempted to test whether certain leaf traits are associated with invasive plants, resulting in discrepant conclusions that may be due to species-specificity. However, no effort has been made to test for effects of species identity
Externí odkaz:
https://doaj.org/article/62d42fcece214738a66a0e2533ae7f74
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Increasing evidence from low-latitude ranges has demonstrated that native parasitic plants are promising biocontrol agents for some major invasive weeds. However, related mechanisms and the effect of environments on the control effect of the parasite
Externí odkaz:
https://doaj.org/article/d4d1e0d1dbac406c81092aad9a88bb30
Autor:
WANG, Bin-bin, FENG, Yi-ming, LUO, Xin, HUANG, Qun, HOU, Zi-xing, WU, Ya-qin, WANG, Peng-yu, QI, Yu-yang, MENG, Qing-fei, WEI, Wei-feng, ZHOU, Liang-jun
Publikováno v:
Transactions of Nonferrous Metals Society of China; October 2024, Vol. 34 Issue: 10 p3344-3357, 14p
Autor:
YU, Hua-ming, CHEN, Dong-ping, ZHANG, Li-jin, HUANG, Shao-zhen, ZHOU, Liang-jun, KUANG, Gui-chao, WEI, Wei-feng, CHEN, Li-bao, CHEN, Yue-jiao
Publikováno v:
Transactions of Nonferrous Metals Society of China; October 2024, Vol. 34 Issue: 10 p3118-3150, 33p
Publikováno v:
Ecological Indicators, Vol 131, Iss , Pp 108140- (2021)
Exotic plant invasions are generally assumed to negatively impact biodiversity of recipient communities. However, experimental evidence for this assumption is little, especially in developing countries. In addition, there is hardly applicable method
Externí odkaz:
https://doaj.org/article/940bee8d3531486b82da21c6833ffc4e
Autor:
He, Yu, Han, Xiao-Peng, Rao, De-Wei, Zhang, Ya-Dong, Zhao, Jun, Zhong, Cheng, Hu, Wen-Bin, Wei, Wei-Feng, Deng, Yi-Da
Publikováno v:
In Nano Energy July 2019 61:267-274
Akademický článek
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Publikováno v:
World Journal of Clinical Cases. 10:12136-12145
Tubal endometriosis (TEM) is a category of pelvic endometriosis (EM) that is characterized by ectopic endometrial glands and/or stroma within any part of the fallopian tube. The fallopian tubes may be a partial source of ovarian endometriosis (OEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cbeab21090d06cd84a1e9768fafe9fd
https://doi.org/10.12998/wjcc.v10.i33.12136
https://doi.org/10.12998/wjcc.v10.i33.12136
Autor:
Hui Chen, Bo-Wen Yang, Le Qian, Yi-Shuang Meng, Xiang-Hui Bai, Xiao-Wei Hong, Xin He, Mei-Jiao Jiang, Fei Yuan, Qin-Wen Du, Wei-Wei Feng
Publikováno v:
Radiology. 304:106-113
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed with multimodal US. Purpose To develop DL algorithms for the automated classification of benign versus malignant ovarian tumors assessed with US and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c193d175f6bb796501ffa30c45b76b4b
https://doi.org/10.1148/radiol.211367
https://doi.org/10.1148/radiol.211367