Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Qinli Yang"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
The terpene synthase (TPS) plays a pivotal roles in plant growth, development, and enhancing resilience against environmental stresses. Despite this, the bioinformatics analysis of the TPS family gene in soybean (Glycine max) is lacking. In this stud
Externí odkaz:
https://doaj.org/article/316e57c516e54fe0a283f13f8809155f
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101652- (2024)
Study region: The Source Region of the Yellow River Basin (SRYRB), China Study focus: To improve daily runoff prediction accuracy in data-scarce areas, this study focuses on incorporating multiple grid-based data (precipitation, EVI, soil moisture (S
Externí odkaz:
https://doaj.org/article/71d7c565641a4b6cb43029e6581ba852
Publikováno v:
Engineering, Vol 24, Iss , Pp 229-238 (2023)
Runoff prediction is of great significance to flood defense. However, due to the complexity and randomness of the runoff process, it is hard to predict daily runoff accurately, especially for peak runoff. To address this issue, this study proposes an
Externí odkaz:
https://doaj.org/article/9c10234d56af40c6908a3cc1d8707da2
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Hydrological modelling is of critical importance to flood control. However, flood forecasting in semi-arid region is a great challenge to hydrologists, particularly in a changing environment. Taking the Zhulong River catchment located in north China
Externí odkaz:
https://doaj.org/article/4dd1d5eb31004a5c84c7a28f2867d376
Publikováno v:
IEEE Access, Vol 6, Pp 10675-10687 (2018)
Location prediction has attracted increasing attention in diverse fields due to its wide applications, such as traffic planning and control, weather forecasting, homeland security, and travel recommendation. Many existing algorithms forecast a user's
Externí odkaz:
https://doaj.org/article/a03d9cf7d770457e9b679b93883396d3
Autor:
Wei Han, Christian Sorg, Changgang Zheng, Qinli Yang, Xiaosong Zhang, Arvid Ternblom, Cobbinah Bernard Mawuli, Lianli Gao, Cheng Luo, Dezhong Yao, Tao Li, Sugai Liang, Junming Shao
Publikováno v:
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
Brain imaging studies have revealed that functional and structural brain connectivity in the so-called triple network (i.e., default mode network (DMN), salience network (SN) and central executive network (CEN)) are consistently altered in schizophre
Externí odkaz:
https://doaj.org/article/8e1cfdf8af24404eb30c6d7e819f0527
Autor:
Xiaoxiang Guan, Jianyun Zhang, Qinli Yang, Xiongpeng Tang, Cuishan Liu, Junliang Jin, Yue Liu, Zhenxin Bao, Guoqing Wang
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4023 (2020)
In this study, 6 widely used precipitation products APHRODITE, CPC_UNI_PRCP, CN05.1, PERSIANN-CDR, Princeton Global Forcing (PGF), and TRMM 3B42 V7 (TMPA), were evaluated against gauge observations (CMA data) from 1998 to 2014, and applied to streamf
Externí odkaz:
https://doaj.org/article/f99f92d4db4243d7b7547a03c5d7f681
Publikováno v:
In Information Sciences December 2023 651
Publikováno v:
Information Sciences. 611:464-475
Publikováno v:
Information Sciences. 602:220-235