Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Xingqi Liu"'
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract The complexity and diversity brought by the distributed architecture of the new generation electric information collection system have deepened the difficulty of constructing evaluation verification index systems and quality evaluation model
Externí odkaz:
https://doaj.org/article/058342b21051431a94a4fb9b74bcb42f
Autor:
Haili Zhang, Jingbo Huang, Yumeng Song, Xingqi Liu, Meichen Qian, Pei Huang, Yuanyuan Li, Ling Zhao, Hualei Wang
Publikováno v:
Animal Models and Experimental Medicine, Vol 5, Iss 5, Pp 418-429 (2022)
Abstract Rabies virus (RABV) is an infectious and neurotropic pathogen that causes rabies and infects humans and almost all warm‐blooded animals, posing a great threat to people and public safety. It is well known that innate immunity is the critic
Externí odkaz:
https://doaj.org/article/d1ef3918f65b40dab7993f723234b6fb
Publikováno v:
Environmental DNA, Vol 4, Iss 2, Pp 425-439 (2022)
Abstract Little is currently known about preservation of plant DNA in lake sediments. Most prior information originates from laboratory experiments while systematic field‐based studies are still lacking. Here, we used the “g” and “h” univer
Externí odkaz:
https://doaj.org/article/729a7fa7429040a7b26d56999380ccce
Autor:
Xingqi Liu, Zhixiang Zou, Jiajun Yang, Jian Tang, Zhiren Liu, Giampaolo Buticchi, Zheng Wang, Ming Cheng
Publikováno v:
IEEE Open Journal of Power Electronics, Vol 3, Pp 61-74 (2022)
The increase proportion of power converters causes stability problems in the radial grid. To address these issues, this paper firstly proposes a unified modeling procedure and applies it to two types of converters. Secondly, the impedance models are
Externí odkaz:
https://doaj.org/article/7d66e3ac11b84fad9a806fa96dcc7ea9
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/5f15a05be1da49cf9bf6dfa2d2b5d237
Autor:
Mengtao Yu, Pei Huang, Yuanguo Li, Yumeng Song, Xingqi Liu, Na Feng, Hongli Jin, Yujie Bai, Haili Zhang, Yuanyuan Li, Xianzhu Xia, Yuwei Gao, Hualei Wang
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
SARS-CoV-2 is a novel coronavirus that has caused a global pandemic. To date, 504,907,616 people have been infected and developed coronavirus disease 2019 (COVID-19). A rapid and simple diagnostic method is needed to control this pandemic. In this st
Externí odkaz:
https://doaj.org/article/29239715e730473d863917d86a0a3a9d
Autor:
Kathleen Stoof-Leichsenring, Sisi Liu, Weihan Jia, Kai Li, Luidmila Pestryakova, Steffen Mischke, Xianyong Cao, Xingqi Liu, Jian Ni, Stefan Neuhaus, Ulrike Herzschuh
Publikováno v:
Biodiversity Data Journal, Vol 8, Iss , Pp 1-15 (2020)
Plant diversity in the Arctic and at high altitudes strongly depends on and rebounds to climatic and environmental variability and is nowadays tremendously impacted by recent climate warming. Therefore, past changes in plant diversity in the high Arc
Externí odkaz:
https://doaj.org/article/22311476096945c28b970a5600ff2299
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
The lacustrine deposition with continuity and chronological reliability is one of the important archives to establish paleo-seismic sequences. In this study, sediment short cores were obtained from Lake Mugeco, located in the Selaha section of the Xi
Externí odkaz:
https://doaj.org/article/75b2fa2afe6745d9ac08b6a6653bcb0a
Publikováno v:
Frontiers in Earth Science, Vol 9 (2022)
The varved sediments of Kusai Lake on the northern Tibetan Plateau are rhythmically laminated with the interaction of dark and light layers formed during winter and summer within a year. This provides opportunities to explore the seasonal fluxes of v
Externí odkaz:
https://doaj.org/article/6280bdc9ee594283b73b1626bbc0bf4c
Autor:
Kai Li, Kathleen R. Stoof-Leichsenring, Sisi Liu, Weihan Jia, Mengna Liao, Xingqi Liu, Jian Ni, Ulrike Herzschuh
Publikováno v:
Ecological Indicators, Vol 132, Iss , Pp 108303- (2021)
Plant DNA from sediments (sedDNA) are increasingly used to reconstruct the past vegetation composition, which contrasts with the few investigations on the relationship between the plant sedDNA signal and modern vegetation. Here, we applied broad-scal
Externí odkaz:
https://doaj.org/article/e4143e7692c44b11bde8f559c636a1da