Zobrazeno 1 - 10
of 14
pro vyhledávání: '"LuPing Dai"'
Autor:
LuPing Dai
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35273- (2024)
With the widespread application of deep learning technology in various fields, power load forecasting, as an important link in power system operation and planning, has also ushered in new opportunities and challenges. Traditional forecasting methods
Externí odkaz:
https://doaj.org/article/25d910a5bacf40ca8ba30ff0dd7de7bd
Publikováno v:
In Journal of Palaeogeography October 2012 1(2):105-125
Autor:
Dezhi Li, Yu Xiong, Guangqian Zhou, Luping Dai, Tao Liu, Jun Li, Yinghua Zou, Xuemei Chen, Junhui Chen
Publikováno v:
Biochemical and biophysical research communications. 554
Glucocorticoid-induced osteoporosis (GIOP) has emerged as a challenge after long-term glucocorticoid administration during the clinical therapy of diverse diseases. Although some candidates for GIOP treatment have been explored, there is still a lack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80f0f627c65cf5b5ba017e1e9e74062c
https://pubmed.ncbi.nlm.nih.gov/33774277
https://pubmed.ncbi.nlm.nih.gov/33774277
Autor:
Zehua Liu, Jianxin Deng, Luping Dai, Ling Chen, Rehua Wang, Jia Yin, Boya Zhou, Junhui Chen, Xiaorong Ding, Tao Zhou, Wei Zheng, Dewen Yan
Publikováno v:
Journal of vascular research. 58(5)
Objective: This study investigates the synergistic effects of Gleevec (imatinib) and rapamycin on the proliferative and angiogenic properties of mouse bone marrow-derived endothelial progenitor cells (EPCs). Materials and Methods: EPCs were isolated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b712b5a90e1c71df5fc90989b6ea6d5f
https://pubmed.ncbi.nlm.nih.gov/34247157
https://pubmed.ncbi.nlm.nih.gov/34247157
Autor:
Fangping Cheng, Yanqing Wang, Lei Chen, Chaolun Li, Luping Dai, Zhencheng Tao, Xiaocheng Wang
Publikováno v:
Deep Sea Research Part I: Oceanographic Research Papers. 142:107-115
The deep sea has limited food resources and is considered one of the most rigorous environments on Earth. In contrast, zooplankton and their food supply are abundant in shallow sea layers. In this study, the trophic and elemental characteristics of z
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e47b35a3b67d991d693827953559bc8
https://doi.org/10.1016/j.dsr.2018.10.003
https://doi.org/10.1016/j.dsr.2018.10.003
Publikováno v:
Continental Shelf Research. 135:14-22
Knowledge of the zooplankton community in the western tropical Pacific Ocean is poor compared to that of the communities in the central and eastern Pacific Ocean. The zooplankton composition, abundance, biomass and community structure in the western
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ad26f7472cecbaf66e4bd2b1be92a7
https://doi.org/10.1016/j.csr.2017.01.009
https://doi.org/10.1016/j.csr.2017.01.009
Publikováno v:
Deep Sea Research Part I: Oceanographic Research Papers. 121:1-13
In this study, we evaluated the vertical distribution of the zooplankton abundance, biovolume, and size spectra down to greater depths (0–3000 m) in the Pacific western boundary currents of the western tropical North Pacific during autumn 2014 base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe96e159adc43250fa795ab31722d2a
https://doi.org/10.1016/j.dsr.2016.12.015
https://doi.org/10.1016/j.dsr.2016.12.015
Publikováno v:
Journal of Marine Systems. 155:73-83
Horizontal changes in mesozooplankton abundance, biovolume and size spectra at western boundary currents in the subtropical North Pacific during winter 2012 were evaluated by ZooScan measurement on samples collected by net towing from 23 stations. Zo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b508e8e49396fadf1120af92c76b02f2
https://doi.org/10.1016/j.jmarsys.2015.11.004
https://doi.org/10.1016/j.jmarsys.2015.11.004
Publikováno v:
Mechanical Engineering and Control Systems.
In accordance with the technical features of large capacity, non-linear and dead time temperature resistance kiln system. A fuzzy predicted coordinated control algorithm is stated. Enhance tracking and anti-inference capabilities of The algorithm. Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462c850de690c1f0cbb614c460d48e62
https://doi.org/10.1142/9789814740616_0042
https://doi.org/10.1142/9789814740616_0042
Autor:
Wang Shaobin, Xiong Yu, Lin Jiatian, Chen Zaizhong, Dai Luping, Chen Junhui, Shaobin, Wang, Yu, Xiong, Jiatian, Lin, Zaizhong, Chen, Luping, Dai, Junhui, Chen
Publikováno v:
Journal of Cancer Research & Therapeutics; 2016 Supplement 3, Vol. 12 Issue 7, pC166-C170, 5p