Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Guo-Shuai LI"'
Publikováno v:
Advances in Climate Change Research, Vol 11, Iss 1, Pp 11-21 (2020)
To understand the variations in surface water associated with changes in air temperature, precipitation, and permafrost in the Headwater Area of the Yellow River (HAYR), we studied the dynamics of alpine lakes larger than 0.01 km2 during 1986–2019
Externí odkaz:
https://doaj.org/article/39e2415edf024c5a822c5d15937b5851
Publikováno v:
Renewable Energy. 152:23-33
In this study, the efficiency of a large aperture 2-stage parabolic trough concentrator (PTC) is improved using an innovative design method for the secondary reflector (SR). The design method is based on an adaptive approach in which the SR is step-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::876abdabe9f1fd81e2abde799932a833
https://doi.org/10.1016/j.renene.2020.01.019
https://doi.org/10.1016/j.renene.2020.01.019
Publikováno v:
Advances in Climate Change Research, Vol 11, Iss 1, Pp 11-21 (2020)
To understand the variations in surface water associated with changes in air temperature, precipitation, and permafrost in the Headwater Area of the Yellow River (HAYR), we studied the dynamics of alpine lakes larger than 0.01 km2 during 1986–2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::657c2edc75d32801aa639cb5e84e42d5
http://www.sciencedirect.com/science/article/pii/S1674927820300253
http://www.sciencedirect.com/science/article/pii/S1674927820300253
Autor:
Guo-Shuai, Li, Yang, Ma, Ting, Geng, Xia, Gao, Wen-Zhe, Huang, Liang, Cao, Wei, Xiao, Zhen-Zhong, Wang
Publikováno v:
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica. 44(2)
The study aims to qualitatively analyze the chemical composition of compound Nanxing acesodyne plaster by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry( UPLC-Q-TOF-MS/MS). The analysis was performed on Agile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8620479b7b85d7a440256713a1bdef94
https://pubmed.ncbi.nlm.nih.gov/30989949
https://pubmed.ncbi.nlm.nih.gov/30989949
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 24, Iss 1, p 089 (2013)
To study the micro-meteorological effects of different underlying surfaces of structures to protect the Mogao Grottoes, we analyzed basic meteorological measurements collected at weather stations located in front of the grottoes, on top of the grotto
Externí odkaz:
https://doaj.org/article/4a8494f5d83d45b693d6b823d2b3f5d9
Publikováno v:
Scientific Reports. 3/14/2014, p1-8. 8p.
Publikováno v:
Applied Mechanics and Materials. 610:519-522
In order to intelligentize the LED lighting systems,this system adopts the Freescale series MC9S08AC16 as the controller, senses the light environment induced by the photoresistor and uses the SS-101 pyroelectric infrared sensors to sense the presenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1248e134eb859e0f43994fabafddd52
https://doi.org/10.4028/www.scientific.net/amm.610.519
https://doi.org/10.4028/www.scientific.net/amm.610.519
Publikováno v:
International Journal of Climatology. 33:1863-1872
This article presents research on destructive environmental mechanisms affecting the murals in the Mogao Grottoes, specifically Grotto 72, from a meteorological perspective. Analysis of outside monitoring data during 1999-2008 shows that condensation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::156af2d8b90d0804b5270ecc37bdd1b6
https://doi.org/10.1002/joc.3553
https://doi.org/10.1002/joc.3553
Publikováno v:
Adaptation, Learning, and Optimization ISBN: 9783319047409
Neural networks have been proved to be efficient for online identification and prediction of complex nonlinear systems. However, for systems with time-varying dynamics which are common in practice, networks achieved by holistic learning scheme cannot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35acfe2985621906b61217e3f21123c9
https://doi.org/10.1007/978-3-319-04741-6_4
https://doi.org/10.1007/978-3-319-04741-6_4
Publikováno v:
Scientific Reports
Gravel beds can prevent sand-dust emission and weaken sand-dust flux. We used wind-tunnel experiments and field observations on artificial gravel beds above the Mogao Grottoes to quantify their impact. In the report, we identified a significant corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fce6cb194a3bef1d94f682f64850267
https://pubmed.ncbi.nlm.nih.gov/24614183
https://pubmed.ncbi.nlm.nih.gov/24614183