Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Liujia, Xu"'
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5948 (2022)
Short-term rainfall prediction by radar echo map extrapolation has been a very hot area of research in recent years, which is also an area worth studying owing to its importance for precipitation disaster prevention. Existing methods have some shortc
Externí odkaz:
https://doaj.org/article/33d1e12c251c475d8a6f7e2f6e16ba6e
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4285 (2021)
Precipitation nowcasting by radar echo extrapolation using machine learning algorithms is a field worthy of further study, since rainfall prediction is essential in work and life. Current methods of predicting the radar echo images need further impro
Externí odkaz:
https://doaj.org/article/91fc300347da4d7ead39ef8829b57cc5
Autor:
Tao Yang, Yufei Zhang, Liujia Xu, Hao Zhu, Juntao Zhang, Zheng Guo, Fenghong Huang, Mingming Zheng
Publikováno v:
Yang, T, Zhang, Y, Xu, L, Zhu, H, Zhang, J, Guo, Z, Huang, F & Zheng, M 2022, ' pH-Switchable Pickering Interfacial Biocatalysis: One-Pot Enzymatic Synthesis of Phytosterol Esters with Low-Value Rice Bran Oi ', ACS Sustainable Chemistry & Engineering, vol. 10, no. 21, pp. 6963–6972 . https://doi.org/10.1021/acssuschemeng.1c08719
Herein, a pH-switchable Pickering interfacial biocatalysis (PIB) system is proposed and applied to a solvent-free biphasic biocatalysis. The oil-in-water emulsion was stabilized by amine-functionalized hollow mesoporous silica nanospheres (HMSS-N), w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99b0554f1552f54946b1c0a846e79e62
https://doi.org/10.1021/acssuschemeng.1c08719
https://doi.org/10.1021/acssuschemeng.1c08719
Publikováno v:
Food Chemistry. 393:133440
Rice bran oil (RBO) contains a variety of nutrients, but the high acid values largely hinder its processing into edible oil. Thus, the tandem continuous-flow reactors are proposed and developed for the enzymatic deacidification of RBO and simultaneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15a2749610859e172e09dab1e69e7d3f
https://doi.org/10.1016/j.foodchem.2022.133440
https://doi.org/10.1016/j.foodchem.2022.133440
Publikováno v:
2020 International Conference on Unmanned Aircraft Systems (ICUAS).
The short-term precipitation change has a profound impact on people's daily lives, thus it is vital to predict short-term precipitation accurately. Compared with conventional 2D sequence prediction based on radar echo images, a multi-channel ConvLSTM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba31b0eab76e90495f195ec5bf0d1c04
https://doi.org/10.1109/icuas48674.2020.9213930
https://doi.org/10.1109/icuas48674.2020.9213930
Publikováno v:
Remote Sensing, Vol 13, Iss 4285, p 4285 (2021)
Remote Sensing; Volume 13; Issue 21; Pages: 4285
Remote Sensing; Volume 13; Issue 21; Pages: 4285
Precipitation nowcasting by radar echo extrapolation using machine learning algorithms is a field worthy of further study, since rainfall prediction is essential in work and life. Current methods of predicting the radar echo images need further impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de8b90a28f1e5c0597ccb75fb7093a46
https://doi.org/10.3390/rs13214285
https://doi.org/10.3390/rs13214285
An Approach to Office Automation at NIAS--Implementation of a Data Base System for Students' Records
Autor:
Liujia, Xu
Publikováno v:
長崎総合科学大学紀要 = The Bulletin of Nagasaki Institute of Applied Science. 28(1):p77-85
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::42dbcbf88f067dcd38e45b83f229a7fe
http://id.nii.ac.jp/1101/00000485/
http://id.nii.ac.jp/1101/00000485/