Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gao-Yan Chen"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 5, Pp 225-232 (2024)
Using data independent acquisition (DIA) proteomics, the composition and biological functions of differentially expressed proteins in raw milk during cold storage at 4 ℃ for up to 6 days were investigated. A total of 902 proteins were detected. Amo
Externí odkaz:
https://doaj.org/article/62913531702e4145a5db2220b923c26e
Autor:
Yang, Jia-Hui, Gao, Yan-Chen, Jia, Lang, Wang, Wen-Juan, Wu, Qing-Bai, Zvomuya, Francis, Dyck, Miles, He, Hai-Long
Publikováno v:
In Advances in Climate Change Research June 2024 15(3):476-489
Publikováno v:
Current Medical Science
Summary The present study aimed to examine the effectiveness of bi-level positive airway pressure (BiPAP) versus continuous positive airway pressure (CPAP) in preterm infants with birth weight less than 1500 g and respiratory distress syndrome (RDS)
Autor:
Gao-yan, Chen, Cheng-wei, Chen, Qing-chun, Fu, Xiao-jin, Wang, Liu-da, Ni, Xiao-hua, Jiang, Feng, Zhou, Li-qin, Shi, Rong-tao, Lai, Jun, Yang
Publikováno v:
Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology. 20(3)
To set up the drug lymphocyte stimulation test (DLST), as a diagnosis means for DILI which was immunity idiosyncrasy, improve the Diagnosis, level of DILI.For the 59 patients who diagnosed as DILI, we separated their PBMC, exploring to the suspicious
Publikováno v:
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
Filtered by the orthogonal signal correction technique, the selected process measurements projected by NN-PLS algorithm to build the soft component analyzer. Thus a new approach proposed to solve the delayed feedback quality signal of the Tennessee E
Publikováno v:
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
A new generalized multi-way PLS (GMPLS) algorithm is proposed to build the predictive model of the Mooney-viscosity of the mixing rubber as an alternative of the rigorous mechanism model. This predictive model is optimized by the variable-selecting p
Publikováno v:
Fifth World Congress on Intelligent Control & Automation (IEEE Cat. No.04EX788); 2004, p3653-3653, 1p
Publikováno v:
Fifth World Congress on Intelligent Control & Automation (IEEE Cat. No.04EX788); 2004, p3295-3295, 1p