Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Junxia, Zhao"'
Autor:
LI Ke, WANG Yanqiu, ZHANG Yixue, ZHANG Junxia, ZHAO Yingying, DU Manting, WANG Yu, BAI Yanhong
Publikováno v:
Shipin Kexue, Vol 44, Iss 9, Pp 58-65 (2023)
Emulsions prepared using myofibrillar protein (MP) as an emulsifier have poor stability under low NaCl condition. The effect of high-intensity ultrasound (HIU) treatment (frequency of 20 kHz, and power of 450 W) for different periods of time (0, 3, 6
Externí odkaz:
https://doaj.org/article/ea045719d5fa460585bb8320938b4769
Autor:
Xiaolin Wang, Weinan Na, Ying Yang, Wenwen Zhang, Junxia Zhao, Tingting Zhang, Yuanji Zhou, Hua Liu, Dong Zhao, Shengyuan Yu
Publikováno v:
The Journal of Headache and Pain, Vol 24, Iss 1, Pp 1-10 (2023)
Abstract To explore the possibility of further dividing migraine without aura (MWA), 1444 female patients fulfilled the criterion were recruited, and grouped basing on the association of MWA onset with menarche and childbirth (group J1, onset before
Externí odkaz:
https://doaj.org/article/327fbc68539d4ebd892cf30ae01047c6
Publikováno v:
IEEE Access, Vol 8, Pp 166335-166346 (2020)
Image classification using deep transfer learning has received significant attention, benefiting from pre-trained with the large-scale annotation dataset and continuous improvement of neural network structure. In contrast to universal image classific
Externí odkaz:
https://doaj.org/article/ffed868ff6a542b98a50d5f382af4002
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Compared to linear independent component analysis (ICA), non-linear ICA is more suitable for the decomposition of mixed components. Existing studies of functional magnetic resonance imaging (fMRI) data by using linear ICA assume that the brain's mixe
Externí odkaz:
https://doaj.org/article/6f8b4f83618a4cb48cf1e3b94c21e1f4
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Some functional magnetic resonance imaging (fMRI) researches in autism spectrum disorder (ASD) patients have shown that ASD patients have significant impairment in brain response. However, few researchers have studied the functional structure changes
Externí odkaz:
https://doaj.org/article/b7c22d4943884e04b0259f91c95b60ae
Autor:
Liangpo Liu, Peixia Yan, Xuan Liu, Junxia Zhao, Meiping Tian, Qingyu Huang, Jianbo Yan, Zhendong Tong, Yongli Zhang, Jie Zhang, Tongjie Zhang, Jianquan Guo, Guiying Liu, Xia Bian, Ben Li, Tong Wang, Heng Wang, Heqing Shen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dd0f17d4e308e153f13450e31870f41
https://doi.org/10.2139/ssrn.4354960
https://doi.org/10.2139/ssrn.4354960
Publikováno v:
Chemistry of Natural Compounds. 58:788-790
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::735d2c1623878c799eec714e052b6ad6
https://doi.org/10.1007/s10600-022-03797-5
https://doi.org/10.1007/s10600-022-03797-5
Autor:
Xia-An Bi, Junxia Zhao
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0181049 (2017)
With the development of computer network bandwidth, packet classification algorithms which are able to deal with large-scale rule sets are in urgent need. Among the existing algorithms, researches on packet classification algorithms based on hierarch
Externí odkaz:
https://doaj.org/article/9ab3654a7a244cd8bd115e08988194e1
Autor:
Yu Yang, Jiazheng Jiang, Luobu Qimei, Xiaojing Yan, Junxia Zhao, Huizhu Yuan, Zhaohai Qin, Mingan Wang
Publikováno v:
Molecules, Vol 15, Iss 10, Pp 7075-7082 (2010)
A new C9 monoterpenoid acid (litseacubebic acid, 1) and a known monoterpene lactone (6R)-3,7-dimethyl-7-hydroxy-2-octen-6-olide (2), along with three known compounds – vanillic acid (3), trans-3,4,5-trimethoxylcinnamyl alcohol (4), and oxonantenine
Externí odkaz:
https://doaj.org/article/a78666db17ae46cab6e399d203b17204
Autor:
Liangpo Liu, Peixia Yan, Jifang Lv, Xuan Liu, Junxia Zhao, Jianquan Guo, Guiying Liu, Xia Bian, Linying Gao, Wei Yan, Qiansheng Huang, Guixia Chen
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3906853840b61a0bcff80c2c8d04a8db
https://doi.org/10.2139/ssrn.4053444
https://doi.org/10.2139/ssrn.4053444