Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Gao Xingjian"'
Publikováno v:
Online Media and Global Communication, Vol 1, Iss 1, Pp 90-123 (2022)
This study examined the psychological and social factors that affect the performance of preventive behaviors toward COVID-19, by testing a model based on the theory of planned behavior (TPB). Our model featured media exposure and social networking si
Externí odkaz:
https://doaj.org/article/ac2bad6762ef418da8f2b9f6aabe4c9a
Autor:
Jiang Tao, Mao Houping, Chen Qin, Cao Linsheng, He Yanfeng, Gao Xingjian, Chen Wenwei, Zhang Hua
Publikováno v:
Open Medicine, Vol 15, Iss 1, Pp 1153-1162 (2020)
Renal cell carcinoma (RCC) is a malignant tumor originating from renal tubular epithelial cells with poor prognosis and high metastatic rate. Tripartite motif-containing 24 (Trim24) is a member of the tripartite motif (Trim) family and also a valuabl
Externí odkaz:
https://doaj.org/article/0cb83bceddca4898ac911c743c527853
Autor:
Mabel Lee, Gao Xingjian
Publikováno v:
PORTAL: Journal of Multidisciplinary International Studies, Vol 14, Iss 1 (2017)
The 2000 Nobel Laureate for Literature, Gao Xingjian, suffered cardiac arrest while directing rehearsals for his mega-scale opera Snow in August that was due to premiere in late 2002 at the National Opera House, Taipei. He recovered, and the opera pr
Externí odkaz:
https://doaj.org/article/7655aefd926a4a30a3ce485a85e81c9a
Autor:
Dai, Xili, Chen, Ke, Tong, Shengbang, Zhang, Jingyuan, Gao, Xingjian, Li, Mingyang, Pai, Druv, Zhai, Yuexiang, Yuan, XIaojun, Shum, Heung-Yeung, Ni, Lionel M., Ma, Yi
Autoencoding has achieved great empirical success as a framework for learning generative models for natural images. Autoencoders often use generic deep networks as the encoder or decoder, which are difficult to interpret, and the learned representati
Externí odkaz:
http://arxiv.org/abs/2302.09347
Autor:
Dai, Xili, Li, Mingyang, Zhai, Pengyuan, Tong, Shengbang, Gao, Xingjian, Huang, Shao-Lun, Zhu, Zhihui, You, Chong, Ma, Yi
Despite strong empirical performance for image classification, deep neural networks are often regarded as ``black boxes'' and they are difficult to interpret. On the other hand, sparse convolutional models, which assume that a signal can be expressed
Externí odkaz:
http://arxiv.org/abs/2210.12945