Zobrazeno 1 - 10
of 2 951
pro vyhledávání: '"Chen Yuxin"'
Autor:
Dai Jing, Dong Xiang, Chen Yuxin, Xue Wanying, Wang Qingqing, Shang Feifei, Zhao Yunxia, Li Shujing, Gao Yu, Wang Yuanyuan
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 673-81 (2023)
Speckle type BTB/POZ protein (SPOP) may have cancer promoting or inhibiting effects. At present, the role of SPOP in hepatocellular carcinoma (HCC) has rarely been studied. In this study, to investigate the effects of SPOP in HCC and elucidate the un
Externí odkaz:
https://doaj.org/article/281491231ccc452d9fdef99bc389e8b1
Autor:
Wang Zhizhang, Ji Jitao, Ye Xin, Chen Yuxin, Li Xueyun, Song Wange, Fang Bin, Chen Ji, Zhu Shining, Li Tao
Publikováno v:
Nanophotonics, Vol 12, Iss 13, Pp 2425-2432 (2023)
Optical phased array (OPA), as a promising beam steering technology, however, usually suffers from a narrow field of view (FOV) that limits its performances in applications. A miniaturized compact strategy to enlarge the beam steering angle is quite
Externí odkaz:
https://doaj.org/article/3ec505982962422ca7734bd3c7dfa460
Autor:
Chen Yuxin, Wang Yan
Publikováno v:
E3S Web of Conferences, Vol 528, p 03011 (2024)
In this paper, based on the panel data of China's carbon dioxide emissions, economic and energy development from 2000 to 2022, per capita GDP and carbon emissions are used as analysis indicators.The environmental Kuznets theory serves as the basis fo
Externí odkaz:
https://doaj.org/article/829b82296561419198a492a443d6a0d6
Publikováno v:
Open Life Sciences, Vol 17, Iss 1, Pp 248-260 (2022)
Circular RNAs (circRNAs) have previously been confirmed to function as vital regulators in multiple human cancers, including hepatocellular carcinoma (HCC). This study aimed to clarify the role and underlying molecular mechanisms of circ-CFH in HCC.
Externí odkaz:
https://doaj.org/article/fc91f12a05c446428262302da7f80059
Publikováno v:
Open Chemistry, Vol 20, Iss 1, Pp 23-39 (2022)
Traditional Chinese medicine contains arsenic (As), which in the natural environment accumulates in plants during the growth of Chinese medicinal materials; there are mineral medicines containing As in Chinese patent medicine such as As4S4, As2S3, et
Externí odkaz:
https://doaj.org/article/bcbfbd1940e142e8aeb27a2820b76e76
Autor:
Peng Congnan, Zhou Juntong, Sun Yaxuan, Yin Hang, Chen Yuxin, Yao Li, Qi Kailin, Huo Qing, Xie Fei
Publikováno v:
Open Chemistry, Vol 19, Iss 1, Pp 1288-1295 (2021)
Arsenic (As) accumulated in genuine medicinal materials will not only deteriorate the original medicinal properties of the medicinal materials but also harm the eater’s body. In this study, inductively coupled plasma mass spectrometry (ICP-MS) tech
Externí odkaz:
https://doaj.org/article/9aacb9960d9247d386cf18c0cff9ddb3
Autor:
Peng Congnan, Zhang Qian, Liu Jian-an, Wang Zhen-peng, Zhao Zhen-wen, Kang Ning, Chen Yuxin, Huo Qing
Publikováno v:
Green Processing and Synthesis, Vol 10, Iss 1, Pp 700-710 (2021)
The structures of lipids are diverse, and thus, lipids show various biological functions. Systematic determination of lipids in organisms has always been a concern. In this paper, a methodology on the matrix-assisted laser desorption ionization mass
Externí odkaz:
https://doaj.org/article/34887cfcde1e4901ba8d4fb8321b1d50
To unbiasedly evaluate multiple target policies, the dominant approach among RL practitioners is to run and evaluate each target policy separately. However, this evaluation method is far from efficient because samples are not shared across policies,
Externí odkaz:
http://arxiv.org/abs/2408.08706
Diffusion models, which convert noise into new data instances by learning to reverse a diffusion process, have become a cornerstone in contemporary generative modeling. In this work, we develop non-asymptotic convergence theory for a popular diffusio
Externí odkaz:
http://arxiv.org/abs/2408.02320
Autor:
Chen, Yuxin, Ma, Zongyang, Zhang, Ziqi, Qi, Zhongang, Yuan, Chunfeng, Li, Bing, Pu, Junfu, Shan, Ying, Qi, Xiaojuan, Hu, Weiming
Dominant dual-encoder models enable efficient image-text retrieval but suffer from limited accuracy while the cross-encoder models offer higher accuracy at the expense of efficiency. Distilling cross-modality matching knowledge from cross-encoder to
Externí odkaz:
http://arxiv.org/abs/2407.07479