Zobrazeno 1 - 10
of 1 474
pro vyhledávání: '"SUN Yuxin"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 6, Pp 1456-1462 (2024)
Skeletal maturity can reflect an individual's developmental status and predict their future growth potential, provide clinicians with valuable diagnostic information. In recent years, significant progress has been made in imaging techniques for asses
Externí odkaz:
https://doaj.org/article/79b1facbbba84665b6041df6da24fa26
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 06, Pp 656-662 (2024)
Background The development of maternal and child health requires reducing urban-rural, regional and group disparities in the health of women and children. Focusing on the quality of life of maternal women in rural areas and other low-income areas is
Externí odkaz:
https://doaj.org/article/0059330f42754ccc93c498544d988acd
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 1325-1338 (2023)
The global ecological environment is fragile, and large-scale coal mining has accelerated the loss of water resources, but it is difficult to quantify its impact. Studies have found that large-scale coal mining has a particularly large impact on the
Externí odkaz:
https://doaj.org/article/733aa6a78db6469d99e805ca83015ba3
Autor:
Chen Yuan, Yin Liqi, Hao Mingxuan, Xu Wenkai, Gao Jixian, Sun Yuxin, Wang Qiao, Chen Shi, Liang Youfeng, Guo Rui, Zhang Jinku, Li Jinmei, Zhai Qiongli, Cheng Runfen, Wang Jiansong, Wang Haifeng, Yang Zhao
Publikováno v:
Acta Pharmaceutica, Vol 73, Iss 2, Pp 211-225 (2023)
Bladder cancer (BC) is the tenth most commonly diagnosed cancer. High recurrence, chemoresistance, and low response rate hinder the effective treatment of BC. Hence, a novel therapeutic strategy in the clinical management of BC is urgently needed. Me
Externí odkaz:
https://doaj.org/article/5fe34c9fd68e49f0948e7473c05ab377
Autor:
Lv Xuejiao, Sun Yuxin, Tan Wenxi, Liu Yang, Wen Naiyan, Fu Shuang, Yu Lanying, Liu Tiantian, Qi Xiaocui, Shu Nanqi, Du Yanwei, Zhang Wenfeng, Meng Yan
Publikováno v:
Open Life Sciences, Vol 16, Iss 1, Pp 1240-1251 (2021)
Externí odkaz:
https://doaj.org/article/bea64f78578f488fb43cb938916e82f6
Autor:
Zhao, Tong, Zhong, Shulin, Sun, Yuxin, Wu, Defan, Zhang, Chunyi, Shi, Rui, Chen, Hao, Ni, Zhenyi, Pi, Xiaodong, Ma, Xiangyang, Lu, Yunhao, Yang, Deren
Pressure-induced phase transformation occurs during silicon (Si) wafering processes. \b{eta}-tin (Si-II) phase is formed at high pressures, followed by the transformation to Si-XII, Si-III or/and amorphous Si ({\alpha}-Si) phases during the subsequen
Externí odkaz:
http://arxiv.org/abs/2412.04732
Autor:
Wu, Yueh-Chun, Halász, Gábor B., Damron, Joshua T., Gai, Zheng, Zhao, Huan, Sun, Yuxin, Dahmen, Karin A, Sohn, Changhee, Carlson, Erica W., Hua, Chengyun, Lin, Shan, Song, Jeongkeun, Lee, Ho Nyung, Lawrie, Benjamin J.
Thermally driven transitions between ferromagnetic and paramagnetic phases are characterized by critical behavior with divergent susceptibilities, long-range correlations, and spin dynamics that can span kHz to GHz scales as the material approaches t
Externí odkaz:
http://arxiv.org/abs/2410.19158
We study the complexity of Non-Gaussian Component Analysis (NGCA) in the Statistical Query (SQ) model. Prior work developed a general methodology to prove SQ lower bounds for this task that have been applicable to a wide range of contexts. In particu
Externí odkaz:
http://arxiv.org/abs/2403.04744
We study the problem of learning mixtures of linear classifiers under Gaussian covariates. Given sample access to a mixture of $r$ distributions on $\mathbb{R}^n$ of the form $(\mathbf{x},y_{\ell})$, $\ell\in [r]$, where $\mathbf{x}\sim\mathcal{N}(0,
Externí odkaz:
http://arxiv.org/abs/2310.11876
Publikováno v:
E3S Web of Conferences, Vol 261, p 02054 (2021)
Biochar is now recognized as an excellent fuel with excellent performance in the combustion process and environmental friendness. As the main raw material of biochar, agricultural, and forestry biomass waste has a high waste rate. Therefore, research
Externí odkaz:
https://doaj.org/article/99a52e9d7cd64597b2dc0264b1d0231e