Zobrazeno 1 - 10
of 3 973
pro vyhledávání: '"Luo Ting"'
Publikováno v:
Journal of Aeronautical Materials, Vol 44, Iss 1, Pp 152-162 (2024)
The additive friction stir deposition（AFSD）experiment of 2219 aluminum alloy was conducted under the process parameters of the spindle rotational speed of 250-350 r/min and transverse speed of 50-150 mm/min，the effects of varying process parame
Externí odkaz:
https://doaj.org/article/18d32b8c4e5e4e1e83483eb554b26c05
Autor:
Luo Ting
Publikováno v:
Advances in Nonlinear Analysis, Vol 13, Iss 1, Pp 1661-1664 (2024)
Consideration herein is the stability issue of peaked solitary wave solution for the modified Camassa-Holm-Novikov equation, which is derived from the shallow water theory. This wave configuration accommodates the ordered trains of the modified Camas
Externí odkaz:
https://doaj.org/article/b1e3f11cbb44475d925e413baf40dbec
Autor:
Bu Hong, Fan Ying, Fan Zhaoqing, Hu Xichun, Li Man, Li Qiao, Liao Ning, Luo Ting, Nie Jianyun, Pan Yueyin, Qi Xiaowei, Shao Zhimin, Song Guohong, Sun Tao, Teng Yue-e, Tong Zhongsheng, Wang Jiayu, Wang Shusen, Wang Xue, Wang Yongsheng, Wang Zhonghua, Xu Binghe, Xu Ling, Xue Yan, Yang Wentao, Yao Herui, Ying Jianming, Yuan Peng, Zhang Jian, Zhang Qingyuan, Zhang Yongqiang, Zhao Jiuda
Publikováno v:
Journal of the National Cancer Center, Vol 3, Iss 4, Pp 266-272 (2023)
Treatment of breast cancer with low expression of human epidermal growth factor receptor 2 (HER2; HER2-low) has drawn much attention in recent years. With the proven therapeutic effect of trastuzumab deruxtecan (T-DXd) in patients with HER2-low (immu
Externí odkaz:
https://doaj.org/article/256852e51361455da409e1403a8b21fa
Autor:
Deng Yali, She Lifei, Li Xiaoye, Lai Weisi, Yu Ling, Zhang Wen, Nie Yanting, Xiao Songyuan, Liu Hongyu, Zhou Yang, Luo Ting, Deng Wen, Liu Jinyu, Zhou Xihong, Wen Ying, Zhong Yanhong, Xiao Lingyi, Ding Yiling, Peng Mei
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1840-1848 (2022)
This study investigated the implication of monitoring hypertensive disorders in pregnancy (HDP) to prevent preeclampsia (PE) in pregnant women of advanced maternal age. Between January 2016 and April 2021, 262 consecutive pregnant women aged ≥40 ye
Externí odkaz:
https://doaj.org/article/ef31dccf82ab49438a24abc4c8118ba7
Publikováno v:
Journal of Isotopes, Vol 35, Iss 4, Pp 382-389 (2022)
Nickel-63 radioactive sources used in micro nuclear batteries require high surface emissivity, thin coating and small substrate. The method for the preparation of nickel-63 radioactive sources by direct and constant current electrodeposition was esta
Externí odkaz:
https://doaj.org/article/3dfe1c6e722d473cb913cc518e761da0
Publikováno v:
口腔疾病防治, Vol 30, Iss 6, Pp 443-448 (2022)
Enamel demineralization is one of the most common adverse reactions to orthodontic treatment. The existence of orthodontic appliances affects oral hygiene maintenance, which easily leads to plaque accumulation and oral flora dysbiosis, and cariogenic
Externí odkaz:
https://doaj.org/article/44af97e0652c43df9dce55a60bda6675
Identification of critical nodes is a prominent topic in the study of complex networks. Numerous methods have been proposed, yet most exhibit inherent limitations. Traditional approaches primarily analyze specific structural features of the network;
Externí odkaz:
http://arxiv.org/abs/2406.16560
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundPyrotinib is a newly-developed irreversible pan-ErbB (erythroblastic leukemia viral oncogene homolog) receptor oral tyrosine kinase inhibitor (TKI) with promising efficacy in the human epidermal growth factor receptor-2 (HER2) positive brea
Externí odkaz:
https://doaj.org/article/7f962b417da1463cb0a120d21195cbaa
Underwater imaging often suffers from low quality due to factors affecting light propagation and absorption in water. To improve image quality, some underwater image enhancement (UIE) methods based on convolutional neural networks (CNN) and Transform
Externí odkaz:
http://arxiv.org/abs/2405.08419
Emotion decoding using Electroencephalography (EEG)-based affective brain-computer interfaces represents a significant area within the field of affective computing. In the present study, we propose a novel non-deep transfer learning method, termed as
Externí odkaz:
http://arxiv.org/abs/2404.15615