Zobrazeno 1 - 10
of 2 454
pro vyhledávání: '"ZHANG Dian"'
Autor:
Zhang Dian, Li Jiawen, Zhang Chao, Xue Jinliang, Li Peihao, Shang Kai, Zhang Xiao, Lang Baoping
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 966-97 (2024)
Many cancers exhibit resistance to chemotherapy, resulting in a poor prognosis. The transcription factor NRF2, activated in response to cellular antioxidants, plays a crucial role in cell survival, proliferation, and resistance to chemotherapy. This
Externí odkaz:
https://doaj.org/article/2e067590031d466ab45c10648b6f4605
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 4, Pp 397-409 (2023)
Periacetabular osteotomy (PAO) is a surgical procedure to correct acetabular orientation in developmental dysplasia of the hip (DDH). In this work, magnetic resonance imaging-based finite element models of hip joint were introduced to perform virtual
Externí odkaz:
https://doaj.org/article/b9b75777b52f42899222e6fab525b7e3
Autor:
Li, Peng-Cheng, Bi, Xiao-Xue, Huang, Ying-Ke, Zhang, Dian-Shuai, Deng, Xiao-Bao, Zhang, Qun, Lei, Ge, Li, Gang, Liu, Yu
Architectural deficiencies in EPICS lead to inefficiency in the development and application of EPICS input/output controllers (IOCs). An unintrusive solution is replacing EPICS IOCs with more maintainable and flexible Python IOCs, only reusing the Ch
Externí odkaz:
http://arxiv.org/abs/2411.01258
Publikováno v:
Gong-kuang zidonghua, Vol 46, Iss 6, Pp 65-71 (2020)
In view of problems such as difficulty in verifying reliability of research results, the single method is often used to study distribution law of hydrogen sulfide (H2S) concentration in fully mechanized caving face of coal mine, taking a coal mine wo
Externí odkaz:
https://doaj.org/article/8554b9f384fb446bbb01563b53a5fd48
Publikováno v:
Jisuanji kexue yu tansuo, Vol 14, Iss 2, Pp 317-324 (2020)
In order to achieve high-precision real-time face recognition on embedded and mobile devices, the advant-ages and disadvantages of common networks in face recognition are analyzed, and an efficient deep convolution neural network model Lightfacenet i
Externí odkaz:
https://doaj.org/article/d045f19629c247a799f1c558cfcda6ad
Publikováno v:
E3S Web of Conferences, Vol 441, p 02021 (2023)
With the improvement of automation degree of coal mine mechanical and electrical equipments, such as conveyors, crushers, mining motors, inverters, and a large number of non-linear loads, cause large reactive power consumption, power factor of coal m
Externí odkaz:
https://doaj.org/article/5e1db15bf1dd4084a1f30e725794f6dd
Large-scale multimodal language models (LMMs) have achieved remarkable success in general domains. However, the exploration of diagnostic language models based on multimodal cephalometric medical data remains limited. In this paper, we propose a nove
Externí odkaz:
http://arxiv.org/abs/2307.07518
Autor:
Wang, Fei, Jia, Feng-Dong, Liang, Wei-Chen, Li, Xiao-Kang, Wang, Yu-Han, Qian, Jing-Yu, Zhang, Dian-Cheng, Wu, Yong, Wang, Jian-Guo, Lu, Rong-Hua, Xu, Xiang-Yuan, Ruan, Ya-Ping, Xue, Ping, Zhong, Zhi-Ping
Based on the Rb$^+$-Rb hybrid trap, we investigate the effect of ion-atom elastic collisions on the number and temperature of the remaining atoms. We measured the remaining atomic number and temperature as a function of the wavelength and intensity o
Externí odkaz:
http://arxiv.org/abs/2303.10364
Autor:
Zhang, Dian1 (AUTHOR), Zhou, Hongyan2,3,4 (AUTHOR), Zhou, Tianli2,3 (AUTHOR), Chang, Yan3 (AUTHOR), Wang, Lei5 (AUTHOR), Sheng, Mao1 (AUTHOR), Jia, Huihui1 (AUTHOR) jiahuihui0405@163.com, Yang, Xiaodong2,3 (AUTHOR) xiaodong.yang@sibet.ac.cn
Publikováno v:
BioMedical Engineering OnLine. 10/5/2024, Vol. 23 Issue 1, p1-16. 16p.
Autor:
ZHANG Dian-rong
Publikováno v:
Gong-kuang zidonghua, Vol 38, Iss 8, Pp 18-20 (2012)
Constitution, cableless measuring principle and design of key parts of novel mine-used cableless borehole inclinometer were introduced. Working principle of the cableless borehole inclinometer is based on the synchronous technology, that is, connect
Externí odkaz:
https://doaj.org/article/9b25775dde1b401fbde224436746c422