Zobrazeno 1 - 10
of 1 313
pro vyhledávání: '"ZHU Xiaojun"'
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 5, Pp 32-47 (2024)
Flexible materials to achieve deformable wing technology requires high mechanical properties of flexible materials，the existing research on chiral structures as flexible materials to drive deformable wings is based on the case of linear small defor
Externí odkaz:
https://doaj.org/article/5da93823cff74c8183da9bcd8b071ad2
Autor:
Kang Yao, Zhu Xiaojun, Zhao Tingxiao, Liao Shiyao, Ji Lichen, Zhang Wei, Li Yanlei, Tian Jinlong, Ding Xiaoyan, Zhang Jun, Bi Qing, Lv Jun
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-17 (2023)
Abstract Background Breast cancer (BC) patients tend to suffer from distant metastasis, especially bone metastasis. Methods All the analysis based on open-accessed data was performed in R software, dependent on multiple algorithms and packages. The R
Externí odkaz:
https://doaj.org/article/479ce5c5d54847018b93db7da805815c
Autor:
Zhu Xiaojun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The feature quantity of higher education student management data is calculated, and the feature extraction is carried out to obtain the feature solution vector. The feature quantity of higher education student management data is calculated and extrac
Externí odkaz:
https://doaj.org/article/f73b2eae7e7d44eeab89d259e0284446
Autor:
Kang Yao, Zhu Xiaojun, Zhao Tingxiao, Liao Shiyao, Ji Lichen, Zhang Wei, Li Yanlei, Tian Jinlong, Ding Xiaoyan, Zhang Jun, Bi Qing, Lv Jun
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/ce2bdcb0b8a545efb4106ecb2db40bb5
Publikováno v:
Nantong Daxue xuebao. Ziran kexue ban, Vol 21, Iss 2, Pp 38-48 (2022)
Externí odkaz:
https://doaj.org/article/e45a317577444e16b64e3b60e531c91c
Publikováno v:
Nantong Daxue xuebao. Ziran kexue ban, Vol 20, Iss 3, Pp 88-94 (2021)
A high sensitivity vibration sensor based on polarization-maintaining microfiber Mach-Zehnder interferometer(MMZI) is studied. By using the fused taper technology, the polarization-maintaining fiber is tapered into a polarization-maintaining-non-pola
Externí odkaz:
https://doaj.org/article/b887325c67634d63a5be88cde00a5b3c
Publikováno v:
Science and Engineering of Composite Materials, Vol 24, Iss 2, Pp 279-288 (2017)
The primary goal of this paper is to investigate the combined effects of strain rate and microscopic parameters (fiber off-axis orientation, array pattern and cross-sectional shape) on the mechanical behavior of metal matrix composites (MMCs). To thi
Externí odkaz:
https://doaj.org/article/6eccef2075aa4f75ae8dafed27501a70
Publikováno v:
Science and Engineering of Composite Materials, Vol 24, Iss 1, Pp 41-51 (2017)
This study presents a new micromechanical model to investigate the effects of thermal residual stresses and interfacial properties on the transverse behaviors of SiC/Ti composites with different microstructures. In this model, the fiber-matrix interf
Externí odkaz:
https://doaj.org/article/6f116ea0c21e46b9b796340405c9846c
Autor:
Xiang, Shuiying, Shi, Yuechun, Zhang, Yahui, Guo, Xingxing, Zheng, Ling, Han, Yanan, Zhang, Yuna, Song, Ziwei, Zheng, Dianzhuang, Zhang, Tao, Wang, Hailing, Zhu, Xiaojun, Chen, Xiangfei, Qiu, Min, Shen, Yichen, Zheng, Wanhua, Hao, Yue
Neuromorphic photonic computing has emerged as a competitive computing paradigm to overcome the bottlenecks of the von-Neumann architecture. Linear weighting and nonlinear spiking activation are two fundamental functions of a photonic spiking neural
Externí odkaz:
http://arxiv.org/abs/2306.02724
Autor:
Xiang, Shuiying, Shi, Yuechun, Guo, Xingxing, Zhang, Yahui, Wang, Hongji, Zheng, Dianzhuang, Song, Ziwei, Han, Yanan, Gao, Shuang, Zhao, Shihao, Gu, Biling, Wang, Hailing, Zhu, Xiaojun, Hou, Lianping, Chen, Xiangfei, Zheng, Wanhua, Ma, Xiaohua, Hao, Yue
Photonic neuromorphic computing has emerged as a promising avenue toward building a low-latency and energy-efficient non-von-Neuman computing system. Photonic spiking neural network (PSNN) exploits brain-like spatiotemporal processing to realize high
Externí odkaz:
http://arxiv.org/abs/2204.08362