Zobrazeno 1 - 10
of 1 636
pro vyhledávání: '"Sun Lijuan"'
Autor:
Zhang Juan, Guo Cuixia, Cui Yuanjie, Liu Yan, Yao Ling, Zhang Tiejuan, Wang Li, Han Jijing, Zhang Guohui, Yan Yousheng, Wu Qingqing, Sun Lijuan
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-9 (2024)
Abstract Background Posterior fossa malformation (PFM) is a relatively uncommon prenatal brain malformation. Genetic diagnostic approaches, including chromosome karyotyping, copy number variant (CNV) testing, and whole-exome sequencing (WES), have be
Externí odkaz:
https://doaj.org/article/8d0dfe83529d4c639b874d322f1c2bb5
Publikováno v:
Science and Engineering of Composite Materials, Vol 31, Iss 1, Pp 804-9 (2024)
To investigate the damage evolution and failure mechanisms of fiber-reinforced composite materials under complex conditions, this study conducted in situ X-ray computed tomography (CT) compression and tensile tests on plain weave two-dimensional wove
Externí odkaz:
https://doaj.org/article/02a20613420c419fb37f83b463751d18
Autor:
Sun Lijuan, Li Fan, Tan Weihao, Zhao Weijie, Li Yongxiang, Zhu Xiaotong, Gao Ping, Shu Gang, Wang Songbo, Jiang Qingyan, Wang Lina
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 51-61 (2023)
Lithocholic acid (LCA) is a classical secondary bile acid formed by the metabolism of gut microbiota. The TGR5 receptor (also known as G protein-coupled receptor 1, GPBAR1) is an important bile acid membrane receptor that mediates a variety of metabo
Externí odkaz:
https://doaj.org/article/4ae79f82b03f40b8b5d95ab3b09d83ba
Publikováno v:
Science and Engineering of Composite Materials, Vol 29, Iss 1, Pp 394-402 (2022)
SiC fiber-reinforced SiC matrix composites (SiCf/SiC) with 2D woven fabric as preform were tested under compression with in-situ X-ray computed tomography. The microstructure and damage evolution of the material under continuous loading levels were a
Externí odkaz:
https://doaj.org/article/3d2cfcfe4f8c464bb98971c1749607aa
With the increasing emphasis on user privacy protection, biometric recognition based on federated learning have become the latest research hotspot. However, traditional federated learning methods cannot be directly applied to finger vein recognition,
Externí odkaz:
http://arxiv.org/abs/2404.13237
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Autor:
Qiu, Chenyang, Nan, Guoshun, Xiong, Tianyu, Deng, Wendi, Wang, Di, Teng, Zhiyang, Sun, Lijuan, Cui, Qimei, Tao, Xiaofeng
Graph convolution networks (GCNs) are extensively utilized in various graph tasks to mine knowledge from spatial data. Our study marks the pioneering attempt to quantitatively investigate the GCN robustness over omnipresent heterophilic graphs for no
Externí odkaz:
http://arxiv.org/abs/2312.16418
Due to the instability and limitations of unimodal biometric systems, multimodal systems have attracted more and more attention from researchers. However, how to exploit the independent and complementary information between different modalities remai
Externí odkaz:
http://arxiv.org/abs/2209.02368
Publikováno v:
In Journal of Alloys and Compounds 15 November 2024 1005
Autor:
Ge, Zefeng, Wu, Yuqing, Hou, Zenghui, Sun, Lijuan, Zeng, Mingxun, Ma, Yuna, Zha, Zhenting, Lu, Qiuxiang, Zhang, Huiyan
Publikováno v:
In Fuel 15 November 2024 376
Autor:
Khalid, Zeinab, Sun, Lijuan, Lv, Guojun, Lin, Shunda, Wei, Bangji, Duan, Yin, Liu, Xiaobo, Jiang, Xuguang
Publikováno v:
In Process Safety and Environmental Protection October 2024 190 Part B:829-841