|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Weakened anisotropy of mechanical properties in rolled ZK60 magnesium alloy sheets with elevated deformation temperature显示文摘The rolling direction(RD) and the transverse direction(TD) samples were obtained from an as-rolled ZK60 magnesium alloy sheet with strong anisotropy of initial texture and their mechanical properties were tested at various deformation temperatures. Meanwhile, the microstructure and texture of these samples after fracture were investigated. Results revealed that a higher flow stress along the RD than that along the TD at room temperature were ascribed to the strong anisotropy of transitional texture, and this texture effect was remarkably weakened with the increase of deformation temperature. Deformation structure was dominant at 100?C, and was replaced by dynamic recrystallization structure when the deformation temperature increased to 200?C and 300?C. The texture presented a strong texture(transitional texture in the RD sample and basal texture in the TD sample) at 100?C, but its intensity visibly decreased and texture components became more disperse at 200?C and 300?C. These microstructure and texture results were employed in conjunction with calculated results to argue that raising deformation temperature could increase the activity of non-basal slip by tailoring the relative critical resolved shear stress of each deformation mode and finally result in low texture effect on mechanical anisotropy. | Wenke Wang Wenzhen Chen Wencong Zhang Guorong Cui Erde Wang | 2018 | Journal of Materials Science & Technology2018，34，11： | 3 |
| 2 | Management Algorithm for Prevention of Mother-to-child Transmission of Hepatitis B Virus(2022)显示文摘The World Health Organization(WHO)has set the goal of eliminating hepatitis as a threat to public health by 2030.Blocking mother-to-child transmission(MTCT)of hepatitis B virus(HBV)is not only the key to eliminating viral hepatitis,but also a hot issue in the field of hepatitis B prevention and treatment.To standardize the clinical management of preventing MTCT of HBV and achieve zero HBV infection among infants,the Chinese Foundation for Hepatitis Prevention and Control organized experts to compile a management algorithm for prevention of MTCT of HBV based on the latest research progress and guidelines,including 10 steps of pregnancy management and postpartum follow-up,among which screening,antiviral treatment,and infant immunization are its core components. | Zhihua Liu Zhongdan Chen Fuqiang Cui Yang Ding Yunfei Gao Guorong Han Jidong Jia Jie Li Zengde Li Yingxia Liu Qing Mao Ailing Wang Wei Wang Lai Wei Jianhong Xia Qing Xie Xizhong Yang Xueru Yin Hua Zhang Liaoyun Zhang Wenhong Zhang Hui Zhuang Xiaoguang Dou Jinlin Hou | 2022 | Journal of Clinical and Translational Hepatology2022，10，5： | 2 |
| 3 | Weighted Particle Swarm Clustering Algorithm for Self-Organizing Maps显示文摘The traditional K-means clustering algorithm is difficult to determine the cluster number,which is sensitive to the initialization of the clustering center and easy to fall into local optimum.This paper proposes a clustering algorithm based on self-organizing mapping network and weight particle swarm optimization SOM&WPSO(Self-Organization Map and Weight Particle Swarm Optimization).Firstly,the algorithm takes the competitive learning mechanism of a self-organizing mapping network to divide the data samples into coarse clusters and obtain the clustering center.Then,the obtained clustering center is used as the initialization parameter of the weight particle swarm optimization algorithm.The particle position of the WPSO algorithm is determined by the traditional clustering center is improved to the sample weight,and the cluster center is the“food”of the particle group.Each particle moves toward the nearest cluster center.Each iteration optimizes the particle position and velocity and uses K-means and K-medoids recalculates cluster centers and cluster partitions until the end of the algorithm convergence iteration.After a lot of experimental analysis on the commonly used UCI data set,this paper not only solves the shortcomings of K-means clustering algorithm,the problem of dependence of the initial clustering center,and improves the accuracy of clustering,but also avoids falling into the local optimum.The algorithm has good global convergence. | Guorong Cui Hao Li Yachuan Zhang Rongjing Bu Yan Kang Jinyuan Li Yang Hu | 2020 | Journal of Quantum Computing2020，2，2： | 1 |
| 4 | The origin of non-uniformmicrostructure and its effects on the mechanical properties of afriction stir processed Al-Mg alloy 显示文摘 | Cui Guorong Ma Zongyi Li Shouxin | 2009 | Acta Materialia2009，57，3： | 1 |
| 5 | GACNet: A Generative Adversarial Capsule Network for Regional Epitaxial Traffic Flow Prediction显示文摘With continuous urbanization,cities are undergoing a sharp expansion within the regional space.Due to the high cost,the prediction of regional traffic flow is more difficult to extend to entire urban areas.To address this challenging problem,we present a new deep learning architecture for regional epitaxial traffic flow prediction called GACNet,which predicts traffic flow of surrounding areas based on inflow and outflow information in central area.The method is data-driven,and the spatial relationship of traffic flow is characterized by dynamically transforming traffic information into images through a two-dimensional matrix.We introduce adversarial training to improve performance of prediction and enhance the robustness.The generator mainly consists of two parts:abstract traffic feature extraction in the central region and traffic prediction in the extended region.In particular,the feature extraction part captures nonlinear spatial dependence using gated convolution,and replaces the maximum pooling operation with dynamic routing,finally aggregates multidimensional information in capsule form.The effectiveness of the method is evaluated using traffic flow datasets for two real traffic networks:Beijing and New York.Experiments on highly challenging datasets show that our method performs well for this task. | Jinyuan Li Hao Li Guorong Cui Yan Kang Yang Hu Yingnan Zhou | 2020 | Computers, Materials & Continua2020，，8： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员