维普中文期刊产品整合服务
44篇 您的检索式:作者名="Yusen Wang"
    题名 作者 年代 出处 被引量
1Identification of an ideal adjuvant for receptor-binding domain-based subunit vaccines against Middle East respiratory syndrome coronavirus显示文摘Naru Zhang Rudragouda Channappanavar Cuiqing Ma Lili Wang Jian Tang Tania Garron Xinrong Tao Sumaiya Tasneem Lu Lu Chien-Te K Tseng Yusen Zhou Stanley Perlman Shibo Jiang Lanying Du 2016Cellular & Molecular Immunology2016,13,2:12
2A novel human mAb (MERS-GD27) provides prophylactic and postexposure efficacy in MERS-CoV susceptible mice显示文摘Dear Editor,Since September 2012, the Middle East respiratory syndrome coronavirus (MERS-CoV) cases have been reported in more than 27 countries, and more than 2,000 cases have been confirmed in the laboratory (http://gffzz36b398b81f8a4a4chpf0xu0cwuk5566cv.ffgz.tsg.suse.edu.cn/emergencies/mers-cov/en/). MERS-CoV causes an acute and severe respiratory illness with a high mortality rate(~35%) in humans (Shi et al., 2017, Zaki et al., 2012).Neutralizing antibodies targeting the spike of MERS-CoV have been shown to be a therapeutic option for treatment of lethal disease (Agrawal et al., 2016, Ying et al., 2014).Peihua Niu Guangyu Zhao Yao Deng Shihui Sun Wenling Wang Yusen Zhou Wenjie Tan 2018Science China(Life Sciences)2018,61,10:11
3Traditional Chinese Medicine syndrome elements of male infertility revealed by latent tree model analysis显示文摘OBJECTIVE: To explore the features of Traditional Chinese Medicine(TCM) syndromes in male infertility using computer-based analyses.METHODS: Latent class analysis was used to analyze the TCM syndrome data from 813 patients with male infertility and establish a latent tree model.RESULTS: A latent tree model with a Bayesian information criterion score of-11 263 was created.This model revealed that the characteristics of basic TCM syndromes in patients with male infertility were kidney Yang deficiency, kidney Qi deficiency,spleen Yang deficiency, liver Qi stagnation, Qi stagnation and blood stasis, and dump-heat; moreover,most patients with male infertility had complex syndromes(spleen-kidney Yang deficiency and liver Qi stagnation) rather than simple single syndromes.CONCLUSION: The hidden tree model analysis revealed the objective and quantitative complex relationships between the TCM symptoms of male infertility, and obtained the quantification and objective evidence of TCM syndromes in male infertility.Zhang Zhijie Liu Shaoming Zhang Yueyang Yang Jingzhe Kong Tao Wang Chengli Ning Peng Chen Xiaochao Li Xuesong Jia Yusen Chen Xiaojun 2018Journal of Traditional Chinese Medicine2018,38,6:5
4Fault Diagnosis of Power Transformers Using Graph Convolutional Network显示文摘Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity metrics.Their accuracy is limited,since they are hard to learn from other algorithms to improve their own performance.To improve the accuracy of transformer fault diagnosis,a novel method for transformer fault diagnosis based on graph convolutional network(GCN)is proposed.The proposed method has the advantages of two kinds of existing methods.Specifically,the adjacency matrix of GCN is utilized to fully represent the similarity metrics between unknown samples and labeled samples.Furthermore,the graph convolutional layers with strong feature extraction ability are used as a classifier to find the complex nonlinear relationship between dissolved gas and fault type.The back propagation algorithm is used to complete the training process of GCN.The simulation results show that the performance of GCN is better than that of the existing methods such as convolutional neural network,multi-layer perceptron,support vector machine,extreme gradient boosting tree,k-nearest neighbors and Siamese network in different input features and data volumes,which can effectively meet the needs of diagnostic accuracy.Wenlong Liao Dechang Yang Yusen Wang Xiang Ren 2021CSEE Journal of Power and Energy Systems2021,7,2:4
5A Review of Graph Neural Networks and Their Applications in Power Systems显示文摘Deep neural networks have revolutionized many machine learning tasks in power systems,ranging from pattern recognition to signal processing.The data in these tasks are typically represented in Euclidean domains.Nevertheless,there is an increasing number of applications in power systems,where data are collected from non-Euclidean domains and represented as graph-structured data with high-dimensional features and interdependency among nodes.The complexity of graph-structured data has brought significant challenges to the existing deep neural networks defined in Euclidean domains.Recently,many publications generalizing deep neural networks for graph-structured data in power systems have emerged.In this paper,a comprehensive overview of graph neural networks(GNNs)in power systems is proposed.Specifically,several classical paradigms of GNN structures,e.g.,graph convolutional networks,are summarized.Key applications in power systems such as fault scenario application,time-series prediction,power flow calculation,and data generation are reviewed in detail.Furthermore,main issues and some research trends about the applications of GNNs in power systems are discussed.Wenlong Liao Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai Yuelong Wang Yusen Wang 2022Journal of Modern Power Systems and Clean Energy2022,10,2:3
6Response of PM_(2.5)-bound elemental species to emission variations and associated health risk assessment during the COVID-19 pandemic in a coastal megacity显示文摘The coronavirus(COVID-19)pandemic is disrupting the world from many aspects.In this study,the impact of emission variations on PM_(2.5)-bound elemental species and health risks associated to inhalation exposure has been analyzed based on real-time measurements at a remote coastal site in Shanghai during the pandemic.Most trace elemental species decreased significantly and displayed almost no diel peaks during the lockdown.After the lockdown,they rebounded rapidly,of which V and Ni even exceeded the levels before the lockdown,suggesting the recovery of both inland and shipping activities.Five sources were identified based on receptor modeling.Coal combustion accounted for more than 70%of the measured elemental concentrations before and during the lockdown.Shipping emissions,fugitive/mineral dust,and waste incineration all showed elevated contributions after the lockdown.The total non-carcinogenic risk(HQ)for the target elements exceeded the risk threshold for both children and adults with chloride as the predominant species contributing to HQ.Whereas,the total carcinogenic risk(TR)for adults was above the acceptable level and much higher than that for children.Waste incineration was the largest contributor to HQ,while manufacture processing and coal combustion were the main sources of TR.Lockdown control measures were beneficial for lowering the carcinogenic risk while unexpectedly increased the non-carcinogenic risk.From the perspective of health effects,priorities of control measures should be given to waste incineration,manufacture processing,and coal combustion.A balanced way should be reached between both lowering the levels of air pollutants and their health risks.Guochen Wang Kan Huang Qingyan Fu Jia Chen Juntao Huo Qianbiao Zhao Yusen Duan Yanfen Lin Fan Yang Wenjie Zhang Hao Li Jian Xu Xiaofei Qin Na Zhao Congrui Deng 2022Journal of Environmental Sciences2022,34,12:2
7Isolation and rapid genetic characterization of a novel T4-like bacteriophage显示文摘无所不在在地球上,抗菌素是在每个生态系统,而是他们的人的知识的最丰富的实体仍然关于有机体的另外的形式与那相比被限制。充实人的知识并且支持抗菌素的利用,孤立并且描绘尽可能许多不同抗菌素是必要的。这里,我们为它的基因描述描述象 T4 一样抗菌素 IME08 和一个快速的方法的隔离。与这个方法,我们容易克隆抗菌素染色体的一些随机的碎片。这些随机的克隆的顺序分析证明抗菌素 IME08 与象 T4 一样 Enterobacteria 分享了最高的顺序类似噬菌体 T4 (94% 身份) , JS98 (95% 身份) , JS10 (95% 身份) 和 RB14 (94% 身份) 分别地,它建议 IME08 属于象 T4 一样抗菌素类。Wang Sheng Jiang Huanhuan Chen Jiankui Liu Dabin Li Cun Pan Bo An Xiaoping Zhang Xin Zhou Yusen Tong Yigang 2010Journal of Medical Colleges of PLA(China)2010,25,6:2
8Data-driven Missing Data Imputation for Wind Farms Using Context Encoder显示文摘High-quality datasets are of paramount importance for the operation and planning of wind farms.However,the datasets collected by the supervisory control and data acquisition(SCADA)system may contain missing data due to various factors such as sensor failure and communication congestion.In this paper,a data-driven approach is proposed to fill the missing data of wind farms based on a context encoder(CE),which consists of an encoder,a decoder,and a discriminator.Through deep convolutional neural networks,the proposed method is able to automatically explore the complex nonlinear characteristics of the datasets that are difficult to be modeled explicitly.The proposed method can not only fully use the surrounding context information by the reconstructed loss,but also make filling data look real by the adversarial loss.In addition,the correlation among multiple missing attributes is taken into account by adjusting the format of input data.The simulation results show that CE performs better than traditional methods for the attributes of wind farms with hallmark characteristics such as large peaks,large valleys,and fast ramps.Moreover,the CE shows stronger generalization ability than traditional methods such as auto-encoder,K-means,k-nearest neighbor,back propagation neural network,cubic interpolation,and conditional generative adversarial network for different missing data scales.Wenlong Liao Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai Dechang Yang Yusen Wang 2022Journal of Modern Power Systems and Clean Energy2022,10,4:1
9Numerical studies on two-element TEM horn array for radiating ultrawide band pulses显示文摘Tian Chunming Wang Janguo Chen Yusen 2002Chinese Journal of Electronics2002,11,4:1
10Some applications of gasper's bibasic summation formula显示文摘ZHANG Yusen WANG Tianming Indian Journal of Pure and Applied0,,:1
11A simple sol-gel technique for preparing hydroxyapatite nanopowders 显示文摘Wang feng Li Musen Lu Yusen 2005Mater Lett2005,59,:1
12Structural and biological characterization of PEGylated recombinant interferon alpha-2b and its therapeutic implications显示文摘Wang Yusen Youngster S Grace M 2002Adv Drug Deliv Rev2002,54,4:1
13Implementation and application of BLP model under Linux environment显示文摘Wang Jinshuang Zhang Tao Zhang Yusen 2004Journal of PLA University of Science and Technology:Natural Science Edition2004,5,3:1
14Comparative analysis on value of information sharing in supply chains 显示文摘Gang Li Hong Yan Shouyang Wang Yusen Xia 2005Supply Chain Management: An International Journal2005,10,1:1
15Mechanism of triptolide-induced apoptosis: effect on caspase activation and Bid cleavage and essentiality of the hydroxyl group of triptolide显示文摘Xianxi Wang Ranyia Matta Gang Shen Leif D. Nelin Dehua Pei Yusen Liu 2006Journal of Molecular Medicine2006,,5:1
16Acompromise solution to mutual funds portfolio selection with transaction costs显示文摘Xia Yusen Wang Shouyang Deng Xiaotie 2001European Journal of Operational Research2001,134,:1
17Comparative analysis on value of information sharing in supply chains显示文摘Gang Li Hong Yan Shouyang Wang Yusen Xia 2005Supply Chain Management:An International Journal2005,10,1:1
18Preparation and properties of composites based on melamine-formaldehyde foam and nano-Fe3 04 显示文摘Zhang Yusen Duan Hongdong Wang Xingjian 2013Journal of Applied Polymer Science2013,130,4:1
19Superconductivity in ThMo_2Si_2C with Mo_2C square net显示文摘We report the superconductivity of a new quaternary compound ThMo_(2)Si_(2)C, synthesized with the arc-melting technique. The compound crystallizes in a tetragonal CeCr_(2)Si_(2)C-type structure with cell parameters of a = 4.2296A and c = 5.3571 A. An interlayer Si–Si covalent bonding is suggested by the atomic distance. The electrical resistivity and magnetic susceptibility measurements indicate a Pauli-paramagnetic metal with dominant electron-electron scattering in the normal-state. Bulk superconductivity at 2.2 K is demonstrated with a dimensionless specific-heat jump of △C/γnT = 0.98. The superconducting parameters of the critical magnetic fields, coherence length, penetration depth, and superconducting energy gap are given.ZiChen Liu BaiZhuo Li YuSen Xiao QingChen Duan YanWei Cui YuXue Mei Qian Tao ShuLi Wei ShuGang Tan Qiang Jing Qing Lu YuPing Sun YunYan Liu ShengGui Fu Hao Jiang Zhi Ren ZhuAn Xu Cao Wang GuangHan Cao 2021Science China(Physics,Mechanics & Astronomy)2021,64,7:1
20A compromise solution to mutual funds portfolio selection with transaction costs显示文摘Xia Yusen Wang Shouyang Deng Xiaotie 2001European Journal of Operation Research2001,134,:1
返回顶部 每页显示:
共3页 首页 上一页 第1页 下一页 末页 /3 跳转

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1 渝公网安备 50019002500403号 违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费