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| 1 | A New Evaluation Algorithm for the Influence of User in Social Network显示文摘Online social networks have gradually permeated into every aspect of people's life.As a research hotspot in social network, user influence is of theoretical and practical significant for information transmission, optimization and integration. A prominent application is a viral marketing campaign which aims to use a small number of targeted infl uence users to initiate cascades of infl uence that create a global increase in product adoption. In this paper, we analyze mainly evaluation methods of user infl uence based on IDM evaluation model, Page Rank evaluation model, use behavior model and some other popular influence evaluation models in currently social network. And then, we extract the core idea of these models to build our influence evaluation model from two aspects, relationship and activity. Finally, the proposed approach was validated on real world datasets,and the result of experiments shows that our method is both effective and stable. | JIANG Wei GAO Mengdi WANG Xiaoxi WU Xianda | 2016 | China Communications2016，13，2： | 5 |
| 2 | Isogeometric topology optimization based on energy penalization for symmetric structure显示文摘We present an energy penalization method for isogeometric topology optimization using moving morphable components(ITO–MMC),propose an ITO–MMC with an additional bilateral or periodic symmetric constraint for symmetric structures,and then extend the proposed energy penalization method to an ITO–MMC with a symmetric constraint.The energy penalization method can solve the problems of numerical instability and convergence for the ITO–MMC and the ITO–MMC subjected to the structural symmetric constraint with asymmetric loads.Topology optimization problems of asymmetric,bilateral symmetric,and periodic symmetric structures are discussed to validate the effectiveness of the proposed energy penalization approach.Compared with the conventional ITO–MMC,the energy penalization method for the ITO–MMC can improve the convergence rate from 18.6%to 44.5%for the optimization of the asymmetric structure.For the ITO–MMC under a bilateral symmetric constraint,the proposed method can reduce the objective value by 5.6%and obtain a final optimized topology that has a clear boundary with decreased iterations.For the ITO–MMC under a periodic symmetric constraint,the proposed energy penalization method can dramatically reduce the number of iterations and obtain a speedup of more than 2. | Xianda XIE Shuting WANG Ming YE Zhaohui XIA Wei ZHAO Ning JIANG Manman XU | 2020 | Frontiers of Mechanical Engineering2020，15，1： | 3 |
| 3 | Serological Investigation of Laboratory-Confirmed and Suspected Ebola Virus Disease Patients During the Late Phase of the Ebola Outbreak in Sierra Leone显示文摘This study aimed to investigate the serological characteristics of Ebola virus(EBOV) infection during the late phase of the Ebola outbreak in Sierra Leone. In total, 877 blood samples from 694 suspected Ebola virus disease(EVD) cases assessed from March to December 2015, were analyzed via real-time reverse transcription polymerase chain reaction(RT-PCR) for viral RNA and enzyme-linked immunosorbent assay(ELISA) and Luminex to detect antibodies against EBOV. Viral load and EBOV-specific IgM/IgG titers displayed a declining trend during March to December 2015. Viral RNA load decreased rapidly at earlier stages after disease onset, while EBOV-specific IgM and IgG still persisted in 58.1%(18/31) and 93.5%(29/31) of the confirmed EVD patients and in 3.8%(25/663) and 17.8%(118/663) of the RNA-negative suspected patients in the later phase, respectively. Dynamic analysis of longitudinally collected samples from eight EVD patients revealed typically reversed trends of declining viral load and increasing IgM and/or IgG titers in response to the EBOV infection.The present results indicate that certain populations of Sierra Leone developed immunity to an EBOV infection in the late phase of the outbreak, providing novel insights into the risk assessment of EBOV infections among human populations. | Yang Liu YuLan Sun Wei Wu AQian Li XianDa Yang Shuo Zhang Chuan Li QiuDong Su ShaoJian Cai DaPeng Sun HaiYang Hu Zhe Zhang XiuXu Yang Idrissa Kamara Sheku Koroma Gerald Bangura Alie Tia Abdul Kamara Matt Lebby Brima Kargbo Jiandong Li Shiwen Wang XiaoPing Dong YueLong Shu WenBo Xu George F. Gao GuiZhen Wu DeXin Li William J. Liu MiFang Liang | 2018 | Virologica Sinica2018，33，4： | 2 |
| 4 | Blind Adaptive Multiuser Detection Based on Kalman Filtering显示文摘 | Zhang Xianda Wei Wei | 2002 | IEEE Trans on Signal Processing2002，50，1： | 1 |
| 5 | Blind adaptive multi-user detection based on kalman filtering 显示文摘 | ZHANG Xianda WEI Wei | 2002 | IEEE Transactions2002，50，1： | 1 |
| 6 | Noninvasive prenatal testing for Wilson disease by use of circulating single - molecule amplification and resequencing technology (cSMART)显示文摘 | LV Weigang WEI Xianda GUO Ruolan | 2015 | Clinical Chemistry2015，61，1： | 1 |
| 7 | Blind adaptive muhiuser detection based on Kalman filtering 显示文摘 | Zhang Xianda Wei Wei | 2002 | IEEE Transactions on Signal Processing2002，50，1： | 1 |
| 8 | Blind adaptive multiuser detection based on Kalman filtering显示文摘 | Zhang Xianda Wei Wei | 2002 | IEEE Trans on Signal Processing2002，50，1： | 1 |
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