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| 1 | Stand basal area modelling for Chinese fir plantations using an artificial neural network model显示文摘Artificial neural network models are a popular estimation tool for fitting nonlinear relationships because they require no assumptions about the form of the fitting function,non-Gaussian distributions,multicollinearity,outliers and noise in the data.The problems of backpropagation models using artificial neural networks include determination of the structure of the network and overlearning courses.According to data from 1981 to 2008 from 15 permanent sample plots on Dagangshan Mountain in Jiangxi Province,a back-propagation artificial neural network model(BPANN)and a support vector machine model(SVM)for basal area of Chinese fir(Cunninghamia lanceolata)plantations were constructed using four kinds of prediction factors,including stand age,site index,surviving stem numbers and quadratic mean diameters.Artificial intelligence methods,especially SVM,could be effective in describing stand basal area growth of Chinese fir under different growth conditions with higher simulation precision than traditional regression models.SVM and the Chapman–Richards nonlinear mixed-effects model had less systematic bias than the BPANN. | Shaohui Che Xiaohong Tan Congwei Xiang Jianjun Sun Xiaoyan Hu Xiongqing Zhang Aiguo Duan Jianguo Zhang | 2019 | Journal of Forestry Research2019，30，5： | 4 |
| 2 | Subtyping of type A influenza by sequencing the variable regions of HA gene specifically amplified with RT-PCR显示文摘The outbreak of a novel influenza A(H1N1) virus across the globe poses a threat to human health.It is of paramount importance to develop a rapid,reliable and inexpensive diagnostic procedure.Based on the bioinformatic information from public database,primers specific for influenza A virus surface protein haemagglutinin(HA) of several subtypes(including H1,H2,H3,H5,H7 and H9) were designed.Primer-specific PCR products were subjected to sequencing for accurately distinguishing H1 and H3 subtypes from others.This sequencing-based detection method will not only be applied to rapid detection and simultaneous subtype identification of new influenza A virus H1N1,but also provide the strategies to monitor other new types ofinfluenza virus with explosive potential. | YAN An DING GuoHui ZHOU ZhenFeng DONG Hui ZHANG YaKun ZHU Lei HE YunGang ZHANG GuoQing LI YiXue SUN Bing HUANG Zhong LAN Ke JIN Li WANG HongYan WANG XiaoNing YANG Zhong ZHONG Yang DAI JianXin GUO YaJun WANG Hao CHE XiaoYan WU Fan YUAN ZhenGan ZHANG Xi CAO ZhiWei ZHOU XiaoNong ZHOU JiaHai MA ZhiYong TONG GuangZhi ZHAO GuoPing JIN WeiRong XIONG Hui | 2009 | Chinese Science Bulletin2009，54，13： | 3 |
| 3 | The mutation network for the hemagglutinin gene from the novel influenza A (H1N1) virus显示文摘A mutation network for the hemagglutinin gene(HA) of the novel type A(H1N1) influenza virus was constructed.Sequence homology analysis indicated that one HA sequence type from the viruses mainly isolated from Mexico was likely the original type in this epidemic.Based on the 658A and 1408T mutations in HA,the viruses evolving into this epidemic were divided into three categories,the Mexico,the transitional and the New York type.The three groups of viruses presented distinctive clustering features in their geographic distributions. | HE YunGang DING GuoHui BIAN Chao HUANG Zhong LAN Ke SUN Bing WANG XueCai LI YiXue WANG HongYan WANG XiaoNing YANG Zhong ZHONG Yang JIN WeiRong XIONG Hui DAI JianXin GUO YaJun WANG Hao CHE XiaoYan WU Fan YUAN ZhenAn ZHANG Xi CAO ZhiWei ZHOU XiaoNong ZHOU JiaHai MA ZhiYong TONG GuangZhi ZHAO GuoPing JIN Li | 2009 | Chinese Science Bulletin2009，54，13： | 3 |
| 4 | Structure modeling and spatial epitope analysis for HA protein of the novel H1N1 influenza virus显示文摘In recent months,a novel influenza virus H1N1 broke out around the world.With bioinformatics technology,the 3D structure of HA protein was obtained,and the epitope residues were predicted with the method developed in our group for this novel flu virus.58 amino acids were identified as potential epitope residues,the majority of which clustered at the surface of the globular head of HA protein.Although it is located at the similar position,the epitope of HA protein for the novel H1N1 flu virus has obvious differences in the electrostatic potential compared to that of HA proteins from previous flu viruses. | WU Di XU TianLei SUN Jing DAI JianXin DING GuoHui HE YunGang ZHOU ZhengFeng XIONG Hui DONG Hui JIN WeiRong BIAN Chao JIN Li WANG HongYan WANG XiaoNing YANG Zhong ZHONG Yang WANG Hao CHE XiaoYan HUANG Zhong LAN Ke SUN Bing WU Fan YUAN ZhenAn ZHANG Xi ZHOU XiaoNong ZHOU JiaHai MA ZhiYong TONG GuangZhi GUO YaJun ZHAO GuoPing LI YiXue CAO ZhiWei | 2009 | Chinese Science Bulletin2009，54，13： | 2 |
| 5 | Gene-viral vectors: a premising way to target tumor cells and express anticancer genes simultaneously 显示文摘 | QIAN Qijun Jonathan SHAM CHE Xiaoyan | 2002 | Chin Med J2002，115，8： | 1 |
| 6 | Effects of Near-surface Low Temperature on Freezing Injury of ‘Tunisian Soft-Seed’ Pomegranate显示文摘[Objective]The paper was to explore the influence of near-surface low temperature on cultivation of soft-seed pomegranate,and to provide guidance for planting location of soft-seed pomegranate.[Method]Taking 10 soft-seed pomegranate planting plots under different site conditions as the research objects,the near-surface low temperature of 45-50 cm was dynamically monitored from December 1,2018 to February 20,2019,and comparative analysis was made based on the local meteorological data over the same period.[Result]The near-surface low temperature of each temperature monitoring point was lower than the local meteorological data,which were all in the range of low temperature causing freezing in-jury of pomegranate trees,but the degree of freezing injury was different.The variation of near-surface low temperature was positively correlated with the altitude of terrain,but negatively correlated with the difference of topography and landform.When the local topography and landform were similar,the accumulation time of near-surface low temperature was negatively correlated with the altitude of terrain,while the duration of low tem-perature directly affected the degree of freezing injury.[Conclusion]The development of soft-seed pomegranate cultivation in Tunisia along Huang Mangling region in Henan Province refers to the local meteorological data.Meantime,it is also necessary to pay attention to the impact of regional microclimate environment,especially early monitoring of near-surface temperature to select suitable site and natural conditions. | Shen Xiaoyan Jie Bo Li Shuang Che Xiaojie Liu Yibo Feng Yuzeng | 2019 | Plant Diseases and Pests2019，10，4： | 1 |
| 7 | Effect of chromium interlayer thickness on interfacial thermal conductance across copper/diamond interface显示文摘The thermal conductivity of diamond particles reinforced copper matrix composite as an attractive thermal management material is significantly lowered by the non-wetting heterointerface.The paper investigates the heat transport behavior between a 200-nm Cu layer and a single-crystalline diamond substrate inserted by a chromium(Cr)interlayer having a series of thicknesses from 150 nm down to 5 nm.The purpose is to detect the impact of the modifying interlayer thickness on the interfacial thermal conductance(h)between Cu and diamond.The time-domain thermoreflectance measurements suggest that the introduction of Cr interlayer dramatically improves the h between Cu and diamond owing to the enhanced interfacial adhesion and bridged dissimilar phonon states between Cu and diamond.The h value exhibits a decreasing trend as the Cr interlayer becomes thicker because of the increase in thermal resistance of Cr interlayer.The high h values are observed for the Cr interlayer thicknesses below 21 nm since phononic transport channel dominates the thermal conduction in the ultrathin Cr layer.The findings provide a way to tune the thermal conduction across the metal/nonmetal heterogeneous interface,which plays a pivotal role in designing materials and devices for thermal management applications. | Xiaoyan Liu Fangyuan Sun Wei Wang Jie Zhao Luhua Wang Zhanxun Che Guangzhu Bai Xitao Wang Jinguo Wang Moon JKim Hailong Zhang | 2022 | International Journal of Minerals,Metallurgy and Materials2022，29，11： | 0 |
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