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4篇 您的检索式:作者名="Shi Xiaming"
    题名 作者 年代 出处 被引量
1Spatial analysis increases efficiency of progeny testing of Chinese fir显示文摘We used spatial, global trend and post-blocking analysis to examine the effectiveness of a progeny trial in a tree breeding program for Chinese fir(Cunninghamia lanceolata(Lamb.) Hook) on a hilly site with an environmental gradient from hill top to bottom. Diameter at breast height(DBH) and tree height data had significant spatial auto-correlations among rows and columns. Adding a firstorder separable autoregressive term more effectively modelled the spatial variation than did the incomplete block(IB)model used for the experimental design. The spatial model also accounted for effects of experimental design factors and greatly reduced residual variances. The spatial analysis relative to the IB analysis improved estimation of genetic parameters with the residual variance reduced 13 and 19%for DBH and tree height, respectively; heritability increased35 and 51% for DBH and tree height, respectively; and genetic gain improved 3–5%. Fitting global trend and postblocking did not improve the analyses under IB model. The use of a spatial model or combined with a design model is recommended for forest genetic trials, particularly with global trend and local spatial variation of hilly sites.Liming Bian Renhua Zheng Shunde Su Huazhong Lin Hui Xiao Harry Xiaming Wu Jisen Shi 2017Journal of Forestry Research2017,28,3:3
2Strength and corro- sion properties of portland cement mortar and concrete with min- eral admixtures 显示文摘Shi Xiaming Yang Zhengxian Liu Yajun 2011Construction and Building Materials2011,25,8:1
3Cooperative prediction guidance law in target-attacker-defender scenario显示文摘Dear editor,The defending guidance problem for the target-attackerdefender(TAD)scenario is a challenge.The attacker(A)refers to the attacking missile,whose objective is to intercept the target aircraft(T),while the target aircraft is trying to avoid the attacker.The defender(D),namely the defensive missile,aims to intercept the attacker before a collision occurs between the attacker and the target.Heng SHI Jihong ZHU Minchi KUANG Xiaming YUAN 2021Science China(Information Sciences)2021,64,4:1
4Comparative Antiviral Efficacy of Viral Protease Inhibitors against the Novel SARS-CoV-2 In Vitro显示文摘The recent outbreak of novel coronavirus pneumonia(COVID-19)caused by a new coronavirus has posed a great threat to public health.Identifying safe and effective antivirals is of urgent demand to cure the huge number of patients.Virusencoded proteases are considered potential drug targets.The human immunodeficiency virus protease inhibitors(lopinavir/ritonavir)has been recommended in the global Solidarity Trial in March launched by World Health Organization.However,there is currently no experimental evidence to support or against its clinical use.We evaluated the antiviral efficacy of lopinavir/ritonavir along with other two viral protease inhibitors in vitro,and discussed the possible inhibitory mechanism in silico.The in vitro to in vivo extrapolation was carried out to assess whether lopinavir/ritonavir could be effective in clinical.Among the four tested compounds,lopinavir showed the best inhibitory effect against the novel coronavirus infection.However,further in vitro to in vivo extrapolation of pharmacokinetics suggested that lopinavir/ritonavir could not reach effective concentration under standard dosing regimen[marketed as Kaletraò,contained lopinavir/ritonavir(200 mg/50 mg)tablets,recommended dosage is 400 mg/10 mg(2 tablets)twice daily].This research concluded that lopinavir/ritonavir should be stopped for clinical use due to the huge gap between in vitro IC50 and free plasma concentration.Nevertheless,the structure–activity relationship analysis of the four inhibitors provided further information for de novel design of future viral protease inhibitors of SARS-CoV-2.Leike Zhang Jia Liu Ruiyuan Cao Mingyue Xu Yan Wu Weijuan Shang Xi Wang Huanyu Zhang Xiaming Jiang Yuan Sun Hengrui Hu Yufeng Li Gang Zou Min Zhang Lei Zhao Wei Li Xiaojia Guo Xiaomei Zhuang Xing-Lou Yang Zheng-Li Shi Fei Deng Zhihong Hu Gengfu Xiao Manli Wang Wu Zhong 2020Virologica Sinica2020,35,6:0
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