There is a close relationship between the hy—brid rice production and seed purity.Two-linehybrid rice with higher heterosis is producedthrough the hybridization between a photo-thermo sensitive genetic male sterile(G...There is a close relationship between the hy—brid rice production and seed purity.Two-linehybrid rice with higher heterosis is producedthrough the hybridization between a photo-thermo sensitive genetic male sterile(GMS) rice line and a paternal variety.But the fertili-展开更多
Lithology of Triassic in southwestern Sichuan is consistent with the whole basin,and there is no discussion about stratum division,the difference is stratum denudation which is made by the uplifting of Luzhou uplift,e...Lithology of Triassic in southwestern Sichuan is consistent with the whole basin,and there is no discussion about stratum division,the difference is stratum denudation which is made by the uplifting of Luzhou uplift,especially展开更多
Dear Editor,In recent years,post-translational modifications(PTMs)by small ubiquitin-related modifiers(SUMOs)have emerged as an important regulatory mechanism for both cellular and viral processes(Ribet and Cossart,20...Dear Editor,In recent years,post-translational modifications(PTMs)by small ubiquitin-related modifiers(SUMOs)have emerged as an important regulatory mechanism for both cellular and viral processes(Ribet and Cossart,2010).Identifying the SUMOylation sites of the target protein展开更多
A new method is proposed for identifying outliers in the direction-of-arrival (DOA) data of a source observed from a linear array sonar. Suppose a source moves uniformly along a straight line. The method for identifyi...A new method is proposed for identifying outliers in the direction-of-arrival (DOA) data of a source observed from a linear array sonar. Suppose a source moves uniformly along a straight line. The method for identifying outliers consists of three steps, (i) Divide the data into groups, each with four sample points, and delete certain two sample points from every group by means of a robust method pesented in this paper. When the percentage of the outliers is less than 50%, there exists at least one group in which the remaining two sample points are 'good' . (ii) Estimate the DOA and its Change rate, (θ0 , θ0 ), using the remaining two simple points of every group, and computethe objective functions of M-etsimator using the resulting estimates of all groups respectively. A 'good' estimate of (θ0 , θ0 ), which minmizes the objective function is then obtained, (iii) Iterate the M-estimator with the 'good' estimate of (θ0 , θ0 ) as the initial value, obtain an accurate estimate of (θ0 , θ0),and identify outliers in the observed data using the residuals calculated from the accurate estimate of (θ0 , θ0 ). The breakdown point of the method is 50%. Thesimulation examples given in the paper verify the reliability of the method.展开更多
文摘There is a close relationship between the hy—brid rice production and seed purity.Two-linehybrid rice with higher heterosis is producedthrough the hybridization between a photo-thermo sensitive genetic male sterile(GMS) rice line and a paternal variety.But the fertili-
文摘Lithology of Triassic in southwestern Sichuan is consistent with the whole basin,and there is no discussion about stratum division,the difference is stratum denudation which is made by the uplifting of Luzhou uplift,especially
文摘Dear Editor,In recent years,post-translational modifications(PTMs)by small ubiquitin-related modifiers(SUMOs)have emerged as an important regulatory mechanism for both cellular and viral processes(Ribet and Cossart,2010).Identifying the SUMOylation sites of the target protein
基金The project is supported by National Natural Science Foundation of China
文摘A new method is proposed for identifying outliers in the direction-of-arrival (DOA) data of a source observed from a linear array sonar. Suppose a source moves uniformly along a straight line. The method for identifying outliers consists of three steps, (i) Divide the data into groups, each with four sample points, and delete certain two sample points from every group by means of a robust method pesented in this paper. When the percentage of the outliers is less than 50%, there exists at least one group in which the remaining two sample points are 'good' . (ii) Estimate the DOA and its Change rate, (θ0 , θ0 ), using the remaining two simple points of every group, and computethe objective functions of M-etsimator using the resulting estimates of all groups respectively. A 'good' estimate of (θ0 , θ0 ), which minmizes the objective function is then obtained, (iii) Iterate the M-estimator with the 'good' estimate of (θ0 , θ0 ) as the initial value, obtain an accurate estimate of (θ0 , θ0),and identify outliers in the observed data using the residuals calculated from the accurate estimate of (θ0 , θ0 ). The breakdown point of the method is 50%. Thesimulation examples given in the paper verify the reliability of the method.
