This paper proposed an enhanced NEH with full insertion moves to solve the permutation flow shop problem.The characteristics of the original NEH are investigated and analyzed,and it is concluded that the given method ...This paper proposed an enhanced NEH with full insertion moves to solve the permutation flow shop problem.The characteristics of the original NEH are investigated and analyzed,and it is concluded that the given method would be promising to find better solutions,while the cost would be increased.Fast makespan calculating method and eliminating non-promising permutation policy are introduced to reduce the evaluation effort.The former decreases the time complexity from O(n4m) to O(n3m),which is an acceptable cost for medium and small size instances considering the obtained solution quality.The results from computational experience show that the latter also can eliminate a lot of non-promising solutions.展开更多
The fully sequenced genomes of Arabidopsis, rice, tomato, potato, ma ize, wheat, and soybean offer large amounts of information about cellular and de velopmental biology. It is a central challenge of genomics to use t...The fully sequenced genomes of Arabidopsis, rice, tomato, potato, ma ize, wheat, and soybean offer large amounts of information about cellular and de velopmental biology. It is a central challenge of genomics to use this informati on in discovering the function of proteins and identifying developmentally impor tant genes. Although classical genetic approaches to gene identification which r ely on disruption of a gene leading to a recognizable phenotype continues to be an extremely successful one, T-DNA mediated gene trap tagging which has been dev eloped that utilize random integration of reporter gene constructs has also prov en to be an extremely powerful tool in plant cellular developmental biology. In this review, how gene trap tagging, promoter trap tagging, and enhancer trap tag ging detection systems have been applied to plant biology is described and these gene identification techniques could be useful to the plant molecular biology a nd plant biotechnology community.展开更多
Heat stress transcription factors (Hsfs) are the central regulators of defense response to heat stress. We identified a total of 25 rice Hsf genes by genome-wide analysis of rice (Oryza sativa L.) genome, including th...Heat stress transcription factors (Hsfs) are the central regulators of defense response to heat stress. We identified a total of 25 rice Hsf genes by genome-wide analysis of rice (Oryza sativa L.) genome, including the subspecies of O. japonica and O. indica. Proteins encoded by OsHsfs were divided into three classes according to their structures. Digital Northern analysis showed that OsHsfs were expressed constitutively. The expressions of these OsHsfs in response to heat stress and oxidative stress differed among the members of the gene family. Promoter analysis identified a number of stress-related cis-elements in the promoter regions of these OsHsfs. No significant correlation, however, was found between the heat-shock responses of genes and their cis-elements. Overall, our results provide a foundation for future research of OsHsfs function.展开更多
In this study, hybrid computational frameworks are developed for active noise control（ANC） systems using an evolutionary computing technique based on genetic algorithms（GAs） and interior-point method（IPM）, follo...In this study, hybrid computational frameworks are developed for active noise control（ANC） systems using an evolutionary computing technique based on genetic algorithms（GAs） and interior-point method（IPM）, following an integrated approach, GA-IPM. Standard ANC systems are usually implemented with the filtered extended least mean square algorithm for optimization of coefficients for the linear finite-impulse response filter, but are likely to become trapped in local minima（LM）. This issue is addressed with the proposed GA-IPM computing approach which is considerably less prone to the LM problem. Also, there is no requirement to identify a secondary path for the ANC system used in the scheme. The design method is evaluated using an ANC model of a headset with sinusoidal, random, and complex random noise interferences under several scenarios based on linear and nonlinear primary and secondary paths. The accuracy and convergence of the proposed scheme are validated based on the results of statistical analysis of a large number of independent runs of the algorithm.展开更多
基金New Century Excellent Talents in University (No.NCET04-0383)Science and Technology Phosphor Program of Shanghai (No.04QMH1405)
文摘This paper proposed an enhanced NEH with full insertion moves to solve the permutation flow shop problem.The characteristics of the original NEH are investigated and analyzed,and it is concluded that the given method would be promising to find better solutions,while the cost would be increased.Fast makespan calculating method and eliminating non-promising permutation policy are introduced to reduce the evaluation effort.The former decreases the time complexity from O(n4m) to O(n3m),which is an acceptable cost for medium and small size instances considering the obtained solution quality.The results from computational experience show that the latter also can eliminate a lot of non-promising solutions.
文摘The fully sequenced genomes of Arabidopsis, rice, tomato, potato, ma ize, wheat, and soybean offer large amounts of information about cellular and de velopmental biology. It is a central challenge of genomics to use this informati on in discovering the function of proteins and identifying developmentally impor tant genes. Although classical genetic approaches to gene identification which r ely on disruption of a gene leading to a recognizable phenotype continues to be an extremely successful one, T-DNA mediated gene trap tagging which has been dev eloped that utilize random integration of reporter gene constructs has also prov en to be an extremely powerful tool in plant cellular developmental biology. In this review, how gene trap tagging, promoter trap tagging, and enhancer trap tag ging detection systems have been applied to plant biology is described and these gene identification techniques could be useful to the plant molecular biology a nd plant biotechnology community.
基金Project (No. 30471118) supported by the National Natural Science Foundation of China
文摘Heat stress transcription factors (Hsfs) are the central regulators of defense response to heat stress. We identified a total of 25 rice Hsf genes by genome-wide analysis of rice (Oryza sativa L.) genome, including the subspecies of O. japonica and O. indica. Proteins encoded by OsHsfs were divided into three classes according to their structures. Digital Northern analysis showed that OsHsfs were expressed constitutively. The expressions of these OsHsfs in response to heat stress and oxidative stress differed among the members of the gene family. Promoter analysis identified a number of stress-related cis-elements in the promoter regions of these OsHsfs. No significant correlation, however, was found between the heat-shock responses of genes and their cis-elements. Overall, our results provide a foundation for future research of OsHsfs function.
文摘In this study, hybrid computational frameworks are developed for active noise control（ANC） systems using an evolutionary computing technique based on genetic algorithms（GAs） and interior-point method（IPM）, following an integrated approach, GA-IPM. Standard ANC systems are usually implemented with the filtered extended least mean square algorithm for optimization of coefficients for the linear finite-impulse response filter, but are likely to become trapped in local minima（LM）. This issue is addressed with the proposed GA-IPM computing approach which is considerably less prone to the LM problem. Also, there is no requirement to identify a secondary path for the ANC system used in the scheme. The design method is evaluated using an ANC model of a headset with sinusoidal, random, and complex random noise interferences under several scenarios based on linear and nonlinear primary and secondary paths. The accuracy and convergence of the proposed scheme are validated based on the results of statistical analysis of a large number of independent runs of the algorithm.
