In the generalized continuum mechanics(GCM)theory framework,asymmetric wave equations encompass the characteristic scale parameters of the medium,accounting for microstructure interactions.This study integrates two th...In the generalized continuum mechanics(GCM)theory framework,asymmetric wave equations encompass the characteristic scale parameters of the medium,accounting for microstructure interactions.This study integrates two theoretical branches of the GCM,the modified couple stress theory(M-CST)and the one-parameter second-strain-gradient theory,to form a novel asymmetric wave equation in a unified framework.Numerical modeling of the asymmetric wave equation in a unified framework accurately describes subsurface structures with vital implications for subsequent seismic wave inversion and imaging endeavors.However,employing finite-difference(FD)methods for numerical modeling may introduce numerical dispersion,adversely affecting the accuracy of numerical modeling.The design of an optimal FD operator is crucial for enhancing the accuracy of numerical modeling and emphasizing the scale effects.Therefore,this study devises a hybrid scheme called the dung beetle optimization(DBO)algorithm with a simulated annealing(SA)algorithm,denoted as the SA-based hybrid DBO(SDBO)algorithm.An FD operator optimization method under the SDBO algorithm was developed and applied to the numerical modeling of asymmetric wave equations in a unified framework.Integrating the DBO and SA algorithms mitigates the risk of convergence to a local extreme.The numerical dispersion outcomes underscore that the proposed SDBO algorithm yields FD operators with precision errors constrained to 0.5‱while encompassing a broader spectrum coverage.This result confirms the efficacy of the SDBO algorithm.Ultimately,the numerical modeling results demonstrate that the new FD method based on the SDBO algorithm effectively suppresses numerical dispersion and enhances the accuracy of elastic wave numerical modeling,thereby accentuating scale effects.This result is significant for extracting wavefield perturbations induced by complex microstructures in the medium and the analysis of scale effects.展开更多
[Objective] The research aimed toexplore the method to obtain Hoxc8 pro- moter of Mongolian Sheep. [Method] Thermal asymmetric interlaced PCR was used to amplify the promoter sequence of Hoxc8 inMongolian Sheep. [Resu...[Objective] The research aimed toexplore the method to obtain Hoxc8 pro- moter of Mongolian Sheep. [Method] Thermal asymmetric interlaced PCR was used to amplify the promoter sequence of Hoxc8 inMongolian Sheep. [Result] The ob- tained sequence by usingthermal asymmetric interlaced PCRwas not ideal and the sequencing results were not matching to the known sequence. Though promoter se- quence of Hoxc8 in Mongolian Sheep was not obtained by thermal asymmetric in- terlaced PCR, but the results could provide references for the relevant studies in the future. [Conclusion] The research laid the foundation for further study on the methy- lation status Hoxc8 promoter in Mongolian Sheep.展开更多
基金supported by project XJZ2023050044,A2309002 and XJZ2023070052.
文摘In the generalized continuum mechanics(GCM)theory framework,asymmetric wave equations encompass the characteristic scale parameters of the medium,accounting for microstructure interactions.This study integrates two theoretical branches of the GCM,the modified couple stress theory(M-CST)and the one-parameter second-strain-gradient theory,to form a novel asymmetric wave equation in a unified framework.Numerical modeling of the asymmetric wave equation in a unified framework accurately describes subsurface structures with vital implications for subsequent seismic wave inversion and imaging endeavors.However,employing finite-difference(FD)methods for numerical modeling may introduce numerical dispersion,adversely affecting the accuracy of numerical modeling.The design of an optimal FD operator is crucial for enhancing the accuracy of numerical modeling and emphasizing the scale effects.Therefore,this study devises a hybrid scheme called the dung beetle optimization(DBO)algorithm with a simulated annealing(SA)algorithm,denoted as the SA-based hybrid DBO(SDBO)algorithm.An FD operator optimization method under the SDBO algorithm was developed and applied to the numerical modeling of asymmetric wave equations in a unified framework.Integrating the DBO and SA algorithms mitigates the risk of convergence to a local extreme.The numerical dispersion outcomes underscore that the proposed SDBO algorithm yields FD operators with precision errors constrained to 0.5‱while encompassing a broader spectrum coverage.This result confirms the efficacy of the SDBO algorithm.Ultimately,the numerical modeling results demonstrate that the new FD method based on the SDBO algorithm effectively suppresses numerical dispersion and enhances the accuracy of elastic wave numerical modeling,thereby accentuating scale effects.This result is significant for extracting wavefield perturbations induced by complex microstructures in the medium and the analysis of scale effects.
基金Supported by the Supporting Program of the"Eleventh Five-year Plan"for Sci&Tech Research of China(2006BDA13B08)National Natural Science Foundation of China(30960245)~~
文摘[Objective] The research aimed toexplore the method to obtain Hoxc8 pro- moter of Mongolian Sheep. [Method] Thermal asymmetric interlaced PCR was used to amplify the promoter sequence of Hoxc8 inMongolian Sheep. [Result] The ob- tained sequence by usingthermal asymmetric interlaced PCRwas not ideal and the sequencing results were not matching to the known sequence. Though promoter se- quence of Hoxc8 in Mongolian Sheep was not obtained by thermal asymmetric in- terlaced PCR, but the results could provide references for the relevant studies in the future. [Conclusion] The research laid the foundation for further study on the methy- lation status Hoxc8 promoter in Mongolian Sheep.
