[Objective]The aim was to introduce T-DNA into watermelon for its molecular marker research.[Method]Based on the method of foreign DNA introduced to Arabidopsis thaliana via dipping flowers,the stigma smear was used t...[Objective]The aim was to introduce T-DNA into watermelon for its molecular marker research.[Method]Based on the method of foreign DNA introduced to Arabidopsis thaliana via dipping flowers,the stigma smear was used to transfer T-DNA into watermelon and its molecular marker research was carried out.[Result]The ideal transformed species was ZXG01078 for the highest fruit setting rate and the most deviant seedlings.The best concentration of kanamycin for treating watermelon seeds was 500-700 mg/L with differences among the species.The best position was spire leaf or young leaf and the best concentration of kanamycin for treating the watermelon leaf was 4 000-8 000 mg/L with no significant difference among species.The steadily variation appearing of growing pointless and conjoined twin seedlings indicated that the normal growth had been interfered by foreign DNA in the progeny.[Conclusion]This study had provided basis for the further research on watermelon.展开更多
Small angle X-ray scatteríng(SAXS)is a powerful tool for the study of porousmaterials.It can give many structual parameters such as the pore size distribution,the averagepore size,the interface area,the thickness...Small angle X-ray scatteríng(SAXS)is a powerful tool for the study of porousmaterials.It can give many structual parameters such as the pore size distribution,the averagepore size,the interface area,the thickness of interface layer fractal dimension,etc.The thcoreti-cal formula of SAXS is based on the pinhole collimated intensity data.However,in order to ob-tain high X-ray intensity,the slit collimation is often used in SAXS experiment.This paperbriefly summarizes the analytic methods which may be applied directly to slit smeared intensitydata of SAXS in the structure studies of porous materials.The methods corresponding to pinholecollimated intensity data are also listed.展开更多
Anisogrid composite lattice conical shells, which exhibit varying stiffness along their cone generators, are widely used as interstage structures in aerospace applications. Buckling under axial compression represents ...Anisogrid composite lattice conical shells, which exhibit varying stiffness along their cone generators, are widely used as interstage structures in aerospace applications. Buckling under axial compression represents one of the most hazardous failure modes for such structures. In this paper, the smeared stiffness method, which incorporates the effect of component torsion, is used to obtain the equivalent stiffness coefficients for composite lattice conical shells with triangular and hexagonal patterns. A unified framework based on the variational differential quadrature (VDQ) method is established, leveraging its suitability for asymptotic expansion to determine the critical buckling loads and the b-imperfection sensitivity parameter of lattice conical shells with axially varying stiffness due to rib layout. The influence of pre-buckling deformation is taken into account to enhance the accuracy of predictions on the linear buckling loads. The feasibility of the present equivalent continuum model is verified, and the differences in buckling behaviors for composite lattice conical shells with both triangular and hexagonal unit cells are numerically evaluated through the finite element (FE) simulations and the VDQ method.展开更多
Blood cell disorders are among the leading causes of serious diseases such as leukemia,anemia,blood clotting disorders,and immune-related conditions.The global incidence of hematological diseases is increasing,affecti...Blood cell disorders are among the leading causes of serious diseases such as leukemia,anemia,blood clotting disorders,and immune-related conditions.The global incidence of hematological diseases is increasing,affecting both children and adults.In clinical practice,blood smear analysis is still largely performed manually,relying heavily on the experience and expertise of laboratory technicians or hematologists.This manual process introduces risks of diagnostic errors,especially in cases with rare or morphologically ambiguous cells.The situation is more critical in developing countries,where there is a shortage of specialized medical personnel and limited access to modern diagnostic tools.High testing costs and delays in diagnosis hinder access to quality healthcare services.In this context,the integration of Artificial Intelligence(AI),particularly Explainable AI(XAI)based on deep learning,offers a promising solution for improving the accuracy,efficiency,and transparency of hematological diagnostics.In this study,we propose a Ghost Residual Network(GRsNet)integrated with XAI techniques such as Gradient-weighted Class Activation Mapping(Grad-CAM),Local Interpretable Model-Agnostic Explanations(LIME),and SHapley Additive exPlanations(SHAP)for automatic blood cell classification.These techniques provide visual explanations by highlighting important regions in the input images,thereby supporting clinical decision-making.The proposed model is evaluated on two public datasets:Naturalize 2K-PBC and Microscopic Blood Cell,achieving a classification accuracy of up to 95%.The results demonstrate the model’s strong potential for automated hematological diagnosis,particularly in resource-constrained settings.It not only enhances diagnostic reliability but also contributes to advancing digital transformation and equitable access to AI-driven healthcare in developing regions.展开更多
Objective:To study the application value and application path of pathological examination in gynecological physical examination.Methods:A total of 1200 patients undergoing gynecological physical examination in X Hospi...Objective:To study the application value and application path of pathological examination in gynecological physical examination.Methods:A total of 1200 patients undergoing gynecological physical examination in X Hospital from January 2024 to December 2024 were selected.All patients received cervical Pap smear examination,and patients with abnormal examination results underwent colposcopic biopsy and HPV infection test for cervical cancer screening.Results:The results of cervical Pap smear showed that a total of 780 patients among 1200 patients showed cervical abnormalities.The Pap smear combined with colposcopy was used for pathological examination to detect cervical cancer lesions in time,and biopsy and HPV infection examination were arranged for high-risk patients to provide data reference for clinical treatment.Conclusions:Pathological examination has a good screening effect in gynecological physical examination.It can detect lesions early and take timely intervention measures,which is helpful to reduce the incidence and mortality of the disease.展开更多
基金Supported by Crop Germplasm Resources Protection Project of Ministry of Agriculture(NB08-2130135-44)National Science and Technology Infrastructure Project(2005DKA21001-23)
文摘[Objective]The aim was to introduce T-DNA into watermelon for its molecular marker research.[Method]Based on the method of foreign DNA introduced to Arabidopsis thaliana via dipping flowers,the stigma smear was used to transfer T-DNA into watermelon and its molecular marker research was carried out.[Result]The ideal transformed species was ZXG01078 for the highest fruit setting rate and the most deviant seedlings.The best concentration of kanamycin for treating watermelon seeds was 500-700 mg/L with differences among the species.The best position was spire leaf or young leaf and the best concentration of kanamycin for treating the watermelon leaf was 4 000-8 000 mg/L with no significant difference among species.The steadily variation appearing of growing pointless and conjoined twin seedlings indicated that the normal growth had been interfered by foreign DNA in the progeny.[Conclusion]This study had provided basis for the further research on watermelon.
文摘Small angle X-ray scatteríng(SAXS)is a powerful tool for the study of porousmaterials.It can give many structual parameters such as the pore size distribution,the averagepore size,the interface area,the thickness of interface layer fractal dimension,etc.The thcoreti-cal formula of SAXS is based on the pinhole collimated intensity data.However,in order to ob-tain high X-ray intensity,the slit collimation is often used in SAXS experiment.This paperbriefly summarizes the analytic methods which may be applied directly to slit smeared intensitydata of SAXS in the structure studies of porous materials.The methods corresponding to pinholecollimated intensity data are also listed.
基金Project supported by the Shanghai Aerospace Science and Technology Innovation Foundation(No.SAST2021048)。
文摘Anisogrid composite lattice conical shells, which exhibit varying stiffness along their cone generators, are widely used as interstage structures in aerospace applications. Buckling under axial compression represents one of the most hazardous failure modes for such structures. In this paper, the smeared stiffness method, which incorporates the effect of component torsion, is used to obtain the equivalent stiffness coefficients for composite lattice conical shells with triangular and hexagonal patterns. A unified framework based on the variational differential quadrature (VDQ) method is established, leveraging its suitability for asymptotic expansion to determine the critical buckling loads and the b-imperfection sensitivity parameter of lattice conical shells with axially varying stiffness due to rib layout. The influence of pre-buckling deformation is taken into account to enhance the accuracy of predictions on the linear buckling loads. The feasibility of the present equivalent continuum model is verified, and the differences in buckling behaviors for composite lattice conical shells with both triangular and hexagonal unit cells are numerically evaluated through the finite element (FE) simulations and the VDQ method.
文摘Blood cell disorders are among the leading causes of serious diseases such as leukemia,anemia,blood clotting disorders,and immune-related conditions.The global incidence of hematological diseases is increasing,affecting both children and adults.In clinical practice,blood smear analysis is still largely performed manually,relying heavily on the experience and expertise of laboratory technicians or hematologists.This manual process introduces risks of diagnostic errors,especially in cases with rare or morphologically ambiguous cells.The situation is more critical in developing countries,where there is a shortage of specialized medical personnel and limited access to modern diagnostic tools.High testing costs and delays in diagnosis hinder access to quality healthcare services.In this context,the integration of Artificial Intelligence(AI),particularly Explainable AI(XAI)based on deep learning,offers a promising solution for improving the accuracy,efficiency,and transparency of hematological diagnostics.In this study,we propose a Ghost Residual Network(GRsNet)integrated with XAI techniques such as Gradient-weighted Class Activation Mapping(Grad-CAM),Local Interpretable Model-Agnostic Explanations(LIME),and SHapley Additive exPlanations(SHAP)for automatic blood cell classification.These techniques provide visual explanations by highlighting important regions in the input images,thereby supporting clinical decision-making.The proposed model is evaluated on two public datasets:Naturalize 2K-PBC and Microscopic Blood Cell,achieving a classification accuracy of up to 95%.The results demonstrate the model’s strong potential for automated hematological diagnosis,particularly in resource-constrained settings.It not only enhances diagnostic reliability but also contributes to advancing digital transformation and equitable access to AI-driven healthcare in developing regions.
文摘Objective:To study the application value and application path of pathological examination in gynecological physical examination.Methods:A total of 1200 patients undergoing gynecological physical examination in X Hospital from January 2024 to December 2024 were selected.All patients received cervical Pap smear examination,and patients with abnormal examination results underwent colposcopic biopsy and HPV infection test for cervical cancer screening.Results:The results of cervical Pap smear showed that a total of 780 patients among 1200 patients showed cervical abnormalities.The Pap smear combined with colposcopy was used for pathological examination to detect cervical cancer lesions in time,and biopsy and HPV infection examination were arranged for high-risk patients to provide data reference for clinical treatment.Conclusions:Pathological examination has a good screening effect in gynecological physical examination.It can detect lesions early and take timely intervention measures,which is helpful to reduce the incidence and mortality of the disease.
