Multiple wave is one of the important factors affecting the signal-to-noise ratio of marine seismic data.The model-driven-method(MDM)can effectively predict and suppress water-related multiple waves,while the quality ...Multiple wave is one of the important factors affecting the signal-to-noise ratio of marine seismic data.The model-driven-method(MDM)can effectively predict and suppress water-related multiple waves,while the quality of the multiple wave contribution gathers(MCG)can affect the prediction accuracy of multiple waves.Based on the compressed sensing framework,this study used the sparse constraint under LO norm to optimize MCG,which can not only reduce the false in the prediction and improve the image accuracy,but also saves computing time.At the same time,the MDM-type method for multiple wave suppression can be improved.The unified prediction of multiple types of water-related multiple waves weakens the dependence of conventional MDM on the adaptive subtraction process in suppressing water-related multiple waves,improves the stability of the method,and simultaneously,reduces the computational load.Finally,both theoretical model and practical data prove the effectiveness of the present method.展开更多
目的探讨青年原发性高血压病中医证型与相关因素间的关系。方法采用横断面研究设计,收集2017年12月—2021年12月中国中医科学院西苑医院心血管科住院患者中符合纳排标准的病例资料,通过Logistic回归分析方法探讨相关关系。结果研究共纳...目的探讨青年原发性高血压病中医证型与相关因素间的关系。方法采用横断面研究设计,收集2017年12月—2021年12月中国中医科学院西苑医院心血管科住院患者中符合纳排标准的病例资料,通过Logistic回归分析方法探讨相关关系。结果研究共纳入202例青年高血压病住院病例,中医证型分布依次为痰瘀互结证(51.98%)、阴虚阳亢证(24.75%)、气血两虚证(15.84%)、肾阳亏虚证(7.43%)。Logistic回归分析显示,脑梗死病史、高血压病分期、低密度脂蛋白胆固醇(LDL-C)水平、24 h平均收缩压(24 h ASBP)、24 h平均脉搏(24 h AP)、日间平均脉搏(dAP)、夜间平均脉搏(n AP)对气血两虚证有影响(P<0.05);高血压病分期、脂蛋白B(Apo B)水平、最高收缩压(max-SBP)对肾阳亏虚证有影响(P<0.05);脂肪肝病史、高密度脂蛋白胆固醇(HDL-C)降低、LDL-C升高、糖化血红蛋白(HbA1c)升高、估算肾小球滤过率(eGFR)降低、24 h AP、dAP对痰瘀互结证有影响(P<0.05);年龄、动脉粥样硬化、LDL-C降低、Apo B降低、HbA1c升高、夜间平均舒张压(nADBP)、舒张压时间升高百分比(PTE%-DBP)对阴虚阳亢证有影响(P<0.05)。结论青年高血压病住院患者中痰瘀互结证最多,中医证型与年龄、既往史、高血压病分期、相关血清学指标及动态血压指标之间存在一定的相关关系。展开更多
基金supported by the National Natural Science Foundation of China(No.41504102)the High-level Talents Initiation Project of North China University of Water Resources and Electric Power(No.40438)
文摘Multiple wave is one of the important factors affecting the signal-to-noise ratio of marine seismic data.The model-driven-method(MDM)can effectively predict and suppress water-related multiple waves,while the quality of the multiple wave contribution gathers(MCG)can affect the prediction accuracy of multiple waves.Based on the compressed sensing framework,this study used the sparse constraint under LO norm to optimize MCG,which can not only reduce the false in the prediction and improve the image accuracy,but also saves computing time.At the same time,the MDM-type method for multiple wave suppression can be improved.The unified prediction of multiple types of water-related multiple waves weakens the dependence of conventional MDM on the adaptive subtraction process in suppressing water-related multiple waves,improves the stability of the method,and simultaneously,reduces the computational load.Finally,both theoretical model and practical data prove the effectiveness of the present method.
文摘目的探讨青年原发性高血压病中医证型与相关因素间的关系。方法采用横断面研究设计,收集2017年12月—2021年12月中国中医科学院西苑医院心血管科住院患者中符合纳排标准的病例资料,通过Logistic回归分析方法探讨相关关系。结果研究共纳入202例青年高血压病住院病例,中医证型分布依次为痰瘀互结证(51.98%)、阴虚阳亢证(24.75%)、气血两虚证(15.84%)、肾阳亏虚证(7.43%)。Logistic回归分析显示,脑梗死病史、高血压病分期、低密度脂蛋白胆固醇(LDL-C)水平、24 h平均收缩压(24 h ASBP)、24 h平均脉搏(24 h AP)、日间平均脉搏(dAP)、夜间平均脉搏(n AP)对气血两虚证有影响(P<0.05);高血压病分期、脂蛋白B(Apo B)水平、最高收缩压(max-SBP)对肾阳亏虚证有影响(P<0.05);脂肪肝病史、高密度脂蛋白胆固醇(HDL-C)降低、LDL-C升高、糖化血红蛋白(HbA1c)升高、估算肾小球滤过率(eGFR)降低、24 h AP、dAP对痰瘀互结证有影响(P<0.05);年龄、动脉粥样硬化、LDL-C降低、Apo B降低、HbA1c升高、夜间平均舒张压(nADBP)、舒张压时间升高百分比(PTE%-DBP)对阴虚阳亢证有影响(P<0.05)。结论青年高血压病住院患者中痰瘀互结证最多,中医证型与年龄、既往史、高血压病分期、相关血清学指标及动态血压指标之间存在一定的相关关系。
