Multiple suppression is an important element of marine seismic data processing.Intelligent suppression of multiples us-ing artificial intelligence reduces labor costs,minimizes dependence on unknown prior information,...Multiple suppression is an important element of marine seismic data processing.Intelligent suppression of multiples us-ing artificial intelligence reduces labor costs,minimizes dependence on unknown prior information,and improves data processing ef-ficiency.In this study,we propose an intelligent method for suppressing marine seismic multiples using deep learning approaches.The proposed method enables the intelligent suppression of free-surface-related multiples from seismic records.Initially,we construct a multi-category marine seismic multiple dataset through finite difference forward modeling under different boundary conditions.We use various models and data augmentation methods,including sample rotation,noise addition,and random channel omission.Then,we apply depthwise separable convolution to develop our deep learning Mobilenet-Unet model.The Mobilenet-Unet framework sig-nificantly reduces the number of operations required for multiple elimination without sacrificing model performance,ultimately reali-zing the optimal multiple suppression model.The trained Mobilenet-Unet is applied to the test set for verification.Moreover,to deter-mine its generalization ability,it is implemented to seismic records containing multiples generated by two marine geophysical models that were not included in the training process.The performance of Mobilenet-Unet is also compared with that of different network structures.The results indicate that,despite its small size,our proposed Mobilenet-Unet deep learning model can rapidly and effective-ly separate multiples in marine seismic data,possessing reasonable generalization ability.展开更多
The deep convolutional neural network U-net has been introduced into adaptive subtraction, which is a critical step in effectively suppressing seismic multiples. The U-net approach has higher precision than the tradit...The deep convolutional neural network U-net has been introduced into adaptive subtraction, which is a critical step in effectively suppressing seismic multiples. The U-net approach has higher precision than the traditional linear regression approach. However, the existing 2D U-net approach with 2D data windows can not deal with elaborate discrepancies between the actual and simulated multiples along the gather direction. It may lead to erroneous preservation of primaries or generate obvious vestigial multiples, especially in complex media. To further enhance the multiple suppression accuracy, we present an adaptive subtraction approach utilizing 3D U-net architecture, which can adaptively separate primaries and multiples utilizing 3D windows. The utilization of 3D windows allows for enhanced depiction of spatial continuity and anisotropy of seismic events along the gather direction in comparison to 2D windows. The 3D U-net approach with 3D windows can more effectively preserve the continuity of primaries and manage the complex disparities between the actual and simulated multiples. The proposed 3D U-net approach exhibits 1 dB improvement in the signal-to-noise ratio compared to the 2D U-net approach, as observed in the synthesis data section, and exhibits more outstanding performance in the preservation of primaries and removal of residual multiples in both synthesis and reality data sections. Moreover, to expedite network training in our proposed 3D U-net approach we employ the transfer learning (TL) strategy by utilizing the network parameters of 3D U-net estimated in the preceding data segment as the initial network parameters of 3D U-net for the subsequent data segment. In the reality data section, the 3D U-net approach incorporating TL reduces the computational expense by 70% compared to the one without TL.展开更多
The adaptive digital beamforming technique in the space-polarization domain suppresses the interference with forming the coupling nulls of space and polarization domain.When there is the interference in mainlobe,it wi...The adaptive digital beamforming technique in the space-polarization domain suppresses the interference with forming the coupling nulls of space and polarization domain.When there is the interference in mainlobe,it will cause serious mainlobe distortion,that the target detection suffers from.To overcome this problem and make radar cope with the complex multiple interferences scenarios,we propose a multiple mainlobe and/or sidelobe interferences suppression method for dual polarization array radar.Specifically,the proposed method consists of a signal preprocessing based on the proposed angle estimation with degree of polarization(DoP),and a filtering criterion based on the proposed linear constraint.The signal preprocessing provides the accurate estimated parameters of the interference,which contributes to the criterion for null-decoupling in the space-polarization domain of mainlobe.The proposed method can reduce the mainlobe distortion in the space-polarization domain while suppressing the multiple mainlobe and/or sidelobe interferences.The effectiveness of the proposed method is verified by simulations.展开更多
Aiming at the suppression of enemy air defense(SEAD)task under the complex and complicated combat sce-nario,the spatiotemporal cooperative path planning methods are studied in this paper.The major research contents in...Aiming at the suppression of enemy air defense(SEAD)task under the complex and complicated combat sce-nario,the spatiotemporal cooperative path planning methods are studied in this paper.The major research contents include opti-mal path points generation,path smoothing and cooperative rendezvous.In the path points generation part,the path points availability testing algorithm and the path segments availability testing algorithm are designed,on this foundation,the swarm intelligence-based path point generation algorithm is utilized to generate the optimal path.In the path smoothing part,taking ter-minal attack angle constraint and maneuverability constraint into consideration,the Dubins curve is introduced to smooth the path segments.In cooperative rendezvous part,we take esti-mated time of arrival requirement constraint and flight speed range constraint into consideration,the speed control strategy and flight path control strategy are introduced,further,the decoupling scheme of the circling maneuver and detouring maneuver is designed,in this case,the maneuver ways,maneu-ver point,maneuver times,maneuver path and flight speed are determined.Finally,the simulation experiments are conducted and the acquired results reveal that the time-space cooperation of multiple unmanned aeriel vehicles(UAVs)is effectively real-ized,in this way,the combat situation suppression against the enemy can be realized in SEAD scenarios.展开更多
Principles of polynomial fitting zero offset profile are introduced, and a new polynomial fitting method, tbe time-amplitude dual fitting method, is developed. The method can be used to purify seismic waves and suppre...Principles of polynomial fitting zero offset profile are introduced, and a new polynomial fitting method, tbe time-amplitude dual fitting method, is developed. The method can be used to purify seismic waves and suppress multiples. The effect of suppressing multiples is compared with other multiple suppression methods.展开更多
Beam structures are extensively used in many engineering branches.For marine engineering,the ship shafting system is generally simplified as a vibration model with single or multiple beam structures connected by the c...Beam structures are extensively used in many engineering branches.For marine engineering,the ship shafting system is generally simplified as a vibration model with single or multiple beam structures connected by the coupling stiffness.In engineering,multiple nonlinear energy sinks(NESs)can be arranged on the premise of sufficient installation space to ensure their vibration suppression effect.Considering engineering practice,this study investigates the dynamic behavior and vibration suppression of a generally restrained pre-pressure beam structure with multiple uniformly distributed NESs,where the prepressure is typically caused by thrust bearings,installation ways,and others.System governing equations are derived through the generalized Hamiltonian principle and the variational procedure.Dynamic responses of the pre-pressure beam structure are predicted by the Galerkin truncation method.The effect of NESs on dynamic responses and vibration suppression of the pre-pressure beam structure is studied and discussed.Suitable parameters of NESs have a beneficial effect on the vibration suppression at both ends of the pre-pressure beam structure.NESs can modify the vibration frequency and energy transmission characteristics of the vibration system.For different boundary conditions,the optimized parameters of NESs significantly suppress the vibration energy of the pre-pressure beam structure.展开更多
Objective:To investigate the effects of Bortezomib and Dexamethasone combination on treating senile multiple myeloma and influence on immune suppressed factors and immune cell levels.Methods:A total of 80 cases of pat...Objective:To investigate the effects of Bortezomib and Dexamethasone combination on treating senile multiple myeloma and influence on immune suppressed factors and immune cell levels.Methods:A total of 80 cases of patients with multiple myeloma treated in our hospital from Oct 2013 to Jul 2015 were selected as investigate subjects. They were randomly divided to be observation group consisted of 43 cases and control group consisted of 37 cases. For observation group, treatment of Bortezomib and Dexamethasone combination was provided. For control group, Vincristine + Epirubicin + Dexamethasone treatment was provided. After three courses, effects on two groups of patients were compared, and immune suppressed factors and immune cell levels before and after treatment in different periods were compared.Results:After three courses of treatment, the total effective rate in observation group was significantly higher than control group. Before treatment, IL-6, IL-17, TGF-β, CD3+CD4+, CD3+CD8+ and CD3+CD4+/CD3+CD8+ between the two group of patients were compared, no significant difference showed;After treatment for 6 weeks, IL-6, IL-17 levels in observation group were significantly decreased comparing with the same group before treatment;After treatment for 12 weeks, IL-6, IL-17 and TGF-β levels in observation group were significantly decreased comparing with the same group before treatment;After treatment, IL-6, IL-17 levels in observation group were significantly lower than control group at the same phase. After treatment for 12 weeks, CD3+CD4+, CD3+CD4+/CD3+CD8+ in observation group were significantly higher than the same group before treatment, and significantly higher than control group at the same phase;CD3+CD8+ in observation group was significantly lower than the same group before treatment, and significantly lower than control group at the same phase. Conclusion:Compared with Vincristine + Epirubicin + Dexamethasone treatment, Bortezomib and Dexamethasone combination on treating senile multiple myeloma had more significant effects, which deserves further clinical researches.展开更多
The Transmit BeamForming (TBF) technology, applied in a multiple-transmit radar system, is studied in this paper, where multiple elements of antenna array transmit binary Zero Correlation Zones Orthogonal Signals (ZCZ...The Transmit BeamForming (TBF) technology, applied in a multiple-transmit radar system, is studied in this paper, where multiple elements of antenna array transmit binary Zero Correlation Zones Orthogonal Signals (ZCZ-OS) independently. For each Direction Of Arrival (DOA) with respect to the transmitting array, the analysis on the gain and sidelobe level of TBF output is presented. This paper focuses on the range sidelobes performance within the main beam (in angle domain). For the normal direction, due to the inherent phase property of ZCZ-OS, the TBF output has part zero sidelobes area, of which the distribution is discussed. For the other directions, a systematic search algorithm to optimize the transmission order of signals is proposed for an optimal relationship chart of DOA and transmission order. The range sidelobe performance within the main beam can be improved as the optimal transmission order is adopted.展开更多
Eff ective attenuation of seismic multiples is a crucial step in the seismic data processing workfl ow.Despite the existence of various methods for multiple attenuation,challenges persist,such as incomplete attenuatio...Eff ective attenuation of seismic multiples is a crucial step in the seismic data processing workfl ow.Despite the existence of various methods for multiple attenuation,challenges persist,such as incomplete attenuation and high computational requirements,particularly in complex geological conditions.Conventional multiple attenuation methods rely on prior geological information and involve extensive computations.Using deep neural networks for multiple attenuation can effectively reduce manual labor costs while improving the efficiency of multiple suppression.This study proposes an improved U-net-based method for multiple attenuation.The conventional U-net serves as the primary network,incorporating an attentional local contrast module to effectively process detailed information in seismic data.Emphasis is placed on distinguishing between seismic multiples and primaries.The improved network is trained using seismic data containing both multiples and primaries as input and seismic data containing only primaries as output.The eff ectiveness and stability of the proposed method in multiple attenuation are validated using two horizontal layered velocity models and the Sigsbee2B velocity model.Transfer learning is employed to endow the trained model with the capability to suppress multiples across seismic exploration areas,eff ectively improving multiple attenuation efficiency.展开更多
目的采用网络药理学及分子对接方法研究二至丸治疗骨髓抑制(BMS)的物质基础及机制。方法利用中药系统药理学数据库与分析平台,获取二至丸中的活性成分及作用靶点,通过Swisstarget、TargetNet数据库补充化合物靶点;通过OMIM、Genecards...目的采用网络药理学及分子对接方法研究二至丸治疗骨髓抑制(BMS)的物质基础及机制。方法利用中药系统药理学数据库与分析平台,获取二至丸中的活性成分及作用靶点,通过Swisstarget、TargetNet数据库补充化合物靶点;通过OMIM、Genecards数据库等获取BMS的相关靶点;采用交集法筛选出疾病与二至丸活性组分的共同靶点,运用Cytoscape3.7.2构建“中药-化合物-靶点”网络,并通过String数据库构建蛋白-蛋白相互作用网络;使用David数据库进行KEGG通路和GO功能富集分析,并运用R version 3.6.3软件将结果进行可视化分析;利用Autodock vina软件研究分子对接,以期充分挖掘二至丸对骨髓抑制的作用靶点及作用机制。结果经数据库分析,获得二至丸的21个潜在活性成分和522个作用靶点,共搜集到672个疾病相关靶点,共同靶点主要有IL6、STAT3、ESR1、NFkB、HIF1α等。二至丸主要通过调节癌症、Th17细胞分化、PD-L1表达和PD-1检查、HIF-1信号通路、化学致癌-受体激活、PI3K-Akt信号通路、癌症中的微RNA等相关通路发挥治疗BMS的作用。分子对接验证:蒙花苷、β-谷甾醇、蟛蜞菊内酯、长蒴黄麻苷、光泽乌头碱与IL6、STAT3、ESR1、NFκB、HIF1A结合力强。结论二至丸治疗多发性骨髓瘤相关的骨髓抑制主要通过调节造血系统细胞周期停滞、促进红细胞生成和调节骨髓微环境。展开更多
基金supported by the Key Laboratory of Ma-rine Mineral Resources,Ministry of Natural Resources,Guangzhou(No.KLMMR-2022-G09)the Guangzhou Ba-sic Research Program-Basic and Basic Applied Research Project(No.2023A04J0917)the PI Project of South-ern Marine Science and Engineering Guangdong Labora-tory(Guangzhou)(No.GML2020GD0802).
文摘Multiple suppression is an important element of marine seismic data processing.Intelligent suppression of multiples us-ing artificial intelligence reduces labor costs,minimizes dependence on unknown prior information,and improves data processing ef-ficiency.In this study,we propose an intelligent method for suppressing marine seismic multiples using deep learning approaches.The proposed method enables the intelligent suppression of free-surface-related multiples from seismic records.Initially,we construct a multi-category marine seismic multiple dataset through finite difference forward modeling under different boundary conditions.We use various models and data augmentation methods,including sample rotation,noise addition,and random channel omission.Then,we apply depthwise separable convolution to develop our deep learning Mobilenet-Unet model.The Mobilenet-Unet framework sig-nificantly reduces the number of operations required for multiple elimination without sacrificing model performance,ultimately reali-zing the optimal multiple suppression model.The trained Mobilenet-Unet is applied to the test set for verification.Moreover,to deter-mine its generalization ability,it is implemented to seismic records containing multiples generated by two marine geophysical models that were not included in the training process.The performance of Mobilenet-Unet is also compared with that of different network structures.The results indicate that,despite its small size,our proposed Mobilenet-Unet deep learning model can rapidly and effective-ly separate multiples in marine seismic data,possessing reasonable generalization ability.
基金supported by National Natural Science Foundation of China(42364008,41804110)in part by Guizhou Provincial Basic Research Program(Natural Science)(ZK[2022]060)+1 种基金in part by China Postdoctoral Science Foundation(2022M723127)in part by Youth Innovation Team Project of Shandong Provincial Education Department(2022KJ141).
文摘The deep convolutional neural network U-net has been introduced into adaptive subtraction, which is a critical step in effectively suppressing seismic multiples. The U-net approach has higher precision than the traditional linear regression approach. However, the existing 2D U-net approach with 2D data windows can not deal with elaborate discrepancies between the actual and simulated multiples along the gather direction. It may lead to erroneous preservation of primaries or generate obvious vestigial multiples, especially in complex media. To further enhance the multiple suppression accuracy, we present an adaptive subtraction approach utilizing 3D U-net architecture, which can adaptively separate primaries and multiples utilizing 3D windows. The utilization of 3D windows allows for enhanced depiction of spatial continuity and anisotropy of seismic events along the gather direction in comparison to 2D windows. The 3D U-net approach with 3D windows can more effectively preserve the continuity of primaries and manage the complex disparities between the actual and simulated multiples. The proposed 3D U-net approach exhibits 1 dB improvement in the signal-to-noise ratio compared to the 2D U-net approach, as observed in the synthesis data section, and exhibits more outstanding performance in the preservation of primaries and removal of residual multiples in both synthesis and reality data sections. Moreover, to expedite network training in our proposed 3D U-net approach we employ the transfer learning (TL) strategy by utilizing the network parameters of 3D U-net estimated in the preceding data segment as the initial network parameters of 3D U-net for the subsequent data segment. In the reality data section, the 3D U-net approach incorporating TL reduces the computational expense by 70% compared to the one without TL.
基金supported by the National Natural Science Foundation of China(6190149661871385)。
文摘The adaptive digital beamforming technique in the space-polarization domain suppresses the interference with forming the coupling nulls of space and polarization domain.When there is the interference in mainlobe,it will cause serious mainlobe distortion,that the target detection suffers from.To overcome this problem and make radar cope with the complex multiple interferences scenarios,we propose a multiple mainlobe and/or sidelobe interferences suppression method for dual polarization array radar.Specifically,the proposed method consists of a signal preprocessing based on the proposed angle estimation with degree of polarization(DoP),and a filtering criterion based on the proposed linear constraint.The signal preprocessing provides the accurate estimated parameters of the interference,which contributes to the criterion for null-decoupling in the space-polarization domain of mainlobe.The proposed method can reduce the mainlobe distortion in the space-polarization domain while suppressing the multiple mainlobe and/or sidelobe interferences.The effectiveness of the proposed method is verified by simulations.
文摘Aiming at the suppression of enemy air defense(SEAD)task under the complex and complicated combat sce-nario,the spatiotemporal cooperative path planning methods are studied in this paper.The major research contents include opti-mal path points generation,path smoothing and cooperative rendezvous.In the path points generation part,the path points availability testing algorithm and the path segments availability testing algorithm are designed,on this foundation,the swarm intelligence-based path point generation algorithm is utilized to generate the optimal path.In the path smoothing part,taking ter-minal attack angle constraint and maneuverability constraint into consideration,the Dubins curve is introduced to smooth the path segments.In cooperative rendezvous part,we take esti-mated time of arrival requirement constraint and flight speed range constraint into consideration,the speed control strategy and flight path control strategy are introduced,further,the decoupling scheme of the circling maneuver and detouring maneuver is designed,in this case,the maneuver ways,maneu-ver point,maneuver times,maneuver path and flight speed are determined.Finally,the simulation experiments are conducted and the acquired results reveal that the time-space cooperation of multiple unmanned aeriel vehicles(UAVs)is effectively real-ized,in this way,the combat situation suppression against the enemy can be realized in SEAD scenarios.
文摘Principles of polynomial fitting zero offset profile are introduced, and a new polynomial fitting method, tbe time-amplitude dual fitting method, is developed. The method can be used to purify seismic waves and suppress multiples. The effect of suppressing multiples is compared with other multiple suppression methods.
基金supported by the National Natural Science Foundation of China(Grant No.11972125)the Fok Ying Tung Education Foundation(Grant No.161049).
文摘Beam structures are extensively used in many engineering branches.For marine engineering,the ship shafting system is generally simplified as a vibration model with single or multiple beam structures connected by the coupling stiffness.In engineering,multiple nonlinear energy sinks(NESs)can be arranged on the premise of sufficient installation space to ensure their vibration suppression effect.Considering engineering practice,this study investigates the dynamic behavior and vibration suppression of a generally restrained pre-pressure beam structure with multiple uniformly distributed NESs,where the prepressure is typically caused by thrust bearings,installation ways,and others.System governing equations are derived through the generalized Hamiltonian principle and the variational procedure.Dynamic responses of the pre-pressure beam structure are predicted by the Galerkin truncation method.The effect of NESs on dynamic responses and vibration suppression of the pre-pressure beam structure is studied and discussed.Suitable parameters of NESs have a beneficial effect on the vibration suppression at both ends of the pre-pressure beam structure.NESs can modify the vibration frequency and energy transmission characteristics of the vibration system.For different boundary conditions,the optimized parameters of NESs significantly suppress the vibration energy of the pre-pressure beam structure.
文摘Objective:To investigate the effects of Bortezomib and Dexamethasone combination on treating senile multiple myeloma and influence on immune suppressed factors and immune cell levels.Methods:A total of 80 cases of patients with multiple myeloma treated in our hospital from Oct 2013 to Jul 2015 were selected as investigate subjects. They were randomly divided to be observation group consisted of 43 cases and control group consisted of 37 cases. For observation group, treatment of Bortezomib and Dexamethasone combination was provided. For control group, Vincristine + Epirubicin + Dexamethasone treatment was provided. After three courses, effects on two groups of patients were compared, and immune suppressed factors and immune cell levels before and after treatment in different periods were compared.Results:After three courses of treatment, the total effective rate in observation group was significantly higher than control group. Before treatment, IL-6, IL-17, TGF-β, CD3+CD4+, CD3+CD8+ and CD3+CD4+/CD3+CD8+ between the two group of patients were compared, no significant difference showed;After treatment for 6 weeks, IL-6, IL-17 levels in observation group were significantly decreased comparing with the same group before treatment;After treatment for 12 weeks, IL-6, IL-17 and TGF-β levels in observation group were significantly decreased comparing with the same group before treatment;After treatment, IL-6, IL-17 levels in observation group were significantly lower than control group at the same phase. After treatment for 12 weeks, CD3+CD4+, CD3+CD4+/CD3+CD8+ in observation group were significantly higher than the same group before treatment, and significantly higher than control group at the same phase;CD3+CD8+ in observation group was significantly lower than the same group before treatment, and significantly lower than control group at the same phase. Conclusion:Compared with Vincristine + Epirubicin + Dexamethasone treatment, Bortezomib and Dexamethasone combination on treating senile multiple myeloma had more significant effects, which deserves further clinical researches.
基金Supported by the Major State Basic Research Development Program of China(973Program)(No.2011CB-707001,2010CB731903)Changjiang Scholars and Innovative Research Team in University(IRT0954)the National Natural Science Foundation of China(No.60971108,60825104)
文摘The Transmit BeamForming (TBF) technology, applied in a multiple-transmit radar system, is studied in this paper, where multiple elements of antenna array transmit binary Zero Correlation Zones Orthogonal Signals (ZCZ-OS) independently. For each Direction Of Arrival (DOA) with respect to the transmitting array, the analysis on the gain and sidelobe level of TBF output is presented. This paper focuses on the range sidelobes performance within the main beam (in angle domain). For the normal direction, due to the inherent phase property of ZCZ-OS, the TBF output has part zero sidelobes area, of which the distribution is discussed. For the other directions, a systematic search algorithm to optimize the transmission order of signals is proposed for an optimal relationship chart of DOA and transmission order. The range sidelobe performance within the main beam can be improved as the optimal transmission order is adopted.
基金supported by the Open Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation(PLN2022-51,PLN2021-21)the Open Fund of the Science and Technology Bureau of Nanchong City,Sichuan Province(23XNSYSX0089,SXQHJH046).
文摘Eff ective attenuation of seismic multiples is a crucial step in the seismic data processing workfl ow.Despite the existence of various methods for multiple attenuation,challenges persist,such as incomplete attenuation and high computational requirements,particularly in complex geological conditions.Conventional multiple attenuation methods rely on prior geological information and involve extensive computations.Using deep neural networks for multiple attenuation can effectively reduce manual labor costs while improving the efficiency of multiple suppression.This study proposes an improved U-net-based method for multiple attenuation.The conventional U-net serves as the primary network,incorporating an attentional local contrast module to effectively process detailed information in seismic data.Emphasis is placed on distinguishing between seismic multiples and primaries.The improved network is trained using seismic data containing both multiples and primaries as input and seismic data containing only primaries as output.The eff ectiveness and stability of the proposed method in multiple attenuation are validated using two horizontal layered velocity models and the Sigsbee2B velocity model.Transfer learning is employed to endow the trained model with the capability to suppress multiples across seismic exploration areas,eff ectively improving multiple attenuation efficiency.
文摘目的采用网络药理学及分子对接方法研究二至丸治疗骨髓抑制(BMS)的物质基础及机制。方法利用中药系统药理学数据库与分析平台,获取二至丸中的活性成分及作用靶点,通过Swisstarget、TargetNet数据库补充化合物靶点;通过OMIM、Genecards数据库等获取BMS的相关靶点;采用交集法筛选出疾病与二至丸活性组分的共同靶点,运用Cytoscape3.7.2构建“中药-化合物-靶点”网络,并通过String数据库构建蛋白-蛋白相互作用网络;使用David数据库进行KEGG通路和GO功能富集分析,并运用R version 3.6.3软件将结果进行可视化分析;利用Autodock vina软件研究分子对接,以期充分挖掘二至丸对骨髓抑制的作用靶点及作用机制。结果经数据库分析,获得二至丸的21个潜在活性成分和522个作用靶点,共搜集到672个疾病相关靶点,共同靶点主要有IL6、STAT3、ESR1、NFkB、HIF1α等。二至丸主要通过调节癌症、Th17细胞分化、PD-L1表达和PD-1检查、HIF-1信号通路、化学致癌-受体激活、PI3K-Akt信号通路、癌症中的微RNA等相关通路发挥治疗BMS的作用。分子对接验证:蒙花苷、β-谷甾醇、蟛蜞菊内酯、长蒴黄麻苷、光泽乌头碱与IL6、STAT3、ESR1、NFκB、HIF1A结合力强。结论二至丸治疗多发性骨髓瘤相关的骨髓抑制主要通过调节造血系统细胞周期停滞、促进红细胞生成和调节骨髓微环境。
