Liquid rocket engine(LRE)fault diagnosis is critical for successful space launch missions,enabling timely avoidance of safety hazards,while accurate post-failure analysis prevents subsequent economic losses.However,th...Liquid rocket engine(LRE)fault diagnosis is critical for successful space launch missions,enabling timely avoidance of safety hazards,while accurate post-failure analysis prevents subsequent economic losses.However,the complexity of LRE systems and the“black-box”nature of current deep learning-based diagnostic methods hinder interpretable fault diagnosis.This paper establishes Granger causality(GC)extraction-based component-wise multi-layer perceptron(GCMLP),achieving high fault diagnosis accuracy while leveraging GC to enhance diagnostic interpretability.First,component-wise MLP networks are constructed for distinct LRE variables to extract inter-variable GC relationships.Second,dedicated predictors are designed for each variable,leveraging historical data and GC relationships to forecast future states,thereby ensuring GC reliability.Finally,the extracted GC features are utilized for fault classification,guaranteeing feature discriminability and diagnosis accuracy.This study simulates six critical fault modes in LRE using Simulink.Based on the generated simulation data,GCMLP demonstrates superior fault localization accuracy compared to benchmark methods,validating its efficacy and robustness.展开更多
The isotope effect on zonal flows(ZFs)and turbulence remains a key issue that is not completely solved in fusion plasmas.This paper presents the first experimental results of the ab initio prediction of causal relatio...The isotope effect on zonal flows(ZFs)and turbulence remains a key issue that is not completely solved in fusion plasmas.This paper presents the first experimental results of the ab initio prediction of causal relation between geodesic acoustic mode(GAM)and ambient turbulence at different isotope masses in the edge of HL-2A tokamak,where transfer entropy method based on information-theoretical approach is utilized as a quantified indicator of causality.Analysis shows that GAM is more pronounced in deuterium plasmas than in hydrogen,leading to a lower heat transport as well as more peaked profiles in the former situation.The causal impact of GAM on conductive heat flux component is stronger than on the convective component,which is resulted from a larger causal influence of zonal flow on temperature fluctuation.While a stronger GAM in deuterium plasmas has larger influence on all flux components,the relative change in temperature fluctuation and coefficient is more obvious when the ion mass varies.These findings not only offer an in-depth understanding of the real causality between zonal flow and turbulence in the present isotope experiments,but also provide useful ways for the physical understandings of transport and zonal flow dynamics in future deuterium-tritium fusion plasmas.展开更多
Hemorrhagic stroke,the second leading cause of stroke,is a severe medical emergency that often leads to severe disability or death;however,the causal relationship between antibody-mediated immune responses and hemorrh...Hemorrhagic stroke,the second leading cause of stroke,is a severe medical emergency that often leads to severe disability or death;however,the causal relationship between antibody-mediated immune responses and hemorrhagic stroke remains unknown.This study aimed to investigate the potential causal relationship between antibody-mediated immune responses to infectious agents and hemorrhagic stroke using the two-sample Mendelian randomization(MR)method.Comprehensive analyses were conducted using publicly available data from genome-wide association study(GWAS),which involved the whole genomes of 9724 European participants and 46 antibody measurement phenotypes,and summary statistics from the FinnGen dataset R12(including intracerebral hemorrhage and subarachnoid hemorrhage)were used.The causal relationship between the aforementioned immune responses and hemorrhagic stroke was analyzed using inverse-variance weighting,MR-Egger regression,weighted median,weighted mode,simple mode,and MR-pleiotropy residual sum and outlier(MR-PRESSO),while various sensitivity analyses were performed to assess heterogeneity and pleiotropy in the study findings.Results showed that human herpes virus 7(HHV-7)U14 antibody levels(OR:0.877,95%CI:0.797-0.964,P=0.007)exerted a protective effect against hemorrhagic stroke,and Chlamydia trachomatis(CT)tarp-D F2 antibody levels(OR:0.937,95%CI:0.885-0.992,P=0.025)had a potential protective effect;additionally,Epstein-Barr virus(EBV)ZEBRA antibody levels(OR:1.062,95%CI:1.012-1.114,P=0.014),human herpesvirus 6(HHV-6)p101k antibody levels(OR:1.054,95%CI:1.002-1.108,P=0.042),and cytomegalovirus(CMV)pp150 antibody levels(OR:1.086,95%CI:1.002-1.176,P=0.045)were potential risk factors for the disease.No significant pleiotropy or heterogeneity was observed in any of the MR analyses.Collectively,these findings confirmed a significant causal relationship between antibody-mediated immune responses and hemorrhagic stroke,and this study contributed to a deeper understanding of the potential mechanisms underlying hemorrhagic stroke onset.展开更多
An improved safety analysis based on the causality diagram for the complex system of micro aero-engines is presented.The study is examined by using the causality diagram in analytical failure cases due to rupture or p...An improved safety analysis based on the causality diagram for the complex system of micro aero-engines is presented.The study is examined by using the causality diagram in analytical failure cases due to rupture or pentration in the receiver of micro turbojet engine casing,and the comparisons are also made with the results from the traditional fault tree analysis.Experimental results show two main advantages：（1）Quantitative analysis which is more reliable for the failure analysis in jet engines can be produced by the causality diagram analysis;（2）Graphical representation of causality diagram is easier to apply in real test cases and more effective for the safety assessment.展开更多
背景:炎症是脑卒中病理生理过程的关键组成部分,然而脑卒中与炎症之间的因果关系仍不清楚。目的:采用孟德尔随机化及分子对接技术探索91种靶向炎症细胞因子的脑卒中治疗机制。方法:从开放全基因组关联研究数据库(IEU Open GWAS,https://...背景:炎症是脑卒中病理生理过程的关键组成部分,然而脑卒中与炎症之间的因果关系仍不清楚。目的:采用孟德尔随机化及分子对接技术探索91种靶向炎症细胞因子的脑卒中治疗机制。方法:从开放全基因组关联研究数据库(IEU Open GWAS,https://gwas.mrcieu.ac.uk/,由英国布里斯托大学医学研究委员会综合流行病学单位主办)中获得炎症细胞因子及脑卒中的数据,使用逆方差加权法作为主要研究方法进行两样本孟德尔随机化分析,评估91种炎症细胞因子与脑卒中之间的因果关系。随后基于孟德尔随机化研究结果进行了基因本体分析和京都基因与基因组通路分析,并构建了蛋白质-蛋白质相互作用网络。使用美国西奈山伊坎医学院建立的Enrichr数据库(http://amp.pharm.mssm.edu/Enrichr)和美国科罗拉多大学丹佛分校建立的药物特征数据库(http://tanlab.ucdenver.edu/dsigdb)进行脑卒中治疗药物预测,并使用AutoDock软件进行分子对接,通过Discovery Studio2019对结果进行可视化。结果与结论:(1)发现11种炎症细胞因子与全因脑卒中风险之间存在显著的因果关联;9种炎症细胞因子与缺血性脑卒中风险呈强相关;6种细胞因子与大动脉脑卒中风险显著相关;7种炎症细胞因子与心源性栓塞性脑卒中风险呈显著因果关系;12种细胞因子与小血管脑卒中风险显著相关;3种炎症细胞因子与脑内出血风险具有显著的因果关联;(2)基因本体分析和京都基因与基因组通路分析揭示,炎症细胞因子在代谢、炎症及免疫反应等方面对脑卒中具有重要影响;(3)通过蛋白质-蛋白质相互作用网络分析,筛选出与脑卒中密切相关的10种炎症细胞因子;(4)药物预测和分子对接结果表明,阿托伐他汀和氟氢可的松与关键核心靶点白细胞介素18和CCL3的结合力较高;(5)此次研究的数据来源于国际数据库中的欧洲人群,所获得的结果可为中国脑卒中的遗传流行病学研究提供参考;(6)此次研究阐明了炎症细胞因子与脑卒中之间的因果关系,揭示了炎症细胞因子治疗脑卒中的机制,为脑卒中的治疗提供了新思路。展开更多
背景:近期研究表明,肠道菌群可能会影响肌萎缩侧索硬化症的发展进程,然而两者之间的因果关系尚不清楚。目的:利用孟德尔随机化方法探索肠道菌群与肌萎缩侧索硬化症之间的因果关系。方法:从IEU Open GWAS数据库(由英国布里斯托尔大学的...背景:近期研究表明,肠道菌群可能会影响肌萎缩侧索硬化症的发展进程,然而两者之间的因果关系尚不清楚。目的:利用孟德尔随机化方法探索肠道菌群与肌萎缩侧索硬化症之间的因果关系。方法:从IEU Open GWAS数据库(由英国布里斯托尔大学的英国医学研究委员会和遗传流行病学研究所开发,旨在提供与多种疾病相关的全基因组关联研究数据,为开放数据库)中分别获取肠道菌群和肌萎缩侧索硬化症的GWAS数据,以肠道菌群为暴露因素、肌萎缩侧索硬化症为结局变量,使用逆方差加权法、MR-Egger回归法、加权中位数法、加权模型法和简单模型法来探究两者之间的因果关系。使用敏感性分析检验孟德尔随机化结果的可靠性,使用反向孟德尔随机化分析进一步验证两者间的因果关系。结果与结论:(1)正向孟德尔随机化分析结果表明,6种肠道菌群与肌萎缩侧索硬化症之间存在因果关系,其中嗜胆菌属(β=0.206,OR=1.229)、毛螺菌属(β=0.288,OR=1.333)、马文-布莱恩特氏菌属(β=0.196,OR=1.216)、瘤胃球菌UCG010属(β=0.254,OR=1.289)和泰泽氏菌属3型(β=0.128,OR=1.136)可能是肌萎缩侧索硬化症的潜在危险因素,肠杆菌属(β=-0.203,OR=0.816)可能是肌萎缩侧索硬化症的保护因素;(2)在敏感性分析中,未发现显著的异质性和水平多效性(P均> 0.05),反向孟德尔随机化分析亦未揭示肠道菌群与肌萎缩侧索硬化症之间存在反向因果关系;(3)该研究结果不仅为肌萎缩侧索硬化症治疗提供了潜在的生物标志物,还为开发基于肠道菌群的新的干预治疗方案提供了理论依据,对中国基础医学研究具有一定的启示意义。展开更多
文摘Liquid rocket engine(LRE)fault diagnosis is critical for successful space launch missions,enabling timely avoidance of safety hazards,while accurate post-failure analysis prevents subsequent economic losses.However,the complexity of LRE systems and the“black-box”nature of current deep learning-based diagnostic methods hinder interpretable fault diagnosis.This paper establishes Granger causality(GC)extraction-based component-wise multi-layer perceptron(GCMLP),achieving high fault diagnosis accuracy while leveraging GC to enhance diagnostic interpretability.First,component-wise MLP networks are constructed for distinct LRE variables to extract inter-variable GC relationships.Second,dedicated predictors are designed for each variable,leveraging historical data and GC relationships to forecast future states,thereby ensuring GC reliability.Finally,the extracted GC features are utilized for fault classification,guaranteeing feature discriminability and diagnosis accuracy.This study simulates six critical fault modes in LRE using Simulink.Based on the generated simulation data,GCMLP demonstrates superior fault localization accuracy compared to benchmark methods,validating its efficacy and robustness.
基金supported by the National MCF Energy Research and Development Program(Grant Nos.2024YFE03190001,2024YFE03190004,2022YFE03030001,and 2019YFE03030002)the National Natural Science Foundation of China(Grant Nos.12405257,12475215,and 12475219)+2 种基金the Natural Science Foundation of Sichuan Province,China(Grant Nos.2023NSFSC1289 and 2025ZNSFSC0066)the Nuclear Technology Research and Development Program(Grant No.HJSYF2024(02))the Innovation Program of Southwestern Institute of Physics(Grant No.202301XWCX001)。
文摘The isotope effect on zonal flows(ZFs)and turbulence remains a key issue that is not completely solved in fusion plasmas.This paper presents the first experimental results of the ab initio prediction of causal relation between geodesic acoustic mode(GAM)and ambient turbulence at different isotope masses in the edge of HL-2A tokamak,where transfer entropy method based on information-theoretical approach is utilized as a quantified indicator of causality.Analysis shows that GAM is more pronounced in deuterium plasmas than in hydrogen,leading to a lower heat transport as well as more peaked profiles in the former situation.The causal impact of GAM on conductive heat flux component is stronger than on the convective component,which is resulted from a larger causal influence of zonal flow on temperature fluctuation.While a stronger GAM in deuterium plasmas has larger influence on all flux components,the relative change in temperature fluctuation and coefficient is more obvious when the ion mass varies.These findings not only offer an in-depth understanding of the real causality between zonal flow and turbulence in the present isotope experiments,but also provide useful ways for the physical understandings of transport and zonal flow dynamics in future deuterium-tritium fusion plasmas.
基金Supported by the National Natural Science Foundations of China(82271340,82071368)。
文摘Hemorrhagic stroke,the second leading cause of stroke,is a severe medical emergency that often leads to severe disability or death;however,the causal relationship between antibody-mediated immune responses and hemorrhagic stroke remains unknown.This study aimed to investigate the potential causal relationship between antibody-mediated immune responses to infectious agents and hemorrhagic stroke using the two-sample Mendelian randomization(MR)method.Comprehensive analyses were conducted using publicly available data from genome-wide association study(GWAS),which involved the whole genomes of 9724 European participants and 46 antibody measurement phenotypes,and summary statistics from the FinnGen dataset R12(including intracerebral hemorrhage and subarachnoid hemorrhage)were used.The causal relationship between the aforementioned immune responses and hemorrhagic stroke was analyzed using inverse-variance weighting,MR-Egger regression,weighted median,weighted mode,simple mode,and MR-pleiotropy residual sum and outlier(MR-PRESSO),while various sensitivity analyses were performed to assess heterogeneity and pleiotropy in the study findings.Results showed that human herpes virus 7(HHV-7)U14 antibody levels(OR:0.877,95%CI:0.797-0.964,P=0.007)exerted a protective effect against hemorrhagic stroke,and Chlamydia trachomatis(CT)tarp-D F2 antibody levels(OR:0.937,95%CI:0.885-0.992,P=0.025)had a potential protective effect;additionally,Epstein-Barr virus(EBV)ZEBRA antibody levels(OR:1.062,95%CI:1.012-1.114,P=0.014),human herpesvirus 6(HHV-6)p101k antibody levels(OR:1.054,95%CI:1.002-1.108,P=0.042),and cytomegalovirus(CMV)pp150 antibody levels(OR:1.086,95%CI:1.002-1.176,P=0.045)were potential risk factors for the disease.No significant pleiotropy or heterogeneity was observed in any of the MR analyses.Collectively,these findings confirmed a significant causal relationship between antibody-mediated immune responses and hemorrhagic stroke,and this study contributed to a deeper understanding of the potential mechanisms underlying hemorrhagic stroke onset.
文摘An improved safety analysis based on the causality diagram for the complex system of micro aero-engines is presented.The study is examined by using the causality diagram in analytical failure cases due to rupture or pentration in the receiver of micro turbojet engine casing,and the comparisons are also made with the results from the traditional fault tree analysis.Experimental results show two main advantages：（1）Quantitative analysis which is more reliable for the failure analysis in jet engines can be produced by the causality diagram analysis;（2）Graphical representation of causality diagram is easier to apply in real test cases and more effective for the safety assessment.
文摘背景:炎症是脑卒中病理生理过程的关键组成部分,然而脑卒中与炎症之间的因果关系仍不清楚。目的:采用孟德尔随机化及分子对接技术探索91种靶向炎症细胞因子的脑卒中治疗机制。方法:从开放全基因组关联研究数据库(IEU Open GWAS,https://gwas.mrcieu.ac.uk/,由英国布里斯托大学医学研究委员会综合流行病学单位主办)中获得炎症细胞因子及脑卒中的数据,使用逆方差加权法作为主要研究方法进行两样本孟德尔随机化分析,评估91种炎症细胞因子与脑卒中之间的因果关系。随后基于孟德尔随机化研究结果进行了基因本体分析和京都基因与基因组通路分析,并构建了蛋白质-蛋白质相互作用网络。使用美国西奈山伊坎医学院建立的Enrichr数据库(http://amp.pharm.mssm.edu/Enrichr)和美国科罗拉多大学丹佛分校建立的药物特征数据库(http://tanlab.ucdenver.edu/dsigdb)进行脑卒中治疗药物预测,并使用AutoDock软件进行分子对接,通过Discovery Studio2019对结果进行可视化。结果与结论:(1)发现11种炎症细胞因子与全因脑卒中风险之间存在显著的因果关联;9种炎症细胞因子与缺血性脑卒中风险呈强相关;6种细胞因子与大动脉脑卒中风险显著相关;7种炎症细胞因子与心源性栓塞性脑卒中风险呈显著因果关系;12种细胞因子与小血管脑卒中风险显著相关;3种炎症细胞因子与脑内出血风险具有显著的因果关联;(2)基因本体分析和京都基因与基因组通路分析揭示,炎症细胞因子在代谢、炎症及免疫反应等方面对脑卒中具有重要影响;(3)通过蛋白质-蛋白质相互作用网络分析,筛选出与脑卒中密切相关的10种炎症细胞因子;(4)药物预测和分子对接结果表明,阿托伐他汀和氟氢可的松与关键核心靶点白细胞介素18和CCL3的结合力较高;(5)此次研究的数据来源于国际数据库中的欧洲人群,所获得的结果可为中国脑卒中的遗传流行病学研究提供参考;(6)此次研究阐明了炎症细胞因子与脑卒中之间的因果关系,揭示了炎症细胞因子治疗脑卒中的机制,为脑卒中的治疗提供了新思路。
文摘背景:近期研究表明,肠道菌群可能会影响肌萎缩侧索硬化症的发展进程,然而两者之间的因果关系尚不清楚。目的:利用孟德尔随机化方法探索肠道菌群与肌萎缩侧索硬化症之间的因果关系。方法:从IEU Open GWAS数据库(由英国布里斯托尔大学的英国医学研究委员会和遗传流行病学研究所开发,旨在提供与多种疾病相关的全基因组关联研究数据,为开放数据库)中分别获取肠道菌群和肌萎缩侧索硬化症的GWAS数据,以肠道菌群为暴露因素、肌萎缩侧索硬化症为结局变量,使用逆方差加权法、MR-Egger回归法、加权中位数法、加权模型法和简单模型法来探究两者之间的因果关系。使用敏感性分析检验孟德尔随机化结果的可靠性,使用反向孟德尔随机化分析进一步验证两者间的因果关系。结果与结论:(1)正向孟德尔随机化分析结果表明,6种肠道菌群与肌萎缩侧索硬化症之间存在因果关系,其中嗜胆菌属(β=0.206,OR=1.229)、毛螺菌属(β=0.288,OR=1.333)、马文-布莱恩特氏菌属(β=0.196,OR=1.216)、瘤胃球菌UCG010属(β=0.254,OR=1.289)和泰泽氏菌属3型(β=0.128,OR=1.136)可能是肌萎缩侧索硬化症的潜在危险因素,肠杆菌属(β=-0.203,OR=0.816)可能是肌萎缩侧索硬化症的保护因素;(2)在敏感性分析中,未发现显著的异质性和水平多效性(P均> 0.05),反向孟德尔随机化分析亦未揭示肠道菌群与肌萎缩侧索硬化症之间存在反向因果关系;(3)该研究结果不仅为肌萎缩侧索硬化症治疗提供了潜在的生物标志物,还为开发基于肠道菌群的新的干预治疗方案提供了理论依据,对中国基础医学研究具有一定的启示意义。
