AIM:To clarify the clinical correlations and causal relationships between lipid metabolism and the progression of thyroid-associated ophthalmopathy(TAO).METHODS:This case-control study retrieved clinical data from 201...AIM:To clarify the clinical correlations and causal relationships between lipid metabolism and the progression of thyroid-associated ophthalmopathy(TAO).METHODS:This case-control study retrieved clinical data from 2018 to 2023.A total of 2591 patients were enrolled,including 197 patients with TAO(case group)and 2394 patients with hyperthyroidism without TAO(control group).Serum lipid parameters,including triglycerides,total cholesterol,high-density lipoprotein(HDL),low-density lipoprotein(LDL),and the HDL/total cholesterol ratio,as well as thyroid function markers,were compared between the two groups.Correlation analyses were performed to evaluate the associations between serum lipid levels and key ocular manifestations of TAO,including exophthalmos degree,clinical activity score,and disease severity.Furthermore,Mendelian randomization(MR)analysis was conducted using genome-wide association study(GWAS)datasets,with hyperthyroidism as the exposure variable and serum lipid parameters as the outcome variables,to infer the causal relationship between hyperthyroidism,lipid metabolism,and TAO progression.RESULTS:The TAO group consisted of 101 males and 96 females,while the hyperthyroidism group included 706 males and 1688 females.Compared with the control group,patients with TAO had significantly higher levels of triglycerides(1.83±1.21 vs 1.40±1.08 mmol/L,P<0.01),total cholesterol,LDL,and HDL.Correlation analysis showed that triglyceride levels were positively correlated with exophthalmos degree,whereas HDL levels were inversely correlated with exophthalmos degree.No significant associations were found between serum lipid levels and clinical activity score(P>0.1).MR analysis confirmed that hyperthyroidism exerted a causal effect in reducing serum triglycerides[inverse-variance weighting odds ratio(OR)=0.035,95%confidence interval(CI):0.01-0.12]and total cholesterol(OR=0.085,95%CI:0.02-0.34),with no evidence of horizontal pleiotropy(MR-PRESSO P>0.05).CONCLUSION:Elevated serum triglyceride levels are an independent risk factor for TAO severity,especially exophthalmos,and triglyceride metabolism is inversely regulated by thyroid function.展开更多
Unconventional formations are characterized by high heterogeneity and anisotropy,making it difficult to interpret logging data,perform core analysis,and create accurate petrophysical models.To address this challenge,a...Unconventional formations are characterized by high heterogeneity and anisotropy,making it difficult to interpret logging data,perform core analysis,and create accurate petrophysical models.To address this challenge,a new methodologyhas been developed that uses Bayesian networks to perform rock-typing in unconventional reservoirs.The research combines,for the first time,logging data and thermal core profiling data to enhance classification accuracy based on Bayesian theory.The material used in this study is unique,encompassing extended logging and core data,a large number of full-size core samples,and various Bayesian networks.Constrained-based,score-based,and hybrid algorithms were applied to identify network structures.Comparing different Bayesian networks'performance was made possible by applying the methodology to rock-typing of 2923 full-size samples taken from three wells drilled in the central part of West Siberia through the Bazhenov Formation.Hybrid algorithms-K2-MPC and HCMwsT-gives the networks providing the most successful rock-typing(up to 84%of correctly classified samples).Naive Bayes'rock-typing quality is the worst,which indicates that the input data is not independent.Accounting for some thermal core profiling data improves(up to 6%)the quality of the rocktyping.Lessons we learned in obtaining an effective network structure are described.Bayesian networks and Random Forest provide similar rock typing results,but Bayesian networks give probabilities for samples belonging to each of the rock types studied and also allows specialists to grasp the causal relationships among input parameters.This research offers a new perspective for the analysis of unconventional reservoirs.展开更多
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
基金Supported by the National Natural Science Foundation of China(No.82371104)the Natural Science Foundation of Hunan Province(No.2023JJ30851).
文摘AIM:To clarify the clinical correlations and causal relationships between lipid metabolism and the progression of thyroid-associated ophthalmopathy(TAO).METHODS:This case-control study retrieved clinical data from 2018 to 2023.A total of 2591 patients were enrolled,including 197 patients with TAO(case group)and 2394 patients with hyperthyroidism without TAO(control group).Serum lipid parameters,including triglycerides,total cholesterol,high-density lipoprotein(HDL),low-density lipoprotein(LDL),and the HDL/total cholesterol ratio,as well as thyroid function markers,were compared between the two groups.Correlation analyses were performed to evaluate the associations between serum lipid levels and key ocular manifestations of TAO,including exophthalmos degree,clinical activity score,and disease severity.Furthermore,Mendelian randomization(MR)analysis was conducted using genome-wide association study(GWAS)datasets,with hyperthyroidism as the exposure variable and serum lipid parameters as the outcome variables,to infer the causal relationship between hyperthyroidism,lipid metabolism,and TAO progression.RESULTS:The TAO group consisted of 101 males and 96 females,while the hyperthyroidism group included 706 males and 1688 females.Compared with the control group,patients with TAO had significantly higher levels of triglycerides(1.83±1.21 vs 1.40±1.08 mmol/L,P<0.01),total cholesterol,LDL,and HDL.Correlation analysis showed that triglyceride levels were positively correlated with exophthalmos degree,whereas HDL levels were inversely correlated with exophthalmos degree.No significant associations were found between serum lipid levels and clinical activity score(P>0.1).MR analysis confirmed that hyperthyroidism exerted a causal effect in reducing serum triglycerides[inverse-variance weighting odds ratio(OR)=0.035,95%confidence interval(CI):0.01-0.12]and total cholesterol(OR=0.085,95%CI:0.02-0.34),with no evidence of horizontal pleiotropy(MR-PRESSO P>0.05).CONCLUSION:Elevated serum triglyceride levels are an independent risk factor for TAO severity,especially exophthalmos,and triglyceride metabolism is inversely regulated by thyroid function.
基金supported by the Ministry of Science and Higher Education of the Russian Federation provided under agreement No.075-10-2022-011 within the framework of the development program for a world-class Research Centre.
文摘Unconventional formations are characterized by high heterogeneity and anisotropy,making it difficult to interpret logging data,perform core analysis,and create accurate petrophysical models.To address this challenge,a new methodologyhas been developed that uses Bayesian networks to perform rock-typing in unconventional reservoirs.The research combines,for the first time,logging data and thermal core profiling data to enhance classification accuracy based on Bayesian theory.The material used in this study is unique,encompassing extended logging and core data,a large number of full-size core samples,and various Bayesian networks.Constrained-based,score-based,and hybrid algorithms were applied to identify network structures.Comparing different Bayesian networks'performance was made possible by applying the methodology to rock-typing of 2923 full-size samples taken from three wells drilled in the central part of West Siberia through the Bazhenov Formation.Hybrid algorithms-K2-MPC and HCMwsT-gives the networks providing the most successful rock-typing(up to 84%of correctly classified samples).Naive Bayes'rock-typing quality is the worst,which indicates that the input data is not independent.Accounting for some thermal core profiling data improves(up to 6%)the quality of the rocktyping.Lessons we learned in obtaining an effective network structure are described.Bayesian networks and Random Forest provide similar rock typing results,but Bayesian networks give probabilities for samples belonging to each of the rock types studied and also allows specialists to grasp the causal relationships among input parameters.This research offers a new perspective for the analysis of unconventional reservoirs.
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.
