Taking a study area in Jinzhong Basin in Qixian County,Shanxi Province,as an example,this work performs an intelligent interpretation of ground fissures.On the basis of a complete analysis of the regional geological b...Taking a study area in Jinzhong Basin in Qixian County,Shanxi Province,as an example,this work performs an intelligent interpretation of ground fissures.On the basis of a complete analysis of the regional geological background in the study area,dip-steering cube operation and median filtering of seismic data were performed using fast Fourier transform to improve the continuity of seismic events and eliminate random noise.A total of 200 stratigraphic continuous sample training points and 500 discontinuous training points were obtained from the processed seismic data.Thereafter,a variety of attributes(coherence,curvature,amplitude,frequency,etc.)were extracted as the input for the multilayer perceptron neural network training.During the training period,the training results were traced by normalized root mean square error(RMSE)and misclassifi cation.The training results showed a downward trend during the training period.The misclassifi cation curve was stable at 0.3,and the normalized RMSE curve was stable at 0.68.When the value of the normalized RMSE curve reached the minimum,the training was terminated,and the training results were extended to the whole data volume to obtain the attribute cube of intelligent ground fi ssure detection.The characteristics of ground fi ssures were analyzed and identifi ed from the sections and slices.A total of 11 ground fissures were finally interpreted.The interpretation results showed that the dip angles were 60°-85°,the fault throws were 0-43 m,and the extension lengths were 300-1,100 m in the whole area.The strike of 73%of the ground fi ssures was consistent with the direction of the regional tectonic settings.Specifi cally,four ground fi ssures coincided with the surface disclosed,and the verifi cation rate reached 100%.In conclusion,the intelligent ground fi ssure detection attribute based on the dip-steering cube is eff ective in predicting the spatial distribution of ground fi ssures.展开更多
Taurochenodeoxycholic acid(TCDCA)is one of the main effective components of bile acid,playing critical roles in apoptosis and immune responses through the TGR5 receptor.In this study,we reveal the interaction between ...Taurochenodeoxycholic acid(TCDCA)is one of the main effective components of bile acid,playing critical roles in apoptosis and immune responses through the TGR5 receptor.In this study,we reveal the interaction between TCDCA and TGR5 receptor in TGR5-knockdown H1299 cells and the regulation of inflammation via the cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)-cAMP response element binding(CREB)signal pathway in NR8383 macrophages.In TGR5-knockdown H1299 cells,TCDCA significantly activated cAMP level via TGR5 receptor,indicating TCDCA can bind to TGR5;in NR8383 macrophages TCDCA increased cAMP content compared to treatment with the adenylate cyclase(AC)inhibitor SQ22536.Moreover,activated cAMP can significantly enhance gene expression and protein levels of its downstream proteins PKA and CREB compared with groups of inhibitors.Additionally,TCDCA decreased tumour necrosis factor-α(TNF-α),interleukin-1β(IL-1β),IL-6,IL-8 and IL-12 through nuclear factor kappa light chain enhancer of activated B cells(NF-κB)activity.PKA and CREB are primary regulators of anti-inflammatory and immune response.Our results thus demonstrate TCDCA plays an essential anti-inflammatory role via the signaling pathway of cAMP-PKA-CREB induced by TGR5 receptor.展开更多
基金supported by the Joint Fund of the State Key Laboratory of Coal Resources and Safe Mining-Beijing University Outstanding Young Scientists Program Project (BJJWZYJH01201911413037)State Key Laboratory of“Coal Resources and Safe Mining”Open Fund (SKLCRSM19ZZ02)。
基金The study was supported by Open Fund of State Key Laboratory of Coal Resources and Safe Mining(Grant No.SKLCRSM19ZZ02)the National Natural Science Foundation of China(No.41702173)。
文摘Taking a study area in Jinzhong Basin in Qixian County,Shanxi Province,as an example,this work performs an intelligent interpretation of ground fissures.On the basis of a complete analysis of the regional geological background in the study area,dip-steering cube operation and median filtering of seismic data were performed using fast Fourier transform to improve the continuity of seismic events and eliminate random noise.A total of 200 stratigraphic continuous sample training points and 500 discontinuous training points were obtained from the processed seismic data.Thereafter,a variety of attributes(coherence,curvature,amplitude,frequency,etc.)were extracted as the input for the multilayer perceptron neural network training.During the training period,the training results were traced by normalized root mean square error(RMSE)and misclassifi cation.The training results showed a downward trend during the training period.The misclassifi cation curve was stable at 0.3,and the normalized RMSE curve was stable at 0.68.When the value of the normalized RMSE curve reached the minimum,the training was terminated,and the training results were extended to the whole data volume to obtain the attribute cube of intelligent ground fi ssure detection.The characteristics of ground fi ssures were analyzed and identifi ed from the sections and slices.A total of 11 ground fissures were finally interpreted.The interpretation results showed that the dip angles were 60°-85°,the fault throws were 0-43 m,and the extension lengths were 300-1,100 m in the whole area.The strike of 73%of the ground fi ssures was consistent with the direction of the regional tectonic settings.Specifi cally,four ground fi ssures coincided with the surface disclosed,and the verifi cation rate reached 100%.In conclusion,the intelligent ground fi ssure detection attribute based on the dip-steering cube is eff ective in predicting the spatial distribution of ground fi ssures.
基金supported by the National Natural Science Foundation of China(No.31160518)the Key Laboratory of Clinical Diagnosis and Treatment Techniques for Animal Disease(No.B20161012919)。
文摘Taurochenodeoxycholic acid(TCDCA)is one of the main effective components of bile acid,playing critical roles in apoptosis and immune responses through the TGR5 receptor.In this study,we reveal the interaction between TCDCA and TGR5 receptor in TGR5-knockdown H1299 cells and the regulation of inflammation via the cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)-cAMP response element binding(CREB)signal pathway in NR8383 macrophages.In TGR5-knockdown H1299 cells,TCDCA significantly activated cAMP level via TGR5 receptor,indicating TCDCA can bind to TGR5;in NR8383 macrophages TCDCA increased cAMP content compared to treatment with the adenylate cyclase(AC)inhibitor SQ22536.Moreover,activated cAMP can significantly enhance gene expression and protein levels of its downstream proteins PKA and CREB compared with groups of inhibitors.Additionally,TCDCA decreased tumour necrosis factor-α(TNF-α),interleukin-1β(IL-1β),IL-6,IL-8 and IL-12 through nuclear factor kappa light chain enhancer of activated B cells(NF-κB)activity.PKA and CREB are primary regulators of anti-inflammatory and immune response.Our results thus demonstrate TCDCA plays an essential anti-inflammatory role via the signaling pathway of cAMP-PKA-CREB induced by TGR5 receptor.
