To explore the relationship between the expression of E-cadherin and the apoptosis in intrahepatic bile duct epithelial cells in biliary atresia (BA).Methods The E-cadherin expression was demonstrated by immunohistoch...To explore the relationship between the expression of E-cadherin and the apoptosis in intrahepatic bile duct epithelial cells in biliary atresia (BA).Methods The E-cadherin expression was demonstrated by immunohistochemical staining for the liver specimens from 38 children with BA and 16 normal children.The apoptotic intrahepatic bile duct epithelial cells in these specimens were visualized by TdT-mediated dUTP-digoxigenin nick end labeling (TUNEL) assay,and the apoptotic index (AI) was calculated from the percentage of apoptotic cells in total cells.Results The intensity of E-cadherin expression in bile duct epithelial cells in BA group was lower than that in the normal control group (0.33±0.12 vs 0.62±0.20,P<0.01).On the other hand,the AI in BA group was significant higher than that in control group (51.74±19.93 vs 12.34±19.32,P<0.01).An inverse correlation was detected between the intensity of E-cadherin and the AI in the liver from children with BA.Conclusion The abnormal decrease of E-cadherin may lead to an increase of the apoptosis of intrahepatic bile epithelial cells in BA,resulting in developmental disorder of intrahepatic bile duct and ductal plate malformation in the liver.12 refs,4 figs,1 tab.展开更多
Root cause analysis （RCA） of abnormal aluminum electrolysis cell condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledge. In addition, accur...Root cause analysis （RCA） of abnormal aluminum electrolysis cell condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledge. In addition, accurate RCA of abnormal aluminum electrolysis cell condition is the precondition of improving current efficiency. RCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensure the RCA accuracy of abnormal cell condition because of dwindling and frequent flow of experienced technicians. In view of this, a method based on Fuzzy- Bayesian network to construct multi-source knowledge solidification reasoning model is proposed. The method can effectively fuse and solidify the knowledge, which is used to analyze the cause of abnormal condition by technicians providing a clear and intuitive framework to this complex task, and also achieve the result of root cause automatically. The proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause analysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoning. The accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for RCA of aluminum electrolysis cell.展开更多
文摘To explore the relationship between the expression of E-cadherin and the apoptosis in intrahepatic bile duct epithelial cells in biliary atresia (BA).Methods The E-cadherin expression was demonstrated by immunohistochemical staining for the liver specimens from 38 children with BA and 16 normal children.The apoptotic intrahepatic bile duct epithelial cells in these specimens were visualized by TdT-mediated dUTP-digoxigenin nick end labeling (TUNEL) assay,and the apoptotic index (AI) was calculated from the percentage of apoptotic cells in total cells.Results The intensity of E-cadherin expression in bile duct epithelial cells in BA group was lower than that in the normal control group (0.33±0.12 vs 0.62±0.20,P<0.01).On the other hand,the AI in BA group was significant higher than that in control group (51.74±19.93 vs 12.34±19.32,P<0.01).An inverse correlation was detected between the intensity of E-cadherin and the AI in the liver from children with BA.Conclusion The abnormal decrease of E-cadherin may lead to an increase of the apoptosis of intrahepatic bile epithelial cells in BA,resulting in developmental disorder of intrahepatic bile duct and ductal plate malformation in the liver.12 refs,4 figs,1 tab.
文摘Root cause analysis （RCA） of abnormal aluminum electrolysis cell condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledge. In addition, accurate RCA of abnormal aluminum electrolysis cell condition is the precondition of improving current efficiency. RCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensure the RCA accuracy of abnormal cell condition because of dwindling and frequent flow of experienced technicians. In view of this, a method based on Fuzzy- Bayesian network to construct multi-source knowledge solidification reasoning model is proposed. The method can effectively fuse and solidify the knowledge, which is used to analyze the cause of abnormal condition by technicians providing a clear and intuitive framework to this complex task, and also achieve the result of root cause automatically. The proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause analysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoning. The accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for RCA of aluminum electrolysis cell.
