An artificial neural network(ANN)method is introduced to predict drop size in two kinds of pulsed columns with small-scale data sets.After training,the deviation between calculate and experimental results are 3.8%and ...An artificial neural network(ANN)method is introduced to predict drop size in two kinds of pulsed columns with small-scale data sets.After training,the deviation between calculate and experimental results are 3.8%and 9.3%,respectively.Through ANN model,the influence of interfacial tension and pulsation intensity on the droplet diameter has been developed.Droplet size gradually increases with the increase of interfacial tension,and decreases with the increase of pulse intensity.It can be seen that the accuracy of ANN model in predicting droplet size outside the training set range is reach the same level as the accuracy of correlation obtained based on experiments within this range.For two kinds of columns,the drop size prediction deviations of ANN model are 9.6%and 18.5%and the deviations in correlations are 11%and 15%.展开更多
目的探讨老年自身免疫性肝炎(AIH)患者的临床特征及自身抗体水平。方法回顾性分析2013年1月至2018年1月期间首都医科大学附属北京佑安医院肝病免疫科收治的112例AIH患者的临床资料,按年龄分为老年组(≥60岁,33例)和中青年组(<60岁,79...目的探讨老年自身免疫性肝炎(AIH)患者的临床特征及自身抗体水平。方法回顾性分析2013年1月至2018年1月期间首都医科大学附属北京佑安医院肝病免疫科收治的112例AIH患者的临床资料,按年龄分为老年组(≥60岁,33例)和中青年组(<60岁,79例)。统计分析2组患者临床资料、生化指标和自身抗体指标。采用SPSS 16.0软件进行数据处理,根据数据类型,组间比较分别采用t检验、Mann-Whitney检验或χ~2检验。结果老年组患者乏力(54.5%vs78.5%)和恶心呕吐(18.2%vs 39.2%)症状患者显著少于中青年组,肝硬化(36.4%vs 17.7%)及合并肝外自身免疫病(33.3%vs 16.5%)患者显著多于中青年组,老年患者血小板计数[(155.2±76.1)×109/L vs (186.2±77.2)×109/L]显著低于中青年组,血尿素氮[(5.1±1.6) vs (4.4±1.3)mmol/L]及血肌酐[(62.1±16.2) vs (57.5±15.1)μmol/L]浓度显著高于中青年组,差异均有统计学意义(P<0.05)。老年组抗核抗体阳性率高于中青年组(87.9%vs 79.7%),但差异无统计学意义(P>0.05)。结论老年组AIH患者合并肝硬化、肝外免疫病的比例高,肾功能降低,年龄相关的免疫功能紊乱可能影响患者的临床表现。展开更多
基金the support of the National Natural Science Foundation of China(22278234,21776151)。
文摘An artificial neural network(ANN)method is introduced to predict drop size in two kinds of pulsed columns with small-scale data sets.After training,the deviation between calculate and experimental results are 3.8%and 9.3%,respectively.Through ANN model,the influence of interfacial tension and pulsation intensity on the droplet diameter has been developed.Droplet size gradually increases with the increase of interfacial tension,and decreases with the increase of pulse intensity.It can be seen that the accuracy of ANN model in predicting droplet size outside the training set range is reach the same level as the accuracy of correlation obtained based on experiments within this range.For two kinds of columns,the drop size prediction deviations of ANN model are 9.6%and 18.5%and the deviations in correlations are 11%and 15%.
文摘目的探讨老年自身免疫性肝炎(AIH)患者的临床特征及自身抗体水平。方法回顾性分析2013年1月至2018年1月期间首都医科大学附属北京佑安医院肝病免疫科收治的112例AIH患者的临床资料,按年龄分为老年组(≥60岁,33例)和中青年组(<60岁,79例)。统计分析2组患者临床资料、生化指标和自身抗体指标。采用SPSS 16.0软件进行数据处理,根据数据类型,组间比较分别采用t检验、Mann-Whitney检验或χ~2检验。结果老年组患者乏力(54.5%vs78.5%)和恶心呕吐(18.2%vs 39.2%)症状患者显著少于中青年组,肝硬化(36.4%vs 17.7%)及合并肝外自身免疫病(33.3%vs 16.5%)患者显著多于中青年组,老年患者血小板计数[(155.2±76.1)×109/L vs (186.2±77.2)×109/L]显著低于中青年组,血尿素氮[(5.1±1.6) vs (4.4±1.3)mmol/L]及血肌酐[(62.1±16.2) vs (57.5±15.1)μmol/L]浓度显著高于中青年组,差异均有统计学意义(P<0.05)。老年组抗核抗体阳性率高于中青年组(87.9%vs 79.7%),但差异无统计学意义(P>0.05)。结论老年组AIH患者合并肝硬化、肝外免疫病的比例高,肾功能降低,年龄相关的免疫功能紊乱可能影响患者的临床表现。
