Application of Principle Component Analysis and Logistic Regression in Analyzing miRNA Markers of Brain Arteriovenous Malformation

Brain arteriovenous malformation（BAVM） is frequently described as vascular malformation. Although computer tomography（CT）, magnetic resonance imaging（MRI） and angiography can clearly detect lesions, there are no diagnostic biological markers of BAVM available. Current study demonstrated that micro RNA（mi RNA）showed a feasible marker for vascular disease. To find key correlations between these mi RNAs and the onset of BAVM, we carried out chip analysis of serum mi RNAs by identifying 18 potential markers of BAVM. We then constructed a principle component analysis and logistic regression（PCA-LR） model to analyze the 18 mi RNAs collected from 77 patients. Another 9 independent samples were used to test the resulting model. The results showed that mi RNAs hsa-mir-126-3p and hsa-mir-140 are important protective factors, while hsa-mir-338 is a dominating risk factor, all of which have stronger correlation with BAVM than others. We also compared the testing results using PCA-LR model with those using LR model. The comparison revealed that PCA-LR model is better in predicting the disease.     

杨坞口隧道塌方综合处理措施

杨坞口隧道位于杭新景高速公路千岛湖支线古滑坡段,受围岩破碎和雨季渗水影响,施工中出现了右洞塌方。经采用动态设计法,应用喷射混凝土封闭地表雨水下渗通道,地表注浆加固地层等措施进行塌方治理和山体加固;采取超前小导管和环向小导管注浆加固围岩,强化临时支护,及时封闭衬砌等措施,并采取双侧壁导坑法进行隧道施工,取得了良好效果。现场监测数据表明该治理方案合理且行之有效,治理措施可供相关工程借鉴和参考。