The Undorsum group has been looked upon as a famous mute zone in the region along the Jining-Erenhot railway, central Nei Menggol Autonomous Region forming an EW trending zone 700 km long and 100 km wide as a series o...The Undorsum group has been looked upon as a famous mute zone in the region along the Jining-Erenhot railway, central Nei Menggol Autonomous Region forming an EW trending zone 700 km long and 100 km wide as a series of epimetamorphic rock of marine volcanic facies, this group is divided into the north and south belts.展开更多
We have studied the effects of antitumor drugs, thioproline （THIPRO）, cytosine （CYTO）, actinomycin （ACTI） and 5-fluorine-2’-deoxyuridine （5-F-U）, on the membrane fluidity of normal lung cell V79 and cancer lu...We have studied the effects of antitumor drugs, thioproline （THIPRO）, cytosine （CYTO）, actinomycin （ACTI） and 5-fluorine-2’-deoxyuridine （5-F-U）, on the membrane fluidity of normal lung cell V79 and cancer lung cell V79-B1 of the Chinese ham-展开更多
Internal air gap is a serious type of defect in the insulation equipment,which threatens the safe operation of the power grid.In order to diagnose the position and thickness of the internal air gap,this paper proposes...Internal air gap is a serious type of defect in the insulation equipment,which threatens the safe operation of the power grid.In order to diagnose the position and thickness of the internal air gap,this paper proposes a terahertz wave detection method based on wavelet analysis and a CNN(convolution neural network)model.According to the time-frequency characteristics of the wavelet cluster,the calculation method of air gap depth is proposed.To determine the thickness of the internal air gap,the performances of several classification methods,such as waveform feature analysis,Bayes,MLP(Multi-layer Perceptron),SVM(Support Vector Machine)and CNN are compared.The results show that the CNN modified by a residual shrinkage network and SVM(CNN-RSN-SVM)has the best performance.By adjusting the parameters,the classification accuracy of the CNN-RSN-SVM model can be elevated to 98.91%.Furthermore,the 3D imaging method of air gap defect based on wavelet analysis and CNNRSN-SVM classification model is formed.展开更多
文摘目的利用网络药理学方法及分子对接的方法预测追风透骨胶囊治疗类风湿关节炎(rheumatoid arthritis,RA)及骨关节炎(osteoarthritis,OA)的活性成分、作用靶点及相关生物学途径,丰富其异病同治的科学内涵。方法利用TCMSP、BATMAN-TCM数据库筛选出追风透骨胶囊的活性成分及治疗RA及OA的对应靶点,采用Cytoscape 3.7.0软件构建"药物-化合物-共有靶标"网络图,运用STRING平台构建靶蛋白相互作用(protein-protein interaction,PPI)网络,运用R语言数据包进行基因本体功能富集(gene ontology,GO)与京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomics,KEGG)富集分析,预测其作用机制,最后对追风透骨胶囊中的关键活性化合物与PPI中的核心蛋白进行分子对接验证。结果追风透骨胶囊共筛选有效活性成分276种,涉及共同靶标207个。"药物-化合物-共有靶标"网络图中筛选出关键活性化合物12个,其干预的PPI网络主要涉及STAT3、AKT1、APP等核心蛋白,共有靶标的GO及KEGG富集分析结果主要涉及代谢、炎性反应、肿瘤等相关通路及多种生物学途径。分子对接验证提示β-谷甾醇与核心靶蛋白结合情况最佳,HSP90AA1是追风透骨胶囊中关键化学成分结合活性最优的靶蛋白。结论追风透骨胶囊中槲皮素、木犀草素、山奈酚等12种关键有效活性成分作用于STAT3、AKT1、APP等12种核心靶蛋白发挥干预OA、RA的药理作用并涉及多种生物学途径,阐释了追风透骨胶囊对OA以及RA异病同治的分子基础。
文摘The Undorsum group has been looked upon as a famous mute zone in the region along the Jining-Erenhot railway, central Nei Menggol Autonomous Region forming an EW trending zone 700 km long and 100 km wide as a series of epimetamorphic rock of marine volcanic facies, this group is divided into the north and south belts.
文摘We have studied the effects of antitumor drugs, thioproline （THIPRO）, cytosine （CYTO）, actinomycin （ACTI） and 5-fluorine-2’-deoxyuridine （5-F-U）, on the membrane fluidity of normal lung cell V79 and cancer lung cell V79-B1 of the Chinese ham-
基金supported by the National Key R&D Program of China:Research and application of work robot system for electric power industry(2018YFB1307400)the Science and Technology Project of State Grid Corporation of China(No:SGSDDK00KJJS2000090)the self-funded project of China Electric Power Research Institute:Research on detection and recognition of photovoltaic panels and health status evaluation technology based on deep learning.
文摘Internal air gap is a serious type of defect in the insulation equipment,which threatens the safe operation of the power grid.In order to diagnose the position and thickness of the internal air gap,this paper proposes a terahertz wave detection method based on wavelet analysis and a CNN(convolution neural network)model.According to the time-frequency characteristics of the wavelet cluster,the calculation method of air gap depth is proposed.To determine the thickness of the internal air gap,the performances of several classification methods,such as waveform feature analysis,Bayes,MLP(Multi-layer Perceptron),SVM(Support Vector Machine)and CNN are compared.The results show that the CNN modified by a residual shrinkage network and SVM(CNN-RSN-SVM)has the best performance.By adjusting the parameters,the classification accuracy of the CNN-RSN-SVM model can be elevated to 98.91%.Furthermore,the 3D imaging method of air gap defect based on wavelet analysis and CNNRSN-SVM classification model is formed.
