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Fang Xu Wang-lin Li Zhan-lei Liu Bo-fan Zhang Bing-yu Zhang 《Geotextiles and Geomembranes》2017,45(3):178-183
In studies on the geomembrane air expansion in plain reservoirs, the forced deformation of a geomembrane is generally simplified as geomembrane air expansion deformation under ring-restrained conditions. In this study, a test apparatus was developed to measure geomembrane air expansion deformation, and a number of factors that can affect geomembrane air expansion deformation were investigated, including the test apparatus diameter, loading rate, and geomembrane defects. The results of this study show that under ring-restrained conditions, as the test apparatus diameter increases, the burst pressure decreases, and the burst crown height increases. Moreover, the burst pressure and the burst crown height gradually increase as the loading rate increases. Geomembrane defects, such as holes, folds, and scratches, decrease both the burst pressure and the burst crown height. 相似文献
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Runtao Yang Chengjin Zhang Rui Gao Lina Zhang 《International journal of molecular sciences》2016,17(2)
The Golgi Apparatus (GA) is a major collection and dispatch station for numerous proteins destined for secretion, plasma membranes and lysosomes. The dysfunction of GA proteins can result in neurodegenerative diseases. Therefore, accurate identification of protein subGolgi localizations may assist in drug development and understanding the mechanisms of the GA involved in various cellular processes. In this paper, a new computational method is proposed for identifying cis-Golgi proteins from trans-Golgi proteins. Based on the concept of Common Spatial Patterns (CSP), a novel feature extraction technique is developed to extract evolutionary information from protein sequences. To deal with the imbalanced benchmark dataset, the Synthetic Minority Over-sampling Technique (SMOTE) is adopted. A feature selection method called Random Forest-Recursive Feature Elimination (RF-RFE) is employed to search the optimal features from the CSP based features and g-gap dipeptide composition. Based on the optimal features, a Random Forest (RF) module is used to distinguish cis-Golgi proteins from trans-Golgi proteins. Through the jackknife cross-validation, the proposed method achieves a promising performance with a sensitivity of 0.889, a specificity of 0.880, an accuracy of 0.885, and a Matthew’s Correlation Coefficient (MCC) of 0.765, which remarkably outperforms previous methods. Moreover, when tested on a common independent dataset, our method also achieves a significantly improved performance. These results highlight the promising performance of the proposed method to identify Golgi-resident protein types. Furthermore, the CSP based feature extraction method may provide guidelines for protein function predictions. 相似文献
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复杂电感电路在不同频率特性下本质安全性研究的技术实现 总被引:2,自引:0,他引:2
为了探讨不同频率特性下复杂电感电路的本质安全性,利用信号发生器产生不同频率的信号,经功率放大、调压后,作为实验电路的电源,设计出新的实验电路。该电路是研究不同频率特性下复杂电感电路本质安全性的技术基础。 相似文献
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