| 1 | Long noncoding RNA UC.98 stabilizes atherosclerotic plaques by promoting the proliferation and adhesive capacity in murine aortic endothelial cells显示文摘Pathological studies have shown that the vulnerability of plaques affects outcomes in patients with atherosclerosis(AS),a chronic inflammatory disease and common cause of morbidity and mortality worldwide.Although emerging technologies have enabled early diagnosis of AS with high-risk vulnerable plaques,more accurate and noninvasive diagnostic methods are urgently required.To this end,molecules involved in genetic or epigenetic regulation of the vulnerability of atherosclerotic plaques have been extensively studied.Here,we evaluated long noncoding RNA(IncRNA)variability by microarray assay in murine aortic endothelial cells(MAECs)bearing wulnerable plaques and identified the novel functional IncRNA UC.98,whose expression pattern was associated with the vulnerability of atherosclerotic plaques.Consisient with this,clinical statistics comparing the peripheral blood specimens from sets of patients with AS with or without vulnerable plaques confirmed the linear relationship between the expression pattern of UC.98 and plaque instabilty.Moreover,MTT assays and western blot analysis showed that silencing of intrinsic UC 98 in MAECs not only suppressed cell proliferation but also decreased the expressions of vascular cell adhesion molecule-1 and intercellular adhesion molecule-1,thereby inactivating the nuclear factorkB pathway.In conclusion,our results highlighted the pivotal role of UC.98 in regulating the vulnerability of plaques during AS progression and suggested that UC.98 may be a biomarker of the early diagnosis and prognosis of AS with vulnerable plaques and a potential therapeutic target for slowing AS progression. | Zixu Fan Ying Zhang Danrui Xiao Jianwei Ma Hua Liu Linghong Shen Min Zhang Ben He | 2020 | Acta Biochimica et Biophysica Sinica2020，52，2： | 3 |
| 2 | Classification of partial discharge severities of ceramic insulators based on texture analysis of UV pulses显示文摘Inspection of partial discharge before contamination flashover is of great importance for preventing exterior insulation accidents.In this study,a new method for identification of discharge severities is proposed.Specifically,a low‐cost ultraviolet(UV)sensor detection system was combined with time-frequency method,texture analysis and support vector machine(SVM)classifier to classify partial discharge severities for ceramic insulators.The visible images and the root‐mean‐square value of leakage currents detected simulta-neously are used to classify the UV signals into different discharge faults.The frequency and amplitude integration of UV pulses are minimum in corona discharge and larger in arc discharge.The images of UV signal spectrograms differ significantly at different discharge stages.The density and brightness of image textures are minimal in corona discharge and larger in arc discharge.Valid and reliable features selected by two texture feature extraction methods with SVM classifier have a reliable classification accuracy of 90.6%for ceramic insulators,and outperform a single time feature or other texture features.SVM outperforms k‐Nearest Neighbour,Naive Bayes and Decision Tree.Our new method with computational effectiveness and high practicality can solve the problem of high randomness and low accuracy of UV sensor detection.It can be further applied to the deterioration diagnosis of power facilities. | Danrui Ma Lijun Jin Jianming He Kai Gao | 2021 | High Voltage2021，6，6： | 2 |
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