Homeobox transcription factors participate in the growth and development of plants by regulating cell differentiation, morphogenesis and environmental signal response. To reveal the functions of these transcription fa...Homeobox transcription factors participate in the growth and development of plants by regulating cell differentiation, morphogenesis and environmental signal response. To reveal the functions of these transcription factors in rice, we constructed the RNAi vectors of OsHox9, a member of homeobox family, and analyzed the function of OsHox9 using reverse genetics. The plant height and tillering number of RNAi transgenic plants decreased compared with those of wild-type plants. Reverse transcdption-polymerase chain reaction analysis showed that OsHox9 expression reduced in the transgenic plants with phenotypic variance, whereas that in the transgenic plants without phenotypic variance was similar to that in the wild-type plants. This result suggests that the phenotypes of the transgenic plants were caused by RNAi effects. The tissue-specificity of OsHox9 expression indicated that it was expressed in different organs, with high expression in stem apical medstem and young panicles. Subcellular location of OsHox9 demonstrated that it was localized on the cell membrane.展开更多
When high-impedance faults(HIFs)occur in resonant grounded distribution networks,the current that flows is extremely weak,and the noise interference caused by the distribution network operation and the sampling error ...When high-impedance faults(HIFs)occur in resonant grounded distribution networks,the current that flows is extremely weak,and the noise interference caused by the distribution network operation and the sampling error of the measurement devices further masks the fault characteristics.Consequently,locating a fault section with high sensitivity is difficult.Unlike existing technologies,this study presents a novel fault feature identification framework that addresses this issue.The framework includes three key steps:(1)utilizing the variable mode decomposition(VMD)method to denoise the fault transient zero-sequence current(TZSC);(2)employing a manifold learning algorithm based on t-distributed stochastic neighbor embedding(t-SNE)to further reduce the redundant information of the TZSC after denoising and to visualize fault information in high-dimensional 2D space;and(3)classifying the signal of each measurement point based on the fuzzy clustering method and combining the network topology structure to determine the fault section location.Numerical simulations and field testing confirm that the proposed method accurately detects the fault location,even under the influence of strong noise interference.展开更多
交/直流试验电压下的局部放电水平是评估特高压换流变压器绝缘可靠性的关键指标之一,但因外部电磁干扰的影响而经常难以准确判定。针对这一问题,提出局部放电测量干扰的特高频(UHF)旁路监测方法,并将其应用于±800 k V换流变压器的...交/直流试验电压下的局部放电水平是评估特高压换流变压器绝缘可靠性的关键指标之一,但因外部电磁干扰的影响而经常难以准确判定。针对这一问题,提出局部放电测量干扰的特高频(UHF)旁路监测方法,并将其应用于±800 k V换流变压器的出厂试验中。结果表明,通过UHF检波脉冲的波形特征可准确识别出通讯设备和其他工业设备产生的背景干扰,进一步通过UHF检波信号的相位分布统计特征可准确识别出多种类型交、直流试验电压下包括悬浮电位放电和尖刺放电在内的放电型干扰。结果还证实了通过分析特高频天线阵列获得射频信号的时间差可快速准确地确定放电型干扰源的位置区域。基于监测结果对干扰源进行了有针对性的处理后,被试的±800 k V换流变压器顺利通过了各项局部放电测量试验。研究结果将被进一步应用于换流站现场特高压换流变压器局部放电测量干扰的排查处理。展开更多
基金supported by the National Natural Science Foundation of China (Grant NO. 31171515)the Tianjin Natural Science Foundation of China (Grant NO. 11JCZDJC17900)the Knowledge Innovation and Training Program of Tianjin, Tianjin Municipal Education Commission, China (Grant NO. 2013-1-2015 -12)
文摘Homeobox transcription factors participate in the growth and development of plants by regulating cell differentiation, morphogenesis and environmental signal response. To reveal the functions of these transcription factors in rice, we constructed the RNAi vectors of OsHox9, a member of homeobox family, and analyzed the function of OsHox9 using reverse genetics. The plant height and tillering number of RNAi transgenic plants decreased compared with those of wild-type plants. Reverse transcdption-polymerase chain reaction analysis showed that OsHox9 expression reduced in the transgenic plants with phenotypic variance, whereas that in the transgenic plants without phenotypic variance was similar to that in the wild-type plants. This result suggests that the phenotypes of the transgenic plants were caused by RNAi effects. The tissue-specificity of OsHox9 expression indicated that it was expressed in different organs, with high expression in stem apical medstem and young panicles. Subcellular location of OsHox9 demonstrated that it was localized on the cell membrane.
基金supported in part by the Science and Technology Program of State Grid Corporation of China(No.5108-202218280A-2-75-XG)the Fundamental Research Funds for the Central Universities(No.B200203129)the Postgraduate Research and Practice Innovation Program of Jiangsu Province(No.KYCX20_0432)。
文摘When high-impedance faults(HIFs)occur in resonant grounded distribution networks,the current that flows is extremely weak,and the noise interference caused by the distribution network operation and the sampling error of the measurement devices further masks the fault characteristics.Consequently,locating a fault section with high sensitivity is difficult.Unlike existing technologies,this study presents a novel fault feature identification framework that addresses this issue.The framework includes three key steps:(1)utilizing the variable mode decomposition(VMD)method to denoise the fault transient zero-sequence current(TZSC);(2)employing a manifold learning algorithm based on t-distributed stochastic neighbor embedding(t-SNE)to further reduce the redundant information of the TZSC after denoising and to visualize fault information in high-dimensional 2D space;and(3)classifying the signal of each measurement point based on the fuzzy clustering method and combining the network topology structure to determine the fault section location.Numerical simulations and field testing confirm that the proposed method accurately detects the fault location,even under the influence of strong noise interference.
文摘交/直流试验电压下的局部放电水平是评估特高压换流变压器绝缘可靠性的关键指标之一,但因外部电磁干扰的影响而经常难以准确判定。针对这一问题,提出局部放电测量干扰的特高频(UHF)旁路监测方法,并将其应用于±800 k V换流变压器的出厂试验中。结果表明,通过UHF检波脉冲的波形特征可准确识别出通讯设备和其他工业设备产生的背景干扰,进一步通过UHF检波信号的相位分布统计特征可准确识别出多种类型交、直流试验电压下包括悬浮电位放电和尖刺放电在内的放电型干扰。结果还证实了通过分析特高频天线阵列获得射频信号的时间差可快速准确地确定放电型干扰源的位置区域。基于监测结果对干扰源进行了有针对性的处理后,被试的±800 k V换流变压器顺利通过了各项局部放电测量试验。研究结果将被进一步应用于换流站现场特高压换流变压器局部放电测量干扰的排查处理。
