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        A transcriptional atlas of the silk gland in Antheraea pernyi revealed by IsoSeq

        Duan Jianping,Li Shanshan,Zhang Zhengtian,Yao Lunguang,Yang Xinfeng,Ma Sanyuan,Duan Nini,Wang Jiazhen,Zhu Xuwei,Zhao Ping 한국응용곤충학회 2023 Journal of Asia-Pacific Entomology Vol.26 No.2

        Silk fibers spun by the silk gland of Antheraea pernyi have many unique properties and are of great value in genetic improvement and non-traditional applications. However, the complete transcriptional landscape and accurate genic annotation of the silk gland are yet to be conducted, which limits related studies on this organ. In this study, isoform sequencing revealed the full-length transcriptome of the A. pernyi silk gland, producing 12,572 high-confidence isoforms from 7,658 genes, among which more than 40 % of genes have not yet been annotated in the reference genome. Moreover, approximately 9 % of isoforms are computationally identified as long non-coding RNAs (lncRNAs). Up to 1,492 alternative splicing (AS) and 3,068 alternative polyadenylation (APA) events were revealed within this transcriptome. In addition, 2,569 putative transcription factors (TFs) belonging to 68 different families were first identified in A. pernyi genome, including 871 TFs in silk gland, and some TF families have undergone expansion or contraction. This study significantly improve our knowledge of the genes expressed in the silk gland of A. pernyi and provide a valuable resource for the in-depth study of silk protein synthesis and spinning, genetic improvement, and non-traditional applications in A. pernyi.

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        Fast Supplementary Voltage Control Strategy to Mitigate Catastrophic Trip-off Risk of Wind Turbines

        Yin Lifu,Liu Yongcheng,Wang Zhuxiu,Xu Ang,Li Zhengtian,Lin Xiangning,Feng Zhongnan,Zhuo Yixin 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6

        There exists such a risk that Magnetic Control Reactor (MCR) type Static Var Compensator (SVC), which is widely used in wind farms, still outputs excessive reactive power after fault removal in the wind farm due to the slow regulating speed of MCR, leading to catastrophic trip-off problem of wind turbine. For the purpose of overcoming the shortage of MCR-type SVC on regulating speed and eff ectively controlling the transient over-voltage level of wind farm due to fault removal, an novel fast supplementary voltage control strategy for MCR-type SVC based on decision tree algorithm is proposed. The over-voltage level and trip-off risk of each wind turbine after fault removal is predicted by the proposed dynamic voltage security decision tree system. According to the predictions, appropriate capacitor banks are shed to lower the risk of wind turbine trip-off due to overvoltage, resulting from reactive power over-compensation. It can be proven with case studies that the proposed strategy is capable of reducing the risk of over-voltage in wind farms, accompanied by the excellent computational effi ciency.

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