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- 저자 : Qinghe Liu (검색결과 5 건)
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Rong Wan,Jingran Liu,Zhengmei Yang,Panpan Zhu,Qinghe Cao,Tao Xu 한국유전학회 2020 Genes & Genomics Vol.42 No.3
Background DEAD-box protein family is the largest subfamily of RNA helicases and plays an important role in RNA metabolism and plant growth, development, and stress responses. Although DEAD-box genes have been characterized in various major crop plants, their identification and characterization in Convolvulaceae is still in infancy. Sweet potato (Ipomoea batatas, in Convolvulaceae) is the seventh most important crop in the world. Ipomoea trifida is one of the ancestors of sweet potato and is an effective resource for sweet potato cross-breeding. Objective Identification and characterisation of DEAD-box transcription factors in sweet potato wild ancestor I. trifida genome. Method A systematic genome-wide analysis was conducted to identify the DEAD-box transcription factors in the I. trifida genome. Results We identified 17 ItfDEAD-box genes which distributed unevenly on the nine chromosomes of I. trifida and encoded 29 DEAD transcripts. The phylogenetic analysis classified the DEAD-box proteins into nine groups named I–IX. Homology model prediction of ItfDEAD-box proteins obtained 14 models which lay a preliminary foundation for the further functional exploration of the ItfDEAD-box proteins. The tissue-specific and abiotic stress-responsive expression profiles of ItfDEAD-box genes were analyzed in different tissues and under abiotic stress responses by RNA-seq data and confirmed by quantitative PCR analysis. Some genes were significantly up- or down-regulated by different abiotic stress, suggesting that ItfDEAD-box plays a crucial role in stress responses in I. trifida. Conclusion The identification and gene expression of the ItfDEAD-box gene family might shed light on the function exploration of DEAD-box gene in I. trifida and promote the molecular breeding of sweet potato.
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Song Renjie,Zhang Qinghe,Liu Haiyang,Yang Shuo,Wang Zhaohui,Bao Zhen 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.11
Swing door trending (SDT) algorithm is a lossy compression algorithm that be applied on the real-time database and proposed by OSI software company of American; SDT is widely used to compress process data generated by process industry. Using straight line for a data section to linear fitting in traditional SDT algorithm. However, the data generated in the process of industrial production are slightly fluctuating with time. So, the use of linear fitting will lead to a large decompression error. In order to overcome the large decompression error generated by the traditional SDT, we proposed Controllable Curve Fitting Based Swing Door Trending (CCFSDT). The CCFSDT algorithm uses curve line for a data section to fitting, the data restored are closer to the true value. And in order to reduce the cost of curve fitting, it can be appropriate to reduce the total number of points of curve fitting. We filter noise point before fitting to void the impact on the reduction data and achieve better compression effect. The experimental results on simulated data and actual plant data show that: under the same conditions, the CCFSDT can well reduce the errors of decompression and achieve satisfactory performance.
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Overexpression of IbMPK3 increases low-temperature tolerance in transgenic sweetpotato
Jin Rong,Kim Ho Soo,Yu Tao,Liu Ming,Yu Wenhui,Zhao Peng,Zhang Aijun,Zhang Qiangqiang,Liu Yaju,Cao Qinghe,Kwak Sang-Soo,Tang Zhonghou 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.1
Sweetpotato is an important crop that is very sensitive to low temperatures. Mitogen-activated protein kinase (MAPK) is involved in plant growth and development and is responsive to many environmental stresses. IbMPK3 is strongly regulated by low-temperature stress. We studied the function of IbMPK3 and how it may enhance the adaptability of sweetpotato plants to low-temperature stress. Transgenic sweetpotato plants overexpressing IbMPK3 were generated, and three trans- genic lines with the highest expression level of IbMPK3 were used for low-temperature tests. Transgenic plants exposed to low-temperature stress had less damage associated with higher photosynthesis efficiency and less cell membrane damage. IbMPK3-overexpressing transgenic plants could modulate reactive oxygen species (ROS) metabolism with lower levels of O2− and H2O2 accumulation and higher enzymatic activities than WT plants. Transcript expression levels of some ROS- related genes (IbCAT, IbCu-ZnSOD, and IbCAT) and stress-responsive genes (IbP3B and IbCOR27) were significantly upregulated in transgenic plants compared to WT. These results indicate that IbMPK3 has an important role in sweetpotato response to low temperatures.
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Liguo Wang,Yi Wang,Dianguo Xu,Bo Fang,Qinghe Liu,Jing Zou 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50㎿ turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.
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Wang, Liguo,Wang, Yi,Xu, Dianguo,Fang, Bo,Liu, Qinghe,Zou, Jing The Korean Institute of Power Electronics 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50MW turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.
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