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| 1 | FFT based long-code acquisition algorithm suitable for FPGA implementation显示文摘 | Liu Suxiao Feng Wenquan Xiong Huagang | 2011 | IEEE Conference Publications2011，，： | 1 |
| 2 | Magnetic nanoparticle-antibody conjugates for the separation of Escherichia coli O157:H7 in ground beef显示文摘 | Madhukar Varshney Liju Yang Li Suxiao | | 0，，9： | 1 |
| 3 | A Noise Reduction Method for Multiple Signals Combining Computed Order Tracking Based on Chirplet Path Pursuit and Distributed Compressed Sensing显示文摘With the development of multi-signal monitoring technology,the research on multiple signal analysis and processing has become a hot subject.Mechanical equipment often works under variable working conditions,and the acquired vibration signals are often non-stationary and nonlinear,which are difficult to be processed by traditional analysis methods.In order to solve the noise reduction problem of multiple signals under variable speed,a COT-DCS method combining the Computed Order Tracking(COT)based on Chirplet Path Pursuit(CPP)and Distributed Compressed Sensing(DCS)is proposed.Firstly,the instantaneous frequency(IF)is extracted by CPP,and the speed is obtained by fitting.Then,the speed is used for equal angle sampling of time-domain signals,and angle-domain signals are obtained by COT without a tachometer to eliminate the nonstationarity,and the angledomain signals are compressed and reconstructed by DCS to achieve noise reduction of multiple signals.The accuracy of the CPP method is verified by simulated,experimental signals and compared with some existing IF extraction methods.The COT method also shows good signal stabilization ability through simulation and experiment.Finally,combined with the comparative test of the other two algorithms and four noise reduction effect indicators,the COT-DCS based on the CPP method combines the advantages of the two algorithms and has better noise reduction effect and stability.It is shown that this method is an effective multi-signal noise reduction method. | Guangfei Jia Fengwei Guo Zhe Wu Suxiao Cui Jiajun Yang | 2023 | Structural Durability & Health Monitoring2023，17，5： | 0 |
| 4 | McMYB4 improves temperature adaptation by regulating phenylpropanoid metabolism and hormone signaling in apple显示文摘Temperature changes affect apple development and production.Phenylpropanoid metabolism and hormone signaling play a crucial role in regulating apple growth and development in response to temperature changes.Here,we found that McMYB4 is induced by treatment at 28℃ and 18℃,and McMYB4 overexpression results in flavonol and lignin accumulation in apple leaves.Yeast one-hybrid(Y1H)assays and electrophoretic mobility shift assays(EMSAs)further revealed that McMYB4 targets the promoters of the flavonol biosynthesis genes CHS and FLS and the lignin biosynthesis genes CAD and F5H.McMYB4 expression resulted in higher levels of flavonol and lignin biosynthesis in apple during growth at 28℃ and 18℃ than during growth at 23℃.At 28℃ and 18℃,McMYB4 also binds to the AUX/ARF and BRI/BIN promoters to activate gene expression,resulting in acceleration of the auxin and brassinolide signaling pathways.Taken together,our results demonstrate that McMYB4 promotes flavonol biosynthesis and brassinolide signaling,which decreases ROS contents to improve plant resistance and promotes lignin biosynthesis and auxin signaling to regulate plant growth.This study suggests that McMYB4 participates in the abiotic resistance and growth of apple in response to temperature changes by regulating phenylpropanoid metabolism and hormone signaling. | Suxiao Hao Yanfen Lu Zhen Peng Enying Wang Linke Chao Silin Zhong Yuncong Yao | 2021 | Horticulture Research2021，8，1： | 0 |
| 5 | Potential Action Mechanism of Baicalin on COVID-19 Based on Network Pharmacology显示文摘[Objectives]To collect the main active components and targets of baicalein,and to explore the relationship between their targets and COVID-19 and the treatment mechanism of potential unknown targets.[Methods]The 2D and 3D structures of baicalein(CAS:491-67-8)were obtained by searching Pubchem.The predicted target of baicalein was obtained through the Pharmapper website,and the species specific target was obtained by SEA search server.The COVID-19 related genes were obtained in Genecards and OMIM.The Draw Venny Diagram online program was used to establish the visualized network map of“drug-disease-target”with baicalein monomer target and disease common target and Cytoscape(3.7.2)software.The COVID-19 gene was constructed by using Cytoscape plug-in Bisogenet,and protein-protein interaction(PPI)network was constructed by using the baicalein COVID-19 gene.The CytoNCA topology was used to analyze the network topology and construct the core network.The core network genes were analyzed by GO and KEGG.[Results]Through screening,a total of 358 effective target genes of baicalein,23 common targets of baicalein-COVID-19,and 80 genes of PPI core network were obtained.The total of 1648 GO biological processes including DNA metabolism,positive regulation,intracellular receptor signaling pathway,transforming growth factorβreceptor signaling pathway,regulation of apoptotic signaling pathway,RNA polymerase II transcription factor binding,and 115 KEGG-related signaling pathways involving cell cycle pathways,viral oncogenic pathways,Hepatitis B pathway,Hepatitis C pathway,PI3K-Akt pathway,and ubiquitin-mediated proteolysis,etc.[Conclusions]The effect of baicalein on COVID-19 reflects the characteristics of multiple targets,and it can also regulate the occurrence and development of COVID-19 through various channels.This study is expected to provide a certain basis for subsequent experiments. | Kun FANG Zhengjie XU Suxiao JIANG Ping ZHANG Lijuan DUAN | 2021 | Medicinal Plant2021，12，1： | 0 |
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