Publications by authors named "Fengtong Wu"

The majority of rod-shaped and some filamentous plant viruses encode a cysteine-rich protein (CRP) that functions in viral virulence; however, the roles of these CRPs in viral infection remain largely unknown. Here, we used barley stripe mosaic virus (BSMV) as a model to investigate the essential role of its CRP in virus morphogenesis. The CRP protein γb directly interacts with BSMV coat protein (CP), the mutations either on the His-85 site in γb predicted to generate a potential CCCH motif or on the His-13 site in CP exposed to the surface of the virions abolish the zinc-binding activity and their interaction.

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Compared to time-consuming and unreliable manual analysis, intelligent fault diagnosis techniques using deep learning models can improve the accuracy of intelligent fault diagnosis with their multi-layer nonlinear mapping capabilities. This paper proposes a model to perform fault diagnosis and classification by using a time series of vibration sensor data as the input. The model encodes the raw vibration signal into a two-dimensional image and performs feature extraction and classification by a deep convolutional neural network or improved capsule network.

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To analyze the genetic characterization of epidemic rubella virus strains isolated in Liaoning from 2007-2012, a total of 145 rubella virus strains were isolated using Vero/Slam cell line from the patients' throat swabs during rubella outbreaks and sporadics cases in Liaoning Province from 2007 to 2012. Fragments of 945 nucleotides containing 1E gene from 145 rubella virus isolates were amplified by RT-PCR, the PCR products were sequenced and analyzed. Based on the 739 nucleotides of 1E gene, the phylogenetic trees were constructed with 32 WHO rubella reference strains of 13 genotypes downloaded from GenBank and 145 rubella virus strains.

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