Parallel isolation of calicivirus and reovirus from lethal co-infected mink during a potential epidemic of farmed mink infections

Mink has been identified as an animal with susceptibility to SARS-CoV-2 and also as the only animal with evidence to transmit the virus back to humans.Thus,the surveillance of viruses among high-density farmed minks has a significant meaning for the control of zoonotic emerging diseases in humans.Within anal swabs of minks that died of unknown causes in a mink farm,mink calicivirus(MCV)and mammalian orthoreovirus(MRV)were detected and simultaneously observed within MDCK cell culture from the sample of the same lethal mink.The parallel isolation was successfully performed by utilizing cell lines from different host sources with distinct viral sensitivities,i.e.Mv.1.Lu and Vero-E6 and the two viruses were independently separated.The prevalence of the virus among the minks and its genomic characteristics were investigated through deep sequencing technology.Phylogenetic analysis of the viral genome showed a close relationship of the newly isolated MCV-GCCDC8-2020 with MCV strains belonging to the genus Vesivirus,but with unique mutations derived from the major structural protein(VP1).The reovirus MRV-GCCDC9-2020 isolated from the same mink belongs to serotype 3 mammalian orthoreovirus and genome analysis showed a potential reassortment derived from reoviruses in different species.This study provides a beneficial reference on viral co-infection within disease investigation in farmed minks and raises the concern for the virus surveillance among the high-density fed animal farms.

Mobility matrix of a weakly coupled parallel multi-DIM isolator based on axial force solution

A mobility matrix modeling strategy based on axial force solution for a weakly coupled parallel multi-dimentional(multi-DIM)isolator is proposed.Mobility power flow and transmissibility through the isolator are derived from the mobility matrix.Comparison between simulation and experimental results shows the correctness of the proposed modeling strategy.

Hybrid robust fault detection and isolation of satellite reaction wheel actuators

In this paper,a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults,external disturbances,and parametric uncertainties.The proposed methodology incorporates a residual generation module,including a bank of filters,into an intelligent residual evaluation module.First,residual filters are designed based on an improved nonlinear differential algebraic approach so that they are not affected by external disturbances.The residual evaluation module is developed based on the suggested series and parallel forms.Further,a new ensemble classification scheme defined as blended learning integrates heterogeneous classifiers to enhance the performance.A wide range of simulations is carried out in a high-fidelity satellite simulator subject to the constant and time-varying actuator faults in the presence of disturbances,manoeuvres,uncertainties,and noises.The obtained results demonstrate the effectiveness of the proposed robust fault detection and isolation method compared to the traditional nonlinear differential algebraic approach.