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| 1 | Analysis of Total Antimony in Fresh Fruit and Pollution Evaluation in Hunan Province显示文摘[Objective]The content of total antimony(Sb) in fresh fruit was investigated and its pollution was evaluated,to provide the basic data for diet exposure evaluation.[Method]The content of total Sb in 194 samples was detected by hydride generation-atomic fluorescence spectrometry(HG-AFS),and the Sb pollution in several fruits was evaluated by the method of single factor pollution index. [Result]The mean of total Sb was 0.005 6 mg / kg,and the median was 0.003 8mg / kg. The minimum value was not detected while the maximum value was 0.21 mg / kg,and the confidence interval was ND-0.019 mg / kg(P5-P95). The medians of total Sb content in different fruits successively were dragon fruit(0.011 0 mg / kg) > kiwi fruit(0.008 0 mg / kg) > peach(0.006 0 mg / kg). According to the method of single factor pollution index,the index from all samples was less than 0.2,suggesting that the samples involved were under the normal background value.[Conclusion]The Sb was detected in all samples but under the background value,and it was concluded that there was no Sb pollution in fresh fruit in Hunan Province. | Tan Xiangwu Huang Huxin Xiao Shenglan Ma Jinhui Xiao Fuyuan Peng Wei Huang Yan | 2016 | Plant Diseases and Pests2016，7，4： | 2 |
| 2 | Spatial and Temporal Distribution of Total Antimony Content in Fresh Vegetables in Hunan Province显示文摘[Objective] The purpose of this paper is paper was to master the spatial and temporal distribution of total antimony content in fresh vegetables in Hunan Province. [Method] Fresh vegetable samples were collected in 14 areas of Hunan Province and Xikuangshan Street. The content of antimony was detected by Hydride Generation-atomic fluorescence spectrometry. The spatial and temporal distribution of total antimony in fresh vegetables in different areas and seasons were compared. [Result] In 703 vegetable samples,the reference range( P5-P95) of total antimony content was ND-0. 25mg/kg,and the median was 0. 018 mg/kg;and the median of total antimony content in Xiangtan City and Xikuangshan Street were 0. 046 and 0. 041 mg/kg respectively,significantly higher than those in other areas. The differences among groups were statistically significant( P < 0. 05). The reference range of total antimony content in spring samples was ND-0. 24 mg/kg,and the median was 0. 023mg/kg; the reference range of total antimony in autumn samples was ND-0. 088mg/kg,and the median was0. 007 4 mg/kg. [Conclusion] The reference range of total antimony content in Hunan Province is ND-0. 25mg/kg,and the median is 0. 018 mg/kg. The content of total antimony content in Xiangtan City and Xikiangshan Street is higher. And the total antimony content in spring samples are higher than those in autumn samples. | Tan Xiangwu Huang Huxin Ma Jinhui Xiao Fuyuan Peng Wei Xiao Shenglan | 2017 | Plant Diseases and Pests2017，8，4： | 0 |
| 3 | Avian influenza viruses suppress innate immunity by inducingtrans-transcriptional readthrough via SSU72显示文摘Innate immunity plays critical antiviral roles. The highly virulent avian influenza viruses (AIVs) H5N1, H7N9, and H5N6 can betterescape host innate immune responses than the less virulent seasonal H1N1 virus. Here, we report a mechanism by whichtranscriptional readthrough (TRT)-mediated suppression of innate immunity occurs post AIV infection. By using cell lines, mouselungs, and patient PBMCs, we showed that genes on the complementary strand (“trans” genes) influenced by TRT were involved inthe disruption of host antiviral responses during AIV infection. The trans-TRT enhanced viral lethality, and TRT abolishmentincreased cell viability and STAT1/2 expression. The viral NS1 protein directly bound to SSU72, and degradation of SSU72 inducedTRT. SSU72 overexpression reduced TRT and alleviated mouse lung injury. Our results suggest that AIVs infection induce TRT byreducing SSU72 expression, thereby impairing host immune responses, a molecular mechanism acting through the NS1-SSU72-trans-TRT-STAT1/2 axis. Thus, restoration of SSU72 expression might be a potential strategy for preventing AIV pandemics. | Yan Zhao Fengming Huang Zhen Zou Yuhai Bi Yang Yang Cong Zhang Qiang Liu Daozhen Shang Yiwu Yan Xiangwu Ju Song Mei Peng Xie Xiao Li Mingyao Tian Shuguang Tan Huijun Lu Zongsheng Han Kangtai Liu Yuqing Zhang Junbo Liang Zhu Liang Qingchao Zhang Jiahui Chang William JLiu Cong Feng Tanshi Li Michael Q.Zhang Xiaoyue Wang George FGao Yingxia Liu Ningyi Jin Chengyu Jiang | 2022 | Cellular & Molecular Immunology2022，19，6： | 0 |
| 4 | Comparison of roller-spreading and blade-spreading processes in powder-bed additive manufacturing by DEM simulations显示文摘The roller-spreading and blade-spreading are main powder spreading methods in powder-bed additive manufacturing.The discrete element method was introduced to simulate nylon powder spreading by both roller and blade spreaders.The two spreading processes were compared from several aspects including particle flow behavior,particle contact forces,forces exerted on spreaders,particle segregation and powder layer density.It is found that powder spreading methods mainly affect the movement trajectory of particles,particle contact forces and forces exerted on spreaders.Complicated dispersion and circulation movement of particles occur inside the powder pile by roller-spreading,while particles have relatively weak dispersion by the blade-spreading.The normal force applied to the roller introduces a compacting effect on the powder pile and creates strong force chains that distribute uniformly in the powder pile.Therefore,the powder bed with higher density can be obtained by roller-spreading in thicker powder layer due to the compacting effect.The blade spreader sustains tangential force mainly,so the blade-spreading process limits its application to thicker powder layer.As the powder layer thickness increases,the roller-spreading is more sensitive to segregation index than that of the blade-spreading.The comprehensive comparison of two spreading processes provides criteria for selecting spreading methods. | Jiangtao Zhang Yuanqiang Tan Xiangwu Xiao Shengqiang Jiang | 2022 | Particuology2022，20，7： | 0 |
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