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( Shaoxiang Luo ),( Liming Yan ),( Xiaohua Zhang ),( Li Yuan ),( Qin Fang ),( Yong An Zhang ),( Heping Dai ) 한국미생물 · 생명공학회 2015 Journal of microbiology and biotechnology Vol.25 No.12
VP7, an outer capsid protein of grass carp reovirus (GCRV), was expressed and displayed on the surface of Saccharomyces cerevisiae for developing an efficient vaccine against hemorrhagic disease of grass carp. The result of flow cytometry analysis indicated that protein VP7 could be displayed on the surface of yeast cells after inducing with galactose. The expression of VP7 was confirmed by western blot analysis and further visualized with confocal microscopy. The specific antibodies against VP7 generated from mice were detectable from all immune groups except the control group, which was immunized with untransformed yeast cells. The displaying VP7 on glycosylation-deficient strain EBYΔMnn9 was detected to induce a relatively low level of specific antibody amongst the three strains. However, the antiserum of EBYΔM9-VP7 showed relative high capacity to neutralize GCRV. Further neutralization testing assays indicated that the neutralizing ability of antiserum of the EBYΔM9-VP7 group appeared concentration dependent, and could be up to 66.7% when the antiserum was diluted to 1:50. This result indicates that appropriate gene modification of glycosylation in a yeast strain has essential effect on the immunogenicity of a yeast-based vaccine.
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Anomaly detection with vision-based deep learning for epidemic prevention and control
Samani Hooman,Yang Chan-Yun,Li Chunxu,Chung Chia-Ling,Li Shaoxiang 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.1
During the COVID-19 pandemic, people were advised to keep a social distance from others. People’s behaviors will also be noticed, such as lying down because of illness, regarded as abnormal conditions. This paper proposes a visual anomaly analysis system based on deep learning to identify individuals with various anomaly types. In the study, two types of anomaly detections are concerned. The first is monitoring the anomaly in the case of falling in an open public area. The second is measuring the social distance of people in the area to warn the individuals under a short distance. By implementing a deep model named You Only Look Once, the related anomaly can be identified accurately in a wide range of open spaces. Experimental results show that the detection accuracy of the proposed method is 91%. In the social distance, the actual social distance is calculated by calculating the plane distance to ensure that everyone can meet the specification. Integrating the two functions and implementing the environmental monitoring system will make it easier to monitor and manage the disease-related abnormalities on the site.
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Shuang Tong,Yan Zhao,Ming Zhu,Jing Wei,Shaoxiang Zhang,Shujie Li,Shengdan Sun 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.3
Slaughterhouse wastewater (SWW) is characterized as one of the most harmful agriculture and food industrial wastewaters due to its high organic content. The emissions of SWW would cause eutrophication of surface water and pollution of groundwater. This study developed a pilot scale anaerobic-aerobic slaughterhouse wastewater treatment process (AASWWTP) to enhance the chemical oxygen demand (COD) and total nitrogen (TN) removal. The optimum supernatant reflux position and ratio for TN removal were investigated through the modified Box-Behnken design (BBD) experiments. Results showed that COD could be effectively reduced over the whole modified BBD study and the removal efficiency was all higher than 98%. The optimum reflux position and ratio were suggested to be 2 alure and 100%, respectively, where effluent TN concentration was satisfied with the forthcoming Chinese discharge standard of 25 mg/L. Anaerobic digestion and ammonia oxidation were considered as the main approaches for COD and TN removal in the AASWWTP. The results of inorganic nutrients (K<SUP>+</SUP>, Na<SUP>+</SUP>, Ca<SUP>2+</SUP> and Mg<SUP>2+</SUP>) indicated that the SWW was suitable for biological treatment and the correspondingly processes such as AASWWTP should be widely researched and popularized. Therefore, AASWWTP is a promising technology for SWW treatment but more research is needed to further improve the operating efficiency.
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Shu-Jun Wei,Jing Ni,Kuanyu Zheng,Zhenguo Yang,Daoyan Xie,Aisi Da,Jianping Chai,Xiujun Jiang,Shaoxiang Li 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1
The carmine spider mite, Tetranychus cinnabarinus (Boisduval), is a serious phytophagous mite damaging importantcrops and can rapidly develop resistance to acaricides. Mitochondrial ATP synthase (F1F0 ATP synthase)is an important target site of acaricides. The role of ATP synthase in acaricide resistance remains unclear at themolecular level. In this study, twelve full-length cDNAs of ATP synthase genes were cloned and characterizedfrom T. cinnabarinus and their expression levels were determined for both progargite-resistant and susceptiblestrains. The effect of propargite exposure on gene expression was also evaluated. Analyses of gene expressionrevealed that TcATPsynU-2, TcATPsynF0-2 and TcATPsynF0-4 were significantly down-regulated in the progargite-resistant strain. TcATPsynF0-2 and TcATPsynF0-4 had a strong response to progargite exposure. Theresults suggest that lower levels of TcATPsynU-2, TcATPsynF0-2 and TcATPsynF0-4 expression might be related topropargite-resistance observed in the resistant T. cinnabarinus. This is the first attempt to identify specific ATPasegenes involved in propargite resistance in T. cinnabarinus.
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