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氯霉素及其产物降解菌群在长期驯化过程中的微生物群落和关键基因演替模式
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作者 Jiayu Zhang kaiyan zhou +5 位作者 Fangliang Guo Huaxin Lei Renxin Zhao Lin Lin Xiaoyan Li Bing Li 《Engineering》 SCIE EI CAS CSCD 2023年第12期59-69,共11页
As a widespread emerging contaminant,chloramphenicol(CAP)adversely impacts ecological communities in the water environment.Biological treatment is widely used for aquatic pollutant removal,and the performance of funct... As a widespread emerging contaminant,chloramphenicol(CAP)adversely impacts ecological communities in the water environment.Biological treatment is widely used for aquatic pollutant removal,and the performance of functional microbes determines its outcome.Herein,a consortium with a powerful CAPdegrading capacity was domesticated from activated sludge.As the common degradation products of CAP,4-nitrobenzoic acid(PNB)and 2,2-dichloroacetic acid(DCA)were also used as the sole substrates for long-term domestication.The successional pattern of the microbial community and critical functional genes through the 2.5-year domestication was revealed by metagenomic analysis.Sphingomonas,Caballeronia,and Cupriavidus became the most dominant populations in the CAP-,PNB-,and DCAdegrading consortia,respectively,and they were crucial degraders of PNB and DCA.Their collaboration contributed to the high mineralization rate of CAP.PNB was transformed into protocatechuic acid(PCA)and then mineralized through meta-cleavage and ortho-cleavage pathways.Crucial functional genes involved in CAP,PNB,and DCA metabolism,including CAP acetyltransferase,CAP oxidoreductase,haloacid dehalogenases,and protocatechuate dioxygenases,were significantly enriched in consortia.p H and carbon source had significant impacts on CAP biodegradation efficiency.The domesticated consortia and isolated strains are necessary microbial resources to enhance the bioremediation of CAP-,PNB-,or DCA-polluted environments. 展开更多
关键词 Antibiotic BIODEGRADATION Metabolism Microbial community SUCCESSION METAGENOME
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Human Body Pose Recognition System Based on Teaching Interaction
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作者 kaiyan zhou Yanqing Wang Yongquan Li 《国际计算机前沿大会会议论文集》 2021年第1期393-405,共13页
In view of the problems of the high time cost and low accuracy ofmanual supervision in traditional classroom teaching, this paper proposes a humanbody pose recognition system based on teaching interaction. The enhance... In view of the problems of the high time cost and low accuracy ofmanual supervision in traditional classroom teaching, this paper proposes a humanbody pose recognition system based on teaching interaction. The enhanced basicnetwork (ResNext-101+FPN)was used in Mask R-CNN to extract the features ofthe input images. Then based on the behavior analysis algorithm and face detectiondata, the behavior data of each student in the classroom were obtained. Moreover,the behavior data were applied to support multi-dimensional visualization. Theexperimental results show that the system can timely and effectively reflect thelearning status of students, and help teachers accurately grasp the classroom learningstate of students, so as to adjust teaching strategies in a targeted way and helpimprove the quality of teaching. 展开更多
关键词 Deep learning Mask R-CNN Body pose recognition Face recognition Visual presentation
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