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Characterization and complete genome sequence of vB_EcoP-Bp4,a novel polyvalent N4-like bacteriophage that infects chicken pathogenic Escherichia coli 被引量:7
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作者 Can Zhang Yanxiang Ma +3 位作者 Ting Wang Huzhi Sun Guomin Lu Huiying Ren 《Virologica Sinica》 SCIE CAS CSCD 2016年第4期353-356,共4页
Pathogenic Escherichia coli cause chicken colibacillosis, which is economically devastating to the poultry in- dustry worldwide (Bagheri et al., 2014). Owing to in- creasing antibiotic resistance, phage therapy reag... Pathogenic Escherichia coli cause chicken colibacillosis, which is economically devastating to the poultry in- dustry worldwide (Bagheri et al., 2014). Owing to in- creasing antibiotic resistance, phage therapy reagents have been developed to treat bacterial infections (Xu et al., 2015). 展开更多
关键词 coli ORFs characterization and complete genome sequence of vB_EcoP-Bp4 a novel polyvalent N4-like bacteriophage that infects chicken pathogenic Escherichia coli
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Robust Multiple Space Object Tracking Using the Possibility Generalized Labeled Multi-Bernoulli Filter
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作者 Han Cai Yihang Jiang +4 位作者 Chenbao Xue Lincheng Li Jeremie Houssineau Xiansong Gu Jingrui Zhang 《Space(Science & Technology)》 2025年第1期300-315,共16页
A major challenge in many multiple space object tracking algorithms lies in the inability to determine a complete probabilistic characterization of the different aspects of the system such as dynamics and observations... A major challenge in many multiple space object tracking algorithms lies in the inability to determine a complete probabilistic characterization of the different aspects of the system such as dynamics and observations.In this paper,a robust multiple space object tracking method is developed by leveraging the framework of outer probability measures.The possibility generalized labeled multi-Bernoulli(GLMB)filter is employed to handle epistemic uncertainty in the process of multiple space object tracking,such as the presence of ignorance in dynamical and observation models.In order to initiate the orbital state of birth targets in the context of the possibility GLMB filter,the possibilistic admissible region(PAR_(+))method is introduced to offer a reliable initial orbit determination based on imperfect information.The developed possibilistic PAR+GLMB scheme provides improved robustness in the case of partial knowledge about the system.The features of the proposed PAR+GLMB method are illustrated using 4 simulated space object tracking case studies. 展开更多
关键词 framework outer probability measuresthe possibility glmb filter epistemic uncertainty robust tracking determine complete probabilistic characterization aspects system multiple space object trackingsuch multiple space object tracking
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