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您的检索式：作者名="Sibo Cheng"
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| 1 | Compact asymmetric sound absorber at the exceptional point显示文摘We present an asymmetric absorber at an exceptional point(EP) with a compact configuration and deep-subwavelength thickness.Unlike conventional side-branched sound absorbers in dual-port systems, the proposed asymmetric absorber exhibits a compact shape that is coaxial with the waveguide. By tuning the loss and geometric parameters of the non-Hermitian system to reach an EP, we observe extreme asymmetric absorption. This phenomenon is theoretically and experimentally validated by observing a quasi-perfect absorption and a near-total reflection for opposite incidences at the ultra-thin(1/28 th of the operating wavelength)neck-embedded tube employed in this study. Furthermore, we demonstrate an EP-induced tunable asymmetric absorption. Our study proposes novel approaches to manipulate the EP-induced wave phenomena, paving the way for the development of novel acoustic absorbers, sensors, isolators, and directional devices. | DongTing Li SiBo Huang Yi Cheng Yong Li | 2021 | Science China(Physics,Mechanics & Astronomy)2021，64，4： | 2 |
| 2 | Truncated glycoprotein E of varicella-zoster virus is an ideal immunogen for Escherichia coli-based vaccine design显示文摘Varicella-zoster virus(VZV)is a highly infectious agent responsible for both varicella and herpes zoster disease.Despite high efficacy,there remain safety and accessibility concerns with the licensed vaccines.Here,we sought to produce a VZV g E immunogen using an E.coli expression system.We found that the soluble expression and yield of g E protein could be enhanced via C-terminal truncations to the protein,thereby facilitating a robust and scalable purification process for the purpose of vaccine manufacturing.The lead truncated g E(aa 31–358),hereafter referred to as tg E,was a homogenous monomer in solution and showed excellent antigenicity.Finally,we assessed and compared the immunogenicity of tg E with commercial v Oka LAV and Shingrix vaccine.We found that aluminum-adjuvanted tg E was immunogenic as compared with v Oka LAV.When adjuvanted with AS01B,a two-dose immunization of tg E showed comparable or better potency in antibody responses and cell-mediated immunity with those of the Shingrix vaccine at the same dosage,especially in terms of the proportion of IFN-γ-expressing CD4^(+)T cells.In conclusion,this method of E.coli-mediate tg E expression offers a cost-effective and scalable strategy to generate an ideal VZV g E immunogen for the development of both varicella and zoster vaccines. | Tingting Chen Jie Sun Sibo Zhang Tingting Li Liqin Liu Wenhui Xue Lizhi Zhou Siting Liang Zhili Yu Qingbing Zheng Hai Yu Tong Cheng Jun Zhang Ying Gu Shaowei Li Ningshao Xia | 2023 | Science China(Life Sciences)2023，66，4： | 1 |
| 3 | Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review显示文摘Data assimilation(DA)and uncertainty quantification(UQ)are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics.Typical applications span from computational fluid dynamics(CFD)to geoscience and climate systems.Recently,much effort has been given in combining DA,UQ and machine learning(ML)techniques.These research efforts seek to address some critical challenges in high-dimensional dynamical systems,including but not limited to dynamical system identification,reduced order surrogate modelling,error covariance specification and model error correction.A large number of developed techniques and methodologies exhibit a broad applicability across numerous domains,resulting in the necessity for a comprehensive guide.This paper provides the first overview of state-of-the-art researches in this interdisciplinary field,covering a wide range of applications.This review is aimed at ML scientists who attempt to apply DA and UQ techniques to improve the accuracy and the interpretability of their models,but also at DA and UQ experts who intend to integrate cutting-edge ML approaches to their systems.Therefore,this article has a special focus on how ML methods can overcome the existing limits of DA and UQ,and vice versa.Some exciting perspectives of this rapidly developing research field are also discussed.Index Terms-Data assimilation(DA),deep learning,machine learning(ML),reduced-order-modelling,uncertainty quantification(UQ). | Sibo Cheng César Quilodrán-Casas Said Ouala Alban Farchi Che Liu Pierre Tandeo Ronan Fablet Didier Lucor Bertrand Iooss Julien Brajard Dunhui Xiao Tijana Janjic Weiping Ding Yike Guo Alberto Carrassi Marc Bocquet Rossella Arcucci | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，6： | 1 |
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