2篇
您的检索式：作者名="Xiangyu Shui"
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| 1 | Exploring the Bridge Cases’Role in the Transmission of the SARSCoV-2 Delta Variant—Ruili City,Yunnan Province,China,July–September 2021显示文摘Summary What is already known about this topic?The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Delta variant has proved to have increased transmissibility,and mutations that can cause partial immune escape,which makes its transmission more insidious.What is added by this report?This study showed that probable cases who had negative results in nucleic acid testing but had positive IgM test result and/or IgG test value of over 20 S/CO in antibodies testing. | Xiangyu Yan Litao Chang Zekun Wang Linhui Hao Zhongwei Jia Bo Zhang Tiejun Shui | 2021 | China CDC weekly2021，3，50： | 4 |
| 2 | J-comb: An image fusion algorithm to combine observations covering different spatial frequency ranges显示文摘Ground-based, high-resolution bolometric(sub)millimeter continuum mapping observations on spatially extended target sources are often subject to significant missing fluxes. This hampers accurate quantitative analyses. Missing flux can be recovered by fusing high-resolution images with observations that preserve extended structures. However, the commonly adopted image fusion approaches do not maintain the simplicity of the beam response function and do not try to elaborate the details of the yielded beam response functions. These make the comparison of the observations at multiple wavelengths not straightforward. We present a new algorithm, J-comb, which combines the high and low-resolution images linearly. By applying a taper function to the low-pass filtered image and combining it with a high-pass filtered image using proper weights, the beam response functions of our combined images are guaranteed to have near-Gaussian shapes. This makes it easy to convolve the observations at multiple wavelengths to share the same beam response functions. Moreover, we introduce a strategy to tackle the specific problem that the imaging at 850 μm from the present-date ground-based bolometric instrument and that taken with the Planck satellite do not overlap in the Fourier domain. We benchmarked our method against two other widely-used image combination algorithms, CASA-feather and MIRIAD-immerge, with mock observations of star-forming molecular clouds. We demonstrate that the performance of the J-comb algorithm is superior to those of the other two algorithms. We applied the J-comb algorithm to real observational data of the Orion A star-forming region. We successfully produced dust temperature and column density maps with ~10′′angular resolution, unveiling much greater details than the previous results. A py Thon code release of J-comb and implementation of the algorithm are available at http://gffzz188fe103f8f1460as0k0q950wfvxk65vf.ffgz.tsg.suse.edu.cn/Sihan Jiao/J-comb. | Sihan Jiao Yuxin Lin Xiangyu Shui Jingwen Wu Zhiyuan Ren Di Li | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，9： | 0 |
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