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您的检索式：作者名="Keqing Song"
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| 1 | Endogenous cellulolytic enzyme systems in the longhorn beetle Mesosa myops (Insecta: Coleoptera) studied by transcriptomic analysis显示文摘Cerambycidae (长角牛甲壳虫) 是有食木的喂的习惯的翘目的一个大家庭。纤维素消化在这些喂木头的昆虫起一个重要作用。在这研究, transcriptomic 技术被用来获得一个 glycoside hydrolase 家庭 45 (GH45 ) 从 Mesosa myops 的绗维素酶和七 GH5 绗维素酶,典型长角牛甲壳虫。表达式动力学和进化关系的分析提供了对可加水分解纤维素的系统的完全的描述。与单个开发有关的表示动力学显示内长的 GH45 和 GH5 绗维素酶在 M 统治纤维素消化。myops。进化分析建议那 GH45 绗维素酶基因是在翘目亚目 Polyphaga 的一般基因。进化分析也显示在 Lamiinae 长角牛甲壳虫的 GH5 绗维素酶组仔细与木头喂被联系。这研究证明在 M 有一个复杂内长的可加水分解纤维素的系统。被属于二个 glycoside hydrolase 家庭的绗维素酶统治的 myops。 | Jie Liu Keqing Song Huajing Teng Bin Zhang Wenzhu Li Huaijun Xue Xingke Yang | 2015 | Acta Biochimica et Biophysica Sinica2015，47，9： | 1 |
| 2 | Detector development at the Back-n white neutron source显示文摘Purpose Back-n is a white neutron beamline at China spallation neutron source,which was established in the year of 2018.It is a powerful facility for nuclear data measurement,neutron detector calibration,and radiation effect research.Method A series of detectors were built for different experiments,including beam monitoring,beam profile measurement,neutron induced secondaries(fission fragments,light charged particles and gamma)cross section measurement,and neutron resonance radiography,etc.A common digitization electronics and a cluster-based DAQ were developed for these detector systems.Most detectors have been employed at Back-n and serviced for experiments from the beginning of the beamline running.Results and conclusion As an overview of detectors of Back-n,the details of the detector design and the experiment performing are described in this paper.Some developing systems,e.g.,MTPC and B-MCP,are also included. | Fan Ruirui Li Qiang Bao Jie Li Yang Liu Rong Jiang Wei Ren Jie Zhang Qiwei Cao Ping Gu Minhao Ren Zhizhou Yi Han Tang Jingyu An Qi Bai Haofan Bai Jiangbo Chen Qiping Chen Yonghao Chen Zhen Cui Zengqi Fan Anchuan Feng Changqing Feng Fanzhen Gao Keqing Han Changcai Han Zijie He Guozhu He Yongcheng Hong Yang Hu Yiwei Huang Hanxiong Jia Weihua Jiang Haoyu Jiang Zhijie Jin Zhengyao Kang Ling Li Bo Li Chao Li Gong Li Jiawen Li Xiao Liu Jie Liu Shubin Luan Guangyuan Ning Changjun Qi Binbin Ruan Xichao Song Zhaohui Sun Kang Tan Zhixin Tang Shengda Wang Pengcheng Wang Zhaohui Wen Zhongwei Wu Xiaoguang Wu Xuan Xie Likun Yang Yiwei Yu Yongji Zhang Guohui Zhang Linhao Zhang Mohan Zhang Xianpeng Zhang Yuliang Zhang Yue Zhang Zhiyong Zhao Maoyuan Zhou Luping Zhou Zhihao Zhu Kejun The CSNS Back-n Collaboration | 2023 | Radiation Detection Technology and Methods2023，7，2： | 0 |
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