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| 1 | Elastic Scattering of 7Be on Pb Target显示文摘 | Yang Yanyun Wang Jiansong Wang Qi Huang Meirong Ma Junbing Ma Peng Cao Xiguang Han Jianlong Bai Zhen Jin Shilong Hu Qiang Jin Lei Chen Jiangbo Zhang Xueying Chen Ruofu Hu Zhengguo Xu Shiwei Zhen Chuan Xu Zhiguo Xu Hushan Duan Liming Sun Zhiyu Chen Zhiqiang He Jianjun Li Songlin Lei Xiangguo Fu Fen Zhang Xueheng Yuan Xiaohua Du Chengming Yan Xinshuang Hu Jun Tang Shuwen Ye Ruiping Yang Kun Shi Fudong Zhang Wei Chen Ze Li Long Xu Xing Liu Longxiang Zhang Liyong Lin Qingyun Gou Boxing Xu Ge Zhou Xionghong Zhang Yuhu Xiao Guoqing | 2011 | IMP & HIRFL Annual Report2011，，1： | 4 |
| 2 | Study on Feasibility of Reusable Rocket Launching Technology by Use of Scramjet and Maglev Technologies显示文摘The scramjet and maglev engineering technology development and trends at home and abroad are firstly presented in this paper. A new launch mode of space transportation system is proposed based on scramjet and magnetic suspension technologies, and its key technologies required are given. This paper also makes analysis on using scramjet and magnetic suspension technologies to launch a reusable rocket, and the results show that a normal temperature conductor maglev launch system is feasible. | ZHAO Jincai GOU Yongjie YIN Liming | 2016 | Aerospace China2016，17，2： | 1 |
| 3 | Improving antibody affinity through in vitro mutagenesis in complementarity determining regions显示文摘High-affinity antibodies are widely used in diagnostics and for the treatment of human diseases.However,most antibodies are isolated from semi-synthetic libraries by phage display and do not possess in vivo affinity maturation,which is triggered by antigen immunization.It is therefore necessary to engineer the affinity of these antibodies by way of in vitro assaying.In this study,we optimized the affinity of two human monoclonal antibodies which were isolated by phage display in a previous related study.For the 42A1 antibody,which targets the liver cancer antigen glypican-3,the variant T57H in the second complementarity-determining region of the heavy chain(CDR-H2)exhibited a 2.6-fold improvement in affinity,as well as enhanced cell-binding activity.For the I4A3 antibody to severe acute respiratory syndrome coronavirus 2,beneficial single mutations in CDR-H2 and CDR-H3 were randomly combined to select the best synergistic mutations.Among these,the mutation S53P-S98T improved binding affinity(about 3.7 fold)and the neutralizing activity(about 12 fold)compared to the parent antibody.Taken together,single mutations of key residues in antibody CDRs were enough to increase binding affinity with improved antibody functions.The mutagenic combination of key residues in different CDRs creates additive enhancements.Therefore,this study provides a safe and effective in vitro strategy for optimizing antibody affinity. | Wei Ye Xiaoyu Liu Ruiting He Liming Gou Ming Lu Gang Yang Jiaqi Wen Xufei Wang Fang Liu Sujuan Ma Weifeng Qian Shaochang Jia Tong Ding Luan Sun Wei Gao | 2022 | The Journal of Biomedical Research2022，36，3： | 0 |
| 4 | Knowledge representation and decoupling analysis on failure mechanisms of remotely controlled intelligent machinery显示文摘Remotely controlled intelligent machinery has complications,including loose manage-ment of failure information,low information availability,and coupling influence among systems,which can be effectively solved by analyzing the system state and information characteristics of the equipment.Taking intelligent agricultural machinery as the object,this study applies the knowledge representation method to explore equipment failure states’informational features and construct a knowledge framework model of system fail-ure representation relations and a complex network conceptual model to visualize the fail-ure information more intuitively and facilitate systematic management and utilization.The feedback-based decoupling analysis method uncouples the coupling between subsys-tems,identifying the critical state of decoupling well.It attempts to apply the knowledge representation and decoupling analysis to remotely controlled intelligent agricultural machinery equipment.Through the example,the result further illustrates the feasibility of knowledge representation and decoupling for remotely controlled intelligent agricultural machinery systems and provides essential support for better failure analysis. | Liming Gou Jian Zhang Naiwen Li | 2022 | Information Processing in Agriculture2022，9，1： | 0 |
| 5 | Galectin-14 promotes hepatocellular carcinoma tumor growth via enhancing heparan sulfate proteoglycan modification显示文摘Hepatocellular carcinoma(HCC)is a highly heterogeneous malignancy and lacks effective treatment.Bulk-sequencing of different gene transcripts by comparing HCC tissues and adjacent normal tissues provides some clues for investigating the mechanisms or identifying potential targets for tumor progression.However,genes that are exclusively expressed in a subpopulation of HCC may not be enriched or detected through such a screening.In the current study,we performed a single cell-clone-based screening and identified galectin-14 as an essential molecule in the regulation of tumor growth.The aberrant expression of galectin-14 was significantly associated with a poor overall survival of liver cancer patients with database analysis.Knocking down galectin-14 inhibited the proliferation of tumor growth,whereas overexpressing galectin-14 promoted tumor growth in vivo.Non-targeted metabolomics analysis indicated that knocking down galectin-14 decreased glycometabolism;specifically that glycoside synthesis was significantly changed.Further study found that galectin-14 promoted the expression of cell surface heparan sulfate proteoglycans(HSPGs)that functioned as co-receptors,thereby increasing the responsiveness of HCC cells to growth factors,such as epidermal growth factor and transforming growth factor-alpha.In conclusion,the current study identifies a novel HCC-specific molecule galectin-14,which increases the expression of cell surface HSPGs and the uptake of growth factors to promote HCC cell proliferation. | Liming Gou Gang Yang Sujuan Ma Tong Ding Luan Sun Fang Liu Jin Huang Wei Gao | 2023 | The Journal of Biomedical Research2023，37，6： | 0 |
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