يعرض 1 - 10 نتائج من 31 نتيجة بحث عن '"Bi, Jialin"', وقت الاستعلام: 0.83s تنقيح النتائج
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    تقرير
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    دورية أكاديمية

    المساهمون: School of Physical and Mathematical Sciences

    وصف الملف: application/pdf

    العلاقة: RG16/23; MOE-T2EP20120-0013; MOE-T2EP20220-0010; MOE-T2EP20221-0003; Computational and Structural Biotechnology Journal; Shen, C., Ding, P., Wee, J., Bi, J., Luo, J. & Xia, K. (2024). Curvature-enhanced graph convolutional network for biomolecular interaction prediction. Computational and Structural Biotechnology Journal, 23, 1016-1025. https://dx.doi.org/10.1016/j.csbj.2024.02.006Test; https://hdl.handle.net/10356/174927Test; 2-s2.0-85185555360; 23; 1016; 1025

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    تقرير
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    دورية أكاديمية
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    دورية أكاديمية

    مصطلحات موضوعية: F200 Materials Science, H300 Mechanical Engineering

    وصف الملف: text

    العلاقة: https://nrl.northumbria.ac.uk/id/eprint/50427/1/Revised_manuscript_8_without_marks.pdfTest; Bi, Jialin, Liu, Yan, Gao, Fengjun, Ge, Shengsong, E-lBahy, Zeinhom M., Huang, Mina, Mersa, Gaber A. M., Alhadhrami, A., Ibrahim, Mohamed M., Xu, Bin, Algadi, Hassan, Shao, Qian and Guo, Zhanhu (2022) Improving water resistance and mechanical properties of waterborne acrylic resin modified by 3,3',5,5'-tetramethyl-4,4'-biphenyl diglycidyl ether. Surfaces and Interfaces, 35. p. 102426. ISSN 2468-0230

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    دورية أكاديمية

    المؤلفون: Qu, Cunquan, Bi, Jialin, Wang, Guanghui

    المساهمون: China Postdoctoral Science Foundation, National Natural Science Foundation of China, Shandong University multidisciplinary research and innovation team of young scholars

    المصدر: Journal of Physics: Complexity ; volume 2, issue 2, page 025002 ; ISSN 2632-072X

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    كتاب

    المؤلفون: Jin, Ji, Bi, Jialin, Qu, Cunquan

    المصدر: Artificial Neural Networks and Machine Learning – ICANN 2023 ; Lecture Notes in Computer Science ; page 447-458 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031441912 9783031441929

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    دورية أكاديمية

    المساهمون: School of Physical and Mathematical Sciences

    مصطلحات موضوعية: Science::Mathematics, Protein, Insights

    العلاقة: RG109/19; MOE-T2EP20120-0013; MOE-T2EP20220-0010; Journal of Chemical Information and Modeling; Bi, J., Wee, J., Liu, X., Qu, C., Wang, G. & Xia, K. (2023). Multiscale topological indices for the quantitative prediction of SARS CoV-2 binding affinity change upon mutations. Journal of Chemical Information and Modeling, 63(13), 4216-4227. https://dx.doi.org/10.1021/acs.jcim.3c00621Test; https://hdl.handle.net/10356/171438Test; 2-s2.0-85164260804; 13; 63; 4216; 4227

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    دورية أكاديمية

    المساهمون: Science Fund for Distinguished Young Scholars of Fujian Province, Scientific Research Foundation for Returned Scholars of Ministry of Education, Elite Program of SDUST

    المصدر: Journal of Materials Science ; volume 58, issue 3, page 1452-1464 ; ISSN 0022-2461 1573-4803