1,722,269 research outputs found

    Protein vibrational frequencies dataset: Rapid Prediction of Protein Natural Frequencies using Graph Neural Networks

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    Dataset for machine learning model, based on graph neural network, to predict protein natural frequencies using Graph Neural Networks. Code: https://github.com/lamm-mit/ProteinMechanicsGNN Paper: Rapid Prediction of Protein Natural Frequencies using Graph Neural Networks Kai Guo and Markus J. Buehler Digital Discovery, 2022, DOI: 10.1039/D1DD00007

    Daicing gurun-i fukjin doro neihe bodogon-i bithe.[Huang Qing Kai guo fang lüe皇清開國方略] compilé par Agūi et autres. Mandchou 143 (1-6)

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    AgūiDaicing gurun-i fukjin doro neihe bodogon-i bitheHuang Qing kai guo fang lüeNumérisation effectuée à partir d'un document de substitution : R 80221

    Daicing gurun-i fukjin doro neihe bodogon-i bithe.[Huang Qing Kai guo fang lüe皇清開國方略] compilé par Agūi et autres. Mandchou 143 (19-25)

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    AgūiDaicing gurun-i fukjin doro neihe bodogon-i bitheHuang Qing kai guo fang lüeNumérisation effectuée à partir d'un document de substitution : R 80223

    sj-docx-1-pie-10.1177_09544089231172328 - Supplemental material for Changes in the mode of transportation using active magnetic technology for non-standard equipment

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    Supplemental material, sj-docx-1-pie-10.1177_09544089231172328 for Changes in the mode of transportation using active magnetic technology for non-standard equipment by Hongsheng Zhang, Yanbin Li and Kai Guo in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p

    sj-docx-1-cll-10.1177_09636897231213309 – Supplemental material for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy

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    Supplemental material, sj-docx-1-cll-10.1177_09636897231213309 for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy by Jifu Xin, Lvlv Zhou, Ling Zhang, Kai Guo and Dayong Yang in Cell Transplantation</p

    sj-tif-3-cll-10.1177_09636897231213309 – Supplemental material for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy

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    Supplemental material, sj-tif-3-cll-10.1177_09636897231213309 for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy by Jifu Xin, Lvlv Zhou, Ling Zhang, Kai Guo and Dayong Yang in Cell Transplantation</p

    sj-jpg-2-cll-10.1177_09636897231213309 – Supplemental material for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy

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    Supplemental material, sj-jpg-2-cll-10.1177_09636897231213309 for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy by Jifu Xin, Lvlv Zhou, Ling Zhang, Kai Guo and Dayong Yang in Cell Transplantation</p

    sj-tif-4-cll-10.1177_09636897231213309 – Supplemental material for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy

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    Supplemental material, sj-tif-4-cll-10.1177_09636897231213309 for Neuroprotective Effects of Human Adipose–Derived Mesenchymal Stem Cells in Oxygen-Induced Retinopathy by Jifu Xin, Lvlv Zhou, Ling Zhang, Kai Guo and Dayong Yang in Cell Transplantation</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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