目的:基于文献计量学对细胞自噬在缺血性脑卒中作用的研究现状与前沿热点进行分析和总结。方法:以中国知网、万方数据和Web of science数据库核心合集检索文献,采用软件Cite Space、VOS viewer以及R语言文献计量学包Bibliometrix对2013~...目的:基于文献计量学对细胞自噬在缺血性脑卒中作用的研究现状与前沿热点进行分析和总结。方法:以中国知网、万方数据和Web of science数据库核心合集检索文献,采用软件Cite Space、VOS viewer以及R语言文献计量学包Bibliometrix对2013~2023年已经发表的文献进行发文量、国家、作者合作、机构合作、关键词、共现网络的可视化分析。结果:纳入的中、英文文献发文量趋于稳定,最近几年呈上升趋势,研究热度不减;中国为发文量第一的国家;田福玲和陈忠分别是中、英文文献发文量最多的作者;安徽中医药大学和浙江大学分别是中、英文文献发文量最多的机构;中医药联用、外泌体、串扰效应、机制研究可能是未来几年的研究热点。结论:未来广大科研人员在细胞自噬的具体作用机制、效应、中药来源创新药物研发等方面的研究有待深入,可以通过基因敲除、网络药理学等方法来探究具体作用机制,可尝试中药“以药寻靶”为策略,解析中药药效物质、揭示中药新靶标以及开发中药创新药物。展开更多
We integrate k-Nearest Neighbors(kNN) into Support Vector Machine(SVM) and create a new method called SVM-kNN.SVM-kNN strengthens the generalization ability of SVM and apply kNN to correct some forecast errors of SVM ...We integrate k-Nearest Neighbors(kNN) into Support Vector Machine(SVM) and create a new method called SVM-kNN.SVM-kNN strengthens the generalization ability of SVM and apply kNN to correct some forecast errors of SVM and improve the forecast accuracy.In addition,it can give the prediction probability of any quasar candidate through counting the nearest neighbors of that candidate which is produced by kNN.Applying photometric data of stars and quasars with spectral classification from SDSS DR7 and considering limiting magnitude error is less than 0.1,SVM-kNN and SVM reach much higher performance that all the classification metrics of quasar selection are above 97.0%.Apparently,the performance of SVM-kNN has slighter improvement than that of SVM.Therefore SVM-kNN is such a competitive and promising approach that can be used to construct the targeting catalogue of quasar candidates for large sky surveys.展开更多
文摘目的:基于文献计量学对细胞自噬在缺血性脑卒中作用的研究现状与前沿热点进行分析和总结。方法:以中国知网、万方数据和Web of science数据库核心合集检索文献,采用软件Cite Space、VOS viewer以及R语言文献计量学包Bibliometrix对2013~2023年已经发表的文献进行发文量、国家、作者合作、机构合作、关键词、共现网络的可视化分析。结果:纳入的中、英文文献发文量趋于稳定,最近几年呈上升趋势,研究热度不减;中国为发文量第一的国家;田福玲和陈忠分别是中、英文文献发文量最多的作者;安徽中医药大学和浙江大学分别是中、英文文献发文量最多的机构;中医药联用、外泌体、串扰效应、机制研究可能是未来几年的研究热点。结论:未来广大科研人员在细胞自噬的具体作用机制、效应、中药来源创新药物研发等方面的研究有待深入,可以通过基因敲除、网络药理学等方法来探究具体作用机制,可尝试中药“以药寻靶”为策略,解析中药药效物质、揭示中药新靶标以及开发中药创新药物。
基金supported by the National Natural Science Foundation of China(Grant Nos.10778724,11178021 and 11033001)the Natural Science Foundation of Education Department of Hebei Province (Grant No.ZD2010127)the Young Researcher Grant of National Astronomical Observatories,Chinese Academy of Sciences
文摘We integrate k-Nearest Neighbors(kNN) into Support Vector Machine(SVM) and create a new method called SVM-kNN.SVM-kNN strengthens the generalization ability of SVM and apply kNN to correct some forecast errors of SVM and improve the forecast accuracy.In addition,it can give the prediction probability of any quasar candidate through counting the nearest neighbors of that candidate which is produced by kNN.Applying photometric data of stars and quasars with spectral classification from SDSS DR7 and considering limiting magnitude error is less than 0.1,SVM-kNN and SVM reach much higher performance that all the classification metrics of quasar selection are above 97.0%.Apparently,the performance of SVM-kNN has slighter improvement than that of SVM.Therefore SVM-kNN is such a competitive and promising approach that can be used to construct the targeting catalogue of quasar candidates for large sky surveys.
