Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted...Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted extensively,which leads to working on a research problem that others have well addressed.The study focuses on citation recommendation in the related studies section by applying the term function of a citation context,potentially improving the efficiency of writing a literature review.Design/methodology/approach:We present nine term functions with three newly created and six identified from existing literature.Using these term functions as labels,we annotate 531 research papers in three topics to evaluate our proposed recommendation strategy.BM25 and Word2vec with VSM are implemented as the baseline models for the recommendation.Then the term function information is applied to enhance the performance.Findings:The experiments show that the term function-based methods outperform the baseline methods regarding the recall,precision,and F1-score measurement,demonstrating that term functions are useful in identifying valuable citations.Research limitations:The dataset is insufficient due to the complexity of annotating citation functions for paragraphs in the related studies section.More recent deep learning models should be performed to future validate the proposed approach.Practical implications:The citation recommendation strategy can be helpful for valuable citation discovery,semantic scientific retrieval,and automatic literature review generation.Originality/value:The proposed citation function-based citation recommendation can generate intuitive explanations of the results for users,improving the transparency,persuasiveness,and effectiveness of recommender systems.展开更多
目的:评估词语记忆量表在认知功能正常的军队离退休人员中的应用,并分析影响词语记忆量表得分的相关因素。方法:以军队干休所为单位,选取2846名简易精神状态检查(MMSE)在24分以上的老年人进行词语记忆量表检查,内容包括词语即刻回忆、...目的:评估词语记忆量表在认知功能正常的军队离退休人员中的应用,并分析影响词语记忆量表得分的相关因素。方法:以军队干休所为单位,选取2846名简易精神状态检查(MMSE)在24分以上的老年人进行词语记忆量表检查,内容包括词语即刻回忆、延迟回忆、延迟再认(原词再认、新词再认),并分析性别、年龄、教育程度与词语记忆量表各项得分的相关性。结果:词语记忆量表的得分中,不同性别的新词再认得分差异无统计学意义(P>0.05),其余各项均是女性得分高于男性(均P<0.05);各项词语得分均随年龄增长呈下降趋势(均P<0.01);不同教育年限组的延迟再认得分差异无统计学意义(P>0.05),即刻回忆和延迟回忆得分随教育年限增长呈上升趋势(P<0.01)。词语记忆量表各项得分与M M SE得分均呈正相关(P<0.01)。85%的老年人延迟回忆信息保存达70%及以上。结论:使用词语记忆量表评估老年人的记忆功能要考虑性别、年龄、教育程度的影响。展开更多
基金This work is supported by the National Natural Science Foundation of China(Grant No.7167030644 and 71704137)。
文摘Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted extensively,which leads to working on a research problem that others have well addressed.The study focuses on citation recommendation in the related studies section by applying the term function of a citation context,potentially improving the efficiency of writing a literature review.Design/methodology/approach:We present nine term functions with three newly created and six identified from existing literature.Using these term functions as labels,we annotate 531 research papers in three topics to evaluate our proposed recommendation strategy.BM25 and Word2vec with VSM are implemented as the baseline models for the recommendation.Then the term function information is applied to enhance the performance.Findings:The experiments show that the term function-based methods outperform the baseline methods regarding the recall,precision,and F1-score measurement,demonstrating that term functions are useful in identifying valuable citations.Research limitations:The dataset is insufficient due to the complexity of annotating citation functions for paragraphs in the related studies section.More recent deep learning models should be performed to future validate the proposed approach.Practical implications:The citation recommendation strategy can be helpful for valuable citation discovery,semantic scientific retrieval,and automatic literature review generation.Originality/value:The proposed citation function-based citation recommendation can generate intuitive explanations of the results for users,improving the transparency,persuasiveness,and effectiveness of recommender systems.
文摘目的:评估词语记忆量表在认知功能正常的军队离退休人员中的应用,并分析影响词语记忆量表得分的相关因素。方法:以军队干休所为单位,选取2846名简易精神状态检查(MMSE)在24分以上的老年人进行词语记忆量表检查,内容包括词语即刻回忆、延迟回忆、延迟再认(原词再认、新词再认),并分析性别、年龄、教育程度与词语记忆量表各项得分的相关性。结果:词语记忆量表的得分中,不同性别的新词再认得分差异无统计学意义(P>0.05),其余各项均是女性得分高于男性(均P<0.05);各项词语得分均随年龄增长呈下降趋势(均P<0.01);不同教育年限组的延迟再认得分差异无统计学意义(P>0.05),即刻回忆和延迟回忆得分随教育年限增长呈上升趋势(P<0.01)。词语记忆量表各项得分与M M SE得分均呈正相关(P<0.01)。85%的老年人延迟回忆信息保存达70%及以上。结论:使用词语记忆量表评估老年人的记忆功能要考虑性别、年龄、教育程度的影响。
