Purpose： The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and pr...Purpose： The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps Design/methodology/approach： We use the combined set of 2015 Journal Citation Reports for the Science Citation Index （n of journals = 8,778） and the Social Sciences Citation Index （n = 3,212） for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map （＂wc 15.exe＂） is available at http：//www.leydesdorff.net/wc 15/index.htm. Findings： Findings appear in the form of visuals throughout the manuscript. In Figures 1 9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies. Research limitations： As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science. Practical implications： Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper.Originality/value： The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports.展开更多
The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical rel...The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.展开更多
BACKGROUND Epidemiological surveys indicate an increasing incidence of type 2 diabetes mellitus(T2DM)among children and adolescents worldwide.Due to rapid disease progression,severe long-term cardiorenal complications...BACKGROUND Epidemiological surveys indicate an increasing incidence of type 2 diabetes mellitus(T2DM)among children and adolescents worldwide.Due to rapid disease progression,severe long-term cardiorenal complications,a lack of effective treatment strategies,and substantial socioeconomic burdens,it has become an urgent public health issue that requires management and resolution.Adolescent T2DM differs from adult T2DM.Despite a significant increase in our understanding of youth-onset T2DM over the past two decades,the related review and evidence-based content remain limited.AIM To visualize the hotspots and trends in pediatric and adolescent T2DM research and to forecast their future research themes.METHODS This study utilized the terms“children”,“adolescents”,and“type 2 diabetes”,retrieving relevant articles published between 1983 and 2023 from three citation databases within the Web of Science Core Collection(SCI,SSCI,ESCI).Utilizing CiteSpace and VoSviewer software,we analyze and visually represent the annual output of literature,countries involved,and participating institutions.This allows us to predict trends in this research field.Our analysis encompasses co-cited authors,journal overlays,citation overlays,time-zone views,keyword analysis,and reference analysis,etc.RESULTS A total of 9210 articles were included,and the annual publication volume in this field showed a steady growth trend.The United States had the highest number of publications and the highest H-index.The United States also had the most research institutions and the strongest research capacity.The global hot journals were primarily diabetes professional journals but also included journals related to nutrition,endocrinology,and metabolism.Keyword analysis showed that research related to endothelial dysfunction,exposure risk,cardiac metabolic risk,changes in gut microbiota,the impact on comorbidities and outcomes,etc.,were emerging keywords.They have maintained their popularity in this field,suggesting that these areas have garnered significant research interest in recent years.CONCLUSION Pediatric and adolescent T2DM is increasingly drawing global attention,with genes,behaviors,environmental factors,and multisystemic interventions potentially emerging as future research hot spots.展开更多
针对弱纹理和变光照环境下基于点特征的视觉SLAM(simultaneous localization and mapping)算法轨迹漂移的问题,提出了一种基于改进自适应阈值ELSED算法(Adaptive-ELSED)的快速点线融合双目视觉SLAM算法。通过在ELSED算法中添加自适应阈...针对弱纹理和变光照环境下基于点特征的视觉SLAM(simultaneous localization and mapping)算法轨迹漂移的问题,提出了一种基于改进自适应阈值ELSED算法(Adaptive-ELSED)的快速点线融合双目视觉SLAM算法。通过在ELSED算法中添加自适应阈值矩阵,动态调整不同光照条件下梯度阈值,并使用长度抑制和短线合并策略,提高线特征的质量。利用基于双目几何约束和图像结构相似性(SSIM)进行快速线段特征三角化。基于历史位姿及误差分析获取初始位姿,通过自适应因子实现光束法平差过程中点线特征的更有效融合。实验结果表明,所提算法在提高线特征质量的同时,耗时仅为LSD算法的50%,线特征匹配速度较传统LBD算法提升67%,挑战性场景下轨迹误差较ORB-SLAM3降低62.2%,系统的平均跟踪帧率为27帧/s,在保证系统实时性的同时,显著提升了系统在弱纹理、变光照环境下的精度和鲁棒性。展开更多
目的:本研究基于知识图谱分析中医药治疗急性肺损伤的研究现状和发展趋势,为未来研究方向提供参考和建议。方法:研究检索了中国知网(CNKI)与Web of Science核心合集数据库自2013年1月1日-2023年2月13日收录的研究中医药治疗急性肺损伤...目的:本研究基于知识图谱分析中医药治疗急性肺损伤的研究现状和发展趋势,为未来研究方向提供参考和建议。方法:研究检索了中国知网(CNKI)与Web of Science核心合集数据库自2013年1月1日-2023年2月13日收录的研究中医药治疗急性肺损伤的国内外文献,绘制年发文量,并运用Citespace软件对国家、机构、作者、关键词等内容进行可视化展示,对中医药治疗急性肺损伤的现状和发展趋势进行分析。结果:经筛选共纳入中文相关文献232篇,英文相关文献313篇。结果显示,年度发文量呈现波动上升趋势;发文量及中心性最强的国家是中国,发表中文和英文文献量最多的作者是刘恩顺和Chen Daofeng;发表中文和英文文献量最多的机构是天津中医药大学和南京中医药大学;中文文献关键词聚类分析显示治疗中医药治疗急性肺损伤的研究热点主要在中医治法理论、实验研究及分子机制、中医药疗法;英文文献关键词聚类分析显示研究热点主要在中医药治疗ALI的机制研究和临床中医药临床治疗研究。结论:中医药治疗急性肺损伤在近十年中处于稳步发展的阶段,知识图谱可视化直观形象地展示了该领域的发展趋势和研究热点,为今后的研究提供依据。展开更多
本文借助CiteSpace软件,对2011—2024年中国知网(CNKI)与Web of Science(WOS)核心合集数据库中智慧养老的高质量文献进行可视化分析,共获取中文文献454篇、英文文献1020篇。结果显示,国内外年度发文量均呈递增趋势。国外研究侧重信息技...本文借助CiteSpace软件,对2011—2024年中国知网(CNKI)与Web of Science(WOS)核心合集数据库中智慧养老的高质量文献进行可视化分析,共获取中文文献454篇、英文文献1020篇。结果显示,国内外年度发文量均呈递增趋势。国外研究侧重信息技术开发应用;国内聚焦平台研发、模式创新及实践探索。通过对比分析发现,信息技术辅助养老是国内外共同研究热点,但二者侧重点有所不同。国内研究相较于国外在深度和广度上仍存在一定差距,有待进一步拓展与深化。本文从空间布局、智能化系统以及心理关怀3个维度提出了养老建筑智能化设计策略。本文旨在通过对国内外智慧养老领域研究热点的深入剖析,为我国智慧养老领域的研究工作以及养老策略的优化完善提供科学的参考依据。展开更多
目的通过分析2000至2025年中国知网(CNKI)和Web of Science数据库中关于高血压与睡眠质量的文献,探讨该领域的研究现状、热点及发展趋势,为优化高血压患者睡眠管理及未来研究提供科学依据。方法采用CiteSpace(6.3.R1)软件对检索到的414...目的通过分析2000至2025年中国知网(CNKI)和Web of Science数据库中关于高血压与睡眠质量的文献,探讨该领域的研究现状、热点及发展趋势,为优化高血压患者睡眠管理及未来研究提供科学依据。方法采用CiteSpace(6.3.R1)软件对检索到的4146篇文献(中文1808篇,英文2338篇)进行文献计量学与可视化分析。结果美国是英文文献发文量最高的国家(645篇),中国位列第2名(406篇)。哈佛大学医学院(93篇)为国外发文量最高的机构,北京中医药大学(37篇)为国内核心研究机构。新疆维吾尔自治区人民医院高血压中心的Li Nanfang以及法国格勒诺布尔大学医院的Pepin Jean-Louis发文量最多(8篇)。英文文献聚焦睡眠质量、危险因素及血压水平,中文研究则侧重于护理干预与危险因素分析。时间线分析结果显示,2009年后关于高血压与睡眠质量的研究进入快速增长期,2020年后“不良情绪”和“血压水平”成为新兴突现词。结论关于高血压患者睡眠质量研究呈现多学科交叉趋势,美国在该领域处于领先地位,研究重点已从基础睡眠监测转向心理社会因素及个性化干预。可穿戴设备结合人工智能的睡眠评估应用、肠道菌群-脑-血压轴机制是该领域两大前沿方向,但跨区域合作网络尚未完善,仍需强化。建议深化临床与公共卫生领域的协同研究,进而构建睡眠-血压综合管理模式。展开更多
文摘Purpose： The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps Design/methodology/approach： We use the combined set of 2015 Journal Citation Reports for the Science Citation Index （n of journals = 8,778） and the Social Sciences Citation Index （n = 3,212） for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map （＂wc 15.exe＂） is available at http：//www.leydesdorff.net/wc 15/index.htm. Findings： Findings appear in the form of visuals throughout the manuscript. In Figures 1 9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies. Research limitations： As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science. Practical implications： Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper.Originality/value： The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports.
文摘The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.
基金Supported by the National Natural Science Foundation of China,No.82105018 and No.81903950.
文摘BACKGROUND Epidemiological surveys indicate an increasing incidence of type 2 diabetes mellitus(T2DM)among children and adolescents worldwide.Due to rapid disease progression,severe long-term cardiorenal complications,a lack of effective treatment strategies,and substantial socioeconomic burdens,it has become an urgent public health issue that requires management and resolution.Adolescent T2DM differs from adult T2DM.Despite a significant increase in our understanding of youth-onset T2DM over the past two decades,the related review and evidence-based content remain limited.AIM To visualize the hotspots and trends in pediatric and adolescent T2DM research and to forecast their future research themes.METHODS This study utilized the terms“children”,“adolescents”,and“type 2 diabetes”,retrieving relevant articles published between 1983 and 2023 from three citation databases within the Web of Science Core Collection(SCI,SSCI,ESCI).Utilizing CiteSpace and VoSviewer software,we analyze and visually represent the annual output of literature,countries involved,and participating institutions.This allows us to predict trends in this research field.Our analysis encompasses co-cited authors,journal overlays,citation overlays,time-zone views,keyword analysis,and reference analysis,etc.RESULTS A total of 9210 articles were included,and the annual publication volume in this field showed a steady growth trend.The United States had the highest number of publications and the highest H-index.The United States also had the most research institutions and the strongest research capacity.The global hot journals were primarily diabetes professional journals but also included journals related to nutrition,endocrinology,and metabolism.Keyword analysis showed that research related to endothelial dysfunction,exposure risk,cardiac metabolic risk,changes in gut microbiota,the impact on comorbidities and outcomes,etc.,were emerging keywords.They have maintained their popularity in this field,suggesting that these areas have garnered significant research interest in recent years.CONCLUSION Pediatric and adolescent T2DM is increasingly drawing global attention,with genes,behaviors,environmental factors,and multisystemic interventions potentially emerging as future research hot spots.
文摘针对弱纹理和变光照环境下基于点特征的视觉SLAM(simultaneous localization and mapping)算法轨迹漂移的问题,提出了一种基于改进自适应阈值ELSED算法(Adaptive-ELSED)的快速点线融合双目视觉SLAM算法。通过在ELSED算法中添加自适应阈值矩阵,动态调整不同光照条件下梯度阈值,并使用长度抑制和短线合并策略,提高线特征的质量。利用基于双目几何约束和图像结构相似性(SSIM)进行快速线段特征三角化。基于历史位姿及误差分析获取初始位姿,通过自适应因子实现光束法平差过程中点线特征的更有效融合。实验结果表明,所提算法在提高线特征质量的同时,耗时仅为LSD算法的50%,线特征匹配速度较传统LBD算法提升67%,挑战性场景下轨迹误差较ORB-SLAM3降低62.2%,系统的平均跟踪帧率为27帧/s,在保证系统实时性的同时,显著提升了系统在弱纹理、变光照环境下的精度和鲁棒性。
文摘目的:本研究基于知识图谱分析中医药治疗急性肺损伤的研究现状和发展趋势,为未来研究方向提供参考和建议。方法:研究检索了中国知网(CNKI)与Web of Science核心合集数据库自2013年1月1日-2023年2月13日收录的研究中医药治疗急性肺损伤的国内外文献,绘制年发文量,并运用Citespace软件对国家、机构、作者、关键词等内容进行可视化展示,对中医药治疗急性肺损伤的现状和发展趋势进行分析。结果:经筛选共纳入中文相关文献232篇,英文相关文献313篇。结果显示,年度发文量呈现波动上升趋势;发文量及中心性最强的国家是中国,发表中文和英文文献量最多的作者是刘恩顺和Chen Daofeng;发表中文和英文文献量最多的机构是天津中医药大学和南京中医药大学;中文文献关键词聚类分析显示治疗中医药治疗急性肺损伤的研究热点主要在中医治法理论、实验研究及分子机制、中医药疗法;英文文献关键词聚类分析显示研究热点主要在中医药治疗ALI的机制研究和临床中医药临床治疗研究。结论:中医药治疗急性肺损伤在近十年中处于稳步发展的阶段,知识图谱可视化直观形象地展示了该领域的发展趋势和研究热点,为今后的研究提供依据。
文摘本文借助CiteSpace软件,对2011—2024年中国知网(CNKI)与Web of Science(WOS)核心合集数据库中智慧养老的高质量文献进行可视化分析,共获取中文文献454篇、英文文献1020篇。结果显示,国内外年度发文量均呈递增趋势。国外研究侧重信息技术开发应用;国内聚焦平台研发、模式创新及实践探索。通过对比分析发现,信息技术辅助养老是国内外共同研究热点,但二者侧重点有所不同。国内研究相较于国外在深度和广度上仍存在一定差距,有待进一步拓展与深化。本文从空间布局、智能化系统以及心理关怀3个维度提出了养老建筑智能化设计策略。本文旨在通过对国内外智慧养老领域研究热点的深入剖析,为我国智慧养老领域的研究工作以及养老策略的优化完善提供科学的参考依据。
文摘目的通过分析2000至2025年中国知网(CNKI)和Web of Science数据库中关于高血压与睡眠质量的文献,探讨该领域的研究现状、热点及发展趋势,为优化高血压患者睡眠管理及未来研究提供科学依据。方法采用CiteSpace(6.3.R1)软件对检索到的4146篇文献(中文1808篇,英文2338篇)进行文献计量学与可视化分析。结果美国是英文文献发文量最高的国家(645篇),中国位列第2名(406篇)。哈佛大学医学院(93篇)为国外发文量最高的机构,北京中医药大学(37篇)为国内核心研究机构。新疆维吾尔自治区人民医院高血压中心的Li Nanfang以及法国格勒诺布尔大学医院的Pepin Jean-Louis发文量最多(8篇)。英文文献聚焦睡眠质量、危险因素及血压水平,中文研究则侧重于护理干预与危险因素分析。时间线分析结果显示,2009年后关于高血压与睡眠质量的研究进入快速增长期,2020年后“不良情绪”和“血压水平”成为新兴突现词。结论关于高血压患者睡眠质量研究呈现多学科交叉趋势,美国在该领域处于领先地位,研究重点已从基础睡眠监测转向心理社会因素及个性化干预。可穿戴设备结合人工智能的睡眠评估应用、肠道菌群-脑-血压轴机制是该领域两大前沿方向,但跨区域合作网络尚未完善,仍需强化。建议深化临床与公共卫生领域的协同研究,进而构建睡眠-血压综合管理模式。
