In order to get the development of status in the field of big data research on international, and to identify the hotspots and frontiers of this field during 2012 and 2017. This paper draw the visualization mapping of...
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This study examines the performance of stocks investment portfolio by using accounting information. The sample is selected from Taiwan Economic Journal to test F-SCORE cooperating with Dividend-to-price ratio, Earning...
This study examines the performance of stocks investment portfolio by using accounting information. The sample is selected from Taiwan Economic Journal to test F-SCORE cooperating with Dividend-to-price ratio, Earnings-to-price Ratio and Book-to-Market respectively. The sample period is from May, 2008 to May, 2018. The findings of this study are as follows. First, if we choose Dividend-to-price ratio, Earnings-to-price Ratio or Book-to-Market to distinguish from the value and growth portfolio, the value portfolio is significantly better than the growth one. Second, if we choose F-SCORE to distinguish from high and low score, the high score portfolio is significantly better than the low score one. The result showed that when the investor use Dividend-to-price ratio, Earnings-to-price Ratio or Book-to-Market together with fundamental financial information, they could become more profitable or more effectively improve the performance.
目的探析结核病患者就诊延迟及医疗卫生系统诊断治疗延迟研究领域所关注的现状、热点及发展趋势。方法以"tuberculosis delay"为检索词对Web of Science核心数据库1979—2019年结核病延迟领域的文献进行检索及初步分析,共检...
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目的探析结核病患者就诊延迟及医疗卫生系统诊断治疗延迟研究领域所关注的现状、热点及发展趋势。方法以"tuberculosis delay"为检索词对Web of Science核心数据库1979—2019年结核病延迟领域的文献进行检索及初步分析,共检索到相关文献551篇,剔除编辑素材、书籍、会议摘要及其他与本研究无关的文献,得到可供分析的文献427篇。利用CiteSpace软件对该领域研究国家、高被引期刊、高频关键词等进行可视化分析,基于中介中心性衡量研究国家及高频关键词的重要程度。结果 1979—2019年,结核病延迟研究领域的文献数量逐渐升高,发文量从1979年的1篇上升至2019年的40篇;其中2008—2019年每年发文量均≥15篇。结核病延迟的研究国家主要集中在美国、中国、英国、法国,发文量分别为86篇(20.1%,86/427)、35篇(8.2%,35/427)、35篇(8.2%,35/427)、21篇(4.9%,21/427)。中心性排名前三位的国家分别为英国(0.41)、荷兰(0.39)、美国(0.24)。根据关键词聚类分析,"结核病患者就诊延迟""结核病医疗卫生系统诊断治疗延迟"及"延迟性别差异"是该领域的3大研究热点,频次分别为29、19及26。结论结核病患者就诊延迟及医疗卫生系统诊断治疗延迟研究的起步较晚,近10年的研究热度处于较高水平,发达国家在该领域中心性较高。
BackgroundThe application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitat...
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BackgroundThe application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research of utilizing artificial intelligence on electronic health records between the USA and China to discovery their research similarities and *** from both Web of Science and PubMed are retrieved to explore the research status and academic performances of the two countries quantitatively. Bibliometrics, geographic visualization, collaboration degree calculation, social network analysis, latent dirichlet allocation, and affinity propagation clustering are applied to analyze research quantity, collaboration relations, and hot research *** are 1031 publications from the USA and 173 publications from China during 2008-2017 period. The annual numbers of publications from the USA and China increase polynomially. JAMIA with 135 publications and JBI with 13 publications are the top prolific journals for the USA and China, respectively. Harvard University with 101 publications and Zhejiang University with 12 publications are the top prolific affiliations for the USA and China, respectively. Massachusetts is the most prolific region with 211 publications for the USA, while for China, Taiwan is the top 1 with 47 publications. China has relatively higher institutional and international collaborations. Nine main research areas for the USA are identified, differentiating 7 for *** is a steadily growing presence and increasing visibility of utilizing artificial intelligence on electronic health records for the USA and China over the years. The results of the study demonstrate the research similarities and differences, as well as strengths and weaknesses of the two countries.
Background: The language encompassing health conditions can also influence behaviors that affect health outcomes. Few published quantitative studies have been conducted that evaluate HIV-related terminology changes ov...
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Background: The language encompassing health conditions can also influence behaviors that affect health outcomes. Few published quantitative studies have been conducted that evaluate HIV-related terminology changes over time. To expand this research, this study included an analysis of a dataset of abstracts presented at the International AIDS conference (IAC) from 1989 to 2014. These abstracts reflect the global response to HIV over 25 years. Two powerful methodologies were used to evaluate the dataset: text mining to convert the unstructured information into structured data for analysis and datavisualization to represent the data visually to assess trends. Objective: The purpose of this project was to evaluate the evolving use of HIV-related language in abstracts presented at the IAC from 1989 to 2014. Methods: Over 80,000 abstracts were obtained from the International AIDS Society and imported into a Microsoft SQL Server database for data processing and text mining analyses. A text mining module within the KNIME Analytics Platform, an open source software, was then used to mine the partially processed data to create a terminology corpus of key HIV terms. Subject matter experts grouped the terms into categories. Tableau, a datavisualization software, was used to visualize the frequency metrics associated with the terms as line graphs and word clouds. The visualized dashboards were reviewed to discern changes in terminology use across IAC years. Results: The major findings identify trends in HIV-related terminology over 25 years. The term "AIDS epidemic" was dominantly used from 1989 to 1991 and then declined in use. In contrast, use of the term "HIV epidemic" increased through 2014. Beginning in the mid-1990s, the term "treatment experienced" appeared with increasing frequency in the abstracts. Use of terms identifying individuals as "carriers or victims" of HIV rarely appeared after 2008. Use of the terms "HIV positive" and "HIV infected" peaked in the early-199
In order to get the development of status in the field of big data research on international, and to identify the hotspots and frontiers of this field during 2012 and 2017. This paper draw the visualization mapping of...
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ISBN:
(纸本)9781538680988;9781538680971
In order to get the development of status in the field of big data research on international, and to identify the hotspots and frontiers of this field during 2012 and 2017. This paper draw the visualization mapping of the literatures involved in this field by Cites pace and VOSviewer and analyzed the result mapping furtherly. This paper took 4,569 literatures related to the big data research, which were included in the core collection of Web of Science during 2012 and 2017. This paper fully integrated the advantage of Citespace and VOSviewer visualization tool. And its result mapping was carried on the comprehensive analysis of the co-citation network and the co-occurrence network. As a new research field, scholars' attention to big data research had been increasing year by year. The "Computer Science, Information Systems" and other 5 subject categories had become the core subject categories in the field of big data research. The most influential country was USA, followed by Peoples R China, England, Australia and Canada. The most influential institution was Chinese Academic Science. (Dean J, 2008) and other highly cited literatures constructed the knowledge base of this research field. "Big data Research" and other 8 subject clusters were the hot spots and the frontiers of big data research. There were some core literatures were identified in each subject cluster displaying the research content in this field furtherly.
Molecular biology produces and accumulates huge amounts of data that are generally integrated within graphs of molecules linked by various interactions. Exploring potentially interesting substructures (clusters, motif...
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ISBN:
(纸本)9783319592718;9783319592701
Molecular biology produces and accumulates huge amounts of data that are generally integrated within graphs of molecules linked by various interactions. Exploring potentially interesting substructures (clusters, motifs) within such graphs requires proper abstraction and visualization methods. Most layout techniques (edge and nodes spatial organization) prove insufficient in this case. Royer et al. introduced in 2008 Power graph analysis, a dedicated program using classes of nodes with similar properties and classes of edges linking node classes to achieve a lossless graph compression. The contributions of this paper are twofold. First, we formulate and study this issue in the framework of Formal Concept analysis. This leads to a generalized view of the initial problem offering new variants and solving approaches. Second, we state the FCA modeling problem in a logical setting, Answer Set programming, which provides a great flexibility for the specification of concept search spaces.
Building Information Modeling (BIM) has gained rapid development and received broad worldwide attention among researchers and architects. To grasp the research progress of BIM is of great significance for researchers ...
Building Information Modeling (BIM) has gained rapid development and received broad worldwide attention among researchers and architects. To grasp the research progress of BIM is of great significance for researchers and enterprises engaged in BIM related studies and plotted a science knowledge map by with the visualization tool CiteSpace, and used biliometric analysis to compare BIM studies published from 2008 to 2018 in China and abroad from three perspectives: knowledge base, research hotspot and evolutional trend. The research result shows that BIM studies abroad focus on interdisciplinary fields, but Chinese BIM studies focus more on application of BIM technologies in actual projects. Research on integration of BIM with Internet, big data, cloud computing and other information technologies is bound to become a new research trend of BIM in China.
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