BACKGROUND： The monosialoganglioside （GM1） is a popular topic of research but the bibliometric analysis of GM1 over the decades in Science Citation Index-Expanded （SCI-E） remains poorly understood. OBJECTIVE： To...BACKGROUND： The monosialoganglioside （GM1） is a popular topic of research but the bibliometric analysis of GM1 over the decades in Science Citation Index-Expanded （SCI-E） remains poorly understood. OBJECTIVE： To identify the global research and to improve the understanding of research trends in the GM1 field from 1942 to 2011. DESIGN： A bibliometric study. DATA RETRIEVAL： We performed a bibliometric analysis based on the SCI-E published by the Institute of Scientific Information. INCLUSIVE CRITERIA： Articles closely related to GM1 were included. Exclusive criteria： （1） Articles related to gangliosidosis, disialo-ganglioside, trisialo-ganglioside or ganglioside GQIb. （2） Document types such as meeting abstracts, reviews, proceedings papers, notes, and letters. MAIN OUTCOME MEASURES： （1） Type of publication output; （2） number of author outputs; （3） distribution of output in subject categories; （4） publication distribution of countries; （5） distribution of output in journals, and （6） distribution of citations in each decade. RESULTS： During 1942 to 2011, there were 10 126 papers on GM1 that were added to the SCI. Articles （8 004） were the most frequently used document type comprising 79.0%, followed by meeting abstracts, reviews and proceedings papers. Research on GM1 could be found in the SCI from 1942, it was developed in the 1970s, greatly increased in the 1980s, and reached a peak in the 1990s, and it was slightly decreased in 2000. The distribution of subject categories showed that GM1 research covered both clinical and basic science research. The USA, Japan, and Germany were the three most productive countries, and the publication numbers in the USA were highest in all decades. The Joumal of Biological Chemistry, Journal of Neurochemistry and Biochemistry were core subject journals in GM1 studies in each decade. CONCLUSION： This study highlights the topics in GM1 research that are being published around the world.展开更多
目的对现有脑卒中患者衰弱评估工具进行范围综述,为脑卒中患者衰弱评估工具的选择提供参考。方法系统化检索PubMed、Web of Science、EMbase、SinoMed、万方、维普、知网数据库,检索时间为建库至2023年5月,筛选符合研究目的和研究问题...目的对现有脑卒中患者衰弱评估工具进行范围综述,为脑卒中患者衰弱评估工具的选择提供参考。方法系统化检索PubMed、Web of Science、EMbase、SinoMed、万方、维普、知网数据库,检索时间为建库至2023年5月,筛选符合研究目的和研究问题的文献,并提取每篇文献的基本信息,包括第一作者、发表年份、发表国家、研究设计类型、评估工具名称、量表维度、条目数、评估时间等。结果本研究共检索出1729篇文献,经多重筛选后最终纳入22篇文献(共包含8种衰弱评估工具)。分析结果显示,8种衰弱评估工具的评估指标、评估时间和评估方法等各不相同,且各有优缺点,其中衰弱指数是最常用的脑卒中患者衰弱评估工具。选择有效的衰弱评估工具对脑卒中患者进行衰弱筛查,对加强卒中前风险分层和改善卒中后结局至关重要。结论不同衰弱评估工具之间差异较大,且现有评估工具在衡量脑卒中患者衰弱方面均存在局限性,需结合临床医生的经验和判断进行综合评估。未来的研究需进一步深入探寻和开发新的衰弱评估工具,以更好地指导脑卒中患者的康复治疗和管理。展开更多
This paper focuses on facilitating state-of-the-art applications of big data analytics(BDA) architectures and infrastructures to telecommunications(telecom) industrial sector.Telecom companies are dealing with terabyt...This paper focuses on facilitating state-of-the-art applications of big data analytics(BDA) architectures and infrastructures to telecommunications(telecom) industrial sector.Telecom companies are dealing with terabytes to petabytes of data on a daily basis. Io T applications in telecom are further contributing to this data deluge. Recent advances in BDA have exposed new opportunities to get actionable insights from telecom big data. These benefits and the fast-changing BDA technology landscape make it important to investigate existing BDA applications to telecom sector. For this, we initially determine published research on BDA applications to telecom through a systematic literature review through which we filter 38 articles and categorize them in frameworks, use cases, literature reviews, white papers and experimental validations. We also discuss the benefits and challenges mentioned in these articles. We find that experiments are all proof of concepts(POC) on a severely limited BDA technology stack(as compared to the available technology stack), i.e.,we did not find any work focusing on full-fledged BDA implementation in an operational telecom environment. To facilitate these applications at research-level, we propose a state-of-the-art lambda architecture for BDA pipeline implementation(called Lambda Tel) based completely on open source BDA technologies and the standard Python language, along with relevant guidelines.We discovered only one research paper which presented a relatively-limited lambda architecture using the proprietary AWS cloud infrastructure. We believe Lambda Tel presents a clear roadmap for telecom industry practitioners to implement and enhance BDA applications in their enterprises.展开更多
文摘BACKGROUND： The monosialoganglioside （GM1） is a popular topic of research but the bibliometric analysis of GM1 over the decades in Science Citation Index-Expanded （SCI-E） remains poorly understood. OBJECTIVE： To identify the global research and to improve the understanding of research trends in the GM1 field from 1942 to 2011. DESIGN： A bibliometric study. DATA RETRIEVAL： We performed a bibliometric analysis based on the SCI-E published by the Institute of Scientific Information. INCLUSIVE CRITERIA： Articles closely related to GM1 were included. Exclusive criteria： （1） Articles related to gangliosidosis, disialo-ganglioside, trisialo-ganglioside or ganglioside GQIb. （2） Document types such as meeting abstracts, reviews, proceedings papers, notes, and letters. MAIN OUTCOME MEASURES： （1） Type of publication output; （2） number of author outputs; （3） distribution of output in subject categories; （4） publication distribution of countries; （5） distribution of output in journals, and （6） distribution of citations in each decade. RESULTS： During 1942 to 2011, there were 10 126 papers on GM1 that were added to the SCI. Articles （8 004） were the most frequently used document type comprising 79.0%, followed by meeting abstracts, reviews and proceedings papers. Research on GM1 could be found in the SCI from 1942, it was developed in the 1970s, greatly increased in the 1980s, and reached a peak in the 1990s, and it was slightly decreased in 2000. The distribution of subject categories showed that GM1 research covered both clinical and basic science research. The USA, Japan, and Germany were the three most productive countries, and the publication numbers in the USA were highest in all decades. The Joumal of Biological Chemistry, Journal of Neurochemistry and Biochemistry were core subject journals in GM1 studies in each decade. CONCLUSION： This study highlights the topics in GM1 research that are being published around the world.
文摘目的对现有脑卒中患者衰弱评估工具进行范围综述,为脑卒中患者衰弱评估工具的选择提供参考。方法系统化检索PubMed、Web of Science、EMbase、SinoMed、万方、维普、知网数据库,检索时间为建库至2023年5月,筛选符合研究目的和研究问题的文献,并提取每篇文献的基本信息,包括第一作者、发表年份、发表国家、研究设计类型、评估工具名称、量表维度、条目数、评估时间等。结果本研究共检索出1729篇文献,经多重筛选后最终纳入22篇文献(共包含8种衰弱评估工具)。分析结果显示,8种衰弱评估工具的评估指标、评估时间和评估方法等各不相同,且各有优缺点,其中衰弱指数是最常用的脑卒中患者衰弱评估工具。选择有效的衰弱评估工具对脑卒中患者进行衰弱筛查,对加强卒中前风险分层和改善卒中后结局至关重要。结论不同衰弱评估工具之间差异较大,且现有评估工具在衡量脑卒中患者衰弱方面均存在局限性,需结合临床医生的经验和判断进行综合评估。未来的研究需进一步深入探寻和开发新的衰弱评估工具,以更好地指导脑卒中患者的康复治疗和管理。
基金supported in part by the Big Data Analytics Laboratory(BDALAB)at the Institute of Business Administration under the research grant approved by the Higher Education Commission of Pakistan(www.hec.gov.pk)the Darbi company(www.darbi.io)
文摘This paper focuses on facilitating state-of-the-art applications of big data analytics(BDA) architectures and infrastructures to telecommunications(telecom) industrial sector.Telecom companies are dealing with terabytes to petabytes of data on a daily basis. Io T applications in telecom are further contributing to this data deluge. Recent advances in BDA have exposed new opportunities to get actionable insights from telecom big data. These benefits and the fast-changing BDA technology landscape make it important to investigate existing BDA applications to telecom sector. For this, we initially determine published research on BDA applications to telecom through a systematic literature review through which we filter 38 articles and categorize them in frameworks, use cases, literature reviews, white papers and experimental validations. We also discuss the benefits and challenges mentioned in these articles. We find that experiments are all proof of concepts(POC) on a severely limited BDA technology stack(as compared to the available technology stack), i.e.,we did not find any work focusing on full-fledged BDA implementation in an operational telecom environment. To facilitate these applications at research-level, we propose a state-of-the-art lambda architecture for BDA pipeline implementation(called Lambda Tel) based completely on open source BDA technologies and the standard Python language, along with relevant guidelines.We discovered only one research paper which presented a relatively-limited lambda architecture using the proprietary AWS cloud infrastructure. We believe Lambda Tel presents a clear roadmap for telecom industry practitioners to implement and enhance BDA applications in their enterprises.
