This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-da- ta processing as batch-based, stream-based, graph-based, DAG-based, interactive-based, or visual-ba...This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-da- ta processing as batch-based, stream-based, graph-based, DAG-based, interactive-based, or visual-based according to the processing technique. We highlight the strengths and weaknesses of various big-data cloud processing techniques in order to help the big-data community select the appropri- ate processing technique. We also provide big data research challenges and future directions in aspect to transportation management systems.展开更多
There is a lack of high-quality,large-scale,real-world evidence from patients with metastatic colorectal cancer(mCRC),especially in China.It remains unclear whether efforts to improve the quality of care for mCRC woul...There is a lack of high-quality,large-scale,real-world evidence from patients with metastatic colorectal cancer(mCRC),especially in China.It remains unclear whether efforts to improve the quality of care for mCRC would improve patient survival outcomes in real-world practice.On the basis of an intelligent bigdata platform,we established a large-scale retrospective cohort of mCRC patients.We investigated the temporal changes in the systemic and local treatment(resection,ablation,or radiation to liver,lung,or extrahepatic and/or extrapulmonary metastases)patterns of mCRC,and whether these changes were associated with improved overall survival(OS)over time.Between July 2012 and December 2018,3403 eligible patients were included in this research.The median OS was 42.8 months(95%confidence interval(CI),40.7–46.6)for the entire cohort,25.6 months(95%CI,24.7–26.9)for those treated with systemic therapy only,and not reached(95%CI,78.6 months–not reached)for those receiving local therapy.The utility rate of local therapy increased continuously from 37.9%in 2012–2014 to 46.9%in 2017–2018.A dramatic increase in the utility rate of either cetuximab or bevacizumab was observed since 2017(39.9%,43.2%,and 60.3%in 2012–2014,2015–2016,and 2017–2018,respectively).Compared with 2012–2014,the OS of the entire population significantly improved in 2015–2016(hazard ratio(HR)=0.87(95%CI,0.78–0.99);P=0.034),but not for patients receiving systemic therapy only(HR=0.99(95%CI,0.86–1.14);P=0.889),whereas an improved OS was found in 2015–2018 for both the entire population(HR=0.75(95%CI,0.70–0.81);P<0.001)and for patients receiving systemic therapy only(HR=0.83(95%CI,0.77–0.91);P<0.001).In summary,the quality of care for mCRC,as indicated by the utility rate of targeted and local therapies,has been continuously improving over time in this study cohort,which is associated with continuously improving survival outcomes for these patients.展开更多
Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under...Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents(UGC).Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China,this study innovatively employed a big-data analysis technique,Tourism Sentiment Evaluation(TSE)model and proposed a new analysis framework integrating the“cognitive-affective”model with the gpp analysis of projected and perceived destination image to explore the destination image gap of Sanya It is found that Sanya's perceptive destination image is overall consistent with its official positioning;however,there also exist image gaps between the two groups in terms of the impact of festival events and tourists'attitude towards core scenic spots amongst others.This study's findings are discussed in light of their methodological,theoretical,and practical implications for destination positioning,marketing,and management.展开更多
Data governance is a subject that is becoming increasingly important in business and government. In fact, good governance data allows improved interactions between employees of one or more organizations. Data quality ...Data governance is a subject that is becoming increasingly important in business and government. In fact, good governance data allows improved interactions between employees of one or more organizations. Data quality represents a great challenge because the cost of non-quality can be very high. Therefore the use of data quality becomes an absolute necessity within an organization. To improve the data quality in a Big-Data source, our purpose, in this paper, is to add semantics to data and help user to recognize the Big-Data schema. The originality of this approach lies in the semantic aspect it offers. It detects issues in data and proposes a data schema by applying a semantic data profiling.展开更多
With the rapid development of the internet, internet of things, mobile internet, and cloud computing, the amount of data in circulation has grown rapidly. More social information has contributed to the growth of big d...With the rapid development of the internet, internet of things, mobile internet, and cloud computing, the amount of data in circulation has grown rapidly. More social information has contributed to the growth of big data, and data has become a core asset. Big data is challenging in terms of effective storage, efficient computation and analysis, and deep data mining. In this paper, we discuss the signif- icance of big data and discuss key technologies and problems in big-data analyties. We also discuss the future prospects of big-data analylics.展开更多
面向作物表型组大数据获取解析、作物种质资源表型鉴定等亟需高效率、智能化和低成本技术、装备及系统的问题,在系统梳理分析国内外农作物高通量表型平台相关技术产品研究现状的基础上,通过组织多学科的协同技术攻关,突破了作物表型组...面向作物表型组大数据获取解析、作物种质资源表型鉴定等亟需高效率、智能化和低成本技术、装备及系统的问题,在系统梳理分析国内外农作物高通量表型平台相关技术产品研究现状的基础上,通过组织多学科的协同技术攻关,突破了作物表型组大数据高通量获取和智能化解析中的关键技术难题,设计了具有自主知识产权的轻小敏捷型多传感器阵列、通用化成像单元和适用于多生境的固定式、移动式高通量表型平台装备,以及配套算法和软件平台,构建了农作物表型组大数据工厂成套技术装备体系。该体系由大田和设施作物高通量自主作业表型平台、室内器官和显微表型平台、大田和设施环境自动化种植管控设备、作物模型系统、数字孪生智慧管控平台和大数据计算服务中心等构成,可实现多生境、自动化、高通量、高效率、高精度的多源作物表型-环境数据协同采集,涵盖农作物群体、个体、器官和显微多重尺度,能够重建农林作物的三维形态结构并精准解析株型、产品、品质、抗性等表型组指标,是发展数字育种和智慧栽培的新一代信息化基础设施。农作物表型组大数据工厂技术装备体系创新了作物表型组大数据的产生、处理和服务模式,可为作物表型组理论技术的发展、基于AI for Science的平台化科研和工厂化的作物种质资源表型鉴定等提供体系化的技术装备支撑。展开更多
基金supported in part by the National Basic Research Program(973 Program,No.2015CB352400)NSFC under grant U1401258U.S NSF under grant CCF-1016966
文摘This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-da- ta processing as batch-based, stream-based, graph-based, DAG-based, interactive-based, or visual-based according to the processing technique. We highlight the strengths and weaknesses of various big-data cloud processing techniques in order to help the big-data community select the appropri- ate processing technique. We also provide big data research challenges and future directions in aspect to transportation management systems.
基金This study was supported by the grants from the National Natural Science Foundation of China(81930065)the Natural Science Foundation of Guangdong Province(2014A030312015)+1 种基金the Science and Technology Program of Guangdong(2019B020227002)the Science and Technology Program of Guangzhou(201904020046,201803040019,and 201704020228).
文摘There is a lack of high-quality,large-scale,real-world evidence from patients with metastatic colorectal cancer(mCRC),especially in China.It remains unclear whether efforts to improve the quality of care for mCRC would improve patient survival outcomes in real-world practice.On the basis of an intelligent bigdata platform,we established a large-scale retrospective cohort of mCRC patients.We investigated the temporal changes in the systemic and local treatment(resection,ablation,or radiation to liver,lung,or extrahepatic and/or extrapulmonary metastases)patterns of mCRC,and whether these changes were associated with improved overall survival(OS)over time.Between July 2012 and December 2018,3403 eligible patients were included in this research.The median OS was 42.8 months(95%confidence interval(CI),40.7–46.6)for the entire cohort,25.6 months(95%CI,24.7–26.9)for those treated with systemic therapy only,and not reached(95%CI,78.6 months–not reached)for those receiving local therapy.The utility rate of local therapy increased continuously from 37.9%in 2012–2014 to 46.9%in 2017–2018.A dramatic increase in the utility rate of either cetuximab or bevacizumab was observed since 2017(39.9%,43.2%,and 60.3%in 2012–2014,2015–2016,and 2017–2018,respectively).Compared with 2012–2014,the OS of the entire population significantly improved in 2015–2016(hazard ratio(HR)=0.87(95%CI,0.78–0.99);P=0.034),but not for patients receiving systemic therapy only(HR=0.99(95%CI,0.86–1.14);P=0.889),whereas an improved OS was found in 2015–2018 for both the entire population(HR=0.75(95%CI,0.70–0.81);P<0.001)and for patients receiving systemic therapy only(HR=0.83(95%CI,0.77–0.91);P<0.001).In summary,the quality of care for mCRC,as indicated by the utility rate of targeted and local therapies,has been continuously improving over time in this study cohort,which is associated with continuously improving survival outcomes for these patients.
基金supported by The Ministry of education of Humanities and Social Science Project(19YJAZH060)Study on Agglomeration Pattern,Development Quality And Spatial Optimization Of Urban Leisure Industry In Guangdong-Hong Kong-Macao Greater Bay Area,supported by Guangdong Philosophical and Social Sciences Project(GD20SQ21).
文摘Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents(UGC).Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China,this study innovatively employed a big-data analysis technique,Tourism Sentiment Evaluation(TSE)model and proposed a new analysis framework integrating the“cognitive-affective”model with the gpp analysis of projected and perceived destination image to explore the destination image gap of Sanya It is found that Sanya's perceptive destination image is overall consistent with its official positioning;however,there also exist image gaps between the two groups in terms of the impact of festival events and tourists'attitude towards core scenic spots amongst others.This study's findings are discussed in light of their methodological,theoretical,and practical implications for destination positioning,marketing,and management.
文摘Data governance is a subject that is becoming increasingly important in business and government. In fact, good governance data allows improved interactions between employees of one or more organizations. Data quality represents a great challenge because the cost of non-quality can be very high. Therefore the use of data quality becomes an absolute necessity within an organization. To improve the data quality in a Big-Data source, our purpose, in this paper, is to add semantics to data and help user to recognize the Big-Data schema. The originality of this approach lies in the semantic aspect it offers. It detects issues in data and proposes a data schema by applying a semantic data profiling.
文摘With the rapid development of the internet, internet of things, mobile internet, and cloud computing, the amount of data in circulation has grown rapidly. More social information has contributed to the growth of big data, and data has become a core asset. Big data is challenging in terms of effective storage, efficient computation and analysis, and deep data mining. In this paper, we discuss the signif- icance of big data and discuss key technologies and problems in big-data analyties. We also discuss the future prospects of big-data analylics.
文摘面向作物表型组大数据获取解析、作物种质资源表型鉴定等亟需高效率、智能化和低成本技术、装备及系统的问题,在系统梳理分析国内外农作物高通量表型平台相关技术产品研究现状的基础上,通过组织多学科的协同技术攻关,突破了作物表型组大数据高通量获取和智能化解析中的关键技术难题,设计了具有自主知识产权的轻小敏捷型多传感器阵列、通用化成像单元和适用于多生境的固定式、移动式高通量表型平台装备,以及配套算法和软件平台,构建了农作物表型组大数据工厂成套技术装备体系。该体系由大田和设施作物高通量自主作业表型平台、室内器官和显微表型平台、大田和设施环境自动化种植管控设备、作物模型系统、数字孪生智慧管控平台和大数据计算服务中心等构成,可实现多生境、自动化、高通量、高效率、高精度的多源作物表型-环境数据协同采集,涵盖农作物群体、个体、器官和显微多重尺度,能够重建农林作物的三维形态结构并精准解析株型、产品、品质、抗性等表型组指标,是发展数字育种和智慧栽培的新一代信息化基础设施。农作物表型组大数据工厂技术装备体系创新了作物表型组大数据的产生、处理和服务模式,可为作物表型组理论技术的发展、基于AI for Science的平台化科研和工厂化的作物种质资源表型鉴定等提供体系化的技术装备支撑。
