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Blockchain application in healthcare service mode based on Health Data Bank
Jianxia GONG, Lindu ZHAO
《工程管理前沿(英文)》 2020年 第7卷 第4期 页码 605-614 doi: 10.1007/s42524-020-0138-9
关键词: Health Data Bank blockchain data assets smart contract incentive mechanism
A review of systematic evaluation and improvement in the big data environment
Feng YANG, Manman WANG
《工程管理前沿(英文)》 2020年 第7卷 第1期 页码 27-46 doi: 10.1007/s42524-020-0092-6
关键词: big data evaluation methods systematic improvement big data analytic techniques data mining
《环境科学与工程前沿(英文)》 2023年 第17卷 第8期 doi: 10.1007/s11783-023-1694-0
● Data quality assessment criteria for MP/NPs in food products were developed.
关键词: Microplastic Nanoplastic Food products Data quality Human health risk
Challenges to Engineering Management in the Big Data Era
Yong Shi
《工程管理前沿(英文)》 2015年 第2卷 第3期 页码 293-303 doi: 10.15302/J-FEM-2015042
关键词: big data data science intelligent knowledge engineering management real-life applications
孙志燕,施戍杰
《中国工程科学》 2020年 第22卷 第1期 页码 25-31 doi: 10.15302/J-SSCAE-2020.01.004
秦巴山区是我国11 个连片贫困区之一且生态价值极为突出,区域实现更高质量发展具有重要意义。本文在系统调研区域内地级市经济社会发展情况的基础上,重点对环秦巴山区域不同发展水平的城市空间相关性、产业结构的相似度进行定量分析。结果表明,区域内中心城市的辐射带动作用较弱,与贫困落后地区尚未形成联动发展;区域内产业高度同质化成为制约内生经济增长动力的瓶颈因素;基于行政区的发展模式使得区域的生态屏障功能被过度“碎片化”,导致区域生态环境压力加大。建议着眼于秦巴山脉生态系统的整体性,转变发展理念,突破一地一域的行政限制和条块分割,加强国家层面的顶层设计和战略引导,以“协同”为核心来推动区域更高质量发展。
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG
《工程管理前沿(英文)》 2017年 第4卷 第1期 页码 41-48 doi: 10.15302/J-FEM-2017003
关键词: engineering management project management big data data analytics planning execution
Special issue: Innovative applications of big data and artificial intelligence
《工程管理前沿(英文)》 2022年 第9卷 第4期 页码 517-519 doi: 10.1007/s42524-022-0234-0
Anensemble method for data stream classification in the presence of concept drift
Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI
《信息与电子工程前沿(英文)》 2015年 第16卷 第12期 页码 1059-1068 doi: 10.1631/FITEE.1400398
关键词: Data stream Classificaion Ensemble classifiers Concept drift
Nicolas MUNIER-JOLAIN, Martin LECHENET
《农业科学与工程前沿(英文)》 2020年 第7卷 第1期 页码 21-27 doi: 10.15302/J-FASE-2019292
Redesigning cropping and farming systems to enhance their sustainability is mainly addressed in scientific studies using experimental and modeling approaches. Large data sets collected from real farms allow for the development of innovative methods to produce generic knowledge. Data mining methods allow for the diversity of systems to be considered holistically and can take into account the diversity of production contexts to produce site-specific results. Based on the very few known studies using such methods to analyze the crop management strategies affecting pesticide use and their effect on farm performance, we advocate further investment in the development of large data sets that can support future research programs on farming system design.
关键词: data mining holistic Integrated Pest Management economics DEPHY network.
《能源前沿(英文)》 doi: 10.1007/s11708-023-0912-6
关键词: model predictive control interconnected data center multi-timescale optimized scheduling distributed power supply landscape uncertainty
Big data and machine learning: A roadmap towards smart plants
《工程管理前沿(英文)》 页码 623-639 doi: 10.1007/s42524-022-0218-0
关键词: big data machine learning artificial intelligence smart sensor cyber–physical system Industry 4.0 intelligent system digitalization
石庆焱,周晶
《中国工程科学》 2017年 第19卷 第4期 页码 67-73 doi: 10.15302/J-SSCAE-2017.04.011
构建生态文明统计核算体系是生态文明建设的基础性工作,可为生态文明建设进程的监测、评估和决策提供可靠的数据支撑。虽然我国目前已有一定的资源环境统计基础,但由于缺少生态文明统计核算的顶层设计,因此无法将这些数据有效整合于统一框架。本文从生态文明建设的实际需求出发,分析了我国在生态文明统计核算中存在的问题,在结合SEEA2012–CF的基础上构建了我国生态文明统计指标体系和核算框架,并就进一步完善我国生态文明统计核算体系提出建议。
Clinical research of traditional Chinese medicine in big data era
null
《医学前沿(英文)》 2014年 第8卷 第3期 页码 321-327 doi: 10.1007/s11684-014-0370-y
With the advent of big data era, our thinking, technology and methodology are being transformed. Data-intensive scientific discovery based on big data, named “The Fourth Paradigm,” has become a new paradigm of scientific research. Along with the development and application of the Internet information technology in the field of healthcare, individual health records, clinical data of diagnosis and treatment, and genomic data have been accumulated dramatically, which generates big data in medical field for clinical research and assessment. With the support of big data, the defects and weakness may be overcome in the methodology of the conventional clinical evaluation based on sampling. Our research target shifts from the “causality inference” to “correlativity analysis.” This not only facilitates the evaluation of individualized treatment, disease prediction, prevention and prognosis, but also is suitable for the practice of preventive healthcare and symptom pattern differentiation for treatment in terms of traditional Chinese medicine (TCM), and for the post-marketing evaluation of Chinese patent medicines. To conduct clinical studies involved in big data in TCM domain, top level design is needed and should be performed orderly. The fundamental construction and innovation studies should be strengthened in the sections of data platform creation, data analysis technology and big-data professionals fostering and training.
关键词: big data traditional Chinese medicine clinical evaluation evidence based medicine
Appreciating the role of big data in the modernization of environmental governance
《工程管理前沿(英文)》 2022年 第9卷 第1期 页码 163-169 doi: 10.1007/s42524-021-0185-x
A building-based data capture and data mining technique for air quality assessment
Ni SHENG, U Wa TANG
《环境科学与工程前沿(英文)》 2011年 第5卷 第4期 页码 543-551 doi: 10.1007/s11783-011-0369-4
关键词: traffic air pollution spatial distribution high resolution geographic information system
标题 作者 时间 类型 操作
Blockchain application in healthcare service mode based on Health Data Bank
Jianxia GONG, Lindu ZHAO
期刊论文
A review of systematic evaluation and improvement in the big data environment
Feng YANG, Manman WANG
期刊论文
Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?
期刊论文
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG
期刊论文
Anensemble method for data stream classification in the presence of concept drift
Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI
期刊论文
Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level
Nicolas MUNIER-JOLAIN, Martin LECHENET
期刊论文
Multi-timescale optimization scheduling of interconnected data centers based on model predictive control
期刊论文