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Recognition of Fluvial Bank Erosion Along the Main Stream of the Yangtze River Article

Ge Yan, Heqin Cheng, Zeyu Jiang, Lizhi Teng, Ming Tang, Tian Shi, Yuehua Jiang, Guoqiang Yang, Quanping Zhou

Engineering 2022, Volume 19, Issue 12,   Pages 50-61 doi: 10.1016/j.eng.2021.03.027

Abstract: geomorphons-based algorithm to extract river bank erosion information by adjusting the flatness from multibeamecho-sounding data.morphological elements and enhances the targeting of subaqueous signs and risks of bank failure with a range of multibeambathymetric data.

Keywords： Multibeam echo-sounding data     Morphological elements     Bank erosion     Bank scarp     Scour pits     Bank collapse    

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Incremental value of contrast echocardiography in the diagnosis of left ventricular noncompaction

Xiaoxiao Zhang,Li Yuan,Linli Qiu,Yali Yang,Qing Lv,Lin Li,Jing Wang,Lin He,Li Zhang,Xinfang Wang,Mingxing Xie,Xu Yu Jin

Frontiers of Medicine 2016, Volume 10, Issue 4,   Pages 499-506 doi: 10.1007/s11684-016-0473-8

Abstract:

Contrast echocardiography with left ventricular opacification (LVO) improves the definition of endocardium in two-dimensional echocardiography (2DE). This study was aimed to determine whether LVO offered added diagnostic value in noncompaction of left ventricular myocardium (NCVM). A total of 85 patients (40±20 years, 54 males) with suspected NCVM were subjected to transthoracic 2DE and LVO, and 40 healthy volunteers were examined with 2DE and assigned as control subjects. The location of NCVM, the thickness ratio of noncompacted to compacted myocardium (NCR), and the cavity size and ejection fraction of LV were quantified. Results revealed that NCVM was mainly located in the LV medium (53.2%), apical (46.2%) segments, and lateral wall (39.8%). The NCR obtained through LVO was greater than that detected through 2DE (4.2±1.3 vs. 3.3±1.2, P<0.001), and higher inter-correlations and less intra- and inter-observer variabilities were determined in the former than in the latter. The NCVM detection rates were also increased from 63.5% via 2DE to 83.5% via LVO and 89.4% via 2DE combined with LVO (2DE+ LVO) (P = 0.0004). The LV cavity size was greater and the LV ejection fraction (LVEF) was lower in the NCVM patients than in the control group (P<0.01). In the NCVM group, the LV cavity size was higher and the LVEF was lower in LVO than in 2DE (P<0.01). In conclusion, contrast echocardiography contributes significant sensitivity and reproducibility to routine transthoracic echocardiography in NCVM diagnosis. Therefore, this technique should be clinically performed to diagnose suspected NCVM.

Keywords： echocardiography     left ventricular noncompaction cardiomyopathy     echo contrast media    

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Wind profiler radar to monitor the dust weather

Wei Wenshou,Wang Minzhong,He Qing

Strategic Study of CAE 2012, Volume 14, Issue 10,   Pages 51-56

Abstract: Based on the wind profiler radar data obtained from this experiment, this paper analyzes the characteristicsvertical velocity of a breaking dust weather in a desert hinterland, calculates and gives the radar echoweather, and discusses the atmospheric dust counts/concentration derived from the wind profiler radar dataThe echo intensity of a blowing sand and dust storm weather episode in Taklimakan is about -3~10dBZ whilethat of floating dustis -15~-3 dBZ, indicating that the dust echo intensity is significantly weaker

Keywords： wind profiler radar     dust weather     echo intensity     monitoring    

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Microwave temperature sounding （MWTS） for FY-3 meteorology satellite

Chen Wenxin,Chi Jidong,Li Yanming and Li Hao

Strategic Study of CAE 2013, Volume 15, Issue 7,   Pages 88-91

Abstract:

The microwave temperature sounding (MWTS) is a multi-channel passive

Keywords： meteorology satellite     microwave radiometer     system design    

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data     evaluation methods     systematic improvement     big data analytic techniques     data mining    

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Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

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Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: as the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.and non-structured data into “structured format” and explores the relationship of data heterogeneity

Keywords： big data     data science     intelligent knowledge     engineering management     real-life applications    

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Miniaturized Rotman lens with applications to wireless communication Research Articles

Bao-hua SUN, Qiu-yan LIANG, Gao-nan ZHOU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 1,   Pages 144-158 doi: 10.1631/FITEE.1900501

Abstract: lens is a type of beamforming network with many advantages, such as true-time delay characteristic, multibeam

Keywords： Rotman lens     Miniaturization     Multibeam     Beamformer     Wireless communication    

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Study on theory and application of CE-1 microwave sounding lunar surface

iang Jingshan,Wang Zhenzhan,Li Yun

Strategic Study of CAE 2008, Volume 10, Issue 6,   Pages 16-22

Abstract: The further studies on lunar surface information reversion have been conducting by applying CELMS data

Keywords： CE-1 lunar microwave sounder (CELMS)     remote sensing     lunar regolith     microwave transfer model    

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Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: Data enabling technology plays an important role in modern scientific discovery and technologic advancementFactual data enables managers to measure, to understand their businesses, and to directly translate thatareas: 1) by making relevant historical data available to the manager at the time when it’s needed;2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful dataacquisition and data analytics.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

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Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 517-519 doi: 10.1007/s42524-022-0234-0

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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: One recent area of interest in computer science is data stream management and processing.By ‘data stream’, we refer to continuous and rapidly generated packages of data.Specific features of data streams are immense volume, high production rate, limited data processing time, and data concept drift; these features differentiate the data stream from standard types of data.An issue for the data stream is classification of input data.

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

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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

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intouse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energyIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centers

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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Title Author Date Type Operation

Recognition of Fluvial Bank Erosion Along the Main Stream of the Yangtze River

Ge Yan, Heqin Cheng, Zeyu Jiang, Lizhi Teng, Ming Tang, Tian Shi, Yuehua Jiang, Guoqiang Yang, Quanping Zhou

Journal Article

Incremental value of contrast echocardiography in the diagnosis of left ventricular noncompaction

Xiaoxiao Zhang,Li Yuan,Linli Qiu,Yali Yang,Qing Lv,Lin Li,Jing Wang,Lin He,Li Zhang,Xinfang Wang,Mingxing Xie,Xu Yu Jin

Journal Article

Wind profiler radar to monitor the dust weather

Wei Wenshou,Wang Minzhong,He Qing

Journal Article

Microwave temperature sounding （MWTS） for FY-3 meteorology satellite

Chen Wenxin,Chi Jidong,Li Yanming and Li Hao

Journal Article

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Miniaturized Rotman lens with applications to wireless communication

Bao-hua SUN, Qiu-yan LIANG, Gao-nan ZHOU

Journal Article

Study on theory and application of CE-1 microwave sounding lunar surface

iang Jingshan,Wang Zhenzhan,Li Yun

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

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

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article