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Determination of aniline derivatives in water samples after preconcentration with oxidized multiwalled

Hideyuki KATSUMATA, Yuta ODA, Satoshi KANECO, Tohru SUZUKI, Kiyohisa OHTA

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 3,   Pages 270-275 doi: 10.1007/s11705-012-1298-x

Abstract: derivatives, such as 2-nitroaniline (2-NA), 4-nitroaniline (4-NA), and 2,4-dichloroaniline (2,4-DCA) in waterOur method was successfully applied to the determination of aniline compounds in river water sample with

Keywords： aniline determination     solid-phase extraction     oxidized multiwalled carbon nanotubes     water sample     HPLC-UV    

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Permeability testing of drilling core sample from pavement

WANG Suda, TANG Zhengguang, NING Xiaojun, WU Peiguan, XING Pingyi

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 391-394 doi: 10.1007/s11709-008-0045-3

Abstract: New equipment is used to measure the permeability coefficient of the pavement drilling core sample and

Keywords： province     material     feasible     permeability coefficient     equipment    

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Air bearing center cross gap of neutron stress spectrometer sample table support system

Yang LI,Yunxin WU,Hai GONG,Xiaolei FENG

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 403-411 doi: 10.1007/s11465-016-0405-y

Abstract:

A support system is the main load-bearing component of sample table for neutron stress spectrometerThe neutron stress spectrometer sample table was introduced, and the scheme for air bearing combination

Keywords： neutron stress spectrometer     sample table     support system     air bearing     center cross gap     simulation     experiment    

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A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 338-347 doi: 10.15302/J-FEM-2017032

Abstract: Deterministic equivalent model with nonanticipativity constraints, branch-and-fix coordination, sample

Keywords： supply chain network     stochastic demand     sampling average approximation     Bayesian bootstrap     Latin hypercube sampling    

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Management innovation of Chang’e-5 project

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 620-626 doi: 10.1007/s42524-021-0165-1

Keywords： lunar exploration     sample return     systems engineering     project management    

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Detailed analysis of PCBs and PCDD/Fs impurities in a dielectric oil sample (ASKAREL Nr 1740) from an

Jun HUANG, Yamei HUI, Toru MATSUMURA, Gang YU, Shubo DENG, Makoto YAMAUCHI, Changmin WU, Norimasa YAMAZAKI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 195-204 doi: 10.1007/s11783-013-0527-y

Abstract: High similarity in the homolog profile between the oil sample and Aroclor 1260 was found, with the hexachlorinated

Keywords： profiles of polychlorinated biphenyls (PCBs)     polychlorinated dibenzo-p-dioxins (PCDDs)     polychlorinated dibenzofurans (PCDFs)     Askarel transformer     insulating fluid    

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Dynamic behavior of stormwater quality parameters in South Texas

Xubin PAN, Jingyi ZHANG, Wei-Ta FANG, Kim D. JONES

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 825-830 doi: 10.1007/s11783-012-0465-0

Abstract: To control water impairment in urban stormwater, it is important to evaluate changing patterns of waterThus, the authors performed a series of experiments to investigate the dynamics of common water parametersMulti-sample per-event approaches recommended based on the complexity of the hydrograph and different

Keywords： event mean concentration     first flush     multi-sample per event     ecohydrology    

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Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study Article

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 156-163 doi: 10.1016/j.eng.2018.11.018

Abstract: of labeled samples, which restricts the application of deep learning in an environment with a small sampleThe GAN was trained with the training set to generate synthetic sample data, which enlarged the trainingtested with the test set, and the effectiveness of the approach for multi-classification with a small sampleempirical case, the approach was then applied to identify the stages of cancers with a small labeled sample

Keywords： Artificial intelligence     Generative adversarial network     Deep neural network     Small sample size     Cancer    

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Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract:

Ways for detecting and moderating sample bias

Keywords： Social media     Human mobility     Population bias     Sample reconstruction     Data integration    

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Experimental research of rust removed by flowing sodium

Liu Zejun,Sun Shuha

Strategic Study of CAE 2012, Volume 14, Issue 11,   Pages 99-102

Abstract:

It was found that there were badly oxidation phenomena in a superheater and a evaporator of CEFR's steam generators when they were being installed. So a static immersion test had been finished firstly by the sodium technology department of CEFR to investigate how to removing the rust from the CEFR's steam generators. But the site condition of CEFR's steam generators can not achieve the ndition of the means of removing rust only by static immersion. We decided to do the test of removing rust by flowing sodium of the samples of CEFR’ s steam generators to investigate behavior of the oxidation surface of CEFR's steam generators in the flowing sodium. The test would provide the testing foundation for the work of removing rust by flowing sodium on CEFR site. The test has utilized a mini-loop of sodium—“sodium loop for characteristic test of PEC's electromagnetism pump ” and simulated the work condition of CEFR's steam generators. Through the comparison between the photos of the samples which are before and after the test, the results about effect of removing rust of the samples under different conditions have been reached. These would provide the esting foundation for the work of removing rust by flowing sodium of CEFR’s steam generators.

Keywords： steam generator     sample     oxidation     removing rust by flowing sodium    

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Structrue innovation for quantitative transfer of viscous liquid in sample pretreatment device

Cao Guozhong,Tan Runhua,Zhang Peng,Yang Zhiyan

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 30-35

Abstract: text-align: justify;">To solve the problem that quantitative transfer of viscous liquid between tanks in the sampleThe composition of sample pretreatment device and their relationship are analyzed from the system pointFinally, the principle solution to realize quantitative transfer of viscous liquid in sample pretreatment

Keywords： TRIZ     TOC     pretreatment device     improvement design    

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Research on the Forecast of the BP Neural Network Based on the Orthogonal Test

Cai Anhui,Liu Yonggang,Sun Guoxiong

Strategic Study of CAE 2003, Volume 5, Issue 7,   Pages 67-71

Abstract: The self-contained orthogonal sample was the basic training and studying cell.On the same test condition and orthogonal test type, the self-contained orthogonal sample with largeNamely, the self-contained orthogonal sample was obtained through the orthogonal test, and then, thevalues of all other samples whose factors were the same as that of the self-contained orthogonal sample

Keywords： BP neural network     orthogonal test     strategy     design-test approach     sample collection    

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Intelligence Traditional Chinese Medicine Diagnosis and Treatment Model Based on Syndrome Elements and Small-Sample

Jie Wang, Lian Duan, Hongzheng Li, Jinlei Liu, Hengwen Chen

Engineering 2022, Volume 8, Issue 1,   Pages 29-32 doi: 10.1016/j.eng.2021.06.014

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Development of Deep-Sea Biological Resources Exploitation Equipment

Feng Jingchun, Liang Jianzhen, Zhang Si, Yang Zhifeng, Zhu Zhenchang

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 67-75 doi: 10.15302/J-SSCAE-2020.06.009

Abstract:

The extreme environment in the deep sea gave birth to the largest ecosystem in the world that is far from known. The deepsea environment possesses a huge amount of biological resources with special functions. Exploitation equipment plays an important role in promoting the green, safe, and orderly development of the deep-sea biological resources. To clarify the characteristics and technical challenges of the equipment for deep-sea biological resources exploitation and explore its development directions and focus, we investigate the technical requirements of deep-sea biological resources exploitation, introduce the current status of the deep-sea biological resource exploitation equipment, and analyzes the challenges faced in the development of these equipment. To overcome the difficulties such as lack of unified standards, shortage of testing platforms, and deficiency in technology transformation, we propose several suggestions from the perspective of innovation system, general technology, transformation platform, and international cooperation, hoping to contribute to the sustainable development of the deep-sea biological resources from the equipment development perspective.

Keywords： deep sea     biological resources     in situ observation     sample     in situ experiment    

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Title Author Date Type Operation

Determination of aniline derivatives in water samples after preconcentration with oxidized multiwalled

Hideyuki KATSUMATA, Yuta ODA, Satoshi KANECO, Tohru SUZUKI, Kiyohisa OHTA

Journal Article

Permeability testing of drilling core sample from pavement

WANG Suda, TANG Zhengguang, NING Xiaojun, WU Peiguan, XING Pingyi

Journal Article

Air bearing center cross gap of neutron stress spectrometer sample table support system

Yang LI,Yunxin WU,Hai GONG,Xiaolei FENG

Journal Article

A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Journal Article

Management innovation of Chang’e-5 project

Journal Article

Detailed analysis of PCBs and PCDD/Fs impurities in a dielectric oil sample (ASKAREL Nr 1740) from an

Jun HUANG, Yamei HUI, Toru MATSUMURA, Gang YU, Shubo DENG, Makoto YAMAUCHI, Changmin WU, Norimasa YAMAZAKI

Journal Article

Dynamic behavior of stormwater quality parameters in South Texas

Xubin PAN, Jingyi ZHANG, Wei-Ta FANG, Kim D. JONES

Journal Article

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Journal Article

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data

Yilan Cui, Xing Xie, Yi Liu

Journal Article

Experimental research of rust removed by flowing sodium

Liu Zejun,Sun Shuha

Journal Article

Structrue innovation for quantitative transfer of viscous liquid in sample pretreatment device

Cao Guozhong,Tan Runhua,Zhang Peng,Yang Zhiyan

Journal Article

Research on the Forecast of the BP Neural Network Based on the Orthogonal Test

Cai Anhui,Liu Yonggang,Sun Guoxiong

Journal Article

Intelligence Traditional Chinese Medicine Diagnosis and Treatment Model Based on Syndrome Elements and Small-Sample

Jie Wang, Lian Duan, Hongzheng Li, Jinlei Liu, Hengwen Chen

Journal Article

Development of Deep-Sea Biological Resources Exploitation Equipment

Feng Jingchun, Liang Jianzhen, Zhang Si, Yang Zhifeng, Zhu Zhenchang

Journal Article

Ju Xiaojie: New Functional Materials for Water Treatment and Water Detection (2022-4-16)

9 Jun 2022

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