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On Engineering Management Methodology

He Jishan,Xu Changshan,Wang Qinge,Guo Feng

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 4-9

Abstract:

In this paper, the framework system of engineering management methodologymethodology.The main methods of philosophical methodology of engineering management include seeking truth from factsThe general methodology of engineering management is represented by system science, information scienceThe main methods of the specific methodology of engineering management are composed of case study and

Keywords： engineering     management methodology     philosophical     methodology     general     methodology     specific     methodology    

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Research on the Giant and Complex Financial Information System Engineering Management from the Perspectiveof Meta-synthesis Methodology—with the Bank Card Information Exchange System Engineering as a Sample

Hong-feng Chai,Quan Sun

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 404-413 doi: 10.15302/J-FEM-2016037

Abstract: By integrating the meta-synthesis methodology and the financial information system engineering, the paperproposes basic principles and processes of the giant and complex financial information system engineering management

Keywords： financial information system     meta-synthesis methodology     bank card     information exchange    

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LIVESTOCK AND POULTRY MANURE MANAGEMENT FROM THE PERSPECTIVE OF CARBON NEUTRALITY IN CHINA

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 3,   Pages 341-362 doi: 10.15302/J-FASE-2023509

Abstract:

● Carbon reduction potential of manure treatment technologies was summarized.

Keywords： valorization of animal manure     manure management     carbon emission     carbon footprint     methodology     carbon    

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Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 221-236 doi: 10.1007/s11705-021-2061-y

Abstract: For utilizing such time-resolved data to model the dynamic behavior, dynamic response surface methodologyextents are modeled instead of the species concentrations, illustrates the versatility of the DRSM methodology

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization

Te Xu, Haifeng Jia, Zheng Wang, Xuhui Mao, Changqing Xu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0934-6

Abstract: Low impact development type of best management practices (LID-BMPs) aims to mitigate urban stormwaterloads in an economical and eco-friendly way and has become a global concern in modern urban stormwater managementA new methodology based on stormwater management model (SWMM) for block-scale LID-BMPs planning was developedA case study in Tianjin, China, was conducted to demonstrate the proposed methodology.

Keywords： Stormwater management     LID-BMPs planning     SWMM     LID-BMP chain     NSGA-II     Scenario analysis    

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of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 495-505 doi: 10.1007/s11708-013-0267-5

Abstract: This paper described the production of karanja biodiesel using response surface methodology (RSM) and

Keywords： optimization of karanja biodiesel     genetic algorithm (GA)     response surface methodology (RSM)     percentage    

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A “One Engine with Six Gears” System Engineering Methodology for the Economic Development of Unconventional Article

Guoxin Li,Chenggang Xian,He Liu

Engineering 2022, Volume 18, Issue 11,   Pages 105-115 doi: 10.1016/j.eng.2022.05.018

Abstract: The challenges of technology, cost, management, and methodology restrict large-scale and economic developmentBased on successful practices, a "one engine with six gears" system engineering methodologyis put forward, which includes life-cycle management, overall synergy, interdisciplinary cross-serviceintegration, marketoriented operation, socialized support, digitalized management, and low-carbon andThe required methodology transformation
includes a revolution in management systems to significantly

Keywords： Unconventional oil and gas resources     System engineering     Methodology transformation     Life-cycle management    

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Rethinking the tendering frameworks of construction contractors in the context of a soft systems methodology

Stephen URQUHART, Andrew WHYTE

Frontiers of Engineering Management 2018, Volume 5, Issue 3,   Pages 369-380 doi: 10.15302/J-FEM-2018019

Abstract: applied by some contractors, wherein some reviews stepped through several layers of internal senior managementA new way of presenting the ITP of contractors is assessed using a soft systems methodology (SSM) approach

Keywords： contractor     corporate governance     humanistic     risk     soft systems methodology     tendering procedures    

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Exploring the methodology and application of clinical pathway in evidence-based Chinese medicine

Sicheng Wang, He Yu, Jianping Liu, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 157-162 doi: 10.1007/s11684-011-0128-8

Abstract: explored the application of the clinical pathway of evidence-based Chinese medicine incorporated with the methodologyfrom the concepts of management, evidence-based medicine, operational research and health economics.

Keywords： evidence-based medicine     clinical pathway     methodology     concept     technical difficulty    

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Optimization of the O/HO process with response surface methodology for pretreatment of mother liquor

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1371-5

Abstract:

• Real ML-GFW with high salinity and high organics was degraded by O3/H2O2 process.

Keywords： High organic matters     Gas field wastewater     O3/H2O2     Response surface methodology    

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A conceptual methodology for simultaneous optimization of water and heat with non-isothermal mixing

Yanlong Hou, Wanni Xie, Zhenya Duan, Jingtao Wang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2,   Pages 154-165 doi: 10.1007/s11705-016-1593-z

Abstract: A new conceptual methodology is proposed to simultaneously integrate water allocation and energy networks

Keywords： simultaneous integration     non-isothermal mixing     multi-target optimization     water and energy networks    

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A highly efficient methodology for the preparation of

Yongxin Zhang, Shucheng Wang, Yaodong Huang

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 679-686 doi: 10.1007/s11705-020-1979-9

Abstract: Based on this methodology, the first total synthesis of 3,3′-[oxybis(methylene)]bis(9-methoxy-9 -carbazole

Keywords： N-methoxyl carbazole     dimeric N-methoxyl carbazole     alkaloid     total synthesis     double N-arylation of methoxyamine    

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Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4,   Pages 523-535 doi: 10.1007/s11705-021-2083-5

Abstract: Solubility has been widely regarded as a fundamental property of small molecule drugs and drug candidates, as it has a profound impact on the crystallization process. Solubility prediction, as an alternative to experiments which can reduce waste and improve crystallization process efficiency, has attracted increasing attention. However, there are still many urgent challenges thus far. Herein we used seven descriptors based on understanding dissolution behavior to establish two solubility prediction models by machine learning algorithms. The solubility data of 120 active pharmaceutical ingredients (APIs) in ethanol were considered in the prediction models, which were constructed by random decision forests and artificial neural network with optimized data structure and model accuracy. Furthermore, a comparison with traditional prediction methods including the modified solubility equation and the quantitative structure-property relationships model was carried out. The highest accuracy shown by the testing set proves that the ML models have the best solubility prediction ability. Multiple linear regression and stepwise regression were used to further investigate the critical factor in determining solubility value. The results revealed that the API properties and the solute-solvent interaction both provide a nonnegligible contribution to the solubility value.

Keywords： solubility prediction     machine learning     artificial neural network     random decision forests    

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diesel engine operating on different water in diesel emulsion fuels: optimization using response surface methodology

Seyed Saeed HOSEINI, Mohammad Amin SOBATI

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 636-657 doi: 10.1007/s11708-019-0646-7

Abstract: ) (in the range of 5–8) was examined using Box-Behnken design (BBD) as a subset of response surface methodology

Keywords： water in diesel emulsion fuel     hydrophilic-lipophilic balance (HLB)     response surface methodology (RSM)    

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Optimization of methyl orange removal from aqueous solution by response surface methodology using spent

Liangzhi LI,Xiaolin LI,Ci YAN,Weiqiang GUO,Tianyi YANG,Jiaolong FU,Jiaoyan TANG,Cuiying HU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 4,   Pages 496-502 doi: 10.1007/s11783-013-0578-0

Abstract: Then, the response surface methodology (RSM), based on Box–Behnken design, was employed to obtain the

Keywords： spent tea leaves     adsorption     response surface methodology     methyl orange (MO)    

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Title Author Date Type Operation

On Engineering Management Methodology

He Jishan,Xu Changshan,Wang Qinge,Guo Feng

Journal Article

Research on the Giant and Complex Financial Information System Engineering Management from the Perspectiveof Meta-synthesis Methodology—with the Bank Card Information Exchange System Engineering as a Sample

Hong-feng Chai,Quan Sun

Journal Article

LIVESTOCK AND POULTRY MANURE MANAGEMENT FROM THE PERSPECTIVE OF CARBON NEUTRALITY IN CHINA

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization

Te Xu, Haifeng Jia, Zheng Wang, Xuhui Mao, Changqing Xu

Journal Article

of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Journal Article

A “One Engine with Six Gears” System Engineering Methodology for the Economic Development of Unconventional

Guoxin Li,Chenggang Xian,He Liu

Journal Article

Rethinking the tendering frameworks of construction contractors in the context of a soft systems methodology

Stephen URQUHART, Andrew WHYTE

Journal Article

Exploring the methodology and application of clinical pathway in evidence-based Chinese medicine

Sicheng Wang, He Yu, Jianping Liu, Baoyan Liu

Journal Article

Optimization of the O/HO process with response surface methodology for pretreatment of mother liquor

Journal Article

A conceptual methodology for simultaneous optimization of water and heat with non-isothermal mixing

Yanlong Hou, Wanni Xie, Zhenya Duan, Jingtao Wang

Journal Article

A highly efficient methodology for the preparation of

Yongxin Zhang, Shucheng Wang, Yaodong Huang

Journal Article

Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients

Journal Article

diesel engine operating on different water in diesel emulsion fuels: optimization using response surface methodology

Seyed Saeed HOSEINI, Mohammad Amin SOBATI

Journal Article

Optimization of methyl orange removal from aqueous solution by response surface methodology using spent

Liangzhi LI,Xiaolin LI,Ci YAN,Weiqiang GUO,Tianyi YANG,Jiaolong FU,Jiaoyan TANG,Cuiying HU

Journal Article