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A guide to shortening the time from submission to publication in

Jiao Zhang, Xia Huang, Jiming Hao, John C. Crittenden

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-020-1231-3

Abstract: Authors want to publish their work as soon as possible. However, the manuscript processing time increases if the manuscript does not meet the journal requirements. Our analysis of manuscripts submitted to Frontiers of Environmental Science & Engineering from November 2018 to July 2019 shows that the processing time was increased up to 33 days because the manuscripts: (1) had inconsistent formatting of citations, references, and units, (2) exceeded the word limit, (3) were missing information such as the graphical abstract, (4) plagiarized other papers, and (5) had too many tables and figures. Herein, we explain how authors can avoid these issues and decrease the manuscript processing time.

Keywords： Manuscript Technical evaluation Technical review Return Time Reason Journal

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Change trend and reason analysis of point source pollution load of the Dianchi Lake Basin

He Jia,Xu Xiaomei,Chen Yunbo,Zhang Kunling,Li Yuexun,Li Zhongjie

Strategic Study of CAE 2010, Volume 12, Issue 6, Pages 75-79

Abstract: Lake basin increased from 1 542 t, 177 t and 13 t to 40 581 t, 5 193 t and 637 t, which was the main reason

Keywords： he Dianchi Lake point source pollution

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A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Strategic Study of CAE 2001, Volume 3, Issue 9, Pages 41-47

Abstract:

Using modern information technology and artificial intelligence to achieve the condition based maintenance and predictive maintenance is one of the important ways to reduce the production cost in the process industries. The real-time monitoring network and artificial intelligent diagnosis technology for mechanical-electric plant was outlined in this paper. The Ethernet and FDDI based real-time monitoring network developed for compressors and pumps in petrochemical plants was introduced briefly. The black-gray-white gathering diagnosis method was given for the first time on the bases of approach to fault mechanism and distinctive symptoms. The mechanical fault diagnosis expert system based on black-gray-white gathering distinguishing sieve method developed in this work yields satisfactory results in the engineering practice.

Keywords： plant diagnosis engineering real-time monitoring network artificial intelligent diagnosis first reason