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| 1 | Molecular characterization of root exudates using Fourier transform ion cyclotron resonance mass spectrometry显示文摘The release of root exudates(REs) provides an important source of soil organic carbon. This work revealed the molecular composition of REs of different plant species including alfalfa( Medicago sativa L.), bean( Phaseolus vulgaris L.), barley( Hordeum vulgare L.), maize( Zea mays), wheat( Triticum aestivum L.), ryegrass( Lolium perenne L.) and pumpkin( Cucurbita maxima) using electrospray ionization coupled with Fourier transform ion cyclotron resonance mass spectrometry(ESI FT-ICR MS). The combination of positive ion mode( + ESI) and negative ion mode(-ESI) increased the number of the molecules detected by ESI FT-ICR MS, and a total of 8758 molecules were identified across all the samples. In detail, lipids and proteins and unsaturated hydrocarbons were more easily detected in + ESI mode, while aromatic compounds with high O/C were readily ionized in-ESI mode, and only 38% of the total assigned formulas were shared by -ESI and + ESI modes. Multivariate statistical analysis of the formulas indicated that the close related plants species secreted REs with similar molecular components. Moreover, the unsaturation degree and nitrogen content were the two key parameters able to distinguish the similarities and differences of molecular components of REs between plant species. The results provided a feasible analysis method for characterization of the molecular components of REs and for the first time characterized the molecular components of REs of a variety of plant species using ESI FT-ICR MS. | Yuexia Miao Jitao Lv Honglin Huang Dong Cao Shuzhen Zhang | 2020 | Journal of Environmental Sciences2020，32，12： | 2 |
| 2 | Wetting of polypropylene hollow fiber membrane contactors显示文摘 | Yuexia Lv Xinhai Yu Shan-Tung Tu Jinyue Yan Erik Dahlquist | 2010 | Journal of Membrane Science2010，，1： | 2 |
| 3 | Fabrication and characterization of superhydrophobic polypropylene hollow fiber membranes for carbon dioxide absorption显示文摘 | Yuexia Lv Xinhai Yu Jingjing Jia Shan-Tung Tu Jinyue Yan Erik Dahlquist | 2010 | Applied Energy2010，，1： | 1 |
| 4 | Wetting of polypropylene hollow fiber membrane contactors显示文摘 | LV YUEXIA YU XINHAI TUA SHAN TUNG | 2010 | Journal of Membrane Science2010，，1： | 1 |
| 5 | An Improved Harris Hawk Optimization Algorithm for Flexible Job Shop Scheduling Problem显示文摘Flexible job shop scheduling problem(FJSP)is the core decision-making problem of intelligent manufacturing production management.The Harris hawk optimization(HHO)algorithm,as a typical metaheuristic algorithm,has been widely employed to solve scheduling problems.However,HHO suffers from premature convergence when solving NP-hard problems.Therefore,this paper proposes an improved HHO algorithm(GNHHO)to solve the FJSP.GNHHO introduces an elitism strategy,a chaotic mechanism,a nonlinear escaping energy update strategy,and a Gaussian random walk strategy to prevent premature convergence.A flexible job shop scheduling model is constructed,and the static and dynamic FJSP is investigated to minimize the makespan.This paper chooses a two-segment encoding mode based on the job and the machine of the FJSP.To verify the effectiveness of GNHHO,this study tests it in 23 benchmark functions,10 standard job shop scheduling problems(JSPs),and 5 standard FJSPs.Besides,this study collects data from an agricultural company and uses the GNHHO algorithm to optimize the company’s FJSP.The optimized scheduling scheme demonstrates significant improvements in makespan,with an advancement of 28.16%for static scheduling and 35.63%for dynamic scheduling.Moreover,it achieves an average increase of 21.50%in the on-time order delivery rate.The results demonstrate that the performance of the GNHHO algorithm in solving FJSP is superior to some existing algorithms. | Zhaolin Lv Yuexia Zhao Hongyue Kang Zhenyu Gao Yuhang Qin | 2024 | Computers, Materials & Continua2024，78，2： | 0 |
| 6 | Numerical analysis and experimental research on detection of welding defects in pipelines based on magnetic flux leakage显示文摘Regular inspection of long-distance oil and gas pipelines plays an important role in ensuring the safe transportation of oil and gas,and inspection on welding defects is an important part of the inspection process.Magnetic flux leakage(MFL)is an electromagnetic non-destructive testing technique which has been commonly utilized to detect welding defects in pipelines.In the present study,Maxwell electro-magnetic simulation software was used to carry out numerical study on the welding defects in pipelines,including incomplete penetration and undercut.TheФ406 pipeline with a wall thickness of 7 mm was selected as the study case to establish the numerical model.Setting the life-off value at 1 mm,the distribution of magnetic leakage field was investigated for pipeline without defect,pipeline with incomplete penetration defect and pipeline with undercut defect respectively,the characteristic values describing the depth and width of defects were found.Furthermore,quantified equations which can be used to describe the defect depth were proposed.Finally,experimental research was carried out to validate the effectiveness of the numerical model,and the experimental results showed good consistence with the numerical calculation results.The research results indicate that,it is technically feasible and reliable to diagnose the incomplete penetration and undercut welding defects in pipelines using MFL. | Changsheng Zhang Jinpeng Bi Yuexia Lv Mengli Li Yongying Qi Kai Zhou Ming Zhang Tingting Du | 2023 | Petroleum Research2023，8，4： | 0 |
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