Thymus quinquecostatus Celak.,a traditional aromatic edible plant from Lamiaceae,is widely used as food additive,food condiment,spice,and herbal teas.Polyphenol-rich fraction of T.quinquecostatus(PRF)has been proven t...Thymus quinquecostatus Celak.,a traditional aromatic edible plant from Lamiaceae,is widely used as food additive,food condiment,spice,and herbal teas.Polyphenol-rich fraction of T.quinquecostatus(PRF)has been proven to be effective protective effect for cerebral ischemia reperfusion injury(CIRI)in our previous study.In this study,we developed a novel“Gut flora-Compound-Target-Pathway”(GCTP)network based on network pharmacology coupled with gastrointestinal metabolism for screening bio-active components,key targets and gut floras through the classical technique for order preference by similarity to ideal solution(TOPSIS).This compensates for the lack of gut floras and gastrointestinal metabolism in network pharmacology.Firstly,four incubation models covering simulated gastric juice,simulated intestinal juice,gut floras of normal and transient middle cerebral artery occlusion(tMCAO)rat in vitro were applied to PRF.The 109 proto-components and 64 metabolites were elucidated by ultra-high performance liquid chromatography Q exactive orbitrap-mass spectrometry(UPLC-QE-Orbitrap-MS).Then,the key targets of matrix metalloproteinase 9(MMP9),prostaglandin-endoperoxide synthase 2(PTGS2),tyrosine-protein kinase fyn(FYN),estrogen receptor 1(ESR1),amyloid precursor protein(APP),and epidermal growth factor receptor(EGFR),and gut floras of Enterococcus avium LY1 were selected.Moreover,the selected key proto components were rosmarinic acid,daidzein,quercetin,luteolin,apigenin,methyl rosmarinate,kaempferol,luteoloside,and caffeic acid,and the key metabolites were isokaempferide,isorhamnetin,isoquercetin,and mangiferin.Binding of compounds to the key proteins was analyzed by molecular docking,and also verified though an 2,2'-azobis(2-amidinopropane)dihydrochloride(AAPH)induced oxidative stress zebrafish model and real-time quantitative polymerase chain reaction(RT-qPCR)assays.This study provides a new idea and a better understanding of PRF for its protective effects on CIRI and its underlying mechanisms.展开更多
This paper is concerned with a technique for order performance by similarity to ideal solution(TOPSIS)method for fuzzy multi-attribute decision making,in which the information about attribute weights is partly known a...This paper is concerned with a technique for order performance by similarity to ideal solution(TOPSIS)method for fuzzy multi-attribute decision making,in which the information about attribute weights is partly known and the attribute values take form of triangular fuzzy numbers.Considering the fact that the triangular fuzzy TOPSIS results yielded by different distance measures are different from others,a comparative analysis of triangular fuzzy TOPSIS ranking from each distance measure is illustrated with discussion on standard deviation.By applying the most reasonable distance,the deviation degrees between attribute values are measured.A linear programming model based on the maximal deviation of weighted attribute values is established to obtain the attribute weights.Therefore,alternatives are ranked by using TOPSIS method.Finally,a numerical example is given to show the feasibility and effectiveness of the method.展开更多
The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation ...The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation of spoofing capability.However,current evaluation systems face challenges arising from the irrationality of previous weighting methods,inapplicability of the conventional multi-attribute decision-making method and uncertainty existing in evaluation.To solve these difficulties,considering the validity of the obtained results,an evaluation method based on the game aggregated weight model and a joint approach involving the grey relational analysis and technique for order preference by similarity to an ideal solution(GRA-TOPSIS)are firstly proposed to determine the optimal scheme.Static and dynamic evaluation results under different schemes are then obtained via a fuzzy comprehensive assessment and an improved dynamic game method,to prioritize the deceptive efficacy of the equipment accurately and make pointed improvement for its core performance.The use of judging indicators,including Spearman rank correlation coefficient and so on,combined with obtained evaluation results,demonstrates the superiority of the proposed method and the optimal scheme by the horizontal comparison of different methods and vertical comparison of evaluation results.Finally,the results of field measurements and simulation tests show that the proposed method can better overcome the difficulties of existing methods and realize the effective evaluation.展开更多
In order to reduce both the weight of vehicles and the damage of occupants in a crash event simultaneously, it is necessary to perform a multi-objective optimal design of the automotive energy absorbing components. Mo...In order to reduce both the weight of vehicles and the damage of occupants in a crash event simultaneously, it is necessary to perform a multi-objective optimal design of the automotive energy absorbing components. Modified non-dominated sorting genetic algorithm II(NSGA II) was used for multi-objective optimization of automotive S-rail considering absorbed energy(E), peak crushing force(Fmax) and mass of the structure(W) as three conflicting objective functions. In the multi-objective optimization problem(MOP), E and Fmax are defined by polynomial models extracted using the software GEvo M based on train and test data obtained from numerical simulation of quasi-static crushing of the S-rail using ABAQUS. Finally, the nearest to ideal point(NIP)method and technique for ordering preferences by similarity to ideal solution(TOPSIS) method are used to find the some trade-off optimum design points from all non-dominated optimum design points represented by the Pareto fronts. Results represent that the optimum design point obtained from TOPSIS method exhibits better trade-off in comparison with that of optimum design point obtained from NIP method.展开更多
Increasing size of wind turbine and deep water deployment have raised the issue of appropriate selection of the most suitable support structure to make offshore wind energy cost competitive.The paper presents an optim...Increasing size of wind turbine and deep water deployment have raised the issue of appropriate selection of the most suitable support structure to make offshore wind energy cost competitive.The paper presents an optimization methodology for decision making process of bottom mounted supports of offshore wind turbines （OWTs） through reasonable engineering attributes derivation.Mathematic models of support structures are reduced by the generalized single-degree-of-freedom theory with relatively fewer structural parameters.Soft-stiff design optimization based on dynamic properties of OWTs is performed for monopile and lattice supports with different wind turbines,water depth and hub height.Attributes of support structures,wind turbines and environment conditions are applied in the multi-criteria decision making method——TOPSIS for benchmarking of those options.The results illustrate the effectiveness of the proposed optimazation methodology combined with economical and environmental attributes together.展开更多
基金supported by the Key Research and Development Project of Ningxia Hui Autonomous Region(2020BFG03007).
文摘Thymus quinquecostatus Celak.,a traditional aromatic edible plant from Lamiaceae,is widely used as food additive,food condiment,spice,and herbal teas.Polyphenol-rich fraction of T.quinquecostatus(PRF)has been proven to be effective protective effect for cerebral ischemia reperfusion injury(CIRI)in our previous study.In this study,we developed a novel“Gut flora-Compound-Target-Pathway”(GCTP)network based on network pharmacology coupled with gastrointestinal metabolism for screening bio-active components,key targets and gut floras through the classical technique for order preference by similarity to ideal solution(TOPSIS).This compensates for the lack of gut floras and gastrointestinal metabolism in network pharmacology.Firstly,four incubation models covering simulated gastric juice,simulated intestinal juice,gut floras of normal and transient middle cerebral artery occlusion(tMCAO)rat in vitro were applied to PRF.The 109 proto-components and 64 metabolites were elucidated by ultra-high performance liquid chromatography Q exactive orbitrap-mass spectrometry(UPLC-QE-Orbitrap-MS).Then,the key targets of matrix metalloproteinase 9(MMP9),prostaglandin-endoperoxide synthase 2(PTGS2),tyrosine-protein kinase fyn(FYN),estrogen receptor 1(ESR1),amyloid precursor protein(APP),and epidermal growth factor receptor(EGFR),and gut floras of Enterococcus avium LY1 were selected.Moreover,the selected key proto components were rosmarinic acid,daidzein,quercetin,luteolin,apigenin,methyl rosmarinate,kaempferol,luteoloside,and caffeic acid,and the key metabolites were isokaempferide,isorhamnetin,isoquercetin,and mangiferin.Binding of compounds to the key proteins was analyzed by molecular docking,and also verified though an 2,2'-azobis(2-amidinopropane)dihydrochloride(AAPH)induced oxidative stress zebrafish model and real-time quantitative polymerase chain reaction(RT-qPCR)assays.This study provides a new idea and a better understanding of PRF for its protective effects on CIRI and its underlying mechanisms.
基金supported by the National Natural Science Foundation of China(70473037)the Key Project of National Development and Reform Commission(1009-213011)
文摘This paper is concerned with a technique for order performance by similarity to ideal solution(TOPSIS)method for fuzzy multi-attribute decision making,in which the information about attribute weights is partly known and the attribute values take form of triangular fuzzy numbers.Considering the fact that the triangular fuzzy TOPSIS results yielded by different distance measures are different from others,a comparative analysis of triangular fuzzy TOPSIS ranking from each distance measure is illustrated with discussion on standard deviation.By applying the most reasonable distance,the deviation degrees between attribute values are measured.A linear programming model based on the maximal deviation of weighted attribute values is established to obtain the attribute weights.Therefore,alternatives are ranked by using TOPSIS method.Finally,a numerical example is given to show the feasibility and effectiveness of the method.
基金supported by the National Natural Science Foundation of China(41804035,41374027)。
文摘The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation of spoofing capability.However,current evaluation systems face challenges arising from the irrationality of previous weighting methods,inapplicability of the conventional multi-attribute decision-making method and uncertainty existing in evaluation.To solve these difficulties,considering the validity of the obtained results,an evaluation method based on the game aggregated weight model and a joint approach involving the grey relational analysis and technique for order preference by similarity to an ideal solution(GRA-TOPSIS)are firstly proposed to determine the optimal scheme.Static and dynamic evaluation results under different schemes are then obtained via a fuzzy comprehensive assessment and an improved dynamic game method,to prioritize the deceptive efficacy of the equipment accurately and make pointed improvement for its core performance.The use of judging indicators,including Spearman rank correlation coefficient and so on,combined with obtained evaluation results,demonstrates the superiority of the proposed method and the optimal scheme by the horizontal comparison of different methods and vertical comparison of evaluation results.Finally,the results of field measurements and simulation tests show that the proposed method can better overcome the difficulties of existing methods and realize the effective evaluation.
文摘In order to reduce both the weight of vehicles and the damage of occupants in a crash event simultaneously, it is necessary to perform a multi-objective optimal design of the automotive energy absorbing components. Modified non-dominated sorting genetic algorithm II(NSGA II) was used for multi-objective optimization of automotive S-rail considering absorbed energy(E), peak crushing force(Fmax) and mass of the structure(W) as three conflicting objective functions. In the multi-objective optimization problem(MOP), E and Fmax are defined by polynomial models extracted using the software GEvo M based on train and test data obtained from numerical simulation of quasi-static crushing of the S-rail using ABAQUS. Finally, the nearest to ideal point(NIP)method and technique for ordering preferences by similarity to ideal solution(TOPSIS) method are used to find the some trade-off optimum design points from all non-dominated optimum design points represented by the Pareto fronts. Results represent that the optimum design point obtained from TOPSIS method exhibits better trade-off in comparison with that of optimum design point obtained from NIP method.
基金Supported by the National Natural Science Foundation of China （No.51309209,51279186） and the National Basic Research Program of China （No.2011CB013704）.
文摘Increasing size of wind turbine and deep water deployment have raised the issue of appropriate selection of the most suitable support structure to make offshore wind energy cost competitive.The paper presents an optimization methodology for decision making process of bottom mounted supports of offshore wind turbines （OWTs） through reasonable engineering attributes derivation.Mathematic models of support structures are reduced by the generalized single-degree-of-freedom theory with relatively fewer structural parameters.Soft-stiff design optimization based on dynamic properties of OWTs is performed for monopile and lattice supports with different wind turbines,water depth and hub height.Attributes of support structures,wind turbines and environment conditions are applied in the multi-criteria decision making method——TOPSIS for benchmarking of those options.The results illustrate the effectiveness of the proposed optimazation methodology combined with economical and environmental attributes together.
