A new kind of silicon-based biological lubricating base oil with good viscosity-temperature behavior,viscosity index,thermostability,oxidation stability and wear resistance performance was synthesized as a derivative ...A new kind of silicon-based biological lubricating base oil with good viscosity-temperature behavior,viscosity index,thermostability,oxidation stability and wear resistance performance was synthesized as a derivative of methyl oleate.Trimethylsilylation reaction was introduced to further improve methyl oleate oxidation stability and lubricity after epoxidation and open-ring reactions.The order of effectiveness of acid binding agent was N,N-diisopropylethylamine(DIEA) > pyridine > diethylamine > triethylamine,and the effects of various parameters on the trimethylsilylation reaction as well as on the silicon-oxygen bond stability and reaction yield were studied.A maximum yield of 34.54%was achieved at hydroxyl/trimethyl chlorosilane/DIEA molar ratio of1:1.25:1,reaction temperature 40℃,reaction time 1.5 h.展开更多
Three new o-hydroxy Schiff bases, L1, L2 and L3, were derived from the 1：1 M condensation of substituted salicylaldehyde with tris base and were characterized by FT-IR, ^1H NMR and ^13C NMR spectroscopies. The crysta...Three new o-hydroxy Schiff bases, L1, L2 and L3, were derived from the 1：1 M condensation of substituted salicylaldehyde with tris base and were characterized by FT-IR, ^1H NMR and ^13C NMR spectroscopies. The crystal structure of L1 was also determined by single-crystal X-ray analysis, and it exists as a zwitterionic form in the solid state, with the H atom of the phenol group being transferred to the imine N atom. It adopts an E-configuration about the central C=N double bond. In addition, the biological activity assay was carried out and the results show that the Schiff-base compounds have a diverse range of biological activities against the fungi tested, which suggests great potential applications in antifungal fields in the future.展开更多
Nature,with its numerous surprising rules,serves as a rich source of creativity for the development of artificial intelligence,inspiring researchers to create several nature-inspired intelligent computing paradigms ba...Nature,with its numerous surprising rules,serves as a rich source of creativity for the development of artificial intelligence,inspiring researchers to create several nature-inspired intelligent computing paradigms based on natural mechanisms.Over the past decades,these paradigms have revealed effective and flexible solutions to practical and complex problems.This paper summarizes the natural mechanisms of diverse advanced nature-inspired intelligent computing paradigms,which provide valuable lessons for building general-purpose machines capable of adapting to the environment autonomously.According to the natural mechanisms,we classify nature-inspired intelligent computing paradigms into 4 types:evolutionary-based,biological-based,social-cultural-based,and science-based.Moreover,this paper also illustrates the interrelationship between these paradigms and natural mechanisms,as well as their real-world applications,offering a comprehensive algorithmic foundation for mitigating unreasonable metaphors.Finally,based on the detailed analysis of natural mechanisms,the challenges of current natureinspired paradigms and promising future research directions are presented.展开更多
基金Supported by the National Natural Science Foundation of China(21306088)National Key Technologies R&D Program of China(2015BAD15B07)+1 种基金State Key Laboratory of Chemical Engineering(SKL-Ch E-13A01,Tsinghua University,China)Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD,China)
文摘A new kind of silicon-based biological lubricating base oil with good viscosity-temperature behavior,viscosity index,thermostability,oxidation stability and wear resistance performance was synthesized as a derivative of methyl oleate.Trimethylsilylation reaction was introduced to further improve methyl oleate oxidation stability and lubricity after epoxidation and open-ring reactions.The order of effectiveness of acid binding agent was N,N-diisopropylethylamine(DIEA) > pyridine > diethylamine > triethylamine,and the effects of various parameters on the trimethylsilylation reaction as well as on the silicon-oxygen bond stability and reaction yield were studied.A maximum yield of 34.54%was achieved at hydroxyl/trimethyl chlorosilane/DIEA molar ratio of1:1.25:1,reaction temperature 40℃,reaction time 1.5 h.
基金financially supported by the Natural Science Foundation of Hunan Province(2017JJ3093)the Scientific Research Fund of Hunan Provincial Education Department(No.16B104)
文摘Three new o-hydroxy Schiff bases, L1, L2 and L3, were derived from the 1：1 M condensation of substituted salicylaldehyde with tris base and were characterized by FT-IR, ^1H NMR and ^13C NMR spectroscopies. The crystal structure of L1 was also determined by single-crystal X-ray analysis, and it exists as a zwitterionic form in the solid state, with the H atom of the phenol group being transferred to the imine N atom. It adopts an E-configuration about the central C=N double bond. In addition, the biological activity assay was carried out and the results show that the Schiff-base compounds have a diverse range of biological activities against the fungi tested, which suggests great potential applications in antifungal fields in the future.
文摘Nature,with its numerous surprising rules,serves as a rich source of creativity for the development of artificial intelligence,inspiring researchers to create several nature-inspired intelligent computing paradigms based on natural mechanisms.Over the past decades,these paradigms have revealed effective and flexible solutions to practical and complex problems.This paper summarizes the natural mechanisms of diverse advanced nature-inspired intelligent computing paradigms,which provide valuable lessons for building general-purpose machines capable of adapting to the environment autonomously.According to the natural mechanisms,we classify nature-inspired intelligent computing paradigms into 4 types:evolutionary-based,biological-based,social-cultural-based,and science-based.Moreover,this paper also illustrates the interrelationship between these paradigms and natural mechanisms,as well as their real-world applications,offering a comprehensive algorithmic foundation for mitigating unreasonable metaphors.Finally,based on the detailed analysis of natural mechanisms,the challenges of current natureinspired paradigms and promising future research directions are presented.
