This paper aims at summarized the research progress of soil microbes,in amount of soil microbes including bacteria,fungi and actinomycetes,soil microbial biomass,including microbial biomass carbon,microbial biomass ni...This paper aims at summarized the research progress of soil microbes,in amount of soil microbes including bacteria,fungi and actinomycetes,soil microbial biomass,including microbial biomass carbon,microbial biomass nitrogen and microbial biomass phosphorus,function of microbial and screening and application of beneficial microorganisms etc.,and future research are discussed combined with our project team for many years of work.展开更多
Harmony search(HS)is a form of stochastic meta-heuristic inspired by the improvisation process of musicians.In this study,a modified HS with a hybrid cuckoo search(CS)operator,HS-CS,is proposed to enhance global searc...Harmony search(HS)is a form of stochastic meta-heuristic inspired by the improvisation process of musicians.In this study,a modified HS with a hybrid cuckoo search(CS)operator,HS-CS,is proposed to enhance global search ability while avoiding falling into local optima.First,the randomness of the HS pitch disturbance adjusting method is analyzed to generate an adaptive inertia weight according to the quality of solutions in the harmony memory and to reconstruct the fine-tuning bandwidth optimization.This is to improve the efficiency and accuracy of HS algorithm optimization.Second,the CS operator is introduced to expand the scope of the solution space and improve the density of the population,which can quickly jump out of the local optimum in the randomly generated harmony and update stage.Finally,a dynamic parameter adjustment mechanism is set to improve the efficiency of optimization.Three theorems are proved to reveal HS-CS as a global convergence meta-heuristic algorithm.In addition,12 benchmark functions are selected for the optimization solution to verify the performance of HS-CS.The analysis shows that HS-CS is significantly better than other algorithms in optimizing high-dimensional problems with strong robustness,high convergence speed,and high convergence accuracy.For further verification,HS-CS is used to optimize the back propagation neural network(BPNN)to extract weighted fuzzy production rules.Simulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted fuzzy production rules.Therefore,the proposed HS-CS is proved to be effective.展开更多
Covalent organic frameworks(COFs)have been increasingly used in capillary electrochromatography due to their excellent characteristics.In this work,hydrazine-linked TFPB-DHzDS(TFPB:1,3,5-tris(4-formylphenyl)benzene;DH...Covalent organic frameworks(COFs)have been increasingly used in capillary electrochromatography due to their excellent characteristics.In this work,hydrazine-linked TFPB-DHzDS(TFPB:1,3,5-tris(4-formylphenyl)benzene;DHzDS:2,5-bis(3-(ethylthio)propoxy)terephthalohydrazide)was first synthesized by a simpler and easier method at room temperature and introduced into capillary electrochromatography as coating material.The TFPB-DHzDS coated capillaries were prepared by an in-situ growth process at room temperature.After optimizing the coating concentration and experimental conditions of capillary electrochromatography,baseline separation of two groups of polycyclic aromatic hydrocarbons was achieved based on the TFPB-DHzDS coated capillary.And the established method was used successfully to determine PAHs in natural water and soil samples.The spiked recoveries of polycyclic aromatic hydrocarbons in these samples ranged from 90.01%to 111.0%,indicating that the method is reliable and could detect polycyclic aromatic hydrocarbons in natural samples.Finally,molecular simulation was applied to study and visualize the interaction between the analytes and coating COF materials to investigate the molecular level separation mechanism further.展开更多
基金Supported by Scientific and Technological Innovation Project of Gansu Agriculture and Animal Husbandry Bureaus(GNXC-2012-45)National Natural Science Foundation of China(41161049)
文摘This paper aims at summarized the research progress of soil microbes,in amount of soil microbes including bacteria,fungi and actinomycetes,soil microbial biomass,including microbial biomass carbon,microbial biomass nitrogen and microbial biomass phosphorus,function of microbial and screening and application of beneficial microorganisms etc.,and future research are discussed combined with our project team for many years of work.
基金supported by the National Natural Science Foundation of China (No.62066016)the Natural Science Foundation of Hunan Province,China (No.2020JJ5458)+3 种基金the Research Foundation of Education Bureau of Hunan Province,China (Nos.22B0549 and 22B1046)the Fundamental Research Grant Scheme of Malaysia (No.R.J130000.7809.5F524)the UTMFR Grant (No.Q.J130000.2551.20H71)the Research Management Center (RMC)of Universiti Teknologi Malaysia (UTM)。
文摘Harmony search(HS)is a form of stochastic meta-heuristic inspired by the improvisation process of musicians.In this study,a modified HS with a hybrid cuckoo search(CS)operator,HS-CS,is proposed to enhance global search ability while avoiding falling into local optima.First,the randomness of the HS pitch disturbance adjusting method is analyzed to generate an adaptive inertia weight according to the quality of solutions in the harmony memory and to reconstruct the fine-tuning bandwidth optimization.This is to improve the efficiency and accuracy of HS algorithm optimization.Second,the CS operator is introduced to expand the scope of the solution space and improve the density of the population,which can quickly jump out of the local optimum in the randomly generated harmony and update stage.Finally,a dynamic parameter adjustment mechanism is set to improve the efficiency of optimization.Three theorems are proved to reveal HS-CS as a global convergence meta-heuristic algorithm.In addition,12 benchmark functions are selected for the optimization solution to verify the performance of HS-CS.The analysis shows that HS-CS is significantly better than other algorithms in optimizing high-dimensional problems with strong robustness,high convergence speed,and high convergence accuracy.For further verification,HS-CS is used to optimize the back propagation neural network(BPNN)to extract weighted fuzzy production rules.Simulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted fuzzy production rules.Therefore,the proposed HS-CS is proved to be effective.
基金the National Natural Science Foundation of China(Grant Nos.21705064,21675068)for financial support.
文摘Covalent organic frameworks(COFs)have been increasingly used in capillary electrochromatography due to their excellent characteristics.In this work,hydrazine-linked TFPB-DHzDS(TFPB:1,3,5-tris(4-formylphenyl)benzene;DHzDS:2,5-bis(3-(ethylthio)propoxy)terephthalohydrazide)was first synthesized by a simpler and easier method at room temperature and introduced into capillary electrochromatography as coating material.The TFPB-DHzDS coated capillaries were prepared by an in-situ growth process at room temperature.After optimizing the coating concentration and experimental conditions of capillary electrochromatography,baseline separation of two groups of polycyclic aromatic hydrocarbons was achieved based on the TFPB-DHzDS coated capillary.And the established method was used successfully to determine PAHs in natural water and soil samples.The spiked recoveries of polycyclic aromatic hydrocarbons in these samples ranged from 90.01%to 111.0%,indicating that the method is reliable and could detect polycyclic aromatic hydrocarbons in natural samples.Finally,molecular simulation was applied to study and visualize the interaction between the analytes and coating COF materials to investigate the molecular level separation mechanism further.
