The traditional genetic algorithm(GA)has unstable inversion results and is easy to fall into the local optimum when inverting fault parameters.Therefore,this article considers the combination of GA with other non-line...The traditional genetic algorithm(GA)has unstable inversion results and is easy to fall into the local optimum when inverting fault parameters.Therefore,this article considers the combination of GA with other non-linear algorithms in order to improve the inversion precision of GA.This paper proposes a genetic Nelder-Mead neural network algorithm(GNMNNA).This algorithm uses a neural network algorithm(NNA)to optimize the global search ability of GA.At the same time,the simplex algorithm is used to optimize the local search capability of the GA.Through numerical examples,the stability of the inversion algorithm under different strategies is explored.The experimental results show that the proposed GNMNNA has stronger inversion stability and higher precision compared with the existing algorithms.The effectiveness of GNMNNA is verified by the BodrumeKos earthquake and Monte Cristo Range earthquake.The experimental results show that GNMNNA is superior to GA and NNA in both inversion precision and computational stability.Therefore,GNMNNA has greater application potential in complex earthquake environment.展开更多
Small nucleolar RNAs(snoRNAs)play critical roles in various biological processes.The aberrant expression or depletion of snoRNAs is related to various diseases.In previous research,most of the snoRNAs were categorized...Small nucleolar RNAs(snoRNAs)play critical roles in various biological processes.The aberrant expression or depletion of snoRNAs is related to various diseases.In previous research,most of the snoRNAs were categorized as C/D box snoRNAs and H/ACA box snoRNAs,whose typical functions were thought of as regulation of 2′-O-ribose methylation and pseudouridylation of ribosome RNAs,respectively.However,in the past two decades,studies have revealed an increasing number of snoRNAs without specific targets or determined cell functions.These findings indicated that some potential roles of snoRNAs are still unknown.Numerous studies have indicated the correlation of snoRNAs with human diseases.SnoRNAs play various roles in abundant biological processes,and they have great potential in controlling human diseases.This new and rising field could benefit from investigations of the disease pathogenesis,biomarker identification,and the determination of novel therapeutic targets.This review summarized the reports on snoRNAs and the regulation of different diseases in recent years.展开更多
基金This manuscript is supported by the National Natural Science Foundation of China(No.42174011,41874001 and 42174011).
文摘The traditional genetic algorithm(GA)has unstable inversion results and is easy to fall into the local optimum when inverting fault parameters.Therefore,this article considers the combination of GA with other non-linear algorithms in order to improve the inversion precision of GA.This paper proposes a genetic Nelder-Mead neural network algorithm(GNMNNA).This algorithm uses a neural network algorithm(NNA)to optimize the global search ability of GA.At the same time,the simplex algorithm is used to optimize the local search capability of the GA.Through numerical examples,the stability of the inversion algorithm under different strategies is explored.The experimental results show that the proposed GNMNNA has stronger inversion stability and higher precision compared with the existing algorithms.The effectiveness of GNMNNA is verified by the BodrumeKos earthquake and Monte Cristo Range earthquake.The experimental results show that GNMNNA is superior to GA and NNA in both inversion precision and computational stability.Therefore,GNMNNA has greater application potential in complex earthquake environment.
基金supported by the National Natural Science Foundation of China(No.82172473,82072462,81802191)the Natural Science Foundation of Shandong Province,China(No.ZR2019PH068)+1 种基金Public Welfare Basic Research Program of Zhejiang Province,China(No.LY20H060002)2018 Xinhua-uOttawa joint clinical research,China(No.18JX008).
文摘Small nucleolar RNAs(snoRNAs)play critical roles in various biological processes.The aberrant expression or depletion of snoRNAs is related to various diseases.In previous research,most of the snoRNAs were categorized as C/D box snoRNAs and H/ACA box snoRNAs,whose typical functions were thought of as regulation of 2′-O-ribose methylation and pseudouridylation of ribosome RNAs,respectively.However,in the past two decades,studies have revealed an increasing number of snoRNAs without specific targets or determined cell functions.These findings indicated that some potential roles of snoRNAs are still unknown.Numerous studies have indicated the correlation of snoRNAs with human diseases.SnoRNAs play various roles in abundant biological processes,and they have great potential in controlling human diseases.This new and rising field could benefit from investigations of the disease pathogenesis,biomarker identification,and the determination of novel therapeutic targets.This review summarized the reports on snoRNAs and the regulation of different diseases in recent years.
