Market timing prediction of stock investment is an important decision problem with uncertainty and risk in the financial activity.An algorithm for market timing prediction of stock investment is proposed in this paper...Market timing prediction of stock investment is an important decision problem with uncertainty and risk in the financial activity.An algorithm for market timing prediction of stock investment is proposed in this paper.Considering the close relationship in the stock market and the economic data,we find the correlation of synthetical economic data and the equity returns with the help of the combination of fuzzy logic and genetic algorithm.Finally,the application of stock market is included to test the effectiveness of the algorithm.展开更多
The correspondence analysis will describe elemental association accompanying an indicator samples.This analysis indicates strong mineralization of Ag,As,Pb,Te,Mo,Au,Zn and to a lesser extent S,W,Cu at Glojeh polymetal...The correspondence analysis will describe elemental association accompanying an indicator samples.This analysis indicates strong mineralization of Ag,As,Pb,Te,Mo,Au,Zn and to a lesser extent S,W,Cu at Glojeh polymetallic mineralization,NW Iran.This work proposes a backward elimination approach(BEA)that quantitatively predicts the Au concentration from main effects(X),quadratic terms(X2)and the first order interaction(Xi×Xj)of Ag,Cu,Pb,and Zn by initialization,order reduction and validation of model.BEA is done based on the quadratic model(QM),and it was eliminated to reduced quadratic model(RQM)by removing insignificant predictors.During the QM optimization process,overall convergence trend of R2,R2(adj)and R2(pred)is obvious,corresponding to increase in the R2(pred)and decrease of R2.The RQM consisted of(threshold value,Cu,Ag×Cu,Pb×Zn,and Ag2-Pb2)and(Pb,Ag×Cu,Ag×Pb,Cu×Zn,Pb×Zn,and Ag2)as main predictors of optimized model according to288and679litho-samples in trenches and boreholes,respectively.Due to the strong genetic effects with Au mineralization,Pb,Ag2,and Ag×Pb are important predictors in boreholes RQM,while the threshold value is known as an important predictor in the trenches model.The RQMs R2(pred)equal74.90%and60.62%which are verified by R2equal to73.9%and60.9%in the trenches and boreholes validation group,respectively.展开更多
Despite the acceptance of physical activity （PA） being integral to a young person＇s health, children with disability often exhibit low levels of PA. In young people with cystic fibrosis （CF） the importance of exe...Despite the acceptance of physical activity （PA） being integral to a young person＇s health, children with disability often exhibit low levels of PA. In young people with cystic fibrosis （CF） the importance of exercise and daily PA is acknowledged by clinicians and their support teams, however, there is a lack of knowledge related to its prescription. CF is a recessive genetic disorder affecting the lung, pancreas and sweat glands. CF is the most common life shortening genetic disease in the Caucasian population for which there is no cure. In the UK, CF affects over 9000 people, with 4000 under 16 years of age. Only about half of the CF population can expect to live beyond 40 years of age. Besides drug therapies, rehabilitative exercise programmes form an important component of treatment and long term exercise programmes are considered positive treatment strategies, but all lack any detailed prescriptive information. Several reviews and editorials have highlighted the lack of evidence based research in PA and exercise training in young people with CF; but advocate a greater need for understanding the role of exercise in therapeutic interventions. The purpose of this review is to update the reader on the current recommendations and evidence in PA and exercise training for young people with CE These developments have extended our understanding of PA and exercise training in children and adolescents with CF, and its implementation in the management of this chronic disease.展开更多
基金National Natural Science Foundation of China!(No.69874 0 2 8)
文摘Market timing prediction of stock investment is an important decision problem with uncertainty and risk in the financial activity.An algorithm for market timing prediction of stock investment is proposed in this paper.Considering the close relationship in the stock market and the economic data,we find the correlation of synthetical economic data and the equity returns with the help of the combination of fuzzy logic and genetic algorithm.Finally,the application of stock market is included to test the effectiveness of the algorithm.
基金support of the IMIDRO(Iranian Mines and Mining Industries Development & Renovation Organization) for our research
文摘The correspondence analysis will describe elemental association accompanying an indicator samples.This analysis indicates strong mineralization of Ag,As,Pb,Te,Mo,Au,Zn and to a lesser extent S,W,Cu at Glojeh polymetallic mineralization,NW Iran.This work proposes a backward elimination approach(BEA)that quantitatively predicts the Au concentration from main effects(X),quadratic terms(X2)and the first order interaction(Xi×Xj)of Ag,Cu,Pb,and Zn by initialization,order reduction and validation of model.BEA is done based on the quadratic model(QM),and it was eliminated to reduced quadratic model(RQM)by removing insignificant predictors.During the QM optimization process,overall convergence trend of R2,R2(adj)and R2(pred)is obvious,corresponding to increase in the R2(pred)and decrease of R2.The RQM consisted of(threshold value,Cu,Ag×Cu,Pb×Zn,and Ag2-Pb2)and(Pb,Ag×Cu,Ag×Pb,Cu×Zn,Pb×Zn,and Ag2)as main predictors of optimized model according to288and679litho-samples in trenches and boreholes,respectively.Due to the strong genetic effects with Au mineralization,Pb,Ag2,and Ag×Pb are important predictors in boreholes RQM,while the threshold value is known as an important predictor in the trenches model.The RQMs R2(pred)equal74.90%and60.62%which are verified by R2equal to73.9%and60.9%in the trenches and boreholes validation group,respectively.
文摘Despite the acceptance of physical activity （PA） being integral to a young person＇s health, children with disability often exhibit low levels of PA. In young people with cystic fibrosis （CF） the importance of exercise and daily PA is acknowledged by clinicians and their support teams, however, there is a lack of knowledge related to its prescription. CF is a recessive genetic disorder affecting the lung, pancreas and sweat glands. CF is the most common life shortening genetic disease in the Caucasian population for which there is no cure. In the UK, CF affects over 9000 people, with 4000 under 16 years of age. Only about half of the CF population can expect to live beyond 40 years of age. Besides drug therapies, rehabilitative exercise programmes form an important component of treatment and long term exercise programmes are considered positive treatment strategies, but all lack any detailed prescriptive information. Several reviews and editorials have highlighted the lack of evidence based research in PA and exercise training in young people with CF; but advocate a greater need for understanding the role of exercise in therapeutic interventions. The purpose of this review is to update the reader on the current recommendations and evidence in PA and exercise training for young people with CE These developments have extended our understanding of PA and exercise training in children and adolescents with CF, and its implementation in the management of this chronic disease.
