为探索一种客观、量化且能解决多目标决策问题的土地利用空间优化配置方法,在"资源节约"与"环境友好"目标约束下,设计应用于土地利用空间优化配置的多智能体遗传进化算法,构建多目标土地利用空间优化配置MOSOLUA(Mu...为探索一种客观、量化且能解决多目标决策问题的土地利用空间优化配置方法,在"资源节约"与"环境友好"目标约束下,设计应用于土地利用空间优化配置的多智能体遗传进化算法,构建多目标土地利用空间优化配置MOSOLUA(Multi objective spatial optimization model for land use allocation)模型;以国家资源节约型和环境友好型社会建设综合配套改革实验区——长株潭城市群的核心区域为例,进行多目标土地利用空间优化配置应用研究。研究结果表明:基于MOSOLUA模型得到的优化后的土地利用格局的资源节约与环境友好程度较优化前有明显提高;MOSOLUA模型的收敛速度较普通遗传算法模型的快,实证应用所花时间由8.57 h减少到3.31 h,运行效率提高61.38%;模型的总体适应度与采用普通遗传算法的优化配置模型相比提高了12.57%。展开更多
AIM： To evaluate the association and interaction of genetic polymorphisms in methylenetetrahydrofolate reductase （MTHER） and cytochrome P4502E1 （CY- P4502E1）, environment risk factors with esophageal cancer （EC...AIM： To evaluate the association and interaction of genetic polymorphisms in methylenetetrahydrofolate reductase （MTHER） and cytochrome P4502E1 （CY- P4502E1）, environment risk factors with esophageal cancer （EC） in Kazakh, a high EC incidence area of Xinjiang Uygur Autonomous Region, China. METHODS： A 1：2 matched case-control study was conducted with 120 cases of EC and 240 populationor hospital-based controls. The controls were matched for sex, nationality, area of residence and age within a 5-year difference. MTHER and CYP4502E1 genotypes were identified by PCR-based restriction fragment length polymorphism （RFLP）. A conditional logistic regression model was established to identify risk factors. The strata method was adopted in interaction analysis. RESULTS： Low consumption of green vegetables and fresh fruits, alcohol drinking, and unsafe water （shallow well, or river） were found to be the risk factors for EC. Individuals with the MTHFR677 （C/T ＋ T/T） genotype had a 2.62-fold （95% CI： 1.61-4.28） risk of developing EC compared with those who carried the C/C genotype. Individuals with the CYP4502EIC1/C1 genotype had a 3.00-fold （95% CI： 1.82-4.96） risk compared with those who carried the CYP4502E1 （C1/C2 ＋ C2/C2） genotype. Gene-environment interaction analysis showed that MTHFR677 gene polymorphism was correlated with consumption of green vegetables and fresh fruit, while CYP4502E1 C1/C1 was correlated with alcohol drinking and unsafe drinking water. MTHFR and CYP4502E1 analysis of gene-gene interaction showed that individuals with the MTHFR677 （C/T ＋ T/T） and CYP4502EIC1/ C1 genotypes had a 7.41-fold （95% CI： 3.60-15.25） risk of developing EC compared with those who carried the MTHFR677C/C and CYP4502E1 RsaI C1/C2 ＋ C2/C2 genes, and the interaction rate was higher than that of the two factors alone. CONCLUSION： Low consumption of green vegetables and fresh fruits, alcohol drinking, and unsafe water （shallow well, or river） and polymorphisms展开更多
文摘为探索一种客观、量化且能解决多目标决策问题的土地利用空间优化配置方法,在"资源节约"与"环境友好"目标约束下,设计应用于土地利用空间优化配置的多智能体遗传进化算法,构建多目标土地利用空间优化配置MOSOLUA(Multi objective spatial optimization model for land use allocation)模型;以国家资源节约型和环境友好型社会建设综合配套改革实验区——长株潭城市群的核心区域为例,进行多目标土地利用空间优化配置应用研究。研究结果表明:基于MOSOLUA模型得到的优化后的土地利用格局的资源节约与环境友好程度较优化前有明显提高;MOSOLUA模型的收敛速度较普通遗传算法模型的快,实证应用所花时间由8.57 h减少到3.31 h,运行效率提高61.38%;模型的总体适应度与采用普通遗传算法的优化配置模型相比提高了12.57%。
基金Supported by The National Natural Science Foundation of China, No. 30660161Prophase Basic Research Project of Ministry of Science and Technology of China, No. 2005CCA03700, No. 2007CB516804+1 种基金Science and Technology Research Project of Ministry of Education of China, No. 206167Laboratory of Endemic and Ethnic Diseases Program of Xinjiang, No. 200416
文摘AIM： To evaluate the association and interaction of genetic polymorphisms in methylenetetrahydrofolate reductase （MTHER） and cytochrome P4502E1 （CY- P4502E1）, environment risk factors with esophageal cancer （EC） in Kazakh, a high EC incidence area of Xinjiang Uygur Autonomous Region, China. METHODS： A 1：2 matched case-control study was conducted with 120 cases of EC and 240 populationor hospital-based controls. The controls were matched for sex, nationality, area of residence and age within a 5-year difference. MTHER and CYP4502E1 genotypes were identified by PCR-based restriction fragment length polymorphism （RFLP）. A conditional logistic regression model was established to identify risk factors. The strata method was adopted in interaction analysis. RESULTS： Low consumption of green vegetables and fresh fruits, alcohol drinking, and unsafe water （shallow well, or river） were found to be the risk factors for EC. Individuals with the MTHFR677 （C/T ＋ T/T） genotype had a 2.62-fold （95% CI： 1.61-4.28） risk of developing EC compared with those who carried the C/C genotype. Individuals with the CYP4502EIC1/C1 genotype had a 3.00-fold （95% CI： 1.82-4.96） risk compared with those who carried the CYP4502E1 （C1/C2 ＋ C2/C2） genotype. Gene-environment interaction analysis showed that MTHFR677 gene polymorphism was correlated with consumption of green vegetables and fresh fruit, while CYP4502E1 C1/C1 was correlated with alcohol drinking and unsafe drinking water. MTHFR and CYP4502E1 analysis of gene-gene interaction showed that individuals with the MTHFR677 （C/T ＋ T/T） and CYP4502EIC1/ C1 genotypes had a 7.41-fold （95% CI： 3.60-15.25） risk of developing EC compared with those who carried the MTHFR677C/C and CYP4502E1 RsaI C1/C2 ＋ C2/C2 genes, and the interaction rate was higher than that of the two factors alone. CONCLUSION： Low consumption of green vegetables and fresh fruits, alcohol drinking, and unsafe water （shallow well, or river） and polymorphisms
