面向飞机PHM的大数据分析与人工智能应用

针对新一代电子产品密集型的飞机,其系统结构和失效机理复杂、失效模式多样,传统的方法难以对其进行有效健康管理的现状,因此提出了基于海量数据挖掘的飞机PHM研究。首先从系统结构、服役环境、数据来源与存储方式等角度分析了新一代飞机对海量数据挖掘的应用需求;其次论述了基于海量数据挖掘的关键技术,包括数据的预处理、集成管理、聚类、分类、关联、预测等;最后提出了一种基于私有云的飞机PHM海量数据挖掘平台,详细阐述了该平台的总体框架和软硬件结构,该平台为飞机PHM提供了验证平台,对促进飞机PHM的集成与工程化实现具有重大的军事应用意义。     

Insulin/IGF signalling in neurogenesis

No Abstract. . Received 25 January 2006; received after revision 29 March 2006; accepted 2 May 2006     

Genetic contributions to stability and change in intelligence from childhood to old age

Understanding the determinants of healthy mental ageing is a priority for society today. So far, we know that intelligence differences show high stability from childhood to old age and there are estimates of the genetic contribution to intelligence at different ages. However, attempts to discover whether genetic causes contribute to differences in cognitive ageing have been relatively uninformative. Here we provide an estimate of the genetic and environmental contributions to stability and change in intelligence across most of the human lifetime. We used genome-wide single nucleotide polymorphism (SNP) data from 1,940 unrelated individuals whose intelligence was measured in childhood (age 11 years) and again in old age (age 65, 70 or 79 years). We use a statistical method that allows genetic (co)variance to be estimated from SNP data on unrelated individuals. We estimate that causal genetic variants in linkage disequilibrium with common SNPs account for 0.24 of the variation in cognitive ability change from childhood to old age. Using bivariate analysis, we estimate a genetic correlation between intelligence at age 11 years and in old age of 0.62. These estimates, derived from rarely available data on lifetime cognitive measures, warrant the search for genetic causes of cognitive stability and change.