针对以往基于离散度函数(function of degree of disagreement, FDOD)度量对航空发动机的健康状况进行综合评价时,未全面考虑各指标的权重,导致评价结果不够准确的问题,提出一种改进FDOD度量的综合评价方法。首先,利用序关系分析法(简称...针对以往基于离散度函数(function of degree of disagreement, FDOD)度量对航空发动机的健康状况进行综合评价时,未全面考虑各指标的权重,导致评价结果不够准确的问题,提出一种改进FDOD度量的综合评价方法。首先,利用序关系分析法(简称为G1法)确定各指标的主观权重,利用因子分析法确定各指标间的相关性,得到各指标的客观权重。其次,基于离差最大化的组合赋权法确定各指标的组合权重,使赋权结果更加科学合理,提高不同对象的区分度。然后,基于组合权重对传统FDOD度量进行改进,以提高综合评价的准确性。最后,通过美国国家航空航天局提供的涡扇发动机性能仿真数据,验证了所提方法的有效性。展开更多
用一种新的信息离散性度量方法,即Function of Degree of Disagreement(FDOD),从蛋白质原始序列出发区分同源二聚体、同源三聚体、同源四聚体和同源六聚体.该方法用蛋白质原始序列的子序列分布来描述氨基酸序列,从而充分考虑了蛋白质序...用一种新的信息离散性度量方法,即Function of Degree of Disagreement(FDOD),从蛋白质原始序列出发区分同源二聚体、同源三聚体、同源四聚体和同源六聚体.该方法用蛋白质原始序列的子序列分布来描述氨基酸序列,从而充分考虑了蛋白质序列的信息.随着子序列长度的增加,两个数据集上自检验和jack-knife检验的各个分类指标都有快速增加的趋势,实验表明残基顺序对同源寡聚蛋白质的识别起重要作用,FDOD方法是同源寡聚蛋白质分类的简单而有效的工具.这也进一步证实了蛋白质原始序列包含着四级结构信息.展开更多
SARS-CoV, as the pathogeny of severe acute respiratory syndrome (SARS), is a mystery that the origin of the virus is still unknown even a few isolates of the virus were completely sequenced. To explore the genesis of ...SARS-CoV, as the pathogeny of severe acute respiratory syndrome (SARS), is a mystery that the origin of the virus is still unknown even a few isolates of the virus were completely sequenced. To explore the genesis of SARS-CoV, the FDOD method previously developed by us was applied to comparing complete genomes from 12 SARS-CoV isolates to those from 12 previously identified coronaviruses and an unrooted phylogenetic tree was constructed. Our results show that all SARS-CoV isolates were clustered into a clique and previously identified coronaviruses formed the other clique. Meanwhile, the three groups of coronaviruses depart from each other clearly in our tree that is consistent with the results of prevenient papers. Differently, from the topology of the phylogenetic tree we found that SARS-CoV is more close to group 1 within genus coronavirus. The topology map also shows that the 12 SARS-CoV isolates may be divided into two groups determined by the association with the SARS-CoV from the Hotel M in Hong Kong that may give some information about the infectious relationship of the SARS.展开更多
SARS-CoV, as the pathogeny of severe acute respiratory syndrome (SARS), is a mystery that the origin of the virus is still unknown even a few isolates of the virus were completely sequenced. To explore the genesis of ...SARS-CoV, as the pathogeny of severe acute respiratory syndrome (SARS), is a mystery that the origin of the virus is still unknown even a few isolates of the virus were completely sequenced. To explore the genesis of SARS-CoV, the FDOD method previously developed by us was applied to comparing complete genomes from 12 SARS-CoV isolates to those from 12 previously identified coronaviruses and an unrooted phylogenetic tree was constructed. Our results show that all SARS-CoV isolates were clustered into a clique and previously identified coronaviruses formed the other clique. Meanwhile, the three groups of coronaviruses depart from each other clearly in our tree that is consistent with the results of prevenient papers. Differently, from the topology of the phylogenetic tree we found that SARS-CoV is more close to group 1 within genus coronavirus. The topology map also shows that the 12 SARS-CoV isolates may be divided into two groups determined by the association with the SARS-CoV from the Hotel M in Hong Kong that may give some information about the infectious relationship of the SARS.展开更多
基金Natural Science Foundation of the Education Department of Henan Province,China(2006520022)Youth Foundation of Zhoukou Normal University(ZKNUQN200615)
文摘针对以往基于离散度函数(function of degree of disagreement, FDOD)度量对航空发动机的健康状况进行综合评价时,未全面考虑各指标的权重,导致评价结果不够准确的问题,提出一种改进FDOD度量的综合评价方法。首先,利用序关系分析法(简称为G1法)确定各指标的主观权重,利用因子分析法确定各指标间的相关性,得到各指标的客观权重。其次,基于离差最大化的组合赋权法确定各指标的组合权重,使赋权结果更加科学合理,提高不同对象的区分度。然后,基于组合权重对传统FDOD度量进行改进,以提高综合评价的准确性。最后,通过美国国家航空航天局提供的涡扇发动机性能仿真数据,验证了所提方法的有效性。
文摘SARS(severe acute respiratory syndrome)冠状病毒已被世界卫生组织确认为SARS传染病的病原体,它的全基因组测序工作分别由中国、加拿大、美国等国的研究小组完成。然而它的起源仍是一个谜为了探寻SARS冠状病毒的来源,基于FDOD(function of degree of disagreement)方法,对12个SARS冠状病毒分离株和12种以往发现的冠状病毒进行了全基因组比较,构造出种系进化无根树。结果表明,这两类病毒(分别由12个SARS冠状病毒分离株和12种以往发现的冠状病毒构成)虽然都来自冠状病毒属,但它们位于两个不同的进化分支上。冠状病毒属中的3个组被准确地重构。根据得到的结果,推测SARS冠状病毒更类似于第一组中的冠状病毒。根据种系进化树的拓扑结构和各SARS冠状病毒分离株与造成香港Metropole饭店疫情的SARS冠状病毒株之间的联系,推测各SARS冠状病毒分离株分别位于进化树上两个大的分支,这为SARS的流行病学研究提供了辅助信息。
文摘用一种新的信息离散性度量方法,即Function of Degree of Disagreement(FDOD),从蛋白质原始序列出发区分同源二聚体、同源三聚体、同源四聚体和同源六聚体.该方法用蛋白质原始序列的子序列分布来描述氨基酸序列,从而充分考虑了蛋白质序列的信息.随着子序列长度的增加,两个数据集上自检验和jack-knife检验的各个分类指标都有快速增加的趋势,实验表明残基顺序对同源寡聚蛋白质的识别起重要作用,FDOD方法是同源寡聚蛋白质分类的简单而有效的工具.这也进一步证实了蛋白质原始序列包含着四级结构信息.
文摘SARS-CoV, as the pathogeny of severe acute respiratory syndrome (SARS), is a mystery that the origin of the virus is still unknown even a few isolates of the virus were completely sequenced. To explore the genesis of SARS-CoV, the FDOD method previously developed by us was applied to comparing complete genomes from 12 SARS-CoV isolates to those from 12 previously identified coronaviruses and an unrooted phylogenetic tree was constructed. Our results show that all SARS-CoV isolates were clustered into a clique and previously identified coronaviruses formed the other clique. Meanwhile, the three groups of coronaviruses depart from each other clearly in our tree that is consistent with the results of prevenient papers. Differently, from the topology of the phylogenetic tree we found that SARS-CoV is more close to group 1 within genus coronavirus. The topology map also shows that the 12 SARS-CoV isolates may be divided into two groups determined by the association with the SARS-CoV from the Hotel M in Hong Kong that may give some information about the infectious relationship of the SARS.
文摘SARS-CoV, as the pathogeny of severe acute respiratory syndrome (SARS), is a mystery that the origin of the virus is still unknown even a few isolates of the virus were completely sequenced. To explore the genesis of SARS-CoV, the FDOD method previously developed by us was applied to comparing complete genomes from 12 SARS-CoV isolates to those from 12 previously identified coronaviruses and an unrooted phylogenetic tree was constructed. Our results show that all SARS-CoV isolates were clustered into a clique and previously identified coronaviruses formed the other clique. Meanwhile, the three groups of coronaviruses depart from each other clearly in our tree that is consistent with the results of prevenient papers. Differently, from the topology of the phylogenetic tree we found that SARS-CoV is more close to group 1 within genus coronavirus. The topology map also shows that the 12 SARS-CoV isolates may be divided into two groups determined by the association with the SARS-CoV from the Hotel M in Hong Kong that may give some information about the infectious relationship of the SARS.
