基于时间聚类分析和独立成分分析的癫痫fMRI盲分析方法

提出了一种基于时间聚类分析和独立成分分析的癫痫fMRI数据盲分析方法,并将两种方法有效联合,提取发作间期的癫痫fMRI激活时空信息.该方法首先由时间聚类分析得到与激活相关的时间峰度特征曲线,以此特征作为时间参考信息;再由空间独立成分分析分解fMRI信号得到空间独立成分;最后将每个独立成分所对应的时间曲线与参考曲线做相关分析提取相应脑激活图.提出的方法无需任何关于癫痫fMRI的先验假设信息,有效解决了独立成分的排序问题,实现了对数据的盲分析.仿真试验结果阐明了这一方法的有效性及可靠性,对癫痫数据的试验结果显示空间定位准确性优于统计参数图方法.     

生态模型的灵敏度分析

灵敏度分析用于定性或定量地评价模型参数误差对模型结果产生的影响,是模型参数化过程和模型校正过程中的有用工具,具有重要的生态学意义．灵敏度分析包括局部灵敏度分析和全局灵敏度分析．局部灵敏度分析只检验单个参数的变化对模型结果的影响程度;全局灵敏度分析则检验多个参数的变化对模型运行结果总的影响,并分析每一个参数及其参数之间相互作用对模型结果的影响．目前,在对生态模型的灵敏度分析中,越来越倾向于使用全局灵敏度分析的方法．但国内仍多采用局部灵敏度分析方法,很少采用全局灵敏度分析方法．文中详细论述了局部灵敏分析和全局灵敏度分析的主要方法(一次变换法、多元回归法、Morris法、Sobol’法、傅里叶幅度灵敏度检验法和傅里叶幅度灵敏度检验扩展法),希望能为国内生态模型的发展提供一个比较完善的灵敏度分析方法库．结合国内外的灵敏度分析发展现状,指出联合灵敏度研究、灵敏度共性研究及空间直观景观模型的灵敏度分析将为生态模型灵敏度分析研究中的热点和难点．     

基于物质流分析和数据包络分析的区域生态效率评价——以江苏省为例

区域生态效率(eco-efficiency)评价是考量区域可持发展的重要内容.基于物质流分析(material flow analysis, MFA)构建区域生态效率评价指标体系,并将污染物排放作为一种非期望输入引入到数据包络分析(data envelopment analysis, DEA)模型中,以江苏省(1990～2005年)为例进行生态效率分析评价.结果表明,江苏省的区域生态效率在1990～2005年期间呈现逐步上升的趋势.但是,同期的总物质投入(total material input, TMI)、物质需求总量(total material requirement, TMR)和污染物排放量也呈上升趋势.因此,江苏省社会经济发展和环境影响总体上呈现"弱脱钩(weak de-link)".     

生态系统的能值分析

论述了国际生态学最新发展的能值(Emergy)分析方法与原理,并与能量分析作比较研究.任何产品或劳务形成过程中所需投入的直接和间接的一种有效能之量称为其具有的能值;单位能量相当的能值称为该能量的能值转换率.能值和能值转换率揭示了能量的能质、等级及其真实价值;以能值尺度可衡量比较不同类别的能量,综合分析各种生态系统的生态流,定量研究生态与经济效率及其关联.     

生态系统的能值分析

论述了国际生态学最新发展的能值（Emergy）分析方法与原理,并与能量分析作比较研究,任何产品或劳务形成过程中所需投入的直接和间接的一种有效能之量称为其具有的能值;单位能量相当的能值称为该能量的能值转换率,能值和能值转移率揭示了能量的能质、等级及其真实价值;以能值尺度可衡量比较不同类别的能量,综合分析各种生态系统的生态流,定量研究生态与经济效率及其关联。     

农业生态系统能量分析

农业生态系统的能量分析从能流着手进行农业生态系统的功能量化分析,是农业生态系统重要的研究方法之一。本文简要回顾讨论了农业生态系统能量分析研究的历史和进展。着重讨论了能值分析方法对传统能量分析方法的新发展,分析了农业生态系统能量分析目前存在的问题,并就其进一步发展方向进行了探讨能值分析方法用生产某种能量或物质所直接或间接耗用的太阳能值量来衡量该能量或物质的价值,不仅在概念上而且在算法上都是原有能量分析方法的新发展．发展到能值分析阶段的农业生态系统的能量分析方法亦存有自身的不足之处,如能值转换率的计算过于繁复,能值指标体系缺乏统一性及系统可持续发展的能值综合评价指标缺乏等。这些问题的解决与能值最大功率的明晰化、能值分析与能量及耗散分析的结合、与物质分析及景观结构分析的结合等研究等共同构成了农业生态系统能量分析的几大发展方向。     

Comparison of SR-excited X-ray fluorescence analysis with neutron activation analysis for hair and fiber

Human scalp hair and some kinds of vegetable and animal fibers were analyzed by means of the SR excited X-ray fluorescence method (SRXFA) and the neutron activation method (NAA). Human hair samples collected from five males and five females were washed by the IAEA method prior to analysis. In the SRXFA analysis, samples were excited by monochromated X-rays. Fluorescence X-rays were measured by an Si(Li) detector. The elements detected in all hair samples were S, Ca, Cu, Fe, Zn, Br, and Sr. The elements K, Ti, Cr, Mn, Ni, Se, Hg, and Pb were also detected in several samples. After SRXFA analysis these same samples were analyzed by the NAA method. Elements such as Cu, Zn, and Br were detected by both methods, and their relative concentrations show a good agreement of variation between individuals. However, Pb was only detected by SRXFA, and Na, Au, and Sb were only detected by NAA. Therefore, these two methods are complementary to each other for trace element analysis.     

斑龙芋属植物的系统发育分析

运用分支分类分析方法对斑龙芋属及其近缘属进行系统发育分析,以4个属的15个种作为15个分支分类单位,选择菖蒲科的菖蒲作为外类群,从斑龙芋属植物特征中选取了14个性状作为建立数据矩阵的基本资料,并以外类群比较和通行的形态演化规律,及核型演化规律为依据对这些性状进行极化,采用改进的最大同步法和最小平行法进行分类运算,按照最简约的原则,运用演化长度较短的最大同步法谱系分支图,作为讨论的基础,讨论了斑龙芋属及其近缘属的系统关系。     

对应分析和去趋势分析在有蹄类取食模式研究中的应用

本研究将2009年1月和2010年1月小兴安岭大沾河湿地自然保护区二可河林场内驼鹿冬季食性作为原始数据,分别以对应分析（CA）、去趋势分析（DCA）,并将数据以样本为单位进行标准化后,再进行去趋势分析（DCA_std）3种排序方法,对驼鹿冬季取食模式进行了研究,后通过普鲁克分析,比较了不同排序方法对大型有蹄类取食模式研究的效果。结果表明,3种排序法的1轴和2轴均能涵盖绝大多数信息量,CA涵盖79.27%,DCA涵盖66.65%,DCA_std涵盖68.22%;3种方法均能够在1轴上区分针叶树和落叶乔木类食物,在2轴上,3种方法主要能够达到针叶树种与除落叶乔木外的其他植物类别的区分。虽三者均能够展现有蹄类取食模式,但在图形可视化后,仅DCA_std无明显的弓形效应。普鲁克分析结果表明,DCA_std样本位移平方和与CA和DCA均有很大差异,即将数据先进行标准化再进行DCA分析能够有效去除弓形效应。因此,在由多度组成的食性数据在进行标准DCA分析前,应对数据进行前期处理会得到更好的效果。同时,以样本为单位的标准化将使排序分析结果生态学意义更明确。     

城市生态网络分析研究进展

自生态网络分析方法提出40多年来,其理论发展和应用实践不断拓展,但直至21世纪才不断引入到城市生态系统研究中,用以分析城市内部多个主体和多种生态流构成的关联网络。目前,城市生态网络分析集中于生态网络分析方法与指标的拓展及多尺度的应用研究,而生态网络分析方法又形成了上升性分析和环境元分析两大分支,多尺度应用涵盖了城市镶嵌的区域背景尺度和城市内部产业部门之间的细节尺度。然而,当前研究仍存在着多尺度融合、多种生态网络分析方法集成不足等问题,这限制了城市生态网络分析方法在城市规划设计中的应用。未来城市生态网络分析研究集中于如下3点:(1)开展多尺度城市生态网络分析,包括城市群-城市-园区/社区等,构建多级嵌套生态网络模型;(2)集成上升性与环境元分析方法,提出由外在表征到内在过程的城市生态系统评价模式及模拟方法;(3)强调自然节点在城市生态网络中的重要作用,形成社会经济节点与自然节点并重的生态网络模型,并强调构建多精度的生态网络模型服务于不同的研究目的。     

典范趋势面分析及其在山西省沙棘灌丛水平格局分析中的应用

介绍一种综合趋势面的分析方法——典范趋势面分析。典范趋势面分析是典范相关分析与趋势面分析的结合,它克服了趋势面分析的缺陷,能同时对单母体空间上的多变量进行分析,拟合一个综合趋势面。通过对山西沙棘灌丛水平格局的分析介绍了典范趋势面分析的应用,并比较了趋势面分析与典范趋势面分析。     

Multilevel functional clustering analysis

Summary In this article, we investigate clustering methods for multilevel functional data, which consist of repeated random functions observed for a large number of units (e.g., genes) at multiple subunits (e.g., bacteria types). To describe the within- and between variability induced by the hierarchical structure in the data, we take a multilevel functional principal component analysis (MFPCA) approach. We develop and compare a hard clustering method applied to the scores derived from the MFPCA and a soft clustering method using an MFPCA decomposition. In a simulation study, we assess the estimation accuracy of the clustering membership and the cluster patterns under a series of settings: small versus moderate number of time points; various noise levels; and varying number of subunits per unit. We demonstrate the applicability of the clustering analysis to a real data set consisting of expression profiles from genes activated by immunity system cells. Prevalent response patterns are identified by clustering the expression profiles using our multilevel clustering analysis.     

鄱阳湖湿地生态能值分析研究

应用奥德姆 (H.T.Odum)创立的生态经济系统能值分析理论 ,定量分析鄱阳湖湿地生态系统内的物流和能流。研究认为分析湿地生态效益主要有 4个步骤 ,即 :(1 )建立概念性的能值分析系统 ,全面反映能值分析方法 ;(2 )能值指标系统分析表制作与能值计算 ;(3)能值指标估算 ;(4 )依能值指标系统分析表和能值图解阐述湿地生态效益。通过整理实地考察所获数据和历史资料 ,运用所提的方法进行分析研究 ,其湿地生态系统能值图解和能值指标分析表的分析结果表明 :鄱阳湖湿地的投入量太阳能值为 3.36× 1 0 1 9sej,产出量太阳能值为 3.0 7× 1 0 2 0 sej,初级生产力为 5 .0 4× 1 0 1 9sej,不可再生能源或资源为 6 .35× 1 0 1 9sej,资本投入 /产出中的生态服务、生态旅游和科研工作太阳能值分别有 8.79× 1 0 1 9sej,4 .80× 1 0 1 9sej,1 .0 5× 1 0 1 9sej,总计 1 .4 6× 1 0 2 0sej,进而得出鄱阳湖湿地生态系统整体投入 /产出的效益良好。湿地水禽的太阳能值为 1 .6 1× 1 0 2 0 sej,说明鄱阳湖湿地在保护水禽方面的地位不可替代 ,在长江流域内有着非常重要的生态功能     

Microphotometric dynamic analysis of the histochemical acetylcholinesterase reaction

Dynamic analysis of the histochemical reaction of Karnovsky-Roots for acetylcholinesterase activity (AChE) is reported. Two methods were used. The first method was videography and densitometric analysis of frames from the film. The second method was direct microphotometric analysis of the reaction dynamics by the plug-method (measurement of average light transmission through a limited area of preparation or image). Special microchambers were used on the stage of an inverted microscope. The results showed the dynamics of final product accumulation in two structures of rat caudate nucleus: AChE-positive neuropil and the AChE-negative myelin bundle during histochemical incubation. Videography and densitometry of the digital images allowed morphologic and microphotometric analysis of changes in tissue sections during incubation, and the dynamic analysis permitted the study of enzyme kinetics in situ. Problems associated with microphotometric analysis of digital images for quantitative histochemical studies of the enzyme activity are discussed.     

Microphotometric dynamic analysis of the histochemical acetylcholinesterase reaction

Dynamic analysis of the histochemical reaction of Karnovsky-Roots for acetylcholinesterase activity (AChE) is reported. Two methods were used. The first method was videography and densitometric analysis of frames from the film. The second method was direct microphotometric analysis of the reaction dynamics by the plug-method (measurement of average light transmission through a limited area of preparation or image). Special microchambers were used on the stage of an inverted microscope. The results showed the dynamics of final product accumulation in two structures of rat caudate nucleus: AChE-positive neuropil and the AChE-negative myelin bundle during histochemical incubation. Videography and densitometry of the digital images allowed morphologic and microphotometric analysis of changes in tissue sections during incubation, and the dynamic analysis permitted the study of enzyme kinetics in situ. Problems associated with microphotometric analysis of digital images for quantitative histochemical studies of the enzyme activity are discussed.     

基因水平的关联分析方法

全基因组关联研究(Genome wide association study, GWAS)已经在国内外的医学遗传学研究中得到广泛应用, 但是GWAS数据中所蕴含的与多基因复杂性状疾病机制相关的丰富信息尚未得到深度挖掘。近年来, 研究者采用生物网络分析和生物通路分析等生物信息学和生物统计学手段分析GWAS数据, 并探索潜在的疾病机制。生物网络分析和生物通路分析主要是以基因为单位进行的, 因此必须在分析前将基因上全部或者部分单个单核苷酸多态性(Single nucleotide polymorphism, SNP)的遗传关联结果综合起来, 即基因水平的关联分析。基因水平的关联分析需要考虑单个SNP的遗传关联、基因上SNP数量和SNP之间的连锁不平衡结构等多种因素, 因此不仅在遗传学的概念上也在统计方法方面具有一定的复杂性和挑战性。文章对基因水平的关联分析的研究进展、原理和应用进行了综述。     

HPLC fingerprints combined with principal component analysis,hierarchical cluster analysis and linear discriminant analysis for the classification and differentiation of Peganum sp. indigenous to China

Introduction – Seeds of wild Peganum harmala Linn., P. multisectum (Maxim) Bobr., P. nigellastrum Bunge and a probable indeterminate species, herein referred to as P. variety, are commonly used in Chinese medicine. These seeds cannot be differentiated based on morphology. Objective – Seeds of P. harmala Linn., P. multisectum (Maxim) Bobr., P. nigellastrum Bunge and P. variety were collected in different provinces in China and their HPLC profiles were recorded for statistical analysis and pattern recognition. Methodology – HPLC chromatograms of seed extracts were recorded under the same conditions. Individual HPLC chromatograms for each species were evaluated against the mean chromatogram for the same species generated using a similarity evaluation computer program. Data from chromatographic fingerprints were also processed using principal component analysis (PCA), hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). Results – The Peganum sp. seed extracts had similar HPLC fingerprints but with some inter‐specific differences. The chromatographic fingerprints combined with PCA, HCA and LDA could distinguish the seeds of the different species of Peganum investigated. Conclusion – HPLC fingerprints can be used to authenticate and differentiate the seeds of three different species of genus Peganum indigenous to China. The results indicated that the unidentified P. variety might indeed be a new species or variety. Copyright © 2009 John Wiley & Sons, Ltd.     

经济系统物质流分析研究述评

作为研究经济系统物质代谢的重要方法,经济系统物质流分析方法近年来在资源与环境管理领域得到了广泛的应用,理论发展非常迅速。对经济系统物质流分析进行了系统综述,以期为更深入的理论研究提供参考。系统回顾了经济系统物质流分析的发展历史,介绍了其核算框架和指标体系。重点对经济系统物质流分析的研究现状进行了总结和述评,研究表明:(1)在经济系统物质流分析指标的核算研究方面:国家层面的核算研究多、方法较为成熟,而区域层面的核算研究尚未形成成熟的核算框架;针对直接流指标的核算研究多,而包含间接流或隐藏流的综合指标的核算方法研究不足;(2)在经济系统物质流分析指标的变化原因研究方面,目前的研究较少,研究方法包括分解分析法和回归分析法:前者多基于IPAT方程的直接分解法,难以考察经济系统内部的结构和技术的变化对经济系统物质流分析指标的影响,而后者则在所识别的经济系统物质流分析指标的影响因素方面具有较大差异。提出了经济系统物质流分析的未来研究方向。     

Structured gene-environment interaction analysis

For the etiology, progression, and treatment of complex diseases, gene-environment (G-E) interactions have important implications beyond the main G and E effects. G-E interaction analysis can be more challenging with higher dimensionality and need for accommodating the “main effects, interactions” hierarchy. In recent literature, an array of novel methods, many of which are based on the penalization technique, have been developed. In most of these studies, however, the structures of G measurements, for example, the adjacency structure of single nucleotide polymorphisms (SNPs; attributable to their physical adjacency on the chromosomes) and the network structure of gene expressions (attributable to their coordinated biological functions and correlated measurements) have not been well accommodated. In this study, we develop structured G-E interaction analysis, where such structures are accommodated using penalization for both the main G effects and interactions. Penalization is also applied for regularized estimation and selection. The proposed structured interaction analysis can be effectively realized. It is shown to have consistency properties under high-dimensional settings. Simulations and analysis of GENEVA diabetes data with SNP measurements and TCGA melanoma data with gene expression measurements demonstrate its competitive practical performance.