萧山围垦农区臭鼠形态的比较研究

萧山围垦农区臭鼠形态的比较研究ＣＯＭＰＡＲＡＴＩＶＥＳＴＵＤＩＥＳＯＮＴＨＥＭＯＲＰＨＯＬＯＧＹＯＦＴＨＥＭＵＳＫＳＨＲＥＷＫｅｙｗｏｒｄｓＭｕｓｋｓｈｒｅｗＩＣｈａｒａｃｔｅｒｓｏｆｍｏｒｐｈｏｌｏｇｙ动物的形态特征与环境间的相互关系是动物生态学的...     

峨眉山艾纳香属一新种

峨眉山艾纳香属一新种祝正银（四川省中药学校,四川峨眉山６１４２０１）ＡＮＥＷＳＰＥＣＩＥＳＯＦＢＬＵＭＥＡＦＲＯＭＥＭＥＩＳＨＡＮＺｈｕＺｈｅｎｇｙｉｎ（ＳｉｃｈｕａｎｇｃｈｏｌｏｆＣｈｉｎｅｓｅＭａｔｅｒｉａＭｅｄｉｃａ,Ｅｍｅｉｓｈａｎ,Ｓｉｃｈ...     

贵州耳蕨属新资料

贵州耳蕨属新资料王筱英王培善（贵州科学院，贵阳５５０００１）ＮＥＷＭＡＴＥＲＩＡＬＳＦＯＲＰＯＬＹＳＴＩＣＨＵＭＦＲＯＭＧＵＩＺＨＯＵＷａｎｇＸｉａｏｙｉｎｇ，ＷａｎｇＰｅｉｓｈａｎ（ＧｕｉｚｈｏｕＡｃａｄｅｍｙｏｆＳｃｉｅｎｃｅｓ，Ｇｕｉｙａｎｇ５...     

金缕梅科一新组合

金缕梅科一新组合郝日明魏宏图（江苏省·中国科学院植物研究所南京２１００１４）ＡＮＥＷＣＯＭＢＩＮＡＴＩＯＮＯＦＨＡＭＡＭＥＬＩＤＡＣＥＡＥＨＡＯＲｉＭｉｎｇＷＥＩＨｏｎｇＴｕ（ＩｎｓｔｉｔｕｔｅｏｆＢｏｔａｎｙ,ＪｉａｎｇｓｕＰｒｏｖｉｎｃｅａｎ...     

SELF-TRAINING NEURAL NETWORK MODEL FOR REAL TIME TOMOGRAPHY DATA PROCESSING

ＳＥＬＦ—ＴＲＡＩＮＩＮＧＮＥＵＲＡＬＮＥＴＷＯＲＫＭＯＤＥＬＦＯＲＲＥＡＬＴＩＭＥＴＯＭＯＧＲＡＰＨＹＤＡＴＡＰＲＯＣＥＳＳＩＮＧＹｕ．Ｋｕｌｃｈｉｎ;Ｏ．Ｋａｍｅｎｅｙ（Ｄｅｐａｒｔｍｅｎｔｏｆｐｈｙｓｉｃｓ,ＦａｒＥａｓｔｅｒｎＳｔａｔｅＴｅｃ...     

CTALABORATORIUM ANIMALIS SCIENTIA SINICA,INDEX OF CONTENTS Vol.10 No.1-4 2002

Ｎｏ .1ＥｘｐｒｅｓｓｉｏｎａｎｄＳｉｇｎｉｆｉｃａｎｃｅｏｆＶＥＧＦＲｅｃｅｐｔｏｒｓｉｎｔｈｅＮｕｄｅＭｏｕｓｅＭｏｄｅｌｓｗｉｔｈＶａｒｉｏｕｓＨｕｍａｎＴｕｍｏｒｓＬＩＪｕｎｍｉｎ ,ＬＵＨｏｎｇｆｅｎ ,ＴＩＡＮＰｅｉｋｕｎ ,ｅｔａｌ(1)……………………………ＴｈｅＥｆｆｉｃｉｅｎｔＤｅｒｉｖａｔｉｏｎｏｆＥｍｂｒｙｏｎｉｃＳｔｅｍＣｅｌｌＣｏｌｏｎｉｅｓｉｎＫｕｎ ｍｉｎｇＭｏｕｓｅＺＨＯＵＸｉｎ ,ＷＡＮＧＴａｉｙｉ,ＳＨＩＷｅｉｈｏｎｇ ,ｅｔａｌ(5 )………………………………………………………     

天然药物信息(医学期刊扫描:文摘和评论)(英文)

ＮａｔｕｒａｌＭｅｄｉｃｉｎｅＩｎｆｏｒｍａｔｉｏｎ(ＭｅｄｉｃａｌＪｏｕｒｎａｌＷａｔｃｈ :ＡｂｓｔｒａｃｔａｎｄＣｏｍｍｅｎｔｓ)Ｌ ＣａｒｎｉｔｉｎｅＩｍｐｒｏｖｅｓＥｘｅｒｃｉｓｅＴｏｌｅｒａｎｃｅＡｍｏｎｇＡｎｇｉｎａＰａｔｉｅｎｔｓｌｙｅｒＲＮ ,ＫｈａｎＡＡ ,ｅｔａｌ.Ｌ ｃａｒｎｉｔｉｎｅｍｏｄｅｒａｔｅｌｙｉｍｐｒｏｖｅｓｔｈｅｅｘｅｒｃｉｓｅｔｏｌｅｒａｎｃｅｉｎｃｈｒｏｎｉｃｓｔａｂｌｅａｎｇｉｎａ .ＪＡｓｓｏｃＰｈｙｓＩｎ ｄｉａ 4 8(11) :10 5 0～ 10 5 2 ,2 0 0 0 .Ｆｏｒｔｙ ｓ…     

寄生植物和接种物对丛枝菌根菌接种势的影响

在盆栽条件下研究了丛枝菌根菌（ａｒｂｕｓｃｕｌａｒ ｍｙｃｏｒｒｈｉｚａｌ ｆｕｎｇｉ,ＡＭＦ）单孢、多孢和菌根根段接种物及其寄主植物烟草（Ｎｉｃｏｔｉａｎａ ｔａｂａｃｕｍ Ｌ．）、苏丹草（Ｓｏｒｇｈｕｍ ｓｕｄａｎｅｎｓｅ（Ｐｉｐｅｒ）Ｓｔａｐｆ）和三叶草（Ｔｒｉｆｏｌｉｕｍ ｒｅｐｅｎｓ Ｌ．）对ＡＭＦ Ｇｌｏｍｎｓ ｍａｃｒｏｃａｒｐｕｍ Ｔｕｌ、Ｇｌｏｍｕｓ ｍｏｓｓｅａｅ（Ｎｉｃｏｌ＆     

广西獐牙菜属一新种

广西獐牙菜属一新种高成芝（广西中医药研究所,南宁５３００２２）ＡＮＥＷＳＰＥＣＩＥＳＯＦＳＷＥＲＴＩＡＦＲＯＭＧＵＡＮＧＸＩ￥ＧａｏＣｈｅｎｇｚｈｉ（ＧｕａｎｇｘｉＩｎｓｔｉｔｕｔｅｏｆＴｒａｄｉｔｉｏｎａｌＭｅｄｉｃａｌ＆Ｐｈａｒｍａｃｅｕｔｉｃａ...     

云南锡兰莲属一新变种

云南锡兰莲属一新变种费勇（中国科学院昆明植物研究所，昆明６５０２０４）ＡＮＥＷＶＡＲＩＥＴＹＯＦＮＡＲＡＶＥＬＩＡＦＲＯＭＹＵＮＮＡＮＦｅｉＹｏｎｇ（ＫｕｎｍｉｎｇＩｎｓｔｉｔｕｔｅｏｆＢｏｔａｎｙ，ＣｈｉｎｅｓｅＡｃａｄｅｍｙｏｆＳｃｉｅｎｃｅｓ，...     

基于盒维数的心音信号分形特征研究

在传统盒维数的基础上,从尺度变化的角度,提出一种计算心音信号时域波形分形维数的新的二进盒维数算法,并给出了算法思想和估算方法;然后用该方法对正常心音和几种典型的病态心音的分形维数进行计算,并对其分形特征进行了研究．研究结果表明：心音信号具有明显的分形特征,分形维数能够反映心音信号的复杂程度,并且能够明显地区分正常心音和病态心音．     

Fractal properties of forest spatial structure

The definition of fractal dimension of natural objects, which enables to deal with scale dependence of fractal dimension is discussed. Abrupt changes of fractal dimension of spatial structure of terrestrial ecosystems are considered in the context of hierarchical paradigm. On this ground the procedure is proposed for segmentation of a territory, which takes into account the scale dependence of spatial variability of ecological parameters. Using remotely sensed data — normalized difference vegetation index (NDVI) and thermal radiation in the infrared band — fractal dimensions and critical scales are evaluated for different forest types with the help of software, developed for this purpose. The results obtained corroborate the potentialities of fractal approach in ecology. These methods and results can be used for discrimination of remotely sensed data; but further investigations, including detailed comparison of fractal characteristics of remotely sensed forest images with results of on-site field studies are necessary to validate them.     

Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage

Background

The sensitivity of Optical Coherence Tomography (OCT) images to identify retinal tissue morphology characterized by early neural loss from normal healthy eyes is tested by calculating structural information and fractal dimension. OCT data from 74 healthy eyes and 43 eyes with type 1 diabetes mellitus with mild diabetic retinopathy (MDR) on biomicroscopy was analyzed using a custom-built algorithm (OCTRIMA) to measure locally the intraretinal layer thickness. A power spectrum method was used to calculate the fractal dimension in intraretinal regions of interest identified in the images. ANOVA followed by Newman-Keuls post-hoc analyses were used to test for differences between pathological and normal groups. A modified p value of <0.001 was considered statistically significant. Receiver operating characteristic (ROC) curves were constructed to describe the ability of each parameter to discriminate between eyes of pathological patients and normal healthy eyes.

Results

Fractal dimension was higher for all the layers (except the GCL + IPL and INL) in MDR eyes compared to normal healthy eyes. When comparing MDR with normal healthy eyes, the highest AUROC values estimated for the fractal dimension were observed for GCL + IPL and INL. The maximum discrimination value for fractal dimension of 0.96 (standard error =0.025) for the GCL + IPL complex was obtained at a FD ≤ 1.66 (cut off point, asymptotic 95% Confidence Interval: lower-upper bound = 0.905-1.002). Moreover, the highest AUROC values estimated for the thickness measurements were observed for the OPL, GCL + IPL and OS. Particularly, when comparing MDR eyes with control healthy eyes, we found that the fractal dimension of the GCL + IPL complex was significantly better at diagnosing early DR, compared to the standard thickness measurement.

Conclusions

Our results suggest that the GCL + IPL complex, OPL and OS are more susceptible to initial damage when comparing MDR with control healthy eyes. Fractal analysis provided a better sensitivity, offering a potential diagnostic predictor for detecting early neurodegeneration in the retina.     

Correcting for finite spatial scales of self-similarity when calculating fractal dimensions of real-world structures

Fractal geometry is a potentially valuable tool for quantitatively characterizing complex structures. The fractal dimension (D) can be used as a simple, single index for summarizing properties of real and abstract structures in space and time. Applications in the fields of biology and ecology range from neurobiology to plant architecture, landscape structure, taxonomy and species diversity. However, methods to estimate the D have often been applied in an uncritical manner, violating assumptions about the nature of fractal structures. The most common error involves ignoring the fact that ideal, i.e. infinitely nested, fractal structures exhibit self-similarity over any range of scales. Unlike ideal fractals, real-world structures exhibit self-similarity only over a finite range of scales.Here we present a new technique for quantitatively determining the scales over which real-world structures show statistical self-similarity. The new technique uses a combination of curve-fitting and tests of curvilinearity of residuals to identify the largest range of contiguous scales that exhibit statistical self-similarity. Consequently, we estimate D only over the statistically identified region of self-similarity and introduce the finite scale- corrected dimension (FSCD). We demonstrate the use of this method in two steps. First, using mathematical fractal curves with known but variable spatial scales of self-similarity (achieved by varying the iteration level used for creating the curves), we demonstrate that our method can reliably quantify the spatial scales of self-similarity. This technique therefore allows accurate empirical quantification of theoretical Ds. Secondly, we apply the technique to digital images of the rhizome systems of goldenrod (Solidago altissima). The technique significantly reduced variations in estimated fractal dimensions arising from variations in the method of preparing digital images. Overall, the revised method has the potential to significantly improve repeatability and reliability for deriving fractal dimensions of real-world branching structures.     

红树植物木榄种群高度结构的分形特征

 采用计测等值线分形维数的方法,探讨山口国家级红树林自然保护区内的木榄(Bruguiera gymnorrhiza)种群高度结构的特征。结果表明,木榄种群的高度结构具有分形的特征,其计盒维数介于1.61～1.90之间,信息维数介于1.63～1.84之间,分形维数的高低主要与幼树个体的数量、个体的集聚程度和高度层次结构的复杂程度等密切相关。计盒维数定量描述种群占据垂直空间的能力和程度,而信息维数揭示种群高度层次细节的尺度变化强度和个体高度分布的非均匀性程度。分析表明,等值线法能够有效地表征木榄种群高度结构的分     

Fractal dimension rectified meter for quantification of liver fibrosis and other irregular microscopic objects

OBJECTIVE: To introduce a new mathematical method based on the principles of fractal geometry analysis that permits more realistic quantification of some of the physical (morphologic) aspects of irregular bodies appearing under microscopy. STUDY DESIGN: The principles of the method were tested on microscopic images of irregular collagen deposition in liver tissue. The method uses an ad hoc rectified meter implemented in a computer-assisted planar image analysis system that has been adapted to give metric measures of irregular outlines and surfaces that can be used to produce an index capable of quantifying the typical wrinkledness of biologic objects. Prototypical example measures of liver fibrosis were made on biopsy specimens showing chronic hepatitis C virus-related disease. Measurements were also made of the microscopic images of the abnormal deposition of lipid droplets in hepatocytes, a case of amyloid deposition in an osteoarthromuscular structure and a cytologic specimen of human dendritic cells. RESULTS: The proposed computer-aided method permits rapid measurements of the image of a whole biopsy section digitized at high magnification. The snapshot measurement of liver fibrosis deposition offered by a biopsy pattern is a valid means of more rigorously identifying the staging of the process. CONCLUSION: This method can measure liver fibrosis during chronic liver disease as well as any other irregular biologic structure that cannot be correctly quantified using traditional Euclidean-based metric methodologies.     

铅染毒大鼠脑电信号的分形特性研究

利用混沌时间序列的分析方法,对铅中毒情况下的大鼠的脑电波进行了测试和分析,求出了其分形维数。从研究结果中得出了铅中毒情况与脑电信号的分形维数之间的关系,结果表明,铅中毒会引起脑电信号的分形维数的显著变化。通过这一工作,能够为临床上重金属中毒的早期诊断提供新的方便、灵敏的指标。     

植被格局的分形模型：植被格局的分形特征

 目前植被格局研究存在一些问题,分形模型是解决这些问题的有力工具。选择从分枝到景观的各个等级层次上若干有代表性的研究实例进行介绍,给出了尺度、自相似性和分形维数在植被格局研究中的应用方法,说明了分形模型描述植被格局的实用性和优越性。在此基础上提出植被格局的分形机制,认为植被格局是具有自组织特征的分形体。最后对植被格局的分形模型进行了评价,提出研究中需要注意的若干问题以及未来的发展方向。     

放牧和刈割条件下草山草坡群落空间异质性分析

采用变异矩分析和分形方法,研究了草山草坡群落在放牧和刈割条件下的空间异质性及空间自相关性,结果表明,群落空间格局有尺度依赖性,刈割条件下空物异质性及空间相关性弱,多样性梯度即β多样性小,放牧消除地形引起的样地差异,因而使空间异质性简单化。