脑磁图神经活动源数目的估计

在脑磁图信号的分析中,正确估计出脑磁图神经活动源的数目是进一步分析脑磁图信号的前提。目前广泛采用的信息论方法和主成分分析方法都是根据特征值来确定源的数目,这两种方法在源数目较多、噪声较强的情况下,会导致误判。该文提出了一种噪声调节自动阈值的脑磁图源数目判断方法,利用基于噪声调节的主成分分析并结合聂曼- 皮尔逊准则对脑磁图源数目进行估计。同时,该方法采用了基于小波的噪声方差估计,实现了脑磁图信号中噪声方差的精确估计。通过对基于信息论方法、主成分分析方法以及该文所提议方法的实验结果的比较,表明该文所提议方法能更准确地估计脑磁图源数目,特别是在源数目较多、信噪比较小的情况下,仍能准确地估计脑磁图源数目,具有较大的实际意义。     

Determination of plant species cover by means of image analysis

Abstract. A method is described for the determination of plant species cover in herbaceous plant communities by means of image analysis. It is a computerized extension of the quadrat-charting method. The method was tested with four different computer systems for three different vegetation types, a shady lawn, a pioneer vegetation and a forest floor. We compared the results with vertical point-intercept analyses of the same stands. Image analysis revealed a high accuracy of the method ranging from < ± 1 to about ± 2% cover depending on the dominance of the species being analysed. The method is particularly suitable for the analysis of low herbaceous or unsaturated vegetation, dominance stands of broad-leaved plant species and for the analysis of cover changes in permanent plots.     

Determination of the association constants and maximum binding capacities between estradiol and cytosol of the uterus by the least-squares analysis of the Scatchard plot.

The association constants and the binding capacities of association of small molecules with macromolecules have been determined by the tangent analysis, the graphical analysis, and the computer data analysis, by trial and convergence of the Scatchard plot. The analytical method for the calculation of the binding parameters based on the Scatchard plot was derived and the optimum values of the binding parameters were obtained by the least squares calculation based on the analytical method. The errors by the analytical method were smaller than those by the graphical method in the equilibrium system between 3H-estradiol and some cytosols of uterus.     

The Use of Canonical Correlation Analysis in the Investigation of Relationships Between Plant Growth and Environmental Factors

The relationship between environmental factors and growth inImpatiens parviflora was analysed by the method of canonicalcorrelation analysis. The method was able to identify the majorrelationships which had been detected by conventional methodsof analysis. The method was also able to detect relationshipsnot identified by conventional methods. The canonical correlationanalysis also clearly showed that relationships between growthand environment detected at a plant dry weight of 100 mg couldalso be detected at 300 mg despite masking due to ontogeneticdrift and confusion by different patterns of adaptation. Itis concluded that the method of canonical correlation analysisis most useful for the analysis of considerable bodies of datarelating plant growth to environmental factors. Marked effectsof spectral composition on growth and development of both leavesand stems were demonstrated. Different spectral compositioneffects on hypocotyl and internode elongation exist. Impatiens parviflora, growth analysis, canonical correlation analysis, spectral composition, stemelongation     

随机配对法在亚高山草甸优势种群格局分析中的应用

随机配对法是植物种群格局分析的主要方法之一,理论上讲它是最好的方法,因为他改进了等级方差法的所有缺点.但该方法还没有在我国研究实践中应用过.本文将随机配对法应用于芦芽山亚高山草甸群落优势种群的格局研究.结果较好地反映了种群的空间特征.该方法分辨力较强,可以揭示各种格局规模.     

Comparison of methods for measuring soil microbial activity using cotton strips and a respirometer

In order to develop a method of measuring the level of microbial activity in soil that is suitable for use by farmers, land managers, and other non-scientists, a simple method for determining soil microbial activity was evaluated and compared with two standard techniques. Soils sampled from vegetable farms in south east Queensland were incubated in the laboratory under controlled moisture and temperature conditions. Three methods were used to measure soil microbial activity, a respirometry method and two methods using the cotton strip assay (CSA) technique (image analysis and tensometer). The standard CSA method measured loss of tensile strength over a 35 day incubation period of buried cotton strips using a tensometer. The new CSA technique measured the intensity of staining by microbes using a flatbed scanner to create an image of the cotton strip whose staining percentage was determined using Photoshop software. The respirometry method used the substrate induced respiration rate (SIR) to determine microbial biomass in the soil at day 12 of incubation. The strong correlation between the image analysis method and the tensometer method (r(2)=0.81), a technique used by scientific researchers, suggests that the image analysis method could be used to monitor aspects of soil biological health by general community land-care groups and farmers. The image analysis method uses equipment which is readily available and, while not strongly correlated with more precise measurements of soil biological activity such as microbial biomass (r(2)=0.26), it can detect gross trends in biological health in a soil monitoring program. The CSA method using image analysis was the cheapest technique to measure soil microbial activity. CSA using image analysis can be a valuable tool in conjunction with other simple indicators of soil physical and chemical health such as slaking and pH to monitor soil amelioration or rehabilitation programs.     

Validation of a reversed-phase HPLC method for quantitative amino acid analysis.

A semi-automated method for amino acid derivatization and analysis has been validated for use in analysis of protein biopharmaceuticals. The method includes protein hydrolysis, o-phthalaldehyde derivatization, and reversed-phase high-performance liquid chromatography analysis in a general-purpose UV-visible high-performance liquid chromatography system. Amino-acid derivatization is performed automatically by the high-performance liquid chromatography autosampler right before injection. The required validation parameters, i.e., specificity, linearity, accuracy, precision, limit of detection, and limit of quantification, were studied for bovine serum albumin and for a recombinant human Fab fragment. The method can be employed as an absolute quantification method for determination of extinction coefficients of recombinant proteins.     

Information quantification of empirical mode decomposition and applications to field potentials

The empirical mode decomposition (EMD) method can adaptively decompose a non-stationary time series into a number of amplitude or frequency modulated functions known as intrinsic mode functions. This paper combines the EMD method with information analysis and presents a framework of information-preserving EMD. The enhanced EMD method has been exploited in the analysis of neural recordings. It decomposes a signal and extracts only the most informative oscillations contained in the non-stationary signal. Information analysis has shown that the extracted components retain the information content of the signal. More importantly, a limited number of components reveal the main oscillations presented in the signal and their instantaneous frequencies, which are not often obvious from the original signal. This information-coupled EMD method has been tested on several field potential datasets for the analysis of stimulus coding in visual cortex, from single and multiple channels, and for finding information connectivity among channels. The results demonstrate the usefulness of the method in extracting relevant responses from the recorded signals. An investigation is also conducted on utilizing the Hilbert phase for cases where phase information can further improve information analysis and stimulus discrimination. The components of the proposed method have been integrated into a toolbox and the initial implementation is also described.     

The combination of photogrammetry and finite elements for a fine grained functional analysis of anatomical structures

Summary A new method of functional morphological analysis is presented. Combining stereophotogrammetry with the finite element technique, a new approach, permits a three-dimensional numerical stress analysis of arbitrarily shaped bodies to be performed. The stereophotogrammetric method which originated for three-dimensional calculations in the study of surfaces in land surveying is well suited for the determination of the nodal co-ordinates required for the finite element method, an engineering technique developed for behavioural analysis of solids and fluids responding to external forces. This approach was tested in a study of the functional morphology of the bill of an African wading bird, the shoebill Balaeniceps rex. A few findings of that study are given here in order to demonstrate the method. Advantages of the finite element method compared with other techniques for stress analysis of anatomical structures are also discussed. The method presents exciting possibilities for predicting displacement and stress responses more accurately and in much greater detail. The scope of this powerful computerized stress analysis technique is greatly enhanced with the introduction of stereophotogrammetry for determining the three-dimensional co-ordinates of complex anatomical structures. With the finite element method, the properties of the bone structure can be modelled as they occur in the life of the animal. This is not possible with physical models. Furthermore, rare specimens can be analysed non-destructively.     

The generalized torque approach for analyzing the results of pedaling tests

This paper deals with the analysis of experimental data obtained using an ergometer apparatus. A straightforward analysis method based on the power equation and the concept of generalized torques is presented. This method makes it possible to study the influence of the net muscle joint torques and gravity and inertia forces on the crank torque. The assumptions and limitations of the proposed method are discussed and this method is compared with the methods of analysis proposed by other researchers. In order to assess the validity of the method, some experimental data are elaborated. Results show that the method can highlight the effect of training and the pedaling technique of an athlete.     

混合家系遗传参数估计方法研究

针对混合家系遗传参数估计,本文在假定公畜方差组分和母畜方差组分相等这一理论基础上,通过对方差分析的期望均方组成分析,提出了新的遗传力估计方法,以及某些特殊情况下的近似估计方法。通过一个估测实例比较了几种遗传力估计方法,结果表明,本文方法与全同胞组分估计最为接近,而且遗传力标准误最小,本文近似估计方法的效果也较好。对各种方法而言,资料越不平衡其差异越大。本文方法可以在一定程度上弥补全同胞分析时,因实际资料的公母畜方差组分差异过大的缺陷,具有实际可行性。此外,由于本文方法是用单因方差分析解决二因方差分析问题,计算更为简便,并可免于计算混合家系平均亲缘相关系数。     

Automatic television analyzer of micro-objects for morphometric research on blood cells

A method of karyometric analysis of blood cells and the hardware for its realization are described. The method is based on TV object image analysis, and involves measuring videosignal parameters.     

MTT法检测细菌细胞数的主要影响因素分析

MTT法是生物活细胞计数的灵敏、快速和便捷方法。报告对MTT法应用于细菌细胞数定量分析时的分析前培养时间、MTT反应时间、MTT剂量和检测波长等主要影响因素的分析结果,同时报告MTT反应产物溶解检测与直接检测,以及MTT法与平板菌落计数法定量检测的结果比较。结果如下：Formazan生成量与细菌活细胞数呈正相关,对数生长期变化最明显;MTT为0.25 mg/mL,反应2 h时吸光值与菌落数具有良好的线性关系（r=0.999 8）;Formazan的最大吸收波长为570～580 nm;MTT反应产物溶解检测和直接检测结果经统计学分析无显著性差异（P〉0.05）;细菌细胞数在107～109 cfu/mL范围内,MTT法与菌落计数法定量结果呈现良好的线性关系（r≥0.991 7）。     

Methods of Phytolith Analysis

Methods of phytolith analysis adopted from abroad as well as the authors' own experiences are introduced. It consists of two parts: The field method and the laboratory method of phytolith analysis; the former consists of plant collection, surface soil, stratum and archaeological samplings and the latter includes use of modern plants, soil sediment and archaeological phytolith analysis.     

Analysis of ligand-receptor binding by the difference method

A new method has been proposed for analysis of experimental data on ligand-receptor binding at equilibrium. This method makes it possible to detect heterogeneity of a receptor system in cases where the contribution of the high-affinity site to total binding is rather small and the problem of graphic discrimination of a model cannot be solved unambiguously by other methods. The difference method permits us to exclude experiments on measuring nonspecific binding. A computer program for analysis of ligand-receptor binding has been worked out in which the difference method and traditional methods of binding isotherm analysis are realized. Numerical modeling has shown that the best strategy in experimental data processing is the treatment of total binding isotherms by both the difference method and regression analysis, including the nonspecific binding constant as one of the regression parameters.     

A novel high-performance anion-exchange chromatographic method for the analysis of carrageenans and agars containing 3,6-anhydrogalactose

A novel method has been developed to determine the sugar composition of 3,6-anhydrogalactose-containing polysaccharides, such as carrageenan and agar. The method is based on reductive hydrolysis with a methylmorpholine-borane complex in the presence of acid and subsequent high-performance anion-exchange chromatography analysis of the alditols without any derivatization. The method was validated by 13C NMR analysis of six carrageenans and three agars and by a previously used method based on derivatization to alditol acetates and gas-liquid chromatography analysis. The new method was found to be superior to the gas-liquid chromatography method as the analysis time was less than half. Also it was found to be more accurate and reproducible and no derivatization was required. The analysis of the six different carrageenan samples revealed that homogeneous mu- and nu-carrageenan, theoretically without 3,6-anhydrogalactose residues, cannot be isolated from red seaweeds. Consequently, the question arose if mu- and nu-carrageenans at all are present in seaweeds and if the current hypotheses regarding biosynthesis of carrageenans in the seaweeds are correct. The data demonstrated that carrageenans are highly complex natural polysaccharides, which are more irregular than assumed hitherto. The new analytical technique will permit elucidation of the detailed structure of seaweed polysaccharides and determination of their structure-property relationships.     

The use of image analysis for morphological measurements on filamentous microorganisms

Characterization of mycelial morphology is important for the design and operation of filamentous fermentations. Initial investigations have been made of semiautomated image analysis as a replacement for a digitizing-table method. It was shown that the image analysis method was more precise than the digitizing-table method used, although this extra precision is unimportant in this application. On average, image analysis gave mean hyphal lengths 6% greater than digitizing, because the latter used chord lengths to represent are lengths. For short branches image analysis was less accurate. In time and convenience the image analysis method had an overwhelming advantage, and this advantage might be enhanced by full automation. The resulting ability to characterize mycelial morphology rapidly would permit such characterization to be used routinely in studies of filamentous fermentations.     

A new analysis method for the comparison of 2 temporal patterns,with indices of association

A new method for evaluating the degree of association between the behavioural patterns of 2 individuals is described and illustrated. It is proposed discrimination should be made between the unit for sampling (sample interval) and the unit for analysis. The length of the sample interval affects analysis accuracy, while the length of the analysis unit affects the analysis scale. A new “moving analysis unit (MAU) method” is proposed to divide an observation period into analysis units. The MAU method, with various lengths of analysis units, allows for various aspects of interaction between 2 individuals. As a similarity coefficient between the 2 temporal patterns, Iwao's ω (Iwao 1977) is proposed. Investigation of nonparametric confidence intervals of ω is performed with the bootstrap (Efron 1979), which is also applied for obtaining the null hypothesis distribution of ω. The MAU method, ω and the bootstrap are applied to the analysis of both insect and human communication.     

On the Effect of Correlation Between Plots in Randomized Block Experiments

Correlation between adjacent plots in field experiments are common. In this paper the effect of correlation on the usual analysis of variance in a randomized block design is studied. A generalised analysis of variance where correlation is taken into consideration, and the analysis of covariance where the residuals of the neighbouring plots are used as covariates, is discussed. Uniformity trials are used as a basis of a Monte-Carlo study. The generalised analysis improved the power of the tests. The analysis of covariance method was not better than the usual analysis of variance method.     

Voxel-Based Texture Analysis of the Brain

This paper presents a novel voxel-based method for texture analysis of brain images. Texture analysis is a powerful quantitative approach for analyzing voxel intensities and their interrelationships, but has been thus far limited to analyzing regions of interest. The proposed method provides a 3D statistical map comparing texture features on a voxel-by-voxel basis. The validity of the method was examined on artificially generated effects as well as on real MRI data in Alzheimer''s Disease (AD). The artificially generated effects included hyperintense and hypointense signals added to T1-weighted brain MRIs from 30 healthy subjects. The AD dataset included 30 patients with AD and 30 age/sex matched healthy control subjects. The proposed method detected artificial effects with high accuracy and revealed statistically significant differences between the AD and control groups. This paper extends the usage of texture analysis beyond the current region of interest analysis to voxel-by-voxel 3D statistical mapping and provides a hypothesis-free analysis tool to study cerebral pathology in neurological diseases.