中国古典园林与戏曲舞台空间布景的共通性

优秀的传统文化是一个民族劳动人民智慧的结晶。随着全球经济一体化的发展，中国传统文化受到西方文化的猛烈冲击，因此以中国古典园林和戏曲艺术的研究为代表的优秀传统文化的研究对中国现代文化发展有着深远意义。笔者通过查阅国内现有的关于古典园林和戏曲舞台空间布景的研究，发现该领域的研究并不丰富。通过对二者空间布局的层次、置陈布势的常用手法和艺术性进行共通性研究，希望对古典园林和戏曲保护提供参考和指导。     

Measuring biogeochemical heterogeneity at the micro scale in soils and sediments

Steep physiochemical gradients and diffusive limitation associated with microscale features such as cracks and pores make soil and sediments remarkably heterogeneous environments, which is reflected on many environmentally important processes. If we are to understand and attempt to control the ecology of the microorganisms which inhabit these environments we must not only characterize their inhabitants, but also the complex biogeochemical landscape they live in. This includes local concentrations of electron acceptors and donors, microbial metabolites and key physical and chemical parameters such as pH and soil structure.To this end, an array of techniques for collecting data at the microscale has been developed, deployed and refined, ranging from microsensor probes to planar sensors. This review provides a general reference for and a critical comparison of microscale techniques available to the fields of soil and sediment microbial ecology. Techniques are evaluated based on their ability to provide spatially resolved data at the microscale, with focus on performance characteristics, potential for repeated measurements, degree of physical disruption they create, and accessibility.Microscale studies have given us many insights, but we outline further progress needed to make the microscale toolkit more accessible and to extend the range of analytes that can be measured simultaneously, so that we may expand our knowledge of the complex environmental microscale heterogeneity and its impact on soil and sediment ecology and functioning.     

The research in processing fMRI data using temporal-spatial model based on CCA

In the analysis of cognition of human brain,the fMRI is often used.Corelation is a common method in fMRI data detecting,but its ability should be improved.Based on the Canonical Correlation Analysis(CCA),the temporal correlation and spatial correlation are used together to detect the activated area in the fMRI data.By the application of the method in simulation data and fMRI data,it shows that this method is effective in the detecting.     

An Expert Knowledge-acquisition Method on Line of Automatic Excluding Errors

Aimed at soving the problem existing in the knowledge-acquisition directing-operation expert systems, a new method is proposed to acquire knowledge of expert-operation, excluding errors existed in examples and reinforce the accuracy of examples,the goal of knowledge acquisition can be achieved, the method presented in this paper solves the problem of self-enhancement of expert knowledge on line efficiently.     

Application of Multivariate Statistics in Early-warning of Corporation Financial Crisis

This paper is focused on early warning of corporation financial crisis for the China's household electric appliance manufacturers in stock market. Firstly, using company's open-disclosed annual statements as data resource, the financial indexes system is constructed. Secondary, adopting the multivariable statistical analysis method, such as cluster, discriminate and principle component analysis, the multivariate models for the empirical study on early warning of financial crisis by making use of SPSS statistical software are set up. The corporation might discover the financial affairs crisis that shall probably arise beforehand by using the financial affairs crisis early warning system. This study and analysis may serve as reference for domestic industries and enterprises.     

Concrete Evidence Reseach to the Aacepting Insurance Ability of China''s Non-life Insurance Companies

Owning to the ability of accepting insurance enough,it is the foundation for insurance companies to operate in a long-term and steady way,a method to develop sustainably,a reflection of an insurance company's comprehensive competition ability and also a premise for an insurance company to realize developing strategy.Accepting insurance ability is very important in the development and strategic planning for an insurance company.The quantitative analysis is used to analyze the ability of accepting insurance of our country's insurance companies,in another word,the factor(analysis),which belongs to the analysis of diverse statistic,is used.Using the method to give a concrete evidence analysis to the ability of accepting insurance of our country's non-life insurance companies,so that the insurance companies can understand very well to the advantages and disadvantages of the ability of accepting insurance to each other,and as well as supplying a strategic reference for the insurance companies themselves to make decisive planning.     

鄂尔多斯高原北部沙区主要植被类型下土壤要素的空间分析

鄂尔多斯北部沙区存在着极为显著的风沙地貌,在此格局基础之上,特别是在植被与土壤的相互响应过程中,二者的相互关系逐渐密切,这种反馈作用使得该区域的植被与土壤要素形成的空间分布格局具有一定的耦合性。研究这种关系可以为该地区保护植被和合理利用土地资源提供科学依据。     

长时序海量土地利用时空数据统计优化方法

针对任意查询区域年度现状地类面积统计困难、长时序变更流量分析计算耗时等问题,提出基于时空变化图模型的统计优化方法。运用图的连通性原理,对查询统计区域内和边界处的要素实体进行分类,实现了时序快照统计优化算法,解决了任意查询区域时点现状统计困难的问题,提高了时序快照统计的效率。运用多商品流原理进行时空网络图约化性判定,实现了变更流量统计优化算法,减少了要素空间叠置分析次数,解决了长时序土地利用变化变更流量统计耗时问题,提高了统计的效率。最后,以2009—2012年琼海市土地利用数据为例,进一步验证优化算法的有效性和可行性。     

田间土壤特性的空间相关结构分析及其分布描述

本文对雄县试区试验田的土壤特性空间变异性进行经典统计分析，并利用地质统计学半方差分析法定量描述土壤特性的空间相关结构，然后使用Ｋｒｉｇｉｎｇ最优内插估值法得到了田间土壤特性参数的空间分布等值图。分析结果表明，该试验田０～１００ｃｍ土壤范围内的平均含水量不仅在整个空间分布上而且在纵横曲型剖面上都呈现出弱变异性，空间相关结构显著，相关距离约６０～８０ｍ。采用上述结论和等值图不但能减少样本采样的数量和密度，还能根据田间含水量的空间分布特征合理布点采样，实施土壤墒情的科学监测。     

An entropy approach to spatial disaggregation of agricultural production

While agricultural production statistics are reported on a geopolitical – often national – basis we often need to know the status of production or productivity within specific sub-regions, watersheds, or agroecological zones. Such re-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to making spatially disaggregated assessments of the distribution of crop production. Using this approach, tabular crop production statistics are blended judiciously with an array of other secondary data to assess the production of specific crops within individual ‘pixels’ – typically 25–100 square kilometers in size. The information utilized includes crop production statistics, farming system characteristics, satellite-derived land cover data, biophysical crop suitability assessments, and population density. An application is presented in which Brazilian state level production statistics are used to generate pixel level crop production data for eight crops. To validate the spatial allocation we aggregated the pixel estimates to obtain synthetic estimates of municipality level production in Brazil, and compared those estimates with actual municipality statistics. The approach produced extremely promising results. We then examined the robustness of these results compared to short-cut approaches to allocating crop production statistics and showed that, while computationally intensive, the cross-entropy method does provide more reliable estimates of crop production patterns.