我国城镇居民消费结构发展数量分析

应用灰色系统理论中关联分析方法和ＧＭ（１,１）预测模型,对我国城镇居民消费结构转变过程和发展趋势进行了灰色关联和预测分析,揭示我国城镇居民消费结构的转变规律。     

新世纪我国城镇居民消费特征变化分析

进入21世纪以来,我国社会主义市场经济体制逐渐完善的同时,城镇居民消费结构也发生了较大的变迁,我国城镇居民消费结构实现了优化、升级。本文运用扩展线性支出系统模型(ELES)对我国2000年和2005年城镇居民边际消费倾向和需求收入弹性进行实证研究,得出我国城镇居民已经结束了满足吃、穿着为主的生存型消费需求阶段,逐步向发展型和享受型阶段过渡的消费特征。     

我国城镇居民消费结构与竞技体育的相关分析研究

本研究主要采用文献资料法、数理统计法,逻辑分析法,运用定性和定量相结合分析手段,对我国各个省市的城镇居民消费结构与十运会各个省市成绩积分进行相关分析研究。结果表明：我国城镇居民在消费结构的各个指标上普遍与竞技体育有很大的相关性.说明我国城镇居民的消费结构指标都直接或间接的对十运会成绩积分产生深远的影响。     

我国城镇居民消费结构的实证分析与预测

根据客观实际的统计资料，对我国城镇居民的消费结构进行了量化分析，揭示了居民消费结构的变化．通过分析，了解我省城镇居民的消费状况和消费水平，为研究我省城镇居民的消费需求及变化提供重要信息．对我省21世纪初城镇居民的消费结构作出预测．     

全国城镇居民消费结构的变动分析

本文运用因子分析法对我国1995年～2005年间城镇居民消费结构的变动进行了实证分析,详细分析了城市居民消费结构的调整及变化趋势。在此基础上,有针对性地提出了增加城镇居民收入、建立健全居民生活风险与保障体系和积极发展旅游业等一系列启动居民消费的对策。     

我国各地城镇居民消费结构的对应分析

应用SAS软件,对我国2004年城镇居民人均消费支出的统计资料进行对应分析,城镇居民的消费结构中存在的问题提出了一些有益的建议。     

安徽省城镇居民消费结构实证分析

本文采用扩展线性支出系统模型(ELES),对安徽省城镇居民消费结构进行静态分析,在此基础上针对安徽城镇居民现阶段消费结构的特点和变化趋势,同时结合制约消费的影响因素,对于进一步改善安徽省城镇居民消费结构提出了相关对策和建议。     

浅析山西省消费结构对扩大内需的影响

在拉动经济的三驾马车中,消费是最重要的因素之一。在当前经济条件下,扩大内需与刺激消费成为推动我国经济发展的关键因素,而消费结构与扩大内需作为反映居民消费本质的重要概念,是密不可分的。以山西省2005—2011年的数据为基础,在分析山西省城镇居民消费结构现状的基础上,得出应该对山西省城镇居民的消费结构进行合理优化,从而刺激消费来更大程度地扩大内需的结构。然后通过建立一元线性回归模型,分析了居民消费结构对扩大内需的影响。最后,根据对模型的分析,提出了对山西省城镇居民消费结构进行优化的对策建议。     

河南省“十一五”期间城镇居民消费结构变化研究

本文依据2005-2010年国家统计局公布的数据,研究并分析了河南省城镇居民的消费结构、消费增长率、平均消费倾向以及边际消费倾向的变化。结果表明河南省城镇居民消费结构不合理,人们的消费主要还停留在食品、衣着上。进而提出了改善河南省城镇居民消费结构的三点对策和建议。     

影响我国消费结构变化的因素分析

我国城镇居民消费结构发生了很大的变化。制约和影响消费结构的因素是多种多样的,本文将把它们分成两个基本的类别,一类是常规性经济因素,一类是非常规性经济因素。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.