区域主导产业评价指标体系构建以及在安徽省的实证研究

主导产业是在区域经济中起主导作用的产业,主导产业发展水平是衡量一个国家和地区竞争力的核心指标。在经济全球化和区域一体化的大背景下．一个国家或地区的经济发展首先表现为主导产业的成长过程．而对这一过程加以合理引导,需要宏观层面的政府和微观层面的企业共同努力、理性选择。选择和培育壮大主导产业、加快主导产业转型升级．提升主导产业核心竞争力．是建设“稳增长”经济强省并实现持续发展、打造安徽经济升级版的关键所在。     

论西部地区信息化推进中信息产业的适宜发展策略

信息化是当今世界经济和社会发展的大趋势,也是发展中国家产业优化升级和实现工业化、现代化的关键环节。在即将确定的我国国民经济和社会发展十五规划中将把推进国民经济和社会信息化放在优先位置,将信息产业作为我国下一个发展阶段的基础和主导产业来规划。 在国际和国内以发展为主导的大环境下展开的西部大开发,信息化的意义和地位愈显重要和突出。通过信息化来带动和推动工业化,从而实现现代化,是西部地区发挥后发优势、实现跨越性增长的必由之路。信息化建设必须在西部开发战略中占据重要的基础地位,信息产业可以在西部地区作为…     

广西主导产业选择的实证分析

西部大开发和北部湾经济区战略的实施,为广西区域经济的发展注入了良机。为了实现广西经济的发展,我们首先要选择和培育适合广西经济发展的主导产业。本文基于产业竞争力和产业发展潜力两个方面,运用区位商和因子分析的方法,定量实证分析了广西38个行业部门,将其划分为三类,即＂双强＂、＂双弱＂、＂一强一弱＂,并在文章的最后指出了适合广西经济发展的主导产业。     

天津主导产业选择与空间布局研究

根据主导产业发展的一般原理,在分析影响天津主导产业更替变化的经济、社会、技术等内外因素的基础上,结合地区经济发展特点,对现代主导产业选择基准进行了合理的变化与补充,提出了七条选择地区主导产业遵循的基准,构造了一套指标体系,建立了一个天津主导产业的层次选择模型,并且通过实际测算以及定量和定性的综合分析进行产业空间布局。     

地区主导产业选择的AHP模型及其应用

根据主导产业发展的一般原理,在分析影响主导产业更替变化的经济、社会、技术等内外因素的基础上,结合地区经济发展特点,对筱原三代平的主导产业选择基准进行了合理的变化与补充,提出了五条选择地区主导产业应遵循的基准,构造了一套指标体系,建立了一个地区主导产业选择的层次模型并通过实际应用说明了其可行性.     

地区主导产业选择的AHP模型及其应用

根据主导产业发展的一般原理,在分析影响主导产业更替变化的经济、社会、技术等内外因素的基础上,结合地区经济发展特点,对筱原三代平的主导产业选择基准进行了合理的变化与补充,提出了五条选择地区主导产业应遵循的基准,构造了一套指标体系,建立了一个地区主导产业选择的层次模型并通过实际应用说明了其可行性。     

发展地区主导产业的经济行为研究

主导产业是地区产业结构的核心．我国地区主导产业发展过程中,既存在着主导产业不明确的现象,又存在着主导产业严重趋同的弊端,不合理的经济行为是造成这种弊端的一个重要原因．本文从经济行为主体的角度,对我国地区主导产业发展过程中的政府行为、市场行为、企业行为进行分析,提出对这三种经济行为进行必要规范的思路,旨在促进地区主导产业的合理发展．     

坝上地区资源优势与主导产业优化初步研究

针对坝上地区的自然及社会经济条件，客观评价该区资源优势，分析了坝上地区主导产业发展的误区和引起的环境问题，并提出要利用区域资源优势，进行畜牧业、错季蔬菜产业、马铃薯产业、草产业、生态旅游业等主导产业建设，最后提出坝上建设主导产业的具体对策。     

AHP法在主导产业选择中的运用

从主导产业在国民经济中所处的支柱地位出发，从影响其主导地位形成的主要因素入手，应用AHP法，从经济效益、经济规模、技术进步、产业关联等不同层次对主导产业的影响指标进行聚集组合，从而对产业选择系统进行优劣排序，筛选出主导产业，同时使选择评价过程更具有客观、全面、合理性．     

山东海洋主导产业选择及升级的实证分析

将主导产业选择与主导产业升级结合起来进行研究.首先,利用因子分析法,以山东省为研究对象,构建一个可以对海洋产业进行测评的体系,选择该地区的海洋主导产业.山东省海洋主导产业应选取滨海旅游业、海水利用业、海洋渔业、海洋交通运输业和海洋工程建筑业.其次,利用灰色关联度方法,对海洋产业结构与海洋经济增长的关系进行了研究.海洋第三产业对海洋经济起到关键决定性作用.所以,山东省海洋主导产业应当着重加强属于第三产业的滨海旅游业和海洋交通运输业的升级.最后,利用时间序列模型对上述5个主导产业进行了未来趋势预测.滨海旅游业和交通运输业在未来几年相较其他3个产业增长更为迅速.     

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.