规范上市公司的会计信息的对策研究

随着经济体制的改革，企业尤其是上市公司的筹资渠道吸引了广大投资者，对解决我国经济发展资金不足的问题做出了巨大贡献，让部分投资者获得了理想的效益．但由于上市公司的会计信息披露欠规范，使得部分投资者血本无归，阻碍了某些企业的资本筹集，影响了企业信誉，应予规范．     

对发展我国证券市场的思考

根据目前我国证券市场存在股权结构杂乱，上市公司法人治理结构不完善，机构投资者的违规违法情况严重等问题，证券市场的发展应提高上市公司质量，推进资本市场主体发展，增加资本市场的交易品种，大力发展以投资基金为代表的机构投资者，逐步解决国有股上市流通问题，加快立法进度，逐步规范我国的证券市场．     

关于上市公司投资者关系管理的探讨

以上市公司投资者关系管理为主线，介绍投资者关系管理的内涵和意义，指出我国现阶段上市公司投资者关系管理存在的问题，并提出有效进行投资者关系管理的主要措施，即在保证国家宏观政策稳定性的前提下，为投资者提供一个相对稳定的投资环境，实现上市公司投资者关系管理制度化、规范化，上市公司要用国际标准要求自己，保持正常的市场秩序，发挥监管部门的监督作用．     

上市公司财务状况评价的统计和神经网络方法

根据上市公司的财务报表对上市公司的财务状况进行综合评价对投资者的投资和监管部门的监管活动具有重要的指导意义．本文利用主成分分析方法对产生于财务报表的各种财务比率指标进行优化处理，形成新的主成分指标，并以主成分作为输入变量，使用竞争学习网络进行聚类分析．最后用广泛采用的综合评分方法得出每一类企业的财务特征，清晰直观的表达了企业的财务状况．     

基于时序立体数据表的上市公司成长性综合评价

企业的成长性对投资者、经营者以及其它利益相关者至关重要．对企业的成长性评价是一个动态评价问题．该文从“差异驱动”原理出发，对由上市公司成长性指标值构成的时序立体数据表给出了综合评价模型．分析表明，所得出的综合评价结论具有全局性、客观性，且原理简单、计算量少．     

对当前我国上市公司会计信息披露问题的分析

由于各种原因,目前我国上市公司信息披露中存在不少不规范的现象,损害了我国证券市场和上市公司的健康发展,也使广大投资者蒙受了许多不应有的损失和风险,因此,规范上市公司信息披露的呼声越来越高.本文试就上市公司会计信息披露所出现的问题作些研究分析.     

从成本效益角度谈我国上市公司会计信息失真的原因及对策

上市公司会计信息失真的现象在我国证券市场存在较为普遍,其对投资者的利益造成严重损害,以致使企业失信于广大投资者,并直接使企业的持续经营受到影响,严重危害我国经济秩序和社会稳定,对会计信息失真的治理迫在眉睫。本文首先较为客观、全面地界定了会计信息失真的含义,介绍了我国上市公司会计信息失真的现状及危害,然后从经济学角度入手着重分析了会计信息造假的成本效益,并结合统计学、决策学等相关知识,对我国上市公司会计信息失真的根源展开讨论,得出会计信息的原因,据此总结出防范的对策。文章最后笔者提出了关于构建会计信息造假风险成本模型的初步设想,为我国上市公司会计信息规范工作表达了自己的愿望。     

支持向量机（SVM）方法对财务危机的预警

上市公司是证券市场的基石，其行为的规范与否及其财务状况的好坏将直接影响到证券市场的发展和投资者的利益。而在市场经济条件下，每个企业绝对地防止财务失败是不现实的，在特定的条件下，总会有一些企业陷入财务失败的困境，然而人们面对这样的困境不是无能为力的，企业财务失败是可以提前预测的。本论文正是基于这样的思想，在总结国内外有关企业财务失败研究成果的基础上，论述了企业财务失败与破产、企业财务失败与ST的关系。在对企业财务失败预警的含义、功能及特征等进行了必的简单介绍之后便进入实证研究部分。实证研究部分主以我国深、沪两市96年前上市的260家A股公司为研究样本，采用2005年至2007年三年的实际财务数据的均值，运用支持向量机（SVM）方法，随机抽取其中的200家企业的数据建立判别模型，运用自身验证法对模型的稳定性加以分析，又运用外部数据法，使用剩余60家上市公司的数据对模型的预测能力进行了验证。结果表明：通过对21个变量指标进行分析，SVM的准确率很高，其预测的准确率为94％。而后对模型的可行性和有效性进行了验证，正确的判别率达到了91．6667％，结果表明模型是可行的。从而建立了判断上市公司财务危机的数学模型。     

中国上市公司财务预警问题的统计分析和定性分析

阐述了在市场经济条件下投资者如何正确分析上市公司的财务比率，正确预测企业财务危险的信息，通过SPSS统计软件进行因子分析和回归分析，得出投资者应重点关注的七大指标和一个预测营业利率的多元线性回归模型．指出在减少投资者的投资风险方面，定量分析与定性分析结合的重要性．     

局部线性光滑技术和ARIMA模型在股价动态预测中的应用

针对目前我国股票市场中难以对上市公司的股票价格从定量分析的角度进行有效预测这一突出问题，利用时间序列局部线性光滑技术并结合ARIMA建模方法，提出了股票价格序列的一步动态预测方法，用于股票价格序列的建模及股价短期预测，以期为企业和投资者在进行相关决策时提供有益的参考．最后，以两家上市公司近几年股票的周平均价格为例验证了预测结果的有效性．     

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.