Internet Use, Public Trust, and the Communication of Nuclear Risk:An Empirical Research on the Risk Perception of Residents surrounding Zhangzhou Nuclear Power Plant

随着全球应对气候变化共识的达成，以及我国对能源结构的调整，“十三五”期间我国将有大量的核电项目投入建设。但由于公众的风险感知与技术专家的风险评估之间存在较大差距，为避免核电建设中的“什邡困局”，理解公众风险感知机制基础之上的风险传播殊为必要。本文基于对漳州云霄核电站周边居民的田野调查与问卷调查，聚焦心理直觉、人口学特征、媒介接触、公众信任等方面的因素对公众风险反应（包括风险感知、态度及行为倾向）的影响，重点探索公众对地方政府的信任对其风险反应的预测效应，以及当地公众的网络接触行为在公众信任与风险反应之间的调节作用。 研究发现云霄县城居民对核电的风险感知与风险接受度存在较为显著的个体差异，总体...As the consensus of the global response to the climate change has been reached and with our country’s adjustment to the energy structure, our country will have a large number of nuclear power projects to be put into construction during the “13th Five Year Plan”. However, because there is a big difference between the risk perception of the public and the risk assessment of technical experts, it is ...学位：文学硕士院系专业：新闻传播学院_传播学学号：3362013115302

Analysis of Data Management in Real Estate Design Management

随着网络和信息技术不断的普及，尤其是近年来数据化概念在各个领域的应用，不仅仅是对于互联网及新技术产业带来巨大的改变，对于传统房地产业也有极大的冲击。2012以来，受到经济相关结构的调整以及经济下行风险增加的影响，再加上企业间竞争的不断增大以及各种转型需求，使房地产领域发展所承受的压力越来越大，因此，急切需要不断的创新，突破现阶段的瓶颈，提升市场竞争力。另一方面，信息数据技术在综合性项目的初步尝试表现出巨大的可能性。数据信息技术在资金流规划、项目运营、成本与质量控制以及产品研发等多个方面蕴含着意想不到的潜力，在房地产项目管理各个方面能够起到显著效果。同时，该技术在企业的集约化和项目精益化管理上的...With the popularization of network and information technology, especially the application of the concept of data in various fields in recent years, not only bring huge changes to the Internet and new technology industry, also have a great impact on the traditional real estate industry. Since 2012, by adjusting the economic structure and the related impact of the economic downturn increased risk, c...学位：工商管理硕士院系专业：管理学院_工商管理硕士(高级管理人员工商管理硕士)学号：X201215618

Research on the Data Cube Calculation in Data Warehouse

随着信息社会的发展，企业面临大量数据。如何快速从中提取信息、制定市场策略，以便对市场作出及时灵活的反应，成为企业在信息时代的市场竞争中立于不败之地的关键。数据仓库和联机分析处理是实现这些功能的重要概念和技术。当前对数据仓库和联机分析的研究主要集中在多维数据模型、物化视图、数据访问、数据立方体等方面。本文首先分析了目前国内外数据立方体计算的研究现状，指出其优缺点。接着在free-set的概念上，给出了一系列相关定义，挖掘了free-set的性质，建立了FreeCube的概念结构。就FreeCube的计算而言，充分考虑到free-set的性质，结合BUC算法的特点，提出了高效的算法SPT（Sele...With the development of the information society, enterprises face large quantities of data. In order to react to the market flexibly in time, how to extract the information and establish the market strategy from these data, has become the key for business enterprises to be in an impregnable position in the market competition of the information age. The Data Warehouse and On-Line Analytical Process...学位：工学硕士院系专业：计算机与信息工程学院计算机科学系_计算机应用技术学号：20022803

大脑皮层与针刺抑制内脏痛的关系——Ⅳ.内脏痛信号与“内关”传入信号在大脑皮层中的相互作用

针刺镇痛基本上是痛觉传入信号和穴位传入信号在中枢神经系统内相互作用的结果,目前已有大量材料支持这一观点。业已证明,内脏伤害性传入冲动可以到达大脑皮层内脏大神经投射区,引起内脏痛放电和诱发电位。我们还观察到:刺激“内关”穴时,在皮层“内关”投射区出现诱发电位和单位放电,表明“内关”穴位传入信号也可到达大脑皮层。本文进一步探“内关”传入信号是否进入皮层内脏大神经投射区,是否同内脏痛传入信号发生相互作用

The Research of OpenGL Geometric Transformation and Conversion of the Windows Screen Coordinates

分析openGL三维图形显示流程,讨论其坐标变换过程,推导了openGL坐标与Windows屏幕坐标的转换关系,给出了在MFC下实现openGL图形编程的方法。By analysing the processes of openGL 3D graphics and discussng it's coordinate alternation process,the thises derives the trans-formation relationship between openGL coordinate and the Windows screen coordinate. Meanwhile it gives the openGL graphical pro-gramming approach under the platform of MFC.福建省教育厅B类课题(JB0527

The Effect of Orthographic Neighborhood in Chinese Reading

利用快速命名实验范式,采用4类80个汉语形声字,探查了汉字形声字声旁家族大小对整字语音通达的影响。通过反应时分析发现,汉字阅读中也存在家族效应,但是与拼音文字正好相反,声旁家族越大,反应时越长,在不规则汉字阅读中表现更为明显,显示了汉字语音通达有别于拼音文字的特殊性。作者提出了一个汉字形声字阅读的模型,以期更深入地揭示汉字形声字阅读的认知机制

数据挖掘中基于密度的聚类分析算法

聚类在数据挖掘、模式识别等许多领域有着重要的应用。本文介绍了聚类算法的几种分类,并例举了几种基于密度的聚类算法。最后以一种新颖的基于最大不相含核心点集的聚类算法LSNCCP为例,详细介绍整个聚类算法的工作过程

Method of incrementing updating FreeCube

数据立方体是联机分析处理的一个重要应用。如何对数据立方体(CUBE)进行更新目前研究相对较少。给出了CUBE的一种新颖的存储结构——FreeCube的定义,该结构大大降低了CUBE存储的空间,分析了它的相关性质,提出了增量更新FreeCube的理论,并给出了具体的算法,以实例说明了该算法的正确性,总结了下一步的工作方向。Data cube is an important application in OLAP system. The study on how to update data cube lags behind at present. A kind of the novel structure of CUBE— — Free is described that can reduce the size of CUBE quickly. And then the characteristics of the con- strictive freecube is analyzed. The theory of incrementing updating freecube is proposed, and algorithm for it and then a instance to indicate the correctness of the algorithm is provided. At last, the directions in the future is summarized.福建省自然科学基金项目(A0310008);; 福建省高新技术研究开放计划重点基金项目(2003H043

SPT—Method of Fast Calculation FreeCube

文章首先分析了目前国内外数据立方体计算的研究现状,指出其优缺点。接着在free-set的概念上,给出了一系列相关定义,挖掘了free-set的性质,建立了FreeCube的概念结构。就FreeCube的计算而言,充分考虑到free-set的性质,结合BUC算法的特点,提出了高效的算法SPT(Selecting-PartitionandTrimmingComputationofFreeCube),并从多个角度进行了实验,与相关工作做了对比,说明该算法的优越性。First of all,the current domestic and international research situation of Data Cube calculation is analyzed.Then the thesis points out its merits and demerits.And it gives out a series of related definitions on the free-set conception,excavates the free-set property and establishes the concept construction of FreeCube.With regard to FreeCube calculation,fully considering the free-set characteristics while combining the characteristics of BUC’s calculation,the thesis puts forward an efficient calculation way SPT(Selecting-Partition and Trimming Computation of FreeCube),and while comparing with related work,it engages in experiments from many aspects,which illustrates the superiority of the algorithm.FreeCube maintenance problem is also discussed theoretically.福建省自然基金资助项目(编号:A0310008);; 福建省高新技术研究开放计划重点资助项目(编号:2003H043

LSNCCP:A Clustering Algorithm Based on the Largest Set of Not-Covered Core Points

聚类在数据挖掘、模式识别等许多领域有着重要的应用 提出了一种新颖的聚类算法 :一种基于最大不相含核心点集的聚类算法LSNCCP(aclusteringalgorithmbasedonthelargestsetofnot coveredcorepoints) 在密度定义的基础上 ,考察核心点之间的距离关系 ,定义相含、相交、相离这 3种核心点之间的关系 ,最后找出一个最大不相含核心点集 ,在此基础上进行聚类 ,并且找到解决丢失点问题的快速方法 该最大不相含核心点集只是全部核心点集合的一个很小的子集 ,因此有效地缩减了同类算法中搜寻核心点的时间 理论和实验上证明了这种算法的可行性和优越性Clustering is an important application area for many fields including data mining, pattern recognition, etc. In this paper, a novel clustering algorithm LSNCCP(a clustering algorithm based on the largest set of not-covered core points) is proposed. On the basis of the definition of density, the distance between the core points is discussed. And then, the three essential distance relation: covered core points, intersectant core points, and separate core points. Finally, the largest set of not-covered core points is found and based on the set the data can cluster very well. Because the largest set of not-covered core points is a lesser subset of the all core points, the new algorithm cuts short the time of searching all core points in the similar algorithms. The feasibility and the advantage or the new algorithm are proved in theory and experiment.福建省自然科学基金项目 (A0 3 10 0 0 8) ;; 福建省高新技术研究开放计划重点项目 (2 0 0 3H0 43