大连软件服务外包产业发展的现状、优势与建议

针对大连逐渐成为承接国际服务外包产业转移的重要基地的现状,指出大连具有发展软件外包的区位优势、人才优势、产业优势及政策优势,探讨大连目前发展软件外包产业存在的问题,提出提高大连本土企业竞争力、加强人才培养、改善投资软环境和提供政策支持等进一步发展大连软件外包的建议.     

创业能力情景模拟训练测评方法及系统研究

随着创业能力学习论逐渐被大家接受,创业者的创业能力如何训练提高和评价成为人们关注的焦点.通过资料综述确定成功创业者拥有的创业能力特征因子,即动机、品质、自我认知、价值观和深层次创业知识经验与技能,根据5种因子特征,在E-prime测评软件平台上分别采用内隐联想测试（IAT）、镶嵌图形测试和斯特鲁普效应测试（Stroop）,可以建立一种创业能力情景模拟综合测评方法,设计其测评系统程序.两组被试测评结果相关分析表明：创业动机不同的两组被试IAT测评分在置信度95％区间存在显著差异;创业能力不同的两组被试总测评分也存在显著差异.     

邮政计算机网络风险防范与对策研究

阐述了邮政网络安全的内涵,阐述了该行业计算机网络风险的表现形式,并提出了相应的防范措施。     

教育信息化应走开源软件之路

随着教育信息化的深入发展,人们发现教育软件开发与应用已经成为制约教育信息化发展的症结。开源软件不但能够胜任教育信息化的需求,降低成本,而且能够随时根据教学需要自主改进程序、促进教学水平和学生创新能力的提高。最后就教育信息化推广使用开源软件提出几点建议。     

Some perspectives on statistical computing

The author argues for an increased emphasis on computing in the training of statisticians and in their professional practice. He describes some of the current technological challenges and demonstrates the importance for statisticians of becoming more active in computational aspects of their work and specifically in producing software for carrying out statistical procedures. Such a reorientation will require substantial changes in thinking, pedagogy and infrastructure; the author mentions some of the conditions required to achieve these goals.     

"世纪星"组态监控软件在低速升降装置中的应用研究

本文介绍了用组态软件开发的上位机与工业现场的PLC进行通信的控制系统，上位机不但完成现场的各种参数的实时显示，同时实现对工作现场的实时控制。     

紧凑式换热器的设计及综合性能分析软件

开发了包括板翅式(平直式、百页窗式及穿孔形、锯齿形)和主表面式(CC、CU及CW)等几十种型面的紧凑式换热器的设计、优化、校核、性能分析计算机辅助设计软件，该软件由Visual Basic 6．0编制，它具有良好的用户界面、人机对话功能及图形功能，并建立了包括工质物性、材料物性、70多种紧凑式换热器型面的结构参数以及无量纲摩擦因子f、传热因子j的数据库，该软件操作简便，运行稳定，可大大缩短换热器设计时间．     

论会计电算化信息系统的内部控制

内部控制包括内部管理控制和内部会计控制,会计电算化信息系统的内部控制则是内部会计控制的控制形式。因此,针对会计电算化信息系统存在的问题,提出了会计电算化信息系统实施内部控制的方法与措施,以适应管理型会计软件的发展对内控制度提出的新要求,开创会计电算化的新局面。     

项目管理在高校软件开发中的应用

随着信息产业的飞速发展,项目管理在软件开发中的应用日益受到重视。而高校软件开发中的项目管理应用却相对落后于企业,本文主要分析了高校软件开发中在项目管理方面存在的问题及解决方案。     

Quantal Risk Assessment Database: A Database for Exploring Patterns in Quantal Dose‐Response Data in Risk Assessment and its Application to Develop Priors for Bayesian Dose‐Response Analysis

Quantitative risk assessments for physical, chemical, biological, occupational, or environmental agents rely on scientific studies to support their conclusions. These studies often include relatively few observations, and, as a result, models used to characterize the risk may include large amounts of uncertainty. The motivation, development, and assessment of new methods for risk assessment is facilitated by the availability of a set of experimental studies that span a range of dose‐response patterns that are observed in practice. We describe construction of such a historical database focusing on quantal data in chemical risk assessment, and we employ this database to develop priors in Bayesian analyses. The database is assembled from a variety of existing toxicological data sources and contains 733 separate quantal dose‐response data sets. As an illustration of the database's use, prior distributions for individual model parameters in Bayesian dose‐response analysis are constructed. Results indicate that including prior information based on curated historical data in quantitative risk assessments may help stabilize eventual point estimates, producing dose‐response functions that are more stable and precisely estimated. These in turn produce potency estimates that share the same benefit. We are confident that quantitative risk analysts will find many other applications and issues to explore using this database.