改革开放——中华民族的复兴之路

建国以来，中国的发展以1978年为界分为前后两个30年。前30年，中国在计划经济体制下，顺利完成了国民经济的恢复任务、社会主义改造，并建立起比较完善的国民经济体系。后30年，中国通过改革开放，走上了一条中国特色社会主义发展道路，初步实现了国家的繁荣强盛，但是也面临着发展的困境。如果说，正是通过30年的改革开放，使中国真正跻身世界大国行列，那么中国在今后的发展中解决一系列发展难题，也必然要靠继续深化改革扩大开放。因此，认真总结中国改革开放的经验教训，为实现中华民族的伟大复兴就是我们必须要做的重要工作。     

优化专业结构,提高毕业生就业竞争力

随着社会以及高等教育改革的不断深化,高校毕业生就业形势日益严峻,根据用人单位对大学毕业生综合素质的要求和高校毕业学生对学校教学的意见反馈以及就业工作的现状,高等学校应优化专业结构,调整教学计划和课程设置体系,改革人才培养模式,努力提高毕业生就业竞争力。     

制度与制度权威

制度本质上是建立在一定社会生产力和社会关系基础之上的行为规范,它能够约束人们的行为符合某种秩序的要求。制度权威的本质是人们对一定社会物质生产过程和社会交往过程内在秩序性要求的服从。制度和制度权威建设,必须使制度符合一定社会的生产力、社会关系和人的状况。     

虢国车马坑葬初探

三门峡上村岭虢国墓地车马坑是迄今为止发现的西周春秋时期规模较大、等级齐全、排列有序的贵族墓祔葬车马坑。虢国车马坑葬继承和沿用商周车马殉葬制，又适应和迎合社会进步及变革需要，对车马坑的殉葬内容和形式进行变通与革新，摒弃车葬坑和同穴葬，整车葬成为主流形式，并盛行车马葬和异穴葬，车马排列有序，殉葬性质更加明确，是象征性、明器化殉葬的滥觞，殉人制消失，显示出传统车马坑葬制开始出现瓦解的苗头。大量车马坑葬在虢国墓地出现，反映了虢国生产力发展水平和崇勇尚武世风，更反映了车马坑主人的身份等级，它与列鼎制紧密配合，形成了一个不可分割的整体。     

河南农业经济结构调整对农业劳动力的挑战

河南是农业大省,要使河南农业进一步发展,农民收入进一步增加,河南农业经济必须进行结构调整。农业经济结构调整的主体是农业劳动力,而农业劳动力素质,特别是农业劳动力文化素质的高低则成为河南农业经济结构调整的关键。文中重点分析了河南省农业劳动力文化素质的现状及与农业经济结构调整要求的差距,最后提出了提高河南省农业劳动力文化素质的对策。     

论生态主义勃兴对历史唯物主义的若干贡献

生态主义从思想观念、伦理道德、政治法律、发展模式或道路、经济形态、生产生活方式、行为方式、社会运动等各方面全面勃兴。这对现行历史唯物主义的相关理论提出了挑战,也必然对其进一步的丰富和发展做出相应的贡献:扬弃现行地理环境概念,重新定义自然环境;扬弃现行地理环境对社会的存在和发展作用的理论,提出自然生态力范畴,并揭示它对社会的存在和发展起被动的最终决定作用;把自然环境纳入社会基本结构;提出自然生态力与生产力的矛盾是社会最基本的矛盾,从而使社会基本矛盾由现行三方面两对矛盾的体系发展为四方面三对矛盾的新体系。     

Uncertainty Analysis for Computer Model Projections of Hurricane Losses

Projecting losses associated with hurricanes is a complex and difficult undertaking that is wrought with uncertainties. Hurricane Charley, which struck southwest Florida on August 13, 2004, illustrates the uncertainty of forecasting damages from these storms. Due to shifts in the track and the rapid intensification of the storm, real-time estimates grew from 2 to 3 billion dollars in losses late on August 12 to a peak of 50 billion dollars for a brief time as the storm appeared to be headed for the Tampa Bay area. The storm hit the resort areas of Charlotte Harbor near Punta Gorda and then went on to Orlando in the central part of the state, with early poststorm estimates converging on a damage estimate in the 28 to 31 billion dollars range. Comparable damage to central Florida had not been seen since Hurricane Donna in 1960. The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) has recognized the role of computer models in projecting losses from hurricanes. The FCHLPM established a professional team to perform onsite (confidential) audits of computer models developed by several different companies in the United States that seek to have their models approved for use in insurance rate filings in Florida. The team's members represent the fields of actuarial science, computer science, meteorology, statistics, and wind and structural engineering. An important part of the auditing process requires uncertainty and sensitivity analyses to be performed with the applicant's proprietary model. To influence future such analyses, an uncertainty and sensitivity analysis has been completed for loss projections arising from use of a Holland B parameter hurricane wind field model. Uncertainty analysis quantifies the expected percentage reduction in the uncertainty of wind speed and loss that is attributable to each of the input variables.     

加强高校思想政治教育进网络工作的研究

在分析了互联网的发展对高校思想政治教育的影响的基础上 ,研究探讨了建立思想政治教育在网络时代的工作机制及如何加强网络思想政治教育工作队伍的建设。     

对一维雷诺流动中几个物理量的分析

在建立雷诺方程的基础上，推导出了流体中的压力分布、速度分布、单宽体积流量、单宽分离力、单宽摩擦阻力和压力中心的位置等几个物理量的方程，并分别分析了它们随间隙比的变化规律．求出了流体出现倒流现象时的间隙比．     

On Block Updating in Markov Random Field Models for Disease Mapping

Gaussian Markov random field (GMRF) models are commonly used to model spatial correlation in disease mapping applications. For Bayesian inference by MCMC, so far mainly single-site updating algorithms have been considered. However, convergence and mixing properties of such algorithms can be extremely poor due to strong dependencies of parameters in the posterior distribution. In this paper, we propose various block sampling algorithms in order to improve the MCMC performance. The methodology is rather general, allows for non-standard full conditionals, and can be applied in a modular fashion in a large number of different scenarios. For illustration we consider three different applications: two formulations for spatial modelling of a single disease (with and without additional unstructured parameters respectively), and one formulation for the joint analysis of two diseases. The results indicate that the largest benefits are obtained if parameters and the corresponding hyperparameter are updated jointly in one large block. Implementation of such block algorithms is relatively easy using methods for fast sampling of Gaussian Markov random fields ( Rue, 2001 ). By comparison, Monte Carlo estimates based on single-site updating can be rather misleading, even for very long runs. Our results may have wider relevance for efficient MCMC simulation in hierarchical models with Markov random field components.