从HR人手，协助企业走向国际化

中国企业正在与世界经济接轨,在科技进步、企业全球化的宏观背景中发展,越来越应该重视人力资源的利用与开发。但我国企业形态与全球化的标准定位有很大差距。针对我国企业面临国际化的两点最大的隐忧:人才缺乏与制度不健全,我国企业的人力资源管理急需进行改善。     

NURBS曲面的算法分析及实现

讨论了ＮＵＲＢＳ曲线和节点矢量、控制点和基函数对曲面形状的影响，给出了ＮＵＲＢＳ的算法分析及其实现方案，最后，将ＮＵＲＢＳ曲面与老式曲面（如Ｂ样条、Ｂｅｚｉｅｒ曲面等）进行了比较。     

提高开启式2F48型活塞式制冷压缩机性能的研究

本文通过对2F4.8制冷压缩机热力过程的计算机模拟,获得气阀参数对压缩机热力性能影响的数据资料,以改进气阀结构。经过试验证明,可提高压缩机制冷量和性能系数10%以上。     

ELICITING A DIRECTED ACYCLIC GRAPH FOR A MULTIVARIATE TIME SERIES OF VEHICLE COUNTS IN A TRAFFIC NETWORK

The problem of modelling multivariate time series of vehicle counts in traffic networks is considered. It is proposed to use a model called the linear multiregression dynamic model (LMDM). The LMDM is a multivariate Bayesian dynamic model which uses any conditional independence and causal structure across the time series to break down the complex multivariate model into simpler univariate dynamic linear models. The conditional independence and causal structure in the time series can be represented by a directed acyclic graph (DAG). The DAG not only gives a useful pictorial representation of the multivariate structure, but it is also used to build the LMDM. Therefore, eliciting a DAG which gives a realistic representation of the series is a crucial part of the modelling process. A DAG is elicited for the multivariate time series of hourly vehicle counts at the junction of three major roads in the UK. A flow diagram is introduced to give a pictorial representation of the possible vehicle routes through the network. It is shown how this flow diagram, together with a map of the network, can suggest a DAG for the time series suitable for use with an LMDM.     

《论语·学而篇》第十六章新解

《论语·学而篇》第十六章"不患人之不己知,患不知人也",传统的解释是"不着急别人不了解自己,却着急自己不了解别人",这未能切中孔子原意.从论语的不同注本看,更重要的是从孔子和《论语》的一贯精神看,该章应解释为"不要担心别人不了解自己,而应担心自己没有东西让别人了解".     

论物权法之区分原则

物权行为的独立性决定了区分原则的必然存在.区分原则,不是物权变动与原因行为的区分,而是引起物权变动的物权行为与原因行为即债权行为的区分.区分原则无论在理论或实践上均有极其重要的意义,因而在即将通过的物权法中,应确立区分原则的重要地位.     

A spatiotemporal auto-regressive moving average model for solar radiation

Summary.  To investigate the variability in energy output from a network of photovoltaic cells, solar radiation was recorded at 10 sites every 10 min in the Pentland Hills to the south of Edinburgh. We identify spatiotemporal auto-regressive moving average models as the most appropriate to address this problem. Although previously considered computationally prohibitive to work with, we show that by approximating using toroidal space and fitting by matching auto-correlations, calculations can be substantially reduced. We find that a first-order spatiotemporal auto-regressive (STAR(1)) process with a first-order neighbourhood structure and a Matern noise process provide an adequate fit to the data, and we demonstrate its use in simulating realizations of energy output.     

发展党内民主的关键：完善党的代表大会制度

党内民主是党的生命。科学完善的党的代表大会制度，是保证党内民主得以存在和发展的最好的制度设计。也是党保持生机与活力的最强有力的制度保障。因此，要发展党内民主和完善党的代表大会制度，就要健全党代表选举制度，确保党的权力产生的民主性；要理顺党代会、全委会、纪委的关系，确保党的权力设置的科学性；要完善报告、质询和提案制度，确保党的权力监督的实效性。     

代谢综合征基础与临床系列研究——GRGDSP/7E3对动脉粥样硬化内皮细胞MMPs的mRNA表达的影响

目的了解GRGDSP/7E3对基质金属蛋白酶（MMP-2,MMP-9）mRNA表达的影响。方法体外培养人脐静脉内皮细胞,分别用酶谱法和逆转录聚合酶链式反应（RT-PCR）检测MMP-2,MMP-9活性和mRNA表达。待细胞融合成单层后,分别加入无血清培养基、静息期血小板、活化后血小板及interleukin-1β（IL-1β）,共同培养60min后,洗去血小板,内皮细胞继续培养6h。上清液及细胞分别用于酶谱法检测MMP-2和MMP-9活性,以及RT-PCR分析mRNA表达。结果内皮细胞与活化血小板共同培养后,酶谱法显示：与对照组相比,未活化的血小板轻微诱导MMP-2和MMP-9分泌,而活化状态的血小板能显著诱导这二者的分泌,与IL-1β的作用相当;而且还可以见到62kDaMMP-2活化形式。加入阻断剂GRGDSP以及GPⅡb/Ⅲa单克隆抗体（7E3）作用后检测发现,MMP-2和MMP-9分泌减少。与活化血小板共同培养后的内皮细胞表面表达uPAR和MT1-MMP以及上清液中MMP-2的mRNA与对照组相比明显增高,而静息状态的血小板作用不显著。加入GRGDSP或7E3后,mR-NA的表达降低。结论①活化状态的血小板与IL-1β的作用相当,能显著诱导MMP-2和MMP-9分泌;能明显增高内皮细胞（EC）-uPAR和MT1-MMP及上清液中MMP-2mRNA的表达;②GPⅡb/Ⅲa阻断剂可能抑制血小板在不稳定斑块部位聚集、粘附等一系列炎症反应。     

A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models

Factor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi‐environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models.