中国传统管理人员心理素质研究

管理工作要求管理人员必须具备一定的心理素质。本文从“德”、“才”、“知”、“心”四个方面探讨了中国传统的管理人员心理素质     

AN ALGORITHM FOR THE CONSTRUCTION OF OPTIMAL OR NEAR-OPTIMAL CHANGE-OVER DESIGNS

This paper presents an algorithm for the construction of optimal or near optimal change-over designs for arbitrary numbers of treatments, periods and units. Previous research on optimality has been either theoretical or has resulted in limited tabulations of small optimal designs. The algorithm consists of a number of steps:first find an optimal direct treatment effects design, ignoring residual effects, and then optimise this class of designs with respect to residual effects. Poor designs are avoided by judicious application of the (M, S)-optimality criterion, and modifications of it, to appropriate matrices. The performance of the algorithm is illustrated by examples.     

二维氢原子和二维谐振子(英文)

本文借助于SU（1．1）代数找出了二维氢原子与二维谐振子的能量本征值。能基本征态、角动量以及能级简并度间的关系．     

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。     

论大学生的消费心理与艰苦奋斗的革命传统教育

目前在大学生中存在着盲目消费的趋势,因此,经常对大学生进行艰苦奋斗的革命传统教育,就成为我们思想政治工作中的一项重要任务。     

《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.