信息网络管理模式新探

管理是生产力发展到一定阶段的特定产物。管理模式是生产关系的具体体现。信息网络管理模式是在当今社会经济、文化、生活的信息化、知识化的潮流下应运而生的一种新的管理模式。它通过对管理要素的优化组合,管理节点功能的正确定位,在分层管理的基础上,引进管理信息平台和高速宽带互联网,使网络具备并行运行和实时处理能力,从而大大提高网络的管理功效。网络的功效评价是网络性能的重要指标之一,它表示一定时期内单位管理成本所产生的目标效果。任何一种管理模式都不是万能的和完美无缺的,也会存在这样那样的不足。因此在实际运行当中应注意调查研究,加强基础和薄弱环节的建设,逐步改善和提高网络的运行机制和性能。作为新事物,信息网络管理模式具有强大的生命力,可以预见它必将使经济和社会生活发生一次深刻的变革。     

Bounded interpersonal inferences and decision making

Summary. Individual decision making is based on predictions about other players' choices as well as on valuations of reactions to predictions. In this sense, a player has a prediction-decision criterion for decision making. We develop a theory of prediction-decision criteria, which enables us to capture new phenomena on individual decision making in games. The decision making situation is described in the epistemic logic GL of shallow depths. There, each player considers his and other players' decision making down to some shallow depths. It is a point of our theory to investigate inferential complexities of interpersonal introspections. In particular, we can discuss a minimal epistemic inferential structure for prediction-decision making. We will find parallel structures in decision making and prediction making, which is called an inner parallelism. The climax of the paper is the consideration of inner parallelisms of prediction-decision making. Received: August 31, 2000; revised version: April 9, 2001     

零件设计中形位公差项目的选择

在进行零件设计时,正确选择形位公差项目及其公差值的确定是一项很慎重的工作,既要根据零件的使用性能和互换性要求,又要考虑生产率和成本的高低。本文仅对形位公差项目的选择进行初步的探讨。     

Alternatives to polynomial trend-corrected differences-in-differences models

A common problem with differences-in-differences (DD) estimates is the failure of the parallel-trend assumption. To cope with this, most authors include polynomial (linear, quadratic…) trends among the regressors, and estimate the treatment effect as a once-in-a-time trend shift. In practice, that strategy does not work very well, because inter alia the estimation of the trend uses post-treatment data. An extreme case is when sample covers only one period before treatment and many after. Then the trend’s estimate relies almost completely on post-treatment developments, and absorbs most of the treatment effect. What is needed is a method that i) uses pretreatment observations to capture linear or nonlinear trend differences, and ii) extrapolates these to compute the treatment effect. This article shows how this can be achieved using a fully flexible version of the canonical DD equation. It also contains an illustration using data on a 1994–2000 EU programme that was implemented in the Belgian province of Hainaut.     

某冷轧厂轧辊平行度测量实施研究

以某冷轧厂轧辊平行度测量为例,分别采用工业全站仪和激光跟踪仪两种设备进行测量,并比较其利弊,为同类工程项目实施提供经验。