滚动式冷床在高钢级油管生产线中的应用

根据石油开采业对石油机械产品的需求 ,利用机械理论基础知识 ,通过实践设计 ,提出了对几何尺寸长的金属管类进行调质处理后的均匀冷却方法 ,以满足其性能要求。     

创建互联网业务价值链

为促进互联网的良性发展,要使设备制造商、电信运营商、虚拟运营商/集团用户、内容提供商和最终用户构成一条互联网业务价值链,价值链的创建对互联网接入设备提出了更高的要求,华为公司的Quid-wayTMA8010Expert多业务综合接入平台可构建宽带城域网分组语音解决方案、可平滑演进为下一代网络中的媒体网关、提供窄带价值链、提供唯一号码业务以及实现多业务综合接入。     

冷轧形变量对钛板材再结晶织构形成的影响

采用三维晶体学取向分布函数（ＣＯＤＦ）分析法研究了工业纯钛板材不同冷轧形变量对织构形成的影响。结果表明，冷轧形变量为５０－７０％时，再结晶退火后形成了（２１１８）（０１１０）和（１０１８）（１２１０）的部分纤维织构，而在３０％较低或８６％较高的形变量冷轧时，形成典型的轧制织构（２１１５）（０１１０）和再结晶织构（１０１３）（１２１０）型式。     

氧化锌压敏电阻的老化机理

研究了ZnO压敏电阻的老化现象,提出了一种新的老化机理-线性链理论。该理论认为,在外电场作用下,压敏电阻势垒高度降低;当降低到一定值时,晶界可变电阻转化为线性晶界电阻,从而压敏链转化为线性链。线性链是稳定的,因而压敏电阻老化到一定程度后其电性能将不能完全恢复。     

蓝疆号起重铺管船托管架拖挂结构的质量及进度控制

蓝疆号起重铺管船是一艘集起重、管道铺设于一身的多功能新型船舶,在铺管作业系统中,设有一连接船体与托管架的独立结构——拖挂结构。介绍这个由特厚高强钢板组焊而成的结构在制造过程和现场施工中的质量控制及进度控制,供从事工程管理人员参考。     

寒区沥青胶浆延性研究

首交提出了沥青胶浆延工的概念，并测定、分析了两种寒区沥青、四种粉胶比在四个温度下的沥青胶浆延度。认为沥青胶浆延度较沥青延度更能反映沥青混合料的流变性能，而且胶浆延度与温度、粉胶比之间有很好的相关性。     

5754-H34铝合金板材生产工艺研究

研究了不同冷变形程度，退火温度对5754铝合金冷轧板材的组织和力学性能的影响，确定了5754合金H34状态板材的生产工艺参数，即冷变形程度25%-45￥，稳定化退火温度120-160℃，保温时间3-6h，在工业生产条件下，其产品的技术指标达到了用户要求。     

DXDK800自动充填包装机料袋长度的调整

本文主要介绍了在DXDK800自动充填包装机中 ,采用一种新型的齿轮—蜗轮、蜗杆差速器来对膜片的进给速度进行微量的调整。及采用一种新型的可调式偏心链轮来调整横封辊的瞬时线速度 ,使其与料袋膜的进给速度相一致     

冷轧带肋钢筋直径与拉丝机卷筒直径的匹配

采用被动式工艺生产冷轧带肋钢筋须经过减径、成型两台轧机连续轧制．要求钢材的秒流量相等，否则将造成断线停产或线材在拉丝机卷筒上打滑，致使卷筒严重磨损．用双层卷筒拉丝机提供动力生产冷轧带肋钢筋时，线材直径与卷筒直径的匹配是在一个小的调整范围，通过轧机拉力控制在一定范围变化，可保证成品尺寸符合公差要求而不产生打滑，从而避免了卷筒严重磨损．     

A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm

The estimation of the differences among groups in observational studies is frequently inaccurate owing to a bias caused by differences in the distributions of covariates. In order to estimate the average treatment effects when the treatment variable is binary, Rosenbaum and Rubin [1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70, 41-55] proposed an adjustment method for pre-treatment variables using propensity scores. Imbens [2000. The role of the propensity score in estimating dose-response functions. Biometrika 87, 706-710] extended the propensity score methodology for estimation of average treatment effects with multivalued treatments.However, these studies focused only on estimating the marginal mean structure. In many substantive sciences such as the biological and social sciences, a general estimation method is required to deal with more complex analyses other than regression, such as testing group differences on latent variables. For latent variable models, the EM algorithm or the traditional Monte Carlo methods are necessary. However, in propensity score adjustment, these methods cannot be used because the full distribution is not specified.In this paper, we propose a quasi-Bayesian estimation method for general parametric models that integrate out the distributions of covariates using propensity scores. Although the proposed Bayes estimates are shown to be consistent, they can be calculated by existing Markov chain Monte Carlo methods such as Gibbs sampler. The proposed method is useful to estimate parameters in latent variable models, while the previous methods were unable to provide valid estimates for complex models such as latent variable models.We also illustrated the procedure using the data obtained from the US National Longitudinal Survey of Children and Youth (NLSY1979-2002) for estimating the effect of maternal smoking during pregnancy on the development of the child's cognitive functioning.