Y32－300型四柱式压力机工作台的设计

利用弹性力学的变分原理，对Ｙ３２－３００型四柱式万能压力机主机工作台的强度和刚度进行了研究，并给出了估算其变厚度的实用方法。     

时间数据库（Tbase）的设计与实现

提出了在数据设计中时间数据库这一重要概念，应用这一概念，较好地实现了税收计划管理与分析系统。实践表明，设计方法是正确的。     

谈火灾事故认定的法律属性及实践建议

司法实践中对火灾事故认定的行政可诉性存在较大争议,笔者通过分析行政诉讼法意义上具体行政行为内涵.结合新修订的<消防法>和公安部<火灾事故调查规定>的相关规定,明确火灾事故认定是鉴定结论和处理纠纷的证据,不具备可诉性,并根据证据规则对火灾事故认定工作提出确实可行的建议.     

模糊综合评判法在城市交叉口综合质量评价中的应用

为了全面评价城市交叉口综合质量,选择了交叉口混合交通运行状态评价指标,并通过指标隶属度函数研究建立了相应的模糊综合评判模型.结合实例对其综合运行质量进行了评价分析和聚类排序,从而为评估城市交通拥堵、制定相应的交通管理和控制策略提供了一种有效的定量分析方法.     

壮语亲属词语义关系量变的回归分析

壮语亲属词中的汉借词使早期的亲属语义关系发生了量变，且这种量变在壮语方言中具有随机性。文章以“亲属语义关系”为因变量，亲属词的“变异均值”为自变量，用回归分析的方法确定了两个变量间单向正相关的因果属性。     

多块神经网络误差反传的新概念

连接型网络的误差反传学习通常只是改变网络的权系数，所学的知识仅存储子所用网络内部神经元的连接之中，而神经元的作用函数在学习过程中保持不变．人脑中的神经无处理信息的方式对变化的信息环境应该具有相应的自适应性，这样的观点用于连接型网络的学习便意味着，在学习过程中，不仅网络内部神经元的连接，表示神经无处理信息方式的作用函数也应该可以变化，参与学习．本文对具有上述功能的多块神经网络以矢量一矩阵的形式给出了一般性的描述，并介绍了相应的误差反传学习算法．多块神经网络及其学习算法的矢量一矩阵描述有助于网络的稳定性分析和学习算法的收敛性分析．     

^4He^＋离子在C和Cu上能量沉积系数的理论计算

利用部分地考虑能量损失的角关联的改进离子输运双群模型，计算了＾４Ｈｅ＾＋离子垂直入射到Ｃ和Ｃｕ上的能量沉积参数，改进了早期的离子输运双群模型。     

Topography of acoustic response characteristics in the midbrain inferior colliculus of Kunming mouse

Topography of acoustic response characteristics of the midbrain inferior colliculus(IC)of the Kunming mouse was studied by using extracellular recording techniques.The characteristic frequency(CF)range represented in the different divisions of the IC differed markedly:4-15 kHz in the dorsal cortex(DC),10-70 kHz in the central nucleus(CN),and 4-35kHz in the external cortex(EC).The CF in the CN increased from dorsal and lateral to ventral and medial,higher CFs represented at its ventromedial part and lower CFs at its dorsal part.The isofrequency contours of CFs were incurvate.Minimum thresholds(MT)of the auditory neurons in DC and the central part of CN were lower(about 10dB SPL),but considerably higher in the dorsal and ventral region of EC.Results suggest that each of the divisions in the mouse IC may have different auditory functions.     

Regression Analysis of Interval-Censored Data with Informative Observation Times Under the Accelerated Failure Time Model

This paper discusses regression analysis of interval-censored failure time data arising from the accelerated failure time model in the presence of informative censoring. For the problem, a sieve maximum likelihood estimation approach is proposed and in the method, the copula model is employed to describe the relationship between the failure time of interest and the censoring or observation process. Also I-spline functions are used to approximate the unknown functions in the model, and a simulation study is carried out to assess the finite sample performance of the proposed approach and suggests that it works well in practical situations. In addition, an illustrative example is provided.