钢液定氧测头响应时间和热平衡态

本文分别研究了ＺｒＯ２（ＭｇＯ）固体电解质管头壁厚，参比电极量对定氧测头响应时间的影响，得出了以ＺｒＯ２管头壁厚为０．６０－０．８０ｍｍ，Ｃｒ／Ｃｒ２Ｏ３参比电极加入量为４０－６０ｍｇ所组成的定氧测头响应速度最快，同时采用了“双偶法”对定氧测头在工作过程中的热平衡态进行了研究。结果表明：氧浓差电池中的传热是响应过程的控速步骤，氧电势曲线上峰值的产生是起源于电池中的热平衡态。     

可编程控制器调速器

本文以联合研制成功的水电站可编程控制调速器为对象，详细介绍其硬件与软件构成及工作原理。同时，对多种调节模式等方面也进行了一些探索。     

九十年代计算机网络发展趋势

本文详细介绍了国外计算机网络发展的最新技术，并阐明了计算机网络发展的五种趋势．     

Frequent mtDNA mutations and its role in gastric carcinogenesis

In order to disclose the relationship between mutations of mitochondrial DNA (mtDNA) and gastric carcinogenesis, we screened the entire mtDNA sequence in 30 cases of human gastric cancer and matched normal tissues by using denaturing high-performance liquid chromatography (DHPLC) and DNA sequencing. Our data showed that high frequency (66.7%, 20/30) of mitochondrial genome mutation occurred in gastric cancer. Among these variants, 17 cases (56.7%, 17/30) were identified to be somatic mutation. High level mutant frequency was found in ND4, ND5 coding genes and D-loop control region, which was 36.7%, 26.7% and 30% respectively. Comparing with complexes Ⅲ, Ⅳ and Ⅴof the electron transport chain, we found that variants appeared to be more frequent in the subunit genes of complexⅠ. Most of mutations were base substitutions (85.4%, 41/48). Our results suggested that mutations of subunit genes encoding complexⅠ, especially ND3, ND4 and ND5 genes, might contribute to human gastric carcinogenesis.     

高效凝胶渗透色谱测定硅油分子量及其分布

采用ＨＰＧＰＣ与蒸汽压渗透（ＶＰＯ）结合的方法研究了甲基苯基硅油等分子量及其分布测定方法。     

浅谈运动疗法在康复医疗中的应用

简述了运动疗法在康复医疗中的地位、作用及应用，并介绍了常见的运动疗法。     

具有随机偏差的最优多段卡尔曼估值器

提出了具有随机偏差的最优多段卡尔曼估值器。针对状态模型与观测模型同时具有偏差且偏差模型噪声与状态模型噪声相关的情况 ,给出了具有随机偏差的状态方程的增广状态 ,并通过U V变换对卡尔曼估值器的协方差矩阵解耦得到了最优多段卡尔曼估值器。结果表明 ,多段卡尔曼估值器不仅是最优的 ,而且降低了计算的复杂度     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-     

育人为本与经营学校

本文在研究办学理念内涵和特征的基础上,提出了“育人为本、质量第一,经营学校、适应市场”的办学理念和实现这一理念必须构建的两大体系与两大机制,介绍了实践这一理念取得的成果。     

Discovering Frequent Subtrees from XML Data Using Neural Networks

By rapid progress of network and storage technologies, a huge amount of electronic data such as Web pages and XML has been available on Internet. In this paper, we study a data-mining problem of discovering frequent ordered sub-trees in a large collection of XML data, where both of the patterns and the data are modeled by labeled ordered trees. We present an efficient algorithm of Ordered Subtree Miner （OSTMiner） based on two- layer neural networks with Hebb rule, that computes all ordered sub-trees appearing in a collection of XML trees with frequent above a user-specified threshold using a special structure EM-tree. In this algo- rithm, EM-tree is used as an extended merging tree to supply scheme information for efficient pruning and mining frequent sub-trees. Experiments results showed that OSTMiner has good response time and scales well.