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。     

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.     

Researching on quadrature conversion structures For an UWB demonstrative receiver

1. INTRODUCTION As the development of technologies of digital signal processing and integrated circuits, the structure of wireless communication system has been improved. Many schemes for software defined radio (SDR) systems have been developed since 1995, and they can be divided into five tiers of solutions according to their developing history and their definitions[1]. The five tiers are conventional hardware-implemented scheme; software-controlled radio scheme; SDR, that implements m…     

全球变暖-研究挑战日本全球变暖倡议书报告

本专题著作是“Chikyu Ondanka Kenkyu no Saizensen（全球变暖研究方法技术形势）”的英文译本，是针对日本政府内阁科学与技术政策委员会（CSTP）所制定的全球变暖研究倡议书的五份报告书之一。其余四份报告书分别为废弃物清理和资源循环技术、关于江河流域与城市地区生态和谐发展的改造、化学物品风险管理以及世界水循环圈。     

水中酚的催化空气氧化研究

本文研究了水中酚在常压下的催化空气氧化过程。所采用的催化剂为以M_nO_2为主要成份的TGS—3型催化剂。苯酚氧化降解过程用高压液相色谱系统作了分析。同时,经过推导得到苯酚降解的动力学模型。