5种克罗诺杆菌鞭毛蛋白fliC基因的克隆和序列分析

根据C.sakazakii BAA 894全基因组序列中fliC基因(Gene ID:CP000783.1),设计特异性引物,通过PCR方法扩增了5种克罗诺杆菌fliC基因的全长序列,并通过生物信息学方法对fliC基因进行了序列分析.序列分析结果表明:fliC基因的全长为837bp,编码279个氨基酸.同源性分析表明:5种克罗诺杆菌fliC基因的序列相似性为92.11%~99.40%;与其它细菌的fliC序列进行比较,其核酸序列同源性为51.73%~82.57%.这表明克罗诺杆菌fliC基因具有较高的保守性,可作为制备克罗诺杆菌多克隆抗体或单克隆抗体的一种候选抗原.     

Speed-Sensorless Control Using Elman Neural Network

1. INTanDUCTIONControlling induction motor without sensor is available nowadays. In order to aclileve two-level closed lOops,i. e., digital current lOop and digital speed loop, it is necessary to sense.and digitize the motor phase currentand motor speed. Howver, the sensors involved have the followillg disadvantages. First, they aJre eXPensiveand make up a significan portion of the total cost. Second, they may result in electrical or mechaulcal fault.Based on speed estimation, it is pos…     

基于流式渐进传输的大规模网络地形实时漫游

针对基于网络大规模三维地形的仿真应用需求,提出一种网络地形流式渐进传输与实时绘制方法,该方法通过提出适用于地形几何特征的整数提升小波变换来构造多分辨率地形四叉树模型,并将地形压缩为渐进比特流,提出了针对流式传输的客户端数据调度与预测算法,并基于视点无关批LOD误差控制实现渐进渲染。实验表明,该方法无层次数据冗余,数据压缩比率高,能够有效降低网络数据传输量,客户端能够适应网络带宽变化,实现大规模网络地形场景的实时交互式漫游。     

New design and analysis of finite difference domain decomposition algorithm for the two-dimensional heat equation

<正> It is presented in this paper that the new design and its analysis of finite difference domaindecomposition algorithms for the two-dimensional heat equation,and the numerical results have shownthe stability and accuracy of the algorithms,where Saul'yev asymmetric schemes have been used atthe interface points.The Algorithm Ⅱ in this paper has further extended those developed by Dawsonand the others,Zhang and Shen.     

Application of multi-resolution analysis in sonar image denoising

Sonar images have complex background, low contrast, and deteriorative edges; these characteristics make it difficult for researchers to dispose the sonar objects. The multi-resolution analysis represents the signals in different scales efficiently, which is widely used in image processing. Wavelets are successful in disposing point discontinuities in one dimension, but not in two dimensions. The finite Ridgelet transform （FRIT） deals efficiently with the singularity in high dimension. It presents three improved denoising approaches, which are based on FRIT and used in the sonar image disposal technique. By experiment and comparison with traditional methods, these approaches not only suppress the artifacts, but also obtain good effect in edge keeping and SNR of the sonar image denoising.     

Liquidity dynamics around intraday price jumps in Chinese stock market

Using 4128 single jumps detected from high frequency data of 220 individual stocks in SZ300P index, this paper investigates the liquidity dynamics around price jumps in Chinese market. Some interesting empirical results are obtained and the corresponding explanations are given. The frequency of positive jumps is quite higher than that of negative jumps. The trading volumes and average trade sizes are all in a high level around positive jumps. The relatively low liquidities around negative jumps show that negative jumps may be generated and enlarged by poor liquidity provision. The price reversal after price jumps is significant, and price reversal lasts longer after positive jumps. Moreover, the size and direction of jumps are significantly correlated with the returns and trades in the post-jump trading time. These findings are believed to be associated with the high proportion of retail investors and their herding behavior for price trend chasing.     

实时网络视频广播系统的设计与实现

采用MJPEG压缩算法,研究了基于TCP/IP协议的实时网络视频广播系统的特性及实现方法,并就该系统的视频采集、编码、传输控制和回放等几个方面的问题进行了讨论。研究结果表明,该系统打破了传统的硬压缩、点对点的结构,实现了多点同时发送和接收音频、视频信息的功能。     

近交系BALB／c小鼠繁殖与保种方法的建立和应用

在保种繁殖过程中，采用修饰平行线系统保种法对近交系ＢＡＬＢ／ｃ小鼠进行严格兄妹交配繁殖，保持完整的谱系记录，控制饲养环境条件，成功地建立了ＢＡＬＢ／ｃ小鼠基础群及血缘扩大群，广泛提供科学研究试验应用。     

浅谈高校学术型学生社团建设

分析了高校学术型学生社团现状及特点,探讨了高校学术型学生社团建设的对策。     

基于奇异值分解的高精度重力仪信号处理方法

在分析基于矩阵奇异值分解理论的滤波算法基础上,将其应用到高精度海洋重力仪系统信号处理中.在信号处理过程中,首先采用延迟法理论重构系统的相空间,得到吸引子轨迹矩阵,然后对轨迹矩阵进行奇异值分解,用部分奇异值重构有用信号的最佳逼近矩阵,并与自适应卡尔曼滤波进行了对比分析,以实际信号与处理后信号的信噪比作为衡量2种信号处理方法好坏的依据.理论分析和仿真实验表明,奇异值分解滤波方法和自适应卡尔曼滤波都能在一定程度上消除干扰噪声对重力异常信号的影响,但在相同背景条件下,奇异值分解滤波的性能优于自适应卡尔曼滤波.