非等温操作的分批式反应釜的计算

分批式反应釜内无空间变化，但其中的反应过程是非稳态过程。从釜式反应器的瞬时能量衡算通式出发，导出了分批釜操作的能量衡算式。它与摩尔衡算式、速率定律、化学计量关系结合，可以数值解算分批式反应釜。对常数热容或平均热容，还可求出分析解。     

短小芽孢杆菌质粒pCJ转化枯草杆菌的研究

本文采用我国自己分离的短小芽孢杆菌抗四环素质粒pCJ3转化枯草杆菌的各种突变体.质粒DNA经氯化铯—溴化乙锭密度梯度离心纯化后转化枯草杆菌的感受态细胞.结果表明枯草杆菌BR151,SB202,168,QB1130及QB1133都可作为质粒pCJ3的受体,转化效率在10~3左右,其中以SB202这株突变体为最高,从各种转化体中提取的质粒及经BamHI消化后的质粒的电泳图均与原质粒pCJ3及其BamHI酶切片段相同,并具有pCJ3的抗四环素转化活性.将pCJ3DNA经BamHI酶切后重新用T_4-DNA连接酶连接再转化枯草杆菌细胞,其转化效率比原质粒高1—2个数量级.研究了二价金属离子、pH及培养基成分对转化的影响,结果证明:Ca~(++)对枯草杆菌转化有促进作用,Cu~(++),Zn~(++)则有抑制作用,转化的最适pH在7.2—7.5之间;营养丰富培养能提高转化效率.     

Differential display analysis of gene expression in invertebrates

Screening for differentially expressed genes is a straightforward approach to study the molecular basis for changes in gene expression. Differential display analysis has been used by investigators in diverse fields of research since it was developed. Differential display has also been the approach of choice to investigate changes in gene expression in response to various biological challenges in invertebrates. We review the application of differential display analysis of gene expression in invertebrates, and provide a specific example using this technique for novel gene discovery in the nematode Caenorhabditis elegans.     

Field Emission Characterization of 1D-Nanostructural ZnO Grown at Low Temperature

Ondeu-ctdio rmse nhsaivoen aaltt rwaicdteed b aan gdr-egaatp d neaaln oosft uartctteunrtialon se bmeiccaounse-of their remarkable physical and chemical properties[1 ,2].Amongthose properties ,the highaspect ratio of these materi-als makes them genuine can…     

视线跟踪技术在人机交互中的研究

人们在观察外部世界时眼睛总是与其它人体活动自然协调地工作,并且眼动所需的认知负荷很低,人眼的注视包含着当前的任务状况以及人的内部状态等信息,因此眼注视是一种非常好的能使人机对话变得简便、自然的候选输入通道.本文介绍了视线跟踪的基本原理、方法,对视线跟踪作为人机交互通道所具有的特点进行了讨论,并指出了其在人机交互领域中的应用及前景.     

LED点阵显示系统设计

LED点阵显示器作为一种新兴的显示器件,是由多个独立的LED发光二极管封装而成.以8×8LED点阵显示器为例,单片机AT89C51作控制器,探讨简单的汉字、英文字母和动态图象显示技术,以及实时的温度测量显示.     

Fractal Characteristic of Soil in Typical Debris Flow.Triggering Region： A Case Study in Jiangjia Ravine of Dongchuan, Yunnan

The structural features of soil in debris flow-triggering region play an important role in the formation and evolution of debris flow. In this paper, a case study on the fractal of soil particle-size distribution （PSDFs） and pore-solid （PSFs） in Jiangjia Ravine was conducted. The results revealed that the soil in Jiangjia Ravine had significant fractal features and its PSDF and PSF had the same variation trend despite different type of soils in debris flow-triggering region： residual soil （RS） 〉 debris flow deposit （DFD）~clinosol （CL）, their fractal dimension of PSDFs are respectively between 2.62 and 2.96, 2.52 and 2.68, 2.37 and 2.52; and the fractal dimension of PSFs are respectively between 2. 75 and 2.95, 2. 57 and 2. 72, 2.59 and 2.64. The fractal dimension of soil reflected its complexity as a self-organizing system and was closely related to the evolution of soil in debris flow- triggering region.     

Web Voice Browser Based on an ISLPC Text.to.Speech Algorithm

A kind of Web voice browser based on improved synchronous linear predictive coding （ISLPC） and Text-toSpeech （TTS） algorithm and Internet application was proposed. The paper analyzes the features of TTS system with ISLPC speech synthesis and discusses the design and implementation of ISLPC TTS-based Web voice browser. The browser integrates Web technology, Chinese information processing, artificial intelligence and the key technology of Chinese ISLPC speech synthesis. It＇s a visual and audible web browser that can improve information precision for network users. The evaluation results show that ISLPC-based TTS model has a better performance than other browsers in voice quality and capability of identifying Chinese characters.     

金属电磁带隙波导特性分析

利用有限差分(FDTD)法分析了两维金属电磁带隙(EBG)波导带隙、耦合频率和模场分布,确定了EBG结构参数和对应的频率范围;利用HFSS建立了金属电磁带隙结构分析模型,设计了带有矩形波导转换的EBG波导.基于HFSS分析该波导,得到了这两种结构的传输谱线,对比说明矩形波导接口适用于窄带应用,而圆形波导接口适用于宽带应用.实验测试结果与数值分析符合较好.     

Learning Vector Quantization Neural Network Method for Network Intrusion Detection

A new intrusion detection method based on learning vector quantization （LVQ） with low overhead and high efficiency is presented. The computer vision system employs LVQ neural networks as classifier to recognize intrusion. The recognition process includes three stages： （1） feature selection and data normalization processing;（2） learning the training data selected from the feature data set; （3） identifying the intrusion and generating the result report of machine condition classification. Experimental results show that the proposed method is promising in terms of detection accuracy, computational expense and implementation for intrusion detection.