An Inexpensive Gel Electrophoresis-Based Polymerase Chain Reaction Method for Quantifying mRNA Levels

In order to engage their students in a core methodology of the new genomics era, an ever-increasing number of faculty at primarily undergraduate institutions are gaining access to microarray technology. Their students are conducting successful microarray experiments designed to address a variety of interesting questions. A next step in these teaching and research laboratory projects is often validation of the microarray data for individual selected genes. In the research community, this usually involves the use of real-time polymerase chain reaction (PCR), a technology that requires instrumentation and reagents that are prohibitively expensive for most undergraduate institutions. The results of a survey of faculty teaching undergraduates in classroom and research settings indicate a clear need for an alternative approach. We sought to develop an inexpensive and student-friendly gel electrophoresis-based PCR method for quantifying messenger RNA (mRNA) levels using undergraduate researchers as models for students in teaching and research laboratories. We compared the results for three selected genes measured by microarray analysis, real-time PCR, and the gel electrophoresis-based method. The data support the use of the gel electrophoresis-based method as an inexpensive, convenient, yet reliable alternative for quantifying mRNA levels in undergraduate laboratories.     

Data-mining massive real-time data in a power plant: challenges,problems and solutions

Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valuable knowledge hidden behind them. It will be beyond people's capacity to analyze and understand these data stored in such a scale database. Fortunately data-mining techniques are arising at the historic moment. In this paper, we explain the basic concept and general knowledge of data-mining; analyze the characteristics and research method of data-mining; give some typical applications of data-mining system based on power plant real-time database on intranct. Project (No. 06-020017) supported by Zhejiang Provincial Electric Power Corp.     

Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison

Visible and near infrared spectroscopy is a non-destructive, green, and rapid technology that can be utilized to estimate the components of interest without conditioning it, as compared with classical analytical methods. The objective of this paper is to compare the performance of artificial neural network (ANN) (a nonlinear model) and principal component regression (PCR) (a linear model) based on visible and shortwave near infrared (VIS-SWNIR) (400–1000 nm) spectra in the non-destructive soluble solids content measurement of an apple. First, we used multiplicative scattering correction to pre-process the spectral data. Second, PCR was applied to estimate the optimal number of input variables. Third, the input variables with an optimal amount were used as the inputs of both multiple linear regression and ANN models. The initial weights and the number of hidden neurons were adjusted to optimize the performance of ANN. Findings suggest that the predictive performance of ANN with two hidden neurons outperforms that of PCR.     

基于DSP的视觉导航智能车辆路径识别

机器视觉由于具有多种优点,在智能车辆导航中得到广泛应用。针对智能车辆路径导航直线模型的缺点,提出了改进方法和一整套处理流程,以及提高图像处理速度的措施,从而保证图像识别的鲁棒性和实时性。以德州仪器的DEC643数字信号处理器作为图像采集和处理芯片,对智能车辆路径识别系统进行了开发。实验结果表明,采用该方法的智能车辆路径识别系统具有较好的鲁棒性和实时性。     

日本对虾β-actin基因的克隆表达与纯化

利用RT-PCR技术从日本对虾中克隆到β-actin基因的cDNA,通过双酶切将其克隆到原核表达载体pGEX-4T-2中,转化大肠杆菌E.coli BL21感受态细胞,获得阳性克隆.4℃下IPTG诱导表达,Glutathione Sepharose 4B纯化后获得高纯度的β-actin蛋白.①     

肠道菌群结构多样性初筛研究

目的：探讨研究肠道菌群结构的初筛方法,为进行有效、高质量的高通量测序奠定基础.方法：用粪便采样器采集健康儿童粪便进行粪便标本预处理后,采用酚—氯仿方法提取样本菌群基因组DNA,并进行16S rDNAV3区片段PCR扩增,扩增产物用变性梯度凝胶电泳法（denaturing gradient gel electrophoresis,DGGE）检测分析.结果：采用该方法成功地扩增出16S rDNA V3区230bp的片段,经DGGE的方法可以比较出不同儿童粪便样本菌群结构的不同.结论：基于16S rDNA V3区的PCR-DGGE技术能够应用于研究肠道微生物多样性,对于肠道微生物的研究起到了初筛的作用.     

SCORM实时运行环境数据模型的实测研究

SCORM是一套源自美国的E-Learning课件标准,在国际范围内有较大影响。SCORM对数据模型的描述较为抽象,普通用户和开发者较难理解和掌握。应用JavaScript针对SCORM实时运行环境（SCORM RTE）建立的模型检测程序,可以在Moodle平台上观察SCORM数据模型的逻辑表现,并展示出LMS平台与SCORM数据模型的交互规律。     

我国高校数字图书馆参考咨询服务技术现状分析

文章对我国高校图书馆数字参考咨询服务所采用的技术作了全面的综述,并对各种技术进行了比较,指出了今后我国高校图书馆数字参考咨询技术的发展趋势。     

快速诊断小鹅瘟PCR方法的优化建立

为建立快速诊断小鹅瘟的PCR方法,根据已发表的GPV主要结构蛋白VP3基因序列,经多序列比对和Oligo6．0软件分析设计特异性PCR引物。以微量法提取病鹅肝组织DNA,优化PCR反应引物退火温度、循环次数和鉴定其特异性,并与酚氯仿法和煮沸法进行同步对比研究。结果显示,建立的PCR检测方法能够特异性检测病鹅肝组织中GPV的核酸,其扩增片段大小为343bp,最佳退火温度为58℃,最佳循环次数为35次。微量法提取的病毒核酸PCR检测灵敏度分别是酚氯仿法的50倍和煮沸法的2500倍。该PCR检测方法不与鹅副黏病毒、禽流感病毒、传染性支气管炎病毒、鸭瘟病毒以及健康鹅肝组织发生交叉反应。本研究建立的GPVPCR检测方法能够快速诊断小鹅瘟。     

N ode ．j s高效分布式实时应用研究

Node ．js应用平台的出现,为大数据实时应用提供了一个很好的可选技术方案。研究了分布式实时应用处理中任务的抢占式处理策略和双路由策略,并探讨了在Node ．js平台上利用Redis或ZeroM Q技术实现高效可靠分布式实时应用的方法。