A novel developed method based on single primer isothermal amplification for rapid detection of Alicyclobacillus acidoterrestris in apple juice

Alicyclobacillus acidoterrestris (A. acidoterrestris), as one of the most major spoilage-causing species within the Alicyclobacillus genus, can survive and multiply in the pasteurization process. Nowadays, A. acidoterrestris has become worldwide issue in the fruit juice industry due to its spore-forming and thermo-acidophilic features. A novel single primer isothermal amplification assay (SPIA) was developed for the rapid detection of A. acidoterrestris in apple juice. This assay was designed to target the 16S rRNA gene with a DNA/RNA chimeric primer. Detection of gene amplification was accomplished by amplification curve, turbidity and addition of single strand DNA binding dye SYBR Green II allowing visualization under ultra violet light. The specificity of the assay was confirmed using 7 strains of A. acidoterrestris and 30 strains of non-A. acidoterrestris. The SPIA was highly sensitive and the detection limit was as low as 4.8 CFU/mL. Furthermore, the apple juice inoculated with 61 CFU/mL of A. acidoterrestris could be detected as positive. The novel SPIA with visualization results was successfully applied for the detection of A. acidoterrestris and exhibited high specificity and sensitivity, making it a powerful tool for the detection of A. acidoterrestris in fruit juice industry and being conveniently applied in developing countries with limited resource.     

地矿三维建模及可视化的研究

地矿三维建模及其三维可视化对地质、矿藏信息的获取及地质现象解释具有十分重要的意义。采用基于TIN的多层DEM方法，实现层状地矿实体模型的三维重构，借助于OpenGL图形库实现了层状实体模型的三维可视化，并对模型进行了光照渲染、漫游和切割等操作。     

XANDAR PHARMACEUTICAL: A model plant for process engineering education

This study explores the implementation of a detailed model pharmaceutical production facility in an undergraduate engineering class. Xandar Pharmaceuticals (XP), a fictitious manufacturer, was created and presented to undergraduate engineering students during a current good manufacturing practices (cGMP¹) course in two forms: (1) 3D virtual model and (2) 3D printed model. Data was collected from three separate cohorts over three years with a total of 197 participants. Surveys would gauge student’s sentiments and collect feedback, while quizzes assessed technical understanding. Statistical analysis and effect size calculations would evaluate the differences among the three cohorts. Survey results indicate the 3D printed model has small positive effects on study vs control (groups) regarding understanding of general industry related functions and practices. The 3D printed model also improved students’ interest in critical thinking and investigation. Qualitative feedback and sentiment analysis indicate the model was well received by students and received positive feedback related to visualization, industrial relevance, and student engagement. Use of the 3D printed model (but not the 3D virtual model) has had positive quantitative effects on student quiz scores and feedback. Qualitative improvements to student attitudes and interest are encouraging and suggest further use of 3D printed models in other courses may be beneficial.     

Normal vector generation for sampled data using fourier filtering

A three-dimensional surface is a useful graphic representation of a two-dimensional function which has been sampled on a regular grid. Shading the surface to simulate the effects of direct lighting makes visible small changes in the surface orientation, and enhances realism when the data represents a physical surface such as terrain. Shading interpolation calculations and surface patch generation techniques require the specification of a surface normal vector (or related slope information) at each sample point. These normal vectors are usually generated by averaging local data such as the normal vectors of the surfaces of a triangular mesh connecting the points. This paper describes a technique which uses Fourier filtering to generate normal vectors for two-dimensional sampled data. Images and analysis of frequency spectra are included to show how this technique preserves detail which is lost using the averaging method. Performance figures show that this enhancement of detail in the final image can be achieved for only a small increase in computation time.     

一种聚类挖掘结果的可视化方法

简要介绍了数据挖掘、聚类分析及多维数据可视化,提出将Kmeans算法输出的多维结果集通过主分量分析转换为3D空间点坐标,实现数据挖掘结果的可视化。     

基于Web的空间关联规则提取及可视化的实现

提出了一种基于空间拓扑概念树的关联规则挖掘算法,基于J2EE设计了一个B/S模式的关联规则挖掘工具,给出了Web三维空间关联规则可视化的实现流程,最后将该技术应用于两个具体实例中,并给出实现的运行界面。     

基于实时数值模拟的泥石流危险性分区系统研究

为深入分析揭示泥石流的形成和运动等规律,提高泥石流灾害防治的信息技术应用水平,以VC++和Super MAP混合编程为主要技术,应用计算机可视化技术,研究并实现了基于动量和动能数值模拟的、实时泥石流危险性分区技术。系统以云南东川蒋家沟泥石流作为研究对象,以实验数据和实测数据进行设计和构建。     

路面不平度模拟及其可视化系统的研究

根据路面不平度、自相关函数及功率谱密度三者之问的关系,利用时域AR模型模拟了国标GB7031-86规定的各级路面不平度,并且在Visual C＋＋6．0环境下利用跨平台的虚拟现实集成开发包WTK9．0实现了各级路面不平度的可视化。     

椭球体三维数据场可视化模型及实现

分析了三维数据场可视化的典型应用及两类基本构造方法;提出一种椭球体三维数据场可视化模型,详细论述该模型的物理意义及实现算法,并给出利用该模型及其算法实现三维数据场可视化的实例。通过对效果图的分析表明,该方法所建立的三维图像具有良好的真实感,运行速度快且交互性能强。     

柴油机缸内速度场可视化的一种方法

本文以燃烧理论为基础,阐述进行柴油机后处理可视化的意义,提出在VC 6.0开发平台下,利用OpenGL图形开发工具,进行柴油机缸内工作过程中速度场三维可视化的一种方法,对柴油机缸内工作过程研究有一定的指导意义。