Synthesis of magnetically recoverable ferrite (MFe2O4, M Co,Ni and Fe)-supported TiO2 photocatalysts for decolorization of methylene blue

Effects of ferrite materials as supports (CoFe₂O₄, NiFe₂O₄, and Fe₃O₄) on nano-TiO₂ were elucidated by their use in the oxidation of methylene blue. These photocatalysts, which were synthesized by co-precipitation, were characterized by XRD, SEM, EDS and VSM. The crystalline phase of TiO₂ onto magnetic MFe₂O₄ was formed by anatase and rutile. TiO₂/CoFe₂O₄ exhibited the strongest magnetic property of the prepared catalysts, and the photocatalytic efficiencies followed the order TiO₂/CoFe₂O₄ > TiO₂/NiFe₂O₄ > TiO₂/Fe₃O₄. MB decolorization was enhanced with the amount of TiO₂ on the photocatalyst, and was moderately affected by the extent of structural distortion of ferrite supports.     

一种基于单模型的网页净化方法

为了能够更好地获得和处理网页中的正文信息,本文提出基于改进的DOM树和BP神经网络的网页净化算法。该算法根据DOM树和网页内容的特征用HTMLParser把网页转换成一棵内容块树。因网页子内容块具有相当明显的数值特征,可以通过BP神经网络建立网页噪音信息过滤模型。这样使得网页净化更加模型化,也能够取得更加好的效果。     

基于小波的医学图像去噪方法研究

为有效地表现医学图像原有信息中有用的信息,降低医学图像受噪声干扰的现象,减少诊断误差,本文将现有的小波图像去噪方法运用于医学图像,并对各种方法进行实验分析比较,以提供医学参考。实验发现,与较常用的均值滤波与中值滤波相比,小波去噪方法有效提高了医学图像的去噪PSNR值。     

基于ASP.NET的课目考试平台的设计与实现

由于传统的改卷模式效率低下,重复性工作较多。为解决这一问题,提出一种基于ASP.NET的课目考试平台,该平台采用SQL server数据库存储试题库,运用ASP.NET和C#搭建平台结构,以B/S的形式展示考试界面,界面操作简单,零安装,方便学生和教师操作。目前该平台已完成设计并且投入到实际教学中运用,经过调查发现,平台运用后明显减少教师重复性工作。     

基于Windows 平台的动态取证系统

针对目前一些动态取证模型的不足,在分布式网络取证模型的基础上设计了一个基于Windows平台的动态取证系统,能够实现网络中的计算机作为作案目标和作案工具双重角色时的取证,具有实时获取多种数据源、取证过程隐秘、取证分析算法可扩展等特点。介绍了动态取证系统中各功能模块设计,并阐述了系统设计中涉及到的关键技术,最后通过模拟测试表明该系统能够在Windows网络下实现动态取证。     

Model based laser-ultrasound determination of hardness gradients of gas-carburized steel

Gas carburizing is a common industrial process utilized for case hardening of low carbon steels. However, there is a lack of non-destructive evaluation systems for the measurement of hardness-depth profiles. We propose a novel measurement method for the determination of hardness-depth profiles of two-step gas carburized steel specimens. The method is based on the measurement of broadband laser excited Rayleigh waves. Rayleigh waves were generated by a pulsed Nd: YAG laser in the thermoelastic regime and measured with a heterodyne Mach-Zehnder interferometer in the near-field. From two measurements with different source to receiver distances the dispersion diagrams were calculated by means of the phase spectral analysis method. In order to simulate the observed dispersive behavior of the Rayleigh waves, first the two-step gas carburizing process was simulated using solutions of the diffusion equation. The resulting continuous hardness profile was then discretized into up to 100 layers. Thereafter the Rayleigh wave dispersion diagram was calculated from the discretized stack of layers using a delta-matrix formulation of the Thomson-Haskell transfer matrix method. In order to obtain best fitting hardness profiles, the simulated dispersion diagrams were fitted to measurements with a curve fitting algorithm. Comparison of the Rayleigh wave inversion method with destructively obtained Vickers hardness profiles shows good quantitative agreement.     

Cryogenic effects during casting on the wear behavior of aluminum-alloy/glass MMCs

This paper studies the wear behaviour of aluminum alloy/glass composites cast using cryogenically cooled copper chills. The size of the glass particles range from 50 to 100 μm and the content by weight ranges from 3% to 12% in steps of 3%. The superior mechanical properties of the castings, particularly their ultimate tensile strength (UTS), hardness and wear resistance, are discussed in relation to their microstructure. Results of the investigation indicate that, strength, hardness and wear resistance of the composite developed are highly dependent on the chilling rate and also the dispersoid content of the composite. The wear mechanisms are also studied using scanning electron microscopy.     

Timeliness in recommender systems

Due to the high efficiency in finding the most relevant online products for users from the information ocean, recommender systems have now been applied to many commercial web sites. Meanwhile, many recommendation algorithms have been developed to improve the recommendation accuracy and diversity. However, whether the recommended items are timely or not in these algorithms has not yet been well understood. To investigate this problem, we consider a temporal data division which divides the links to probe set and training set strictly according to the time stamp on links. We find that the recommendation accuracy of many algorithms are much lower in temporal data division than in the random data division.With a timeliness metric, we find that the low accuracy is caused by the tendency of these algorithms to recommend out-of-date items, which cannot be detected with the random data division. To solve this problem, we improve the considered recommendation algorithms with a timeliness factor. The resulting algorithms can strongly suppress the probability of recommending obsolete items. Meanwhile, the recommendation accuracy is substantially enhanced.     

Novel monoclonal antibody-based sensitive enzyme-linked immunosorbent assay and rapid immunochromatographic strip for detecting aflatoxin M1 in milk

Monoclonal antibody (mAb) that is specific to AFM1 was generated from the hybridoma cell line, 10F3C10, which was obtained by the fusion of mouse NS1 myeloma cells with the spleen cells of mouse that had been immunized with AFM1-bovine serum albumin (BSA). The 10F3C10 mAb is belong to the immunoglobulin G1 isotype. Both competitive direct and indirect enzyme-linked immunosorbent assay (ELISA) was utilized to characterize the mAb for AFM1. The concentrations of AFM1, AFB1 and AFG1 that caused 50% inhibition (IC₅₀) of the binding of AFM1-horseradish peroxidase (AFM1-HRP) to the antibody were found to be 0.022, 0.310 and 2.12 ng/mL, respectively. The immunochromatographic strip (immunostrip) assay with mAb-gold nanoparticle conjugates as a detection marker exhibited a visual limit of detection of 0.1 ng/mL for AFM1 and the analysis took a total of 10 min. Closely examining 17 milk-based samples using cdELISA revealed that four were slightly contaminated with AFM1 at concentrations from 0.002 to 0.054 ng/mL. All milk samples were negative in the immunostrip test because the levels of contaminant were below the detection limit of the strip. Notably, the presented cdELISA and immunostrip methods are highly sensitive methods for detecting AFM1 in milk.