Proteomic analysis of sera of asymptomatic,early‐stage patients with Wilson's disease

Wilson's disease (WD) is characterized by excessive accumulation of intracellular copper in liver and extrahepatic tissues, leading to significant oxidative stress and tissue damage. To date, several diagnostic biomarkers for WD such as serum ceruloplasmin, serum or urine copper levels and copper content in liver have been identified. However, these biomarkers may not be convincing for the diagnosis in some WD patients. To identify additional novel diagnostic biomarkers, we compared the serum protein profiles of asymptomatic childhood WD patients (n=20), without neurologic manifestation or liver cirrhosis, with normal controls (n=13). Fourteen spots, five up‐regulated and nine down‐regulated (>2‐fold), were differentially expressed in WD patients in comparison to normal control on 2‐DE. Among them, three spots were down‐regulated in both male and female WD. MS/MS analysis revealed that the three spots were complement component C3, complement factor B and alpha‐2 macroglobulin. By comparative proteome analysis, complement component C3, complement factor B and alpha‐2 macroglobulin, which are related to oxidative stress and inflammation, turned out to be good candidates for novel diagnostic biomarkers for early stages of WD.     

Reducing control points in lofted B-spline surface interpolation using common knot vector determination

A new algorithm for reducing control points in lofted surface interpolation to rows of data points is presented in this paper. The key step of surface lofting is to obtain a set of compatible B-spline curves interpolating each row. Given a set of points and their parameterization, a necessary and sufficient condition is proposed to determine the existence of interpolating B-spline curves defined on a given knot vector. Based on this condition, we first properly construct a common knot vector that guarantees the existence of interpolating B-spline curves to each row of points. Then we calculate a set of interpolating B-spline curves defined on the common knot vector by energy minimization. Using this method, fewer control points are employed while maintaining a visually pleasing shape of the lofted surface. Several experimental results demonstrate the usability and quality of the proposed method.     

不同产地黄柏的近红外指纹图谱鉴别分析

建立用近红外漫反射光谱鉴别不同产地黄柏药材的新方法.采集不同产地的黄柏药材及其伪品的近红外漫反射光谱,用模式识别方法进行聚类分析,建立判别模型并用三重交叉验证的方法对模型稳定性进行验证.黄柏样品与伪品能较好地区分开;建立模型后对已知训练集样本的分类精度高达100%,对未知样本的预测精度达到100%,该模型具有很好的预测性能,这说明了所建方法性能优良,能够适用于黄柏药材的不同种植产地分类鉴别.近红外光谱法简便、快速、不破坏样品,结合模式识别方法能够准确鉴别正品、伪品以及不同产地的黄柏药材.     

数据结构在Java语言中的实现

通过实例详细分析了数据结构中数据和操作在Java环境中的实现过程,从而学会编写更加高效的程序.     

拼音文本驱动的任意嘴唇曲线的动画生成

口型的变化是人脸动画中的重要组成部分.为了能够简单、形象地研究口型曲线动画,定义了一种新的口型LAP模型,用28个LAP控制口型形状,并用Cardinal曲线进行绘制,得到了很逼真的口型效果.提出将已测定的拼音基本视位的标准LAP值应用到不同嘴唇上的自适应动画方法.首先计算出"单位LAP参数值";再根据任意指定的嘴唇的宽度、高度和突出度,计算出适合该嘴唇所有视位的每个LAP;最后以任意拼音文本驱动该嘴唇,生成连续动画.在动画实现过程中,采用插值来实现口型与口型之间的连续过渡,同时考虑前一口型对后续口型的影响,以达到连续、光滑的视觉效果.     

基于提升格式的M带自适应小波变换

提出了基于提升格式的M带自适应小波设计方法.首先设定M带提升小波预测算子与更新算子的基本形式,然后根据提升结构及所选取的误差准则来自适应地调整预测算子及更新算子的系数,从而得到适合给定应用的最优M带提升小波.与目前对M带小波的研究相比较,采用提升格式得到的M带自适应小波既保持了提升方法的快速、简单及可直接在时(空)域上运算的特点,又具有根据实际问题设计出优化小波的优势.给出了两个3带自适应提升小波的设计实例.     

UPS电源的选择与使用

随着计算机和网络的快速发展和广泛应用,UPS市场已进入了一个成熟阶段。如何选择与使用UPS已经成为用户最关心的问题。本文主要介绍了UPS的种类和作用,指出了用户选用、维护UPS应注意的一些问题。     

如何实现合同网上审批

合同审批是每个企事业单位的重要工作之一,每个合同的签订都需要经过相关职能部门的审核,这个过程往往要花费较长的时间,但随着计算机网络、通信网络、软件技术的不断发展和进步,通过网上审批合同来提高工作效率、节约成本、增强顾客满意度已成为现实。本文从合同网上审批的研发背景、系统功能、系统结构、系统特点及其带来的效益等方面进行论述,并对该系统存在的困难、未来发展趋势等进行分析。     

Ta_2O_5敏感膜H~＋－ISFET研究

在不用金作掩蔽膜的情况下,在氢氟酸混合液中对采用直流反应溅射方法制备的Ｔａ２Ｏ５薄膜进行选择性腐蚀,制成Ｔａ２Ｏ５膜Ｈ＋－ＩＳＦＥＴ。测试结果表明,该器件在灵敏度、线性范围、线性度、响应时间、滞后、时漂和选择性等方面普遍优于Ｓｉ３Ｎ４膜同类器件。可直接用于溶液的ｐＨ值测量。