基于课堂教学的多媒体课件设计分析

随着教学水平的提高,目前我国大部分的课堂教学都采用多媒体课件进行教学.然而在多媒体课件的设计方面却存在着非常明显的问题,如屏幕所呈现的内容与课本所呈现的内容基本一样,课件的实际作用无法体现,加剧学生的机械性思维固疾.师生之间缺少良好的沟通,导致教学水平一直难以得到质的提升.本文就课堂教学的多媒体课件设计的现状、出现的原因,以及课堂教学多媒体课件的正确设计方法进行简要的论述,以提高提高多媒体的使用效率.     

架空在“云”端的网络体系结构

随着近年来云技术的飞速发展,常规的数据网络在扩展性、带宽、规模、成本等方面都明显处于劣势地位,已经无法适应未来的发展需求。在这种情况下,云端网络技术在节约运算成本、提升公司运行效率方面有很好的效果。受到了企业的青睐。基于此本文对架空在“云”端的网络体系结构进行探讨。     

SiO2/Zn2SnO4/环氧丙烯酸酯涂层的阻燃性能

为了探究复合纳米颗粒对环氧丙烯酸酯（EA）涂层阻燃性能的影响，以十六烷基三甲基溴化铵（CTAB）和正硅酸乙酯（TEOS）为原料合成了介孔二氧化硅纳米颗粒，以ZnCl₂和SnCl₄·5H₂O为原料合成了锡酸锌（Zn₂SnO₄）纳米颗粒，将它们复合制成了介孔二氧化硅/锡酸锌复合纳米颗粒（SiO₂/Zn₂SnO₄），并用X射线粉末衍射仪（XRD）、透射电镜（TEM）对其表征。将所制的纳米颗粒（介孔SiO₂、Zn₂SnO₄、SiO₂/Zn₂SnO₄）与丙烯酸、丙烯酰胺、EA复合，经UV光固化制备出3种涂层（SiO₂/EA、Zn₂SnO₄/EA、SiO₂/Zn₂SnO₄/EA），通过紫外-可见光谱仪、差示扫描量热仪（DSC）及氧指数测定仪等对涂层的透光率、热稳定性、阻燃性能进行测试。结果表明：SiO₂/Zn₂SnO₄/EA涂层的综合性能较佳，当SiO₂/Zn₂SnO₄质量分数为4.85%时，该涂层的热稳定性及阻燃性能最佳，其极限氧指数、燃烧级别、残炭率（500℃下马弗炉煅烧）和硬度分别为31、V-0、17.32 % 及6H。     

医用高分子材料的现状与应用

概述了医用高分子材料的发展现状及其用途,并介绍了医用高分子材料的发展动向。     

新型染料中间体手性胍的合成及表征

本文以(R)-苯基甘氨酸甲酯盐为原料合成了手性胍—化合物(6),并对合成反应条件进行了探索和优化。化合物(6)上与氮相连的活泼氢原子,可能对某些反应有不利影响,故用碘甲烷对其进行甲基取代,得到了新的手性胍—化合物(7),并做了表征。     

Morphological characterization of the core–shell latex particle by transmission electron microscopy and image analysis

To describe the morphology of the core–shell latex particle of methyl methacrylate–butadiene–styrene graft copolymer (MBS) quantitatively, we propose four parameters, that is, the diameter of the core, the shell thickness (TH), the roundness of the core, and the eccentricity (E); we calculated these parameters with geometrical parameters determined by the analysis of transmission electron microscope images. The mean values and distributions of the four parameters based on a certain amount of particles were used for quantitative characterization of MBS latex samples. With increasing monomer‐to‐polymer ratios of the graft polymerization, both the MBS TH and the numbers of homopolymer particles increased, and the core–shell morphology tended to be irregular. For the MBS latices derived from poly(styrene–butadiene) latex with a wide distribution of particle sizes, the core–shell structures of the larger particles were different from those of smaller ones to a certain extent, and both the TH and the E decreased with increasing core size. © 2003 Wiley Periodicals, Inc. J Appl Polym Sci 89: 855–861, 2003     

Random arithmetic formulas can be reconstructed efficiently

Informally stated, we present here a randomized algorithm that given black-box access to the polynomial f computed by an unknown/hidden arithmetic formula ? reconstructs, on the average, an equivalent or smaller formula \({\hat{\phi}}\) in time polynomial in the size of its output \({\hat{\phi}}\) . Specifically, we consider arithmetic formulas wherein the underlying tree is a complete binary tree, the leaf nodes are labeled by affine forms (i.e., degree one polynomials) over the input variables and where the internal nodes consist of alternating layers of addition and multiplication gates. We call these alternating normal form (ANF) formulas. If a polynomial f can be computed by an arithmetic formula μ of size s, it can also be computed by an ANF formula ?, possibly of slightly larger size s ^O(1). Our algorithm gets as input black-box access to the output polynomial f (i.e., for any point x in the domain, it can query the black box and obtain f(x) in one step) of a random ANF formula ? of size s (wherein the coefficients of the affine forms in the leaf nodes of ? are chosen independently and uniformly at random from a large enough subset of the underlying field). With high probability (over the choice of coefficients in the leaf nodes), the algorithm efficiently (i.e., in time s ^O(1)) computes an ANF formula \({\hat{\phi}}\) of size s computing f. This then is the strongest model of arithmetic computation for which a reconstruction algorithm is presently known, albeit efficient in a distributional sense rather than in the worst case.     

基于遗忘曲线的协同过滤研究

随着信息技术和互联网技术的发展,推荐系统成为解决信息过载的重要方式。而协同过滤因为其算法简单,又能够处理复杂的问题并产生比较良好的效果而被人们广泛应用,也成为了推荐系统中最成功的技术。然而用户的兴趣是时刻变化的,且对于新用户系统无法预测用户的偏好。因此为了解决这一问题,对艾宾浩斯遗忘曲线和推荐算法进行了研究,发现由于人的兴趣是不断变化的,而这种变化是自然遗忘的过程,也就符合遗忘曲线,所以用遗忘函数模拟人的兴趣变化。由于时间对评分的起着很重要的作用,在使用相似度算法时加入了时间因子,对用户的原始评分进行衰减,以此来反应用户的兴趣变化。然后为此算法设计了两组实验来验证算法的有效性。通过两组实验的结果证明,总体上来讲,基于遗忘曲线的相似度的计算方法比传统的算法要好一些。     

利用仿真软件优化电磁场与电磁波教学

针对电磁场与电磁波课程理论公式复杂、相关概念模型抽象的特点,结合长期积累的教学经验,利用软件仿真将电磁场定理模型、分布特性可视化,简化推导计算过程,优化课程结构、节省课时的同时提高了教学效果。