Fabricating of silver and copper nano/microtubes using nano-scale glass fibers as templates

In this paper, large-scale uniform silver and copper nano/microtubes with high length diameter ratios have been successfully synthesized by a facile approach, using low-cost nano-scale glass fibers as templates. The tubular structures can be obtained by reducing of Ag and Cu ions on the surface of the fibers, along with removing the templates. The samples are characterized by SEM and XRD. Results show the tubular structures are very uniform and the tubular walls are composed of densely coalesced crystalline nanoparticles of 30–50 nm.     

浅谈谷类油料的特性及加工特点

通过阐述谷类油料的特点，揭示了谷类油料的加工过程与一般油料加工的不同点， 进而提出了谷类油料在加工过程中所必须考虑的因素。     

超导参量及其拟合程序

测量了非晶Ｚｒ＿（６５）Ｃｏ＿（３５）在低温超导临界状态的磁致电阻变化规律，观察并分析了超导涨落特性，编制了拟合程序．通过对无序系统电子定域化和超导涨落理论的拟合，确定了不同温度下的弛予时间和超导涨落参量．     

信息安全的资产评估方法

一、概述 信息安全风险评估过程,先是对资产、威胁、脆弱性、潜在影响和现有安全措施进行识别、分析和评价,然后综合这些风险要素的评估结果,得出风险的评估结果.资产是风险的第一评估要素,其他要素的评估都是以资产为前提的.也就是说,威胁评估是针对所关注资产面临的威胁,脆弱性评估是针对所关注资产自身的脆弱性,潜在影响评估是针对所关注资产失效时的负面影响,现有安全措施评估也是针对所关注资产已具备的安全措施.因此,资产评估的正确性和准确性对于后续的各风险要素及其综合评估的导向至关重要.换一种说法就是,资产评估的偏差会导致关键资产的误选或遗漏,进而导致风险评估的方向性或片面性错误.     

Win32环境下的OpenGL程序设计

OpenGL是目前公认的三维图形开发标准,在Win32环境下开发高质量高性能的三维图形应用程序,OpenGL是比较理想的选择。简要介绍Win32环境下,使用OpenGL进行图形操作的具体步骤,详细介绍Win32环境下进行Open-GL编程涉及的相关技术细节,如关联设备描述表和绘制描述表、图形显示与重绘、实时动画与交互操作等,并编写一个简单的动画例程,较全面地演示了Win32环境下的OpenGL编程方法。     

光折变晶体的光衍射机制研究

本文研究了光折变晶体的自衍射光斑,它是入射光束及其在晶体后表面的反射光束与由晶体缺陷所致散射光的简并四波混频过程,其锥角由位相匹配条件△K=0确定,并可用Ewald球作图法解出.实验和理论分析表明上述反射光束对光折变的自衍射光产生是有作用的.     

微机控制潜水电泵试验台优化设计的研究

本文在潜水电泵试验台系统分析的基础上,利用技术经济学的价值工程法建立了潜水电泵试验台优化判据和优化设计的数学模型。首次用数值求解的方法求得最佳仪表组合方案。为潜水电泵试验台的设计提供了理论依据。     

Discussion of Dissipation Structure in a Directionally Solidified Alloy

The dissipation theory was introduced into the solidification area to describe the inherent laws of solidification from a new viewpoint. Discussion demonstrates that the solid / liquid interface in a directionally solidified alloy belongs to a kind of dissipation structure     

A novel fluorescent label based on organic dye-doped silica nanoparticles for HepG liver cancer cell recognition

In this paper, we report a method for the recognition of HepG liver cancer cells with the use of a novel fluorescent label based on organic dye-doped fluorescent silica nanoparticles. The novel organic dye-doped silica nanoparticles are prepared with a water-in-oil microemulsion technique. The silica network is produced by the controlled synchronous hydrolysis of tetraethoxysilane and 3-amino-propyltriethoxysilane (APTES). The organic dye fluorescein isothiocyanate is doped inside as a luminescent signaling element, through covalent bonding to the amino group of APTES. The organic dye-doped core-shell nanoparticles are highly luminescent and exhibit minimal dye leaching and excellent photostability. A novel fluorescent label method based on biological fluorescent nanoparticles has been developed. The dye-doped fluorescent silica nanoparticles are covalently immobilized with anti-human liver cancer monoclonal antibody HAb18. We have used antibody-labeled fluorescent nanoparticles to recognize HepG liver cancer cells. It has been observed that the bioassay based on the organic dye-doped nanoparticles can identify the target cells selectively and efficiently. The fluorescent nanoparticle label also exhibits high photostability.     

基于改进权值优化模型的光伏功率区间预测

区间预测方法可以反映光伏发电功率可能的变化范围，提供比点预测方法更丰富的预测信息。文章提出了一种基于径向基函数（radial basis function，RBF）神经网络的区间预测模型以直接输出光伏功率预测区间。为优化模型输出区间的性能和避免惩罚系数选择问题，构建了一种考虑区间预测偏差信息的改进预测区间优化模型，并采用粒子群算法（particle swarm optimization，PSO）求解，获得最优RBF神经网络输出权值以提高预测区间的可信度和准确性。通过对比传统区间优化模型和所提改进区间优化模型的预测结果，发现改进区间优化模型能够获得宽度更窄和预测偏差更小的光伏功率预测区间，可为调度决策提供更准确的辅助信息。