基于Web的ICF物理实验数据查询系统

随着“神光”-Ⅱ的运行和“神光”-Ⅲ原型的即将建成，物理实验数据、实验参数以及各探测器的实验记录也将越来越多。为了方便物理实验人员对实验数据进行后续处理，必须建立有效的数据管理和查询系统。系统建立的ICF物理实验数据查询系统，实现了对实验参数和数据有效的管理和利用，该系统应用计算机网络技术及数据库技术，并用Web网页浏览的方式．以方便相关物理实验人员对实验参数和实验数据的查询和调用，即时全面了解实验状况，从而有利于对实验数据进行分析，指导下一步的具体实验。     

激发对相干态的等阶Y压缩效应

用数值计算法研究了激发对相干态|ζ;m〉＝a^+mb^+m|ζ〉的等阶Y压缩效应.结果表明:对于态a^+mb^+m|ζ〉,光场存在着等阶K(＝2,3,4,5,…)次方Y压缩效应,但是随着场模上光子增加数m的增大,等阶K次方Y压缩效应减弱.     

不确定度在大学物理实验中的应用

介绍了不确定度计算的有关概念 ,并根据大学物理实验的特点 ,给出了不确定度的简化计算方法。     

杨氏模量的不确定度评定

本文介绍杨氏模量的不确定度计算方法。     

资源有限网络计划的PRWI启发式优化方法

本文在综合考虑了有资源约束的网络计划结构特征、资源强度、时间约束等方面因素的基础上，提出了一种新的资源优化的启发式优化方法—ＰＲＷＩ方法，并通过分析证明了该方法处理问题的效果较现有的其它方法好。     

图的度序列不等式

用代数的方法证明了有关图度序列的几个不等式，并且得到了其相应的极图。     

IPv4/IPv6翻译网关的研究

In this paper, a model of translation gateway is proposed. The communications between IPv4 network and IPv6 network are realized by using the Microsoft intermediate driver technology in environment of Windows 2000.     

Evolution of Weighted Networks by Duplication-Divergence Mechanism

The duplication and divergence process is ubiquitous in nature and man-made networks. Motivated by the duplication-divergence mechanism which depicts the growth of protein networks, we propose a weighted network model in which topological evolution is coupled with weight dynamics. Large scale numerical results indicate that our model can naturally generate networks with power-law-like distributions of degree, strength and weight. The degree-strength correlation is illustrated as well. These properties are in agreement well with empirical data observed in real-world systems. Furthermore, by altering the retention probability δ, weighted, structured exponential networks are realized.     

MES动态修饰PDMS芯片毛细管电泳电化学检测多巴胺和肾上腺素

在2-(N-吗啉)乙磺酸(MES)动态修饰的聚二甲基硅氧烷(PDMS)微通道中,采用在柱安培检测方式,分离并测定了神经递质多巴胺和肾上腺素.实验中对分离电压、检测电位以及添加剂浓度等参数进行了探讨和优化.结果表明,修饰后的通道减少了对被测物的吸附,有效提高了分离度,多巴胺和肾上腺素的检测限分别为2.0 μmol/L和3.7 μmol/L.     

Synchronizing Complex Networks by an Adaptive Adjustment Mechanism

We propose an adaptive adjustment mechanism for synchronizing complex networks, in particular for sociological or/and biological systems. We do not take it for granted that a dynamical system is put on isolated nodes and they are coupled with each other by one （or more） variable（s）, as employed in most previous models. As a replacement, we suppose that each node may have any finite number of possible states, and their evolutions with time are determined by their nearest-neighbouring （or even second-nearest-neighbouring, etc） nodes in an adaptive adjustment mechanism. It is found that synchronization can be achieved for almost all connected networks and that the scale-free property can evidently improve the synchronizing speed.