直观推导式演进特征投影法及其在复杂体系分析中的应用

对直观推导式演进特征投影法(HELP)的原理及主要步骤作了简要介绍。综述了HELP的研究情况及其在中草药分析、环境样品分析等领域中的应用，并对该法的优势和发展趋势作出了讨论。     

化学计量学和红外光谱研究3,5-二氨基-1,2,4-三唑合成机理

通过红外光谱在线监测3,5-二氨基-1,2,4-三唑(DAT)的合成过程,应用多元曲线分辨-交替最小二乘法(MCR-ALS)对过程中获得的光谱数据矩阵进行解析,推导出合理的反应机理.反应以水为背景,依次加入二氰二胺与二盐酸肼固体,用红外探头监测反应全过程.用MCR-ALS法对所得光谱数据进行解析,得到反应物、中间体和产...     

渐进因子分析—分光光度法测定Fe^3＋—SCN^—络合物的稳定常数

本文利用渐进因子分析与化学平衡相结合的方法迭代求解逐级生成络合物的各级稳定常数，对Ｆｅ＾３＋－ＳＣＮ＾－体系在水溶液及５０％丙酮溶液中的配体浓度－波长的两维双线性吸光度数据矩阵进行处理，求得水溶液中该络合物第一、二级稳定常数为１ｇｋ１＝２．２６，１ｇｋ２＝１．３０。同时该法还可确定各种组分的存在区间及吸收光谱，本文还对丙酮的存在对Ｆｅ＾３＋－ＳＣＮ＾－络合物的影响作了研究，结果表明丙酮，对高配位络     

GC-MS与正交投影法或渐进窗口正交投影法用于羌活挥发油成分的测定

中药化学组成的定性定量测定是药物活性理论的基础,联用色谱及其相关的化学计量学方法为中药复杂体系的分离和分辨提供了强有力的工具.采用GC-MS法对传统中药羌活中的挥发油成分进行了分离测定,并对其中重叠色谱峰根据其重叠程度,采用迭代的正交投影法(OPA)和非迭代的渐进窗口正交投影法(EWOP)进行了分辨,得到每个组分的纯色谱和光谱曲线,共分辨出98个色谱峰,通过质谱库检索得到其中65个组分的定性定量结果,占总含量的92.13%.     

Modelling of weighted evolving networks with community structures

Many social and biological networks consist of communities–groups of nodes within which links are dense but among which links are sparse. It turns out that most of these networks are best described by weighted networks, whose properties and dynamics depend not only on their structures but also on the link weights among their nodes. Recently, there are considerable interests in the study of properties as well as modelling of such networks with community structures. To our knowledge, however, no study of any weighted network model with such a community structure has been presented in the literature to date. In this paper, we propose a weighted evolving network model with a community structure. The new network model is based on the inner-community and inter-community preferential attachments and preferential strengthening mechanism. Simulation results indicate that this network model indeed reflect the intrinsic community structure, with various power-law distributions of the node degrees, link weights, and node strengths.     

Evolving model of weighted networks inspired by scientific collaboration networks

Inspired by scientific collaboration networks (SCN), especially our empirical analysis of econophysicists network, an evolutionary model for weighted networks is proposed. Besides a new vertex added in at every time step, old vertices can also attempt to build up new links, or to reconnect the existing links. The number of connections repeated between two nodes is converted into the weight of the link. This provides a natural way for the evolution of link weight. The path-dependent preferential attachment mechanism with local information is also introduced. It increases the clustering coefficient of the network significantly. The model shows the scale-free phenomena in degree and vertex weight distribution. It also gives well qualitatively consistent behavior with the empirical results.     

Evolving systems: Adaptive key component control and inheritance of passivity and dissipativity

We propose a new framework called Evolving Systems to describe the self-assembly, or autonomous assembly, of actively controlled dynamical subsystems into an Evolved System with a higher purpose. Autonomous assembly of large, complex flexible structures in space is a target application for Evolving Systems. A critical requirement for autonomous assembling structures is that they remain stable during and after assembly. The fundamental topic of inheritance of stability, dissipativity, and passivity in Evolving Systems is the primary focus of this research. In this paper, we develop an adaptive key component controller to restore stability in Nonlinear Evolving Systems that would otherwise fail to inherit the stability traits of their components. We provide sufficient conditions for the use of this novel control method and demonstrate its use on an illustrative example.