Monitoring the Aggregation of Dansyl Chloride in Acetone through Fluorescence Measurements

The aggregation of dansyl chloride (DNS-Cl) in acetone has been studied in detail by steady-state fluorescence techniques.It has been demonstrated that DNS-Cl is stable in acetone during purification and aggregation study processes.The aggregates are not solvolyzed in acetone,and do not take part n any chemical reactions either.It has been found that DNS-Cl tends to aggregate even when its concentration is much lower than its solubility in acetone.The aggregation is reversible,and both the aggregation and the deaggregation are very slow processes.Introduction of SDS has a positive effect upon the formation and stabilization of the aggregates.     

高校图书馆人员的综合素质略论

高校图书馆既是信息公路的重要站点，社会主义精神文明建设的重要阵地，又是培养高素质人才的摇篮。图书馆馆员的素质是图书馆现代化管理的重要基础，高素质的管理人才是实现高等院校图书馆现代化管理的根本。     

硅一体化薄膜微电极器件及其应用

提出用发展中的硅微机械加工技术设计制作硅一体化薄膜微电极器件．这类微电化学器件具有微电极所特有的全部优点，而且由于结构上的一体化，便于器件整体的微型化和集成化．试用薄膜微电极器件电流法常温直接检测ＣＯ２气体，取得了满意的结果。设想通过器件三维构型设计的改进和完善，器件工作的长期稳定性可望进一步提高．     

高校年轻干部培养选拔和教育的几点思考

培养和选拔德才兼备的年轻干部是高校改革和发展的重要保证。做好这项工作，必须转变观念，严格把握基本素质要求，健全用人机制，加强教育管理。     

On a new stochastic global optimization algorithm based on censored observations

In this paper a new algorithm is proposed for global optimization problems. The main idea is that of modifying a standard clustering approach by sequentially sampling the objective function while adaptively deciding an appropriate sample size. Theoretical as well as computational results are presented.     

新农村建设中人力资源开发分析

分析了当前新农村建设中人力资源的状况与特点,提出在新农村建设中如何吸引人才、留住人才和培养人才的建议。     

对高职高专院校人才培养水平评估工作中问题的分析

分析了目前我国高职高专人才培养水平评估工作中存在的问题,并提出了相应对策。     

初探“微机原理与接口技术”课程的教学改革

本文简述了《微机原理与接口技术》教学中的现状和所存在的弊端,结合自身的教学体会,提出了从教学大纲、教学设计、实验项目的选取、应用能力培养等方面入手,对以往的教学进行了一些尝试性的改革,以期提高学生的学习兴趣和动手能力。     

Algorithms for Finite and Semi-Infinite Min–Max–Min Problems Using Adaptive Smoothing Techniques

We develop two implementable algorithms, the first for the solution of finite and the second for the solution of semi-infinite min-max-min problems. A smoothing technique (together with discretization for the semi-infinite case) is used to construct a sequence of approximating finite min-max problems, which are solved with increasing precision. The smoothing and discretization approximations are initially coarse, but are made progressively finer as the number of iterations is increased. This reduces the potential ill-conditioning due to high smoothing precision parameter values and computational cost due to high levels of discretization. The behavior of the algorithms is illustrated with three semi-infinite numerical examples.