基于Elman型神经网络的金川二矿地表岩移时序预测 模型

建立于煤矿开采基础之上的矿山开采沉陷理论和预测方法并不适用于象金川这样厚大、陡倾的金属矿床开采的岩移问题,因此,本文探讨利用神经网络来对地表岩移进行预测。根据Elman神经网络能够逼近任意非线性函数的特点和具有反映系统动态特性的能力,提出了利用Elman神经网络建立地表岩移时序预报模型的方法。利用金川二矿区GPS监测所得到的时间序列数据,通过对Elman神经网络模型预测值与GPS实测值之间的比较,结果表明模型预测显示了良好的准确性,特别是在时间步长较短情况下,应用于实际预测一定程度上可以弥补金属矿山岩移预测方法不足的缺憾。     

Global Wave Solution of generalized MHD Equations in a Cylindrical Plasma

The linear eigenstate problem of generalized magnetohydrodynamics(MHD) equations in a cylindrical plasma is discussed. The effects of finite frequency and finite pressure perturbation lead to an important result: the resonant layer of the shear Alfven waves is not a singular layer. In this paper, the MHD equations are reduced to four differential equations of first order for perturbed quantities. An analytical dispersion relation for a homogeneous plasma cylinder is obtained. The K. Appert theory is a limiting case of our theory     

DNA功能化纳米金用于生物小分子检测

纳米金是金的微小颗粒,在水溶液中以胶体金的形态存在。胶体金的颜色会随着其粒径及表面修饰差异而发生变化,这种颜色变化可通过肉眼观察;同时,这种改变会产生强烈的光散射或光吸收信号。基于这种信号而建立的纳米金比色检测法,已被广泛用于生物分子(如核酸、蛋白质、多糖甚至是细胞)的检测。DNA功能化纳米生物传感器是利用核酸碱基配对原则进行识别,能实现特定基因片段的持续、快速、灵敏和选择性检测。本文结合最近十年的研究现状,主要论述了DNA功能化纳米金用于比色检测法的原理及用于核酸、蛋白质和部分生物小分子的检测,并评述了其中的挑战和前景。     

DNA功能化纳米金用于生物小分子检测

纳米金是金的微小颗粒,在水溶液中以胶体金的形态存在。胶体金的颜色会随着其粒径及表面修饰差异而发生变化,这种颜色变化可通过肉眼观察;同时,这种改变会产生强烈的光散射或光吸收信号。基于这种信号而建立的纳米金比色检测法,已被广泛用于生物分子(如核酸、蛋白质、多糖甚至是细胞)的检测。DNA功能化纳米生物传感器是利用核酸碱基配对原则进行识别,能实现特定基因片段的持续、快速、灵敏和选择性检测。本文结合最近十年的研究现状,主要论述了DNA功能化纳米金用于比色检测法的原理及用于核酸、蛋白质和部分生物小分子的检测,并评述了其中的挑战和前景。     

Comparison of Immobilization Modes in pH-Sensitive Phase Separation Immunoassay

Three immobilization modes of antigen to the polymers in the pH‐sensitive phase separation immunoassay were investigated and compared. The results showed that the immobilization mode in the presence of N‐ethyl‐N′‐(3‐dimethylaminopropyl)carbodiimide hydrochloride (EDCI) rendered the most desirable results. The immobilization efficiencies and immunological reaction activities of immobilized antigen of this mode were improved over the other two modes. The novel immobilization mode by EDCI was used in the pH‐sensitive phase separation immunoassay for rabbit IgG (Ag). In the competitive immunoassay, immobilized Ag and the standard Ag (or sample) competed for binding to a horseradish peroxidase labeled antibody at 37°C in a homogeneous format. After changing the pH to separate the polymer‐immune complex, the complex precipitate was re‐dissolved and determined by coupling with the color reaction of hydrogen peroxide and o‐phenylenediamine. The linear range of this determination was between 100–1400 ng/mL. Compared to the traditional enzyme‐linked immunosorbent assays (ELISA) using the same reactants, the proposed method was quiet fast (the time decreased from 100?120 to 30 min) and showed similar sensitivity, i.e., 6.0 ng/mL.     

Modeling of pedestrian evacuation based on the particle swarm optimization algorithm

By applying the evolutionary algorithm of Particle Swarm Optimization (PSO), we have developed a new pedestrian evacuation model. In the new model, we first introduce the local pedestrian’s density concept which is defined as the number of pedestrians distributed in a certain area divided by the area. Both the maximum velocity and the size of a particle (pedestrian) are supposed to be functions of the local density. An attempt to account for the impact consequence between pedestrians is also made by introducing a threshold of injury into the model. The updating rule of the model possesses heterogeneous spatial and temporal characteristics. Numerical examples demonstrate that the model is capable of simulating the typical features of evacuation captured by CA (Cellular Automata) based models. As contrast to CA-based simulations, in which the velocity (via step size) of a pedestrian in each time step is a constant value and limited in several directions, the new model is more flexible in describing pedestrians’ velocities since they are not limited in discrete values and directions according to the new updating rule.     

真空高功率微波介质窗表面击穿破坏现象的研究进展

综述了国内外真空中高功率微波(HPM)下介质窗表面击穿问题的研究现状和进展。在介质窗表面击穿实验研究方面,介绍了国外最具代表性的研究成果,给出了介质窗材料表面及内部的破坏发展规律,并提出相应的理论模型。在理论仿真方面,重点介绍了国外在运用蒙特卡罗(Monte Carlo)程序和PIC模型对认识HPM下介质窗表面倍增放电机理上做出的突出贡献,给出了HPM下介质窗表面电子在不同影响因素下的运行状态,并提出了一个理论模型,从本质上解释了倍增电子数目和表面静电场以微波频率的2倍振荡的原因。介绍了目前几种可有效抑制介质窗表面微波击穿的技术手段。