三参数Weibull分布下随机截尾恒加寿命试验的Bayes统计分析

利用随机截尾恒加寿命试验所获的数据，导出了三参数Ｗｅｉｂｕｌ分布在平方损失下，三个参数的Ｂａｙｅｓ估计，进一步估计了在正常应力水平下的各种可靠性指标     

A Series Dissertation on Tianwan Nuclear Power Station —Technical Characteristics

1The Material for the Casing of theFuel Assembly and its Structure Madeof Zirconium AlloyWith provision for stability of the materialsagainst corrosive,electrochemical,heat,mechanical and radiation effects,the followingstructure materials are usedinthe structure of fuelassembly,control and protectionsystem,burnableabsorber rod:Stainless steel of type08X18H10T,zirconium alloy Zr 1%Nb,chromium-nickelalloys XHTUP and42XHM.Steel08X18H10Tisdistinguished by stability of mechanicalcharacter…     

一类单边截断型分布族参数的经验Bayes检验

讨论一类单边截断型分布族位置参数的经验Ｂａｙｅｓ检验问题，文中构造了经验Ｂａｙｅｓ判决函数，证明了它具有渐近最优的性质，并且获得了收敛速度。     

刚性转子动不平衡量的在线识别法

讨论了刚性转子动不平衡量在线识别的基本原理，提出用影响系数矩阵法进行不平衡量的解算，用加试重法求取影响系数矩阵的元素，并用模拟实验验证了识别方法的准确性。最后讨论了在线识别的软硬件方案。     

Stability analysis of impulsive stochastic Cohen-Grossberg neural networks with mixed time delays

In this paper, the problem of stability analysis for a class of impulsive stochastic Cohen-Grossberg neural networks with mixed delays is considered. The mixed time delays comprise both the time-varying and infinite distributed delays. By employing a combination of the M-matrix theory and stochastic analysis technique, a sufficient condition is obtained to ensure the existence, uniqueness, and exponential p-stability of the equilibrium point for the addressed impulsive stochastic Cohen-Grossberg neural network with mixed delays. The proposed method, which does not make use of the Lyapunov functional, is shown to be simple yet effective for analyzing the stability of impulsive or stochastic neural networks with variable and/or distributed delays. We then extend our main results to the case where the parameters contain interval uncertainties. Moreover, the exponential convergence rate index is estimated, which depends on the system parameters. An example is given to show the effectiveness of the obtained results.     

ICP-OES法测定镍铬合金中Si，Mn，Fe，Ti，Al，Cu多种元素

建立了电感耦合等离子体发射光谱法测定镍铬合金中Si,Mn,Fe,Ti,Al,Cu元素含量的分析方法。确定了溶样方法和分析谱线,采用基体匹配消除干扰。对方法精密度和准确度进行实验,实验结果表明,各元素的相对标准偏差均小于3%,加标回收率在86.8%～106.9%,镍铬合金标准物质的各元素测定结果均与标准值一致。所建立的方法快速、准确,适用于镍铬合金中多元素同时测定。     

基于评价信息随机化的群体评价方法与应用

针对群体评价中共识集结的相关问题,从仿真的视角讨论了评价信息随机化的群体共识聚合求解方法。首先,面向实数类型的评价信息,将精确性的数据给予一定的宽松性处理,进一步结合正态分布的3σ原则,利用随机模拟的方式集结出带有概率特征的可能性排序;其次,面向区间数类型的评价信息,整合出各子区间发生概率不同的区间数评价信息,在充分随机模拟的情况下,给出了带有优胜概率特征的可能性排序。最后,通过相应的算例进行求解分析,说明了该方法的可行性和有效性。基于群体共识视角,针对实数和区间数两种类型的评价信息,分别进行相应的随机化处理,并为进一步探索区间数的分布形式提供了一种新的研究思路。     

超氧化物歧化酶活性的测定

主要采用光谱法研究测定超氧化物歧化酶(SOD)活性及不同实验条件对其活性的影响,找出最优的测活条件,为实际工作提供一些有意义的指导,并且为下一步的酶促反应动力学研究提供实验和理论依据.实验结果表明,测定SOD活性的最优条件为:实验温度为25℃,0.1mol.L-1 Tris-HCl缓冲溶液,pH值为8.20,内含2.0mmol.L-1 EDTA,邻苯三酚浓度为2.5mmol.L-1,控制酶的加入量为0.30mL.     

Combining the biased and unbiased sampling strategy into one convenient free energy calculation method

Constructing a free energy landscape for a large molecule is difficult. One has to use either a high temperature or a strong driving force to enhance the sampling on the free energy barriers. In this work, we propose a mixed method that combines these two kinds of acceleration strategies into one simulation. First, it applies an adaptive biasing potential to some replicas of the molecule. These replicas are particularly accelerated in a collective variable space. Second, it places some unbiased and exchangeable replicas at various temperature levels. These replicas generate unbiased sampling data in the canonical ensemble. To improve the sampling efficiency, biased replicas transfer their state variables to the unbiased replicas after equilibrium by Monte Carlo trial moves. In comparison to previous integrated methods, it is more convenient for users. It does not need an initial reference biasing potential to guide the sampling of the molecule. And it is also unnecessary to insert many replicas for the requirement of passing the free energy barriers. The free energy calculation is accomplished in a single stage. It samples the data as fast as a biased simulation and it processes the data as simple as an unbiased simulation. The method provides a minimalist approach to the construction of the free energy landscape. © 2019 Wiley Periodicals, Inc.     

Silicon nanotube array/gold electrode for direct electrochemistry of cytochrome c

The highly ordered Si nanotube (SiNT) arrays have been fabricated and demonstrated to be an attractive matrix to accommodate macromolecules, such as proteins, and exhibit facile direct electrochemistry of cytochrome c without any pretreatment. A pair of well-defined redox waves can be observed in the aqueous solution containing cytochrome c on this SiNT electrode using cyclic voltammetry. The peak separation (DeltaEp) between the anodic and the cathodic peaks is 63 mV at the sweep rate of 10 mV/s, and the peak current is proportional to the square root of the sweep rates, which indicates that the redox process is a quasi-reversible process. The experimental results show that the good biocompatibility and nanoscale hollow structure of the SiNT arrays can be applicable to preparing Si-based biosensors and protein characterizations.