Effects of the Water in Mixed Solvent on the Epoxidation Reaction of Propylene with TS-1 Catalyst

The epoxidation reaction of propylene and hydrogen peroxide with zeolite catalyst containing titanium-silicalite (TS-1)has been studied, and the reaction in the mixed solvent of water/methanol has been discussed. It is shown that the selective of epoxidation propylene decreases while the selective of propylene glycol increases, when the water content increases in the mixed solvent of me thanol/water.     

可重图的Randi指标的极值问题

图G的Randi指数,χ（G）,是分子图的一种拓扑指标,它的值可以反映分子的许多物理化学性质.在化学分子中双键是普遍存在的.为此,研究了恰有一条重边的可重图的Randi指标的极值问题,给出了树图及化学树图的Randi指标的极值及相应的结构.     

Determination of Spectra of Functions

Boundaries of convex and compact spectra of functions on plane are fully described without passing to the complexification and the Fourier transform.     

计算机病毒运行条件的分类研究

从程序语言的角度出发,应用一一映射的方法,建立起计算机病毒规范与运行条件的同构模型.在此基础上,提出了计算机病毒运行条件的基于共性的分类方法,并给出了其在病毒防范领域中的应用方法.该分类法的应用领域包括:软件开发人员的参考指南,计算机软件工程领域的研究素材,以及病毒测试人员或审计人员的"条件核查列表".     

马氏调制费率下复合Poisson风险模型的Lundberg型不等式

对于具有马氏调制费率的复合Poisson风险模型，用无穷小生成元构造鞅的方法，导出了破产概率的Lundberg不等式。     

Invariant and attracting set of fuzzy cellular neural networks with variable delays

The aim of this paper is to study the invariant and attracting set of fuzzy cellular neural networks with variable delays. Based on a delayed differential inequality and the properties fuzzy logic operation and M-matrix, the invariant and attracting set is obtained. Moreover, two examples are given to illustrate the effectiveness of our theoretical result.     

雷64区块砂砾岩储层岩性识别方法研究

在取心、岩石物理实验的基础上,采用统计方法对雷64区的岩性进行研究,将其分为砂质细砾岩和不等粒砂岩两大类.利用直方图法优选出识别这两大类岩性的敏感测井曲线,并且依据优选出来的敏感测井曲线,建立了用于识别砂质细砾岩和不等粒砂岩的测井响应交会图法、决策树模型、系统聚类模型.通过对上述三种模型进行精度分析,发现决策树模型的精度要高于测井响应交会图法和系统聚类模型.同时利用所建立的两种决策树模型对雷71井进行岩性识别,将识别结果与实际取心对比,发现综合判断准确率均大于85%.结果表明,给出的决策树模型可很好地用于该地区砂砾岩储层的岩性识别.     

Speciation of Arsenic in Drinking Water by Dispersive Liquid–Liquid Microextraction,Graphite Furnace Atomic Absorption Spectrometry,and Orthogonal Array Design

Orthogonal array design was used to optimize arsenic speciation in drinking water in contact with materials by dispersive liquid–liquid microextraction followed by graphite furnace atomic absorption spectrometry. Arsenic speciation was achieved by the formation of an arsenic(III) hydrophobic complex with a new chelating agent, 1,2,6-hexanetriol trithioglycolate, at neutral pH. The complex was extracted into the organic phase, while arsenic(V) remained in aqueous solution. The concentration of As(V) was determined by subtracting As(III) from the total arsenic following the reduction of As(V) to As(III) by L-cysteine. Orthogonal array design with OA₁₆ (44) and OA₉ (33) matrices was used to optimize the efficiency of dispersive liquid–liquid microextraction and the reduction of As(V) to As(III), respectively. Under the optimal conditions, the detection limit was 0.03?µg?L^?1 for As(III) and the relative standard deviation was 5.9% with an enhancement factor of 87. The calibration curve was linear from 0.19 to 3.0?µg?L^?1 with a correlation coefficient of 0.9996. The developed method was used for arsenic speciation in solutions of drinking water that contacted materials. The recoveries of fortified samples were in an acceptable range from 92.0 to 113.3%.