A Note on Topological Entropy of Maps

For a given collection of subsets of a compact metric space X which cover X,the entropies,hm(f)and hi(f),are introduced for a continuous map f of X to itseif. Also the concept of shadowing property with same end point (SPSEP for short) is introduced. The main results are,(1)H(f)≤hi(f)+hm(f)and,(2)h(f)=hm(f)whenever f has SPSEP,where h(f) is the topological entropy of f. Moreover,several corollaries are obtained.     

Matrix Rings with Summand Intersection Property

A ring R has right SIP (SSP) if the intersection (sum) of two direct summands of R is also a direct summand. We show that the right SIP (SSP) is the Morita invariant property. We also prove that the trivial extension of R by M has SIP if and only if R has SIP and (1 – e)Me = 0 for every idempotent e in R. Moreover, we give necessary and sufficient conditions for the generalized upper triangular matrix rings to have SIP.     

Establishing structure-property correlations and classification of base oils using statistical techniques and artificial neural networks

The present paper describes various classification techniques like cluster analysis, principal component (PC)/factor analysis to classify different types of base stocks. The API classification of base oils (Group I-III) has been compared to a more detailed NMR derived chemical compositional and molecular structural parameters based classification in order to point out the similarities of the base oils in the same group and the differences between the oils placed in different groups. The detailed compositional parameters have been generated using and nuclear magnetic resonance (NMR) spectroscopic methods. Further, oxidation stability, measured in terms of rotating bomb oxidation test (RBOT) life, of non-conventional base stocks and their blends with conventional base stocks, has been quantitatively correlated with their NMR and elemental (sulphur and nitrogen) data with the help of multiple linear regression (MLR) and artificial neural networks (ANN) techniques. The MLR based model developed using NMR and elemental data showed a high correlation between the ‘measured’ and ‘estimated’ RBOT values for both training (R=0.859) and validation (R=0.880) data sets. The ANN based model, developed using fewer number of input variables (only NMR data) also showed high correlation between the ‘measured’ and ‘estimated’ RBOT values for training (R=0.881), validation (R=0.860) and test (R=0.955) data sets.     

应用反向传播神经网络预测化合物脑血分配系数

选用27种三维结构性质描述符对脑血分配系数预测建立神经网络模型.网络模型选用典型的适合函数逼近的两层结构神经网络对脑血分配系数(lgBB,BB为脑血浓度比)进行预测,计算中采用的模型具有一个双曲正切型激活函数的隐含层和一个线性激活函数的输出层.计算表明,使用小心选择的反向传播神经网络模型对化合物脑血分配系数具有较好的预测能力.     

合成高分子膜透气速率的温度依赖性

近年来以气体选择性分离为目的的合成高分子膜的研究取得了巨大的进步。气体分离膜的两个基本性能参数是透气速率J及选择系数α。同一个膜,在较高温度使用时,往往是J值增大,α值下降,因此选择适当地操作温度,以便得到最佳的J-α搭配是很重要的。本文讨论了甲基硅橡胶(MSR)、天然橡胶(NR)、乙丙橡胶(EPR)、聚乙烯(PE)、聚(4-甲基戊烯-1)(TPX)等材料的均质膜或复合膜,在不同温度下的氧、氮透过速率,计算了各种膜材料的氧、氮表观透过活化能,并对其本质进行了探讨。     

Crystal Structure,Electrochemical Properties and Third-order Nonlinear Optical Response of 4-Methyloxy benzaldehyde Thiosemicarbazone and Its Copper(Ⅱ)Complex

Thecurrentsurgeofinterestinthefield0fnon-linearoptics(NL0)isderivedbothfromaquestforafundamentalunderstanding0fthenon-linearprocess,anditSimPortanceinthetechn0logyofphotonics.Amongnon-linearphen0mena,thethird-ordernon-linearophcsoccuPyanimPortantp0sihonbecauseitprovidesthemechanicsforophcalswitching,ophcallogic,andreal-hmeholograPhy"'.0rganicmaterialwithextendednconjugahonsandlargeRdelocalizahonsarewellknownastheimPortantmaterialsofachievinglargethird-ordernonlinearihes3.ForexamPle,thiosen…     

微量稀土对超导稳定化基体铜材的性能和组织的影响

研究了微量稀土元素对铜的机械性能、导电性和组织的影响，在铜中加入微量钇、钕、镝、铒和富铈混合稀土后，使铜的抗拉强度有所提高，并保持良好的塑性和导电性。     

新型环合靛蓝衍生物的合成及性质

设计合成了基于环合靛蓝单元的Donor-Acceptor(D-A)型小分子——2,2'-(-(((2,9-双(5-(2-癸基十四烷基)噻吩-2-基)-6,13-二氧代-6,13-二氢二吲哚[3,2,1de:3',2',1'-ij][1,5]萘啶-7,14-二基)双(噻吩-5,2-二基))双(甲基叉))双(3-氧-2,3-二氢-1H-茚-2,1-二叉))二丙二腈(MT-BAI-TM).采用密度泛函(DFT)理论计算了该化合物的前线分子轨道分布.利用紫外-可见吸收光谱和循环伏安法分析了化合物的能级和带隙特征;通过掠入射宽角X射线散射实验(GIWAXS)测试了旋涂薄膜样品S-1内MT-BAI-TM分子的堆积取向.MT-BAT-TM的深吸收、高电子亲和势及面向上(Face-on)堆积特征表明,其具有受体型有机半导体材料的性质.     

低共熔溶剂：一种应用在混合物分离过程中的绿色溶剂

低共熔溶剂(DESs)因具有合成容易、价格低廉、环境友好、挥发性低、溶解能力强、可生物降解、结构可设计等特点,被认为是一种绿色溶剂。近年来,研究者通过深入研究低共熔溶剂的性质,结合低共熔溶剂的特点,将其替代传统的有机溶剂,在混合物分离过程中开展了大量的研究工作,包括：酸性气体(如CO₂、CO₂和H₂S)吸收、生物活性物质萃取、燃料油品中含硫和含氮化合物的脱除、油酚混合物分离、芳烃和脂肪烃混合物的分离、醇水混合物分离、生物柴油合成过程中甘油的脱除等。本文分析了低共熔溶剂的结构、性质和特点,综述了低共熔溶剂在分离领域的最新研究成果,探讨了低共熔溶剂在混合物分离应用中存在的问题,展望了低共熔溶剂的发展趋势。     

超临界水的性质及其在化学反应中的应用

介绍了水的热物理性质、结构性质、离子积、扩散系数和粘度等在超临界区域的特殊性，以及超临界水溶液在介电常数、偏摩尔体积、溶解性和极性等方面的特殊性质，并阐述了超临界水的这种特殊性在化学反应和环境治理中的应用。