Use of a hydrophobic associative four-armed star anionic polymer to create a saline aqueous solution of CO2-switchability

A four-armed anionic star-shaped block polymer, containing an anionic polymer poly(2-Acrylamido-2-methylpropanesulfonic acid) (PAMPS) as the core group and poly(2-(Dimethylamino)ethyl methacrylate) (PDM) as the terminal group, was synthesized by using the Atom Transfer Radical Polymerization (ATRP) method. The (PAMPS₅₀-PDM₅₀)₄ aqueous solution exhibited both polyelectrolyte and hydrophobic associative characteristics, that is, a low concentration of NaCl results in decreasing viscosity but a high concentration of NaCl results in increasing viscosity. The four-armed anionic block polymer shows a CO₂-reversible property at high concentrations of brine. Viscosity, pH, and ζ potential demonstrate the switchability jointly; the values could be switched from relatively low to high cyclically. These transitions could actually be attributed to the protonation of tertiary amine groups in PDM blocks, and the mechanism was proved by ¹H NMR.     

含二十二烷基聚氧乙烯醚甲基丙烯酸酯功能单体的缔合型乳液增稠剂的制备及表征

以甲基丙烯酸、丙烯酸乙酯、邻苯二甲酸二烯丙酯和不同量的功能单体二十二烷基聚氧乙烯醚甲基丙烯酸酯(BEM)为原料,采用半连续乳液聚合方法合成了疏水改性碱溶性缔合型增稠剂乳液.测定了增稠剂乳液的粘度、透光率、乳胶粒粒径及其分布等性能,考察了不同固含量下乳液粘度和透光率随pH的变化情况.结果表明随着BEM用量的增加,乳胶粒粒径逐渐增大.随着pH值的增加,乳液的粘度首先迅速升高,然后缓慢下降.与不含BEM的增稠剂乳液相比,当乳液固含量大于0.5%,BEM含量占单体量低于5.0wt%时,该缔合型增稠剂的增稠效果和抗剪切性有显著提高,BEM含量较高(8.0wt%或更高)时反而使增稠效果和抗剪切性变差.在此基础上研究了增稠剂对苯丙乳液的增稠效应,结果显示BEM含量占单体量的2.5wt%时,对苯丙乳液的增稠作用最好.与使用功能单体三苯乙基苯酚聚氧乙烯醚甲基丙烯酸酯改性的增稠剂相比,含BEM的增稠剂在BEM用量较少的情况下就能起到明显的增稠效果.     

广义a-结合BCI-代数

引入了广义ａ－结合ＢＣＩ－代数的概念，研究了ＢＣＩ－代数的ｐ－半单部分与广义ａ－结合部分的关系．并将ｐ－半单ＢＣＩ－代数的若干重要性质推广到广义ａ－结合ＢＣＩ－代数上．最后我们证明了每个广义ａ－结合ＢＣＩ－代数可确定一个交换偏序幺半群．本文结果表明文［１］的正则ＢＣＩ－代数与ｐ－半单ＢＣＩ－代数是一致的．     

铁电随机存储器的研究进展

铁电薄膜与半导体集成技术相结合而发展起来的铁电存储器．以其高密度、高速度、非易失性及抗辐射性而大大优于目前任何一种半导体存储器。该文介绍了铁电存储器的存储原理、特点、基本存储单元、研究进展、应用及存在的问题，并指出1T结构的铁电随机存储器(FRAM)将会成为下一代随机存储器。     

BCH-代数的原子与分支

在BCH—代数中引入了原子与分支的概念，给出了一个元素为BCH-代数原子的一系列等价条件，证明了一个BCH—代数的所有原子作成的集合是一个广义结合BCI—代数，最后对BCH—代数分支的性质进行了讨论。     

Winner-Takes-All Associative Memory: A Hamming Distance Vector Quantizer

We present a design methodology for mapping neuralyinspired algorithms for vector quantization, into VLSI hardware.We describe the building blocks used: memory cells, current conveyors,and translinear circuits. We use the basic building blocks todesign an associative processor for bit-pattern classification;a high-density memory based neuromorphic processor. Operatingin parallel, the single chip system determines the closest match,based on the Hamming distance, between an input bit pattern andmultiple stored bit templates; ties are broken arbitrarily. Energyefficient processing is achieved through a precision-on-demandarchitecture. Scalable storage and processing is achieved througha compact six transistor static RAM cell/ALU circuit. The singlechip system is programmable for template sets of up to 124 bitsper template and can store up to 116 templates (total storagecapacity of 14 Kbits). An additional 604 bits of auxiliary storageis used for pipelining and fault tolerance re-configuration capability.A fully functional 6.8 mm by 6.9 mmchip has been fabricated in a standard single–poly, double–metal2.0µmn–well CMOS process.     

GLOBAL EXPONENTIAL STABILITY IN HOPFIELD AND BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH TIME DELAYS

Without assuming the boundedness, strict monotonicity and differentiability of the activation functions, the authors utilize the Lyapunov functional method to analyze the global convergence of some delayed models. For the Hopfield neural network with time delays, a new sufficient condition ensuring the existence, uniqueness and global exponential stability of the equilibrium point is derived. This criterion concerning the signs of entries in the connection matrix imposes constraints on the feedback matrix independently of the delay parameters. From a new viewpoint, the bidirectional associative memory neural network with time delays is investigated and a new global exponential stability result is given.     

An improvement of the octonionic Taylor type theorem

We prove that the octonionic polynomials V ■k l 1 ··· l k are independent of the associative orders ■k . This improves the octonionic Taylor type theorem.     

Competition between associative and dissociative adsorption of 1,2-dihalogenated benzenes on Si(1 0 0)2 × 1: Formation of dihalocyclohexadiene, halophenyl and phenylene adstructures

The room temperature (RT) adsorption of 1,2-difluorobenzene (1,2-DFB), 1,2-dichlorobenzene (1,2-DCB) and 1,2-dibromobenzene (1,2-DBB) on Si(1 0 0)2 × 1 have been investigated by X-ray photoelectron spectroscopy (XPS) and temperature programmed desorption (TPD). Both XPS and TPD data show that the relative degree of dissociative to associative adsorption of the dihalogenated benzene (DXB) appears to increase with decreasing electronegativity of the halogen atom (X). In particular, the C 1s intensity ratios for the C-H and C-Si components to the C-X component are found to be 2, 3 and 9.6 for 1,2-DFB, 1,2-DCB and 1,2-DBB, respectively. These results indicate that 1,2-DFB, like benzene, exclusively adsorbs molecularly as a difluorocyclohexadiene adspecies on Si(1 0 0)2 × 1 while 1,2-DBB adsorbs predominantly with double debromination to form 1,2-phenylene. The majority of 1,2-DCB (75%) is found to adsorb molecularly, with the rest (25%) undergone single or double dechlorination to form chlorophenyl and phenylene, respectively. All three DXB molecules appear to have similar coverage as benzene. The two molecular desorption features for 1,2-DFB and 1,2-DCE are observed with desorption maxima at 460 K and 540 K similar to those found for benzene, which suggests that the dihalocyclohexadiene adstructures involve similar bonding through the benzene ring. In accord with the XPS data, no molecular desorption feature is observed for 1,2-DBB on the 2 × 1 surface. Further decomposition of the resulting phenylene adstructures is evident from the desorption fragment, C₂H₂, found at 610 K and 740 K. Recombinative desorption of HCl and HBr above 880 K are also found for 1,2-DCB and 1,2-DBB, respectively. The observed differences between associative and dissociative adsorption for the three DXB adsorbates could be attributed not only to the large difference in the C-X bond strength but also to the relative contributions from inductively withdrawing and resonantly donating electrons exerted by the halogen (X) atoms to the benzene ring.     

两维局域互联神经网络的关联存储

本文将局域互联神经网络的新概念推广到两维情形,并对两维局域互联关联存储进行了理论分析和大量的计算机模拟.结果表明,两维局域互联神经网络的优点是,在满足存储容量限制的前提下,它与全局互联神经网络具有相同的关联存储能力,而其互联权重矩阵要比全局互联网络小得多.因而,有利于使用现有的空间光调制器实现两维大规模的人工神经网络.