IPTV流媒体业务的RPR承载网解决方案

IPTV业务的开展可以为运营商带来潜在的丰厚利润，IPTV业务的成功需要整体解决方案的支持，本文就如何建设一个高效、可靠、全面的IPTV业务承载专网作了阐述。     

泡沫酸化工艺对川中低压裂缝性油藏适应性的认识

针对川中油田经过多年的消耗式开采,各主产油田压力很低,增产改造的难度增大的发展现状,提出应用泡沫酸化工艺技术在川中低压油层增产改造的技术方案,其中分析了泡沫酸的物理特性、其在地层优良的渗流特性(滤失小、酸岩反应速度慢、返排迅速等优点),并进行了泡沫酸液体系的室内配方研究,提出了工艺设施的矿场配套研究内容.得出了泡沫酸化工艺对川中低压裂缝性油藏改造具有很强的适应性,具有推广应用的价值.     

BOPP薄膜生产中的功能母料

简述了BOPP薄膜生产过程中所需要的抗静电母料、防粘连母料和爽滑母料等功能母料，并分析了它们的作用、机理以及在生产中的应用特点。     

不含4圈的最大简单图边数的下界

证明了具有不小于6个顶点的不包含4圈的简单图的最大可能边数的下界是2n-5。     

智能化空调设计负荷计算软件的开发

为了解决目前已有空调负荷计算软件使用效率低，不符合设计人员思维习惯的弊病，本文将基于神经网络的专家系统技术与空调负荷“指标估算法”结合起来，开发了一套智能化空调负荷计算软件，对空调设计负荷计算的智能化进行了有益的尝试。该软件计算结果准确，特别适合于经验不足的设计人员使用。     

Preparation of heterotactic-rich poly(methyl methacrylate) with narrow molecular weight distribution bytert-butyllithium/bis(2,6-di-tert-butylphenoxy)methylaluminum

Summary Polymerization of methyl methacrylate (MMA) withtert-butyllithium (t-C₄H₉Li) in toluene in the presence of aluminum alkoxides such as ethoxide,tert-butoxide and 2,6-di-tert-butylphenoxide, were examined at various Al/Li ratios. In the cases of ethoxide andtert-butoxide, predominantly isotactic polymers with broad molecular weight distribution were obtained. Combinations oft-C₄H₉Li and bis(2,6-ditert-butylphenoxy)methylaluminum [MeAl(ODBP)₂] were found to be an efficient initiating system for heterotactic polymerization of MMA, which gives PMMA rich in heterotactic triads up to 68% with narrow molecular weight distribution (Mw/Mn=1.09–1.17). End group analysis by¹H NMR indicated thatt-C₄H₉Li initiates the polymerization and MeAl(ODBP)₂ works as a stereospecific modifier. From stereosequence analysis of the heterotactic PMMA by¹³C NMR, it was found that the calculated pentad fractions from the first-order Markovian statistics (Pm/r=0.742, Pr/m=0.627) fitted the observed ones better than those from Bernoullian statistics. The glass transition temperature of the heterotactic PMMA was 13°C lower than that of syndiotactic PMMA, and the intrinsic viscosity in tetrahydrofuran was close to that of isotactic PMMA with a similar molecular weight but higher than that of syndiotactic PMMA.     

Scalable influence maximization for independent cascade model in large-scale social networks

Influence maximization, defined by Kempe et al. (SIGKDD 2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influence under certain influence cascade models. The scalability of influence maximization is a key factor for enabling prevalent viral marketing in large-scale online social networks. Prior solutions, such as the greedy algorithm of Kempe et al. (SIGKDD 2003) and its improvements are slow and not scalable, while other heuristic algorithms do not provide consistently good performance on influence spreads. In this article, we design a new heuristic algorithm that is easily scalable to millions of nodes and edges in our experiments. Our algorithm has a simple tunable parameter for users to control the balance between the running time and the influence spread of the algorithm. Our results from extensive simulations on several real-world and synthetic networks demonstrate that our algorithm is currently the best scalable solution to the influence maximization problem: (a) our algorithm scales beyond million-sized graphs where the greedy algorithm becomes infeasible, and (b) in all size ranges, our algorithm performs consistently well in influence spread—it is always among the best algorithms, and in most cases it significantly outperforms all other scalable heuristics to as much as 100–260% increase in influence spread.