Know by a handful the whole sack: efficient sampling for top-k influential user identification in large graphs

Influence Maximization aims to find the top-K influential individuals to maximize the influence spread within a social network, which remains an important yet challenging problem. Most existing greedy algorithms mainly focus on computing the exact influence spread, leading to low computational efficiency and limiting their application to real-world social networks. While in this paper we show that through supervised sampling, we can efficiently estimate the influence spread at only negligible cost of precision, thus significantly reducing the execution time. Motivated by this, we propose ESMCE, a power-law exponent supervised Monte Carlo estimation method. In particular, ESMCE exploits the power-law exponent of the social network to guide the sampling, and employs multiple iterative steps to guarantee the estimation accuracy. Moreover, ESMCE shows excellent scalability and well suits large-scale social networks. Extensive experiments on six real-world social networks demonstrate that, compared with state-of-the-art greedy algorithms, ESMCE is able to achieve almost two orders of magnitude speedup in execution time with only negligible error (2.21 % on average) in influence spread.     

Thermooxidative degradation of natural rubber/clay composite

The clay is treated with a reducing agent and an acid so as to obtain a clay containing various metal components with a variable‐valence state. Then, the clay is coprecipitated with natural rubber (NR) latex to prepare a vulcanized NR/clay composite. The degradation process of the NR/clay composite under hot air condition was studied dynamically by using a Fourier transform infrared spectrometer attaching an in situ sample cell and was also investigated using the TGA method. The test result obtained from the infrared spectrometry indicated that under low decomposition temperature, the decomposition products of the test samples mainly are ethylene, low molecular olefinic hydrocarbon, and carbonyl compounds. As the decomposition temperature rises, the low molecular olefinic hydrocarbon content decreases, the olefine with longer chain is formed, and a lot of alkane decomposition products are formed at the same time. When the content of the metal components with a variable‐valence state in clay such as Cu, Mn, Co, and Fe increases, the oxidation products containing the carbonyl group, the olefinic hydrocarbon, and CO₂ in the decomposition product of the test sample also increase. The TGA result clearly shows a shoulder peak that appears by the side of the main peak on the DTG curve of NR/clay composite. With the increase in the content of metal components with variable‐valence state in clay, the initial degradation temperature of the test sample (T₀), the degradation peak temperature (T_p1), and the final degradation temperature (T_f1) in first‐stage reaction, as well as the degradation peak temperature (T_p2) and the last final degradation temperature (T_f) in second‐stage reaction of all the test samples more or less shift to the direction of low temperature; besides, the activation energy (E) of the reaction of the test samples more or less decreases. This means that the metal components with variable‐valence state promote the oxidative degradation of the clay–rubber masterbatch. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 100: 3809–3815, 2006     

Structural optimization of the cross-beam of a gantry machine tool based on grey relational analysis

Crossbeam structural design of gantry machine tool is a multi-level, multi-index and multi-scheme decision-making problem. In order to solve the above problem, the optimum seeking model of crossbeam structure was built through using the grey relational analysis and Analytic Hierarchy Process. The finite element analysis of the static and dynamic performance parameters for four kinds of crossbeam structural schemes designed had been done, and the optimal design scheme was selected by using the optimum seeking model. After conducting sensitivity analysis for the optimal crossbeam selected, the reasonable design variables were obtained, and the dynamic optimization design model of crossbeam was established. Six groups of non-inferior solutions were obtained after solving the optimization design model. The optimal solution was selected from the non-inferior solution set through using the crossbeam structural optimization method based on grey relational analysis again, which makes the crossbeam’s dynamic performance improving greatly. The dynamic experiments on the crossbeams before and after optimization design were conducted, then the experimental results show that the first four order natural frequencies of the crossbeam increase 17.56 %, 19.36 %, 17.04 % and 19.58 % respectively, which proves that the structural optimization design method based on grey relational analysis proposed in this paper is reasonable and practicable.     

[Zn(BDC)(H2O)2]n: a novel blue luminescent coordination polymer constructed from BDC-bridged 1-D chains via interchain hydrogen bonds (BDC = 1,4-benzenedicarboxylate)

A novel coordination polymer [Zn(BDC)(H₂O)₂]_n 1 (where BDC = 1,4-benzenedicarboxylate), has been synthesized and characterized by X-ray diffraction. 1 crystallizes in the monoclinic space group C2/c, a=15.09(2) Å, b=5.058(7) Å, c=12.196(16) Å, β=103.62(2)°, , Z=4. The most striking feature of 1 is that it consists of a high-dimensional network structure constructed from BDC-bridged 1-D chains via interchain hydrogen bonds. The coordination sphere of the zinc(II) ion is a distorted tetrahedron completed by four oxygen atoms from two water molecules and two BDC ligands. BDC adopts the bis-monodentated (syn–anti) coordination mode linking two adjacent zinc(II) ions. 1 shows strong blue photoluminescence as the result of the fluorescence from the intraligand emission excited state.     

包裹法国红色料在陶瓷领域应用的探索

探索包裹法国红色料在建筑陶瓷工业釉料、坯体中应用的工艺技术条件，采用正交实验方法找出包裹法国红色料在陶瓷釉料、外墙砖、地砖中的最佳发色条件：在釉料中一价的钾、钠离子特别利于该色料的发色；二价离子钡较好、钙次之、镁最差；法国红色料在普通熔块中发色不理想，在特制的熔块中发色良好。     

基于UML的职业技能竞赛管理平台建模研究

随着职业技能竞赛活动逐年增多,规模不断扩大,传统的管理方法不再适应竞赛主办单位、承办单位以及参赛单位的需求。在分析职业技能竞赛管理需求的基础上,完成了功能模块的设计,并运用基于面向对象的统一建模语言(UML),完成了职业技能竞赛管理平台设计的可视化表达。     

智能高频开关电源系统的使用与维护

1概述 供给变电站二次电路的电源称为操作电源。操作电源主要向控制、保护、信号、自动装置电路供电．同时还作为事故照明电源。     

氨纶氯水降解及耐氯机理的探讨

应用红外光谱分析方法，对氨纶（ＰＵ纤维）氯水降解及耐氯机理进行了初步的研究。结果表明，ＰＵ浸氯水后，因受活性氯原子的攻击，ＰＵ大分子软链段的碳－碳键发生断裂，形成碳－氯化合物，添加剂加入后，因与ＰＵ大分子的软链段形成螯合物，从而避免了活性氯原子的攻击，有效地保护了软链段，使氨纶耐氯性能明显改善。     

挤出复合取聚烯烃材料用粘合剂

研制一种适用于低温挤出复合聚烯烃材料用的粘合剂，即在变熔融指数树脂链上，接上异氰酸酯极性基团。其复合强度大于５Ｎ／１５ｍｍ，热合强度大于５０Ｎ／１５ｍｍ，且无毒、无异味、耐γ射线照射、工艺性能好。     

师范大学生抑郁情绪与心理社会影响因素研究

了解师范大学生抑郁状况及其与心理社会影响因素的关系。采用抑郁自评量表（SDS）、自我和谐量表、青少年生活事件量表、社会支持量表、应对方式量表对379名师范大学生进行测量,结果显示：师范大学生抑郁困扰捡出率较高;自我相关因素、自责、健康适应、退避等因子对减轻抑郁困扰起明显消极作用;而解决问题、客观支持等因素起明显积极作用。