Degradation of ultrahigh concentration pollutant by Fe/Cu bimetallic system at high operating temperature

To investigate the degradation of high concentration pollutant by Fe/Cu bimetallic system at a high operating temperature, 10,000mg/L acid orange 7 (AO7) aqueous solution was treated by Fe/Cu bimetallic system at 80 oC. First, the effect of the operating temperature (30-80 °C) on the reactivity of Fe/Cu bimetallic particles was investigated thoroughly. Then, the studies on the effect of theoretical Cu mass loading, Fe/Cu dosage, stirring speed and initial pH on the reactivity of Fe/Cu bimetallic particles at a high temperature (i.e., 80 °C) were carried out, respectively. The degradation and transformation process of AO7 was studied by using COD, TOC and UV-Vis spectra. The results indicate that high concentration pollutant could be removed effectively by Fe/Cu bimetallic system at a high operating temperature. And the removal efficiencies of AO7 by Fe/Cu bimetallic system were in accordance with the pseudofirst- order model. Finally, it was observed that the high temperature could accelerate mass transport rate and overcome the high activation energy barrier to significantly improve the reactivity of Fe/Cu bimetallic particles. Therefore, the higher removal efficiency could be obtained by Fe/Cu system at a high operating temperature. Thus, the high operating temperature played a leading role in the degradation of high concentration pollutant.     

Effect of Binder Content on the Erosive Wear of Ti(C,N)‐Based Cermet in SiO2 Particle‐Containing Simulated Seawater

Erosion of Ti(C,N)‐10 wt% Mo₂C‐15 wt% Ni/Co cermet of different Ni/Co in artificial seawater containing 5 wt% SiO₂ was investigated. Pure Ni‐bonded cermet exhibited the largest wear rate of 35.7*10^?3 mm³/h, which decreased to 17.7*10^?3 mm³/h with the substitution of 30% Ni by Co. Further decrease of Ni/Co ratio resulted in the improvement of erosion resistance. Pure Co binder resulted in the increase hardness from 92.0 to 92.5 HRA and transverse rupture strength from 1510 to 1650 MPa. The erosion resistance was slightly worse due to an increasing hardness and brittleness of the binder phases, but the hard phases still kept the as‐prepared morphology.     

The improvement of electro‐optical properties of polymer‐dispersed liquid crystals with graft copolymer matrix synthesized by reversible addition–fragmentation chain transfer and atom transfer radical polymerization

Aiming to decrease the memory effect of polymer‐dispersed liquid crystals (PDLCs), a type of graft macroinitiator, synthesized by reversible addition–fragmentation chain transfer and atom transfer radical polymerization, was employed to prepare PDLCs with graft copolymer matrix in our previous work. Compared with linear copolymer matrix PDLCs prepared using a linear macroinitiator, it was found that, although low‐memory‐effect PDLCs were obtained, the driving voltage and transmittance of the PDLCs were unfortunately sacrificed to some extent. Thus, it is necessary to improve the electro‐optical properties of PDLCs on the basis of the original research performed by us. In the work reported in this article, a kind of linear macroinitiator with high refractive index and another graft macroinitiator with flexible branched chains were employed to prepare PDLCs. The results showed that by using mixed macroinitiators, the electro‐optical properties of PDLCs could be improved, and a possible mechanism is proposed.     

透析计算:面向OLGP的InfoNetCube高效物化

信息网络数据立方（InfoNetCube）的计算是进行信息网络在线分析处理的基础.然而，不同于传统的数据立方，信息网络数据立方由多个子方体格组成，每个方体格中的任意方体（cuboid）的任意单元格都包含一个主题图（或称图度量），因而空间开销较传统数据立方大2个数量级以上.如何快速、高效进行信息网络数据立方的部分物化是极具挑战的研究课题.本文提出基于“透析计算”思想的信息网络立方物化策略，通过主题图度量在信息维和拓扑维上反单调性运用，提出基于“透析计算”的空间剪枝算法，快速透析掉不可能命中的子图度量、方体单元、方体乃至方体格.实验结果表明，本文提出的基于“透析计算”的部分物化策略，可以对信息网络方体进行有效剪枝，算法较基于基本方体的部分物化策略运行时间平均降低75%.     

动态信息网络中基于角色的结构演化与预测

动态信息网络是当前复杂网络领域一个极具挑战的新问题，其动态的演化过程具有时序、复杂、多变的特点.结构是网络最基本的特征，也是进行网络建模和分析的基础，研究网络结构的演化过程对全面认识复杂系统的行为倾向具有重要意义.使用“角色”来量化动态网络的结构，得到动态网络的角色模型，应用并改进多类标分类问题的“问题转换”思想，将动态网络的角色预测问题视为多目标回归问题，以历史网络数据作为训练数据构建模型，预测未来时刻网络可能的角色分布情况，提出基于多目标回归思想的动态网络角色预测方法MTR-RP.该方法不仅克服了基于转移矩阵方法忽略时间因素的不足，并且考虑了多个预测目标之间可能存在的依赖关系，实验结果表明，本文提出的MTR-RP方法具有更准确且更稳定的预测效果.