绿色化学研究进展

对绿色化学在新型催化剂和反应介质方面的研究进展进行了综述。新型催化剂主要包括固体酸催化剂、固体碱催化剂、金属催化剂等。这些催化剂不仅具有较高的活性和选择性,而且催化剂和反应体系易于分离。新型反应介质主要包括超临界流体和离子液体,它不仅可以替代传统的有毒有害的挥发性有机溶剂,同时可以提高反应的活性和选择性,并且易于回收利用。高效催化剂和绿色反应介质的研究开发是未来绿色化学的重要研究内容。     

氯丁橡胶在向高性能发展

市场需求特别是汽车工业的需求对氮丁橡胶(CR)的性能提出了更高的要求。固外CR制造商通过改进聚合工艺,已开发出在耐热性、耐寒性及抗疲劳性方面有突出改进的新品级、新牌号;传统的黄原二硫化物衍生物调节型CR的性能得到了全面提高,出现了CR同特种橡胶结合的新动向;粘接型CR的性能更加完善。羧基化CR的缺点得到克服,一种便于使用的接枝型CR已经问世。国内CR生产厂应重视科技投入,加紧研究、开发高性能CR,特别要突破传统的聚合工艺,开发分子链线形程度高的CR。     

A stochastic Kaczmarz algorithm for network tomography

We develop a stochastic approximation version of the classical Kaczmarz algorithm that is incremental in nature and takes as input noisy real time data. Our analysis shows that with probability one it mimics the behavior of the original scheme: starting from the same initial point, our algorithm and the corresponding deterministic Kaczmarz algorithm converge to precisely the same point. The motivation for this work comes from network tomography where network parameters are to be estimated based upon end-to-end measurements. Numerical examples via Matlab based simulations demonstrate the efficacy of the algorithm.     

动态硫化技术及其发展

结合动态硫化技术的发展史,重点评述了国外80年代该技术的发展及其特点,揭示了TPV性能及特征与制备条件的关系;简介我国开发研究TPV的概况,并提出了看法。     

利用电阻探针对石油设备及管道的腐蚀进行监测

从1998年起，国内石油炼制行业开始大量炼制进口高硫原油，油气管道的腐蚀问题受到了重视。介绍了电阻探针腐蚀监测系统的原理及组成。并针对油气管道，实施了在线监测，安装了6组腐蚀电阻探针，分析了测量结果，为今后防腐工作提供了依据。     

Online learning and fusion of orientation appearance models for robust rigid object tracking

We introduce a robust framework for learning and fusing of orientation appearance models based on both texture and depth information for rigid object tracking. Our framework fuses data obtained from a standard visual camera and dense depth maps obtained by low-cost consumer depth cameras such as the Kinect. To combine these two completely different modalities, we propose to use features that do not depend on the data representation: angles. More specifically, our framework combines image gradient orientations as extracted from intensity images with the directions of surface normals computed from dense depth fields. We propose to capture the correlations between the obtained orientation appearance models using a fusion approach motivated by the original Active Appearance Models (AAMs). To incorporate these features in a learning framework, we use a robust kernel based on the Euler representation of angles which does not require off-line training, and can be efficiently implemented online. The robustness of learning from orientation appearance models is presented both theoretically and experimentally in this work. This kernel enables us to cope with gross measurement errors, missing data as well as other typical problems such as illumination changes and occlusions. By combining the proposed models with a particle filter, the proposed framework was used for performing 2D plus 3D rigid object tracking, achieving robust performance in very difficult tracking scenarios including extreme pose variations.     

Aqueous heterophase polymerization of styrene—a study by means of multi-angle laser light scattering

An online multi-angle laser light scattering study of ab initio surfactant-free styrene emulsion polymerization reveals unexpected results regarding the development of the dispersity during the whole reaction starting from mixing styrene and water at reaction temperature. The experimentally observed change in the dispersity, which is an indirect measure of the average characteristic size of the colloidal objects, allows the identification of three characteristic intervals. During interval A the equilibration of styrene in water is characterized by the formation of styrene domains, which increase in number and size until an equilibrium state is reached. This means that there is virtually no homogeneous/molecular styrene in water solution but rather nanodroplets of about 200 nm in diameter (assuming spherical shape) are formed. During interval B, after initiation of the polymerization and particle formation, the dispersity increases again as the average size decreases and the number of scattering objects increases. The polymer particles suck up the monomer from the monomer nanodroplets, which leads to the disappearance of the nanodroplets and to a decrease in the average size. During interval C the average size increases again due to the predominantly growth of the polystyrene particles.     

掺粉煤灰的橡塑复合材料研究和开发

概述了粉煤灰再利用的必要性及掺有粉煤灰的橡塑复合材料的应用研究和开发概况，介绍了国内橡塑粉煤灰复合材料的研究及开发进展，综述了橡塑粉煤灰复合材料的应用。     

Research on the measure method of complaint theme influence on online social network

Consumer complaints on online social network quickly become online groups complaints through many people’s aggregation and looking on, interaction and word-of-mouth communication. Therefore, assessing and managing online complain influence has become a new problem for enterprise to listen to and manage online group complaints. This paper analyzed the complaint information feature of consumer group on online social network, from three-dimensional perspective of complaint text’s quality, transmission timeliness and user interaction degree. We built the influence measure model of online complaint theme based on entropy weight model by monitoring and analyzing real-time the static and dynamic properties of complaint information, explored the measure method of complaint theme influence, employed empirical method to verify the validity and provided scientific decision-making tools and methods for enterprise listening to and managing online group complains.