从煤炭、天然气制取石油石化产品工艺技术

在阐述煤炭、天然气通过吹氧气化制取CO +H2 合成气联产石油石化产品的基础上 ,详细介绍了甲醇、二甲醚、乙烯生产工艺技术的应用与开发 ,对各种工艺路线进行了论证和技术经济评估     

Langmuir吸附方程的应用

本文总结了Langmuir方程在吸附分离过程中的应用。利用Langmuir方程得到直观表达混合气组分气体间吸附强弱关系及分离的难易程度的x-y图，推导了Lewis关系式。     

TPR处理剂的研究

利用活性单体苯乙烯与氯丁橡胶、高苯乙烯热塑弹性体接枝聚合，所得产物稀释后用于ＴＰＲ（ＴｈｅｒｍａｌＰｌａｓｔｉｃＲｕｂｂｅｒ）粘接前的预处理，可明显提高剥离强度。     

Use of laser scanning confocal microscopy for characterizing changes in film thickness and local surface morphology of UV-exposed polymer coatings

Laser scanning confocal microscopy (LSCM) has been used to characterize the changes in film thickness and local surface morphology of polymer coatings during the UV degradation process. With the noninvasive feature of LSCM, one can obtain thickness information directly and nondestructively at various exposure times without destroying the specimens or deriving the thickness values from IR measurement by assuming uniform film ablation. Two acrylic polymer coatings were chosen for the study, and the physical and chemical changes of the two systems at various exposure times were measured and analyzed. Those measurable physical changes caused by UV exposure include film ablation, formation of pits and other surface defects, and increases in surface roughness. It was found in both coatings that changes in measured film thickness by LSCM were not correlated linearly to the predicted thickness loss using the changes in the CH band obtained by the Fourier Transform Infrared (FTIR) spectroscopy measurements in the later degradation stages. This result suggested it was not a uniform film ablation process during the UV degradation. At later stages, where surface deformation became severe, surface roughness and profile information using LSCM were also proven to be useful for analyzing the surface degradation process Presented at the 81st Annual Meeting of the Federation of Societies for Coatings Technology, November 13–14, 2004 in Philadelphia, PA.     

Solubility of Si3N4 in Liquid SiO2

The nitrogen solubility in the SiO₂-rich liquid in the metastable binary SiO₂-Si₃N₄ system has been determined by analytical TEM to be 1%–4% of N/(O + N) at 1973–2223 K. Analysis of the near edge structure of the electron energy loss peak indicates that nitrogen is incorporated into the silicate network rather than being present as molecular N₂. A regular solution model with a positive enthalpy of mixing for the liquid was used to match the data for the metastable solubility of N in the presence of crystalline Si₃N₄ and to adjust the computed phase diagram. The solubility of Si₃N₄ in fused SiO₂ is far less than reported in liquid silicates also containing Al, Mg, and/or Y. Apparently, these cations act as modifiers that break anion bridges in the silicate network and, thereby, allow further incorporation of Si₃N₄ without prohibitive amounts of network cross-linking. Finally, indications emerged regarding the diffuse nature of the Si₃N₄-SiO₂ interface that leads to amorphous regions of higher N content.     

VARI工艺在建筑物加固修复上的应用

本文叙述了VAR I工艺特点及其用于建筑物加固修复的重要性、优越性和应用前景。自制了一套简易实验装置,归纳并阐述了建筑物加固修复用VAR I技术的主要内容。针对国内的情况,提出了该领域亟待开展的研究工作。     

阻燃性软质聚氨酯泡沫塑料的研制

以自制的聚醚多元醇为原料，加入经粉碎并表面处理的三聚氰胺和阻燃剂Ｔ２０１制得阻燃性软质聚氨酯泡沫塑料。系统地考察了配方中的两种阻燃剂用量，特种聚醚多元醇和泡沫密度对泡沫塑料阻燃性和物理性能的影响。     

UV涂料在户外的应用

本文简述了辐射固化技术的发展历史，回顾了我国辐射固化涂料的发展状况，介绍了户外用UV涂料的特点、制备及国外最新进展。     

Optimizing ranking method using social annotations based on language model

Recent research has shown that more and more web users utilize social annotations to manage and organize their interested resources. Therefore, with the growing popularity of social annotations, it is becoming more and more important to utilize such social annotations to achieve effective web search. However, using a statistical model, there are no previous studies that examine the relationships between queries and social annotations. Motivated by this observation, we use social annotations to re-rank search results. We intend to optimize retrieval ranking method by using the ranking strategy of integrating the query-annotation similarity into query-document similarity. Specifically, we calculate the query-annotation similarity by using a statistical language model, which in a shorter form we call simply a language model. Then the initial search results are re-ranked according to the computational weighted score of the query-document similarity score and the query-annotation similarity score. Experimental results show that the proposed method can improve the NDCG score by 8.13%. We further conduct an empirical evaluation of the method by using a query set including about 300 popular social annotations and constructed phrases. More generally, the optimized results with social annotations based on a language model can be of significant benefit to web search.     

Increasing recommended effectiveness with markov chains and purchase intervals

Recommendation system is an important component of many websites and has brought huge economic benefits and challenges for online shoppers and e-commerce companies. Existing recommendation systems focus on producing a list of products which users may be interested to purchase, while overlooking the purchase chain and temporal diversity which may increase the likelihood of a purchase decision. In this paper, we propose to utilize the Markov chain to track the chain of users’ purchase behaviors and utilize the purchase intervals to improve the temporal diversity for e-commerce recommender. We design and implement several algorithms and integrate these into our recommendation model. We evaluate our system on a real-world e-commerce dataset. Experimental results demonstrate that our approach significantly improves the accuracy, conversion rate and temporal diversity compared to the state-of-the-art algorithms.