甲磺酸铜催化合成草酸二异戊酯

制备了甲磺酸铜催化剂,对其结构进行了IR和热重分析,并用于催化草酸和异戊醇的酯化反应。结果表明,甲磺酸铜具有催化活性高、稳定,易分离,重复使用性能优良,对环境友好的特点。最佳酯化工艺条件为:n(异戊醇):n(草酸)=2．8:1,w(甲磺酸铜)=0．3％,以过量的异戊醇为带水剂,回流反应2．0 h,酯化率可达到96．8％。     

P(DBF-VA)型柴油低温流动性改进剂的研制

针对新疆地产柴油蜡含量较高的特点,以游离基聚合法合成了富马酸双链混合酯和醋酸乙烯酯共聚物型[P(DBF-VA)]柴油低温流动改进剂,利用正交实验研究了单体配比,引发剂用量,溶剂用量,聚合温度对聚合物降冷滤效果的影响。共聚物用IR进行表征,利用XRD初步探讨了该降凝剂的降凝机理。结果表明:该剂能使吐哈—10~#、0~#柴油冷滤点降低10℃和7℃;使独山子0~#柴油冷滤点下降12℃;使石化0~#柴油冷滤点下降8℃;使克拉玛依0~#柴油的冷滤点下降8℃。     

溶剂脱沥青组合工艺生产重交通道路沥青

中国石化荆门分公司以江汉-阿曼混合原油和江汉-鲁宁混合原油为原料,分别采用减压蒸馏—丙烷脱沥青和减压蒸馏—添加催化裂化油浆—丙烷脱沥青工艺,生产出符合SH 0522—2000的100号道路沥青。结果表明,江汉-阿曼混合原油减压渣油中掺兑质量分数为30%的催化裂化油浆后,脱油沥青的各项性能均满足AH-70或AH-90重交通道路沥青的要求,而且薄膜烘箱试验表明,试样延度超过标准要求。     

焊膏印刷工艺参数的选择与优化

表面贴装工艺流程的关键工序之一就是焊膏印刷,其工艺控制的好坏直接影响着装配的线路板的质量。通过对印刷工艺参数的分析,利用试验设计的方法来找出关键工艺参数,并加以优化设定,从而为控制工序参数奠定基础。     

结合RDF实现对XML文档的RBAC

文章提出了一种面向XML文档的基于XMLschema并结合RDF的访问控制模型,它实现了对XML文档的细粒度的安全访问控制,同时提供了对XML文档中associationsecurityobject的安全访问控制。     

干涉型激光直写技术用于光盘防伪

利用作者研制的干涉型激光直写系统，阐述了干涉型激光直写设计OVD的方法，防伪特征，介绍了应用于光盘防伪的OVD技术和应用前景，给出了实验结果。     

磁场对石油污水管线钢的腐蚀行为研究

采用第3代永磁材料NdFeB(钕铁硼),研究了在施加永磁场条件下,模拟油田污水介质对20号钢的腐蚀过程,采用增重法、X射线衍射以及电化学方法对磁场作用下石油污水管线钢的腐蚀行为进行分析和评价。研究结果表明,磁场对Fe3O4的形成、自腐蚀电位正移幅度有促进作用,磁场对腐蚀产物的增重率影响较大,但它们与磁感应强度之间存在着极值关系。     

Lead-free piezoelectric ceramics with composition of (0.97−x)Na1/2Bi1/2TiO3-0.03NaNbO3-xBaTiO3

Compositions in (Na_1/2Bi_1/2)TiO₃ based ternary system, (0.97 – x) (Na_1/2Bi_1/2)TiO₃-0.03NaNbO₃-xBaTiO₃ (x = 0, 0.01, 0.02, 0.04, 0.05, 0.06, 0.08) are synthesized using conventional solid state reaction method. Influence of BaTiO₃ on crystal structure, dielectric and piezoelectric properties are investigated. All compositions can form single perovskite phase. Powder x-ray diffraction patterns can be indexed assuming a pseudo-cubic structure. Lattice constant increases with the increase of BaTiO₃ concentration. Rhombohedral distortion is observed in poled samples with BaTiO₃ concentration up to 6 mol%. Temperature dependence of dielectric constant and dissipation factor measurement reveals that all compositions experience two phase transitions: from ferroelectric to antiferroelectric and from antiferroelectric to paraelectric. Both transition temperatures, T _c and T _f, are lowered due to introduction of BaTiO₃. Ferroelectric to antiferroelectric phase transition has relaxor characteristics. Piezoelectric properties have relatively higher value around 1 mol% to 4 mol% BaTiO₃. In ceramics with x = 0.02, thickness electromechanical coupling factor (k _t) of 0.51 and piezoelectric charge constant (d ₃₃) of 110 × 10^–12 C/N are obtained. Addition of small amount of BaTiO₃ (x = 0.01, 0.02) improves piezoelectric properties compared to NBT-NN binary system, while T _f remains above 140°C, higher than that of NBT-BT binary system composition with similar piezoelectric properties. This is in favor of the possible application of them as lead-free piezoelectric ceramics.     

Quantitative pharmacophore models with inductive logic programming

Three-dimensional models, or pharmacophores, describing Euclidean constraints on the location on small molecules of functional groups (like hydrophobic groups, hydrogen acceptors and donors, etc.), are often used in drug design to describe the medicinal activity of potential drugs (or ‘ligands’). This medicinal activity is produced by interaction of the functional groups on the ligand with a binding site on a target protein. In identifying structure-activity relations of this kind there are three principal issues: (1) It is often difficult to “align” the ligands in order to identify common structural properties that may be responsible for activity; (2) Ligands in solution can adopt different shapes (or `conformations’) arising from torsional rotations about bonds. The 3-D molecular substructure is typically sought on one or more low-energy conformers; and (3) Pharmacophore models must, ideally, predict medicinal activity on some quantitative scale. It has been shown that the logical representation adopted by Inductive Logic Programming (ILP) naturally resolves many of the difficulties associated with the alignment and multi-conformation issues. However, the predictions of models constructed by ILP have hitherto only been nominal, predicting medicinal activity to be present or absent. In this paper, we investigate the construction of two kinds of quantitative pharmacophoric models with ILP: (a) Models that predict the probability that a ligand is “active”; and (b) Models that predict the actual medicinal activity of a ligand. Quantitative predictions are obtained by the utilising the following statistical procedures as background knowledge: logistic regression and naive Bayes, for probability prediction; linear and kernel regression, for activity prediction. The multi-conformation issue and, more generally, the relational representation used by ILP results in some special difficulties in the use of any statistical procedure. We present the principal issues and some solutions. Specifically, using data on the inhibition of the protease Thermolysin, we demonstrate that it is possible for an ILP program to construct good quantitative structure-activity models. We also comment on the relationship of this work to other recent developments in statistical relational learning. Editors: Tamás Horváth and Akihiro Yamamoto     

典型电子现金系统的分析及其安全需求

文章设计了一种电子现金系统,关键是对安全性、效率、成本等进行综合考虑。从这些方面入手,论文分析了三种典型的电子现金系统—D.Chaum方案、S.Brands方案和T.okamoto方案。然后,结合匿名通信协议,提出如何更好地满足顾客利用公开网络进行安全通信的需求。