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。     

TUD-DNS3脱硝助剂在催化裂化装置的工业应用

TUD-DNS3脱硝助剂在中韩（武汉）石油化工有限公司1号催化裂化装置上进行了工业应用。结果表明：针对两段再生工艺，当系统中助剂占总催化剂藏量的质量分数为2.6%时，烟气脱硫装置外排污水中的氨氮质量浓度由加剂前的100 mg/L下降至40 mg/L以内；助剂的加入降低了CO焚烧炉的炉膛温度，有利于烟气的合格排放，并对装置操作、产品分布及汽油、柴油产品质量无不良影响。     

Thermo-Sensitive Ba0.64Sr0.36TiO3 Thin Film Capacitors for Dielectric Type Uncooled Infrared Sensors

Ba_0.64Sr_0.36TiO₃ (BST) thin films are prepared on Pt/Ti/SiO₂/Si₃N₄/SiO₂/Si substrates by a sol-gel method. Thermo-sensitive BST thin film capacitors with a Metal-Ferroelectrics-Metal (M-F(BST)-M) structure are fabricated as the active elements of dielectric type uncooled infrared sensors. XRD are employed to analyze the crystallographic structures of the films. AFM observations reveal a smooth and dense surface of the films with an average grain size of about 35 nm. Rapid temperature annealing (RTA) process is a very efficient way to improve crystallization quality. The preferable annealing temperature is 800°C for 1 min. The butterfly shaped C-V curves of the capacitors indicate the films have a ferroelectric nature. The dielectric constant and dielectric loss of the films at 100 kHz are 450 and 0.038, respectively. At 25°C, where the thermo-sensitive capacitors work, the temperature coefficient of dielectric constant (TCD) is about 5.9 %/°C. These results indicate that the capacitors with sol-gel derived BST thin films are promising to develop dielectric type uncooled infrared sensors.     

诱导水解法制备微细高分散金红石型二氧化钛

采用加热TiCl4稀溶液的方式,制备晶种,将其导入一定浓度的TiCl4溶液中进行诱导水解。所得的偏钛酸经干燥、煅烧后得到分散性好,D50为1 mm以下,金红石含量为≥95%的高纯TiO2,可用于生产PTC热敏电阻等铁电陶瓷。     

Simplification of the Plasma Load of Negative-Pulse-Bias Source Used in Arc Ion Plating

Based on the voltage and current fluctuating phenomenon in the arc plasma load under the negative-pulse-bias, usingthe plasma physics theory and analysis of computer simulation expatiates that the nature of plasma load in vacuumarc plasma is a capacitance     

马来酸酐对聚酰胺6短纤维/天然橡胶复合材料的增容作用

将马来酸酐直接与天然橡胶混炼，得到的马来酸酐-天然橡胶接枝物既能与聚酰胺6短纤维也能与天然橡胶形成良好的结合，有助于提高短纤维增强橡胶复合材料的物理机械性能。     

改性乳化沥青的发展和应用概况

综述了改性乳化沥青的发展及应用概况,重点讨论了改性乳化沥青的生产、制备工艺、稳定性影响因素,并对国内外改性乳化沥青的应用情况加以概述。     

氢分压对润滑油异构降凝反应的影响

采用石油化工科学研究院开发的RIW润滑油异构降凝催化剂，在固定床微反加氢装置上考察了不同氢分压下正十六烷的转化率和选择性，并以实际油品为原料。在中型加氢装置上进行降凝试验。结果表明，较低的反应温度、较低的氢分压有利于大分子正构烷烃在双功能催化剂上的异构化反应。从产品要求上看，尽管低压有利于生成低倾点的油品，但由于生成了较多的芳烃，影响润滑油基础油的安定性，很难满足API Ⅱ类油或API Ⅲ类油对芳烃含量小于10％的限定指标要求。因此在工业应用时，应该综合考虑异构降凝的反应压力，在相对合理的氢分压下操作。     

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     

An Analysis of Citation Counts of ETRI‐Invented US Patents

From its foundation until 2004, ETRI has registered over 1,000 US patents. This letter analyzes the characteristics of these patents and addresses the explanatory factors affecting their citation counts. For explanatory variables, research team related variables, invention specific variables, and geographical domain related variables are suggested. Zero‐altered count data models are used to test the impact of independent variables. A key finding is that technological cumulativeness, the scale of invention, outputs in the electronic field, and the degree of dependence on the US technology domain positively affect the citation counts of ETRI‐invented US patents. The magnitude of international presence appears to negatively affect the citation counts of ETRI‐invented US patents.