3-N-丙酰基-2-芳基-5-(3-碘苯基)-1,3,4-(噁)唑啉类化合物的合成及表征

以3-碘苯甲酸为原料，在浓硫酸作用下与乙醇反应制得3-碘苯甲酸乙酯（1），再以无水乙醇为溶剂，在105℃化合物1与80％的水合肼反应8h，制得3-碘苯甲酰肼（2）。在无水乙醇中，在90～95℃化合物2分别与4-甲基苯甲醛、2-氯苯甲醛、4-氯苯甲醛、4-羟基苯甲醛、2，4-二氯苯甲醛、4-甲氧基苯甲醛、3-硝基苯甲醛、4-硝基苯甲醛和4-二甲氨基苯甲醛反应得到相应的酰腙E3（a～i）]。最后化合物3（a～i）分别与丙酸酐脱水环化成了3-M丙酰基-2-芳基-5-（3-碘苯基）-1，3，4-噁唑啉类化合物E4（a～i）]，收率分别为86．2％，70．5％，80．1％，68．2％，62．4％，75．2％，73．2％，70．5％和63．2％。并通过元素分析，IR，^1H NMR和MS对化合物4（a～i）的结构进行了表征。     

石化装置蒸汽发生系统的仪表工程设计

主要探讨了某石化装置蒸汽发生系统的仪表工程设计，提出了复杂控制方案、联锁方案设计，同时也详述了影响系统设计的因素，如测量补偿和迁移等。     

Organic Nanoparticles: Preparation,Self‐Assembly,and Properties

The strong tendency of organic nanoparticles to rapidly self‐assemble into highly aligned superlattices at room temperature when solution‐cast from dispersions or spray‐coated directly onto various substrates is described. The nanoparticle dispersions are stable for years. The novel precipitation process used is believed to result in molecular distances and alignments in the nanoparticles that are not normally possible. Functional organic light‐emitting diodes (OLEDs)—which have the same host–dopant emissive‐material composition—with process‐tunable electroluminescence have been built with these nanoparticles, indicating the presence of novel nanostructures. For example, only changing the conditions of the precipitation process changes the OLED emission from green light to yellow.     

人工神经网络预测煤的发热量

应用人工神经网络处理部分广东地区煤质分析数据,建立网络模型,预测出煤的发热量,经实测值与预测值比较,在一定的煤种范围内预测值与实测值比较接近。     

积层板的制造方法

概述了积层板的开发背景、制造工艺和最近的开发动向。     

A multigrid accelerated hybrid unstructured mesh method for 3D compressible turbulent flow

 A cell vertex finite volume method for the solution of steady compressible turbulent flow problems on unstructured hybrid meshes of tetrahedra, prisms, pyramids and hexahedra is described. These hybrid meshes are constructed by firstly discretising the computational domain using tetrahedral elements and then by merging certain tetrahedra. A one equation turbulence model is employed and the solution of the steady flow equations is obtained by explicit relaxation. The solution process is accelerated by the addition of a multigrid method, in which the coarse meshes are generated by agglomeration, and by parallelisation. The approach is shown to be effective for the simulation of a number of 3D flows of current practical interest. Sponsored by The Research Council of Norway, project number 125676/410 Dedicated to the memory of Prof. Mike Crisfield, a respected colleague     

Biotransformation of l‐menthol by twelve isolates of soil‐borne plant pathogenic fungi (Rhizoctonia solani) and classification of fungi

The microbial transformation of l‐menthol ( 1 ) was investigated by using 12 isolates of soil‐borne plant pathogenic fungi, Rhizoctonia solani (AG‐1‐IA Rs24, Joichi‐2, RRG97‐1; AG‐1‐IB TR22, R147, 110.4; AG‐1‐IC F‐1, F‐4, P‐1; AG‐1‐ID RCP‐1, RCP‐3, and RCP‐7) as a biocatalyst. Rhizoctonia solani F‐1, F‐4 and P‐1 showed 89.7–99.9% yields of converted product from 1 , RCP‐1, RCP‐3, and RCP‐7 26.0–26.9% and the other isolates 0.1–12.0%. In the cases of F‐1, F‐4 and P‐1, substrate 1 was converted to (?)‐(1S,3R,4S,6S)‐6‐hydroxymenthol ( 2 ), (?)‐(1S,3R,4S)‐1‐hydroxymenthol ( 3 ) and (+)‐(1S,3R,4R,6S)‐6,8‐dihydroxymenthol ( 4 ), which was a new compound. Substrate 1 was converted to 2 and/or 3 by RRG97‐1, 110.4, RCP‐1, RCP‐3 and RCP‐7. The structures of the metabolic products were elucidated on the basis of their spectral data. In addition, metabolic pathways of the biotransformation of 1 by Rhizoctonia solani are discussed. Finally, from the main component analysis and the differences in the yields of converted product from 1 , the 12 isolates of Rhizoctonia solani were divided into three groups based on an analysis of the metabolites. Copyright © 2003 Society of Chemical Industry