磷系水质稳定剂的合成和应用

介绍了国内外磷系水质稳定剂的现状和发展，重点讨论了作为水质稳定剂的聚磷酸钠、有机多元膦酸、膦羧酸以及磷酸酯的合成和应用。     

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通过对J.J.Arps方程的推导,提出了油气藏产量递减曲线分析的最佳拟合法。用该法可直接求出递减指数N、初始递减率D1及油气递减前的稳定产量Qi,避免了使用试差法的大量运算过程,大大提高了油气藏工程中指标预测的精度。     

一种新型有机锗化合物的合成及其抗癌性

癌症是当今人类疾病中的第一杀手,寻找新的药物预防和医治癌症是21世纪有机化学的重要研究课题之一。本文报道了一种新型有机锗化合物的合成,它对肺腺癌细胞生长抑制率达88%。     

挖掘机工作装置实验样本长度确定方法及程序系统

本文通过对某液压挖掘机工作装置实验样本长度的研究,详细讨论了样本长度的确定方法,重点分析了趋势曲线拟合法,提出了样本长度精度区间分析的方法,并在处理大量实验数据的基础上,从载荷分布及寿命估算的角度做了实际的验证.编制了应用程序,使样本长度确定至寿命估算整个过程程序化.     

Teachers' brief nonverbal behaviors in defined instructional situations can predict students' evaluations.

Can a few seconds of high school teachers' nonverbal (NV) behavior predict students' ratings of these teachers (SRT)? Yes, but NV-SRT relations varied among various instructional situations. NV behaviors while administering the class and using the board were unrelated to SRT. Positive judgments of NV behavior while disciplining the class and interacting with students were positively related to SRT. NV behaviors in frontal teaching were negatively related to SRT. The most negative NV-SRT relations were found for teachers' differential NV behavior toward high- versus low-achieving students. Teacher differentiality and SRT have rarely been investigated in high school. The structure of SRT seems to differ between high school and college, and students' anger about teachers' differentiality strongly predicted their evaluations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

科技术语中合成词语的语义分析

本文主要介绍了科技术语中的主要构词方法合成法所构成词语的结构和语义。     

N-溴丁二酰亚胺／吡啶氧化合成己二酰基双偶氮化合物

以己二酰二氯和不同取代基的苯肼合成了N,N'-二芳基己二酰二肼类中间体,然后在N-溴丁二酰亚胺(NBS)／吡啶氧化体系下室温合成了8种己二酰基双偶氮化合物。第一步反应条件为:n(己二酰二氯):n(取代苯肼)=1:2,反应温度0-5℃,反应时间4 h,收率80%-93％;第二步反应条件为:n(N,N’-二芳基己二酰二肼):n(NBs／吡啶)=1:2,氧化反应时间0．5-1．0 h,收率80%-94%。并用元素分析、IR、1H NMR对合成的中间产物及目标化合物进行了表征。     

Prediction of fire classification for wood based products. A multivariate statistical approach based on the cone calorimeter

Wood has long traditions as a building material, and is often used in construction elements, and as interior and exterior surfaces in the Nordic countries. In most applications, there are reaction to fire requirements to products used as surfaces, e.g. in escape routes and larger public spaces. Most wood products will therefore have to be treated with fire retardant (FR) agents to fulfil the strict requirements to properties connected to heat release and flame spread. Unfortunately, FR agents usually also increase the smoke production, as they cause a more incomplete combustion of the wood. The wood product manufacturers seek to find the optimal amount of FR additives where both heat release and smoke production in the classifying test are within the requirements given in the building regulations. This paper describes models for prediction of the European reaction to fire classes of wood products. The models are based on multivariate statistical analysis, and use test results from the cone calorimeter test as input. The presented models are, with very good precision, able to predict which Euroclass and additional smoke class a wood based product would obtain if it were to be tested in the single burning item test. Copyright © 2006 John Wiley & Sons, Ltd.