《Internet基础与应用》课程的在线考试系统开发与应用

在线考试系统主要采用Asp Access技术设计,并且基于B/S应用模型,设计的考试的范围限于《Internet基础与应用》课程。为了增强该考试系统的方便性、实用性、安全性以及可移植性,设计时将所有的试题都放在以Access为平台的数据库中,增加、修改试题时,只要改动数据库即可。对试题设计一个随机算法,每一个用户所获得的试题是不同的,还加载了一个时钟,这样可以控制考试的时间。     

基坑支护中土压力主、被动区的互换分析

以太原市某工程为例，从实际的基坑设计中得出，基坑支护中土压力设计值一般都比实际值偏大；支护桩周围的土压力的主动区、被动区并不是一成不变的。提出用位移分析的土压力模型来区分实际工程中的主、被动区，而后进行土体受力定量的分析。     

岩土体渗透变形在坝基工程中的危害及防治

介绍了渗透变形的特征，危害及其影响因素，阐述了渗透变形的预测和防治方法。     

宪法理论基础简论

宪法理论基础是宪法理论和实践的基本理念。近代人民在革命斗争中，认识到国家权力最容易侵犯人的权利，因此人们用宪法严格限制国家权力。但随着社会的发展，社会需要国家干预，人的积极性权利也需要国家创造条件，国家权力迅速膨胀。传统严格限权模式不再适用社会需要，现代社会既需要授予国家权力，又需要控制国家权力。     

模糊神经网络在复合地基沉降量预测中的应用

复合地基后期沉降变形对于建筑物设计及安全具有重要意义,针对通过长期沉降观测以得到复合地基的最终沉降需要耗费较多资源的问题,提出了一种基于模糊神经网络的预测方法.该方法考虑沉降变化过程有较大的随机性和模糊性,直接将样本数据进行模糊化,所得的模糊数代表了样本点集与控制点集中各分量之间的相关度,并依此建立模糊BP神经网络进行学习和估算.实验结果表明了该方法对沉降进行预测是可行与有效的,且在相对误差的有效控制方面优于BP网络方法与灰色方法.     

模型试验基础边界模拟研究

为提高结构模型试验精度,减小通常模型基础偏小的影响,提出了调整模型基础边 界弹模的办法以“延长”模型边界,应用于某水电站拦河坝整体光弹试验后,取得了较 好的结果。     

Identifying potential binding modes and explaining partitioning behavior using flexible alignments and multidimensional scaling

A method is described for the rapid and automatic analysis of flexible molecular alignments using multidimensional scaling and a normalized scoring scheme. A projection scheme was devised to separate orientational and conformational effects. It is shown that the approach can be utilized for the identification of common binding orientations or to the study of differences in partioning behavior. It is suggested that the method can be employed as a novel approach exploring molecular similarity as a dynamic property, so that it includes aspects of motion (by way of mutual orientations), conformations and molecular properties.     

Characterisation of Sol-Gel TiO2 Films by Etching

This article describes the SmartKom Companion, one of three demonstrators developed within the SmartKom project whose goal has been to provide an intuitive and intelligent interface for non-expert users to everyday computer-based applications in different scenarios of use. Conceived for the SmartKom Mobile scenario, the Companion allows intuitive multimodal interaction for drivers and pedestrians. The development of the SmartKom prototypes was constantly accompanied by Wizard-of-Oz experiments as well as system evaluations at different stages of the project. Some usability evaluation results relative to the SmartKom Companion will also be presented.     

Synthesis and characterization of segmented liquid crystal poly(azoxy polyester-co-polyoxypropylene)

In this study a series of a segmented copolyester, poly(4,4′-dioxy-2,2′-dimethyl-azoxybenzene dodecanedioyl) (PMABD)-co-polyoxypropylene 400 (POP), was prepared. The chain length of PMABD studied (n) was varied from 7.8-18.2, and that of POP was unchanged. The intrinsic viscosity of the segmented copolyesters was 1.04-1.30, and the number average molecular weight obtained was 2.53 × 10⁴?3.49 × 10⁴ g/mol. The mesophase texture and thermal properties of the segmented copolyesters were measured as functions of n. It was found that the insert of flexible POP between those liquid crystalline domains of PMABD did affect thermotropic properties of PMABD. As the n value was 9.0 and 7.8 (or 7.4 and 8.6% by weight POP) the texture appeared as cholesteric-like oily streaks. The effect could not be attained by simply copolymerizing a mesogenic moiety with a pair of spacers of different lengths. The fluidity and domain structure of the flexible dodecanedioyl-POP-dodcanedioyl segments are taken into account for the obtained results. © 1995 John Wiley & Sons, Inc.     

Ligand-protein docking using a quantum stochastic tunneling optimization method

A novel hybrid optimization method called quantum stochastic tunneling has been recently introduced. Here, we report its implementation within a new docking program called EasyDock and a validation with the CCDC/Astex data set of ligand-protein complexes using the PLP score to represent the ligand-protein potential energy surface and ScreenScore to score the ligand-protein binding energies. When taking the top energy-ranked ligand binding mode pose, we were able to predict the correct crystallographic ligand binding mode in up to 75% of the cases. By using this novel optimization method run times for typical docking simulations are significantly shortened.