Does anticipation training affect drivers' risk taking?

Skill and risk taking are argued to be independent and to require different remedial programs. However, it is possible to contend that skill-based training could be associated with an increase, a decrease, or no change in risk-taking behavior. In 3 experiments, the authors examined the influence of a skill-based training program (hazard perception) on the risk-taking behavior of car drivers (using video-based driving simulations). Experiment 1 demonstrated a decrease in risk taking for novice drivers. In Experiment 2, the authors examined the possibilities that the skills training might operate through either a nonspecific reduction in risk taking or a specific improvement in hazard perception. Evidence supported the latter. These findings were replicated in a more ecological context in Experiment 3, which compared advanced and nonadvanced police drivers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

做人贵在清白,做事必须认真,做学问要敢于好高骛远,善于实事求是

结合自身的学习、工作经历，与研究生畅谈如何学会“做人、做事、做学问”。     

Managing information technology in the nineties

Business, not technology leaders should manage the change of Information Technology (IT) from a self-contained business support unit of the sixties to a distributed strategic business function of the nineties. Top management should recognize that a good business plan can only be developed and executed through the partnership between the business unit managers and the managers of the financial, the personnel, and the IT resource units. The technical problems associated with the management of IT may again be the easier part of the total management challenge.     

核电厂放射性监测系统仿真的数学物理模型

较详细地介绍了在北京核电厂模拟培训中心的模拟器上建立ＲＭＳ仿真系统的工作。首先对仿真的原型进行分析和简化，建立数学物理模型，并对包括ＲＣＳ、ＰＺＲ、ＳＧ、ＣＶＣＳ等的近２０个核电厂系统进行了动态仿真建模，确定ＲＭＳ各监测点放射性水平仿真读数的计算方法，最后，给出部分仿真实验结果，以验证数学物理模型的可靠性和适用性。     

依靠弯道控导河势流路

在天然河道中，河势演变虽具有一定的随机性，但仍有一定的规律可循，在一个河段内，一般可归纳出2－3条基本流路，为控制河势变化，需要选择出一条基本流路进行河道整治，当连续发生枯水期或洪水期时，部分河段的河势可能出现大的变化，为防止不利河势向下游传播，可修建较长的龙头弯道工程，利用龙头弯道工程分段调整，控导河势，保持河势稳定。     

基于人工神经网络的河川径流实时预报研究

将人工神经网络技术应用于河川径流实时预报，建立起河川径流实时预报的BP网络模型，并针对经典BP算法所存在的缺陷，采用共轭梯度优化和误差反向传播训练算法，使得所建立的BP网络模型的收敛性大为改善，消除和避免了实际应用中可能出现的局部优化问题．利用西大洋水库1975～1995年的入库径流系列资料，对所建立的BP网络模型进行训练和检验，同时探讨了网络结构对网络模型预报结果的影响．通过大量的实际应用和对比分析，表明BP网络模型比HG分析模型和相关图法更优越、更具有实际推广和应用价值．     

时效和重新训练对Cu－Zn－Al合金组织与记忆性能的影响

用约束训练法对时效后的Ｃｕ－Ｚｎ－Ａｌ形状记忆合金进行了重新训练。结果表明，在未发生贝氏体转变的条件下，时效所导致的记忆衰减可以通过重新训练予以改善。透射电镜分析指出，重新训练后，发生了马氏体的再取向，因时效而导致的细条状、台阶状变体大部分消除，且变体间的结合方式变为自协作性良好的孪晶关系，从而改善了合金的记忆性能。     

支持向量机的发展与应用

基于统计学习理论的支持向量机（SVM）是一种新型的机器学习方法，描述了SVM在模式识别和回归估计中的基本思想。在大训练样本情况下，用传统的方法求解SVM问题计算复杂，针对该问题探讨了一系列的SVM训练算法，并对其进行了比较。SVM由于其良好的泛化能力和全局最优性能．在模式识别、数据挖掘、非线性系统建模和控制等领域中展现出广泛的应用前景。