心算加工策略的认知科学研究综述

工作记忆和练习效应都通过多方面对心算过程中的加工策略产生较大的影响。在工作记忆资源被占用的情况下,心算策略的执行与选择都受到了较大的影响。工作记忆与策略复杂性的交互作用,工作记忆与问题难度的交互作用都对策略执行有影响。工作记忆资源的被占用会对策略选择造成较大的影响。练习对策略选择,策略效能、策略迁移、策略的问题大小效应都有影响。练习效应能提高直接提取策略的使用频率,同时降低了运算策略的使用频率。练习有效地缩短了提取策略的完成时间和运算策略的完成时间。练习在部分情况下会缩小问题大小效应,但不能完全消除问题大小效应。练习的结果仅在乘法中会出现部分迁移。不同的理论对练习效应的影响,有着不同的解释。     

Wavelet Estimation of a Long Memory Parameter In the Stock Market

I 1ntroductlonThe potential presence of stochastic long memory in financial asset returns has been animportant subject of both theoretical and empirical research. If asset returns display longmemory, or long--term dependence, they exhibit significant autocorrelation betweenobservations widely separated in time. In economics and finance, long--range dependencehas a long history and has remained a topic of active research is the study of economic andfinancial time series (see Lo [5j and Mandelb…     

集成电路的计算机辅助测试

以9001测试系统为例，介绍计算机在集成电路测试技术中的应用及测试原理，以及现代测试中利用软件进行数据处理，提高测试精度的一些方法。     

如何提高英语的记忆效率

提高英语的记忆效率是学好英语的关键。教师应注意运用适当的教学策略,并指导学生掌握几种英语的学习策略,以提高英语的学习效果。     

谈大学英语听力课中多种能力的培养

针对听力课信息来源广泛，练习性强的特点，提出在不同的学习阶段对学生分别进行听读结合，听说结合，听写结合，视听结合的训练，以确保学生在初级阶段打好基础，中级阶段勇于表达，高级阶段扩大视野，提高层次。强调培养学生的记忆能力，理解能力，表达能力和良好的英语思维能力，并提出了具体的实施步骤和范例。     

高速磁浮列车悬浮间隙仿真预测

基于长短时记忆（LSTM）神经网络提出了一种可用于高速磁浮列车的电磁铁悬浮间隙预测方法。考虑高速磁浮列车运行过程中受到的气动荷载，建立了列车仿真模型并计算列车的动态响应；通过PyCharm建立LSTM神经网络，并以高速磁浮列车仿真模型计算结果为样本集，构建了高速磁浮列车电磁铁悬浮间隙预测模型。最后，通过对预测模型计算结果和评价指标进行评判，验证了所提出的电磁铁间隙预测算法的准确性。     

Development of NiTiNb in-situ composite with high damping capacity and high yield strength

The shape memory alloys are well known to exhibit high damping capacity in martensite state,but possess low yield strength because of the reorientation or de-twining of the martensite variants.The high damping mechanism of shape memory alloys was introduced.The NiTiNb alloys with high yield strength and high damping capacity were designed and prepared.The microstructure evolution,martensitic transformation behavior,damping capacity and mechanical properties of series NiTiNb alloys were investigated.In vi...     

Using Acoustic Emissions to Detect Damage in Three-Dimensional Braided Composites

Three-dimensioual(3D)braided composites with better properties have been used in some particular industries.Some have had obvious signs of crack when they are braided.Others have had catastrophic failures occuring without warning.A new methodology for the analysis of failure modes in composite materials by means of acoustic emission techniques has been developed.The occurrence of fiber-breakage during tensile loading tests has been observed by the acoustic emission technology.Using acoustic emission technology is investigated as a means of monitoring 3D braided composites structures,detecting damage,and predicting impending damage.Stone of the findings of the research project were presented.     

Heterogeneous Asymmetric Dynamic Conditional Correlation Model with Stock Return and Range

The paper considers the return and range model with dynamic conditional correlations (DCC). The paper suggests the new specifications for the asymmetric effects on log‐volatilities and dynamic correlations, combined with long‐run dependences. The new DCC model can be estimated by the quasi‐maximum likelihood method. Empirical analysis on Nikkei 225, Hang Seng and Straits Times indices shows the daily, weekly and monthly pattern of asymmetric effects. For the period including the global financial crisis, the new DCC model provides plausible one‐step‐ahead forecasts of the VaR thresholds, and yields positive economic values of switching from other DCC models. Copyright © 2013 John Wiley & Sons, Ltd.     

记忆规律对思想政治工作中灌输教育的启示

灌输教育是无产阶级政党思想政治工作的重要方法。在新世纪新阶段,我们应该转变传统的灌输教育模式。心理学中的感觉刺激、记忆瓶颈律、首因效应与近因效应、编码特异理论与场合依存效应、＂掩蔽＂效应和遗忘规律等六种记忆发展规律理论对当前思想政治工作中灌输教育方法的创新有重要启示。