记忆面孔, 男女有别: 关于面孔再认性别差异的行为与ERP研究

采用行为实验及事件相关电位技术, 通过学习-测验范式考察面孔再认中的性别差异,结果发现: (ⅰ) 女性面孔更容易被记住, 且女性很可能比男性更擅长记忆面孔. (ⅱ) 旧面孔诱发的N170 波幅更大, 表明该脑电成分可受到面孔熟悉度的调制. (ⅲ) 女性面孔诱发的N170 波幅更大, 而男性面孔引发的P2 波幅更大; 前者可能与女性面孔可变化的特征较多、需要更大的心理负载有关; 后者可能与男性面孔可变化的特征较少、再认难度较大, 从而需要更深的加工有关. (ⅳ) 新旧面孔诱发女性被试的P1 波幅存在差异, 但男性被试身上不存在此现象, 提示女性的脑活动可能比男性更早地受面孔的熟悉度所调制. 此外, 女性被试对于新旧面孔还表现出P2, N250 波幅的差异, 且女性被试新旧效应涉及的头皮范围比男性更广, 这些都为女性较好的面孔再认能力提供了电生理证据.     

中枢记忆性T细胞和效应记忆性T细胞

免疫记忆是适应性免疫应答的重要特征,其细胞学基础的阐明是疫苗开发和疾病预防的关键。近年来的研究表明,记忆性T细胞可以被进一步划分为中枢记忆性T细胞和外周记忆性T细胞2个亚群,它们的分布和功能迥异,在生物学特性上也不尽相同。二者关系的深入探讨对于免疫记忆的认识和疾病防治均具有重大的理论和实践意义。     

SMA-滚动隔震火炬塔的地震反应分析

提出一种新的SMA-滚动隔震支座,建立了该支座的恢复力模型,并应用于火炬塔基础部位.研究了该隔震体系在El-Centro地震波作用下的时程反应,并与非隔震的火炬塔结构体系进行了对比研究.计算结果表明,SMA-滚动隔震支座隔震体系的质量层最大绝对加速度可减少86.6%,上拔力减少了72.9%,轴力最大可减少87.2%.     

机器学习模型在地下水埋深模拟中的适应性分析

基于京津冀气象、社会资料及地下水埋深数据,构建支持向量机(SVM)、循环神经网络(RNN)和长短期记忆神经网络(LSTM)模型对京津冀地区13个城市地下水埋深进行了模拟,并以确定系数、均方根误差、平均绝对百分比误差、纳什系数对3个模型的适应性进行了评价。结果表明：LSTM模型模拟效果最好,其次是RNN,SVM最差;不同城市基于LSTM模型进行地下水埋深模拟时参数调整最少,适应性最好,SVM模型参数调整最多。将3个模型应用于随机选择的6个测站进行验证,在华北地区浅层地下水埋深模拟方面,LSTM模型模拟精度和可信度最好,适应性最强,是该地区地下水埋深模拟的首选机器学习模型。     

基于Windows的DSM系统中线程迁移的实现

随着多线程DSM系统的发展,线程迁移已经成为DSM系统中一个非常重要的研究课题。在分析Windows操作系统的存储和控制结构的基础上,讨论了基于Windows操作系统的多线程DSM系统的基本框架,提出了一种对线程进行动态迁移的方法。并且在一个基于Windows操作系统工作站机群的Smonn系统中成功实现,表明了该方法的有效性。     

Exploring Survey‐Based Inflation Forecasts

This paper first shows that survey‐based expectations (SBE) outperform standard time series models in US quarterly inflation out‐of‐sample prediction and that the term structure of survey‐based inflation forecasts has predictive power over the path of future inflation changes. It then proposes some empirical explanations for the forecasting success of survey‐based inflation expectations. We show that SBE pool a large amount of heterogeneous information on inflation expectations and react more flexibly and accurately to macro conditions both contemporaneously and dynamically. We illustrate the flexibility of SBE forecasts in the context of the 2008 financial crisis. Copyright © 2011 John Wiley & Sons, Ltd.     

Long Memory of Financial Time Series and Hidden Markov Models with Time‐Varying Parameters

Hidden Markov models are often used to model daily returns and to infer the hidden state of financial markets. Previous studies have found that the estimated models change over time, but the implications of the time‐varying behavior have not been thoroughly examined. This paper presents an adaptive estimation approach that allows for the parameters of the estimated models to be time varying. It is shown that a two‐state Gaussian hidden Markov model with time‐varying parameters is able to reproduce the long memory of squared daily returns that was previously believed to be the most difficult fact to reproduce with a hidden Markov model. Capturing the time‐varying behavior of the parameters also leads to improved one‐step density forecasts. Finally, it is shown that the forecasting performance of the estimated models can be further improved using local smoothing to forecast the parameter variations. Copyright © 2016 John Wiley & Sons, Ltd.     

税控收款机Flash文件系统的设计与实现

针对税控收款机设计了一种Flash文件系统,通过Flash空间分配实现方式优化、断电保护和空间回收等关键技术,并结合嵌入式数据库设计思想,向用户提供方便可靠的数据导入导出及日常检索功能,从而为税控收款机的推广提供了系统软件支持。     

基于Delphi扫描线技术的快速图像处理

传统的图像处理一般采用像素点赋值的方法,处理速度极慢,对于大型图像几乎无能为力,而Delphi扫描线方法是对图像的每一行进行扫描,获得各像素的内存地址.这种内存操作比常规的像素点赋值效率高很多,从而可以大大提高大型位图图像的处理速度.     

Volterra series based predistortion for broadband RF power amplifiers with memory effects

RF power amplifiers(PAs)are usually considered as memoryless devices in most existing predistortion techniques.However,in broadband communication systems,such as WCDMA,the PA memory effects are significant,and memoryless predistortion cannot linearize the PAs effectively.After analyzing the PA memory effects,a novel predistortion method based on the simplified Volterra series is proposed to linearize broadband RF PAs with memory effects.The indirect learning architecture is adopted to design the predistortion scheme and the recursive least squares algorithm with forgetting factor is applied to identify the parameters of the predistorter.Simulation results show that the proposed predistortion method can compensate the nonlinear distortion and memory effects of broadband RF PAs effectively.