An Introduction to Mathematics for Social Justice

Abstract

In this introduction to the PRIMUS Special Issue on Mathematics for Social Justice we provide a brief history of social justice in the context of undergraduate mathematics pedagogy and explain the purpose and motivation behind this movement in undergraduate education.     

基于深度学习的学生教学评价情感分析

随着教育信息化建设的深入推进,教学系统中积累了海量的学生教学评价数据,这些数据蕴含了丰富的信息,亟待挖掘利用。为了挖掘学生教学评价中的情感倾向,为提高教学质量提供科学依据,文章提出了一种基于双通道深度记忆网络的深度学习模型,用于学生教学评价的方面级情感分析。在该模型中,设计了双通道策略以充分提取评语中隐含的局部特征和上下文依赖信息,并使用循环注意力机制提取与特定教学方面相关的情感信息以实现细粒度的方面级情感分析。通过在真实的教学评价数据集上进行实验,结果表明,所提出的方法能有效挖掘学生评价中关于不同教学方面的情感倾向,为教师和教学管理者了解并改进教学提供依据。     

网络时供的数据存储

阐述网络时代数据存储的重要性，介绍存储产品的性能，发展状况。     

一束形似变截面圆拱的构造图式方法及其规律

跨度L以30M为模数,当矢高f=L/6,跨中截面高度h=L/60时,所构成的一系列不同跨度的变截面园拱,其构图有一定的规律性,形成一束具有相同特征的形似构造图形。该构造图式方法,从理论上导出了此种系列任一符合上述要求之变截面圆拱的尺寸,并决定了其形状,可为喜好变截面圆拱这种结构形式的设计者提供出一套确定其建筑结构外形尺寸的定性设计及制图的方法。     

档案资源在创伤记忆国际认同中的建构作用及实现路径探析

文章以南京大屠杀事件为主要分析对象,主要探讨的是集体语境下的创伤记忆。首先,对创伤记忆国际认同的意义以及国际认同面临的困境加以探讨;其次,指出档案资源在创伤记忆中的建构作用及其作用机理,详尽阐释创伤记忆的延续传承直至国际认同离不开档案资源的建构;最后,从档案的视角探讨促进创伤记忆国际认同的实现路径,将创伤记忆的研究引申至档案学领域,以期在丰富档案学理论的同时让集体创伤记忆得到更大范围的认同。     

宋代状元的寿命及地理分布

北宋状元，主要集中在河南、山东两省；南宋则集中于浙江、福建，尤其福建较为特别，超过了毗邻浙江的江苏、安徽和江西，说明福建当时的教育比较突出。已知其生卒年或寿数的70人中，80岁及80岁以上的占7．14％；70岁至79岁的占20％；60岁至69岁的占21．43％；50岁至59岁的占17．11％；40岁至49岁的占20％；30岁至39岁的占11．4％；不足30岁的占2．86％。70人的平均寿命为57．74岁。     

山陕后稷神话的民间记忆与文化重构

后稷是一位兼具人与神的双重品格的传说人物,在中华文化的历史上有其独特的传承方式,正统的稷祀文化一直有着重要的历史地位.但其在民间的记忆也是后稷文化传承不可分割的重要组成部分,对地方知识体系的构建有着不可忽视的作用.本文将对后稷神话传承于山陕民间的隐性资源所构建起的文化和谐系统予以民俗理论的观照,探寻其对建设社会和谐文化的积极意义.     

How children learn to use language

There have been many theories about how children learn to use language. Professor Narasimhan proposed a theory of child language acquisition based on behavioural pragmatics. In this article we present a simplified version of his theories about how children learn to communicate, to describe, manipulate and explore the world around them from exposure to variety of language utterances and non-verbal inputs such as gestures and pointing. We also discuss the method he used to substantiate his ideas, and briefly present a computational model of the ideas arising from his work. Raman Chandrasekar has been with Microsoft Research, Redmond, USA. since 1998. His current research interests are at the intersection of information retrieval, natural language processing and machine learning. He received his PhD from TIFR, Bombay.     

Wavelet network based predistortion method for wideband RF power amplifiers exhibiting memory effects

RF power amplifiers (PAs) are usually considered as memoryless devices in most existing predistortion techniques. Nevertheless, in wideband communication systems, PA memory effects can no longer be ignored and memoryless predistortion cannot linearize PAs effectively. After analyzing PA memory effects, a novel predistortion method based on wavelet networks (WNs) is proposed to linearize wideband RF power amplifiers. A complex wavelet network with tapped delay lines is applied to construct the predistorter and then a complex backpropagation algorithm is developed to train the predistorter parameters. The simulation results show that compared with the previously published feed-forward neural network predistortion method, the proposed method provides faster convergence rate and better performance in reducing out-of-band spectral regrowth.     

学习者个人因素对英语听力理解的影响

听是获得信息的重要手段，也是学习外语必须掌握的一项基本技能。影响听力理解的因素有很多，除了语言因素之外，学习者的个人语言因素是一个不可忽视的重要方面。本文分析了学习者的语言知识，学习动机和短时记忆能力对听力理解的影响，指出在大学英语教学中，教师不应该只注重语言知识的讲解和听力技巧的培养，而应该有意识的加强学习动机和短时记忆能力的培养。