Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

浅谈CorelDRAW中表格的绘制

文章介绍了在CorelDRAW中绘制表格的步骤和操作方法,并用实例加以说明。     

ILASⅡ、LibSys200O期刊管理功能的比较研究

期刊是图书馆文献资源的重要组成部分,期刊工作是图书馆工作的重要组成部分,但其管理的自动化相对滞后,是图书馆自动化的薄弱环节,图书馆自动化集成系统在期刊管理的功能设置上也相对滞后.文章对ILAS Ⅱ、LibSys2000集成系统的期刊管理功能和应用特点以及存在的问题进行了讨论和比较,旨在促进期刊管理自动化的发展.为我国图书馆自动化集成系统的升级完善和用户的选择使用提供借鉴.     

The effects of first language orthographic features on word recognition processing in English as a second language

This study investigated the possible effects of first language (L1) orthographic characteristics on word recognition in English as a second language (ESL). Case alternation was used to examine the impact of visually distorted words of different types on fluent ESL readers' word recognition in naming. Visual distortion of word shape (i.e., cAsE aLtErNaTiOn) was utilized because, although visually distorted words have lost word-shape cues, they preserve the cue value of words (i.e., spelling patterns). It, therefore, was hypothesized that if one is sensitive to alphabetic orthography, or if one's inner mechanism of processing an alphabetic word is efficient, then the visual disruption of word-shape cues should not affect one's sensitivity to sequences of letters in words. In other words, this study focused on the magnitude of the effect of case alternation in word recognition as an index of the sensitivity to alphabetic words. Results showed that the magnitude of the case alternation effect in a naming task was significantly larger for the ESL participants whose L1 is not alphabetic (i.e., Chinese and Japanese) than the ESL participants whose L1 is alphabetic (i.e., Iranians -- Persian as L1). This result seems to indicate that the Persian speakers, due to the facilitating influence of their L1 orthography, were less influenced by case alternation than the Chinese and Japanese speakers, whose L1 orthographies are not alphabetic. This finding suggests that the first language orthographic features affect the orthographic coding mechanisms (i.e., word recognition mechanisms) in a second language.     

高校教学管理信息系统的研究与设计

本文主要介绍了在Windows环境下采用Delphi6.0和SQL Server 2000开发工具开发的一个教务管理系统。该系统是一个采用Client/Server技术开发的、面向学校各部门以及各层次用户的多模块综合信息管理系统。     

利用Delphi访问Word文档

本文论述了利用Delphi访问Word文档,包括对Word文档的打开、连接及修改编辑操作,从而实现Delphi与Word文档的完美结合。     

基于Windows2000组策略的机房管理

本文在介绍Windows2000组策略的基础上,给出了如何利用组策略对计算机房进行统一管理的方法.     

关于中专英语词汇教学

通过新旧单词对比、同义词反义词对比、构词法等教会中专学生记忆英语单词以扩大词汇量激发他们的学习英语的兴趣，同时通过与词的搭配方面的教学，促进学生扩大语汇，学会理解英语词的词义并掌握其用法，这是中专英语词汇教学的有效方法。     

一种基于CIEDE2000的烟叶颜色分级方法

烟叶人工分级易受主观因素影响,分级结果存在主观差异性,需要建立与人眼视觉感受相吻合的客观分级方法。本文针对烟叶颜色属性进行分级判断,给出一种基于CIEDE2000的均匀色差颜色分级方法。该方法包含了亮度、色调和饱和度综合色差视觉感受的图像评价标准,将待测烟叶与标准烟叶库中所有标准烟叶分别做色差计算,根据距离准则,寻找与当前待测烟叶色差最小的标准烟叶,同时对这个最小距离进行阈值判定,来确定当前待测烟叶的等级。实验结果表明根据CIEDE2000色差公式的颜色分级方法优于RGB颜色分级方法,与人眼视觉感受更为吻合,为建立烟叶自动分级系统提供了新的依据。     

Confirmatory factor analysis of word recognition and process measures in the Colorado Reading Project

Measures of word recognition (REC) and two component skills, phonological coding (PHON) and orthographic coding (ORTH), were subjected to multivariate behavioral genetic analysis. Data were obtained from a sample of identical and fraternal twin pairs wherein at least one member of each pair was reading disabled (RD), and from a sample of twins wherein both members of each pair read in the normal range. Confirmatory factor analysis was used to fit the genetic, common environmental, and specific environmental covariance components for REC, PHON, and ORTH within the RD and normal simples. The resulting heritability estimates for REC, PHON, and ORTH were 0.59, 0.41, and 0.05 in the RD sample, and 0.35, 0.52, and 0.20 in the normal sample. After dropping the nonsignificant common environment parameters from the models, the genetic correlations between REC and PHON and between REC and ORTH were respectively 0.81 and 0.45 in the RD sample, and 0.68 and 0.45 in the normal sample. Differences between the genetic correlations were significant in the RD sample (p<0.005), marginally significant in the normal sample (p<0.10), and highly significant in the combined sample (p<0.001), indicating that genetic influences on individual differences in REC are more strongly related to genetic variance in PHON than in ORTH. These results are consistent with previous demonstrations of substantial genetic covariance between the disabled group's deficits in REC and PHON, but not between REC and ORTH (Olson et al., 1989; Olson and Rack, 1990).