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.     

生态技术创新视角下工业产业的种群效应实证研究

以2001~2011年江西省的工业产业为样本,采用生态技术创新种群行为模型对种群效应进行实证分析,发现多数种群的个体数量已经逼近或超过区域创新资源决定的生态阈值,种群内部、种群之间由协同效应转向竞争效应,发出了环境过载的警示。     

Understanding divergent domestication traits from the whole-genome sequencing of swamp- and river-buffalo populations

Domesticated buffaloes have been integral to rice-paddy agro-ecosystems for millennia, yet relatively little is known about the buffalo genomics. Here, we sequenced and assembled reference genomes for both swamp and river buffaloes and we re-sequenced 230 individuals (132 swamp buffaloes and 98 river buffaloes) sampled from across Asia and Europe. Beyond the many actionable insights that our study revealed about the domestication, basic physiology and breeding of buffalo, we made the striking discovery that the divergent domestication traits between swamp and river buffaloes can be explained with recent selections of genes on social behavior, digestion metabolism, strengths and milk production.     

中国-东盟自由贸易区背景下我国跨境教育政策研究

在全球化背景下,高等教育的跨境交流与合作成为了我国教育事业走向国际化的重要渠道。我国与东盟之间的文化教育交流在随着中国-东盟自由贸易区建成之后更加频繁。但目前由于政治经济原因,加上跨文化的障碍,使得我国与东盟跨境教育面临例如学位不能互相认证。在当前形势下发展中国与东盟的跨境教育,要通过跨境教育政策的完善,合作机制的深化改革来实现。     

改进LEACH算法在煤矿安全监控中的应用

提出了一种改进型LEACH算法。将能量因素加入到阈值计算公式中,均衡了节点的能耗。同时,针对重要参数难以通过实验的方式进行评估的问题,基于改进型LEACH算法建立了无线传感器煤矿安全监控网络的仿真模型,利用NS2仿真平台对其重要参数进行了仿真分析。分析结果表明,改进型LEACH算法能均衡节点的能量消耗,有效延长网络的运行时间,并且,通过仿真实现了系统模型参数的优化,验证了安全监控网络实施的可行性。     

Study on pig growth hormone gene polymorphisms in western meat-type breeds and Chinese local breeds

Chinese Meishan and Jiangquhai pigs are two of the most prolific pigs in the world, but their growth rate is lower than that of Duroc, Landrace and Pietrain pigs. It is suggested that growth rate is regulated by growth hormone. The objective of the current study was to analyze the porcine growth hormone (pGH) gene polymorphisms based on the polymerase chain reaction restriction fragment-length polymorphism method (PCR-RFLP) for three western meat-type breeds (Duroc, Landrace and Pietrain) and two local Chinese pigs (Meishan and Jiangquhai). Five polymorphic restriction sites were detected with the ApaI, MspI, BspI and HhaI restriction enzymes in two amplified fragments (605 bp, -119 to +486; 506 bp, +206 to +711). Breed difference was found only in the 506 bp fragment. There was no difference in allelic frequencies of BspI and HhaI restriction sites among the five breeds (P>0.05). Landrace and Meishan pigs lacked allele G3 of MspI site. The allele G3 frequency of restriction MspI site of the 506 bp fragment in Pietrain pigs was higher than that in Duroc and Jianquhai pigs (P<0.001). For ApaI site, the Meishan pigs lacked allele G1; no difference was found in allelic frequencies among Pietrain, Duroc, Landrace and Jiangquhai pigs (P>0.05). This new and rapid PCR-RFLP typing method is an attractive tool for analysis of porcine growth hormone gene restriction sites. The differences in MspI and ApaI restriction sites may explain the growth difference between the foreign meat-type breeds above mentioned and local Chinese pigs.     

网络环境下高校图书馆的SWOT分析

本文通过对高校图书馆的SWOT分析，利用CLPV矩阵，提出了网络环境下高校图书馆的发展新思路。     

发达地区农村外来劳动力的信息需求研究

发达地区农村外来劳动力是新兴的弱势群体,应对其给予关注与研究。基于马斯洛需求层次理论,采用卡诺模型的问卷调研方法,调查农村外来劳动力对不同信息内容的需求程度,分析其信息需求程度低和信息需求存在差异的成因。指出应以基层农村政府部门为主,用工单位为辅,共同开展面向外来劳动力的信息服务;应基于农村外来劳动力的信息需求有针对性地提供信息服务;应制定适当的信息服务策略。     

新评价体系推动数字电路课程教学改革

介绍了高职学校在新理念下教学方法的改革,结合高职教育人才培养目标,以数字电路课堂教学为例建立新的教学评价体系并以此驱动教学过程,着重培养学生创新意识和教学过程中的主体性。     

科学语言和语言学习观视野下的"中式英语"

一般的中国英语学习者认为,Chinglish("中式英语")是一个贬义词,但从正确的语言和语言学习观来看,"中式英语"只是在特定的语境中才含有某种令人不快的意思。就本质而言,"中式英语"并无褒贬色彩,因为它仅仅反映了一个语言学习和使用的客观事实。事实上,随着我国经济、政治和文化影响力的不断提升,外国人可以理解的"中式英语"不仅被广泛接受,而且在国际交流中发挥着独特的作用。