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.     

高中生思想政治课学习归因现状的调查与分析

归因理论认为,人们对自己或别人行为的归因会影响期望的改变和情感反应,从而影响后继行为的动机。教师可根据归因理论的有关知识,了解学生的归因特点,并通过归因训练,引导学生做出合理归因,从而激发学生的学习动机,提高学习行为的坚持性。调查发现,高中生在思想政治课学习中具有不良归因习惯、归因方式不恰当,影响学生思想政治课学习的动机,这一现实困境呼唤教师采取相应措施积极进行干预。     

基于证据推理的核心技术识别方法研究

通过对从美国专利商标局( The US Patent and Trademark Office,USPTO)网站中下载的某领域专利进行整理,得到初始统计数据。将USPTO专利子类作为技术节点,技术之间共现关系作为边,建立技术的共现网络,再利用复杂网络中的“k-核”分析方法对共现网络进行分析,进行技术筛选。提出技术识别的层次性评估指标,运用证据推理对筛选出的技术进行评估,选出核心技术。最后以激光切割技术为例,展示和验证了此方法。     

城市中年空巢女性心理健康影响因素研究

本研究探讨团体归属感、家庭亲密度对此群体心理健康水平的影响。方法采用症状自评量表（SCL-90）、社会团体归属感量表、家庭亲密度和适应性量表（FACESⅡ）对广东6个城市的239名城市中年空巢女性进行测查。结果显示,心理健康水平与家庭亲密度、社会团体归属感呈显著负相关（p<0.01）,社会团体归属感在家庭亲密度对心理健康的预测中起部分中介作用。结论提示以提高家庭亲密度、社会团体归属感为切入,多方面提出对策以提高其心理健康水平。     

危机情境中的决策信息流分析

动态变化的危机情境,使危机决策面临诸多不确定性,对决策信息流的认知与控制是有效决策的前提.本文在界定危机情境基础上,对危机决策信息流模型、特点和控制机制等问题进行了探讨.     

Surface superconductivity in the type II Weyl semimetal TaIrTe4

The search for unconventional superconductivity in Weyl semimetal materials is currently an exciting pursuit, since such superconducting phases could potentially be topologically non-trivial and host exotic Majorana modes. The layered material TaIrTe₄ is a newly predicted time-reversal invariant type II Weyl semimetal with the minimum number of Weyl points. Here, we report the discovery of surface superconductivity in Weyl semimetal TaIrTe₄. Our scanning tunneling microscopy/spectroscopy (STM/STS) visualizes Fermi arc surface states of TaIrTe₄ that are consistent with the previous angle-resolved photoemission spectroscopy results. By a systematic study based on STS at ultralow temperature, we observe uniform superconducting gaps on the sample surface. The superconductivity is further confirmed by electrical transport measurements at ultralow temperature, with an onset transition temperature (T_c) up to 1.54 K being observed. The normalized upper critical field h*(T/T_c) behavior and the stability of the superconductivity against the ferromagnet indicate that the discovered superconductivity is unconventional with the p-wave pairing. The systematic STS, and thickness- and angular-dependent transport measurements reveal that the detected superconductivity is quasi-1D and occurs in the surface states. The discovery of the surface superconductivity in TaIrTe₄ provides a new novel platform to explore topological superconductivity and Majorana modes.     

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.     

优化高校实验教学环节的探索

当今社会,谁能具有创新能力,并能有效地将创新成果作用于科技发展,那么谁就将成为新世纪的主导。提高大学生的创新精神和创新能力是时代的要求,也是人才培养工作的重心。不断优化实验教学,推进实验教学的改革和深化,是培养大学生创新精神和实践能力的重要途径。     

基于双MCU的数字磁通计设计

本文得到西南科技大学大学生创新基金项目的资助。本文主要是讲述一种基于双MCU的数字磁通计的设计方案,运用数字积分原理,并在磁通量测量的过程之中表现为无零漂且可以多量程切换等。通过实践,解决了数据快速采集、处理和显示之间速度不匹配的问题。     

学校定向运动教学的实践与探讨

通过对目前我国大中学校定向运动教学实践与发展状况的调查与分析,发现影响定向运动在学校体育教学中发展的因素主要来自于项目本身和客观条件两方面,对以上存在的问题提出解决对策和建议.