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91.
Due to the harmful impact of fabricated information on social media, many rumor verification techniques have been introduced in recent years. Advanced techniques like multi-task learning (MTL), shared-private models suffer from many strategic limitations that restrict their capability of veracity identification on social media. These models are often reliant on multiple tasks for the primary targeted objective. Even the most recent deep neural network (DNN) models like VRoC, Hierarchical-PSV, StA-HiTPLAN etc. based on VAE, GCN, Transformer respectively with improved modification are able to perform good on veracity identification task but with the help of additional auxiliary information, mostly. However, their rise is still not substantial with respect to the proposed model even though the proposed model is not using any additional information. To come up with an improved DNN model architecture, we introduce globally Discrete Attention Representations from Transformers (gDART). Discrete-Attention mechanism in gDART is capable of capturing multifarious correlations veiled among the sequence of words which existing DNN models including Transformer often overlook. Our proposed framework uses a Branch-CoRR Attention Network to extract highly informative features in branches, and employs Feature Fusion Network Component to identify deep embedded features and use them to make enhanced identification of veracity of an unverified claim. Moreover, to achieve its goal, gDART is not dependent on any costly auxiliary resource but on an unsupervised learning process. Extensive experiments reveal that gDART marks a considerable performance gain in veracity identification task over state-of-the-art models on two real world rumor datasets. gDART reports a gain of 36.76%, 40.85% on standard benchmark metrics.  相似文献   
92.
We want physics specialized high school and college students to think like physicists, and this involves an understanding of the scientific methods of inquiry and the ability to use these methods in their own investigations. In order to do that, students have to be made aware that no experimental result has any physical meaning unless an estimate of the uncertainty or precision is assigned to it. In this paper, we describe two simple experiments in which high school and college students measure physical constants, and make an easy analysis of their experimental data by applying the tools offered by microcomputers.  相似文献   
93.
以现代远程教育理论为指导,根据蕉岭广播电视大学三年来实施“人才培养模式改革和开放教育”试点项目的实践和体会,研究探索山区电大教师教育教学观念转变这个课题,找出转变途径和经验标准。  相似文献   
94.
指导语对解决四卡问题影响的实验研究   总被引:2,自引:0,他引:2  
采用两种要求不同的指导语,对236名在校大学生进行命题检验的实验研究,考察不同的指导语对学生推理时采用思维策略及解决四卡问题效率的影响。结果表明,意义明确单一的证伪指导语有利于四卡问题的解决。同时本研究还初步揭示出匹配偏向与证真偏向的内在实质,都属于人解决问题过程中心理定势的范畴。  相似文献   
95.
指纹识别技术研究进展   总被引:2,自引:0,他引:2  
根据指纹识别技术的科学意义、应用前景和研究现状,提出了目前在该领域存在的问题及解决对策:利用热成像原理采集指纹图像、恢复残缺的指纹图像、细化指纹分类和简化匹配算法。  相似文献   
96.
教育电影作为"五四"运动时期兴起的一种教育工具文体和教育实施方式,在"开民智"的时代主题之下,以其"寓教于乐"的教育形式与先进的技术手段,成为社会教育的一大利器,催生了早期电化教育的萌生和发展。文章通过检索查阅相关研究文献,挖掘整理散落的零星史料,去伪存真,鉴别求证,进而形成较为清晰、完整的历史图景,以佐证江苏是我国电化教育的发源地、江苏在我国电化教育发展史上贡献了多个"第一"、江苏在教育电影的创立和推进方面做出了创造性的贡献,从而继承和发扬我国电教先驱的历史智慧,为当下教育技术的发展提供借鉴。  相似文献   
97.
领主属宾句是汉语学界争议的句型之一,文章首先对已有研究中存在的两大问题进行分析,并得出结论:领有名词是句子的话题,不是主语;领有短语中的"的"字并没有无理由的消失,而是隐现在句子中。其次在最简方案框架下,以CP分裂假说为基础,通过特征核查操作,对领主属宾句及相关句型提出了统一的句法推导分析。  相似文献   
98.
叶玉森考释古文字的方法主要有以下六种:(一)注重字形分析,特别是据偏旁考察释字;(二)注重从辞例文意考察释字;(三)注重与其他古文字的比较释字;(四)注重从甲骨文的初形溯义,通过理解古人造字意图进行释字;(五)注重从甲骨文本身的谐声系统出发,利用古音学知识释字;(六)注重分析甲骨文中的合文、析文、倒书释字。叶玉森的甲骨文研究对后来人们系统提出古文字的考释方法,产生过一定的影响。  相似文献   
99.
从实施的角度看,职业技能鉴定与高职课程改革密不可分.课程改革必须与职业技能鉴定有效对接。在课程设置上紧密围绕培养目标,注重学生职业能力的培养;在课程改革上要基于职业岗位需要,基于职业标准,要继续加大校企合作,依托企业办学;建设一支优秀的教师团队。  相似文献   
100.
Abstract

An adaptation of the previously developed Exercise and Self-Esteem Model (Sonstroem &; Morgan, 1989) was tested longitudinally with 93 male interscholastic swimmers from nine high schools who were evaluated at pre-, mid-, and postseason. Swimmers completed three self-perception scales that ranged from evaluations of specific swim skills (SKILL) through broader perceived physical competence (PC) to global self-esteem (SE). Performance scores (PERF) were calculated across events by standardizing swim times to a mean of 0 and a standard deviation of 1. Structural modeling analysis across the three time waves indicated an excellent data fit(χ2 = 25.46, p > .15). The model was able to explain 84, 83, and 80% of PC, SKILL, and PERF, respectively, at the third testing period. Swim improvement tended to be small (median change = 2.9%). Relationships among variables at each testing period and among the same variables at different testing periods were large and as hypothesized. Several significant relationships occurred between different variables across different testing periods. These were not extinguished when social desirability was added to the model. Social desirability failed to significantly influence subsequent measures of any model variable.  相似文献   
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