Directed collaboration patterns in funded teams: A perspective of knowledge flow     

《Information processing & management》2023,60(2):103237

Collaborations in funded teams are essential for understanding funded research and funding policies, although of high interest, are still not fully understood. This study aims to investigate directed collaboration patterns from the perspective of the knowledge flow, which is measured based on the academic age. To this end, we proposed a project-based team identification approach, which gives particular attention to funded teams. The method is applicable to other funding systems. Based on identified scientific teams, we detected recurring and significant subgraph patterns, known as network motifs, and under-represented patterns, known as anti-motifs. We found commonly occurred motifs and anti-motifs are remarkably characterized by different structures matching certain functions in knowledge exchanges. Collaboration patterns represented by motifs favor hierarchical structures, supporting intensive interactions across academic generations. Anti-motifs are more likely to show chain-like structures, hindering potentially various knowledge activities, and are thus seldom found in real collaboration networks. These findings provide new insights into the understanding of funded collaborations and also the funding system. Meanwhile, our findings are helpful for researchers, the public and policymakers to gain knowledge on research(ers) evolution, particularly in terms of primordial collaboration patterns.  相似文献   

Rare-aware attention network for image–text matching     

《Information processing & management》2023,60(3):103280

Image and text matching bridges visual and textual modality differences and plays a considerable role in cross-modal retrieval. Much progress has been achieved through semantic representation and alignment. However, the distribution of multimedia data is severely unbalanced and contains many low-frequency occurrences, which are often ignored and cause performance degradation, i.e., the long-tail effect. In this work, we propose a novel rare-aware attention network (RAAN), which explores and exploits textual rare content for tackling the long-tail effect of image and text matching. Specifically, we first design a rare-aware mining module, which contains global prior information construction and rare fragment detector for modeling the characteristic of rare content. Then, the rare attention matching utilizes prior information as attention to guide the representation enhancement of rare content and introduces the rareness representation to strengthen the similarity calculation. Finally, we design prior information loss to optimize the model together with the triplet loss. We perform quantitative and qualitative experiments on two large-scale databases and achieve leading performance. In particular, we conduct 0-shot test for rare content and improve rSum by 21.0 and 41.5 on Flickr30K (155,000 image and text pairs) and MSCOCO (616,435 image and text pairs), demonstrating the effectiveness of the proposed method for the long-tail effect.  相似文献   

公共文化服务大数据集成架构设计研究   总被引：1，自引：0，他引：1  

化柏林  赵东在  申泳国 《图书情报工作》2020,64(10):3-11

[目的/意义] 针对当前各图书馆、文化馆等公共文化服务机构的多源异构数据，设计出一套行之有效的集成架构。[方法/过程] 在充分分析公共文化大数据资源的基础上，对公共文化服务大数据的类型与分布进行分析，结合公共文化服务大数据的应用场景，设计公共文化大数据集成的架构。[结果/结论] 提出一个由数据来源层、系统集成层、数据融合层、存储层、应用层五个层次构成的公共文化服务大数据集成架构，并对其中的采集、存储等关键技术进行研究。  相似文献   

困境与应对:聚焦新型冠状病毒肺炎疫情对体育事业的影响     

钟秉枢  黄志剑  王凯  车冰清  宋昱  刘旭东  张晴  钞蕤 《体育学研究》2020,(2):9-33,40

2019-2020年之交,我国暴发新型冠状病毒肺炎疫情(下文简称“新冠肺炎疫情”)。新冠肺炎疫情给国家各项事业的正常运行带来了严峻挑战,为打赢这场新冠肺炎疫情攻坚战,全国科技工作者纷纷从各自不同的领域为疫情防控贡献着自己的力量。体育事业作为国民事业的重要组成部分,如何积极应对新冠肺炎疫情给各项体育事业带来的冲击,深刻思考新冠肺炎疫情背景下各项体育事业的发展路径,是体育事业健康发展的必然诉求,也是体育科技工作的应然使命。学者当以天下苍生为己任,为国家出谋,为社会担当,为人民谋福。体育学术期刊亦须做好学术担当,肩负起应有的使命与责任,传播体育科技工作者针对此次疫情所开展的社会服务和智慧贡献,探究体育事业逆疫发展之道。为此,《体育学研究》编辑部从开展征稿活动的50余篇来稿中,聚焦群众体育、竞技体育和体育产业等领域,对钟秉枢、黄志剑、王凯、车冰清、宋昱等体育专家及青年学者的观点和思考进行集成,形成了《困境与应对:聚焦新型冠状病毒肺炎疫情对体育事业的影响》一文。以期为疫情的科学防控和推动体育事业健康发展提供理论和实践参考。  相似文献   

体医融合相关体育产业创新发展研究     

郑朝沙  符〓壮 《广州体育学院学报》2020,(1):36-38

体医融合是党和政府提出的健康中国国家战略的具体实施措施之一,它不仅为体育健康产业与医疗行业的结合指明了方向,而且也将促成一个新的行业,或者说是体育健康产业中的一个新的分支。体医融合需要实现体育运动促进健康过程的量化控制,实现医学治疗与运动锻炼的完美结合,因此它是新事物,需要从基础研究到管理、实施全方位的创新与构建。  相似文献   

基于文化自信视角探索我国体医融合之路     

韩金勇  何佳莉  马欢洪 《广州体育学院学报》2020,(1):52-55

体医融合是获得健康的根本法则之一,是民族健康强盛的必然要求。探索我国体医融合之路,必须基于文化自信,紧跟时代主旋律,借鉴传统体育和中医融合的历史经验及其启示。仔细体会传统体育中武术、养身体操等运动对体医融合的贡献,在学习借鉴传统体育和传统医学的基础上,探讨如何走出一条政府主导、社会协同、学校先行、法制健全的协同发展道路。研究认为体医融合试点践行中,可以在以下四个方面加大力度:制度保障,法规护航;培养人才,科学指导;学校为主,三教合一;媒介传播,课程参与。  相似文献   

国家治理现代化视域下我国体育智库的责任与担当     

杨涛 《河北体育学院学报》2020,34(6):50-55

党的十九届四中全会明确提出了“坚持和完善中国特色社会主义制度、推进国家治理体系和治理能力现代化的重大意义和总体要求”。在新的历史时期，我国体育智库的新使命在于推进体育强国、健康中国和体育治理现代化建设。基于此，采用文献资料法和逻辑分析法，从外部和内部两个角度，对我国体育智库的责任和担当进行深入探讨。认为体育智库对内要注重更新管理体制，完善运行机制，建设和优化人才培养体系；对外要通过科研成果转化实现体育产业高质量发展，重塑体育治理生态，提升国家体育文化软实力和国际体育地位硬实力，促进体育融合发展，最终服务于我国体育治理体系和治理能力现代化。  相似文献   

高校体育场馆对外开放突发事件的应急管理机制研究     

王骏  刘海荣  何宁宁  廖大伟 《沈阳体育学院学报》2020,(2):125-132

运用文献资料、实地调查等研究方法,对我国高校体育场馆对外开放突发事件应急管理现状进行调查分析。发现目前我国高校体育场馆对外开放过程中,存在缺乏突发事件应急预案的研制、对安全风险评估不足、缺乏急救设施的配置、场馆现场管理人员缺乏应急管理的培训与演练、场馆现场管理人员数量不足的问题。在高校体育场馆突发事件应急管理发展现状基础上,依托应急管理理论与应急救援理论,架构由突发事件识别与评估模块、决策系统模块、应急救助体系模块、应急预案选择模块、应急救援的执行模块所组成的我国高校体育场馆对外开放突发事件应急管理机制。建议:完善场馆管理规章制度,形成场馆对外开放突发事件应急长效管理机制;加强员工的应急管理理论培训与技能学习;制定各类应急预案并进行演练;保持突发事件应急救援稳定的对外联系畅通。  相似文献   

Knowledge-guided multi-granularity GCN for ABSA     

《Information processing & management》2023,60(2):103223

Aspect-based sentiment analysis aims to determine sentiment polarities toward specific aspect terms within the same sentence or document. Most recent studies adopted attention-based neural network models to implicitly connect aspect terms with context words. However, these studies were limited by insufficient interaction between aspect terms and opinion words, leading to poor performance on robustness test sets. In addition, we have found that robustness test sets create new sentences that interfere with the original information of a sentence, which often makes the text too long and leads to the problem of long-distance dependence. Simultaneously, these new sentences produce more non-target aspect terms, misleading the model because of the lack of relevant knowledge guidance. This study proposes a knowledge guided multi-granularity graph convolutional neural network (KMGCN) to solve these problems. The multi-granularity attention mechanism is designed to enhance the interaction between aspect terms and opinion words. To address the long-distance dependence, KMGCN uses a graph convolutional network that relies on a semantic map based on fine-tuning pre-trained models. In particular, KMGCN uses a mask mechanism guided by conceptual knowledge to encounter more aspect terms (including target and non-target aspect terms). Experiments are conducted on 12 SemEval-2014 variant benchmarking datasets, and the results demonstrated the effectiveness of the proposed framework.  相似文献   

How and why are educators using Instagram?     

《Teaching and Teacher Education》2020

Social media are commonplace in many educators’ lives, but their Instagram activities have received no prior attention in the empirical literature. We therefore created and disseminated a survey regarding educators’ Instagram use. Analyses of 841 responses suggested participants were generally intensive users of Instagram who engaged in the exchange of both professional knowledge and wisdom, as well as affective support. In addition to identifying benefits to Instagram use, some participants offered critiques of Instagram’s professional utility. We discuss the implications of these findings for educators’ work in a digital era and the future of research on educators’ social media activities.  相似文献