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1.
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   
2.
The business process outsourcing industry has got disrupted, first by the significant shift in value creation activities from the clients to the service providers, and second by pervasive digital penetration, resulting in the emergence of Digital Transformational Outsourcing (DTO). Service providers now play a more significant role, making their capabilities important. In the new context, service providers require a uniquely different set of dynamic capabilities to handle end-to-end business functions on behalf of their clients while delivering digital value propositions.We study 26 of the largest global business process outsourcing providers to conceptualise and identify six dynamic capabilities of service providers salient in the new context, i.e., consultative, orchestration, insights, network management, knowledge access, and standardisation. Interviews conducted with industry experts provided evidence in support of the identified dynamic capabilities. A novel firm capability dataset was created using secondary data, and using fuzzy-set Qualitative Comparative Analysis (fsQCA), we identify configurations for high and low performance and find them to vary by the firm's broad/narrow scope.  相似文献   
3.
Semantic knowledge accumulates through explicit means and productive processes (e.g., analogy). These means work in concert when information explicitly acquired in separate episodes is integrated, and the integrated representation is used to self-derive new knowledge. We tested whether (a) self-derivation through memory integration extends beyond general information to science content, (b) self-derived information is retained, and (c) details of explicit learning episodes are retained. Testing was in second-grade classrooms (children 7–9 years). Children self-derived new knowledge; performance did not differ for general knowledge (Experiment 1) and science curriculum facts (Experiment 2). In Experiment 1, children retained self-derived knowledge over one week. In Experiment 2, children remembered details of the learning episodes that gave rise to self-derived knowledge; performance suggests that memory integration is dependent on explicit prompts. The findings support nomination of self-derivation through memory integration as a model for accumulation of semantic knowledge and inform the processes involved.  相似文献   
4.
加快体育强国建设已成为一项国策,研究如何提高和建设可持续发展性的体育产业经济以解决人民日益增长的美好体育生活需要和不平衡不充分的发展之间的矛盾对建设体育强国具有重要意义。采用哲学辩证理论分析体育产业经济对体育强国构建的重要性,统计分析目前我国体育产业经济发展现状及其与发达国家的差距,结合十九大新时代背景下给出未来体育产业经济发展策略以期寻求为构建体育强国给出一些指导意见。认为:体育经济是体育强国的重要基石;开展全民健身运动、优化体育产业结构、政府政策导向市场化、跨产业融合增加与其他产业的结合度对构建体育强国具有重要的意义。  相似文献   
5.
Distant supervision (DS) has the advantage of automatically generating large amounts of labelled training data and has been widely used for relation extraction. However, there are usually many wrong labels in the automatically labelled data in distant supervision (Riedel, Yao, & McCallum, 2010). This paper presents a novel method to reduce the wrong labels. The proposed method uses the semantic Jaccard with word embedding to measure the semantic similarity between the relation phrase in the knowledge base and the dependency phrases between two entities in a sentence to filter the wrong labels. In the process of reducing wrong labels, the semantic Jaccard algorithm selects a core dependency phrase to represent the candidate relation in a sentence, which can capture features for relation classification and avoid the negative impact from irrelevant term sequences that previous neural network models of relation extraction often suffer. In the process of relation classification, the core dependency phrases are also used as the input of a convolutional neural network (CNN) for relation classification. The experimental results show that compared with the methods using original DS data, the methods using filtered DS data performed much better in relation extraction. It indicates that the semantic similarity based method is effective in reducing wrong labels. The relation extraction performance of the CNN model using the core dependency phrases as input is the best of all, which indicates that using the core dependency phrases as input of CNN is enough to capture the features for relation classification and could avoid negative impact from irrelevant terms.  相似文献   
6.
ABSTRACT

The basic aim of this paper is to discuss the concept ‘Knowledge Democracy’ (KD) and what it can mean in the school context, its implications on knowledge production and dissemination and on the educational practices. We try to enrich this discussion by presenting action research projects to provide case studies of how thinking about KD can reshape educational practice. We consider that the discussion on KD has to be enriched as the concept seems very promising with good prospects towards school’s democratization. On the other hand, as it is quite new, it can encompass internal contradictions that can cause problems at the level of practice. So, we consider very important any contribution to this discussion not as another theoretical sample of the debate on the ‘politics of knowledge’, but because any improvement at the thinking of the issue can be reflected on school practices. Any challenge to traditional politics of knowledge can lead to a deeper understanding of the world of schooling and to transformations through new discourses and new approaches to teaching and learning in school.  相似文献   
7.
[目的/意义]以人文学者为研究对象,划分其数字能力域类别,构建人文学者用于学术研究的数字能力框架,用以探究当前我国人文学者的数字能力现状和存在问题。[方法/过程]按文史哲、语言、法律;艺术、音乐、传媒;图书馆学、档案学、博物馆学;人类学、政治学、社会学4大学科分类对国内203名相关人文学者开展问卷调查,并对问卷结果进行因子分析、T检验、单因素ANOVA分析。[结果/结论]为提高人文学者的数字能力,从人文学者开展学术研究的一般过程:前期基本信息能力、中期数字技术运用能力、末期交流共享能力三方面提出建议,为今后人文学者如何更好地开展学术活动、图书馆相应学科服务能力的升级、数字人文平台推动人文研究的发展等方面提供一定参考。  相似文献   
8.
采用问卷调查和数理统计方法,研究了不同收入的居民对体育消费结构和体育消费需求的影响。结果表明,随着居民收入的增加,各类体育消费都呈现上升趋势,实物型体育消费增长速度变慢,观赏型体育消费和健身型体育消费增长速度变快,当居民年收入在10万以上时,观赏型体育消费和健身型体育消费开始急剧增加。制约体育消费需求的主要因素是居民的收入、体育消费的价格、体育消费结构和居民的可支配时间。  相似文献   
9.
[目的/意义]提出一个药物不良反应本体的半自动构建方法,构建的细粒度药物不良反应本体为利用社交媒体挖掘潜在的药物不良反应信号提供语义资源库。[方法/过程]首先,采用业务层次和语言层次相分离的设计理念,将用户在社交媒体中评论的药物不良反应表示成"对象要素-属性要素-描述概念"的形式。细粒度体现在社交媒体用户对药物同一不良反应描述概念表达的多样性上。然后,基于深度学习的思想,利用基于word2vec的描述概念候选词抽取算法自动地抽取出更多的描述概念候选词构建本体。[结果/结论]以糖尿病药物的建模实例表明,提出的细粒度药物不良反应本体的半自动构建方案,提高了本体构建的智能化水平,构建的细粒度药物不良反应本体为利用社交媒体挖掘潜在的药物不良反应信号提供语义资源库。  相似文献   
10.
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