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1.
新时代,高等教育“内涵式”发展、“双一流”建设、“以本为本”等新要求,赋予了高校专业人才队伍建设新的内涵和外延。新时代加强高校专业人才队伍建设,必须紧紧围绕“立德树人”根本任务,将政治建设摆在首位,突出师德师风建设,牢牢抓住专业化的能力建设,切实提升育人水平,方能从容应对新矛盾、新挑战,出色完成新时代的新使命、新任务。  相似文献   
2.
[目的/意义] 灰色预测法可有效处理情报研究中广泛存在的小样本数据,通过对灰色预测法在情报研究中的应用情况进行梳理,总结其在应用过程中存在的不足,为灰色预测法在情报研究中的进一步应用提供参考。[方法/过程] 通过综述情报研究中涉及灰色预测法的相关文献,从数据选取、模型构建和解决的问题等方面对情报研究中灰色预测法的应用进行概述,总结当前情报研究中灰色预测法的应用所存在的问题,并提出改进建议。[结果/结论] 在方法应用上,已有研究主要采用数列灰预测,且模型集中在单变量灰色预测模型,根据预测对象不同,灰色预测法已经在包括期刊分析、图书馆运行管理、热点主题分析及科研机构评价方面得到了很好的应用,未来可根据预测对象特点及研究目标尝试不同的灰色预测方法,扩宽灰色预测法在其他方面的情报研究问题中的应用。  相似文献   
3.
The frequent occurrence of security incidents in ride-sharing is a challenge for the survival of IT-enabled ride-sharing platforms. Passengers’ protective behavior is an effective means to alleviate this issue, with benefits to both the passengers and the platforms. This study explores the mechanisms of passengers’ protective behavior in the ride-sharing context by combining protection motivation theory (PMT) and usage situation theory. We test our hypotheses using data (n = 346) collected from a field survey based on a real scenario. The findings reveal that PMT and usage situation theory work well to explain passengers’ protective behavior during ride-sharing. This study explains the motivation behind passengers’ protective behavior in the ride-sharing context, extends the contents of PMT by exploring its antecedents, and extends the contents of usage situation theory by introducing a new dimension. Our findings can help ride-sharing platforms take appropriate strategies to improve passengers’ protective behavior.  相似文献   
4.
回顾新中国70年来,武术专业教育和学科建设的发展历程,认为武术历经“技艺、项目、课程、专业”四个转变阶段,逐渐支撑起民族传统体育的学科建设,走出了一条从传统到现代,具有中国特色的发展道路。新时代赋予武术专业教育和学科建设全面发展的新机遇,应从文化自信的历史角度,审视和创新本学科的理论建设与实践;从“双一流”建设的评价标准出发,规划和促进学科建设、专业教育、项目发展的共同提高;从“健康中国”的总体战略出发,指导和引领学科建设、人才培养、项目推广的协调发展。  相似文献   
5.
分析大运河生态文化与美丽中国建设的相互关系,理清古老的大运河文化蕴含的丰富生态文明成果,将大运河生态文化作为推动美丽中国建设的源动力。不仅从上下联动、生态补偿、流域性平衡、可持续发展4个方面提出传承运河生态文化、构建美丽运河建设机制的建议,而且就以运河生态文化引领打造美丽运河三条走廊,提出具体的方法和路径:修复河岸环境,打造运河生态走廊;传承历史文脉,打造运河文化走廊;推进文旅融合,打造运河旅游走廊。不仅从理论上为大运河文化带建设与美丽中国建设寻找逻辑关系,而且从实践上为弘扬运河生态文化,推动美丽中国建设探索路径。  相似文献   
6.
Abstract

The Mystery Room is an educational escape room based on information literacy and applied to multiple audiences, including first-year students and library student employees. In this article, we explain how we developed the game, its theoretical underpinnings, and why it’s a flexible workshop for a variety of audiences.  相似文献   
7.
顶岗实习是实现高职人才培养目标的重要途径。鉴于当前高职顶岗实习中学校、学生及教师各层面都存在的问题,重新设计了顶岗实习的流程体系,通过校、企、师、生、家五方联动,构建了五途径保障实习岗位、两维度驱动实习成效、四层次规范实习管理、三主体强化实习评价的“五二四三”顶岗实习模式,实现学生、企业、教师、家长、导师和学校的六方共赢。  相似文献   
8.
In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published.  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.
Legal researchers, recruitment professionals, healthcare information professionals, and patent analysts all undertake work tasks where search forms a core part of their duties. In these instances, the search task is often complex and time-consuming and requires specialist expertise to identify relevant documents and insights within large domain-specific repositories and collections. Several studies have been made investigating the search practices of professionals such as these, but few have attempted to directly compare their professional practices and so it remains unclear to what extent insights and approaches from one domain can be applied to another. In this paper we describe the results of a survey of a purposive sample of 108 legal researchers, 64 recruitment professionals and 107 healthcare information professionals. Their responses are compared with results from a previous survey of 81 patent analysts. The survey investigated their search practices and preferences, the types of functionality they value, and their requirements for future information retrieval systems. The results reveal that these professions share many fundamental needs and face similar challenges. In particular a continuing preference to formulate queries as Boolean expressions, the need to manage, organise and re-use search strategies and results and an ambivalence toward the use of relevance ranking. The results stress the importance of recall and coverage for the healthcare and patent professionals, while precision and recency were more important to the legal and recruitment professionals. The results also highlight the need to ensure that search systems give confidence to the professional searcher and so trust, explainability and accountability remains a significant challenge when developing such systems. The findings suggest that translational research between the different areas could benefit professionals across domains.  相似文献   
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