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1.
共享经济行业可持续性评价的社会感知和客观绩效不一致将造成认知错位、投资误判和政策失效等结果。本文在线挖掘2017—2019年我国主要社交媒体上29 771条文本信息,并收集行业统计数据,综合测度共享经济行业的可持续性并比较其差异。研究发现:社会公众并不认为共享经济行业具有显著的总体可持续性,而且行业实际绩效展现的可持续性与社会大众认知截然不同。进一步发现:受限于主观认知能力,社会公众认为共享经济可持续性主要来自可观察到的行业外部经济和外部生态等维度,但客观绩效表明共享经济行业内部的经济和外部的技术优势才是其可持续性的重要支撑。此外,二者评价的差异在住宿与医疗等产能共享内部过程不易被大众观察的行业中最为突出。  相似文献   
2.
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   
3.
[目的/意义] 比较分析数据管理与数据治理差异与联系,为制定科学数据开放共享政策提供参考。[方法/过程] 运用比较分析法,解析数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域5个方面的异同,由此解析其对制定我国科学数据开放共享政策的启示。[结果/结论] 数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域上都有显著差异,但两者也有内在联系。数据治理是成功实施数据管理的关键。认清两者的关系有助于明晰目前我国科学数据管理政策的不足之处,为今后完善科学数据管理办法提供参考,从而规划与制定实用的科学数据开放共享细则。  相似文献   
4.
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   
5.
构建培育和践行社会主义核心价值观动力机制,有利于高校科学有效、深入持久地推进社会主义核心价值观教育,有利于实现立德树人的根本任务,有利于培育安定团结与和谐有序的办学育人环境。构建培育和践行社会主义核心价值观动力机制,应着力构建主体驱动机制,增强主体的主导力;构建客体认同机制,增强客体的受动力;构建动力保障机制,增强机制运行的可持续性。动力机制的构建应坚持可行性、科学性、创新性、权威性原则。  相似文献   
6.
In this article, we draw on a survey conducted with elite upcoming lawyers from all around the world to shed new light on the ethical acceptability of file sharing practices. Although file sharing is typically illegal, our findings show that lawyers overwhelmingly perceive it as an acceptable social practice. The main criterion used by lawyers to decide on the ethical acceptability of file sharing is whether or not the infringer derives any monetary benefits from it. Further, our findings show that lawyers in the public sector (including judiciary and academia) are even more tolerant of online copyright infringement than those in the private sector. Interestingly, our data suggests that this is largely the result of self-selection: lawyers who lean more on the side of broad disclosure and social sharing tend to orient themselves toward the public sector. Implications for the current state of the debate on the reform of copyright law are discussed.  相似文献   
7.
[目的/意义]为更全面地了解联合分析方法在个人信息隐私研究中的应用以及发现潜在的研究机会,为信息隐私保护的深入研究提供参考和借鉴,有必要对采用联合分析方法研究个人信息隐私的文献进行回顾总结。[方法/过程]研究个人信息隐私且采用联合分析方法的20篇文献被选出来,重点对这些文献的研究主题、采用的研究理论以及协同使用的其他研究方法进行了总结和分析。[结果/结论]结果发现:第一,现有相关研究主要集中在数据共享意愿和产品采纳两个方面;第二,这些文献很少采用用户隐私披露意向和行为研究中的相关理论来指导属性的选择和结果的解释;第三,联合分析与焦点小组访谈、聚类分析、问卷调查等方法相结合可以提供更多的理论和实践启示。  相似文献   
8.
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   
9.
Coopetition, i.e., cooperation between competing actors, has become a pervasive strategy for innovative firms. The primary focus of studies investigating coopetition centers on inter-firm relationships, highlighting the benefits, limits and configurational patterns of cooperative relationships between competing firms. Only a small, emerging group of studies seeks to extend the concept to the intra-firm level, stressing the existence and effects of competition and cooperation between units that are part of the same organization. This paper contributes to this latter group by investigating the effects of internal coopetition on knowledge and innovation sharing and highlighting the fundamental role of knowledge brokers in managing the resulting tensions. Based on a qualitative case study of the video game publisher Ubisoft, we stress how the tensions raised by internal coopetitive settings limit knowledge sharing between units, and we analyze the mechanisms through which the knowledge broker helps to overcome these limits. We identify three main functions of this knowledge broker that allow the promotion of knowledge and innovation transfer to occur between coopeting units: (1) protecting the unit’s competitive advantage by introducing a lagging principle in the transfer process, (2) reducing sharing costs by standardizing innovative solutions, and (3) enhancing awareness of and trust in innovative solutions by centralizing knowledge diffusion.  相似文献   
10.
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   
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