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With the increasing popularity of eSports, tourism marketers and scholars are particularly interested in the spillover effects of large sporting events, as well as the motivation to attend them. Using a demand-driven model, this study explores the intra- and inter-regional agglomeration economics of public and private investment in eSports events on the entire industry. This research focuses on the Pangyo Techno Valley in Gyeonggi province, which South Korea has developed into the most innovative IT cluster hub. This research defines the ecosystem of eSports events tourism, which includes electronics, communication and broadcasting, entertainment, and tour-related businesses. Moreover, the findings reveal that the eSports events sector has a relatively high ripple effect on the wholesale and retail trade, as well as food products and beverage industries. In terms of regional agglomeration externalities, this study presents empirical evidence on the spillover economic effect of the eSports events ecosystem. When designing and implementing smart tourism-related regulations, policymakers must take eSports events ecosystems into account.  相似文献   
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[目的/意义]在当前政府职能转变的背景下,政府与社会组织合作提供公共图书馆服务是公共图书馆管理体制改革的有效措施,也是公共图书馆事业发展的重要趋势。研究政府与社会组织的合作关系,不仅能够丰富相关理论成果,而且能为公共图书馆服务供给政社合作的发展提供参考。[目的/意义]通过文献调研、网络调研与实地调研相结合,论述公共图书馆服务供给政社合作关系的概念及特征,对公共图书馆服务供给政社合作关系中各主体的角色、政社合作关系的成因、政社合作关系的类型及形成过程进行深入分析。在此基础之上,提出公共图书馆服务供给政社合作关系可持续发展的对策。[结果/结论]良好合作关系的建立需要端正合作动机,完善合作制度,规范合作行为。  相似文献   
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利用国产GF-1卫星影像,以南京市为例,采用面向对象技术对旅游用地信息进行专题提取,研发出基于遥感手段的旅游用地信息提取方法和流程。研究结果如下:1)GF-1夏季影像4个图层(红、绿、蓝和近红外波段)方差的平均值(VI-Summer)是识别旅游用地的有效指标。2)旅游用地提取的制图精度和用户精度分别为83.33%和73.53%,表明基于GF-1卫星影像和面向对象技术的方法能够对旅游用地进行有效识别和监测。3)南京市的旅游用地总面积为137.34 km2。4)在空间分布上,旅游用地主要集中在长江以南地区,尤其是鼓楼区、雨花台区、建邺区、玄武区和秦淮区及其附近;而长江以北(江北)地区相对稀疏。本研究结果可为利用GF-1卫星影像快速有效地监管旅游用地提供技术支撑。  相似文献   
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学习团队协作信息搜索的共享心智模型研究   总被引:1,自引:0,他引:1  
[目的/意义] 对协作信息搜索进行深入研究,为专业化协作信息搜索系统平台建设优化等提供启发和借鉴。[方法/过程] 聚焦于学习团队的信息搜索行为,以高校学生为研究样本,以共享心智模型为切入点,采用扎根理论研究方法,探讨协作信息搜索中团队共享心智模型建构过程。[结果/结论] 识别出四大核心环节——个体感知与探索、团队任务解析、团队信息收集和团队信息整合,并理清各环节的认知活动与共享心智模型内容要素。  相似文献   
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The purpose of this study is to explore the factors that prompt askers to switch from free to paid social question-and-answer (SQA) services. Prior studies have investigated users’ motivations and participation in free and paid SQA services; however, little attention has been paid to askers’ switching behavior. We empirically analyzed the content of qualitative interviews from 64 askers on a well-known SQA platform in China. Based on the push-pull-mooring framework, we identified and classified factors that influenced askers’ to switch from free to paid Q&A services, using the critical incident technique, after which we calculated the entropy weights of the 16 subcategories before and after the switch, using the entropy weight method. The findings suggest that askers’ switching behavior was influenced by push factors (i.e., dissatisfaction with the free SQA service), pull factors (i.e., satisfaction with the paid SQA service), and mooring factors (i.e., social factors, personal factors, situational factors). Moreover, the findings show that the effects of these factors vary significantly before and after a switch. Dissatisfaction with the quality of information from the free SQA service would influence users before a switch, whereas satisfaction with the quality of information from the paid SQA service would influence them after a switch. In terms of mooring factors, the effects of social and personal factors on askers’ switching behavior, especially subjective norms and cognitive lock-in, turn out to be less significant after a switch, whereas the effect of trust is more significant. Besides, the effects of situational factors are more or less the same before and after a switch. To the best of our knowledge, this paper is one of the first attempts to explore factors that affect askers’ switching behavior and to shed light on the managerial strategies of paid SQA services.  相似文献   
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In this article a framework for the generation of a computationally fast surrogate model for district heating networks is presented. An appropriate model is given by in an index-1 hyperbolic, differential algebraic equation quadratic in state, exhibiting several hundred of outputs to be approximated. We show the existence of a global energy matrix which fulfills the Lyapunov inequality ensuring stability of the reduced model. By considering algebraic variables as parameters of the dynamical transport, a time varying (LTV) problem has to be reduced. We present a scheme to efficiently combine linear reductions to a global surrogate model using a greedy strategy in the frequency domain. The numerical effectiveness of the scheme is demonstrated at different, existing, large scale networks.  相似文献   
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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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通过对AECT2010国际年会主旨学术报告主题的解读,揭示了学习科学研究新的战略支点——赛博学习,阐述了赛博学习新的技术基础——赛博基础设施和思想方法——控制论与复杂性科学,总结了当代学习研究之新力量学习科学崛起的五大成功之道。在对学习科学与教育技术携手共进之艰难旅程进行回顾的基础上,展望了二者以赛博基础设施新平台为基础,以赛博学习为战略支点在联合中走向变革的光明前景。  相似文献   
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