面向区域创新与产业发展的信息服务实践研究——以中国科学院文献情报中心区域信息服务为例     

贾苹  闫亚飞  郭文姣  刘细文  张超  彭皓  杨雨寒  赵婉雨 《图书情报工作》2021,64(24):24-31

[目的/意义] 随着自主创新战略的提出，科技信息和科技情报在国家科技发展中的基础性作用日益受到重视，开展区域创新和经济发展的信息服务研究与实践，构建面向区域创新和经济发展的信息服务方法体系、实施方案，是十分必要的。[方法/过程] 通过对国内外文献情报机构服务区域创新和经济发展的实践调研，以及中国科学院文献情报中心在"十二五"和"十三五"期间面向省级科学院、中国科学院转化中心、地方政府、园区企业开展区域信息服务的整体设计和服务实践与案例分析，总结归纳中国科学院文献情报中心开展区域创新和经济发展知识服务的特色和成效。[结果/结论] 在实践的基础上提出图书馆面向区域创新和产业发展提供信息服务，进一步拓展了图书馆的服务领域，是图书馆发展的一个生长点，并将在服务内容与服务方式上不断发展完善。  相似文献   

Rethinking participation in the Aarhus as European Capital of Culture 2017 project     

Leila Jancovich  Louise Ejgod Hansen 《Cultural Trends》2018,27(3):173-186

This paper examines the relationship between cultural participation and regional development with reference to the European Capital of Culture in 2017. From the bidding stage, Aarhus 2017 claimed it put “participation” at the heart of its strategic plans, through consultation at roadshows and exhibitions. In addition, it aspired to use culture as a catalyst for development not only in the city of Aarhus but across the region of Central Denmark. This paper, therefore, examines how participation is defined and implemented to address regional development in the Aarhus 2017 process through textual analysis of documentation from Aarhus 2017 and delivery partners as well as over 20 interviews with managers and participants involved in a range of 2017 projects. The paper argues against the common prioritisation of urban and professional cultural institutions and makes the case for decentralised cultural provision that supports both amateurs and professionals through a regional networked structure.  相似文献   

中国武术节与中国地域武术的共生及协同发展研究     

李源  闫民  梁勤超 《首都体育学院学报》2020,(2):146-150

运用文献研究法等,从共生理论视角,分析中国武术节与中国地域武术的共生关系及协同发展路径。在当前举办的中国武术节中,存在3个共生单元:武术节、主办方与地域武术,这三者之间形成了3种不同的共生关系。其中:中国武术节与主办方、中国武术节与中国地域武术形成了"间歇共生组织"和"对称互惠共生行为";而中国地域武术与主办方则形成了"间歇共生组织"和"非对称互惠共生行为"。要实现中国武术节与中国地域武术之间的协同发展,需加强中国武术节节庆制度建设;深化中国武术节与中国地域武术的关联;促进中国地域武术的传承与发展。  相似文献   

Ancient Mural Classification Method Based on Improved AlexNet Network     

Jianfang Cao  Hongyan Cui  Qi Zhang  Zibang Zhang 《文物保护研究》2020,65(7):411-423

ABSTRACT

As an important part of art and culture, ancient murals depict a variety of different artistic images, and these individual images have important research value. For research purposes, it is often important to first determine the type of objects represented in a painting. However, the mural painting environment makes datasets difficult to collect, and long-term exposure leads to underlying features that are not distinct, which makes this task challenging. This study proposes a convolutional neural network model based on the classic AlexNet network model and combines it with feature fusion to automatically classify ancient mural images. Due to the lack of large-scale mural datasets, the model first expands the dataset by applying image enhancement algorithms such as scaling, brightness conversion, noise addition, and flipping; then, it extracts the underlying features (such as fresco edges) shared by the first stage of a dual channel structure. Subsequently, a second-stage deep abstraction is conducted on the features extracted by the first stage using a two-channel network, each of which has a different structure. The obtained characteristics from both channels are merged, and a loss function is constructed to obtain the classification result. This approach improves the model's robustness and feature expression ability. The model achieves an accuracy of 84.24%, a recall rate of 84.15%, and an F1-measure of 84.13% when applied to a constructed mural image dataset. Compared with the AlexNet model and other improved convolutional neural network models, the proposed model improves each evaluation index by approximately 5%, verifying the rationality and effectiveness of the model for automatic mural image classification. The mural classification model proposed in this paper comprehensively considers the influences of network width and depth and can extract rich details from mural images from multiple local channels. An effective classification method could help researchers manage and protect mural images in an orderly fashion and quickly and effectively search for target images in a digital mural library based on a specified image category, aiding mural condition monitoring and restoration efforts as well as archaeological and art historical research.  相似文献   

图书馆为区域服务的定位分析与选择     

李东来  李晓辉  何艳 《图书情报工作》2020,64(1):43-49

[目的/意义]梳理图书馆与区域的关系,不以简单的服务与被服务进行限定,而从两者包含与互动来认识图书馆为区域服务。[方法/过程]图书馆为区域服务应该从环境与定位入手,重新分析认识图书馆社会职责、重点任务、服务工作内容。[结果/结论]图书馆是区域的组成部分,应以主体意识来发展自己,完善区域构成。图书馆应遵循定位,选准重点建设,筑牢专业的服务基础,为区域的政府决策、科研开发、产业经济、民众生活等提供信息服务。  相似文献   

幼儿园区域活动的多元构建策略探研     

林娜 《成才之路》2020,(9):98-99

区域活动是幼儿园一日活动中重要的教育形式之一,对幼儿的成长有重要作用。教师要根据幼儿发展需求和主题教育目标,对区域教学活动进行改进,在综合了解教情、学情的基础上,激发幼儿学习探索积极性,激活课堂教学活力因子,为趣味课堂的构建奠定基础。  相似文献   

区域性国际体育组织及“一带一路”沿线国家和地区体育组织构建     

马家鑫  王子朴 《中国体育科技》2020,(6):83-90

区域性国际体育组织以其多样性和复杂性的存在,成为了国际体育活动乃至社会经济文化活动中的重要组成部分。结合区域性国际体育组织的发展历史经验和启示,对比归纳出影响此类体育组织发展的8方面因素,以此衡量构建"一带一路"沿线国家和地区体育组织的利弊条件。"一带一路"沿线国家和地区体育组织联盟的构想已具备现实基础,需要消除意识形态壁垒,打造以"一带一路"倡议为纽带的体育联盟,以由局部到整体的模式构建起"一带一路"沿线国家和地区体育组织。  相似文献   

基于语料库的动态词群建构     

冯文贺 《河南科技学院学报》2014,(9):47-50

提出一个以大规模语料库为资源提取材料,以词汇集为语义成分表达方式的动态词群建构方法,其维度特征值的提取不但具有客观性,而且操作简易。维度特征值用词汇集的方式表示特征取值范围,可以避免传统的义素概括性过强、词汇个性表现不足的缺陷。这种方法有利于面向应用的大规模动态词群的建构。  相似文献   

财贸高职人才定位下的财贸文书写作课程项目教学体系特征研究     

黄小京 《中国现代教育装备》2011,(9):120-122

财贸高职人才面向的是服务业岗位,其岗位特点是工作对象和工作环境的多变性,因此要求财贸人才具备责任感、严谨的作风、创新的能力等多方面的素养。财贸文书写作课程是一门培养综合素养的课程,改变传统的教学模式,建立符合财贸高职人才定位的项目教学新体系,是课程改革大方向。  相似文献   

The Stylistic Features of Business English Writing     

高森  谷青松 《读与写:教育教学刊》2011,(9):5-6

In this paper,it describes the stylistic feature of business English writing and points out that it owns five characters: plainness,clearness,conciseness,formalness,courtesy.  相似文献