Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Various features of indoor layout are individualized related to various reading types, which can lead to differences in reading state of users. To induce the best reading state of users is an important goal of library indoor layout, and is also the embodiment of the wisdom of library environmental services.[Method/process] Based on the literature research, the researcher analyzed the reading status indicators of users according to the theory of psychophysiology and self-efficacy. Then, in accordance with the Chinese and foreign literature, the researcher extracted five layout characteristics such as Unified Geometry, and conducted experiment by combining layout rule with nature, social science, planning, and unscheduled reading, measured reading efficacy, attention and emotional tendency data. Through SPSS statistical analysis method, the correlation between layout features and reading topics was found.[Result/conclusion] It is found that different reading areas have different layout characteristics, which can help users achieve better reading status. The result of study can be used as reference for the layout of library reading area, and can also be extended to all kinds environmental layout of nationwide reading.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] With the purpose of providing guidance for the establishment of corresponding library service strategy and service system, this paper made an investigation into the makers' knowledge demand.[Method/process] Based on the grounded theory, the authors obtained the data by the questionnaire, the field trips, the non-interventionist tracking observation and the in-depth interviews, and analyzed the data by SPSS and NVivo. In the end, this paper constructed the conceptual model of the makers' knowledge demand based on the analytical data results.[Result/conclusion] This paper finds that the motivation of maker's knowledge demand is driven by interest and competition, the characteristics of the maker's knowledge demand include active learning, preference for "informal learning", divergent thinking characteristics, close correlation with community needs, and cross-integration of multi-disciplinary knowledge, and the content of maker knowledge demand includes principle knowledge, experiential knowledge and knowledge situation. According to the findings, this paper puts forward the macro development strategy of serving the makers.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] User portrait marks the behavioral characteristics of academic groups, which provides basis for user identification, precise marketing of academic social platform and improvement of user experience during cold boot period.[Method/process] The public users behavior data is obtained and processed by using Python and R language. The model of user portrait is constructed from five dimensions:user basic attribute, positivity, authority, blog post influence and interest preference. The empirical study takes the blog users behavior data of Science Web as an example.[Result/conclusion] This paper proposes specific indicators and calculation methods to characterize the user characteristics of academic blogs, which shows the user portrait model has certain theoretical significance and application value for the management and operation of academic social platforms.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper takes humanities scholars as the research object, divides its digital competence categories, and constructs a digital competency framework for humanity scholars' academic research, through which it points out the problems existing in the digital competence development of Chinese humanities scholars.[Method/process] Questionnaire survey about 200 related humanity scholars from different four disciplines (Literature, History, Philosophy, Law; Art, Music, Media; LIS, Archives, Museology; Anthropology, Sociology, Politics)in China is conducted. Factor analysis, T test and ANOVA are used according to the questionnaire results.[Result/conclusion] Giving corresponding suggestions from three research contents:Early basic information ability, Middle digital technology application capability, and Final achievement communication and sharing capability. It provides some suggestions for humanity scholars about how to conduct academic activities, how to improves libraries' subject service ability, and how digital humanity centers develop academic research.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] From the perspective of customer satisfaction, the university research projects that have been carried out by academic libraries are sorted, and the key factors and the impact of the project are identify by the Kano model, so that the library can reasonably allocate resources, and improve service quality.[Method/process] With the basic theory of Kano model, combined with 985 colleges and universities library research support services project classification, it classifies research support services projects by designing Kano questionnaire survey, statistical analysis of survey data and satisfaction analysis four steps.[Result/conclusion] Four levels of scientific research support service projects are proposed, which are basic projects, expansion projects, featured projects and non-differentiated projects, providing an analysis method and suggestion for the selection of scientific research support service projects for university libraries of different scales.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Reading therapy is a way to preserve and restore physical and mental health through the study, discussion and comprehension of targeted literature. Nowadays, the increasing number of anxious people in China and the proposal of reading promotion make anxiety treatment, automatic emotion intervention and interest enhancement become important demands of library reading therapy. The paper aims to explore the use of biofeedback to train the correct mood of anxious people, and enhance fun and efficacy of the treatment. [Method/process] At the library of Jiangsu University, the researcher carried out the anxiety reading therapy, established the book medicine label portraits, and intervened and trained anxious people's emotional reactions automatically by biofeedback technology when they reading. [Result/conclusion] Comparing the data from SAS anxiety scale before and after, we can find that the curative effect of the testing group is obvious, and the three kinds of factor item have the difference of curative effect. Promotion application analysis shows that this kind of therapy in library is feasible.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper studies the influencing factors of health information acquisition of peasant workers in China, so as to provide basis for accurate health information service of peasant workers. Further, it can improve their health awareness, information acquisition ability and effectiveness of accurate service. [Method/process] Based on the grounded theory, 36 representative peasant workers were sampled and interviewed on their health status, awareness and information acquisition status. The obtained audio data were text-based and the text content was substantially coded, including open code, spindle code, selective code, respectively. Besides, the theoretical saturation was verified. [Result/conclusion] These studies indicate that the main factors which influence the peasant workers’ health information acquisition are individual factors, interpersonal factors, organizational factors, community and social factors. Moreover, the factors affecting peasant workers health information acquisition theory structure is built. Clarifying the influencing mechanism of each factor can better provide beneficial reference for the research and practice of accurate health information service for peasant workers.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] A good key technology identification method can provide better support for key technology identification, prediction and research and development at all levels. [Method/process] In this paper, a key technology identification method based on Bert-LDA was proposed, which combined BERT and LDA to make up for the lack of contextual semantic information in a single LDA topic model. An empirical study was carried out with agricultural robots as an example. Specifically, it included the following processes: ① Constructing BERT semantic feature vector and LDA topic feature vector based on Python, combining them in a high-dimensional space, and learning the low-dimensional latent space representation of the concatenated vector by using an autoencoder; ② In the potential space representation, K-means algorithm was used to realize semantic association clustering, and the effect diagram of two-dimensional clustering and key technology subject word cloud maps were drawn; ③ Determining key technologies; ④ In the field of agricultural robots, the effectiveness of this method was demonstrated by comparing with the results of TI patent analysis and the list of key generic technologies for agricultural equipments in the "Made in China 2025" technology roadmap for key areas. [Result/conclusion] The results show that the Bert-LDA model improves the coherence of topic clustering and the accuracy of fine-grained classification. With a good key technology identification accuracy and recall rate, there are good inclusiveness, compatibility and adaptability to the identified literature data sets of different databases and publishing types. It can be widely used to identify all kinds of key technologies.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] As the foundation of scientific research, theory plays an irreplaceable role in scientific research results. Statistical analysis of the application of theories in the doctoral dissertations of library science in China will reveal the general overview of the application of theories in current library science research and construct the theory of library science. The system has important theoretical and practical significance. [Method/process] Taking Chinese library science doctoral dissertation as a sample for theoretical extraction, using content analysis, information measurement, and visualization analysis methods, the frequency of theoretical applications, the relationship between theories and research topics, and the theoretical source disciplines are used for multi-angle statistical analysis. [Result/conclusion] There are many types of theories introduced in the doctoral dissertation, and the interdisciplinary nature is strong; the use of theoretical names is not standardized, and the same theories use multiple theoretical names; the application of theories introduced in the doctoral thesis is not high; library science research needs to focus on basic theoretical research; theoretical applications have strong characteristics of the times; information science related disciplines will play a leading role in library science research.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】借助深度学习理论, 解决传统特征选择方法容易导致特征项不明确、分类精度下降的问题。【方法】对中文新闻文本进行分类时, 使用降噪自动编码器构建一个深层网络来学习对文本的压缩及分布式的表示,并在网络最后一层采用SVM 算法将其分类到具体的类别中去。【结果】随着样本数目的增大, 分类准确率、召回率和F 值都在上升, 且比KNN 算法、BP 算法和SVM 算法取得了更优的分类效果, 平均分类准确率达到95%以上。【局限】数据量依然较小, 且并没有完全发挥深度学习并行处理大容量数据的优势。【结论】该方法能提高特征项提取的准确性, 并能提高分类效果。
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