With the available technological tools, fans are able to access sport products regardless of geographic proximity. Through technology, fans can follow sports teams from other…
Abstract
Purpose
With the available technological tools, fans are able to access sport products regardless of geographic proximity. Through technology, fans can follow sports teams from other countries. In contrast to previous research focused on the local fan, in this paper we report on a study of a group of distant fans – Chinese National Basketball Association (NBA) fans – as the focal object. The study was guided by three questions: RQ1: what motives drive a distant fan’s involvement with their favorite NBA team? RQ2: are there differences in the motives associated with the different stages of psychological connection among distant fans? RQ3: are there differences in the amount of media consumption at the different stages of psychological connection? The paper aims to discuss these issues.
Design/methodology/approach
An online survey was distributed to consumers of a Chinese sports message board to assess the motives of distant fans (n=281) following teams in the NBA, and strength of psychological connection to the NBA based on the psychological continuum model (PCM).
Findings
There were significant differences in the motives for following a distant NBA team among the respondents at different stages of psychological connection. Significant differences were also found among Chinese NBA fans at the respective stages regarding media consumption.
Originality/value
This study contributes to the advancement of knowledge regarding sport fandom. It is one of the first studies to include an assessment of the sport consumption motives of distant fans, more specifically, motives influencing Chinese fans’ consumption of the NBA. Utilizing the PCM allows for the segmentation of a specific fan population and to ascertain whether there are differences in the motives and behaviors associated with different stages of an individual’s psychological connection with a team.
Details
Keywords
Xiaoyan Zhang, Runtian Wang, Yingyu Zhao, Jun Zhang, Boyuan Zhang, Zhengcan Chen, Pu Liu, Zhenbin Chen, Chunli Liu and Xiaoming Li
This paper aims to evaluate the separation and purification characteristics of flavonoids from polygonum cuspidatum (PC) extracts by using macroporous adsorption resins (MAR…
Abstract
Purpose
This paper aims to evaluate the separation and purification characteristics of flavonoids from polygonum cuspidatum (PC) extracts by using macroporous adsorption resins (MAR) mixed bed to improve the utilization rate of flavonoids.
Design/methodology/approach
Taking the separation performance of flavonoids as an evaluation index, the best MAR were screened from 31 sorts of MAR and combined the best MAR to form a MAR mixed bed for adsorption and separation of flavonoids.
Findings
By studying the separation conditions that affect flavonoids, the results showed that resin LZ-72 has best separation and purification effect on flavonoids under the optimal adsorption and desorption conditions, the purity of the obtained flavonoid compound reaches 82.50%, 2.66 times of the initial extract, and the recovery rate reaches 89.70%. Theoretical research results have shown that the adsorption of flavonoids by MAR conforms to the pseudo-second-order kinetics and Freundlich models.
Practical implications
Because the flavonoids in PC have great medicinal value, the purpose of this work is to develop a method of separating and purifying flavonoids from PC, which will provide a certain foundation for the development of medicine.
Originality/value
This contribution provided a novel way to separate flavonoids from PC. Under the optimal conditions, the content of flavonoids in the product was increased 2.66-fold from 31.01% to 82.50%, and the recovery yield was 89.70%.
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Keywords
Xiang Zheng, Mingjie Li, Ze Wan and Yan Zhang
This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively…
Abstract
Purpose
This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents.
Design/methodology/approach
This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs.
Findings
The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist.
Originality/value
This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.