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2022 ◽  
Vol 30 (6) ◽  
pp. 1-21
Author(s):  
Lei Li ◽  
Shaojun Ma ◽  
Runqi Wang ◽  
Yiping Wang ◽  
Yilin Zheng

Abundant natural resources are the basis of urbanisation and industrialisation. Citizens are the key factor in promoting a sustainable supply of natural resources and the high-quality development of urban areas. This study focuses on the co-production behaviours of citizens regarding urban natural resource assets in the age of big data, and uses the latent Dirichlet allocation algorithm and the stepwise regression analysis method to evaluate citizens’ experiences and feelings related to the urban capitalisation of natural resources. Results show that, firstly, the machine learning algorithm based on natural language processing can effectively identify and deal with the demands of urban natural resource assets. Secondly, in the experience of urban natural resources, citizens pay more attention to the combination of history, culture, infrastructure and natural landscape. Unique natural resource can enhance citizens’ sense of participation. Finally, the scenery, entertainment and quality and value of urban natural resources are the influencing factors of citizens’ satisfaction.


2022 ◽  
Vol 167 ◽  
pp. 108518
Author(s):  
W.H. Ding ◽  
K. Wei ◽  
Z.M. Zhao ◽  
F. Cheng ◽  
P. Wang

2121 ◽  
Vol 7 (1) ◽  
pp. 9-16
Author(s):  
Mansoureh Karimollahi ◽  
◽  
Zahra Tazakori ◽  
Roghiyeh Falahtabar ◽  
Mehdi Ajri-Khameslou ◽  
...  

Background: There are specific challenges regarding the perceptions of families of comatose patients in Intensive Care Units (ICUs). Identifying these perceptions may attract the cooperation of families with nurses and provide better care for patients. This study aimed to explore the perceptions of families of comatose patients in ICUs. Methods: This was a qualitative content-analysis study. Seventeen families with comatose patients were recruited by the purposive sampling technique. The necessary data were generated by semi-structured interviews, continued until data saturation, and concurrently analyzed by an inductive content analysis method. Results: Four main categories were manifested, including shock and disbelief, the effort for adaptation, exhaustion, and burnout, as well as hope and support. Conclusion: The obtained results signified the importance of nurses’ awareness concerning the family members’ perceptions of their comatose patient status in ICUs. The relevant findings reflected the need for nurses to pay attention to the feelings and emotions of the families of these patients.


2022 ◽  
Vol 8 (1) ◽  
pp. 43-58
Author(s):  
Ayşe Aslı Sezgin

The aim of this study is to examine the negative attitude and prejudice of the media reflected in news articles about the relationship between ‘online games and suicidal youth’. This study analyzed the content of the news and the language of the media used for young people who committed suicide related to playing Blue Whale Challenge in different social settings. In this study, news articles in three different countries were examined with the content analysis method, using the content descriptors of Entertainment Software Rating Board (ESRB). In the news concerning young people who committed suicide and used this game, it was clearly observed that sources of influence involved attitudes towards online games, developed in part through the messages of the media, and that social conditions, including generational experiences, were influential in creating the media messages. Keywords: media panic, violence, online games, Blue Whale Challenge


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