Can miners' social networks affect their safety commitment? A case study of Chinese coal mining enterprises

2022 ◽  
Vol 75 ◽  
pp. 102535
Shuai Han ◽  
Hong Chen ◽  
Ruyin Long ◽  
Izhar Mithal Jiskani
2006 ◽  
Vol 3 (1) ◽  
pp. 49-62 ◽  
Cynthia Werner ◽  
Holly R. Barcus

Inquiry into the causes and outcomes of transnational migration spans numerous disciplines, scales and methodological approaches.  Fewer studies focus on immobility.  Utilizing the Kazakh population of Mongolia as a case study, this paper considers how non-migrants view the economic and cultural costs of migrating.  We posit that three factors, including local place attachments specific to Mongolia, access to information about life in Kazakhstan and the importance of maintaining social networks in Mongolia, contribute substantially to their decision to not migrate. Our findings suggest that the decision to not migrate can be very strategic for non-migrants in highly transnational contexts.  

A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts

This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case study is on null models of food webs, discussing the specific constraints relevant to this application, and the topological features which may contribute to the stability of an ecosystem. The final case study is taken from molecular biology, discussing the importance of unbiased graph sampling when considering if motifs are over-represented in a protein–protein interaction network.

2016 ◽  
Vol 79 (3) ◽  
pp. 315-330 ◽  
Koenraad Brosens ◽  
Klara Alen ◽  
Astrid Slegten ◽  
Fred Truyen

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

Work ◽  
2021 ◽  
pp. 1-11
Ivana Ilić Krstić ◽  
Danijela Avramović ◽  
Snežana Živković

BACKGROUND: Mining, especially underground coal mining, has always been a hazardous occupation. Injuries, including those that are fatal, are a major occupational risk that all miners have to face. OBJECTIVE: Despite the fact that all workers are aware of the risks, efforts must be made to increase their safety through the implementation of preventive measures. METHODS: This retrospective study includes injury data from all nine Serbian coal mines over a 16-year period, from 2000 to 2016. All injury data were collected from employee safety and health records. RESULTS: In the analyzed period, a total of 9,273 occupational injuries were recorded at Resavica. The highest number of occupational injuries (over 600) were recorded in 2008 (669), 2004 (651), and 2005 (603). The data shows that almost one fifth of the total number of occupational injuries, or 20.74%, occurred during the said three years. On average, 493.06 minor, 51.12 severe, and 1.29 fatal injuries occurred each year. Every day there were 1.29 minor occupational injuries and every seven days there was one severe injury. CONCLUSIONS: Despite indications that there is a connection between some of the variables and the number of injuries, the general conclusion is that injuries are accidental and unpredictable. The high percentages of injuries are due to the organization of work and the age or qualification structure of the staff and, of course, are the consequence of likelihood –the greater the number of workers, the greater the likelihood of injury. However, the present study showed that some measures can be taken to increase occupational safety and reduce the number of injuries.

2021 ◽  
Vol 23 ◽  
pp. 100136
Martino Trevisan ◽  
Luca Vassio ◽  
Danilo Giordano

2011 ◽  
Vol 39 (3) ◽  
pp. 219-225 ◽  
Guo Donggan ◽  
Bai Zhongke ◽  
Shangguan Tieliang ◽  
Shao Hongbo ◽  
Qiu Wen

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