Ageing Model of Rubber O-Rings Used in Gas-Insulated Substation Equipment

2021 ◽  
Vol 47 (3) ◽  
pp. 69-75
Author(s):  
Tadao Minagawa ◽  
Yasumichi Hatanaka ◽  
Yosuke Oyanagi ◽  
Erika Okita ◽  
Masahiro Yasuda
2015 ◽  
Vol 11 (5) ◽  
pp. 27-31
Author(s):  
O.V. Kyrylenko ◽  
◽  
B.S. Stognii ◽  
M.F. Sopel ◽  
S.Ye. Tankevych ◽  
...  

2013 ◽  
Vol 133 (9) ◽  
pp. 628-631
Author(s):  
Masaki HIGASHINO ◽  
Yuki KAWAURA ◽  
Shinji YAMAMOTO ◽  
Toru IWAO
Keyword(s):  

2021 ◽  
Vol 651 (2) ◽  
pp. 022093
Author(s):  
Qiang Gao ◽  
Chuan Zhong ◽  
Yong Wang ◽  
Peng Wang ◽  
Zaiming Yu ◽  
...  

2020 ◽  
pp. 1-21
Author(s):  
Erika Guastafierro ◽  
Ilaria Rocco ◽  
Rui Quintas ◽  
Barbara Corso ◽  
Nadia Minicuci ◽  
...  

Abstract Healthy ageing is a public health problem globally. In Europe, the dependency ratio of the elderly is expected to increase by 21.6 per cent to 51.2 per cent in 2070. The World Health Organization (WHO) study on healthy ageing started in 2002 as a concept whereby all people of all ages should be able to live in a healthy, safe and socially inclusive way. The aim of this study is to present preliminary results of the project Identification of Determinants of Healthy Ageing in Italy (IDAGIT) that aimed to collect data on the active and healthy ageing of the Italian population aged over 18 using the conceptual framework of the WHO's ageing model. To link the determinants of the IDAGIT studies to those of the WHO model, we performed a confirmatory factor analysis which reported these variables as significant (in order of factor loading): smoking, cognition score, comorbidity, outdoor built environment, participation, working expertise and income. Considering comorbidity, 83.8 per cent of the sample declared not having any chronic diseases or to have only one, and regarding neurological diseases, only nine people had received a diagnosis of stroke. Regarding gender, the personal determinants and physical and social environments did not result in statistically significant differences, whereas we found statistical differences between the aged groups in all variables analysed. These results provide a first bio-psycho-social perspective on ageing in the Italian population.


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