Numerical investigation of the influence of spatial effects and supporting structures during pit excavation

2020 ◽  
Vol 17 (1) ◽  
pp. 87-96
Author(s):  
Ping Li ◽  
◽  
Junjun Chen ◽  
Yaru Lv ◽  
Zhiyuan Wang ◽  
...  
Keyword(s):  
Numerical Investigation ◽  
Spatial Effects ◽  
Supporting Structures

scholarly journals Numerical Investigation of Spatial Effects on the Silicon Solar Cell

2016 ◽  
Vol 8 (2) ◽  
pp. 02002-1-02002-4 ◽  
Author(s):  
A. B. Nawale ◽  
◽  
R. A. Kalal ◽  
A. R. Chavan ◽  
T. D. Dongale ◽  
...  
Keyword(s):  
Solar Cell ◽  
Numerical Investigation ◽  
Silicon Solar Cell ◽  
Spatial Effects

Abnormalities of the Teeth and Their Supporting Structures

1972 ◽  
Vol 5 (2) ◽  
pp. 249-272
Author(s):  
Leslie Bernstein ◽  
Kenneth S. Keyes
Keyword(s):  
Supporting Structures

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

Spatial Effects in Land Price Models in Austria

2019 ◽  
Author(s):  
Wolfgang Feilmayr ◽  
Wolfgang Brunauer ◽  
Moritz Starzer
Keyword(s):  
Spatial Effects ◽  
Land Price

Numerical Investigation of Discharge Current Path in a Hydrogen MPD Thruster

2016 ◽  
Vol 136 (3) ◽  
pp. 141-146 ◽  
Author(s):  
Akira Kawasaki ◽  
Kenichi Kubota ◽  
Ikkoh Funaki ◽  
Yoshihiro Okuno
Keyword(s):  
Numerical Investigation ◽  
Discharge Current ◽  
Current Path
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