Model study and 3-D numerical analysis of vertical micropile subjected to oblique pullout loads

2016 ◽  
Vol 11 (4) ◽  
pp. 405-417 ◽  
Author(s):  
Sunil Bhardwaj ◽  
S. K. Singh
2007 ◽  
Vol 2007.44 (0) ◽  
pp. 75-76
Author(s):  
Futoshi TANAKA ◽  
Kiyoshi KAWAGUCHI ◽  
Kenji SUNOHARA ◽  
Takumi HASEGAWA ◽  
Kimiyosi TAKADA

2008 ◽  
Vol 2008.45 (0) ◽  
pp. 185-186
Author(s):  
Kenji SUNOHARA ◽  
Kiyoshi KAWAGUCHI ◽  
Futoshi TANAKA ◽  
Yuuya SUZUKI ◽  
Takumi HASEGAWA ◽  
...  

2014 ◽  
Vol 29 (1) ◽  
pp. 110-117 ◽  
Author(s):  
Gabriele HARB ◽  
Stefan HAUN ◽  
Josef SCHNEIDER ◽  
Nils Reidar B. OLSEN

2017 ◽  
Vol 50 (3) ◽  
pp. 197-219
Author(s):  
F. V. García-Ferrer ◽  
E. Roldán ◽  
F. Silva ◽  
G. J. de Valcárcel

2019 ◽  
Vol 21 (12) ◽  
pp. 6341-6347 ◽  
Author(s):  
Satoshi Takahashi ◽  
Yuya Sasaki ◽  
Shuichi Hiraoka ◽  
Hirofumi Sato

Numerical analysis considering explicit conformational difference revealed the self-assembly process of a Pd2L4 cage containing rigid ditopic ligands.


2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.


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