Methane dehydrogenation on 3d 13-atom transition-metal clusters: A density functional theory investigation combined with Spearman rank correlation analysis

Fuel ◽  
2020 ◽  
Vol 275 ◽  
pp. 117790 ◽  
Author(s):  
Karla Furtado Andriani ◽  
Johnatan Mucelini ◽  
Juarez L. F. Da Silva
2019 ◽  
Vol 3 (2) ◽  
pp. 49
Author(s):  
Moh Khoirul Anam

TOEFL has been provided as a standardized test to measure the English proficiency of non-native speakers. However, one thing should be considered that TOEFL is still a big challenge for non-native English learners, especially for EFL learners. This is one of the factors, related to how proficient the vocabulary knowledge which students have. Therefore, this study aimed to investigate to what extent the relation between vocabulary knowledge, breadth and depth, and TOEFL test, especially reading subtest session. Participants of this study were undergraduate English students who never took a TOEFL preparation course. To help analyze data, IBM SPSS 24 version with Spearman rank correlation analysis was used to make it more precise. The result of Spearman rank correlation analysis revealed that there was a significant correlation among the variables. This result supports some previous studies focusing on the same topic.


2008 ◽  
Vol 602 (10) ◽  
pp. 1858-1862 ◽  
Author(s):  
Constantinos D. Zeinalipour-Yazdi ◽  
Andrew L. Cooksy ◽  
Angelos M. Efstathiou

2017 ◽  
Vol 19 (23) ◽  
pp. 15484-15502 ◽  
Author(s):  
Anderson S. Chaves ◽  
Maurício J. Piotrowski ◽  
Juarez L. F. Da Silva

Subnanometric transition-metal (TM) clusters have attracted great attention due to their unexpected physical and chemical properties, leastwise compared to their bulk counterparts.


Sign in / Sign up

Export Citation Format

Share Document