Multiscale strategies for describing environment effects: From solvents to biomatrices

2022 ◽  
pp. 263-279
Author(s):  
Benedetta Mennucci
Keyword(s):  
Environment Effects

Exploring Strategy Use in a Multiple-Task Environment: Effects of Automation Reliability and Task Properties

2012 ◽  
Author(s):  
Chiu Shun Dan ◽  
Ralph H. Cullen ◽  
Wendy A. Rogers ◽  
Arthur D. Fisk
Keyword(s):  
Strategy Use ◽  
Task Environment ◽  
Environment Effects ◽  
Multiple Task ◽  
And Task

ENVIRONMENT EFFECTS AND MAGNETIC PROPERTIES IN TRANSITIONAL ALLOYS

1974 ◽  
Vol 35 (C4) ◽  
pp. C4-207-C4-212 ◽  
Author(s):  
F. GAUTIER ◽  
F. BROUERS ◽  
J. VAN DER REST
Keyword(s):  
Magnetic Properties ◽  
Environment Effects

scholarly journals Conformational analysis of tannic acid: Environment effects in electronic and reactivity properties

2021 ◽  
Vol 154 (22) ◽  
pp. 224102
Author(s):  
Romana Petry ◽  
Bruno Focassio ◽  
Gabriel R. Schleder ◽  
Diego Stéfani T. Martinez ◽  
Adalberto Fazzio
Keyword(s):  
Conformational Analysis ◽  
Tannic Acid ◽  
Environment Effects ◽  
Acid Environment

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

Zinc Environment Effects on Tobacco for Laboratory Demonstration

1968 ◽  
Vol 30 (5) ◽  
pp. 412-417
Author(s):  
Phillip E. Miller
Keyword(s):  
Environment Effects

Exchange interaction and local environment effects on the magnetic properties ofFeNclusters

1992 ◽  
Vol 46 (16) ◽  
pp. 10432-10436 ◽  
Author(s):  
J. Dorantes-Da´vila ◽  
H. Dreysse´ ◽  
G. M. Pastor
Keyword(s):  
Magnetic Properties ◽  
Exchange Interaction ◽  
Local Environment ◽  
Environment Effects
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