Sentence examples for design analyses of from inspiring English sources

In this paper, the conceptual design and the design analyses of the facility will be presented.

In addition, optical design analyses of the CLFR-hybrid system are carried out from various design aspects.

Thus, the analytical formula proposed in this work can be utilised by design engineers in the efficient design analyses of similar composite lattice structural components.

This work is devoted to nuclear design analyses of the new HCPB-type DEMO reactor developed in the frame of the EFDA PPPT program.

Design Analyses of single and duplicate 24-hour recalls were conducted to determine dietary intake during the Third National Health and Nutrition Examination Survey.

Both 1-way repeated measures and 2-way mixedesigngn analyses of variance were used to determine differences between the knee conditions, with significance set at P <.05.

Hypothesis-driven analyses of subjective hunger and attentional bias scores were conducted using mixed-design analyses of variance (ANOVA) with group (normal weight versus obese) as the between-subjects variable, and satiety state (fasted versus fed) and food-calorific value (high calorie versus low calorie) as within-subjects variables.

The estimates from the individual subject GLMs were analyzed using appropriately designed analyses of variance (ANOVAs) that treated participants as a random factor.

Mixed-design analyses of variance (ANOVAs; alpha level =.05) were conducted to analyze the learning curve, GA, and LA of both tests.

11 Pre-and posttest repeated measures mixed-design analyses of variance were conducted using the general linear model framework and were corrected for multiple comparisons using two-dimensional spatio-temporal clustering based on 1000 bootstraps (significance threshold P = 0.05).

Separate three-way mixed-design Analyses of Variance were performed with interpretation training Condition (benign vs. negative) and Presentation (written vs. spoken) as the between subject factors and Time (pretraining vs. posttraining) as the within-subject factor to test the hypotheses relevant to each dependent variable.