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Self-regulated learning variables indicated no gender differences.
Combined evidence of multiple variables indicated that pipistrelles preferred to roost close to streams.
Weather-based predictor variables indicated complex interactions between recruitment and climatic controls.
Squared multiple correlations for endogenous variables indicated substantial variance in engagement and commitment accounted for by their respective predictors.
Univariate and multivariate analysis of clinical and surgical treatment variables indicated that preoperative kyphoscoliosis (p = 0.0032) and laminectomy/laminoplasty at more than 4 levels (p = 0.05) were independently associated with development of spinal deformity that necessitated surgical fusion.
Preformulation design variables indicated that relative ratios of phospholipids, considerably influences NL size, thus altering the degree of drug loading in the formulation.
Analysis of Variance (ANOVA) applied for investigating the significance of two independent variables indicated that TEA content was the most significant variable.
Least squares means of altitude, independent of other variables, indicated that individuals with BD committed suicide at the greatest mean altitude.
Correlation of determination (R2) and difference between laboratory measured and SVR predicted values based on MI selected variables indicated that the SVR can model R∗ and k quite accurately with R2 = 0.93 and R2 = 0.72, respectively.
The Condorcet method used for prioritization of effective variables indicated that the percent of forestry lands (52 scores) and discharge with 10 years of return period (32 scores) were respectively the most and the least effective variables on sediment yield.
Feature selection by MI through variables indicated that the best arrangements for the R∗ and k predictions are the sets of particle Reynolds number-energy dissipation and particle size-bubble Reynolds number, respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com