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In the small scale cases, the model obtained acceptable solutions.
In most cases, the model interactions studied underlie economically important diseases or symbioses.
In several cases, the model fit the human data better than did cognitive dissonance theory.
In both cases, the model predicts the resulting residual strength distribution very accurately.
In most cases, the model exhibits free flow, jam, and phase separation phenomenon.
In many cases, the model also predicts removal efficiency very well.
In both cases, the model results were in very good agreement with the analytical solution.
In many cases, the model parameters are based on empirical values recommended by design specifications that reflect the site conditions.
In all cases, the model succeeded in predicting the initial reaction rates with a relative deviation of less than 5%.
The model accuracy is based on the match to production data and, for all simulation cases, the model accuracy is good with R2≥0.83.
Tremendous efforts have been devoted to identifying key regulators in plant drought response through genetic, molecular, and biochemical studies using, in most cases, the model species Arabidopsis thaliana.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com