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Optimized conditions were designed by testing different experimental conditions on model substrates (cyclopentylmethanol, cyclohexylmethanol, cyclopentane-1,1-diyldimethanol or cyclohexane-1,1-diyldimethanol) to find best organic solvent, optimal acyl donor and temperature, as well as the optimal substrates/enzyme ratio.
Specifically, we demonstrate that a simulated version of this model can generate both of these rhythms, selected only by the relative levels of certain constant inputs, for fixed parameter values, and we derive conditions on model parameters that ensure that this dual functionality will exist.
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In contrast, summary statistics such as χ2 values similarly condition on model accuracy, but necessarily further condition on the statistic being a good indicator of the phenomenon under investigation -- in this case, selection.
We derive conditions on the model parameters for risk aversion and loss aversion based on observed properties of preference.
Conditions on the model parameters, for which the mean and higher moments of the delay distribution become infinite, are investigated.
The paper further gives conditions on the model's parameters that guarantee that non-monotonic allocation rules will be optimal.
Chapter four describes the background and results of our study on changing environmental conditions on a model system, barley seedlings.
However, in the present paper we have not worked on deriving conditions on the model parameters.
A Spearman correlation test was performed to evaluate the influence of equilibrium conditions on the model's Patlak slope.
The conditions on the model parameters, for which the desirable behaviors of the solution of the system can be expected, are derived.
Second, we fitted the full DDM (Ratcliff, 1978) to the data and measured the effect of the experimental conditions on the model parameters.
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