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The critical border values of the variables that may stimulate the rapid growth of Microcystis and microcystin production, when they were simultaneous present in the water, were represented in the second-order polynomial models and determined to be NaNO3 >1.27 mM, K2HPO4 >0.1 mM, iron >0.01 mM, light intensity >26 μmol m−2 s−1 as well as temperature >18.8 °C, respectively.
In the present study, we investigate the effects of three primary conformer generation parameters (the fragment sampling rate, the energy window size, and force field variant) upon the accuracy of theoretical conformer models, and determined optimal settings for PubChem3D conformer model generation and conformer sampling.
We used these models and determined the frequency of different IL-6 IL-10 patterns for each age group [32].
We examined the profile data for all three models and determined that the six-segment solution offered the highest face validity.
We identified the most parsimonious models and determined the variables most strongly associated with each sphingomyelin class and individual species.
We assessed predictors of endoscopic findings using logistic regression models, and determined prediction rules that maximised sensitivity and positive predictive value (PPV).
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These benchmark results are used to evaluate the models and determine the extent to which they reproduce the flow.
Purpose: To determine the flap thickness accuracy of 6 microkeratome models and determine factors that might affect flap thickness.
Different statistical errors functions are used to evaluate models and determine the most accurate one.
I can apply the coursework to evaluate their business models and determine whether the [startup] would be a successful partner.
In 2012, a two-phase sampling design was used to fit tree component biomass regression models and determine tree BEFs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com