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Induction temperature of 30°C, pH 7.0, and 0.1 mM isopropyl-β-d-thiogalactopyranoside (IPTG) were selected, and the optimized levels for the factors predicted by the model comprised the following: Mg2+ (15.7 mM), Ca2+ (16.6 mM), and Mn2+ (3.0 mM).
Beside regressors of interest, the model comprised the following set of nuisance regressors (NR): NR1 and NR2: total white matter intensity and cerebrospinal fluid (CSF) intensity per fMRI volume.
The model comprised the shank, rearfoot, forefoot, and hallux segments.
The multivariate model comprised the same variables as in the CD4 cell count model.
The first model comprised the complete cases sample (n = 3,171).
The first model for each region comprised the AddNeuroMed cohort and the second model comprised the ADNI cohort.
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The model comprises the fluid, electromagnetic and transformer submodels.
The first layer – the core of the model – comprises the dental-practice segment.
The model comprises the reaction kinetics, liquid liquid equilibria as well as interfacial mass transfer effects.
Our process model comprises the covariance and cross-covariance information of river discharge at different gauges.
The model comprises the electro-thermal coupling effect on sample impedance, responsivity and time constant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com