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Calculations of effect sizes were performed using Microsoft Excel® version 2007 (Microsoft, Redmond, WA, USA).
Comprehensive flotation kinetic tests at various primary grind sizes were performed.
Three scale models were used and detailed air water measurements (void fraction, bubble count rate, bubble sizes) were performed systematically for identical inflow Froude numbers.
Simulations of Cu/DIW nanofluids at 0.005 volume fraction for different particle sizes were performed to understand the effect of different particle sizes on the convective heat transfer enhancement.
Calculations of 95% CI around effect sizes were performed using the "BootES" package [46] in R. All other analyses were performed using SPSS® versions 17.02 and 23.0 for Windows (SPSS, Inc., Chicago, IL, USA).
Three experiments involving varying problem sizes were performed: Exp-S: 680,718-particle single-platelet; Exp-M: 2,722,872-particle 4-platelet; and Exp-L: 10,891,488-particle 16-platelet.
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Comparison of the PL intensity from NPs of different sizes was performed for samples matched in OD at 250 nm.
Thus the meta-analysis of effect sizes was performed as part of the literature review through the random-effects model.
A comparative analysis of various combinations of DWT and DCT block sizes is performed, with compression ratios up to 98%.
Finite element simulations of volumes of different sizes are performed in the case of linear elasticity and thermal conductivity.
Assembly using multiple kmer sizes was performed.
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