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Section 6 discusses an algorithm, introduced in [3], for word error rate minimisation using boosting techniques.
The system underwent three rounds of energy minimisation using the conjugated gradient method to remove any unphysical contacts until the system had converged.
All data were fitted using non-linear least square minimisation using Matlab® based on the interior-reflective Newton method [25, 26].
Following this, both structures, including water molecules in the crystal structure were subjected to energy minimisation using HyperChem 8 Professional [29].
Allocation of participants to treatment is based on stochastic minimisation using number of previous episodes banded as (<7, 8-19, 20+) and clinical site.
Programs from the CCP4 suite [34] were used throughout the refinement process, which was initiated by rigid-body refinement and proceeded through iterative cycles of minimisation using REFMAC5 [35] and model building with Coot [36].
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The energy minimisation used steepest descent for ten cycles, followed by a switch to conjugate gradient for the remaining 9990 cycles.
Randomisation to shoe group will be via a process of minimisation, 25 using 5TT performance times obtained during familiarisation as the minimisation variable and a 1 1 allocation ratio.
The primary analysis was adjusted for the minimisation variables using analysis of covariance.
A random component will be added to the minimisation algorithm using an 80% weighted randomisation.
To remove strain from the docked poses, the systems were put through an energy minimisation procedure using the Impact module of the Schroedinger software.
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