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A second random sequence will be generated to code for the sequence with which tasks will be presented to the participants.
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Codes will be generated to unfurl the data and to identify possible "hidden meanings" [ 42, 43].
After coding was completed, code frequency and code co-occurrence reports were generated to examine coding patterns.
Eleven pairs of oligonucleotide primers were generated to amplify all eight coding exons of the MR gene.
Primers were generated to amplify the full coding region of the receptor, according to the corresponding cDNA sequence in the mouse [ 24] (Invitrogen) (5'-CTG GGT ACC ACC ATG GCG CCC GCC GCC CTC-3', 5'-GGC CAC TTT GAC TGC AAT CT-3').
Besides, the ternary code is generated to enhance the discrimination ability.
A computation code was generated to simulate numerically the development of the boundary layer, using a low turbulence Reynolds number form of the κ-ε turbulence closure model.
A computer code was generated to create a hybrid digital simulation system (HDSS) to connect two commercially important software programs, namely Matlab and Aspen Hysys.
As a result of the critical review following the pilot study, an adapted Attitude system which addressed the issues arising from the pilot study was generated to be used as the coding scheme of the main study.
In the first analysis of the data, an initial set of codes was generated to capture key constructs.
Themes were generated to form links between the separate codes and reviewed to check for consistency and coherence and final themes were produced upon further refinement.
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