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In this paper, the factors that could affect the frequency of somaclonal variations were determined.
Four factors that could affect the frequency of somaclonal variations were determined in this study.
In general, significant (P < 0.05) variations were determined in seasonal studies (Polat et al. 2009; Tulgar and Berik 2012).
In this study, geo-electric strike variations were determined by the analysis of the low frequency MT data (1 1000 s), because regional strike orientations were targeted rather than local inhomogeneities.
Base pressure variations were determined by measuring the pressure around statically deformed shells, in given circumferential modes, and also measuring the phase lag between shell motion and pressure in the wake.
Relative amounts of band 3 and CD47 in each sucrose fraction and their sample variations were determined by dot blot analysis.
Similar(41)
For the cobalt battery, more significant thickness variations are determined.
The change in output for a given energy deposit in the crystals in response to temperature variations was determined.
The linear and non-linear natural frequency variations are determined as a function of shell amplitudes for different cases.
The significance of the variations was determined by comparison with wild type sequences, previously reported mutations, and correlation with TGFBR2 protein structure.
The observed time lag, ( Delta {t}_{ji}^{prime } ), for each pair of variations is determined as a time shift corresponding to the maximum of the cross-correlation function.
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