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Normalized data of these parameters were used in the correlation studies.
For the present report we included data of 108 females 3 6 months after pregnancy with GDM (pGDM) and 40 controls (women after gestation without GDM) with available data of soluble adhesion molecules or IMT (2 pGDMs and 1 control subject were excluded from the original study cohort due to missing data of these parameters).
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In the MINoSGI simulation, we used the same model parameters for respiration of stem and fine roots of L. kaempferi as those of C. japonica used in the previous research [28] because of the lack of inventory data for these parameters.
In the MINoSGI simulation, we used the same model parameters for respiration of stem and fine roots of L. kaempferi as those of C. japonica used in the previous research [ 28] because of the lack of inventory data for these parameters.
These parameters are likely to be species dependent, and although we do not have quantitative data for all of these parameters, the relative concentration of AcHz was greater in rats than mice, while the covalent binding and blood levels of INH were greater in mice.
Data on each of these parameters are synthesized using a hierarchical empirical Bayesian model to make estimates for 21 world regions based on observed data in each modeled region, data observed in other regions, and data from other time periods (by estimating a time trend).
Because of the limited availability of exposure data, these parameters are often estimated rather than measured.
Loss of data collection for these parameters represented a failure in data collection of the study, not allowing the establishment of relationship with SVR.
In [12], an Expectation Maximization (EM) algorithm is presented which estimates the parameters of the probability distribution of the data by iteratively maximizing the likelihood of the available data as a function of these parameters.
Initial analysis of the data showed that these parameters (% of positive nuclei and intensity) were correlated and therefore we multiplied the score for each sample to result in a scale of 0 12 indicative of the relative expression of EDD.
Based on these data of input parameters (free drying shrinkage strain and creep), shrinkage stress is estimated using model of Eqs.
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