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The developed model allows testing the potentiality of the proposed EMS under different scenarios of load demands using historical climate data over a period of one year.
Furthermore, the model allows testing possible combinations of enantiomer analysis (EA), compound specific isotope analysis (CSIA), and enantiomer specific isotope analysis (ESIA) to identify and assess isotope and enantiomer selective reaction mechanisms.
The model allows testing of hypotheses on the effect of the gradient on plant competitive interactions, as well as making ecological predictions from simple competition experiments using standard statistical procedures.
Last but not least, this model allows testing of biomaterials without other than the physiologic mechanical load, which is in contrast to animal models that produced single injection or implantation sites using osteotomy or ostectomies [ 24, 30, 49].
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Fitting nested (increasingly more restricted) models allows testing for significance of the GRPS, the environmental factor of interest, and their interaction effect.
Developed CI models allow testing several approaches within the boundaries without the necessity of performing an assay/conducting experiments in laboratory.
Latent variable models allow testing a theory as a whole, incorporating individual differences with respect to developmental processes or abilities in the model.
To design such rules it is needed to (1) achieve new experiments manipulating the heterogeneity in variety traits, (2) determine experimentally the ecological mechanisms underlying mixture performance and (3) develop new models allowing testing and analyzing these mechanisms.
Branch models allow testing variation in ω among different branches of a phylogeny [34].
These models allow testing variation of selective constraints between paralogous copies.
Our use of a two-level statistical approach with the bivariate meta-analysis and HSROC curve analyses following a random effects model allows test stringency and test accuracy to vary across studies.
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