Sentence examples for variable adaptation from inspiring English sources

The remaining groups evidenced variable adaptation patterns, with strengths in some domains and challenges in others.

They presented several approaches such as population adaptation, variable quantization, variable adaptation, and multi-objective genetic algorithms.

In the evaluations, the single variable adaptation performed better than the full matrix mean transformation, and therefore the results are presented only for it.

In this study, therefore, the dependent variable, adaptation, has more than two outcomes such as crop-diversification, soil and water conservation and seasonal migration.

Vulnerable regions within other HIV proteins may also demonstrate variable adaptation to the same HLA selective pressure, in line with the different HIV B and HIV C CF1 epitope yields.

The close relationship of these two species in the plant kingdom [ 2] allows a direct comparison of an annual plant with a tree that has to cope with highly variable adaptations during its long life span.

The descriptive statistics of dependent variables (adaptation and coping strategies) and independent variables (household characteristics) are presented in Table 2.

The first step was reduction of the variables using Explanatory Factor Analysis (EFA) while the second step was the use of correlation analysis to check for the multicollinearity of dependent variables (adaptation and coping strategies).

For a neuron i in population α, the dynamics of the d-dimensional process ( X t i ) governing the evolution of the membrane potential and additional variables (adaptation, ionic concentrations), when there is no interaction, is governed by the equation: d X t i, N = f α ( t, X t i, N ) d t + g α ( t, X t i, N ) d W t i.

In many sensory systems, when stimulus intensity, contrast or velocity values are mapped against these variables, adaptation dynamics of neural spike patterns can be successfully mimicked with simple linear-nonlinear (LN) models, e.g. a temporal filter followed by a static transfer function.

If the program offers a single treatment, the propensity score can be estimated in a standard way using, for example, a probit or logit model, where the dependent variable is "adaptation" and the independent variables are the factors thought to influence adaptation and outcome (Getachew et al. 2011b).