Sentence examples for adaptive transformation from inspiring English sources

We should, hence, note that need does not always enter into the student's narrations as a causal factor, nor is it always associated with environmental conditions as a cause of adaptive transformation.

For students' need-based explanations, although not purely mechanistic or natural, are still causal explanations in which the external physical conditions or internal forces act to bring out the necessary adaptive transformation.

However, adaptive transformation where public agencies working alongside private citizens challenge the supremacy of the existing wildfire suppression model in favor of long term economically efficient risk mitigation strategies is possible.

Considering the feature of the 2-D IWT, a different strategy is designed for LL-subband and non-LL subbands, which denotes DC prediction (DCP) and adaptive transformation method (ATM), respectively.

This paper proposes a novel framework in which auditory signal processing is characterized as an adaptive transformation from a one-dimensional space into an n-dimensional auditory parameter space.

Again, it may be the case that the conditions that are said to cause the necessary adaptive transformation are the ones that have contributed in creating that necessity if being in water is causing the necessary development of webbed feet, the aquatic habitat has also contributed to the creation of the need for webbed feet.

It is clear that having an idea of "gene -controlled inheritance is not enougene -controlled inheritanceo be very useful, is unotrstanding that enoughioneithert the inheritance of necessary adoesite trappearmatoons.

Overall, quantifying the changes in the calcium signaling pathway in db/db diabetic beta-cells will aid in the development of a disease model that could provide insight into the adaptive transformations of beta-cell function during diabetes development.

In this paper, we propose a new framework for image restoration by combining nonlocal regularization technique with structured sparse representation using a novel parametric data-adaptive transformation matrix.

The proposed difference operator not only gives flexibility in modeling prior knowledge of clean images compared with the conventional methods, but also leads to a novel parametric data-adaptive transformation matrix.

In adaptive polar transformation number of samples near centre and those at the periphery differ.