Sentence examples for initial adaption from inspiring English sources

Exact(1)

Cr VI) induced cell transformation is a multistep process in which cells go through an initial adaption to Cr VI -induced Cr VI -induced toxicell, then deathandd anchorage-independentoxicity, and withenime acquiredisplayednsformed phenotype.

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We give an analytical criterion to distinguish between continuous adaption, initial bursting, regular bursting and two types of tonic spiking.

The process of adaption involved an initial series of meetings and focus group discussions with health care providers experienced in working in primary care and with knowledge of the local culture, beliefs and practices, to discuss the chosen interventions as well as in-depth interviews with patients.

These time points were chosen to account for initial response, secondary response, and functional adaption to chilling stresses.

Three organs/tissues (folded leaf, fully expanded leaf and roots) from three different Cassava cultivar SC124 plants harvested at 6 h, 24 h and 5d for three chilling treatments of CA, CCA and CS, for profiling genes at the stages of initial response, secondary response, and functional adaption to chilling stresses.

To reduce the effect on the varying gain during the adaption mainly caused by the initial error, fully distributed adaptive time-varying sliding-mode control is presented for controller design.

This process, finally, ends up in population evolution of members having a better adaption to environment than the initial generation that is, in fact, their parents (Beasley et al. 1993).

Total RNA was extracted from three organs/tissues of the plants at the 6 h, 24 h and 5d of the corresponding stress treatments and the normal control in order to account for initial and secondary responses as well as functional adaption to chilling stresses.

We have described elsewhere the initial development, translation, back-translation, discussion, and specialty-specific adaption of the instruments [12] [14].

By using feature selection methods to optimize the subset of initial sensors in a smart environment, this paper proposes the adaption of the extended belief rule-based inference methodology (RIMER+) to handle data binary sensors and its use as the suitable classifier for activity recognition that keeps the accuracy of results even in situations where an essential sensor fails.

This is fine for simple location tests where we have distribution-free rank tests, but in our case we are fitting a linear model and, hence, the adaption must be based on the residuals from an initial fit.

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