Sentence examples for change flexibly from inspiring English sources

Exact(1)

Here, we show that the perception of audiovisual simultaneity can change flexibly and fluctuates over a short period of time while subjects observe a constant stimulus.

Similar(59)

A set of statistical experiments is used to benchmark the framework components and shows that this approach requires no extensive training for generalisation and can adapt to environmental changes flexibly.

From a scientific perspective, the TDM database can be regarded as a basic tool for the implementation of multi-centre clinical trials and observational studies since the body of data collection can be extended or changed flexibly, depending on the aims of the respective study.

It depends on the irradiation time, which is changed rather flexibly.

"The best communities, just like the best individuals, are the ones that can adapt to changes very flexibly, nimbly, quickly".

If the difference in the cAIC-Differences Δ p between models was found marginal we recommend using higher polynomials, particularly in the 2nd vector components, since this yields additional degrees of freedom and can fit α-helix during conformational changes more flexibly.

This dependence is not necessarily stationary but can flexibly change as the particular properties of circuit elements and the dynamical states of the circuit change in time.

The ability of a cell to reversibly and flexibly change lineage or to modify cell behaviour through alteration in differentiation programming.

Puncturing allows convolutional codes to flexibly change rates and is widely used in applications where high code rates are required and where rate adaptivity is desired [24].

Based on the definition of waveform diversity, radar networks need to gain the characteristics of targets and environmental information interactively and change firing waveform flexibly so as to optimize performance of detection, tracking, and anti-interference.

The TEP system can predict the thermal environment data of all places within the modeled area before work begins in the morning and can flexibly change the predicted data, based on the sensing data at a benchmark point at the site.

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