Sentence examples for extension over time from inspiring English sources

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This study also measured decreased knee extension over time in the rat knees contralateral to a contractured knee.

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We investigated MSChUCBs derived from three independent cord blood samples (MSChUCB1, MSChUCB3 and MSChUCB6) and assayed the responses of these cell lines to the differentiation medium in terms of the frequency of neurite outgrowth as well as the dynamics of appearance/disappearance of neurite-like extensions over time.

To investigate whether skeletal extension varied over time (i.e., slopes were equal to "zero" for S. siderea within the three different reef zones), estimates of the rates of change in skeletal extension derived from the ARMA (1, 1) random intercepts model along with the 50% and 95% confidence intervals were displayed in a plot popularized by Gelman and Hill (2006) [35].

"People change over time.

Given that the frequency of illusory extensions decreases over time, it is not surprising that an overall perceived velocity, computed taking into account no-movement periods (see Methods section), decreases.

One suggestion is that nothing accounts for this stability at all, and that the duration of a body is nothing more than the time through which a given complex ratio of motion and rest happens, de facto, to characterize regions of extension whose sum over time describes what can be construed as a continuous path.

A crouched standing posture leads to a reduced hip and knee extension that worsens over time, due to gravity and the altered position of the body segments in relation to each other [ 17].

When using a non-G4 control plasmid, multiple extension products accumulated over time, but there was no specific stalling observed at the G-rich sequence (Fig 2B, left panel, and Supplementary Fig S1B).

These are dynamic, i.e., their contents and extensions will change over time.

First, it may be more difficult to maintain an overview of all assumptions of the model, as new features and extensions are added over time and are developed by somebody else.

The predicted RuBP concentrations of the basic M-DFBA and its extensions are nearly constant over time; on the other hand, with the proposed NLP-based R-DFBA approach, changes in concentrations are obtained in the first half of the simulated time interval, followed by a constant concentration.

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