The phrase "a single time scale" is correct and usable in written English.
It can be used when discussing a unified or singular measurement of time in a particular context, such as in scientific or analytical discussions.
Example: "In our study, we decided to analyze the data using a single time scale to ensure consistency across all measurements."
Alternatives: "one time frame" or "a unified time measurement".
A majority of the bias correction approaches correct for biases either at a single time scale or at multiple pre-specified time scales.
The autocorrelation functions are found to collapse when normalized by the integral time scale, indicating that a single time scale adequately characterizes the full range of scalar fluctuations.
Thus, the chemotactic response of V. alginolyticus to a short pulse of attractant essentially consists of only a single time scale.
Thus, an important finding of this experiment is that upon a brief stimulation, the chemotaxis network of V. alginolyticus appears to employ only a single time scale for chemosensing.
In the numerical simulations, we use a leap-frog integration scheme with a single time scale.
The extended fetuses at risk formulation of death provides 2 alternative models that treat time per epidemiologic principles (as survival time and on a single time scale).
It was postulated that intrinsic roughness of the energy landscape on the way downhill to the intermediate causes the lack of a single time-scale.
The major advantage of the wavelet transform for analyzing the signal is that it possesses multi-resolutions for localizing shirt-time components so that all possible types of gear faults can be displayed by a single time-scale distribution resulting from the transform.
The entire mortality experience of a cohort of fetuses (as documented on single time scale) is of interest, irrespective of whether death precedes or follows birth (see Figure 4).
Instead of simply using single time scale to estimate the complex pattern (irregularity) of a time series, MSE extended this concept to evaluate the complexity of physiological signals on multiple time scales.
The method significantly enhances the computational efficiency in comparison with single time scale integration methods.
