Sentence examples for numerical length from inspiring English sources

Exact(2)

Studies of patients' acceptance of waiting time indicate that its numerical length is very important to patients: cataract patients generally accept waiting times of three months and less, while waiting times of six months or more are likely to be perceived as too long [ 39, 40].

A percentage deviation score was calculated for each participant by dividing the absolute deviation of their response from target value by the length of the numerical span represented on the axis (|subjective mapping − objective mapping| / numerical length of the axis; as in Booth & Siegler, 2006).

Similar(58)

This ensured that all trials were weighed equally in the analysis, regardless of the numerical axis length.

In this study, two versions of PASS2 database updates, i.e. 2004 (PASS2.2) and 2008 (PASS2.3) has been compared, based on many numerical and length variation parameters.

The differences between numerical data (length of stay at hospital, use of health care service, physical function) will be tested with Two Sample t-test or Wilcoxon rank sum test.

In fact, the errors induced by the numerical characteristic lengths are no more than 4%, which suggests a good prospect of the proposed method in engineering.

The FFT computational complexity for a numerical sequence of length L is L × log2(L) and for a windowed sequence of WL = N is N × log2(N).

The effect of the related parameters such as numerical aperture, fiber length, core diameter, FWHM of the Gaussian input on sensor is analyzed along with its physical explanation.

The present study highlights the limitations of existing formulae used to predict numerical cohesive zone length and demonstrates modifications necessary for improved accuracy.

It was found that both the crystallinity and the lamellar thickness of EDAM samples increase linearly with the increase of the numerical average sequence length of ethylene run.

Because this method abandons the use of iterative numerical techniques, the length of time required to emulate a solution (this excludes the effects of actuation and data acquisition) is fully controllable and independent of the dimension of the system model.

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