Sentence examples for height of this study from inspiring English sources

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Since height percentiles were not considered in the existing recommendation [ 14], blood pressure reference values with median height of this study were used to make comparisons.

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Anthropometric data (weight & height) of the study subjects were collected and BMI was calculated as kg/m.

In the earlier recommendations [ 14], only function of age on blood pressure was considered, the blood pressure percentiles could be understand as the functions of age and average height of the study population.

The height of the studied model is ten floors.

The height of the studied multi-layer flakes is determined by Atomic Force Microscopy: 10-nm height for flakes exfoliated from the CF and 0.86-6.1 nm for flakes obtained from CF0.28.

Moreover, the use of height in this study enabled us to demonstrate that the dataset is large enough to differentiate the patterns of BMI and height between generations.

We compared the shrinkage factor of the structure height in this study to that in a similar study [23] using a polymeric template and TiO2 precursor.

Although Asner et al. [15] previously compared regions using LiDAR-derived mean canopy profile height (MCH), we used top-of-canopy height (TCH) in this study.

Although Asner et al. [ 15] previously compared regions using LiDAR-derived mean canopy profile height (MCH), we used top-of-canopy height (TCH) in this study.

Results show that the mean value of the generated power increases with the increase in the ratio of the width to the thickness of the cantilever, the wave height, the sea depth (which equals to the cantilever height in this study), the ratio of the proof mass to the cantilever mass, and the ratio of the sea depth to the wave length.

By utilizing various statistical models to quantify the return levels of extreme significant wave height this study seeks to achieve two objectives: the updating of the state-of-the-art concerning extreme wave analysis along the Italian coast and the creation of a long-term predictive model.

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