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In this study we define the continuous height function to investigate the approximation of an interface line and its geometrical properties with the height function method.
This will make it possible to construct continuous height profiles of parameters such as vector velocity and ionospheric current density, or to look for anisotropic scattering mechanisms, in a manner that cannot be achieved by conventional radars in a way compatible with typical geophysical coherence times.
A test for deviation from linearity in continuous height was performed by including an additional quadratic term in the regression.
Further inclusion of alcohol consumption, body mass index (BMI, either categorical or continuous), height (as a measure of health during early adulthood), and consumption of fruit and vegetables did not materially change the hazard ratios.
Smoking status (categorical), education (categorical), fibre intake (continuous), height (continuous), and physical activity level (categorical) were found to be nonsignificant covariates and were therefore not included in the final models.
The crude and the multivariate adjusted results with sex, age (by 10-year groups), body-mass index (kg/m, continuous), height (continuous), demented hip-fracture cases (dichotomous) and non-demented hip-fracture cases (dichotomous) by linear regression modelling are presented.
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In the present study we evaluated several categorical (weight-for-age, height-for-age, BMI-for-age) and continuous (weight, height) anthropometric values, but only low height-for-age were related with allergy in boys.
It is found that the predicted continuous flame height is about three fifths that of the experimental mean flame height reported in the literature.
The stoichiometric mixture fraction is used to define the continuous flame height which also coincides with the maximum mean temperature along the centerline of the fire.
This method was specifically designed for the analysis of continuous canopy height data generated by airborne LiDAR systems or digital photogrammetry; however, in this study we demonstrate our method using a large, well-documented dataset composed of simulated canopy surfaces only.
After excluding from the list all non-biological and/or non-inherited examples (such as having a scar), we chose among the listed traits one with an obvious continuous distribution (height or skin or hair colors, for example) and two or more with a more discrete distribution (for example, the presence/absence of chin and cheeks dimples or the ability to roll the tongue).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com