Sentence examples for height classification from inspiring English sources

They comprise two or three genera depending on the system of height classification being used: altostratus, altocumulus, and, according to WMO classification, nimbostratus.

Four lncRNAs (ENST00000440778.1, ENST00000602322.1, ENST00000414894.1, and TCONS_00028768) were differentially expressed between different patients when grouped according to age, height, classification, severity of scoliosis, and Risser grade.

The proportions of arch height classification for patients with and without neuropathy were: 'no arch' 6.6percentt versus 13.8percentt; 'lowered arch' 42.5percentt versus 31.3percentt; 'normal arch' 17.9percentt versus 21.1percentt; 'elevated arch' 26.4percentt versus 32.5percentt and 'excessively elevated arch' 6.6percentt versus 1.3percentt.

It is the only amusement park in the world with four roller coasters taller than 200 feet – Magnum XL-200, Millennium Force, Wicked Twister, and Top Thrill Dragster – and is the only park with roller coasters in all four height classifications.

All 120 AIS patients were grouped according to age, height, menarche, classification, severity of scoliosis (measured by Cobb angle), and Risser grade (Table 5).

There was no statistically significant difference among the 3 groups in terms of age, body weight and height, ASA classification, duration of anesthesia, surgery, and total fentanyl consumption (Table 1).

Binning according to their apparent height allows classification into populations molecules in the "ON" state appear in higher contrast due to both their orientation more normal to the surface and their greater conductance (8).

No difference between groups of children with or without valid PA data was found for age, gender, height, KTK (classification), aiming and catching component score, location or preschool size.

%BF cut-off to define overweight or obesity may increases the practicality of applying of these weight and height-based classification criteria in real world setting.

The purpose of the study of using this cut-off in the paper is for comparison among different weight and height-based classification criteria.

The DOC for this study had an electronic health record (EHR), from which all health data (diagnoses, medication classification, height and weight values) were extracted.