Sentence examples for stiffness need from inspiring English sources

Because our exercise intervention was completed by a relatively small number of subjects, the benefits of aerobic training on arterial stiffness need to be confirmed by larger studies.

Though traditional baseline risk factors for atherosclerotic cardiovascular disease are associated with a higher risk of SCD, additional measures of subclinical cardiomyopathy and cardiovascular disease that are more common in dialysis patients, such as coronary and vascular calcification, and vascular stiffness, need to be studied with respect to arrhythmic risk [ 54].

The World Trade Center towers were box-shaped, and tightly clustered rows of steel columns around the facade not only held up nearly half the towers' weight but also provided all of the stiffness needed to resist the force of high winds.

Lindström et al. (2002) emphasised that stiffness needs to be evaluated, and used for selection, all along the value chain – from seed through final wood product.

In the hybrid X-ray mirrors, the lightweight ceramic layer provides the stiffness needed to maintain the overall figure of X-ray optics, while the NiCo layer maintains the low surface roughness necessary for X-ray reflection.

Based on the parametric study, the two minimum values of confining stiffness needed to achieve two different levels of ductility at various concrete strengths have been evaluated for design guidance.

Whether improved glycemic control in DM patients can increase circulating EPCs and decrease arterial stiffness needs to be confirmed in future prospective studies.

The strength parameters and stiffnesses needed for this failure criterion are obtained from virtual material tests.

Mussina, who is on the disabled list with elbow stiffness, will need two more strenuous bullpen sessions, and at least one minor league start, before returning.

Coupling of flexural and torsional stiffness terms need not be zero in any of the cases.

Differences in stiffness would need to be considerably larger to be judged as significantly different as determined by ANOVA.