Sentence examples for importance which may from inspiring English sources

Exact(9)

So colorful, in fact, that they may crowd out her historical importance which may well have been greater than those of her husband, President Gerald R. Ford.

Then we evaluate biases of secondary importance which may be caused by mantle heterogeneity.

Grow the cluster starting from a node of high importance which may be nodes of high measure value of degree or between-ness.

In addition, the novel method is of great importance, which may guide future efforts for the development of other porous carbon-based materials for applications in multi-fields.

Our data do not differentiate between varying degrees of novelty or clinical importance, which may represent different levels of innovation.

Our data show that different myeloid antigens often differ in biological importance, which may be obscured by combining them into "MyAg positive ALL".

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Similar(50)

Pink, well-fed, self-satisfied, all leather, feathers, steel and swagger - the kloveniers do not look all that dangerous, but Rembrandt has done a wonderful job of memorialising their playful self-importance, which may be the point of the picture.

ISLAMABAD, Pakistan — A Central Intelligence Agency drone strike in Pakistan's tribal belt killed Al Qaeda's deputy leader, Abu Yahya al-Libi, American officials said on Tuesday, dealing another blow to the group in a lawless area that has long been considered the global headquarters of international terrorism but the importance of which may now be slipping.

Immunopathological studies indicate that multiple effector pathways can contribute to lesion formation, the relative importance of which may vary between patients or during the course of the disease (Lucchinetti et al., 2000; Prineas et al., 2001).

There is a pluralism of values at stake as regards to patients, research participants, authorities, the medical profession, scientists and the general public concerning the storage and use of human tissue samples [ 22, 23], the importance of which may vary according to the individual involved.

A linear regression also produces estimates of relative importance, which however may fall outside the allowable range bounded by zero and one and hence cannot be interpreted as choice probabilities.

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