Sentence examples for may expect where from inspiring English sources

Hence at high velocities one may expect where A′ is some effective cross-sectional area, presumably comparable to its true cross-sectional area A (which is πD2/4 for a sphere) but not necessarily exactly equal to this.

While the process of miniaturization has advanced more slowly than the company may have expected, where the clearest failures have lied is in the cult of mystery and high expectations that Magic Leap CEO Rony Abovitz seems to have chased in order to inflate his company and his own premature illusions of grandeur, all of this before the company has anything to back that visionary status up with.

Taking a feWhilees from the Oculus processk of cominiaturizationeventual consumer product in language geared towards developers early-on would likely be wise for thascompadvancedts path to the consumoreislowlyengthanas recentheeports have made it out to be.

Know what to expect where.

Keel sail-boats may expect some separation where the keel joins the hull.

Keel sailboats may expect some separation where the keel joins the hull.

The Continuous Local Trend (CLT) mode of soil variation may also be expected where gradients of soil properties are induced around individual plants, or plant roots.

He captures the drama one may expect in a hospital where premature babies, some no bigger than a can of cola, fight for their lives against birth defects, heart conditions, lung damage and drug addiction.

The contrast even said something to me about the difference between the United States, where we may expect things to be slightly more formal and shiny, and Europe, where Davies and Namekawa have been based for a couple of decades (he has been music director of the Bruckner Orchestra Linz for 15 years) and where their duo piano recitals have been enthusiastically received by music lovers.

This study attempts to alter the influence of loss aversion by framing the treatment arm of the standard gamble in terms of success (where we may expect the influence of loss aversion to be relatively weak) and in terms of failure (where we may expect the influence of loss aversion to be relatively strong).

Otherwise, it is an "extrapolation case", where we may expect model errors to be greater.