Sentence examples for may produce errors from inspiring English sources

We focus here on the Sieverts technique, which in a poorly designed apparatus may produce errors ∼100% in the quantity of absorbed hydrogen owing to a realistic 25% error in the density of a light-atom sample.

Meridional winds calculated from hpF2 ionospheric data (servo model) may produce errors of about 59 m/s, whereas the method calculated from the F-region base height (h′F) ionospheric data gives errors of about 69 m/s during the occurrence of equatorial spread-F.

Microcomputers, employed in such studies for more than a decade, may produce errors resulting from the inertia of measurements, due to the manual input of terminal points of the operations under analysis and to misjudging the number of operations constituting a work cycle.

However, skin-marker movement may produce errors in the calculations of joint angles [ 1, 2, 8, 39] representing a limitation.

Besides, residential outdoor exposure does not measure true individual exposure, and air pollution modeling may produce error in the exposure estimates (Oftedal et al. 2007).

However, model errors will exist which may in turn produce errors in the reconstructed temperature distributions.

Although such treatments of the combustion process as a lumped element are attractive because of their simplicity, this paper shows that they may produce significant errors.

While manual recounts may produce verifiable errors in certain cases, we do not find sufficient evidence to declare a law authorizing the use of a manual recount to be unconstitutional on its face.

Furthermore, it will be shown that the vibrations of the flexible solar panels results in disturbing forces on the base which may produce undesirable errors and perturb the object manipulation task.

Sometimes, normalization with a single reference may produce significant errors and the more than one reference genes may be needed in some experiments.

When models or algorithms at small scales are used at large scales, they may produce certain errors, especially for non-linear models (Tao et al. 2009).