Sentence examples for false weights from inspiring English sources

For example, visiting Egypt for the first time 1657 58 Jean de Thévenot observed a man impaled for using false weights.

Impaling an individual along the body length has been documented in several cases, and the merchant Jean de Thevenot provides an eyewitness account of this, from 17th century Egypt, in the case of a man condemned to death for the use of false weights: to a few hours or 1 to 3 days.

Blinking like bats, they each took a cellular phone underneath different manicured spruce trees on the hotel grounds and made discreet calls home to check on their families, the new false weight of their relationship sending them running to their other obligations.

BP algorithm needs many repetitions to converge; however there is always the possibility to get stuck in a local minimum, often due to false weight dimension choice.

Depending on rheology and underlying topography, lava may extend tens of kilometres from a source vent and accumulate in depressions giving false weight to these regions far from potential eruption locations.

'The idea that genetics plays a role in intelligence, is a dangerous ideology that can be used to afford false weight to elitist class discrimination, and ideas of superiority of certain genetically related groups…' Comments opposing a comment that promotes advisor's genetics view Thread one commenter disagrees with another commenter who has displayed support for the advisor's views on genetics.

If you accept credit for being an inspiration, then you must also accept responsibility for negatively influencing the lives of the people that are discouraged and harmed by the false weight loss numbers, the deception, and the blatant body shaming of "The Biggest Loser".

Underreporting of the true maternal weight (i.e., reporting false lower weight) might have influenced the results, resulting in an underestimation of the prevalence of obesity in the Swedish pregnant population, and accordingly an underestimation of the associations related to BMI.

Further the ratios between weight of false negative (WFN) and weight of false positive (WFP) were calculated.

Finally, we induced the learning process using different weights for false positives and false negatives; basically, a false negative had a higher cost than a false positive.

To decrease the chance of generating false positives, GAP weights the available data according to their "information content" and their frequencies in the scientific corpora, and then, integrates different information to prioritize stronger associations.