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Research octane is measured under mild conditions of temperature and engine speed (49 °C [120 °F] and 600 revolutions per minute, or RPM), while motor octane is measured under more severe conditions (149 °C [300 °F] and 900 RPM).
Most of the horses were measured under mild sedation because they were not used to extensive handling.
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It was less valuable as a model of journalistic interrogation: Rodriguez was allowed to make a case for torture, and promote his book, "Hard Measures," under fairly mild questioning.
We show that the continuous tenor model is arbitrage-free, that the analytical tractability is retained under the spot martingale measure, and that under mild conditions an interpolating function can be found such that the extended model fits any initial forward curve.
a number of genes up-regulated; b number of genes down-regulated Although plant growth measured by shoot biomass was reduced by 20% under mild N stress, the baseline expression levels of most genes in the genome remained similar.
The aim of the present study was to find variables (mood and related parameters, cognitive performance, physiological parameters) that are easily measured and sensitive to mild dehydration under standard and well-controlled conditions.
In particular, under mild conditions on a measure with compact support, we show that each possible universality limit is the reproducing kernel of a de Branges space of entire functions that equals a classical Paley Wiener space.
Furthermore, we provide code for converting ORs into other measures of test performance like predictive values, post-test probabilities, and likelihood ratios, under mild conditions.
For instance, mechanical properties that were significantly superior to those measured in the present study were reported (Teramoto et al. 2008) for the sericin isolated from Sericin Hope cocoons under mild conditions (35°C).
We establish the coincidence of two classes of Kato class measures in the framework of symmetric Markov processes admitting upper and lower estimates of heat kernel under mild conditions.
It is shown that under mild conditions – usually met in interpretable fuzzy modeling – possibility can be used as a valid measure for assessing distinguishability, thus overcoming the computational inefficiencies of similarity measures.
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