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Due to lack of wave measurements we cannot directly study the heating mechanism.
If we do not have auroral measurements, we cannot rule out the possibility that the lack of a PI in the magnetometer data might be because the PI signal was masked by an MI signal or occurred far away from noon.
From our measurements, we cannot discriminate which mechanism is predominant.
Without height measurements we cannot comment on obesity or nutritional status in this population.
Based on our measurements, we cannot exclude the possibility that a minor fast phase precedes the slow phase (for details, see Results).
However, without nuclear magnetic resonance measurements, we cannot exclude that the second glucose molecule is located at the available hydroxyl group at the C-4 position of HT2.
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Until we have an appropriate grasp on the underlying meaning of the variability of these measures and the factors effecting their measurement, we cannot make conclusive or useful recommendations to affect these measures for the sake of disease prevention or treatment efforts.
Finally, despite asking the subjects to be very precise in their time measurement, we cannot guarantee that these measures were carefully obtained.
However, in the process of delay measurement, we cannot know the real path of the measurement packet, and different paths from P to R i will introduce a different error into the estimated delay between ( {mathrm{L}}__1} ) and R i. Fig. 3 Error of estimated delay between landmark and common router.
Finally, although serum S100B measurements are a valid measure, we cannot entirely exclude alterations of blood brain barrier functioning in alcohol-addicted subjects [ 42] as the cause of these slightly higher initial S100B serum levels.
In this study, because we have no objective adherence measure with which to compare our adherence measures, we cannot identify the portion of our measurement that is error, and we cannot directly compare our findings with other studies that use related items in different populations [ 16– 16].
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