Sentence examples for measurements we would from inspiring English sources

To correct OD measurements, we would like to find a relative cell density from a measured OD and so performed a regression on the data of Figure 3c.

However, for long-time measurements we would recommend an exchange of sensor foils at regular intervals.

Without any association of the mean level and the magnitude of discordance between measurements, we would not expect to see any pattern in the scatter plot.

Through the extensive measurements, we would like to investigate: (1) whether channel characteristics at different frequency bands are different in the same propagation scenario; (2) whether room electromagnetics theory holds at different frequency bands; and (3) whether diffuse scattering is important to model at millimeter wave frequency bands.

At the moment we have a very incomplete picture of what's going on, whereas if we were able to make thousands of measurements we would have a much better feeling.

On the other hand, even for time series or differential quantitative measurements, we would still expect the key characteristics of the LC-MS maps, such as noise level or chromatography, to remain stable during the study.

If we believed the popular vote was somehow the key measurement, we would have campaigned much more intensively in our home state of Illinois and in all the other populous states, in the pursuit of larger raw vote totals.

Before detailed analysis on our measurement, we would like to discuss the properties and applicability of log-logistic, log-normal, Weibull, and Nakagami statistic distributions, which are designated as "curve-fit" models in Section 4, since they are more likely to provide good fit to our collections of pragmatic clutter data.

If we weren't so distracted by the "outstanding" as some kind of bizarre yardstick of self-worth measurement, we would appreciate and relish the real, the small and the imperfect.

For example, using the first chart suggested above, if we had about a 31 inch waist, a 43 inch hip, and a 25 inch thigh measurement, we'd be about right for a size 14 pair of jeans.

By plotting the distance between the session means and the overall subject specific mean vs. the latter we showed the within-subject between-session variance increased with the subject mean; this feature disappeared when using log-transformed measurements, which we would therefore recommend as the relevant variable.