Sentence examples for total sampling time from inspiring English sources
By simulation, we investigated a selection of sampling strategies defined by the number of sampled subjects (n s ), the total sampling time collected from each subject (t tot, in minutes), the number of working days per subject (n d ) among which the sampled time periods were distributed, and the size of sampled time blocks within each working day (t b, in minutes).
Ω total sampling time (s).
However, if M = 64 (as in our case) this TL value is close to 100% of the computation time of the total sampling time.
This is clearly illustrated in Table1 where reduction in number of robots from 4 to 1 resulted in an almost four fold increase in the total sampling time.
In this experiment, the time-averaged void fraction, α, is evaluated as a function of the total sampling time, Ω, and the total collected pulse widths of the front sensor during the sampling period [3].
The total sampling time is 80,000 s, which is greater than the computation time of the aforementioned tracking algorithms; therefore, all algorithms are capable of working in real time.
A Millipore filter paper strip with 1 mm width was inserted into the gingival sulcus), left for 30 s (or replaced when almost saturated up to a total sample time of 30 s) and placed in a sterile tube containing 180 μL of buffer (10 mM NaH2PO4 and 150 mM NaCl, at pH 7.2).
Endotoxin levels for airborne endotoxin were expressed in EU per 1 m (EU/m), accounting for the total sampled volume (sampling time in minutes times 2 L).
If x is the time for which ΔS > 0 and y is the total sampling window time, then, it is written as follows: R j = x y, (4).
where PW is the jammer pulse time and (PWi+1 − PW i ) is the sub-window time during which ΔS > 0. T is the total sample window time.
In the first reported application of a multiphase design to multi-stage laboratory analyses, the design was shown to offer considerable advantages over traditional approaches particularly in reducing total sample number, time and cost of analysis, as well as more comprehensive monitoring of experimental error.
