Sentence examples for derived a time from inspiring English sources

38 Using baseline data, we derived a time weighted arsenic concentration as a function of drinking durations and well arsenic concentrations (see equation A in fig 1).

For each subject four independent times were generated: t12, t23, t13 and C (censoring time), according to the intensities displayed in Table 2. From these times, 2 times of interest for each subject were derived: a time to exposure t12= t E and a time to final event t i.

We derived a time-weighted arsenic concentration (TWA) as a function of drinking durations and well arsenic concentrations [TWA (micrograms per liter) = ∑ C i T i/∑ T i, where C i and T i denote the well arsenic concentration and drinking duration for the ith well] (Ahsan et al. 2006b).

We use this estimate to derive a time series of "clock error", defined as the difference in timing of two clocks, one based on a theoretically invariant time scale (terrestrial time) and one fixed to Earth rotation (universal time), and compare this time series to millennial scale variability in clock error inferred from ancient eclipse records.

Based on this approach, we derive a time lower bound on cloned-tag identification and propose a suite of time-efficient protocols toward approaching the time lower bound.

We investigated the interactions of Lake Merzbacher with the Southern Inylchek Glacier (Central Tien Shan) using the Synthetic Aperture Radar (SAR) Pixel Offset-Small Baseline Subset (PO-SBAS) to derive a time series of three-dimensional (3D) glacier motion.

All measured time points were combined to derive a time antibody concentration curve.

Furthermore, based on the estimated position of the corresponding HO and LAU events, it is possible to derive a time and spatial frame for applying a traffic model for a single subscriber, which is useful, e.g., for real network traffic simulations.

From reported chlamydia case counts and testing volume, we were also able to derive a time series for prevalent chlamydia infection among those tested.

Furthermore, using the temporally stamped ancient DNA data, we are able to derive a time series for the molecular acquisition of the pathogenicity elements and immune avoidance systems that facilitated the evolution from a less virulent bacteria with zoonotic potential, such as Y. pseudotuberculosis, to one of the most deadly bacteria ever encountered by humans.

We derive a time-varying sequence of linear filters for channel estimation according to the MMSE principle.