Sentence examples for models as received from inspiring English sources

The FFRs in the sealed steam bags were irradiated on high power for 90 s; the prescribed time for a microwave with a rating of 1100 W. A Model 8130 Automated Filter Tester (AFT) (TSI, Inc., St . Paul MN, USA) was used to measure initial percent filter aerosol penetration and filter airflow resistance for FFR models as received (control), 1 cycle treated FFRs, and 3 cycle treated FFRs.

Bandpass filters for 365 nm (filter A, band width 12 nm, model no. 365/12 BP) and 436 nm (filter B, band width 10 nm, model no. 436/10 BP) were used as received from DELTA (Hørsholm, Denmark).

Each signal of interest can be modeled as a received sequence of length such that.

The resulting digital baseband signal can then be modeled as a received sequence of length such that (3).

A modulated signal as received by the classifier can be modeled as.

In order to describe the TDE problem in a room environment where each microphone often receives a large number of echoes due to reflections of the wavefront from objects and room boundaries, we can use a more realistic reverberation model which models the received signals as [12] (3).

"Success" of interventional treatment was not considered in the model, as patients receive top-up treatments (additional treatment in case of complications, i.e. vein has not been occluded or obliterated) until the treatment episode is complete [44, 45] (NICE).

Compared to studies that treat traits as independent, these models have received less empirical scrutiny.

The rats in group B served as the disease models and received intraperitoneal injection with 0.1% of CCl4 (0.1 : 100 of CCl4 in peanut oil, 20 mL peanut oil/kg body weight) on the seventh days and using a vehicle for the rest of the days.

We chose to use the one-stage approach for computational reasons and because the IV methodology applied to non-experimental data in the context of structural equation modeling allows for simultaneous causal modeling of MTX received as the outcome for MTX assigned and predictor of cGVHD occurred.

The emergence of attractive pattern classification algorithms such as the Gaussian mixture model (GMM), neural network (NN), and hidden Markov model has received attention as a potential means to discriminate between normal and pathological voices [6 13].