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Thus, the ARMA model of ambient signal is built up.
The ARMA model of ambient signal x i is shown in (21).
Model order is a key factor in the ARMA model of ambient signal.
To demonstrate effective repression of HIF-1α in these cell lines, we utilized a model of ambient hypoxia.
To confirm hypoxia induction of TLR2 and TLR6 in vivo, we utilized a previously described murine model of ambient hypoxia [26] [30].
Finally, using multiple regression with pre/postexposure FEV1 score as the outcome measure predicted by the model of ambient level, asthma medication use, sex, age, and proximity, we found no significant results.
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In the ARMA modeling of ambient signal, the model order selection is an important step.
Next, Prony models of ambient signals are presented, and the mode shape information of multiple dominant interarea oscillation modes are simultaneously estimated.
Statistical modeling of ambient noise data with and without ship noise, collected in the shallow waters of the Bay of Bengal, are utilized to build the detector.
Models of ambient temperature were additionally adjusted for corresponding moving-average values of relative humidity and barometric pressure.
Spatial models of ambient PM2.5, NO2 and O3 concentrations were developed to represent current spatial pollution patterns across Canada.
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