Finally, a numerical model for ambient vibration isolation is built under the conditions of plane strain, and the responses are performed both in frequency domain and in time domain by finite element method.
We, therefore, tested the hypothesis that adopts this model for ambient temperature signaling and investigated whether PIF4 expression and possibly also the transcript levels of PIF4-regulated genes that mediate cell elongation are affected in response to elevated temperature.
The bubble size formed has shown to increase linearly with UG/UL closely following the well-known bubble formation models for ambient conditions.
Parameter estimates and CIs for all variables included in final models for ambient PAH, maternal adducts, and cord adducts are provided in Supplemental Material Tables 1, 2, and 3 respectively (http://dx.doi.org/10.1289/ehp.1104315).org/10.1289/ehp.1104315
We adjusted for the confounding variables of temperature, relative humidity, and, in the model for eNO, ambient NO measured at the Beacon Hill site.
Controlling for outdoor and intra-chamber temperatures in the mixed models did not alter the significance of these results (see Supplemental Material, "Mixed models controlling for ambient and chamber temperature," p. 3).
Pollution effects were investigated with delays (lags) of 1 6, 7 12, 13 18, 19 24, and 25 72 hours in both single and multi-pollutant models, adjusted for ambient temperature, relative humidity, circulating levels of influenza and respiratory syncytial virus, day of week, holidays, and residual seasonality within calendar month strata.
They found that parameters for the best-fit model of ambient methyl bromide concentrations at monitoring sites were average methyl bromide use during a 7- to 8-week period over the 7 × 7 mile area surrounding the monitoring site (R = 0.95).
The scope of the model was validated for ambient temperatures of −20 to +30 °C and a transported water temperature from 40 to 70 °C.
In additional models, we adjusted for ambient exposure to the pesticide in order to examine the risk associated with consumption of potentially contaminated well water after controlling for the contribution of ambient exposure to the pesticide.
This sensitivity analysis was applied to the model for the estimated ambient PM10 lag with the greatest absolute t-value.
