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The uncertainty can be attributed to varied detection procedures and difficulties in defining 'gold-standard' histologic criteria for diagnosing 'verrucous' lesions.
Some of this uncertainty can be attributed to a lack of information related to cooling system operation and cooling water injection.
The three sources of uncertainty can be attributed to the volume fraction (sample mass and volume measurements), nonadiabaticity of the system, and the performance variation of the ethanol suspensions themselves.
Some of this uncertainty can be attributed to differences across studies in the methods used to assess limb alignment [ 17], the confounding influence of ethnicity on limb alignment, changes in limb alignment across the lifespan, and the relation of limb alignment during standing with such dynamic actions as walking.
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Overdispersion of geochronological data with respect to these analytical uncertainties can be attributed to either a proportional underestimation of the analytical uncertainties, or to an additive geological scatter term.
Within the context of seasonal hydrologic predictions, these uncertainties can be attributed to three causes: imperfect characterization of initial conditions, an incomplete knowledge of future climate and errors within computational models.
Using this implementation of the TrackIt model, median uncertainty in the calculated position points for longitude was 1.1 1.3° and for latitude was 1.1 1.7°, where the higher uncertainty bound can be attributed to the poor light data collected during dives to deeper depths.
The uncertainties that can be attributed to the estimated exposure levels, the non-representative nature of the measurement data collected and the presence, even in small quantities, of fibers ≥ 5 μm in length in sectors where the excess risk is lower, do not allow a formal conclusion to be drawn concerning the absence or presence of a low carcinogenic effect for SAF.
Simulation results reveal that in the low temperature combustion regime for iso-octane, the majority of the uncertainty in the model predictions can be attributed to low temperature reactions of the fuel sub-mechanism.
In most hydrologic models using satellite data, major uncertainties in the model output can be attributed to the model parameters or input data.
Secchi depths (Figure 4A) were lower in this scenario than in Table 1 and Figure 3, which can be attributed to model uncertainties and uncertainties in empirical data.
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