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The variation in time of the climate system around a mean state.
The model can be obtained by considering an advection-dispersion equation governing the dynamics of suspended sediments over the marsh platform and by neglecting the advective and dispersive terms so that the variation in time of the concentration equals the settling rate.
Based on the very simple framework identified in this paper, more complex models can be developed and used to predict the filter behavior over time (i.e. build-up of the soot cake and back-pressure rise up to the regeneration step) provided that (i) the variation in time of filter permeability due to local soot loading is implemented and (ii) equations are solved numerically.
It is concluded that for the evaluation of the confidence factor over an interval of interest, for the case analyzed, it is more significant to consider the variation in time of the structural capacity rather than that of the structural demand; however, it is recommended to consider both (structural capacity and structural demand) in the analysis.
It is shown that in order to estimate the optimal time interval for inspection and maintenance of the structure, it is necessary to take into account the variation in time of both its structural capacity and its structural demand (case 3); if one of them were ignored, the optimal time interval could be overestimated.
The variation in time of the transmembrane (RP) and transepithelial (SP) potentials were simulated in response to two-second square pheromone pulses of various heights.
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In the CPRD validation cohort, in women the algorithm explained 41.2% of the variation in time to diagnosis of heart failure (R), and discrimination was good with a D statistic of 1.71 and ROC value of 0.78.
The variation in time for the formation of AgNPs may be due to the difference in the composition of the secondary metabolites present in the plant extracts.
Flow and transport are coupled, since the solute distribution impacts the variations in time of the advecting velocity field.
Due to the growth of electric end-uses, the management of the variations in time of the electric power demand has become essential, especially in the residential sector.
This is not surprising given the variations in time of exposure assessment, length of follow-up, method of exposure assessment, type of physical activity assessed, levels of physical activity compared and covariates included in the analysis.
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