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In addition, compared with evaporation-related meteorological variables, precipitation and leaf area index (LAI) provide the more dominated contributions to the changes of ET and Ei in the TP, while LAI is overwhelming contribution factor for Ec changes.
This was accomplished by calculating a contribution factor for each transcription factor in a cluster.
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The contribution factor of transcription factor j for cluster C was calculated as the fraction of influence a given transcription factor imposed on the cluster with respect to the total influence of all L transcription factors, as follows: Transcription factors for which the contribution factor was larger than 0.2 were chosen as dominant transcription factors of the cluster.
The contribution factor estimated for individual parameters revealed that temperature, agitation speed, and M/O ratio have a more significant effect on the RSME yield.
Figure 9 Percentage contribution of factors for hard disk bytes written output objective.
Figure 7 Percentage contribution of factors for processing time output objective.
Figure 8 Percentage contribution of factors for job turnaround output objective.
The individual contributions of each factor for explaining the variance of MMRAO among states were 11.9%, 40.2% and 14.2%, respectively.
Kinetic considerations of the temperature dependence of cyclization efficiency indicated that a strong contribution of the steric factor for bulky substituents (which inhibits intermolecular monomer addition) resulted in high cyclization efficiency despite a disadvantage in activation energy for cyclization.
Multiple linear regression analysis was used to evaluate the contribution of each confounding factor for HOMA-IR.
Stepwise multiple linear regression analysis was used to evaluate the contribution of each confounding factor for hsCRP.
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