By linear regression analysis, increases in intra-tumoral IL-1β following anti-VEGF therapy correlated with increased vascular area (Fig. 7B).
First, the period of analysis increases from 40 to 150 years.
Nevertheless, the combination of culture-based analysis with molecular analysis increases the observed bacterial diversity.
More accurate load models in power system stability analysis increases the accuracy of simulation results.
Enrichment analysis increases the likelihood of identifying the biological processes most relevant to the experiment (Huang et al. [2008]).
Including LSCIs in the analysis increases the land for conservation more than tenfold and reduces these representation biases.
The computational power and time required to carry out the analysis increase as the fidelity of the analysis increases.
The complexity level of ROI analysis increases tremendously by the complicated nature of TBI that generally involves a combination of focal and diffuse injury mechanisms.
However as the frequency of analysis increases, the total time spent moving data can become considerable, and an in situ approach may become more attractive.
Therefore, when we see in Figure 9 that the time for analysis increases between 256 and 512 analysis processes, this is due to the DFT calculations.
Consequently, the demand for novel methodologies, which enable scale-correlated analysis, increases in order to describe a hierarchy of multi-scale systems in various length and time scales.
