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In this work, we extend the multi-scale approach to an n-order irreversible chemical looping reaction and the influence of clusters on chemical reaction is investigated.
An example of MMSE and BER for 200 blocks frame-length and with three pilot signals prediction at 50 kbps is shown in Figure 25, where we can see the influence of clusters at 0 and around 40 m (with respect to the second cluster).
Compared with other studies[ 9, 15], this study distributed sentinels across the city and used systematic sampling, which are better able to better represent and be extrapolated to the city's population by avoiding the influence of clusters and season-specific cases; the incidence rate and disease burdens could be calculated in future studies.
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The influence of cluster size on the interaction between NA and zeolites was explored.
The influence of cluster formation on coating performance and possible solutions to cluster formation were further discussed.
We first assume the data as independent random variables for simplicity and later discuss the influence of clustering.
Finally, the sensitivity analysis was conducted to investigate the influence of cluster weights on the final ranking.
In our previous study [10], we have investigated the influence of clustering distance cutoff of each pharmacophore type on the ligand pose sampling accuracy and efficiency.
Basically, the influence of cluster rotation on achievable per-user rates with MT and PF scheduling is similar to what we have discussed in Section 3.1.
The influence of cluster thickness and its location on: the crack-density evolution, applied load, longitudinal stress and its contour plots is studied for all the stacking sequences selected.
The influence of cluster thickness and its position on the damage evolution of open-hole composite laminates, subjected to uniaxial in-plane tensile loads, is studied in this work.
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