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During 3D scanning, the Fe-phase nanoparticles that are sited nearer to the tip of the CNTs (labeled as 'I' in Figure 6) would undergo the evaporation process each scan, cluster and re-deposit back mostly on the tips of the CNT conic bundles (Figure 1).
Moreover, a previous study using spatial scan cluster analyses suggested that counties around Guangzhou City and Chaoshan Region were at increased risk for dengue fever (3).
The scan cluster analysis identified two areas with a high risk of F. hepatica infection, both located in south-west Sweden.
For high prevalence of HIV infection, the results of the EB adjusted LISA (Local Indicators of Spatial Association) cluster analysis was similar to the results of the geographic scan cluster analysis.
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Finally, according to these clustering centers, a time scan clustering is designed for the rest of the points by density to complete the clustering.
Towards the top end of the scan, clusters of arc-shaped complexes, mostly in the prepore intermediate (∼10.5 nm high), can be distinguished.
In this paper, the Line-Scan Clustering (LSC) algorithm, a novel one-pass algorithm for labeling arbitrarily connected components is presented.
We developed and trained a novel deep learning-based method called Deep OCT Atrophy Detection (DOCTAD) to automatically segment EZ defect areas by classifying 3-dimensional A-scan clusters as normal or defective.
We used a maximum window of 10% of the population for scanning clusters of malaria episodes.
Second, the number of grid for scanning clusters was optimized maximizing the performance while minimizing the computation time.
Since we aimed to identify localized clusters, a maximum circular window of 30 Km in radius was used for scanning clusters of HCV exposure and PAT exposure.
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