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To explore this possibility, we have used Generalized Ensemble (GE) algorithms [12] to generate projections of the landscape defined by Rosetta's full-atom scoring function.
We used these simulations to generate projections of future changes in temperature and precipitation over the region of interest.
The normalized relative probability for current conditions (nPc) for each sub-model was calculated as:
Images were processed with ImageJ, utilizing either brightest point or average intensity settings to generate projections.
The model results were applied to future climate change situations to generate projections of DF in the 2050s and 2080s.
Series of images were sequentially collected in the Z-axis, and ImageJ software (http://rsbweb.nih.gov/ij/) was used to generate projections for illustrations.
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The SIMIND Monte Carlo program together with the XCAT phantom were used to generate projection data [ 15, 16].
2D reference-free alignment and classification was performed using SPIDER (Frank et al., 1996) to generate projection averages.
Interestingly, previous in vivo studies suggested that NSCs of the SVZ or parenchymal progenitors expressing the proteoglycan NG2+ may generate projection neurons and interneurons (Magavi et al., 2000; Arvidsson et al., 2002; Nakatomi et al., 2002; Dayer et al., 2005; Gordon et al., 2007; Ernst et al., 2014).
Based on models for predicting aftershocks from earthquakes, it generates projections about which areas and windows of time are at highest risk for future crimes by analyzing and detecting patterns in years of past crime data.
There is another SOM implementation in RapidMiner that generates projections with U-Matrix and other visualization techniques.
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