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Once the location of corresponding 3D features are identified over the full set of images (across time and the stereo pair), a function may be derived that maps each point onto a reference image (the first image acquired in the series) by using the calibration information with Eq. (1) and the temporal correspondence of the points.
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end{aligned} (11 Due to (11) and using condition (iv), we derive that F is a mapping from (bar{B}_{r_0}) into (bar{B}_{r_0}).
From this a priori selection, time series data are extracted and used as regressors in a linear correlation (or general linear model) analysis from which whole-brain, voxel-wise functional connectivity maps are derived that co-vary with the seed region (for more details see Cole et al. 2010).
We derive simple formulas that map reduced-form empirical estimates into quantitative predictions for optimal tax and social insurance policy.
In this paper, a map is derived that approximates the response of the Fenton-Karma model to stimulation in zero spatial dimensions.
3.2 we derive maps that describe the network activity when the synapses between the neurons are plastic.
The preparation of derived maps i.e., maps that are compiled from other maps or existing data involves the search for, and evaluation of, all extant data pertaining to the subject area.
We derive Poincaré maps that relate the firing times of a network of two neurons coupled with reciprocal inhibition.
These are typically very detailed products (with a small footprint on the ground) and provide much more topographic information than from Digital Elevation Models (DEMs) that were derived from topographic maps.
In the current study, we are interested in predicting phase-locking by deriving maps that combine PRCs with information arising directly from synapses that display frequency-dependent short-term plasticity.
We have used approaches that derive maps of contemporary malaria risk and approximations of receptivity within the same space time MBG framework resolved at the district level in Somalia.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com