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In order to ascertain the impact of the refinement stage we compare the resulting disparity maps with and without this stage in computation of NOMD approach (Figure 15). Figure 15 The raw NOMD disparity maps without refinement (left) and with refinement (right).
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Their application represents a major impact on the refinement of in vivo studies in animal models, in particular for allowing longitudinal monitoring of the onset and the progression of disease within the same animal, and studying the biological effects of drug candidates and their therapeutic effectiveness.
Finally, the results show the positive impact of the last refinement on reducing the complexity of the inference mechanism.
Section 4.4 provides additional insights on the impact of the proposed refinement step.
Additional studies include the impact of grid refinement and the application of a coordinate transformation to the homotopy as measured through the traceability and linear solver performance metrics.
Fig. 3 Impact of refinement for the calibration scene and the Kinect V2. a Difference between the virtual reflectance image and the observed image.
10.7554/eLife.05421.015 Figure 9. Impact of post-refinement on the anomalous signal in the thermolysin diffraction dataset.
Impact of post-refinement on the quality of electron density maps and models of thermolysin.
10.7554/eLife.05421.014 Figure 8. Impact of post-refinement on the hydrogenase diffraction data set.
The approach prospectively follows a body of evidence and seeks to track the impact of the evidence on the development or refinement of policy at national or local level.
The impact of adaptive mesh-refinement in computational partial differential equations (PDEs) cannot be overestimated.
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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