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This is reassuring, as it confirms that S3D does produce a substantial improvement in depth realism, even when viewers are not aware whether they are watching 2D or S3D.
In conclusion, based on tissue-phantom studies, we have validated that the combination of DCA with L1-regularization can offer significant improvement in depth localization and spatial resolution for DOT images.
Conversely, Figure 2b and d clearly exhibits much improvement in depth localization, namely, most selected activations are presented within cortical regions for almost all participants when DCA is applied for 3D DOT reconstruction.
With DCA-L1, the reconstructed human brain images from a randomly selected human subject show significant improvement in depth localization and spatial resolution of the imaged activation region/volume in the brain.
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As examples it is worth to mention the following: 3D-laser extrinsic parameters estimation [2], color improvement in depth-color camera pairs [3], and joint-depth and color calibration [4].
Natural selection for fast reactors resulted in a huge leap in visual acuity, the theory goes, making possible vast improvements in depth perception; increased ability to see colors; and perhaps the development of early forms of communication via pointing, i.e. making someone else look at the important thing you're seeing.
We found that our method was able to reproduce the earlier observations with significant improvements in depth of coverage for validated or expected biological themes, but also produced additional insights that make biological sense.
Participants in this group also reported improvements in depth of sleep (p ≤ 0.0007) and sleep quality (p ≤ 0.0002).
In the future, with improvements in depth of proteome coverage, it may be possible to detect particular proteins which have been currently deemed "exclusive" to one cohort in both fluids.
In recent years, continuous improvement and in-depth investigation in both materials and electrical switching mechanism not only make a breakthrough in performance of digital non-volatile memory but also look for other possibility of memory functionality.
A methodology based upon graph theory and matrix method is developed for the efficiency analysis of a Combined Cycle Power Plant (CCPP) with a view that a person at managerial level may decide regarding efficiency improvement without in-depth knowledge of conventional methods of thermal efficiency evaluation.
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improvement in strength
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Justyna Jupowicz-Kozak
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