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Using computational fluid dynamics (CFD), two computational models of human nasal cavity model were reconstructed from CT-scans, where the difference between the two models was the presence of the nasal spray device accounting for the airway blockage at one of the nostrils.
ML trees under a GTR + G model were reconstructed for each partition, and the bootstrap support for alternative hypotheses was measured for each partition.
Optimal PhyML trees (GTR + G substitution model) were reconstructed for sampling intervals that increased in length by 250 bases from the most varied end of the OV-sorted alignment.
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After convergence, a Euler angle was assigned to each average image, 24) and a primary 3D model was reconstructed using simultaneous iterative reconstruction techniques.
In order to further elucidate the physiology of R. ferrireducens, the publicly available genome sequence was annotated in more detail and a genome-scale metabolic model was reconstructed using the constraint-based modeling approach [ 13- 15].
A 3D model was reconstructed and printed based on patient-specific magnetic resonance images.
Additionally, the pore-throat network model is reconstructed with digital cores technology.
As shown in Fig. 3, 3D craniofacial model is reconstructed from the DICOM data of the CT recording.
In the preprocessing stage, a coarse room layout and geometric model is reconstructed from the point cloud.
From a CT-scan of a L3 non pathologic vertebra, a 3D model is reconstructed with a CAD software (Catia).
The draft model was reconstructed by amassing reactions from two reference models of Y. lipolytica, iYL619_PCP (Pan and Hua 2012), and iYali4 (Kerkhoven et al. 2016).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com