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In this paper, we will show how the use of virtual reality helps designers to transform the functional definition of the product into the design of its structure, during the conceptual design phase.
The resulting parameters were then used to transform the functional slices using trilinear interpolation so that the resulting functional slices were aligned with the stereotactic co-ordinate system.
The rotational and translational parameters were subsequently transformed by linear scaling to a standard size and the resulting parameters were used to transform the functional slices by using trilinear interpolation (thus, functional slices were aligned with the stereotaxic coordinate system).
The normalized parameters were then used to transform the functional slices using trilinear interpolation so that the resulting functional slices were aligned with the stereotactic coordinate system, thus generating output data with a spatial resolution of 3×3×3 mm (27 cubic mm).
To transform the functional data into Talairach space, the functional time series data of each participant was first co-registered with the participant's 3-D anatomical data, followed by the same transformations of 3-D anatomical data applied to the functional data.
The junctional claudin-2 forms the selective cation channels that are sufficient to transform the functional "tight" junction into a "leaky" one [ 33].
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The next step is transforming the functional chunks into conceptual elements and linking between them to create the foundation of the model, the configuration of the elements.
Functional volumes for each subject were aligned to the transformed anatomical volumes, thereby transforming the functional data into a common brain space across participants.
Functional volumes for each subject were aligned to the anatomical volumes, thereby transforming the functional data into a common brain space across participants.
To minimize the effect of disease-related atrophy, we performed an additional, independent registration procedure thereby transforming the functional data set to a custom brain template or 'midspace'midspace
Using the properties of the Bernstein polynomial basis, we now transform the constrained functional regression problem (7) into a finite-dimensional least-squares problem with linear constraints.
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