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Results from qualitative studies indicate that nursing students perceive a gap between theory and practice and sparse implementation of EBP as a barrier to desired learning during clinical education [ 19]; and medical students would use EBP to a greater extent if their clinical supervisors encouraged them or expected them to apply EBP [ 20, 21].
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Other approaches combine interpolation and sparse implementations for the sake of performance [15 17].
A sparse particle implementation requires additional localisation in a reference space, and this localisation is realised here by employing the generalised multiple mapping conditioning (MMC) mixing model.
A sparse particle implementation of the multiple mapping conditioning / large eddy simulation (MMC-LES) model is assessed against direct numerical simulations (DNS) of non-premixed syngas combustion in the double shear layer configuration of Hawkes et al.
The TLISMNI method has desirable features that include avoiding numerical differentiation of the forces, allowing for an efficient sparse matrix implementation, and ensuring that the kinematic constraint equations are satisfied at the position, velocity and acceleration levels.
Using the TLISMNI method, which does not require numerical differentiation of the forces and allows for an efficient sparse matrix implementation, for solving complex and stiff structure problems leads to significant computational cost saving as demonstrated in this paper.
Some of these approaches are based on sparse Volterra implementations that are obtained by zeroing the less significant filter coefficients [9].
Moreover it can be employed in large-scale settings as it can work with sparse graph/matrix implementations.
Patient- and family-centered care has a long history, but the application of these principles to radiology is limited by infrequent direct patient contact for many radiologists; scarce peer-reviewed data in the radiology literature; and sparse access to implementation strategies, tools, and best practices.
Availability and implementation: SPARSE is freely available at http://www.bioinf.uni-freiburg.de/Software/SPARSE.
The performance of the solving stage is evaluated using two preconditioning techniques, including the comparison with the sparse-matrix CPU implementation.
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