Sentence examples for dimension which may from inspiring English sources

These findings shed light on a new dimension which may be responsible for diverse rates of uptake of a public good schemes with practical implications for scheme promotion.

However, these methods cannot handle the threshold constraints in each dimension, which may produce more candidates to test while discarding valid ones.

It is also notable from the analysis of Fig. 6 that the magnitude of the uncertainties in the electric field decreases in all dimensions in the central region of the EEJ (panels for 105.1 km), except for the MSIS dimension, which may lead to higher uncertainties.

The ordering of genes produced by hierarchical clustering reduces this variability to a single dimension, which may not accurately reflect the differences between expression profiles.

The increase in distance between the implant abutment interface (microgap) and the bone surface The increase in horizontal soft-tissue dimension, which may protect the bone crest.

On the one hand, with evaluation and audit-driven process there is the possibility that observation may acquire a threatening, confrontational dimension, which may alienate the teacher.

The monument is, in fact, Big Brother in three dimensions, which may or may not have been what Mr Laurence Bradshaw, the sculptor, intended.

Different models lead to different measurement matrix dimensions, which may affect the parameter updates in VSBL.

In conclusion, experimentally-validated heat pipe temperature distributions were successfully simulated in two dimensions, which may help improve the accuracy and efficiency of heat pipe design.

We present a new family of high order accurate fully discrete one-step Discontinuous Galerkin (DG) finite element schemes on moving unstructured meshes for the solution of nonlinear hyperbolic PDE in multiple space dimensions, which may also include parabolic terms in order to model dissipative transport processes, like molecular viscosity or heat conduction.

Taking performance curves in Figure 7Ia, IIa as an instance, using Dfs = 5 to represent 60 users and 200 users are apparently not as effective as using Dfs = 12, even though Dfs = 12 could have utilized seven additional less-discriminative dimensions which may, in an intuitive sense, give a lower classification performance.