Sentence examples for maps for predicting from inspiring English sources

Results are further plotted on solidification maps for predicting grain morphology specifically in Ti 6Al 4V, and the effects of laser power and velocity on trends in grain morphology are discussed.

In the current study, cooling rates and thermal gradients at the onset of solidification are numerically extracted from the 2D Rosenthal solution throughout the depth of the melt pool, and results are plotted on dimensionless process maps for predicting solidification microstructure.

The early warning capability of our model was evaluated by comparing the validity of the raw and modeled early season disease maps for predicting the case distribution late in the transmission season (October 1).

The overall objective of this study was to evaluate an effect of potential factors contributing to PD occurrence accounting for spatial congruity of neighboring infected sites, and then create quantitative risk maps for predicting PD occurrence.

Mintiens et al. [ 7] found that local herd density is a risk predictor for herd infection with CSFV and suggested the use of density maps for predicting the risk of transmission of CSFV infection from the neighborhood to the reference herd.

The mapping of failure region from the nondimensional analysis is instructive as a design failure map for predicting the fracture behavior of asymmetrical single lap joints.

For each TNBC cell lines, we used the top five ranking kinases (lowest chi-square p-values) as the query to K-Map for predicting effective compounds.

These differences could translate into different spread rates in jack pine and hybrid stands than in lodgepole pine, making accurate distribution maps important for predicting the impact of MPB.

The QLQ-C30 separate algorithm performed better than existing mapping algorithms for predicting utility values for patients in poor health, but still did not accurately predict mean utility values.

The findings confirm the utility of policy analysis theories and stakeholder mapping tools for predicting the likelihood of policy change and informing the strategic approaches for achieving such change.

The primary end point was to establish the effectiveness of hyperspectral tissue oxygenation mapping (HTOM) for predicting whether DFUs in both type 1 and 2 diabetic patients would heal.