Sentence examples for transformation model with from inspiring English sources

The random wave transformation model called PEGBIS (Parabolic Equation with Gradational Breaker Index for Spectral waves) by Goda [Goda, Y. (2004): A 2-D random wave transformation model with gradational breaker index, Coastal Engineering Journal, JSCE and World Scientific, 46 (1), pp. 1 38.] produced good agreement with several laboratory and field data of longshore currents.

18– 20 In this study, we established an in vitro cell transformation model with NPYR as a carcinogen to induce malignant transformation of HPV-16 immortalized human cervical epithelial H8 cell.

Royston and Parmar proposed ML for transformation models with cloglog and logit links, [ 51], which are, however, the links of less interest here.

Although these studies have thus far relied on the use of known oncogenes, future studies using the cell culture transformation models with gene libraries should help identify novel cellular genes that participate at various steps of breast cancer progression.

B-splines were used to model treatment time dependent effects In the right panel of Figure 2 are also reported the averaged survival probabilities obtained by the CGPM using the Cox model and the transformation model both with the time-dependent effect of treatment.

A recently developed multiscale martensitic transformation model is combined with a plasticity model to simulate the transformation-induced plasticity effects of a grain of retained austenite embedded in a ferrite-based matrix.

In the present work, the "additivity rule" was proved to be compatible with an analytical transformation model assuming mixed nucleation (with site saturation and continuous nucleation as two extremes), for some specified conditions.

In order to verify the transformation model, the processing method with random censoring data is used.

The transformation model using pseudo-values with identity link is a valuable alternative to the CGPM when the time dependent effect in the Cox model is unknown and modelled using a flexible method.

The proposed Bayesian approaches account, rationally and transparently, for the transformation uncertainty associated with the transformation model between φ′ and CPT data.

The wave transformation model is validated by comparison with measured nearshore directional wave spectra in 13 m water depth.