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Deformation monitoring of structures is a common application and one of the major tasks of engineering surveying. Terrestrial laser scanning (TLS) has become a popular method for detecting deformations due to high precision and spatial resolution in capturing a number of three-dimensional point clouds. Surface-based methodology plays a prominent role in rigorous deformation analysis. Consequently, it is of great importance to select an appropriate regression model that reflects the geometrical features of each state or epoch. This paper aims at providing the practitioner some guidance in this regard. Different from standard model selection procedures for surface models based on information criteria, we adopted the hypothesis tests from D.R. Cox and Q.H. Vuong to discriminate statistically between parametric models. The methodology was instantiated in two numerical examples by discriminating between widely used polynomial and B-spline surfaces as models of given TLS point clouds. According to the test decisions, the B-spline surface model showed a slight advantage when both surface types had few parameters in the first example, while it performed significantly better for larger numbers of parameters. Within B-spline surface models, the optimal one for the specific segment was fixed by Vuong's test whose result was quite consistent with the judgment of widely used Bayesian information criterion. The numerical instabilities of B-spline models due to data gap were clearly reflected by the model selection tests, which rejected inadequate B-spline models in another numerical example.

In this work, for the first time a coarse-grained model in a mesoscopic dynamic (MesoDyn) simulation for a pharmaceutical nonionic surfactant Brij97 was presented. By using this coarse-grained model, the morphology transition from oil in water (O/W) to a bicontinuous microemulsion formed in the Brij97/isopropanol/isoamyl acetate/H 2 O quaternary system was predicted. Furthermore, the effect of emulsifier/isoamyl acetate mass ratio, Brij97/alcohol mass ratio and alcohol structure on the droplets size and kinetic formation process of the O/W microemulsion were studied. These MesoDyn predictions were consistent with experimental measurements. This makes it possible to further predict the formation mechanism of complex drug-loaded aggregates of Brij97 by using this coarse-grained model.