Sentence examples for models provide us from inspiring English sources

Experimental tests and numerical models provide us the information needed to optimize the selection and use of adhesives, and provides the foundation to implement possible improvements on their joint properties and/or configurations.

The biological mechanisms revealed from the animal models provide us reference to design our nanoplatforms, which should be the primary principle instead of endless sophistication of the nanoplatforms.

These independent assessments, in particular with respect to previous IGRF models, provide us confidence in our ability to accurately predict geomagnetic field, in particular SV, with our geomagnetic data assimilation system MoSST_DAS.

As shown in "Global drift-kinetic simulation of the ring current: GEMSIS-RC Model" section, combination of GEMSIS-RC ("Global drift-kinetic simulation of the ring current: GEMSIS-RC Model" section) and GEMSIS-RB ("Relativistic guiding center test particle model: GEMSIS-RB model" section) models provide us a new tool to investigate the efficiency of radial transport with Pc5 ULF waves.

The databases and the processing applied to them is described in Section 4. The models provide us first with an estimation of the quality enhancement when migrating from NB to WB; this enhancement is quantified in Section 5 and compared to the values from auditory tests.

The models provide us with a sense of what is an "expected" response.

The availability of the analytical solutions for the Vasicek and Cox-Ingersoll-Ross models provides us with a framework for assessing our new numerical scheme and then proceed to the pricing of American options for which no analytical solutions exist.

Especially, works on soft finger modeling provide us with a good hint from the viewpoint of supporting both frictional force and moment, since this type of finger tip can resist frictional moment around the axis perpendicular to the contact surface as well as frictional force.

An ANFIS advantage against ANN is that the model provides us with linguistic information about the system, but ANN provides better results for the engine.

Our MAC model provides us with an abstraction of the essential features of 802.11e MAC, while avoiding the complex details of the latter.

The case presented in the paper is based on a geyser manufacturer, and its application on the model provides us with the underlying tradeoffs between the two objectives.