Sentence examples for identification of applied from inspiring English sources

Despite identification of applied forces that affect self-maintenance, proliferation, and differentiation of MSCs, mechanisms underlying the integration of mechanically induced signaling cascades and interpretation of mechanical signals by MSCs remain elusive.

To extend the empirical results from Ueda (2013), the analysis starts by following his identification strategy of applying the two-step method to a single dataset, KLIPS, and introduces HIES for the potential fathers' sample.

This may due to our more stringent identification method of applying InterPro accessions in pre-selection.

This paper presents a method for the identification of loads applied to a structure, using the concept of response transmissibility.

This paper illustrates the application of nonlinear identification methods as applied to identify the unknown parameters of three phase induction micromachines.

Methods of eddy structure identification are applied to velocity data of atmospheric surface layer flows modeled in a boundary-layer wind tunnel.

The project has been designed to evaluate the feasibility of electronic identification applied on a large number of motors and to validate the system in real field conditions.

Additionally, the latest methods of chaos identification are applied to confirm chaotic dynamics experimentally.

Next, we will observe the effect of the perturbation amplitude on the sensitivity identification by applying different ranges of random disturbance on the nodes.

Microscopic examination, compositional analysis, and phase/fiber identification were applied on fragments of golden-dragon Hexi painting, the most prestigious form of Hexi painting, which were sampled from Xitian Fanjing in Beihai Park (Beijing, China).

This study discusses the design and assessment of different parameter identification methods applied to robot systems, such as least squares, extended Kalman filter, Adaptive Linear Neuron (Adaline) neural networks, Hopfield recurrent neural networks and genetic algorithms.