Sentence examples for mathematical model capable from inspiring English sources

A simplified mathematical model capable of elucidating the generation, transmission and radiation of broadband shock-cell noise from dual stream jets is developed.

The membrane reactor has been modelled using a 2D mathematical model, capable of modelling the non-ideal flow pattern formed in this type of reactors.

To develop a mathematical model capable of describing the static and dynamic motion response of the lumbar spine to posteroanterior forces.

In this paper, a mathematical model capable of simulating pH-sensitive hydrogels is refined to extend its application to electric-sensitive hydrogels.

By tracking the wave front propagating through the column, a simple mathematical model capable of describing the essential column dynamics is derived.

The aim of this study is to develop a mathematical model capable of predicting the water loss with time, in order to optimise the feeding frequency enhancing sludge dewatering and expanding the lifespan of the system.

The multiscale complexity of cancer as a disease necessitates a corresponding multiscale modelling approach to produce truly predictive mathematical models capable of improving existing treatment protocols.

To achieve these goals one needs to develop comprehensive mathematical models capable of predicting the molecular and morphological properties in terms of reactor configuration and operating conditions.

Despite the numerous studies carried out in the past, there still is a lack of simple mathematical models capable of foreseeing the residual opening of fractures filled with granular particles and subjected to a confining pressure.

Due to the biological complexity of lymphoid organs, the development of mathematical models capable of elaborating the lymph node architecture and functional organization, has remained a major challenge in computational biology.

The parameters of the quadratic model for each response variable were estimated by multiple linear regression (MLR), and statistical analysis of the results led to the elucidation of mathematical models capable of predicting the behavior of the responses as a function of the main variables involved in the process.