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A model for calculating air water interaction at the surface of the ocean and a model that numerically simulates the coupled airflow and water current of mesoscale circulation is proposed.
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Using mathematical models that numerically simulate each model of splenic B cell population dynamics and fit them to the experimental data, we have determined which models best fit the in vivo labeling data.
Groundwater flow in a 24-km area surrounding the Albuquerque well was simulated with a local scale model that was numerically coupled to a modified version of the regional groundwater flow model of the Middle Rio Grande Basin (Heywood 2013).
For example, the largest biological model that has numerically been analyzed for bifurcation in [ 1] consists of 25 metabolites and 37 parameters and the one in [ 2] has 22 metabolites.
For our observationally based method we rely on a geostatistical analysis of ground observations of PM2.5 concentrations because of the relatively large number of monitoring stations providing accurate measurements across the U.S. By combining methods like LUR and BME we can create a model that is numerically efficient, applicable and interpretable over a large domain size.
The normalized tracer concentrations are fitted using a non-linear least square method and the piston-dispersion-exchange model that is solved numerically using the finite differences method.
By performing these experiments, we wanted to produce a geologically conservative output as well as an earth model that represents a numerically accurate subsurface environment.
This paper describes a new discrete particle model that is intermediate between the numerically intractable local instant description and the fully averaged two-fluid model, thereby providing a more detailed but still tractable description of dynamical two-phase flow phenomena.
Using recent recurrent network architecture based on the reservoir computing approach, we propose and numerically simulate a model that is focused on the aspects of a flexible motor memory for the storage of elementary movement patterns into the synaptic weights of a neural network, so that the patterns can be retrieved at any time by simple static commands.
By extending the pricing model that allows a second default, we derived and numerically solved a system of four coupled PDEs.
We numerically characterize the feedback Nash equilibrium of a discrete-space model that still captures the spatial interactions among agents.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com