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We developed a CA1 pyramidal cell model calibrated with a broad spectrum of in vitro data.
The post- AD 536 irradiance anomalies can be reconstructed using a model calibrated with the modern δ13C record.
The final model (calibrated with all period data) showed a reasonable accuracy, attending to the validation tests.
The simulation results were compared and the model calibrated with water surface elevation records of the previous floods.
Energy savings were calculated using an empirical energy and IEQ model calibrated with sensed data from the building.
To clarify issues, we developed a CA1 pyramidal cell model calibrated with a broad spectrum of in vitro data.
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A 3D nonlinear numerical model was developed also, using the finite element (FE) method, and analytical models calibrated with experimental results and new data were generated.
Our results demonstrate that leaf spectra-trait relationships vary with time, and thus tracking the seasonality of leaf traits requires statistical models calibrated with data sampled throughout the growing season.
These elements rely on the development of a geological site model, documented observations of over stressed rock in pillars or near the boundary of underground openings, and iterative two- and three-dimensional numerical modelling calibrated with observations.
On the other hand, models calibrated with heated aliquots from a unique sample, even from a composite sample, should be totally avoided because, regardless of their apparent utility, they are prone to inaccurate predictions.
It was also evidenced that RSm and Am sorption is controlled by the same soil properties, and that Kd (RSm) values can be successfully predicted through the application of prediction models calibrated with Am data.
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