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Particularly, we introduced a predictable contact model by achieving the probability distribution of contact between any pair of SUs, aiming to measure the uncertainty of contact.
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We sought to validate MIF in tumour models by achieving a complete inhibition of its expression in tumour cells and in the tumour stroma.
Cell division, when included in a model, is achieved by reducing the cell size by one half (e.g., [ 18]).
Very good agreement between data and model was achieved by assuming the oxidation reaction to be instantaneous (limited by oxygen supply).
Further validation of the model was achieved by introducing much coarser particles in the feed.
Solution of the proposed model is achieved by using ILOG OPL Studio version 6.3.
Verification of the model was achieved by comparing simulation results with experimental data.
The results for the hexagonal model are achieved by using the values of R C as the inter-site distance.
Enhanced phenomenological consistency and immunity against overfitting of the MLP model were achieved by embedding specific domain prior knowledge.
Validation and calibration of the theoretical model are achieved by comparison with data from unconfined compression tests.
Correct pressure distribution over the model is achieved by using an optimal "open area ratio" and length of slatted ceiling.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com