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The proposed model enables fully integrated applications, using big data to enhance hospitality decision making as well as strengthen competitiveness and improve strategies performance.
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The first choice, the fully customized (FC) score model, enables comparison of our proposed Bayes model with the best-possible score model designed from our patient sample by mimicking Higgins' method.
Comparisons of the FE results and analytical solutions reveal that the present analytical model enables the acceptable predictions of the low-velocity impact response of fully clamped asymmetric slender sandwich beams.
The employment of external 1D channel model enables more effective computations and gives maximum freedom in definition of realistic reaction kinetics, including non-linear rate laws and fully transient solution of adsorbed components.
The model is implemented into a reservoir simulator to enable fully coupled reservoir-wellbore simulations.
This new concept and LTS enable fully personalized treatment planning with glass microspheres to be achieved.
The model links surface land management and hydrology at the paddock scale (daily time step growth and water use, crop rotations and management) with a fully distributed groundwater model enabling the assessment of agronomic versus engineering options for landscape asset protection.
The joint modeling enables us to devise a novel scene adaptive and signal adaptive quantization that fully exploits the coding redundancies resulting from wavelet transform.
Ecological modeling enables us to disentangle these interactions and explore them both separately and in combination, in fully controlled simulations.
Models enable repeatable and predictable experiences.
Furthermore, our models enable target extrapolation.
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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