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This flexible yet robust framework gives easily interpretable results, allowing managers as well as modellers to invalidate anomalous models and apply others to real-life scenarios.
There is something to be said for startups that identify successful services and business models and apply those to under-served niche markets.
In this work, we present results of virtual experiments based on different phase-field models and apply three different anisotropy functions.
We will use the representation learning techniques including word embeddings and compositional vector models, and apply a back-propagation algorithm based on gradient descent to learn the model.
Current modelling techniques can struggle to mesh correctly accurate unit cell models and apply the complex but necessary periodic boundary conditions required, often with sacrifices made in idealisation of the weave architecture.
Due to the high-speed operation of modern rail vehicles and severe in-service environment of their hydraulic dampers, it has become important to establish more practical and accurate damper models and apply those models in high-speed transit problem studies.
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Second, we use an innovative approach, using survival models, and applied this to study the dynamics of food safety certifications.
We pooled study results using random-effects models and applied meta-regression to identify associations with clinicopathological variables.
We estimated associations with EDCs in single-pollutant models and applied principal-component analysis (PCA) on the 27 pollutant concentrations.
We then generalized the model integration method described in Section 2.3 to more than two models and applied the method to integrate the six models.
Finally, quantitative methods for the estimation of myocardial blood flow (MBF) based on perfusion CMR data have been validated in animal models and applied to clinical studies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com