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Klein and Model used an aggressive style on the street, confronting subjects head-on with their cameras.
The model used an individual-based patch choice mechanism, whereby herbivores move from patch to patch seeking food with the highest nutrient intake characteristics.
The model used an artificial intelligence (AI) technique that is non-parametric and designed to capture a dynamic relationship between input and output variables.
The filtration model used an empirical relationship to describe the pressure dependence of the local solidosity of the filter cake along with a cell model to describe the relationship between the solidosity and the permeability of the filter cake.
The model used an input bolus dose of siRNA and computationally and experimentally showed that knockdown duration was dependent mainly on the doubling time of the cells to which siRNA was delivered, while peak knockdown depended primarily on the delivered dose.
The CNV detection model used an HMM approach; predictions of deletions or duplications utilize relative hybridization intensity data for each probe.
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The survival model used a Cox modelling procedure.
It considered about 500 variables; the final model used a smaller number, 30, that together made a strong prediction.
The old model used a 28 nanometer chip design, which is roughly three generations from current semiconductor technology.
The first evaluated model used a CART analysis.
The structure of the model used a cohort approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com