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Now dozens of manufacturers are cranking out turbine models, from small designs, each aimed at providing power for a single house, to huge machines with 100-foot blades that can supply between two and three million kilowatt-hours in a year, enough to power at least 500 households.
OpenSWPC was designed to apply various models from small to regional scales with the use of various seismic source representations and velocity models.
They can operate in either a linear or a nonlinear fashion and are notable among machine learning techniques in view of their ability to produce generalizable models from small datasets [22].
An effective shrinkage estimation procedure was developed for learning the VAR models from small sample data [1].
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We investigate the methyltransferase activity of EcoR124INT, characterise the enzyme and its subunits by analytical ultracentrifugation and obtain low-resolution structural models from small-angle neutron scattering experiments using contrast variation and selective deuteration of subunits.
Composition of model programs is a versatile technique that, at one end of the spectrum, enables one to build up larger models from smaller ones, and at the other end of the spectrum allows one to restrict larger models to specific scenarios.
GWR results revealed great spatial variations in the relationships across scales, with an increasing explanatory power of the model from small to large block scales.
Future Family, the startup offering more affordable plans for fertility services like IVF and egg freezing, is switching its model from small loans for these services to subscriptions.
Population pharmacokinetic (popPK) models derived from small pharmacokinetics (PK) studies in neonates are often underpowered to detect clinically important characteristics that drive dosing.
Local models developed from small samples tend to systematically bias.
If you line the three sales models up from small indie stores to big discounters to Amazon, you'll see that neighbors compete with and harm one another.
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