Sentence examples for models should consider from inspiring English sources

Results from this study show that LUE models should consider species-specific efficiency factors rather than biome-specific factors.

Companies building AI and ML models should consider contributing entire AI and ML models to open source (beyond contributing the technology and frameworks to build such models).

Consequently, post-fire erosion models should consider the spatial arrangement of unburnt patches, and unburnt patches (>10 m wide) should be retained within prescribed burns to minimise erosion.

The results show demand for a far more bottom-up oriented approach: the models should consider objectives and general needs of end users to live up to their expectations.

Here we discuss that new preclinical ex vivo models should consider – in addition to common biophysical parameters such as matrix stiffness and bioadhesivity – a more comprehensive milieu of tissue signaling, nuclear mechanics, immune response, and the gut microbiome.

The basic models should consider the balances of mass, energy and momentum, meanwhile the evaporator models should include mechanisms to switch between them, for example from a complete evaporator to a flooded evaporator in case that the superheated region becomes extinct.

Instead, our analysis suggests that transport demand modeling should consider behavioral effects explicitly.

Therefore species distribution modelling should consider all ecologically relevant spatial scales.

A suitable assessment of the model should consider a complete local and/or external scan of the data set used.

Therefore, modeling should consider both measurable parameters and the dimension of time, which embodies all remaining parameters.

For example, in the case of Thailand, a compensation model should consider noise and air pollution as the main factors rather than consider only noise contour area.