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The challenges to automatically generate assembly sequences using CAD models lie in intelligent reasoning and analysis of the modelled assembly data.
The strength of these models lie in their solid theoretical foundations built on rigorous mathematical equations designed to process numerical (quantitative) data related to economics and the environment.
Differences among employed models lie in the applied experimental devices, the host rock analogue material (dry quartz sand, flour, etc)., and the magma chamber analogue (water or air-filled balloons, silicone reservoirs, etc).
The advantages of minimalist protein models lie in their ability to rapidly collect meaningful statistics about folding pathways and kinetics, their ease of characterization with coarse-grained order parameters and their concentration on the essential physics of the problem to connect with experimental observables for a target protein.
The utility of Te and Tes models lie in the fact that they take a multivariate problem involving inputs of air temperature, ground temperature, solar radiation, and wind speed and map them into a single thermal metric on a spatial scale appropriate for the animal.
Drawbacks of bottom-up models lie in their basics.
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The main difference between the different models lies in the way the step response is computed.
The difference between the two models lies in the representation of the capillary entry pressure.
The difference between the models lies in the numeric system used for the parameterization.
The main difference between the GMVAR model and previous mixture VAR models lies in the definition of the mixing weights that govern the regime probabilities.
The main contribution of the models lay in their role as boundary objects directing attention towards organizational and systems thinking, culture, and collaboration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com