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GAIA is an atmosphere-ionosphere coupled model for Earth that was developed by researchers in Japan (Jin et al. 2011, 2012).
In Part 1 of the series the analytical model for Earth coverage by satellites' swath conforming to the essential of discontinuous coverage, in contrast to continuous coverage, is presented.
Current practices for designing PE pipes in North America is based upon American Society for Testing and Materials (ASTM) F 1962, which is a modified version of Terzaghi's arching model for earth pressure estimation.
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Therefore, the core is now thought to be composed of Fe Si S (e.g., Malavergne et al. 2010; Chabot et al. 2014) rather than Fe S, which is generally taken as a good model for Earth-like planetary cores.
In this section we analyze the new strontium surface reactions for amorphous silica and goethite together with other alkaline earth surface reactions to re-calibrate Sverjensky's [16] predictive model for alkaline earth sorption.
Then, modeling was done to find a simple suitable model for rammed earth structures.
We model strontium sorption to amorphous silica and goethite using the same set of surface species to contribute to an internally consistent model for alkaline earth sorption that can be used for a wide range of solution and substrate compositions.
In this paper new strontium sorption data to amorphous silica and goethite collected over a range of total strontium concentrations, pH, and dissolved carbonate concentrations are described using a surface complexation model that builds on and further calibrates Sverjensky's [16] predictive model for alkaline earth sorption.
The unique structural architecture of Archaean terranes has generated competing models for early earth tectonics.
Such a detailed commercial scale process model for recycling rare earth elements provides an advance to the science.
Similar motivations have led to the development of multiple models in other sectors as well as model intercomparison projects (e.g. the World Climate Research Program for earth system models (http://www.wcrp-climate.org/) or the Agricultural Model Intercomparison and Improvement Project (AgMIP; www.agmip.org) that includes activities for model intercomparisons and improvement).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com