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A complete example, using the simulation model and data modified from a previous real-world case study, is provided in this paper to illustrate how the methodology and cost modelling are applied for the optimal investment decision support.
Data modified from Hamada and Fujii (2007).
Lithology modified from Kuang et al. (2012) and geochemical data modified from Kuang et al. (2014).
Co-seismic surface deformation observed by Multiple Aperture Interferometry (MAI) analysis using ALOS-2/PALSAR-2 data (modified after Geospatial Information Authority of Japan 2016a).
We combined these data to a set of vectors in the form of: V_{text{activity}} = {mathrm{UPA, data modified, data read}}.
Consequently, these actions generate a similar fingerprint concerning usage profiles (e.g. data modified or read) within a predefined period of time.
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In CouchDB, multiple replicas can have their own copies of the same data, modify them, and then synchronize these changes at a later time.
Our data modify the model slightly, to show that genetic instability is not required in this process.
We are also interested in the extent to which the posterior pdfs, which express the probability of each parameter given the data, modify our prior beliefs.
As you gather new data, modify the forecast to reflect this.
Different algorithms, all based on distances between original data and modified data, are introduced in this paper, with the intention of satisfying the benchmarking property.
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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