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Over 180 groups around the world have already taken this step, including Syracuse University, which on Tuesday committed to divesting its $1.18bn£799m9m) endowment.
The main steps of the process are: Step 1 Data Acquisition: several approaches can be considered for this step including automated discovery and retrieval from distributed repositories, remote sensing, participatory sensing and citizens' science, etc.
A gene tree can then be estimated from the MSA constructed for this domain; many methods are available for this step, including maximum likelihood (e.g. RAxML [ 64]), neighbor-joining [ 65] and Bayesian approaches (e.g. MrBayes [ 66]).
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This step includes the Mongolian Plateau, the Tarim Basin, the Loess Plateau (loess is a yellow-gray dust deposited by the wind), the Sichuan Basin, and the Yunnan-Guizhou (Yungui) Plateau.
This step includes the gathering of information from experts.
This step includes neutralizing the weight of decision matrix and generating fuzzy un-weighted matrix (R).
Finally, this step includes verifying that the data matches one or more DS subtasks in the last step.
This step includes collecting sample data that are available and deciding which data, including format and size, will be needed.
This step includes creating a personal profile for the PI analogous to the institutional profile created when an institution registers.
This step includes assessing the similarity of results obtained by using different sampling techniques and clustering methods.
Input parameters for this step include molecular species of the fluid and boundary solid and the potential parameters.
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