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The framework is designed so that an initial model is constructed and then it gradually evolves according to the current state of online data without any human intervention.
In order to avoid using an uncertain model for volumetric simulation, the initial model is resampled and post-processed for uncertainty reduction.
The initial model is then updated to reference models using different sets of ambient vibration measurements at the reference state of the building.
The initial model is derived from the data and subsequently, feature selection and rule-base simplification are applied to reduce the model, while a genetic algorithm is used for parameter optimization.
This initial model is used to determine the strategy of the subsequent phases of investigation, such as whether to proceed with dredging as part of the engineering work, down to 17 m water depth, to remove the upper (younger) sands and thereby improve the opportunities for underwater survey of fluvio-deltaic layers of Mesolithic age.
In this regard, the initial model is designed by considering four main dimensions (Technology, Environment, Human, Organization) with seventeen variables based on reviewing of the existing extensive literature of information system in particular information technology adoption in line with prior HIS adoption studies.
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The initial model was built manually using COOT49.
An initial model was automatically built by Buccaneer54.
An initial model was built using Autobuild, and this model was further improved through iterative rounds of model building (COOT (ref. 34)) and refinement (PHENIX.REFINE35).
First, it needs to level with its current subscribers that it is in a beta mode and some changes to its initial model are inevitable.
Experimental phases, a density modified map and an initial model were calculated using AutoSol33 in Phenix34, with one molecule in the asymmetric unit and two zinc sites identified.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com