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Automated comparative modelling of 3D protein structures, which identifies templates through sequence identity on the Swiss model server, provides the most accurate model by: (i) finding the known structures (templates) associated with the sequence to be modelled (target); (ii) aligning the target sequence with the templates; (iii) constructing the model; and (iv) measuring the model (10).

The processes of analysis and representation include four stages: (i) data acquisition, (ii) data analysis, (iii) parameterization of the representation model, and (iv) the final representation of the dance style.

This web page performs four functions – (i) uploading a new building, (ii) downloading a partial model, (iii) uploading a partial model, and (iv) querying the Social BIMCloud using the CQL language provided by Cassandra.

They are (i) the original slip model, (ii) 5 models with different strike angles with respect to the strike of the original model, (iii) 5 models with different dip angles with respect to the dip of the original model, and (iv) 50 models that were generated using the preceding spectral analysis and synthesis procedure (see the 'Inversion-based source models' section).

The TephraProb package provides a framework for i) accessing, pre processing, and analyzing model inputs (e.g. retrieval and probabilistic analysis of Reanalysis wind data), ii) building probabilistic eruption scenarios, iii) running a suitable tephra dispersal model and iv) post-processing and exporting model results.

This mainly requires four iterative steps: (i) image analysis and image quantification, (ii) model formulation, (iii) simulations of the model, and (iv) model validation and parameter identification.

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Four models were tested: (i) a standard neutral model (SNM), (ii) a population expansion model (PEM), (iii) an instant population size change model (ICM), and (iv) a bottleneck model (BNM).

These roles covered all the four governing modes as proposed by Kern, i.e., (i) "Planning and Regulation," (ii) "Direct Services," (iii) "Consumer and Role-model," and (iv) "Facilitating and Encouraging Action" [38, 55].

Integrative structural modeling uses multiple types of input information and proceeds in four stages: (i) gathering information, (ii) designing model representation and converting information into a scoring function, (iii) sampling good-scoring models, and (iv) analyzing models and information.

The proposed multi-model OSVR (MOSVR) method provides four types of adaptation strategies: (i) adaptive combination based on Bayesian ensemble learning; (ii) online offset compensation; (iii) incremental updating of local models; and (iv) database updating.

This means we report on four groups of models – (i) whether a respondent has any OOPE, (ii) the amount of OOPE for those with any OOPE, (iii) the joint modelling of the two previous models, and (iv) models based on whether the respondents faced a heavy cost burden from their conditions.

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