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Summary of model parameters and results.

Table 5 Summary of model inputs and output.

Table 5 represents a summary of model parameters calibrated for the test slabs used in this study.

Table 5 presents a summary of model parameters estimated from laboratory and back-calculation in this study.

Table 1 Summary of model statistics for the case study Model Training set Test set   n TR R 2 RMSE n TS Q 2 RMSEP CAESAR Model 2 378 0.797 0.600 95 0.797 0.600 R 2 Determination coefficient; RMSE Root-mean-square error; Q 2 Predictive squared correlation coefficient; and RMSEP Root-mean-square error of prediction.

Table 8 (waterholes) presents a summary of model results that revealed that herbaceous species Cynodon nlemfuensis, Hyparrhenia rufa, Aristida adscensionis, Oxytenanthera abyssinica, Hyparrhenia filipendula, Echinochloa haploclada, Chloris pychnothrix and Chloris virgata significantly increased with distance away from the waterhole piosphere (Table 8; also see Additional file 2: Figures B1 to B14).

Given such an algorithm, the recovery method CoSaMP [13] may be extended for model-based CS (See Algorithm 1 of [14] for the summary of model-based CoSaMP).

The paper also provides a summary of modeling of fluidized bed reactors (FBR) in some depth and give some empirical insight to key aspects in FBR scaleup design.

This paper presents a summary of models for deep beams from 73 publications, and focuses on a detailed evaluation of ten more recent models by using a database of 574 deep beam tests.

Table 4 Summary of models and included variables Variables Models Baseline Geo Social Visit Geo-social Geo-visit Social-visit Full Tweets x x x x x x x x Geo   x     x x   x Social     x   x   x x Visit       x   x x x.

Table S2 : Summary of Models: Coefficients.