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A probabilistic expert semi-quantitative (PESQ) coding methodology is employed to assess the importance of factors that affect the stability of rock slopes within the rock engineering systems (RES) framework.
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This article does not intend to address the implications or impact of this adapted RE framework.
The results are indicative of a significant growth in the number of efficient operators and managers in IRE framework compared to RE framework.
Besides, the efficiency mean of managers and operators in IRE framework has experienced the growth of 1.8% and 5% compared to RE framework, respectively.
The efficiency gap between managers and operators in IRE framework has also enjoyed the improvement of 88% compared to RE framework.
The no-correlation assumption between the individual effects and the covariates can be relaxed in a RE framework by applying the Mundlak-Chamberlain method to the count data case.
For this a number of requirements engineering (RE) frameworks were developed.
To address the first aim, the implementation of the surveillance system was evaluated using the RE-AIM framework.
System implementation was evaluated quantitatively, using the RE-AIM framework, and qualitatively, via semi-structured interviews with targeted-users.
doi: 10.1111/sms.12216 for the results of the evaluation of the 'E' domain of the RE-AIM framework.
The equation solution is cast in a re-solution framework, in which we use a GMRES algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com