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The public sector needs to develop strategies to optimise its efficiency in order to achieve a sustainable healthcare system, such as a well designed benchmarking program and incentives for performance [ 5, 6].
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The performance of the proposed framework on properly designed benchmark problems is compared with effective GA and ACO approaches taken as algorithm components.
For any existing and newly developed uncertainty quantification methods, which are not (fully) verified, the designed benchmark problems in this work can facilitate the verification process of those methods.
We will show the efficiency of OSLOM in unveiling overlapping vertices in suitably designed benchmarks.
All of these elements highlight the need to integrate the computational models with the data by (1) operationalizing the definitions of visual attention tasks and (2) designing benchmark datasets to measure success on specific tasks, under these definitions.
Rohrer and Baumann (2009) used a refined nearest neighbor analysis method to design benchmark datasets for virtual screening based on information in the PubChem database.
Therefore, analog and RF circuits can be designed and benchmarked.
The DUD-E was originally designed for benchmarking of docking methods [45].
The directory of useful decoys (DUD) was originally designed for benchmarking of docking methods [22].
These risk scores have been designed as benchmarking tools in order to compare different patient groups rather than for individual outcome prediction.
These errors can prohibit the use of WWTP data for process evaluation, process design, benchmarking or modelling purposes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com