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Simulation results show that the present FQoS metrics are effective in service discovery.

The results show that the framework and metrics are effective for the evaluation of project performance throughout capital project delivery.

The proposed metrics are effective and have various useful properties, which are demonstrated by theoretical and experimental analysis.

Results from artificial landscape simulations demonstrate that edge-based landscape metrics are effective measures of landscape fragmentation, capturing important aspects of landscape fragmentation not detected by patch-based metrics.

In addition to these desirable properties, the PAI contains useful information regarding the KWII because it represents the cumulative phenotype-associated synergy present in all subset combinations of the variables X1, X2,..., X K and P. In Results, we will demonstrate that both the KWII and PAI metrics are effective and efficient for GEI analysis.

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Our study demonstrates that spatial pattern analysis with landscape metrics is effective for analyzing source-sink dynamics of air pollution and its potential drivers.

The results showed that all the metrics were effective in quantifying a certain component of spatial patterns, and proved that what the metrics quantified were not a single component but the complexity of several components of spatial patterns.

They found out that the combination of these metrics is effective in predicting vulnerable files.

Network-based metrics are an effective way to identify targets and their combinations based on the context-dependent roles they play within the system.

In summary, the two proposed metrics are proved to be effective in demonstrating the spatio-temporal variation of habitat isolation and its causes, as well as identifying the extent and intensity of the urbanization isolation effect.

Monitor key metrics to understand if goals have been met and improvements are effective.

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