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A valid risk mitigation strategy requires accurately computed risks, and the first section of this chapter discusses this.
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Effective mitigation strategies require the accurate prediction of water quality in order to enhance community well-being and ecosystem health.
Recently proposed mitigation strategies require high detection rate and low false alarm; therefore, in this work, we compared the accuracy, detection rate and false alarm rate of our proposed EMFFS method with each filter method and the full dataset feature using J48 classification algorithm.
Some mitigation strategies require more realistic model assumptions (e.g., location based antiviral prophylaxis would require models that track geographic coordinates of individuals so that those within a radius of an infected individual can be identified).
CO2 capture and storage (CCS) is a climate-change mitigation strategy that requires an investment of many billions of dollars and tens of thousands of miles of dedicated CO2 pipelines.
We observed higher matching rates in the subdomains "risk evaluation and mitigation strategy (REMS) required" (50%) (5/10) and "requires new trial for safety".
A very effective mitigation strategy is required balancing the size and efficiency of the processes in the breeding and cooling loops, and the availability and efficiency of anti-permeation barriers.
FluTE and Ciofi, on the other hand, offer more options for mitigation strategies, but requires the knowledge of C/C++ programming language and the communication protocols for parallelization.
This strategy requires patience.
Mitigation strategies need to be timed early in treatment when the cost burden is highest.
Even risk mitigation strategies often require more budgets which may push project cash flows toward a negative side (Sato and Hirao 2013).
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