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The value of available risk scoring systems is uncertain and these systems can be outdated.
This changed with the shale boom, where new studies confirmed that the magnitude of methane leaks from natural gas production systems is uncertain and may even be great enough to change this broadly accepted assumption [1].
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Quantitative predictions of the behavior of many deterministic systems are uncertain due to ubiquitous heterogeneity and insufficient characterization by data.
As the parameters of the two systems are uncertain, the nonlinear controller and parameter update algorithms are designed based on the fractional stability theory and adaptive control method.
There are many possible properties one can measure on an aerospace coatings system and the cohort of designers and users of these systems are uncertain of which is the absolute correct set of measurements to choose.
There is on-going interest in the application of adaptive fuzzy model-based predictive control techniques which attempt to formulate and solve the control problem when the systems are uncertain and non-linear.
The parameters of such systems are uncertain.
The underlying assumption is that training sets are finite, urban life situations are dynamic, and behavioral patterns of urban systems are uncertain, and so on, adding to the limited routinely generated sensor data in the context of real-time urban functioning.
Given the various evidence-based guidelines available at the time, the degree of their awareness and implementation into Arizona healthcare systems was uncertain.
The reasons for the relatively poor clearance of interleukin-6 with the MARS™ (Gambro AB, Stockholm, Sweden) and Prometheus™ (Fresenius Medical Care AG & Co. KGaA, Homburg, Germany) systems are uncertain.
The regulatory system is uncertain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com