The phrase "alarming prediction" is correct and usable in written English.
It can be used when discussing forecasts or expectations that are concerning or cause worry.
Example: "The scientist's alarming prediction about climate change has sparked a global debate on environmental policies."
Alternatives: "worrisome forecast" or "disturbing outlook".
The collaboration began in 2006 when Boris Worm, a marine ecologist at Dalhousie University in Halifax, Nova Scotia, and other scientists made an alarming prediction: if current trends continue, by 2048 overfishing will have destroyed most commercially important populations of saltwater fish.
This alarming prediction comes at the same time as a separate, but connected, controversy over what should be the height of the reservoir behind the dam.Two months ago, 53 hydrology experts and government advisers sent a petition to China's top leaders, including President Jiang Zemin, saying they were concerned about a plan to speed up the filling of the reservoir and wanted it overruled.
According to the World Health Organization, the number of deaths will continue to rise across the globe, with the alarming prediction of 19.3 million new cases by 2025.
As Falk intently delivers this oral history, the lessons coalesce in one stark, alarming prediction: the N.B.A. and its players are heading for a profound labor battle.
This method was applied on 21 patients from Freiburg database, and it achieved a sensitivity of 75.8% and an average false-alarm prediction rate of 0.09/h.
Additionally, they can incorporate expert interventions, produce explanations for alarm predictions and consider effects of medication on state changes to reduce false alert probability.
The finding comes on top of some more alarming recent predictions.
The collected data are aggregated to a large data platform, which can realize real-time monitoring, perform fault alarm, fault prediction, asset management, intelligent service, auxiliary research, and development, and meet some individual requirements, thereby ultimately creating a more practical value.
We then made an alarm threshold prediction for each of the outbreak days, and for each desired specificity between 0.01 and 0.99, based on training using the semisynthetic data set.
The mechanism utilizes fusion condition, automatic alarm setting, nonlinear prediction models and assessment.
Most alarming are the predictions.
