Sentence examples for probability of risks from inspiring English sources
The study, with the unwieldly title "Grid of the Future White Paper on Accommodating Uncertainty in Planning and Operations," suggests that utility planners and operators begin using software that judges the probability of risks to the power system.
Results: Most respondents (67%) expressed the desire to conceive a twin pregnancy, although they could not accurately estimate the probability of risks associated with this type of pregnancy.
Thus, we concluded that occurrence probability of risks and their potential impact on project objectives may be insufficiently reflected in anticipated project success, as otherwise, such deviations would not occur as frequently.
Some common elements exist across these theories, including the importance of personalising information and probability of risks, increasing motivation and readiness for change/action, understanding and influencing peers and social norms, enhancing personal skills and attitudes and ability to take action, and developing enabling environments through supportive policies and service delivery.
Model analyses suggest that: a) a two-digester design decreases the probability of risks > 10−4 compared with one-digester designs, b) risks associated with exposures to groundwater and aerosol pathways were, in general, lower than exposures to the direct ingestion pathway, and c) secondary transmission can be an important factor in risk estimation.
"One cannot assume that there's a zero probability of risk in any setting that I'm familiar with, and certainly not in the Olympic setting any more than any other.
Yet the best evidence we have is that the alleged link between autism and the MMR vaccine is non-existent and that the probability of risk on individual vaccines is zero.
You knew that the probability of risk would be too great against certain bowlers.
We devise isorisques that we propose as contours of equal probability of risk of pitting drawn on a map.
The proposed methodology is based on the application of Bayesian probabilistic networks to estimate the probability of risk of leakage.
Fuzzy models determine the impact values of the risk factors, and Markov processes determine the probability of risk occurrences.
