Sentence examples for risk assessment knowledge from inspiring English sources

Twigg's (2007) Characteristics of Disaster Resilient Communities framework is informed by the five priority actions of the Hyogo Framework for Action 2005 2015 (governance, risk assessment, knowledge and education, risk management and vulnerability reduction, and disaster preparedness and response), which enables a holistic overview of resilient communities.

And can enough solid, reliable risk assessment knowledge be gained in time to ensure that the public will or even that it should be comfortable with the proliferation of the technology?

Although adolescents know about the risks, and they have good risk-assessment knowledge, there are situations where they do "not think" at all – they just do [ 30].

In contrast, Monte Carlo simulation, Bayesian analysis, or probabilistic risk assessment require knowledge of probabilities.

Among the methods used to achieve this goal were, reviewing the available literature, interpreting relevant information for risk assessment, disseminating knowledge on environmental health issues for a wider use by different stakeholders, and for supporting informed policy making.

Without a database to compare chemicals with unknown MOAs, the risk assessor will not be able to interpret the significance of the gene expression responses within the context of characterizing ecological risk, because many gene expression changes are not anchored to adverse effect and risk assessment requires knowledge of the MOA and dose response relationship.

This approach, in which dose addition is used for substances with a common mechanism and independent action is used for substances with different modes of action, clearly shows how important it is to base a cumulative risk assessment upon knowledge of mode of action.

The risk assessment requires the knowledge of dust explosion hazard data.

Modeling of the trajectory of windborne debris for incorporation in wind hazard risk assessment requires the knowledge of debris aerodynamics.

Our results provide insights to design more efficient risk assessment studies expanding knowledge over the group toxicity.

In addition to cumulative exposure evaluation, understanding mechanisms of interaction among mixture constituents is important for realistic risk assessment because mechanistic knowledge allows for quantitative predictions of the nature and consequences of co-exposure to different stressors.