Sentence examples for risk assessment table from inspiring English sources

H5N1 shot up the UK risk assessment table to the highest priority.

However, it released the risk assessment table for children being restrained using MMPR in detention or being taken to detention, which also includes children being deported.

(c) Transparency: selected papers stated explicitly their standpoint in respect to the issue of GM stacks risk assessment (Table 1).

The pharmacists, using the MQ, were more cautious than the clinicians in evaluation of cardiovascular contraindications and cardiac risk assessment (Table 6).

The relevance of such a low EC50 value of a product is illustrated by the finding that for three of the above-mentioned nine products the EC50 for both Daphnia and fish was lower than all available EC50 values for aquatic primary producers and would therefore be relevant for the aquatic risk assessment (Table 3).

These estimates vary according to the exposure response relation used in the risk assessment (Table 1).

The use of coronary risk assessment tables [ 25] is advocated in the ACCG and modelled in the ACCG scenario, but such tables are assumed not to be used under the PCP scenario.

In cases where divergence is low or isolation relatively recent, a translocation might then proceed without the need to consider the risk-assessment table (Table 2).

In the present study, we also conducted the sensitivity test, excluding studies with less than three of seven items marked as low risk from the risk bias assessment table.

Given this speculation about potential adverse impacts of Bt crops on honeybees and the possibility that small sample sizes may have undermined the power of prior risk assessment experiments (Table 1: studies to date have rarely employed more than 2 6 replicates per treatment), a formal meta-analysis, combining results from existing experiments, may provide more definitive answers.

The geriatric team's fall risk assessment score (Table 3) shows more balanced, though not really much better results: A classification accuracy of 55% is accompanied by a sensitivity of 63% and a specificity of 50%.