Sentence examples for risk assessment analyses from inspiring English sources

The Climate Change Risk Assessment analyses possible outcomes by 2080 if no actions were taken to protect against the effects of climate change.

Therefore we pass both results to the risk assessment analyses.

One of the direct applications of this study is to provide experimental approaches to be able to validate the risk assessment analyses regarding the functionality of engineered cementitious barriers.

On the other hand, biosafety regulators do not consider epigenetic regulation (e.g. DNA methylation, ncRNAs and histone modifications), which are broadly known to affect gene expression, within their risk assessment analyses.

The results of this interspecies modeling study have been presented in a variety of graphical formats to ease comparisons with findings from experiments and to facilitate integration of the results into risk assessment analyses.

The impact of high temperatures on mortality was investigated through a health risk assessment analyses.

Additional methods listed that could potentially be useful for assessing scenarios are: Geographical information system (GIS) Overlay/constraint maps Trend analyses, extrapolation Vulnerability analyses Risk assessments, risk analyses Carrying capacity, Ecological footprint Planetary boundaries.

Such a review should include a thorough bias risk assessment, meta-analyses, trial sequential analyses, and reports on harm from observational studies [ 9, 45, 68, 76- 78].

Due to the passive nature of the safety related systems and its dependency on small changes on certain variables (e.g. pressure, friction coefficients) together with the use of a simplified code like MAAP in Probabilistic Risk Assessment (PRA) analyses, it makes necessary to confirm that when core cooling is achieved, thermal-hydraulic (T/H) uncertainties are bounded.

[TIMP-2] ·[IGFBP7] significantly improved risk prediction when added to a nine-parameter clinical model (including serum creatinine at matched time points with biomarkers) for the primary endpoint, using time to event, IDI, cfNRI and risk assessment plot analyses (Tables S4-S6 in Additional file 1 and Figure S3 in Additional file 1).

We constructed a model based on the clinical variables found to be associated with the primary endpoint (P <0.1) and examined whether the addition of [TIMP-2] ·[improvedimpriskd risk prediction using time to event, integrated discrimination improvement (IDI), category-free net reclassification improvement (cfNRI) and risk assessment plot analyses (see Additional file 1).