Sentence examples for trigger classification from inspiring English sources

Detailed methods for interpreting toxicologic and epidemiologic research are provided, and concentration limits trigger classification of a mixture into each hazard category.

Though it is not explicit in the legal text of the EU Classification, Labelling and Packaging (CLP) regulation, clear evidence of DNT, at least theoretically, could trigger classification as reproductive (developmental) toxicity category 1A or 1B.

A trigger-data classification based only on arrival time differences appears to pose a fundamental obstacle for separating trigger data from multiple earthquakes within such short distances.

This results in a wide range of critical concentrations triggering hazardous classification (in particular for Cu and Zn).

At the same time, if the system continues to implement the current method, the trigger-data classification algorithm will need to be fundamentally improved.

This does not necessarily imply that they are listed as hazardous substances on the product SDS, as they may not have directly and ultimately triggered the classification of the mixture (see guidance on the application of the CLP criteria, [15]).

Applying the here tentatively established criteria for 'relevant' additives ('CLP' and 'HAZ') would improve the predictability of product toxicity and thereby the protectiveness of the CBA, since additionally those components would be considered that significantly contribute to the product toxicity without triggering the classification of the product as hazardous to the environment.

The IPF method uses many types of observed data in addition to arrival time, such as velocity amplitude, not-yet-arrived data (Horiuchi et al. 2005), and B ∆ (Odaka et al. 2003; Tsukada et al. 2004), in its trigger-data classification and hypocenter determination.

Because most of the processes related to P or B at environmentally relevant concentrations are driven by first-order or pseudo-first-order kinetics and thus are lognormally distributed, geometric mean values are the most appropriate for comparing triggers for classification and were used in this assessment.

The simulation results of the IPF method indicated that the IPF method is highly effective at minimizing over-prediction even for multiple simultaneous earthquakes within a short distance, since it adopts a trigger-data classification using velocity amplitude and hypocenter determinations using not-yet-arrived data.

Differences between categorization as 'HAZ' and 'CLP' in the present study may result from various circumstances such as that SDS may have been issued according to the former directive or that data triggering the classification as 'hazardous' by the producer were not available within the scope of the present study for 'CLP' categorization.