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Derived results have shown that several degrees of numerical proximity apply for different combinations of driver behaviour metrics, driver cohorts, driving tasks and road contexts, whereas the type of the driver behaviour metric seems to be the most determining factor for absolute validity existence.
For the driving behaviour metrics being discussed in this manuscript, results show that Correlation Type A (absolute numerical proximity) is not reached in any case.
As such, research hypothesis 2 can be also partially accepted for some driving behaviour metrics, some driving tasks/scenarios and some drivers cohorts for the specific type of semi-dynamic driving simulator.
As such, research hypothesis 1 can be partially accepted, for some driving behaviour metrics, some driving tasks/scenarios and some drivers cohorts for the specific type of semi-dynamic driving simulator.
In this sense, the comparative driving behaviour needed to be investigated in relation to those driving behaviour metrics- same ones in the driving simulator and real traffic conditions- that would be able to reveal essential findings.
The dependent variables have been the driver performance results in the driving simulator and on-road, across a series of driver behaviour metrics which were selected to be the most applicable ones according to the following criteria: 1.
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For number switches, OFC neurons seemed to infer the outcome before the rats' behaviour clearly reflected this knowledge, at least according to our standard behavioural metrics.
However, when talking about 'optimal' behaviour, and metrics of performance, one has to be mindful of exactly what it means to perform 'better' or 'optimally' (Currey et al. 2007; Preston et al. 2010).
An assessment is made of the impact of changing spatial and temporal resolution on the behaviour of these metrics and recommendations on their use are offered.
As even the best counsellor cannot always induce behaviour change [ 34], metrics of counselling success and effectiveness based solely on behaviour change metrics may yield misleading results as to the value and quality of VCT.
Our research has shown that while some CVH metrics (diet behaviour, SBP and DBP) follow the same socioeconomic gradient as CVD, several other health metrics do not.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com