Sentence examples for behavioural solutions from inspiring English sources

Researchers seeking behavioural solutions to health-behaviour need to target psychological factors that are considered changeable and malleable to evoke health-behaviour change.

Moreover, two new strategies are developed to objectively identify behavioural solutions.

Improvements in behavioural solutions to specific social, life history or ecological problems are also central to the study of culture12.

Despite the ease-of-use of GLUE, it involves a number of subjective decisions such as the strategy for identifying the behavioural solutions.

Understanding these psychological phenomena can make household and community responses to public policy interventions less surprising, and in parallel, can help us design more cost-effective and mass-scalable behavioural solutions to encourage renewable and sustainable energy use among consumers.

We anticipate that there will be both practical and behavioural solutions to issues that arise, some of which can be addressed by quick-fix solutions while others will require longer term work.

This study evaluates the impact of behavioural solution identification strategies in GLUE on the quality of model output uncertainty.

The results show that the model output uncertainty varies with the behavioural solution identification strategy, and furthermore, a robust GLUE implementation would require considering multiple behavioural solution identification strategies and choosing the one that generates the desired balance between sharpness and reliability.

To demonstrate the importance of behavioural solution identification strategy more appropriately, GLUE is also compared with two other informal multi-criteria calibration and uncertainty estimation methods (Pareto optimization and DDS-AU).

This essay illustrates some recent developments to the DiffeRential Evolution Adaptive Metropolis (DREAM) MATLAB toolbox of Vrugt (2016) to delineate and sample the behavioural solution space of set-theoretic likelihood functions used within the GLUE (Limits of Acceptability) framework (Beven and Binley, 1992, 2014; Beven and Freer, 2001; Beven, 2006).

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