Sentence examples for modelling and group from inspiring English sources

The theoretical background is based on role modelling and group support and uses visualisation and reframing to support behavioural change.

Then, written information, role modelling and group discussion were selected as providing practical strategies that fit the population of construction workers and their managers.

An important future research direction is to investigate the impact of considering disengaged responses when modelling individual and group differences.

Based on an approach which links simulation modelling and focus groups consisting of farmers and advisors, profitability of typical farms is analysed, the impact of policy scenarios (Agenda 2000 and two alternatives) simulated and farm adaptation strategies forecasted.

For modelling and model fitting, standard software was used.

In this research, qualitative research methods contributed to the refinement of the intervention through the use of a focus group during modelling and semi-structured interviews in the pilot stage.

No differences in PPV or SVV were observed after modelling and resuscitation between the three groups, which demonstrates that all rabbits were without fluid responsiveness at T1. Midazolam administration significantly increased PPV in the MID2 group at T2 (p < 0.05), and it significantly increased SVV in the MID1 and MID2 groups (p < 0.05) compared to that in the Control group (Fig. 2).

Multicomponent anion exchange with a resin having both weakly and strongly basic groups was investigated by means of modelling and column experiments.

The overall importance of such individual differences for group outcomes are likely to be considerable, therefore future modelling and theoretical efforts may benefit from a better understanding of the nature and extent of individual variation in animal groups.

Analyses based on functional groups can remove 'noise' and simplify system modelling and monitoring, but phylogenetic details remain important.

Reviewer 4 The authors are an experienced modelling group who have developed a novel approach to modelling risk.