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Scientific findings based on the species behaviour are generally thought to be particularly applicable in neuroscience.
Understanding a species' behaviour in natural conditions can give insights into its development, responses and welfare in captivity.
"Remote monitoring of wildlife is a vital conservation tool, from helping us to better understand species behaviour," said Whitespaces for Wildlife project co-ordinator Louise Hartley.
The interaction between sampling method and a species' behaviour was recognised over 30 years ago [18].
Linking acoustic production to species' behaviour is fundamental.
Hunting is a human-related predation that may affect species behaviour and distribution in various ways [ 36].
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Differences between species' behaviours suggest that these interspecific interactions are dynamic context-dependent associations that cannot be reduced to a static dominance hierarchy.
This indicates that our proposed model learning framework can effectively optimise the kinetic rates associated with biochemical reactions, which in turn drive the species behaviours of the synthetic models to approach the target species behaviours in an approximate manner.
Thus, results of kinetic rate optimisation can be examined by comparing the species behaviours between the learned and target models quantitatively.
Another way of driving the shapes of molecular species behaviours is to generate appropriate interactions between target molecular species and hidden complex in the evolved models at optimised kinetic rate values.
In future study, when performing quantitative optimisations of associated kinetic rate values on a large scale, dissimilarities of these molecular species behaviours could be further reduced by increasing the number of obtained reactants and interactions between these reactants.
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