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In this study, we used a Lagrangian particle tracking algorithm including larval behaviour specific to the cold-water coral L. pertusa coupled to a high resolution ocean circulation model, and analysed the modelled connectivity using network theory metrics to investigate network variability.
We addressed the former by refining our biogeographic model and analysed the latter by defining areas of core habitation for each haplogroup.
Therefore, we introduced a mutated constitutively active Ras into the model and analysed its effects.
The response curves were fit to a 1 1 Langmuir binding model and analysed using global fitting.
The interviewer (EB) was also the person who developed the model and analysed the data, thereby potentially introducing bias.
The distance matrixes were computed using the Species Profiles Distance model and analysed by a hierarchical agglomerative clustering method.
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In a previous paper, we used Maurer machines to model and analyse micro-architectures.
It is shown how the chosen Network-Oriented Modelling method provides a basis to model and analyse these social phenomena.
The paper explains the use of timed CPN to model and analyse the dynamic behaviour of large and complex systems.
Similar to our work, other works have applied Event-B to model and analyse access control policies [6, 15].
Several approaches have been proposed to analyse security policies, which mainly differ in the formalism and tools used to model and analyse the policies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com