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This study demonstrates the use of a laboratory experiment for investigating the effects of social interaction on the dynamics of travellers' choice behaviour.
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Using evolutionary game theory we explore a number of different scenarios that elucidate the impact of tumour stromal interactions on the dynamics of prostate cancer growth and progression, and how different treatments in the metastatic setting can affect different types of tumours.
However, the effects of population size and isolation are usually considered independently (e.g. Prentice et al. 2006; Telles et al. 2007; Dillane et al. 2008; Meeuwig et al. 2010), and only a few empirical studies have investigated the joint effects of both parameters and their interaction on the genetic dynamics of wild populations (Gonzalez-Varo et al. 2010; Lange et al. 2010; Wang et al. 2010).
These results indicate that the effects of surface-sample and tip-surface interactions on the observed dynamics are negligible.
Considering the effects of magnetic interactions on the pendulum dynamics, the generated power of the harvester is obtained for harmonic excitations.
The effects of species interactions on the population dynamics of the species involved can be predicted by a pair of linked equations that were developed independently during the 1920s by American mathematician and physical scientist Alfred J. Lotka and Italian physicist Vito Volterra.
It is shown that the influence of the short range dislocation-dislocation interactions on the dislocation dynamics can be well described by a local back stress which scales like the square root of dislocation density plus a non-local diffusion-like term.
The fifth level of complexity built on the fourth and included a feedback mechanism whereby the cattail densities influenced the sawgrass densities to determine the impact of inter-species interactions on the cattail dynamics.
We study the joint implications of heterogeneity of total factor productivity and strategic price interactions between firms on the dynamics of inflation and the design of optimal monetary policy.
This paper presents a computational framework that analyzes the effect of fluid structure interaction (FSI) on the impact dynamics and puncture failure of pressurized commodity tank cars carrying hazardous materials.
Here we borrow the concept of "knockout" to describe our in silico experiments of deleting a certain interaction to access its contribution on the dynamics of the system.
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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