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This paper presents an investigation into spreading dynamics and dynamic contact angle of TiO2-deionized (DI) water nanofluids.
This paper presents an investigation into spreading dynamics and dynamic contact angle of TiO2-deionized water nanofluids.
Therefore, many mathematicians devote themselves to realistic multi-group models for the spreading dynamics of infections.
From the data on spreading dynamics, we extract characteristic times that are consistent with mechanical estimates.
Besides that the effect of gravity on droplet spreading dynamics is also presented.
Habitat heterogeneity can have profound effects on the spreading dynamics of invasive species.
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For strong exotic competitors, spread dynamics mostly grows logarithmically with the seed production, but quadratic polynomial equation can better fit their relationship in some scenarios.
We show that complex patterns of contact rates can emerge from simple empirical movement rules and, therefore, can be key drivers of disease spread dynamics.
In particular, Wolbachia spread dynamics are represented differently under a stochastic modeling simulation [ 41].
This allows influenza spread dynamics within the three models to be compared and indicates the sensitivity of the Madang model to the presence of the neighbourhood hubs.
Some of the existing models feature highly granular description of disease spread dynamics and mitigation via consideration of scenarios involving millions of individuals and refined time scales.
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