Recent work on social media provides a better understanding of human communication dynamics such as collective attention and information diffusion [52], the emergence of trends [53, 54], social influence and political mobilization [2, 55 57].
Also, according to the actual needs, many authors divert attention to nonlinear diffusion equations with nonlocal terms such as the porous equation [5, 6] with a typical form ∂ u ∂ t = Δ u m + ( m − Φ [ u ] ) u, (1.4).
Polarized pattern formation has been examined extensively, with particular attention to reaction-diffusion systems with a local activation-global inhibition mechanism [12], [13].
Therefore, D-MRI applications demand a greater level of knowledge of the diffusion fundamentals, attention, and forethought.
The antibacterial activity of honey has been assayed using various methods across the globe with special attention devoted to agar diffusion assay and minimum inhibitory concentration (MIC) coupled with minimum bactericidal concentration (MBC).
In this paper attention is focused on intraparticle diffusion of multicomponent gaseous mixtures in macroporous and microporous media.
In regard to higher-level, i.e. psychological and social processes of identity development in adolescents and particularly in the formation of BPD the question arises: What turns our attention to identity and its diffusion?
In this paper we focus our attention on the case of variable diffusion coefficients.
Less attention has been paid to the diffusion of emotions and social realities, such as group identification, that also follow from the social amplification of threats.
In population dynamics, Lotka-Volterra competitive, cooperative, and competitive-cooperative systems with diffusion have received great attention and have been studied extensively [1 7].
