Real-world diffusion can be multi-dimensional, requiring efficient numerical solvers that can handle long-term memory embedded in mass transport.
India today has, because of hyper-connection of the world, and diffusion of technology, experienced the pushing down to lower and lower income levels more technology empowerment and education.
In an information-based world, power diffusion is a more difficult problem to manage than power transition.
The concept of smart sustainable cities has emerged as a result of three important global trends at play across the world, namely the diffusion of sustainability, the spread of urbanization, and the rise of ICT [5].
The world's first diffusion images of the brain were made public in August 1985 at the Society of Magnetic Resonance in Medicine (SMRM) meeting in London.
A mere five to seven years later, however, it became clear that the 1960s, far from establishing an American hegemony, had in fact wrought a diffusion of world power and an erosion of the formerly rigid Cold War blocs.
First, citation searches for these three antecedent studies, prioritizing co-citations between projects, revealed a plethora of AIDS peer education studies, particularly in the developing world, drawing on the Diffusion of Innovations Theory.
Nowadays, fractional-order differential and integral operators, which are nonlocal in nature, appear in mathematical models of many real world phenomena such as anomalous diffusion, ecological effects, blood flow issues, spreading of disease, control processes, etc.
Moreover, Alsulami, Ntouyas, Agarwal, Ahmad and Alsaedi [24] pointed out that fractional differential system constitute an important and interesting field of investigation because of their applications in many real world problems such as anomalous diffusion [25], disease models [26 28], ecological models [29], synchronization of chaotic systems [30 32] and so forth.
Coupled systems of fractional-order differential equations constitute an interesting and important field of research in view of their applications in many real world problems such as anomalous diffusion [14], disease models [15 17], ecological models [18], synchronization of chaotic systems [19 21], etc.
