Nano- and micro-scale free volumes in ultrafine grained Cu 1 wt.%Pb alloy deformed by equal channel angular pressing (ECAP) were examined by a combination of radiotracer diffusion measurements, transmission electron microscopy, depth milling by focused ion beam, and positron annihilation spectroscopy.
Applications including modeling of damping behavior of viscoelastic materials, cell diffusion processes, transmission of signals through strong magnetic fields, and finance systems are some examples [16 18].
Instead of diffusion or transmission (a process where the meaning of the thing that gets shared essentially stays the same), we have a sociological process of transformation.
The geographic distribution of traditions may reflect patterns of innovation, diffusion and transmission, which can be affected by factors such as the dispersal of individuals between communities and restrictions imposed by geographical features [6].
The Riccati equations play a significant role in many fields of engineering and applied science such as the theory of random processes, diffusion problems, transmission-line phenomena and optimal control theory.
Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission.
Although the use of TiO2 photocatalyst on cementitious materials for air purification has been developing rapidly in the last decades, the photocatalytic effect of TiO2 is significantly diminished due to the low specific surface areas, poor gas diffusion and light transmission performance of cementitious substrates.
(tau_{j}) is the time delay and satisfies (0 le tau_{j} le tau ), where τ is constant; (D_{i} > 0) corresponds to the transmission diffusion coefficient along the neurons.
The smooth functions a i k > 0 and ξ j k > 0 correspond to the transmission diffusion operators along with the i th neurons and the j th neurons, respectively.
τ ( t ) denotes the time-varying delay and satisfies 0 ≤ τ ( t ) ≤ τ ¯, 0 ≤ τ ˙ ( t ) ≤ μ < 1, where τ ¯ and μ are constants; D l = diag ( D 1 l, D 2 l, …, D n l ) with D i l ≥ 0 stands for transmission diffusion operator along the i th neuron.
