The rate of diffusion would be faster for the right cylinder.
The rate of diffusion would be faster for the right cylinder.
The rate of diffusion would be faster for the right cylinder.
If the two models were compared in a diffusion test, you would expect to see differences in how well they diffuse a substance. The model with higher diffusion capabilities would show a faster and wider spread of the substance compared to the model with lower diffusion capabilities.
In a diffusion test, a sphere with a surface area to volume ratio of 2.1 m⁻¹ would demonstrate a more efficient diffusion process compared to solids with lower ratios. The higher ratio indicates that there is more surface area available for the substance to diffuse across relative to its volume, facilitating faster mass transfer. Consequently, we would expect the sphere to reach equilibrium more quickly than models with lower surface area to volume ratios. Overall, the efficiency of diffusion in the sphere would be enhanced due to its geometric properties.
Vijay Mahajan has written: 'Models for innovation diffusion' -- subject(s): Diffusion of innovations, Mathematical models, Social sciences
Philip M. Parker has written: 'Competitive effects in diffusion models' -- subject(s): Diffusion of innovations, Econometric models, Competition 'Choosing among diffusion models' -- subject(s): Econometric models 'A study of price elasticity dynamics using parsimonious replacement/multiple purchase diffusion models' -- subject(s): Prices, Econometric models 'The effect of advertising on price and quality' -- subject(s): Testing, Vision, Marketing, Advertising
no
R. K. Semple has written: 'Diffusion processes' -- subject(s): Diffusion of innovations, Mathematical models
One disadvantage of physical models is that they can be time-consuming and resource-intensive to create compared to digital models. Additionally, physical models may be more limited in terms of the level of detail and complexity that can be represented compared to digital models.
Diffusion occurs because particles move randomly in all directions until they are evenly distributed. This can be explained by the particle model, which states that matter is made up of tiny particles that are constantly in motion. The movement of particles in diffusion supports the idea that substances are composed of particles that are constantly moving.
Yes. This serves as a baseline to show where the teeth were at the beginning of the treatment. It can be compared with later models to track progress and final results.