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However, when diffusion events occur more frequently than reaction events, simulating the diffusion events by ISSA is quite costly.
This paper presents a new approach to early warning analysis for social diffusion events.
Sτ takes reaction and both outgoing and incoming diffusion events into account when calculating a leap candidate.
The fast diffusion events are simulated deterministically with a heterogeneous diffusion model which considers site-blocking effects of additives.
Moreover, the results indicate that the proposed algorithm provides a readily-implementable Web-based tool for early warning analysis for important classes of security-relevant diffusion events.
The objective of this paper is to develop a scientifically-rigorous, practically-implementable methodology for performing early warning analysis for social diffusion events.
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A key aspect of the proposed approach to early warning analysis is determining which characteristics of the social diffusion event of interest, if any, possess exploitable predictive power.
Our data also support the notion that both Europeans and East-Asians descended from the same diffusion event expanding out of Africa.
For a diffusion event, receptors moved a single lattice space in a random direction with a probability calculated from the translational diffusion coefficient, D, of the protein on the cell membrane.
However, our results do not support the assertion that the initial spread of agriculture into Europe proceeded purely as a cultural diffusion event, but instead involved the active dispersal of people from SW Asia.
Reaction (1) or diffusion event can take place in this square.
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