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This paper presents a linear and nonlinear stochastic distribution for the interactions in multi-agent systems (MAS). The interactions are considered for the agents to reach a consensus using hetero-homogeneous transition stochastic matrices. The states of the agents are presented as variables sharing information in the MAS dynamically. The paper studies the interaction among agents for the attainment of consensus by limit behavior from their initial states' trajectories. The paper provides a linear distribution of DeGroot model compared with a nonlinear distribution of change stochastic quadratic operators (CSQOs), doubly stochastic quadratic operators (DSQOs) and extreme doubly Reach a nonlinear consensus for MAS via doubly stochastic quadratic operators Cited 3 times www.tandf.co.uk/journals/titles/00207179.asp

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the electroencephalogram (EEG) is an acquiring of the electrical fluctuationsthat occur in the brain, generated simply by positioning electrodes over the scalp withamplification of the electrical potential produced. The actual EEG indicates three primarytypes of wave, named alpha, beta and delta, which are distinct based on their rate ofproduction. Data has been collected from twenty five subjects using BrainMarker EEGhardware and software. Brainwaves were measured, focusing on the Alpha and Betabands to measure subjects’ calmness while listening to Quran recitation compared withrelaxing music. The result showed that higher alpha magnitudes were generated duringlistening to Quran recitation.