15,560 research outputs found

    Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis.

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    BackgroundMusic conveys emotion by manipulating musical structures, particularly musical mode- and tempo-impact. The neural correlates of musical mode and tempo perception revealed by electroencephalography (EEG) have not been adequately addressed in the literature.MethodThis study used independent component analysis (ICA) to systematically assess spatio-spectral EEG dynamics associated with the changes of musical mode and tempo.ResultsEmpirical results showed that music with major mode augmented delta-band activity over the right sensorimotor cortex, suppressed theta activity over the superior parietal cortex, and moderately suppressed beta activity over the medial frontal cortex, compared to minor-mode music, whereas fast-tempo music engaged significant alpha suppression over the right sensorimotor cortex.ConclusionThe resultant EEG brain sources were comparable with previous studies obtained by other neuroimaging modalities, such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET). In conjunction with advanced dry and mobile EEG technology, the EEG results might facilitate the translation from laboratory-oriented research to real-life applications for music therapy, training and entertainment in naturalistic environments

    Turbo Codes with Modified Code-matched Interleaver over AWGN and Rayleigh Fading Channel

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    AbstractA novel Code-Matched interleaver is proposed which decreases the number of the low weight codewords to improve the performance of the Turbo code. The modified design can adapt more kinds of Turbo codes determined by the generator matrix, while it doesn't decrease the bit error rate performance of Turbo codes at moderate to high signal to noise ratio. At the same time, in Rayleigh fading channel, the new Code-Matched interleaver can also debase the error floor

    A developmental model on quantifying urban policy effectiveness in port city relations

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    This paper is to find the role of urban policy in dealing with port city relations and corresponding methodology in quantifying policy effectiveness. In decomposing policy, we identify the key elements in the policy and further to measure its effectiveness. Firstly, we quantify non-linear relation in port city and explain why tradition quantitative methods fail to describe non-linear port city relationship. Secondly, we use improved logistic function derived from product life cycle theory (defined as a developmental model) to identify the evolving pattern in port city and depict the development phase and key elements. Thirdly, cases of Antwerp and Hamburg are used in analyzing how urban policy is effective in enhancing port city relations. It is difficult to quantify policy effectiveness thus we focus on how key elements in these policies are enhanced in promoting port city development even though port city are at different developmental phases and these policies can solve conflict between private port governance and public urban nature
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