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The topicality measure for a news article is obtained by counting the number of news articles which have a similar content to the original news article but are delivered by other news agencies.
The topicality measure for a news article is obtained by counting the number of news articles which have similar content to the original news article but are delivered by other news agencies.
Following with the classical LFM signal detection methods [26 28], the detector proposed in this article is obtained by combining the newly defined AFL with Radon transform (RT), in order to make this method different from the traditional methods, it is denoted as "the AFL combined with RT", and simplified as RAFL.
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The interviews for this article were obtained by The New York Times and the PBS series "Frontline".
Strong-motion records used in this article were obtained from the China Strong-Motion Networks Center at http://www.csmnc.net/ (last accessed December 2012).
All data in this article were obtained from three independent experiments.
All figures shown in this article were obtained from three independent experiments with similar results.
The numerical results presented in this article are obtained by Monte Carlo simulation.
Most of the numerical results presented in this article are obtained with such an explicit formulation.
Data used in the preparation of this article were obtained from the ADNI database (http://adni.loni.ucla.edu).ucla.edu
Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI).ucla.edu/ADNI
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