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G. S. Esterhuizen et al.
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A. Mortazavi et al.
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Ashok Jaiswal et al.
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Luis A. Berrueta et al.
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A. S. Tawadrous et al.
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Marta Benito Garzon et al.
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AM Molinaro et al.
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B Krishnapuram et al.
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SM Sadat-Hashemi et al.
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A Jaiswal et al.
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J Deng et al.
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DV Griffiths et al.
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CD Martin et al.
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