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Almost three years have passed since the 'Arab Spring' began in late 2010. In the major sites of popular uprisings, political conditions remain unsettled or violent. Despite similarities in their original opposition to authoritarian rule, the outcomes differed from country to country. In Tunisia and Egypt, processes of transiting from authoritarian rule produced contrasting consequences for democratic politics. Uprisings led to armed rebellion in Libya and Syria, but whereas Gaddafi was overthrown, Asad was not. What explains the different trajectories and outcomes of the Arab Spring? How were these shaped by the power structure and levels of social control of the pre-uprising regimes and their state institutions, on the one hand, and by the character of the societies and oppositional forces that rose against them? Comparing Tunisia with Egypt, and Libya with Syria, this paper discusses various factors that account for variations in the trajectories and outcomes of the Arab Spring, namely, the legacy of the previous regime, institutional and constitutional choices during "transition" from authoritarian rule, socioeconomic conditions, and the presence of absence of ethnic, sectarian and geographic diversity.

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Among the PAH class of compounds, high molecular weight PAH are now considered as relevant cancer inducers, but not all of them have the same biological activity. However, their analysis is difficult, mainly due to the presence of numerous isomers and due to their low volatility. Retention indices (Ri) for 13 dibenzopyrenes and homologues were determined by high-resolution capillary gas chromatography (GC) with four different stationary phases: a 5% phenyl-substituted methylpolysiloxane column (DB-5 ms), a 35% phenyl-substituted methylpolysiloxane column (BPX-35), a 50% phenyl-substituted methylpolysiloxane column (BPX-50), and a 35% trifluoropropylmethyl polysiloxane stationary phase (Rtx-200). Correlations for retention on each phase were investigated by using 8 independent molecular descriptors. Ri has been shown to be linearly correlated to PAH volume, polarisability alpha, Hückel-pi energy on the four examined columns. Ionisation potential Ip is a fourth variable which improves the regression model for DB-5ms, BPX-35, and BPX-50 column. Correlation coefficients ranging from r2 = 0.935 to r2 = 0.952 are then observed. Application of these indices to the identification and quantification of PAH with MW 302 in certified diesel particulate matter SRM 1650a is presented and discussed. [Authors]

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