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This article compares the processes of foreign policymaking in Greece and Turkey in order to examine why the incentives and pressures of the enlargement process have failed until now to initiate a settlement in the Cyprus bicommunal negotiations. While most studies on the Cyprus problem have focused on the two communities of the island, little at-tention has been paid to the policies of the two â??motherlandsâ??, namely Greece and Turkey. Yet their leverage on the two Cypriot communities and their conflicting expectations with regard to an enlarged Europe in the Eastern Mediterranean constitute a complex security puzzle. The Republic of Cyprus stands as a champion candidate member for the next enlargement, amid fears of Turkish reprisals and hopes for a po-litical settlement on the island. With the benefits of settlement overwhelming the benefits of any other alternative, it is paradoxical that the parties seem to be about to fail to reach a last-minute, mutually beneficial compromise. I try to resolve this paradox by supplementing rational choice theory with cognitivist theories of international relations. While rational choice predicts a direct relationship between external environment and foreign policy shifts, the case of Cyprus suggests that this relationship is actually indirect. Without understanding how the external environment is framed in the domestic political discourse of Greece and Turkey, it is impossible to demonstrate how outside pressure and incentives affect foreign policy shifts.

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High-resolution UCLES/AAT spectra of four B-type supergiants in the SMC South East Wing have been analysed using non-LTE model atmosphere techniques to determine their atmospheric parameters and chemical compositions. The principle aim of this analysis was to determine whether the very low metal abundances (-1.1 dex compared with Galactic value) previously found in the Magellanic Inter Cloud region (ICR) were also present in the SMC Wing. The chemical compositions of the four targets are similar to those found in other SMC objects and appear to be incompatible with those deduced previously for the ICR. Given the close proximity of the Wing to the ICR, this is difficult to understand and some possible explanations are briefly discussed.

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Effective collision strengths for transitions among the lowest 97 fine-structure levels belonging to the (1s(2)2s(2)2p(6)) 3s(2)3p(2), 3s3p(3), 3s(2)3p3d, 3p(4), 3s3p(2)3d and 3s(2)3d(2) configurations of Fe XIII have been calculated using the fully relativistic Dirac Atomic R-matrix Code (DARC) of Norrington & Grant (2004). Resonances have been resolved in the threshold region, and results are reported over a wide electron temperature range up to log T-e = 6.8 K. Comparisons are made with the earlier available R-matrix results of Gupta & Tayal (1998), and the accuracy of the data is assessed.

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The analysis of chironomid taxa and environmental datasets from 46 New Zealand lakes identified temperature (February mean air temperature) and lake production (chlorophyll a (Chl a)) as the main drivers of chironomid distribution. Temperature was the strongest driver of chironomid distribution and consequently produced the most robust inference models. We present two possible temperature transfer functions from this dataset. The most robust model (weighted averaging-partial least squares (WA-PLS), n = 36) was based on a dataset with the most productive (Chl a > 10 lg l)1) lakes removed. This model produced a coefficient of determination (r2 jack) of 0.77, and a root mean squared error of prediction (RMSEPjack) of 1.31C. The Chl a transfer function (partial least squares (PLS), n = 37) was far less reliable, with an r2 jack of 0.49 and an RMSEPjack of 0.46 Log10lg l)1. Both of these transfer functions could be improved by a revision of the taxonomy for the New Zealand chironomid taxa, particularly the genus Chironomus. The Chironomus morphotype was common in high altitude, cool, oligotrophic lakes and lowland, warm, eutrophic lakes. This could reflect the widespread distribution of one eurythermic species, or the collective distribution of a number of different Chironomus species with more limited tolerances. The Chl a transfer function could also be improved by inputting mean Chl a values into the inference model rather than the spot measurements that were available for this study.

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