A new method based on neural network theory is presented to analyze and quantify the information content of far UV circular dichroism spectra. Using a backpropagation network model with a single hidden layer between input and output, it was possible to deduce five different secondary structure fractions (helix, parallel and antiparallel beta-sheet, beta-turn and random coil) with satisfactory correlations between calculated and measured secondary structure data. We demonstrate that for each wavelength interval a specific network is suitable. The remaining discrepancy between the secondary structure data from neural network prediction and crystallography may be attributed to errors in the determination of protein concentration and random noise in the CD signal, as indicated by simulations.

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This article is concerned with media-induced language change in Austrian German (AG) which is caused by language contact with German German (GG) as presented in television programs broadcast via satellite. A detailed overview of the media situation and its impact on a number of linguistic features of AG is given. It is shown that the impact of this language contact is increasing and that it can be directly linked to the amount of TV-viewing time, especially of children. Examples of this are the emergence of the particle mal and other colloquial lexical items in informal AG, as well as the replacement of traditional items of core AG lexicon with their GG equivalents. Finally, factors which contribute to the ongoing process of language shift are considered: the relative powerlessness of a small language culture in permanent contact with a powerful one, the prestige of new media and their associated language usages which frequently symbolise modernity and worldliness, and lack of linguistic pride, such that the native variety is considered outmoded and provincial.

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