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Myten analyseras som gestaltningar av klyvnaderna mellan ord och mening (språk och värld), kunskap och illusion, man och kvinna, jag och icke-jag. Det är klyvnader som kan hänföras till Platon.
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Artikeln utgår från Magnus Perssons studie av legitimeringar i svenska läroplaner i "Varför läsa litteratur" (2007) och gör motsvarande undersökning av de ryska läroplaner som publicerats sedan 1991. Legitimeringar har extraherats ur läroplaner från 1997 och 2004. Dessa delas sedan in i kategorierna individcentrerade, samhällscentrerade och litteraturcentrerade. Legitimeringarna fördelade sig förh
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Globalisation traps, balkanisation, class polarisation, the dominance of transnational companies and the subordination of transnational migrants are all part of the imaging broadcast over the global media, and they merge with experiences of fear and joy in the countdown to the next millennium. The globalisation of fragmentation consists in driving a class wedge through the ethnic groups themselves
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Aims. The Landé g-factor is an important parameter in astrophysical spectropolarimetry, used to characterize the response of a line to a given value of the magnetic field. The purpose of this paper is to present accurate Landé g-factors for states in B II, C I-IV, Al I-II, Si I-IV, P II, S II, Cl III, Ar IV, Ca I, Ti II, Zr III, and Sn II. Methods. The multiconfiguration Dirac-Hartree-Fock and rel
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This chapter proposes a novel offline text dependent writer verification method based on Gray Level Co-occurrence Matrix (GLCM). The method is used to combine the result of Dual Tree Complex Wavelet Transforms (DT-CWT) and GLCM features to enhance the GLCM feature performance. The texture is a very important characteristic, which is used to verify the known writer from unknown writers. We have use
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Pixel classification of watershed satellite image is a challenging task in remote sensing. Uses of Particle Swarm Optimisation and Cellular Automata are significant methods in watershed image segmentation. This paper proposes a method of pixel classification using a new hybrid Particle Swarm Optimization-Cellular Automata approach. The proposed unsupervised method identifies clusters using 2-Dimen