21 resultados para Magic, Egyptian.


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This paper studies the “eye” as a religious phenomenon from the multiple traditions of ancient Egypt compared with rabbinic Judaism in late antiquity using a semiotic approach based upon the theories of Umberto Eco. This method was chosen because the eye is a graphic as well as a linguistic sign which both express religious concepts. Generally, the eye represented an all-seeing and omnipresent divinity. In other words, the god was reduced to an eye, whereby the form of the symbol suggests a meaning to the viewer or religious practitioner. In this manner the eye represented the whole body of a deity in Egyptian and the power of a discerning God in rabbinic texts. By focusing upon the semantic aspect of the eye metaphor in both Egyptian and rabbinic texts two religious traditions of the visually perceivable are analyzed from a semiotic perspective.

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A biunial magic lantern is a wooden box with two lenses, one on top of the other. The lenses have shutters and slots to insert glass slides. The light source is placed inside the box and the images are projected through either of the two lenses. It works in the same way as traditional magic lanterns, but allows for dissolving images and special effects.

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In my thesis I use a historical approach to close readings of fairy tale texts and movies to study the evolution of fathers, daughters, and marriage within three landmark tales: ¿Cinderella,¿ ¿Sleeping Beauty,¿ and ¿Snow White.¿ Using the works of Giambattista Basile, Charles Perrault, Jacob and Wilhelm Grimm, and Walt Disney and his cohort of animators, I trace the historical trajectory of these three elements, analyzing both the ways they change and develop as history progresses as well as the ways they remain consistent. Through close and comparative readings of primary sources and films, I demonstrate the power structures and familial dynamics evident through the interactions of fathers and daughters. Specifically, I show that through the weakness and ineptitude of fairy tale fathers, fairy tale daughters are able to gain power, authority, and autonomy by using magic and marriage to navigate patriarchal systems. The work I have done is important because it explores how each tale is a product of the story before it and thus that in order for these tales to continue to survive the test of time, we must not only recognize the validity of the academic merit of the Disney stories, but also remember them and others as we forge new paths in the stories we use to teach both children and parents. Specifically, this work is important because it explores the historical trend evident in the evolving relationships between fathers and daughters. This relationship ultimately it reveals the deep underlying need for family within all of us.

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Recently, we have demonstrated that considerable inherent sensitivity gains are attained in MAS NMR spectra acquired by nonuniform sampling (NUS) and introduced maximum entropy interpolation (MINT) processing that assures the linearity of transformation between the time and frequency domains. In this report, we examine the utility of the NUS/MINT approach in multidimensional datasets possessing high dynamic range, such as homonuclear C-13-C-13 correlation spectra. We demonstrate on model compounds and on 1-73-(U-C-13,N-15)/74-108-(U-N-15) E. coli thioredoxin reassembly, that with appropriately constructed 50 % NUS schedules inherent sensitivity gains of 1.7-2.1-fold are readily reached in such datasets. We show that both linearity and line width are retained under these experimental conditions throughout the entire dynamic range of the signals. Furthermore, we demonstrate that the reproducibility of the peak intensities is excellent in the NUS/MINT approach when experiments are repeated multiple times and identical experimental and processing conditions are employed. Finally, we discuss the principles for design and implementation of random exponentially biased NUS sampling schedules for homonuclear C-13-C-13 MAS correlation experiments that yield high-quality artifact-free datasets.