964 resultados para Aub, Max (, 1903-1972)--Correspondencia.
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About Aeonio-Euphorbion canariensis Sundíng 1972, correct alliance name against Kleinio-Euphorbion canariense Rivas Goday & Esteve 1965
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A design methodology to optimise the ratio of maximum oscillation frequency to cutoff frequency, f(MAX)/f(T), in 60 nm FinFETs is presented. Results show that 25 to 60% improvement in f(MAX)/f(T) at drain currents of 20-300 mu A/mu m can be achieved in a non-overlap gate-source/drain architecture. The reported work provides new insights into the design and optimisation of nanoscale FinFETs for RF applications.
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We focus on the representation of time in Muñiz’s historical novels. Concretely, we stress the attitude of the feminine characters towards time and history. Muñiz’s female personages continuously transgress temporal borders and move freely between different historical periods. We relate Muñiz’s particular vision on time and on the separation lines between historical periods to her situation as an exile. The author is continuously crossing borders between the past of her homeland and the present of her adoptive country. We argument Muñiz is recreating this “borderfree” attitude towards time in the female characters of her historical novels.
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This paper explores the problem of the synthesis between vitalism and rationalism, in contemporary philosophy. With this aim, we compare the intellectual careers of Georges Canguilhem (1904-1995) and José Ortega y Gasset (1883-1955). We contrast their conceptions of philosophy as “hybrid” knowledge, closely related to science, as well as their points of view on Vitalism, anthropology, the technique and the perspectivism. To avoid that comparison is purely abstract and ahistorical, we use the method of the sociology of philosophy. This forces us to locate both paths in their respective philosophical fields and generational units, also according to his social background and professional career.
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This paper proposes max separation clustering (MSC), a new non-hierarchical clustering method used for feature extraction from optical emission spectroscopy (OES) data for plasma etch process control applications. OES data is high dimensional and inherently highly redundant with the result that it is difficult if not impossible to recognize useful features and key variables by direct visualization. MSC is developed for clustering variables with distinctive patterns and providing effective pattern representation by a small number of representative variables. The relationship between signal-to-noise ratio (SNR) and clustering performance is highlighted, leading to a requirement that low SNR signals be removed before applying MSC. Experimental results on industrial OES data show that MSC with low SNR signal removal produces effective summarization of the dominant patterns in the data.