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Amyloid protein aggregation results in major disturbances of cellular processes in humans. The most common amyloid-related disorders are Alzheimer´s disease and Parkinson´s disease. Parkinson´s disease is charaterized by the formation of protein-rich aggregates that are deposited in neurons, termed Lewy bodies and Lewy neurites. The main component identified in these protein-rich deposits is the pAmyloid protein aggregation results in major disturbances of cellular processes in humans. The most common amyloid-related disorders are Alzheimer´s disease and Parkinson´s disease. Parkinson´s disease is charaterized by the formation of protein-rich aggregates that are deposited in neurons, termed Lewy bodies and Lewy neurites. The main component identified in these protein-rich deposits is the p

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Elastic—plastic anti‐plane strain problems can be solved by using FEM programs developed for plane stress. The technique does not involve any manipulations with the FEM code, but is merely a matter of specialization and of translation of notation. Two analytically solvable cases are chosen for demonstration.

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Magnetic nanoparticles have shown great potential for use in drug delivery and bioimaging applications and are prospective building blocks in future high-performing permanent magnets. Today, magnetic nanoparticles are most often produced in batches by chemical methods resulting in the risk of chemical impurities and production of vast amounts of chemical waste. Aerosol generation methods on the ot

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This paper argues that an economic system of large and small technology-based firms which interact through technology-related acquisitions and spin-offs can be highly conducive to overall innovativeness and growth. Based on Williamson's (1975) suggestion of a 'systems solution by classical specialisation', and the empirical research on Swedish technology-based firms reported by Lindholm (1994), an

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This study reports the results of an empirical analysis of acquisitions and growth of small technology-based firms. Three issues are focused upon: (1) the importance of technology-based acquisitions among large Swedish companies; (2) the growth patterns of acquired and non-acquired small technology-based firms (STBFs);and (3) factors explaining the growth among STBFs. The results indicate that tec

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A general introduction to the use of feed-back artificial neural networks (ANN) for obtaining good approximate solutions to combinatorial optimization problems is given, assuming no previous knowledge in the field. In particular we emphasize a novel neural mapping technique which efficiently reduces the solution space. This approach maps the problems onto Potts glass rather than spin glass models.

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