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MATHEMATICAL MORPHOLOGY APPLIED IN RECOGNITION OF HEART SIGNS

Authors: Arata Andrade Saraiva; Francisco Marcelino Almeida de Araujo; Matheus Pereira Barros; M. Hristova; Ayrton Brandim;

MATHEMATICAL MORPHOLOGY APPLIED IN RECOGNITION OF HEART SIGNS

Abstract

With a generalized version of the endogenous growth model by Romer in [20] it is analysed the dynamical characteristics of the effects of the learning-by-doing (LBD) externalities on the memory-dependent production process. It is regarded as an quasi-homogeneous production function whose factors of substitutability are non-constant. It is assumed that the consumer maximizes the utility of consumption according to a constant relative risk-aversion function. The functional forms for the optimal capital formation trajectory and externalities with two-delayed arguments are solutions obtained by optimality principle. The optimal problem admits a steady state. Taking consumption elasticity as a function of one of the delays, we observe economic fluctuations which can be attenuated by the actions of both the delay effect and damping. But, there is a critical value for consumption elasticity at which economic fluctuations become unstable.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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