BREAKING THE ACOUSTIC DIFFRACTION LIMIT WITH AN ARBITRARY SHAPE ACOUSTIC MAGNIFYING LENS


Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models

In this paper, we present a methodology based on generative adversarial network architecture to generate synthetic data sets with the intention of augmenting continuous glucose monitor data from individual patients.We use these synthetic data with the aim of improving the overall performance of prediction models based on machine learning techniques

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Interpretation of law and intent

The authors start from the assumption that the intention of the legislator is an element that the interpreter should not neglect when understanding the text of the law.Intention can be understood in different ways, wider and narrower, as a psychic moment, but also as a manifested intention.The most prominent opponents of the concept of collective p

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Short communication: Prevalence of deleterious variants causing recessive disorders in Italian Chianina, Marchigiana and Romagnola cattle

In the last two decades, the molecular cause of six monogenic autosomal recessive disorders has been identified in native Italian beef cattle: two different ATP2A1 variants for the pseudomyotonia congenita, the first in Chianina and Romagnola Patio Dining Table (PMT1) and the second in Romagnola (PMT2); a KDM2B variant for the paunch calf syndrome

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