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On the application of neural networks for structured domains to fMRI data

Functional Magnetic Resonance Imaging (fMRI) provides spatio-temporal maps of brain activity; however, extracting the rich information they contain is challenging. Traditional approaches use only summary statistics, losing details that might be hidden in the complex temporal dynamics. Deep neural networks are emerging as an apt solution in this context, given their ability to handle vast amounts of structured data. In this paper, we consider two widely studied fMRI datasets: the Human Connect...

Physicochemical Stability of ‘Kissabel® Rouge’ Apple Juice: The Role of Filtration and High-Pressure Homogenization

Your PIN is Mine: Uncovering Users' PINs at Point of Sale Machines

Point of Sale (PoS) machines have become extremely popular recently. In many economies, most transactions occur using them. Although PoS technology is evolving, PINs are still heavily used. In this paper, we perform a large-scale study to understand how difficult it is to uncover user PINs at PoS, even when the users cover the pad with their hands. Our study involves 142 participants, two types of PoS, and around 13,800 PINs. We develop machine learning techniques to infer PoS PINs by using h...

Mineralocorticoid receptor antagonism as an add-on treatment for resistant hypertension

Fosfolipasi A2 associata alle lipoproteine ed eventi cardiovascolari

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