Publications by authors named "P Gori"

Objective: White matter hyperintensities (WMH) are associated with Major Depressive Episodes (MDE) in individuals aged 65 and over. WMH are prevalent in adults under 65, yet the association between their volume and MDE in this population remains uncertain. This study aimed to assess the association between WMH volume and MDE and its severity in patients < 65.

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We present a systematic study of the low-energy electrodynamics of the magnetic FeSn kagome metal, which hosts both topological (Dirac) and non-trivial states. Our results reveal that the optical conductivity of FeSn shows two Drude contributions that can be associated with the linear (Dirac) and parabolic (massive) bands, with a dominance of the former to the DC conductivity at low temperatures. The weight of the Drude response shifts toward lower frequencies upon cooling due to a rapid increase in the Dirac electron mobility, which we associate with a temperature suppression of e-ph scattering.

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We present a comprehensive study of buckled honeycomb germanene functionalized with alternately bonded side groups hydroxyl (-H), methyl (-CH) and trifluoro methyl (-CF). By means of most modern theoretical and computational methods we determine the atomic geometries versus the functionalizing groups. The quasiparticle excitation effects on the electronic structure are taken into account by means of exchange-correlation treatment within the GW framework.

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Article Synopsis
  • Personalized medicine for brain disorders relies on advanced learning models to analyze neuroimaging data and predict clinical conditions.
  • The study compares deep learning (DL) and standard machine learning (SML) across five different clinical tasks, particularly focusing on complex psychiatric disorders such as schizophrenia, bipolar disorder, and Autism Spectrum Disorder (ASD).
  • Results indicate that while DL and SML perform similarly in some scenarios, using self-supervised pre-training on large datasets significantly enhances DL's effectiveness for smaller clinical datasets, resulting in improved predictive performance for two out of three tasks.
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Graphene-covered hexagonal SiC substrates have been frequently discussed to be appropriate starting points for epitaxial overlayers of Xenes, such as plumbene, or even their deposition as intercalates between graphene and SiC. Here, we investigate, within density functional theory, the plumbene deposition for various layer orderings and substrate terminations. By means of total energy studies we demonstrate the favorization of the intercalation versus the epitaxy for both C-terminated and Si-terminated 4H-SiC substrates.

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