Publications by authors named "P Pieri"

Background: The halo fixation device introduces a significant obstacle for clinicians attempting to secure a definitive airway in trauma patients with cervical spine injuries. The authors sought to determine the airway-related mortality rate of adult trauma patients in halo fixation requiring endotracheal intubation.

Methods: This study was a retrospective chart review of patients identified between 2007 and 2012.

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Evaluating the potential climatic suitability for premium wine production is crucial for adaptation planning in Europe. While new wine regions may emerge out of the traditional boundaries, most of the present-day renowned winemaking regions may be threatened by climate change. Here, we analyse the future evolution of the geography of wine production over Europe, through the definition of a novel climatic suitability indicator, which is calculated over the projected grapevine phenological phases to account for their possible contractions under global warming.

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Article Synopsis
  • Grape vines adjust their water loss (transpiration) based on environmental changes using various mechanisms, which vary daily and seasonally due to factors like humidity and soil moisture.
  • A new simplified method to estimate the "bulk stomatal conductance" (how easily water moves through the vines) is introduced, using vine sap flow, temperatures, and humidity, while avoiding complex soil measurements.
  • The study measured conductance in non-irrigated vineyards in Bordeaux from July to September 2020, finding significant daily variations linked to water stress, confirming the method's effectiveness and highlighting the key role of transpiration and vapor pressure in water management for vineyards.
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The first cases of Coronavirus disease-2019 (COVID-19) were reported on 21 February in the small town of Vo' near Padua in the Veneto region of Italy. This event led to 19,286 infected people in the region by 30 June 2020 (39.30 cases/10,000 inhabitants).

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In recent years, generative artificial neural networks based on restricted Boltzmann machines (RBMs) have been successfully employed as accurate and flexible variational wave functions for clean quantum many-body systems. In this article, we explore their use in simulations of disordered quantum Ising chains. The standard dense RBM with all-to-all interlayer connectivity is not particularly appropriate for large disordered systems, since in such systems one cannot exploit translational invariance to reduce the amount of parameters to be optimized.

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