G
Giuseppe Maschio
Researcher at University of Padua
Publications - 214
Citations - 8033
Giuseppe Maschio is an academic researcher from University of Padua. The author has contributed to research in topics: Renal function & Risk assessment. The author has an hindex of 37, co-authored 208 publications receiving 7594 citations. Previous affiliations of Giuseppe Maschio include University of Verona & University of Messina.
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Estimation of the impact probability in domino effects due to the projection of fragments
TL;DR: In this article, the authors proposed a systematic procedure for quantification of domino effects due to fragments projection within QRA, and incorporated a probabilistic model for the impact probability of the fragments by applying a Monte-Carlo method to the trajectory equations.
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Risk management of terrorist attacks in the transport of hazardous materials using dynamic geoevents
TL;DR: The aim of the paper is to define the procedure for the construction of the dynamic geoevent, and the output of a consequence simulation code and a GIS software to create a dynamic scenario of a terrorist attack in an urban area.
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HazMat transport through Messina town: from risk analysis suggestions for improving territorial safety
Maria Francesca Milazzo,R. Lisi,Giuseppe Maschio,Giacomo Antonioni,Sarah Bonvicini,G. Spadoni +5 more
TL;DR: In this paper, a risk analysis for the land transport of dangerous goods through the downtown of Messina is presented, based on a complete inventory of dangerous substances, whose results, obtained by means of the TRAT2 software, have been analyzed and discussed.
Journal Article
Serum lipids in patients with chronic renal failure on long-term, protein-restricted diets.
TL;DR: Patients with renal failure maintained on this diet, which provides an elevated ratio of polyunsaturated to saturated fatty acids, have a more favorable lipid composition of erythrocyte membrane when compared with patients on an unrestricted diet.
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Economic optimisation of European supply chains for CO 2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures
TL;DR: In this paper, the authors proposed a spatially explicit mixed integer linear programming approach for the economic optimisation of a European supply chain for carbon capture, transport and geological storage, where societal risk assessment is formally incorporated within the modelling framework.