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Institution

Polytechnic University of Milan

EducationMilan, Italy
About: Polytechnic University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Computer science & Finite element method. The organization has 18231 authors who have published 58416 publications receiving 1229711 citations. The organization is also known as: PoliMi & L-NESS.


Papers
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Journal ArticleDOI
TL;DR: The results of a research project going on at Politecnico di Milano, aiming at analysing the idiosyncrasies of Six Sigma implementations in Italian companies are discussed in this paper.

189 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a modeling framework that accounts for the variability of extreme rainfall rate with the duration of rainfall events, which leads to predict the temporal scale of hillslope evolution associated with the occurrence of shallow landslides.
Abstract: [1] Both rainfall intensity and duration take part in determining the hydrologic conditions favorable to the occurrence of shallow landslides. Hydrogeomorphic models of slope stability generally account for the dependence of landsliding on soil mechanical and topographic factors, while the role of rainfall duration is seldom considered within a process-based approach. To investigate the effect of different climate drivers on slope stability, we developed a modeling framework that accounts for the variability of extreme rainfall rate with the duration of rainfall events. The slope stability component includes the key characteristics of the soil mantle, i.e., angle of shearing resistance, void ratio, and specific gravity of solids. Hillslope hydrology is modeled by coupling the conservation of mass of soil water with the Darcy's law used to describe seepage flow. This yields a simple analytical model capable of describing combined effect of duration and intensity of a precipitation episode in triggering shallow landslides. Dimensionless variables are introduced to investigate model sensitivity. Finally, coupling this model with the simple scaling model for the frequency of storm precipitation can help in understanding the climate control on landscape evolution. This leads to predict the temporal scale of hillslope evolution associated with the occurrence of shallow landslides. Model application is shown for the Mettman Ridge study area in Oregon, United States.

189 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated early development practices in 18 Italian and Swedish companies, operating in the vehicle, helicopter, and white-goods industries, and identified four possible approaches to manage the early phases (detailed, selective, comprehensive, and postponed), where anticipation and reaction have different balances.

189 citations

Journal ArticleDOI
TL;DR: The cytotoxicity of four catalysts commonly used for the synthesis of copolymers for biomedical use, such as segmented polyurethanes, was evaluated towards two types of cells, the first being the well-characterized cell line Swiss 3T3 mouse fibroblasts, and the second the actual living system that faces any device in contact with blood.
Abstract: The cytotoxicity of four catalysts commonly used for the synthesis of copolymers for biomedical use, such as segmented polyurethanes, was evaluated towards two types of cells, the first being the well-characterized cell line Swiss 3T3 mouse fibroblasts, the second the actual living system that faces any device in contact with blood, i.e. human endothelial cells (HEC). The catalysts were two tertiary aliphatic amines: TMBDA (tetramethylbutanediamine), and DABCO (1–4 diazo (2,2,2) octane); two alkyl tin compounds: DBTDL (dibutyl-tin-dilaurate), and SnOct (stannous octoate). Cytotoxicity tests were carried out by adding to the culture medium, after cell adhesion, different concentrations of each catalyst in dimethylsulphoxide, and keeping them in contact with the monolayer for 72 h. All the catalysts proved to be cytotoxic, although at different extent (in the order: DABCO < TMBDA < SnOct < DBTDL); their dose inhibiting 50% of cell growth (IC50) came out to be lower for 3T3 fibroblasts than for HEC, with the exception of DBTDL, which showed a similar toxicity for both the cell lines. As an example, the cytotoxicity of a polyurethane-amide, laboratory synthesized with DBTDL as catalysts, was checked with fibroblasts. By using both the method of the extract, and that of the direct contact (through a microporous membrane), a moderate to severe cell growth inhibition, related to the Sn content in the material, was observed.

189 citations

Journal ArticleDOI
Arnauld Albert1, Michel André2, M. Anghinolfi3, Miguel Ardid4  +1987 moreInstitutions (227)
TL;DR: In this paper, the authors search for high-energy neutrinos from the binary neutron star merger in the GeV-EeV energy range using the Antares, IceCube, and Pierre Auger Observatories.
Abstract: The Advanced LIGO and Advanced Virgo observatories recently discovered gravitational waves from a binary neutron star inspiral. A short gamma-ray burst (GRB) that followed the merger of this binary was also recorded by the Fermi Gamma-ray Burst Monitor (Fermi-GBM), and the Anti-Coincidence Shield for the Spectrometer for the International Gamma-Ray Astrophysics Laboratory (INTEGRAL), indicating particle acceleration by the source. The precise location of the event was determined by optical detections of emission following the merger. We searched for high-energy neutrinos from the merger in the GeV–EeV energy range using the Antares, IceCube, and Pierre Auger Observatories. No neutrinos directionally coincident with the source were detected within ±500 s around the merger time. Additionally, no MeV neutrino burst signal was detected coincident with the merger. We further carried out an extended search in the direction of the source for high-energy neutrinos within the 14 day period following the merger, but found no evidence of emission. We used these results to probe dissipation mechanisms in relativistic outflows driven by the binary neutron star merger. The non-detection is consistent with model predictions of short GRBs observed at a large off-axis angle.

189 citations


Authors

Showing all 18743 results

NameH-indexPapersCitations
Alex J. Barker132127384746
Pierluigi Zotto128119778259
Andrea C. Ferrari126636124533
Marco Dorigo10565791418
Marcello Giroletti10355841565
Luciano Gattinoni10361048055
Luca Benini101145347862
Alberto Sangiovanni-Vincentelli9993445201
Surendra P. Shah9971032832
X. Sunney Xie9822544104
Peter Nijkamp97240750826
Nicola Neri92112241986
Ursula Keller9293433229
A. Rizzi9165340038
Martin J. Blunt8948529225
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023302
2022813
20214,152
20204,301
20193,831
20183,767