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Institution

University of Milan

EducationMilan, Italy
About: University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Transplantation. The organization has 58413 authors who have published 139784 publications receiving 4636354 citations. The organization is also known as: Università degli Studi di Milano & Statale.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present feasibility and constraints of applying industrial symbiosis in recovering waste from food processing, focusing on recycling (excluding energy recovery) of the solid and liquid waste from the food processing industry.

787 citations

Journal ArticleDOI
TL;DR: The requirements and the methodological issues to be addressed for using ABPM in clinical practice are addressed, the clinical indications for ABPM suggested by the available studies are outlined in detail, and the place of home measurement of blood pressure in relation to ABPM is discussed.
Abstract: Given the increasing use of ambulatory blood pressure monitoring (ABPM) in both clinical practice and hypertension research, a group of scientists, participating in the European Society of Hypertension Working Group on blood pressure monitoring and cardiovascular variability, in year 2013 published a comprehensive position paper dealing with all aspects of the technique, based on the available scientific evidence for ABPM. The present work represents an updated schematic summary of the most important aspects related to the use of ABPM in daily practice, and is aimed at providing recommendations for proper use of this technique in a clinical setting by both specialists and practicing physicians. The present article details the requirements and the methodological issues to be addressed for using ABPM in clinical practice, The clinical indications for ABPM suggested by the available studies, among which white-coat phenomena, masked hypertension, and nocturnal hypertension, are outlined in detail, and the place of home measurement of blood pressure in relation to ABPM is discussed. The role of ABPM in pharmacological, epidemiological, and clinical research is also briefly mentioned. Finally, the implementation of ABPM in practice is considered in relation to the situation of different countries with regard to the reimbursement and the availability of ABPM in primary care practices, hospital clinics, and pharmacies.

786 citations

Journal ArticleDOI
29 Mar 2012
TL;DR: In this article, the authors reported results from searches for the standard model Higgs boson in proton-proton collisions at square root(s) = 7 TeV in five decay modes: gamma pair, b-quark pair, tau lepton pair, W pair, and Z pair.
Abstract: Combined results are reported from searches for the standard model Higgs boson in proton-proton collisions at sqrt(s)=7 TeV in five Higgs boson decay modes: gamma pair, b-quark pair, tau lepton pair, W pair, and Z pair. The explored Higgs boson mass range is 110-600 GeV. The analysed data correspond to an integrated luminosity of 4.6-4.8 inverse femtobarns. The expected excluded mass range in the absence of the standard model Higgs boson is 118-543 GeV at 95% CL. The observed results exclude the standard model Higgs boson in the mass range 127-600 GeV at 95% CL, and in the mass range 129-525 GeV at 99% CL. An excess of events above the expected standard model background is observed at the low end of the explored mass range making the observed limits weaker than expected in the absence of a signal. The largest excess, with a local significance of 3.1 sigma, is observed for a Higgs boson mass hypothesis of 124 GeV. The global significance of observing an excess with a local significance greater than 3.1 sigma anywhere in the search range 110-600 (110-145) GeV is estimated to be 1.5 sigma (2.1 sigma). More data are required to ascertain the origin of this excess.

786 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a suite of programs that automatically generate Swift/XRT light curves of Gamma Ray Bursts (GRBs) from X-ray light curves obtained with the UK Swift Science Data Centre.
Abstract: Context. Swift data are revolutionising our understanding of Gamma Ray Bursts. Since bursts fade rapidly, it is desirable to create and disseminate accurate light curves rapidly. Aims. To provide the community with an online repository of X-ray light curves obtained with Swift. The light curves should be of the quality expected of published data, but automatically created and updated so as to be self-consistent and rapidly available. Methods. We have produced a suite of programs which automatically generates Swift/XRT light curves of GRBs. Effects of the damage to the CCD, automatic readout-mode switching and pile-up are appropriately handled, and the data are binned with variable bin durations, as necessary for a fading source. Results. The light curve repository website ⋆⋆ contains light curves, hardness ratios and deep images for every GRB which Swift’s XRT has observed. When new GRBs are detected, light curves are created and updated within minutes of the data arriving at the UK Swift Science Data Centre.

784 citations

Journal ArticleDOI
M. Aguilar, D. Aisa1, Behcet Alpat, A. Alvino  +291 moreInstitutions (33)
TL;DR: In this paper, a precise measurement of the proton flux in primary cosmic rays with rigidity (momentum/charge) from 1.GV to 1.8TV is presented based on 300 million events.
Abstract: A precise measurement of the proton flux in primary cosmic rays with rigidity (momentum/charge) from 1 GV to 1.8 TV is presented based on 300 million events. Knowledge of the rigidity dependence of the proton flux is important in understanding the origin, acceleration, and propagation of cosmic rays. We present the detailed variation with rigidity of the flux spectral index for the first time. The spectral index progressively hardens at high rigidities.

783 citations


Authors

Showing all 58902 results

NameH-indexPapersCitations
Yi Cui2201015199725
Peter J. Barnes1941530166618
Thomas C. Südhof191653118007
Charles A. Dinarello1901058139668
Alberto Mantovani1831397163826
John J.V. McMurray1781389184502
Giuseppe Remuzzi1721226160440
Russel J. Reiter1691646121010
Jean Louis Vincent1611667163721
Tobin J. Marks1591621111604
Tomas Hökfelt158103395979
José Baselga156707122498
Naveed Sattar1551326116368
Silvia Franceschi1551340112504
Frederik Barkhof1541449104982
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023240
2022777
20219,390
20209,000
20197,475
20186,804