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Institution

University of Milano-Bicocca

EducationMilan, Italy
About: University of Milano-Bicocca is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Blood pressure. The organization has 8972 authors who have published 22322 publications receiving 620484 citations. The organization is also known as: Università degli Studi di Milano-Bicocca & Universita degli Studi di Milano-Bicocca.


Papers
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Journal ArticleDOI
TL;DR: In a population of hospitalized elderly malnourished or at risk of malnutrition, sarcopenia is highly prevalent and associated with an increased risk to die in the short-term and the EWGSOP criteria cannot be satisfactorily applied in a relevant proportion of patients.

148 citations

Journal ArticleDOI
TL;DR: It is shown that researchers use very different analytical tools, corresponding to different operational definitions of habitat thresholds, which can considerably affect their detection, and it is important to focus efforts efficiently and the inappropriate choice of statistical methods may have detrimental consequences.
Abstract: Habitat thresholds are usually defined as ‘‘points of abrupt change’’ in the species-habitat relationships. Habitat thresholds can be a key tool for understanding species requirements, and provide an objective definition of conservation targets, by identifying when habitat loss leads to a rapid loss of species, and the minimum amount of habitat necessary for species persistence. However, a large variety of statistical methods have been used to analyse them. In this context, we reviewed these methods and, using simulated data sets, we tested the main models to compare their performance on the identification of thresholds. We show that researchers use very different analytical tools, corresponding to different operational definitions of habitat thresholds, which can considerably affect their detection. Piecewise regression and generalized additive models allow both the distinction between linear and nonlinear dynamics, and the correct identification of break point position. In contrast, other methods such as logistic regression fail because they may incorrectly detect thresholds in gradual patterns, or they may over or underestimate the threshold position. In conservation or habitat modelling, it is important to focus efforts efficiently and the inappropriate choice of statistical methods may have detrimental consequences.

148 citations

Journal ArticleDOI
TL;DR: Data indicate a sex-related difference in the brain response to humans, possibly supporting human empathy.

148 citations

Journal ArticleDOI
TL;DR: Increased level of pro‐inflammatory cytokines (IL‐6 and IL‐8) in the acute phase of inflammation which could be responsible for triggering cartilage catabolism is shown and it is suggested that prompt neutralization of IL‐ 6 andIL‐8 accumulations in synovial fluid could help prevent development of OA in ACL‐injured knees.

148 citations

Journal ArticleDOI
Roel Aaij, Bernardo Adeva1, Marco Adinolfi2, A. A. Affolder3  +679 moreInstitutions (59)
TL;DR: A search for heavy Majorana neutrinos produced in the B- → π+ μ- μ- decay mode is performed using 3 fb(-1) of integrated luminosity collected with the LHCb detector in pp collisions at center-of-mass energies of 7 and 8 TeV at the LHS.
Abstract: A search for heavy Majorana neutrinos produced in the B- -> pi(+)mu(-)mu(-) decay mode is performed using 3 fb(-1) of integrated luminosity collected with the LHCb detector in pp collisions at center-of-mass energies of 7 and 8 TeV at the LHC. Neutrinos with masses in the range 250 to 5000 MeV and lifetimes from zero to 1000 ps are probed. In the absence of a signal, upper limits are set on the branching fraction B(B- -> pi(+)mu(-)mu(-)) as functions of neutrino mass and lifetime. These limits are on the order of 10(-9) for short neutrino lifetimes of 1 ps or less. Limits are also set on the coupling between the muon and a possible fourth-generation neutrino.

148 citations


Authors

Showing all 9226 results

NameH-indexPapersCitations
Carlo Rovelli1461502103550
Giuseppe Mancia1451369139692
Marco Bersanelli142526105135
Teruki Kamon1422034115633
Marco Colonna13951271166
M. I. Martínez134125179885
A. Mennella13246393236
Roberto Salerno132119783409
Federico Ferri132137689337
Marco Paganoni132143888482
Arabella Martelli131131884029
Sandra Malvezzi129132684401
Andrea Massironi129111578457
Marco Pieri129128582914
Cristina Riccardi129162791452
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023173
2022349
20212,468
20202,253
20191,905
20181,706