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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: The main advantages and pitfalls of metabarcoding approaches to assess parameters such as richness, abundance, taxonomic composition and species ecological values, to be used for calculation of biotic indices are discussed.

304 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016.
Abstract: The CMS muon detector system, muon reconstruction software, and high-level trigger underwent significant changes in 2013–2014 in preparation for running at higher LHC collision energy and instantaneous luminosity. The performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016. The measured performance parameters, including spatial resolution, efficiency, and timing, are found to meet all design specifications and are well reproduced by simulation. Despite the more challenging running conditions, the modified muon system is found to perform as well as, and in many aspects better than, previously. We dedicate this paper to the memory of Prof. Alberto Benvenuti, whose work was fundamental for the CMS muon detector.

303 citations

Journal ArticleDOI
TL;DR: The results of the present study indicate flumequine and oxytetracycline as priority chemicals to be monitored for possible environmental side effects of aquaculture in Italy.

303 citations

Journal ArticleDOI
TL;DR: It is suggested that, in some brain regions, non-negative constraints alone may not be sufficient to reduce spurious fibre orientations, and a newly developed spherical deconvolution algorithm based on an adaptive regularization (damped version of the Richardson-Lucy algorithm) has the potential for better characterizing white matter anatomy and the integrity of pathological tissue.

303 citations

Journal ArticleDOI
TL;DR: Different functions for calculating the predictive squared correlation coefficient Q2 from an external set were proposed, which lead to occasionally different estimates of the model predictive ability and therefore to contrasting decisions about model adequacy.
Abstract: This paper deals with the problem of evaluating the predictive ability of regression models. In some cases, model validation by internal cross-validation technique is not enough and validation by an external test set has been suggested as an effective way of evaluating the model predictive ability. Different functions for calculating the predictive squared correlation coefficient Q2 from an external set were proposed, which lead to occasionally different estimates of the model predictive ability and therefore to contrasting decisions about model adequacy. In this paper, advantages and drawbacks of these functions in estimating model predictive ability from some simulated datasets are discussed by comparison. Copyright © 2010 John Wiley & Sons, Ltd.

302 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
20191,906
20181,706