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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 this article, scaling laws derived from fluid models and supported by numerical simulations are used to accurately describe the acceleration of proton beams for a large range of laser and target parameters.
Abstract: The past few years have seen remarkable progress in the development of laser-based particle accelerators. The ability to produce ultrabright beams of multi-megaelectronvolt protons routinely has many potential uses from engineering to medicine, but for this potential to be realized substantial improvements in the performances of these devices must be made. Here we show that in the laser-driven accelerator that has been demonstrated experimentally to produce the highest energy protons, scaling laws derived from fluid models and supported by numerical simulations can be used to accurately describe the acceleration of proton beams for a large range of laser and target parameters. This enables us to evaluate the laser parameters needed to produce high-energy and high-quality proton beams of interest for radiography of dense objects or proton therapy of deep-seated tumours.

697 citations

Proceedings ArticleDOI
01 Jun 2019
TL;DR: The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter, and provides an analysis and discussion about the participant systems and the results they achieved in both subtasks.
Abstract: The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter. The task is organized in two related classification subtasks: a main binary subtask for detecting the presence of hate speech, and a finer-grained one devoted to identifying further features in hateful contents such as the aggressive attitude and the target harassed, to distinguish if the incitement is against an individual rather than a group. HatEval has been one of the most popular tasks in SemEval-2019 with a total of 108 submitted runs for Subtask A and 70 runs for Subtask B, from a total of 74 different teams. Data provided for the task are described by showing how they have been collected and annotated. Moreover, the paper provides an analysis and discussion about the participant systems and the results they achieved in both subtasks.

682 citations

Journal ArticleDOI
TL;DR: It is shown that maturation of BDNF, its cellular localization and its ability to regulate both excitatory and inhibitory synapses in the CNS may result in conflicting alterations in synaptic plasticity and memory formation.
Abstract: Since its discovery almost three decades ago, the secreted neurotrophin brain-derived neurotrophic factor (BDNF) has been firmly implicated in the differentiation and survival of neurons of the CNS. More recently, BDNF has also emerged as an important regulator of synaptogenesis and synaptic plasticity mechanisms underlying learning and memory in the adult CNS. In this review we will discuss our knowledge about the multiple intracellular signalling pathways activated by BDNF, and the role of this neurotrophin in long-term synaptic plasticity and memory formation as well as in synaptogenesis. We will show that maturation of BDNF, its cellular localisation and its ability to regulate both excitatory and inhibitory synapses in the CNS may result in conflicting alterations in synaptic plasticity and memory formation. Lack of a precise knowledge about the mechanisms by which BDNF influences higher cognitive functions and complex behaviours may constitute a severe limitation in the possibility to devise BDNF-based therapeutics for human disorders of the CNS.

673 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