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Institution

University of Florence

EducationFlorence, Toscana, Italy
About: University of Florence is a education organization based out in Florence, Toscana, Italy. It is known for research contribution in the topics: Population & Carbonic anhydrase. The organization has 27292 authors who have published 79599 publications receiving 2341684 citations. The organization is also known as: Università degli studi di Firenze & Universita degli studi di Firenze.


Papers
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Journal ArticleDOI
25 Sep 2015-Science
TL;DR: In this article, the existence of chiral edge states in a ribbon geometry with an ultracold gas of neutral fermions subjected to an artificial gauge field was detected by imaging individual sites encoded in the nuclear spin of the atoms.
Abstract: Chiral edge states are a hallmark of quantum Hall physics. In electronic systems, they appear as a macroscopic consequence of the cyclotron orbits induced by a magnetic field, which are naturally truncated at the physical boundary of the sample. Here we report on the experimental realization of chiral edge states in a ribbon geometry with an ultracold gas of neutral fermions subjected to an artificial gauge field. By imaging individual sites along a synthetic dimension, encoded in the nuclear spin of the atoms, we detect the existence of the edge states and observe the edge-cyclotron orbits induced during quench dynamics. The realization of fermionic chiral edge states opens the door for edge state interferometry and the study of non-Abelian anyons in atomic systems.

479 citations

Journal ArticleDOI
Iñigo Olalde1, Selina Brace2, Morten E. Allentoft3, Ian Armit4  +166 moreInstitutions (69)
08 Mar 2018-Nature
TL;DR: Genome-wide data from 400 Neolithic, Copper Age and Bronze Age Europeans is presented, finding limited genetic affinity between Beaker-complex-associated individuals from Iberia and central Europe, and excludes migration as an important mechanism of spread between these two regions.
Abstract: From around 2750 to 2500 bc, Bell Beaker pottery became widespread across western and central Europe, before it disappeared between 2200 and 1800 bc. The forces that propelled its expansion are a matter of long-standing debate, and there is support for both cultural diffusion and migration having a role in this process. Here we present genome-wide data from 400 Neolithic, Copper Age and Bronze Age Europeans, including 226 individuals associated with Beaker-complex artefacts. We detected limited genetic affinity between Beaker-complex-associated individuals from Iberia and central Europe, and thus exclude migration as an important mechanism of spread between these two regions. However, migration had a key role in the further dissemination of the Beaker complex. We document this phenomenon most clearly in Britain, where the spread of the Beaker complex introduced high levels of steppe-related ancestry and was associated with the replacement of approximately 90% of Britain's gene pool within a few hundred years, continuing the east-to-west expansion that had brought steppe-related ancestry into central and northern Europe over the previous centuries.

479 citations

Journal ArticleDOI
TL;DR: Depression, fatigue and disability level were confirmed to be significant and independent predictors of quality of life and their main clinical and demographical determinants in a clinical series of 103 patients with multiple sclerosis.
Abstract: This study deals with the assessment of quality of life and its main clinical and demographical determinants in a clinical series of 103 patients with multiple sclerosis (MS) (37 men; 66 women; mean age 44.89 years; mean disease duration 12.40 years; mean EDSS score 4.07). We used the MSQOL-54 inventory, a disease-specific instrument recently validated in an Italian population. Each patient underwent a complete clinical assessment, including that of disability status (Expanded Disability Status Scale), cognitive function (Mini Mental State Examination), depression (Hamilton Rating Scale for Depression) and fatigue (Fatigue Severity Scale). In terms of Pearson's correlations, there was a moderate inverse relationship between disability level and the MSQOL-54 physical composite score, and a moderate to strong inverse correlation between depression or fatigue severity and both the physical and mental composite scores. In a stepwise linear regression analysis, depression, fatigue and disability level were confirmed to be significant and independent predictors of quality of life. Quality of life instruments can help to provide a broader measure of the disease impact and to develop a care program tailored to the patient's needs.

477 citations

Journal ArticleDOI
TL;DR: The involvement of the MYC-MAX-MXD1 network in the development and progression of neural crest cell tumors is supported and the lack of functional MAX in rat PCC (PC12) cells is supported, which suggests that loss of MAX function is correlated with metastatic potential.
Abstract: Hereditary pheochromocytoma (PCC) is often caused by germline mutations in one of nine susceptibility genes described to date, but there are familial cases without mutations in these known genes. We sequenced the exomes of three unrelated individuals with hereditary PCC (cases) and identified mutations in MAX, the MYC associated factor X gene. Absence of MAX protein in the tumors and loss of heterozygosity caused by uniparental disomy supported the involvement of MAX alterations in the disease. A follow-up study of a selected series of 59 cases with PCC identified five additional MAX mutations and suggested an association with malignant outcome and preferential paternal transmission of MAX mutations. The involvement of the MYC-MAX-MXD1 network in the development and progression of neural crest cell tumors is further supported by the lack of functional MAX in rat PCC (PC12) cells and by the amplification of MYCN in neuroblastoma and suggests that loss of MAX function is correlated with metastatic potential.

477 citations


Authors

Showing all 27699 results

NameH-indexPapersCitations
Charles A. Dinarello1901058139668
D. M. Strom1763167194314
Gregory Y.H. Lip1693159171742
Christopher M. Dobson1501008105475
Dirk Inzé14964774468
Thomas Hebbeker1481984114004
Marco Zanetti1451439104610
Richard B. Devereux144962116403
Gunther Roland1411471100681
Markus Klute1391447104196
Tariq Aziz138164696586
Guido Tonelli138145897248
Giorgio Trinchieri13843378028
Christof Roland137130896632
Christoph Paus1371585100801
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023244
2022631
20215,298
20205,251
20194,652
20184,147