Institution
University of Siena
Education•Siena, Italy•
About: University of Siena is a education organization based out in Siena, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 12179 authors who have published 33334 publications receiving 1008287 citations. The organization is also known as: Università degli studi di Siena & Universita degli studi di Siena.
Topics: Population, Cancer, Large Hadron Collider, Sperm, Oxidative stress
Papers published on a yearly basis
Papers
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TL;DR: By fabricating nanometric features in silica and by casting reverse features in polycaprolactone and culturing vertebrate cells in culture upon them, that cells react in their adhesion to the features, in agreement with recent predictions from non-biological nanometric systems.
228 citations
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Bulgarian Academy of Sciences1, CERN2, University of Siena3, University of Genoa4, University of Helsinki5, Helsinki Institute of Physics6, Case Western Reserve University7, Russian Academy of Sciences8, Warsaw University of Technology9, Academy of Sciences of the Czech Republic10, National Institute of Chemical Physics and Biophysics11, Czech Technical University in Prague12, Pennsylvania State University13
TL;DR: Antchev et al. as discussed by the authors measured the differential cross-section for proton-proton elastic scattering as a function of the four-momentum transfer squared t at the LHC energy of, under various beam and background conditions, luminosities, and Roman Pot positions.
Abstract: At the LHC energy of , under various beam and background conditions, luminosities, and Roman Pot positions, TOTEM has measured the differential cross-section for proton-proton elastic scattering as a function of the four-momentum transfer squared t. The results of the different analyses are in excellent agreement demonstrating no sizeable dependence on the beam conditions. Due to the very close approach of the Roman Pot detectors to the beam center (?5?beam) in a dedicated run with ?*?=?90?m, |t|-values down to 5?10?3?GeV2 were reached. The exponential slope of the differential elastic cross-section in this newly explored |t|-region remained unchanged and thus an exponential fit with only one constant B?=?(19.9???0.3)?GeV?2 over the large |t|-range from 0.005 to 0.2?GeV2 describes the differential distribution well. The high precision of the measurement and the large fit range lead to an error on the slope parameter B which is remarkably small compared to previous experiments. It allows a precise extrapolation over the non-visible cross-section (only 9%) to t?=?0. With the luminosity from CMS, the elastic cross-section was determined to be (25.4???1.1)?mb, and using in addition the optical theorem, the total pp cross-section was derived to be (98.6???2.2)?mb. For model comparisons the t-distributions are tabulated including the large |t|-range of the previous measurement (TOTEM Collaboration (Antchev G. et al), EPL, 95 (2011) 41001).
228 citations
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TL;DR: In this article, a weakly defective irreducible projective variety X is defined as one whose intersection with a general (k + 1)-tangent hyperplane has no isolated singularities at the k + 1 points of tangency.
Abstract: A projective variety X is k-weakly defective' when its intersection with a general (k + 1)-tangent hyperplane has no isolated singularities at the k + 1 points of tangency. If X is k-defective, i.e. if the k-secant variety of X has dimension smaller than expected, then X is also k-weakly defective. The converse does not hold in general. A classification of weakly defective varieties seems to be a basic step in the study of defective varieties of higher dimension. We start this classification here, describing all weakly defective irreducible surfaces. Our method also provides a new proof of the classical Terracini's classification of k-defective surfaces.
228 citations
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TL;DR: It is suggested that oxytocin modulates emotion processing in healthy male volunteers, which may contribute to the emerging role of the neuropeptide in promoting affiliative and approach behaviours by reducing the salience of potentially ambiguous and threatening social stimuli.
Abstract: Animal studies have shown the role of oxytocin in affiliation and attachment, and recent evidence suggests that oxytocin is also involved in human models of approach behaviour, possibly by modulating the processing of emotionally valenced stimuli. Although oxytocin administration has been reported to decrease neural responses to facial emotional information, the effects on a wider range of behavioural measures of emotional processing shown to be sensitive to antidepressant manipulation have not been examined. The aim of this study was to investigate whether intranasally administered oxytocin affects the processing of positive and negative affective information in healthy male volunteers across tasks measuring attention, perception and memory. Twenty-nine male healthy volunteers were randomly allocated to receive a single dose of oxytocin nasal spray (24 UI) or placebo. 50 min later, participants completed a battery of psychological tests measuring emotional processing. A single dose of intranasally administered oxytocin slowed reaction time to correctly identify fearful facial expressions and reduced the misclassification of positive emotions as negative ones. These effects occurred in the absence of significant differences in subjective ratings of mood and anxiety. These results suggest that oxytocin modulates emotion processing in healthy male volunteers. This action may contribute to the emerging role of the neuropeptide in promoting affiliative and approach behaviours by reducing the salience of potentially ambiguous and threatening social stimuli.
228 citations
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École Polytechnique Fédérale de Lausanne1, University at Buffalo2, ETH Zurich3, Uppsala University4, Hebrew University of Jerusalem5, Katholieke Universiteit Leuven6, University of Bologna7, University of Siena8, Aix-Marseille University9, National University of Singapore10, Lund University11, Stockholm University12, University of Oslo13, Nagoya University14, Imperial College London15, Autonomous University of Madrid16, University of Nantes17, University of Liège18
TL;DR: This article provides a comprehensive overview of the main features of the MOLCAS/OpenMolcas code, specifically reviewing the use of the code in previously reported chemical applications as well as more recent applications including the calculation of magnetic properties from optimized density matrix renormalization group wave functions.
Abstract: MOLCAS/OpenMolcas is an ab initio electronic structure program providing a large set of computational methods from Hartree-Fock and density functional theory to various implementations of multiconfigurational theory. This article provides a comprehensive overview of the main features of the code, specifically reviewing the use of the code in previously reported chemical applications as well as more recent applications including the calculation of magnetic properties from optimized density matrix renormalization group wave functions.
228 citations
Authors
Showing all 12352 results
Name | H-index | Papers | Citations |
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Johan Auwerx | 158 | 653 | 95779 |
I. V. Gorelov | 139 | 1916 | 103133 |
Roberto Tenchini | 133 | 1390 | 94541 |
Francesco Fabozzi | 133 | 1561 | 93364 |
M. Davier | 132 | 1449 | 107642 |
Roberto Dell'Orso | 132 | 1412 | 92792 |
Rino Rappuoli | 132 | 816 | 64660 |
Teimuraz Lomtadze | 129 | 893 | 80314 |
Manas Maity | 129 | 1309 | 87465 |
Dezso Horvath | 128 | 1283 | 88111 |
Paolo Azzurri | 126 | 1058 | 81651 |
Vincenzo Di Marzo | 126 | 659 | 60240 |
Igor Katkov | 125 | 972 | 71845 |
Ying Lu | 123 | 708 | 62645 |
Thomas Schwarz | 123 | 701 | 54560 |