Institution
University of Naples Federico II
Education•Naples, Campania, Italy•
About: University of Naples Federico II is a education organization based out in Naples, Campania, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29291 authors who have published 68803 publications receiving 1920149 citations. The organization is also known as: Università degli Studi di Napoli Federico II & Naples University.
Topics: Population, Cancer, Large Hadron Collider, European Prospective Investigation into Cancer and Nutrition, Blood pressure
Papers published on a yearly basis
Papers
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TL;DR: Genomic and genetic studies have elucidated the role of mobile genetic elements in the transfer of antibiotic resistance genes and substantiate the rate of genetic alterations associated with acquisition in A. baumannii of various resistance genes, including OXA- and metallo-β-lactamase-type carbapenemase genes.
417 citations
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TL;DR: The ATLAS trigger system as discussed by the authors selects events by rapidly identifying signatures of muon, electron, photon, tau lepton, jet, and B meson candidates, as well as using global event signatures, such as missing transverse energy.
Abstract: Proton-proton collisions at root s = 7 TeV and heavy ion collisions at root(NN)-N-s = 2.76 TeV were produced by the LHC and recorded using the ATLAS experiment's trigger system in 2010. The LHC is designed with a maximum bunch crossing rate of 40 MHz and the ATLAS trigger system is designed to record approximately 200 of these per second. The trigger system selects events by rapidly identifying signatures of muon, electron, photon, tau lepton, jet, and B meson candidates, as well as using global event signatures, such as missing transverse energy. An overview of the ATLAS trigger system, the evolution of the system during 2010 and the performance of the trigger system components and selections based on the 2010 collision data are shown. A brief outline of plans for the trigger system in 2011 is presented.
417 citations
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University of Grenoble1, Katholieke Universiteit Leuven2, ETH Zurich3, Infineon Technologies4, University of Münster5, University of Gothenburg6, Royal Institute of Technology7, Helmholtz-Zentrum Dresden-Rossendorf8, Kaiserslautern University of Technology9, Université Paris-Saclay10, University of Vienna11, University of York12, University of Lorraine13, Catalan Institution for Research and Advanced Studies14, Spanish National Research Council15, Koç University16, University of Naples Federico II17, University of Messina18, University of Salamanca19
TL;DR: In this article, the potential of spintronics in four key areas of application (memory, sensors, microwave devices, and logic devices) is examined and the challenges that need to be addressed in order to integrate spintronic materials and functionalities into mainstream microelectronic platforms.
Abstract: Spintronic devices exploit the spin, as well as the charge, of electrons and could bring new capabilities to the microelectronics industry However, in order for spintronic devices to meet the ever-increasing demands of the industry, innovation in terms of materials, processes and circuits are required Here, we review recent developments in spintronics that could soon have an impact on the microelectronics and information technology industry We highlight and explore four key areas: magnetic memories, magnetic sensors, radio-frequency and microwave devices, and logic and non-Boolean devices We also discuss the challenges—at both the device and the system level—that need be addressed in order to integrate spintronic materials and functionalities into mainstream microelectronic platforms This Review Article examines the potential of spintronics in four key areas of application —memories, sensors, microwave devices, and logic devices — and discusses the challenges that need be addressed in order to integrate spintronic materials and functionalities into mainstream microelectronic platforms
417 citations
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TL;DR: The platooning problem is analyzed and solved by treating it as the problem of achieving consensus in a network of dynamical systems affected by time-varying heterogeneous delays due to wireless communication among vehicles.
Abstract: We analyze and solve the platooning problem by treating it as the problem of achieving consensus in a network of dynamical systems affected by time-varying heterogeneous delays due to wireless communication among vehicles Specifically, a platoon is modeled as a dynamical network where: 1) each vehicle, with its own dynamics, is a node; 2) the presence of communication links between neighboring vehicles is represented by edges; and 3) the structure of the intervehicle communication is encoded in the network topology A distributed control protocol, which acts on every vehicle in the platoon, is derived It is composed of two terms: a local action depending on the state variables of the vehicle itself (measured onboard) and an action depending on the information received from neighboring vehicles through the communication network The stability of the platoon is proven by using Lyapunov–Razumikhin theorem Numerical results are included to confirm and illustrate the theoretical derivation
415 citations
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Pennsylvania State University1, University of Science and Technology of China2, University of Arkansas3, Durham University4, Millennium Institute5, Space Science Institute6, Pontifical Catholic University of Chile7, Goddard Space Flight Center8, University of Maryland, Baltimore County9, INAF10, Nanjing University11, Space Telescope Science Institute12, European Southern Observatory13, University of Naples Federico II14, Agenzia Spaziale Italiana15, Lund University16, University of Ferrara17, University of North Texas18
TL;DR: In this article, the authors used wavdetect for initial source detection and ACIS Extract for photometric extraction and significance assessment, and created a main source catalog containing 1008 sources that are detected in up to three X-ray bands: 0.5-7.0 keV, 0.4 ×10-18, and 2.7 × 10-17 erg cm-2 s-1, respectively.
Abstract: We present X-ray source catalogs for the ≈7 Ms exposure of the Chandra Deep Field-South (CDF-S), which covers a total area of 484.2 arcmin2. Utilizing wavdetect for initial source detection and ACIS Extract for photometric extraction and significance assessment, we create a main source catalog containing 1008 sources that are detected in up to three X-ray bands: 0.5-7.0 keV, 0.5-2.0 keV, and 2-7 keV. A supplementary source catalog is also provided, including 47 lower-significance sources that have bright (Ks ≤ 23) near-infrared counterparts. We identify multiwavelength counterparts for 992 (98.4%) of the main-catalog sources, and we collect redshifts for 986 of these sources, including 653 spectroscopic redshifts and 333 photometric redshifts. Based on the X-ray and multiwavelength properties, we identify 711 active galactic nuclei (AGNs) from the main-catalog sources. Compared to the previous ≈4 Ms CDF-S catalogs, 291 of the main-catalog sources are new detections. We have achieved unprecedented X-ray sensitivity with average flux limits over the central ≈1 arcmin2 region of ≈1.9 ×10-17, 6.4 ×10-18, and 2.7 ×10-17 erg cm-2 s-1 in the three X-ray bands, respectively. We provide cumulative number-count measurements observing, for the first time, that normal galaxies start to dominate the X-ray source population at the faintest 0.5-2.0 keV flux levels. The highest X-ray source density reaches ≈50,500 deg-2, and 47% ± 4% of these sources are AGNs (≈23,900 deg-2). (Less)
415 citations
Authors
Showing all 29740 results
Name | H-index | Papers | Citations |
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D. M. Strom | 176 | 3167 | 194314 |
Yang Gao | 168 | 2047 | 146301 |
Robert Stone | 160 | 1756 | 167901 |
Elio Riboli | 158 | 1136 | 110499 |
Barry J. Maron | 155 | 792 | 91595 |
H. Eugene Stanley | 154 | 1190 | 122321 |
Paul Elliott | 153 | 773 | 103839 |
Robert O. Bonow | 149 | 808 | 114836 |
Kai Simons | 147 | 426 | 93178 |
Peter Buchholz | 143 | 1181 | 92101 |
Martino Margoni | 141 | 2059 | 107829 |
H. A. Neal | 141 | 1903 | 115480 |
Luca Lista | 140 | 2044 | 110645 |
Pierluigi Paolucci | 138 | 1965 | 105050 |
Ari Helenius | 137 | 298 | 64789 |