Institution
Spanish National Research Council
Government•Madrid, Spain•
About: Spanish National Research Council is a government organization based out in Madrid, Spain. It is known for research contribution in the topics: Population & Galaxy. The organization has 79563 authors who have published 220470 publications receiving 7698991 citations. The organization is also known as: CSIC & Consejo Superior de Investigaciones Científicas.
Topics: Population, Galaxy, Catalysis, Stars, Star formation
Papers published on a yearly basis
Papers
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University of California, Berkeley1, Stanford University2, Spanish National Research Council3, University of New Mexico4, American Museum of Natural History5, University of California, Davis6, Simon Fraser University7, California Academy of Sciences8, University of Wisconsin-Madison9, University of California, San Francisco10, Missouri Botanical Garden11
TL;DR: Evidence that the global ecosystem as a whole is approaching a planetary-scale critical transition as a result of human influence is reviewed, highlighting the need to improve biological forecasting by detecting early warning signs of critical transitions.
Abstract: There is evidence that human influence may be forcing the global ecosystem towards a rapid, irreversible, planetary-scale shift into a state unknown in human experience. Most forecasts of how the biosphere will change in response to human activity are rooted in projecting trajectories. Such models tend not anticipate critical transitions or tipping points, although recent work indicates a high probability of those taking place. And, at a local scale, ecosystems are known to shift abruptly between states when critical thresholds are passed. These authors review the evidence from across ecology and palaeontology that such a transition is being approached on the scale of the entire biosphere. They go on to suggest how biological forecasting might be improved to allow us to detect early warning signs of critical transitions on a global, as well as local, scale. Localized ecological systems are known to shift abruptly and irreversibly from one state to another when they are forced across critical thresholds. Here we review evidence that the global ecosystem as a whole can react in the same way and is approaching a planetary-scale critical transition as a result of human influence. The plausibility of a planetary-scale ‘tipping point’ highlights the need to improve biological forecasting by detecting early warning signs of critical transitions on global as well as local scales, and by detecting feedbacks that promote such transitions. It is also necessary to address root causes of how humans are forcing biological changes.
1,571 citations
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TL;DR: A toolbox with definitions of key theoretical elements and a synthesis of the current understanding of the molecular and genetic mechanisms underlying plasticity relevant to climate change is provided to provide clear directives for future research and stimulate cross-disciplinary dialogue on the relevance of phenotypic plasticity under climate change.
1,569 citations
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University of London1, University of Queensland2, Nagasaki University3, RMIT University4, Harvard University5, Spanish National Research Council6, Queensland University of Technology7, Umeå University8, Yale University9, National Taiwan University10, Fudan University11, Seoul National University12, University of São Paulo13, University of Tsukuba14
TL;DR: Most of the temperature-related mortality burden was attributable to the contribution of cold, and the effect of days of extreme temperature was substantially less than that attributable to milder but non-optimum weather.
1,569 citations
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TL;DR: A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels.
Abstract: A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4l decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two experiments. The measured masses from the individual channels and the two experiments are found to be consistent among themselves. The combined measured mass of the Higgs boson is mH=125.09±0.21 (stat)±0.11 (syst) GeV.
1,567 citations
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University of Zurich1, Spanish National Research Council2, University of New South Wales3, University of Sydney4, Johns Hopkins University5, University of Manchester6, University of Oslo7, Centre national de la recherche scientifique8, Heidelberg University9, University of California, San Diego10, Stanford University11, Howard Hughes Medical Institute12
TL;DR: The most common building blocks and techniques used to implement these circuits, and an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin–Huxley models to bi-dimensional generalized adaptive integrate and fire models.
Abstract: Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain-machine interfaces. The specific circuit solutions used to implement silicon neurons depend on the application requirements. In this paper we describe the most common building blocks and techniques used to implement these circuits, and present an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin-Huxley models to bi-dimensional generalized adaptive integrate and fire models. We compare the different design methodologies used for each silicon neuron design described, and demonstrate their features with experimental results, measured from a wide range of fabricated VLSI chips.
1,559 citations
Authors
Showing all 79686 results
Name | H-index | Papers | Citations |
---|---|---|---|
Guido Kroemer | 236 | 1404 | 246571 |
George Efstathiou | 187 | 637 | 156228 |
Peidong Yang | 183 | 562 | 144351 |
H. S. Chen | 179 | 2401 | 178529 |
David R. Williams | 178 | 2034 | 138789 |
Andrea Bocci | 172 | 2402 | 176461 |
Adrian L. Harris | 170 | 1084 | 120365 |
Gang Chen | 167 | 3372 | 149819 |
Gregory J. Hannon | 165 | 421 | 140456 |
Alvaro Pascual-Leone | 165 | 969 | 98251 |
Jorge E. Cortes | 163 | 2784 | 124154 |
Dongyuan Zhao | 160 | 872 | 106451 |
John B. Goodenough | 151 | 1064 | 113741 |
David D'Enterria | 150 | 1592 | 116210 |
A. Gomes | 150 | 1862 | 113951 |