Institution
Universidad San Francisco de Quito
Education•Quito, Ecuador•
About: Universidad San Francisco de Quito is a education organization based out in Quito, Ecuador. It is known for research contribution in the topics: Tevatron & Population. The organization has 1752 authors who have published 3267 publications receiving 61522 citations. The organization is also known as: Universidad San Francisco.
Topics: Tevatron, Population, Large Hadron Collider, Standard Model, Lepton
Papers published on a yearly basis
Papers
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Boston Children's Hospital1, University of Oxford2, Harvard University3, Northeastern University4, Universidad San Francisco de Quito5, University of Southampton6, Institute for Health Metrics and Evaluation7, University of Paris8, Pasteur Institute9, Institute for Scientific Interchange10, Beijing Normal University11, Royal Veterinary College12
TL;DR: Real-time mobility data from Wuhan and detailed case data including travel history are used to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures.
Abstract: The ongoing coronavirus disease 2019 (COVID-19) outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions were undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We used real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. After the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside of Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19.
2,362 citations
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TL;DR: Evidence is emerging that beneficial root-inhabiting microbes also hijack the hormone-regulated immune signaling network to establish a prolonged mutualistic association, highlighting the central role of plant hormones in the regulation of plant growth and survival.
Abstract: Plant hormones have pivotal roles in the regulation of plant growth, development, and reproduction. Additionally, they emerged as cellular signal molecules with key functions in the regulation of immune responses to microbial pathogens, insect herbivores, and beneficial microbes. Their signaling pathways are interconnected in a complex network, which provides plants with an enormous regulatory potential to rapidly adapt to their biotic environment and to utilize their limited resources for growth and survival in a cost-efficient manner. Plants activate their immune system to counteract attack by pathogens or herbivorous insects. Intriguingly, successful plant enemies evolved ingenious mechanisms to rewire the plant’s hormone signaling circuitry to suppress or evade host immunity. Evidence is emerging that beneficial root-inhabiting microbes also hijack the hormone-regulated immune signaling network to establish a prolonged mutualistic association, highlighting the central role of plant hormones in the regulation of plant growth and survival.
2,132 citations
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TL;DR: The results provide the first analysis of the global conservation status and distribution patterns of reptiles and the threats affecting them, highlighting conservation priorities and knowledge gaps which need to be addressed urgently to ensure the continued survival of the world’s reptiles.
720 citations
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TL;DR: A fully-fledged particle-flow reconstruction algorithm tuned to the CMS detector was developed and has been consistently used in physics analyses for the first time at a hadron collider as mentioned in this paper.
Abstract: The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic τ decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8\TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions.
719 citations
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University of Melbourne1, Australian National University2, Ghent University3, University of Pamplona4, Pontifical Catholic University of Chile5, University of Puerto Rico6, State University of Campinas7, Florida International University8, Spanish National Research Council9, Imperial College London10, Alexander von Humboldt Biological Resources Research Institute11, University of Los Andes12, Zoological Society of London13, North-West University14, Smithsonian Institution15, Universidad San Francisco de Quito16, Colorado State University17, Museum für Naturkunde18, Massey University19, University of Maryland, College Park20, University of Florida21, University of the Republic22, Cornell University23, Georgia Institute of Technology24, National Autonomous University of Mexico25, University of Pittsburgh26, Instituto Politécnico Nacional27, Andrés Bello National University28, University of Nevada, Reno29, Zoo Miami30, Natural History Museum31
TL;DR: A global, quantitative assessment of the amphibian chytridiomycosis panzootic demonstrates its role in the decline of at least 501 amphibian species over the past half-century and represents the greatest recorded loss of biodiversity attributable to a disease.
Abstract: Anthropogenic trade and development have broken down dispersal barriers, facilitating the spread of diseases that threaten Earth's biodiversity. We present a global, quantitative assessment of the amphibian chytridiomycosis panzootic, one of the most impactful examples of disease spread, and demonstrate its role in the decline of at least 501 amphibian species over the past half-century, including 90 presumed extinctions. The effects of chytridiomycosis have been greatest in large-bodied, range-restricted anurans in wet climates in the Americas and Australia. Declines peaked in the 1980s, and only 12% of declined species show signs of recovery, whereas 39% are experiencing ongoing decline. There is risk of further chytridiomycosis outbreaks in new areas. The chytridiomycosis panzootic represents the greatest recorded loss of biodiversity attributable to a disease.
680 citations
Authors
Showing all 1779 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sergey Burdin | 131 | 1283 | 91273 |
Jiri Kvita | 105 | 899 | 47651 |
Pedro Romero | 93 | 358 | 32624 |
Igor F. Palacios | 81 | 434 | 23653 |
K. Soustruznik | 69 | 492 | 20558 |
B. Hoeneisen | 64 | 504 | 18534 |
K. W. Merritt | 62 | 367 | 16350 |
E. Carrera Jarrin | 58 | 381 | 13787 |
Keith E. Maskus | 57 | 217 | 11899 |
H. S. Mao | 52 | 268 | 9982 |
W. Geng | 51 | 244 | 9034 |
Reyes Sierra-Alvarez | 49 | 212 | 7701 |
Anthony Di Fiore | 48 | 155 | 11656 |
Carl F. Marrs | 47 | 145 | 6747 |
Edgar Carrera Jarrin | 43 | 192 | 5942 |