Institution
Cardiff University
Education•Cardiff, United Kingdom•
About: Cardiff University is a education organization based out in Cardiff, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 34188 authors who have published 82643 publications receiving 3046531 citations. The organization is also known as: University of Cardiff & University College of South Wales and Monmouthshire.
Topics: Population, Context (language use), Catalysis, Galaxy, Poison control
Papers published on a yearly basis
Papers
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TL;DR: The equations, which were initially developed to explain isolated triggered bursts, provide one of the simplest models of the more general phenomenon of oscillatory burst discharge.
Abstract: We describe a modification to our recent model of the action potential which introduces two additional equilibrium points. By using stability analysis we show that one of these equilibrium points is a saddle point from which there are two separatrices which divide the phase plane into two regions. In one region all phase paths approach a limit cycle and in the other all phase paths approach a stable equilibrium point. A consequence of this is that a short depolarizing current pulse will change an initially silent model neuron into one that fires repetitively. Addition of a third equation limits this firing to either an isolated burst or a depolarizing afterpotential. When steady depolarizing current was applied to this model it resulted in periodic bursting. The equations, which were initially developed to explain isolated triggered bursts, therefore provide one of the simplest models of the more general phenomenon of oscillatory burst discharge.
1,631 citations
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TL;DR: The tissue niche-specific factors that dictate cell phenotype are discussed, which will allow new strategies to promote the restoration of tissue homeostasis and explain why simplified models of macrophage activation do not explain the extent of heterogeneity seen in vivo.
Abstract: Tissue-resident macrophages are a heterogeneous population of immune cells that fulfill tissue-specific and niche-specific functions. These range from dedicated homeostatic functions, such as clearance of cellular debris and iron processing, to central roles in tissue immune surveillance, response to infection and the resolution of inflammation. Recent studies highlight marked heterogeneity in the origins of tissue macrophages that arise from hematopoietic versus self-renewing embryo-derived populations. We discuss the tissue niche-specific factors that dictate cell phenotype, the definition of which will allow new strategies to promote the restoration of tissue homeostasis. Understanding the mechanisms that dictate tissue macrophage heterogeneity should explain why simplified models of macrophage activation do not explain the extent of heterogeneity seen in vivo.
1,626 citations
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Duke University1, University of Texas at Austin2, Heidelberg Institute for Theoretical Studies3, Xi'an Jiaotong University4, American Museum of Natural History5, Beijing Genomics Institute6, New Mexico State University7, University of Sydney8, University of California9, Uppsala University10, University of Copenhagen11, Okinawa Institute of Science and Technology12, University of Georgia13, Griffith University14, Catalan Institution for Research and Advanced Studies15, Oak Ridge National Laboratory16, Joint Institute for Nuclear Research17, Aarhus University18, Washington University in St. Louis19, University of California, Santa Cruz20, Cardiff University21, Kunming Institute of Zoology22, China Agricultural University23, Tulane University24, Louisiana State University25, Copenhagen Zoo26, Federal University of Pará27, Oregon Health & Science University28, Technical University of Denmark29, Canterbury Museum30, Curtin University31, Novosibirsk State University32, Smithsonian Institution33, National University of Singapore34, National Museum of Natural History35, Nova Southeastern University36, Occidental College37, University of Edinburgh38, Harvard University39, University of California, San Francisco40, University of Florida41, University of Illinois at Urbana–Champaign42
TL;DR: A genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves recovered a highly resolved tree that confirms previously controversial sister or close relationships and identifies the first divergence in Neoaves, two groups the authors named Passerea and Columbea.
Abstract: To better determine the history of modern birds, we performed a genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves using phylogenomic methods created to handle genome-scale data. We recovered a highly resolved tree that confirms previously controversial sister or close relationships. We identified the first divergence in Neoaves, two groups we named Passerea and Columbea, representing independent lineages of diverse and convergently evolved land and water bird species. Among Passerea, we infer the common ancestor of core landbirds to have been an apex predator and confirm independent gains of vocal learning. Among Columbea, we identify pigeons and flamingoes as belonging to sister clades. Even with whole genomes, some of the earliest branches in Neoaves proved challenging to resolve, which was best explained by massive protein-coding sequence convergence and high levels of incomplete lineage sorting that occurred during a rapid radiation after the Cretaceous-Paleogene mass extinction event about 66 million years ago.
1,624 citations
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TL;DR: The use of either lean thinking or agile manufacturing has to be combined with a total supply chain strategy particularly considering market knowledge and positioning of the decoupling point as agile manufacturing is best suited to satisfying a fluctuating demand and lean manufacturing requires a level schedule.
1,613 citations
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TL;DR: This analysis expands upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation of state and have spins within the range observed in Galactic binary neutron stars.
Abstract: On 17 August 2017, the LIGO and Virgo observatories made the first direct detection of gravitational waves from the coalescence of a neutron star binary system. The detection of this gravitational-wave signal, GW170817, offers a novel opportunity to directly probe the properties of matter at the extreme conditions found in the interior of these stars. The initial, minimal-assumption analysis of the LIGO and Virgo data placed constraints on the tidal effects of the coalescing bodies, which were then translated to constraints on neutron star radii. Here, we expand upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation of state and have spins within the range observed in Galactic binary neutron stars. Our analysis employs two methods: the use of equation-of-state-insensitive relations between various macroscopic properties of the neutron stars and the use of an efficient parametrization of the defining function pðρÞ of the equation of state itself. From the LIGO and Virgo data alone and the first method, we measure the two neutron star radii as R1 ¼ 10.8 þ2.0 −1.7 km for the heavier star and R2 ¼ 10.7 þ2.1 −1.5 km for the lighter star at the 90% credible level. If we additionally require that the equation of state supports neutron stars with masses larger than 1.97 M⊙ as required from electromagnetic observations and employ the equation-of-state parametrization, we further constrain R1 ¼ 11.9 þ1.4 −1.4 km and R2 ¼ 11.9 þ1.4 −1.4 km at the 90% credible level. Finally, we obtain constraints on pðρÞ at supranuclear densities, with pressure at twice nuclear saturation density measured at 3.5 þ2.7 −1.7 × 1034 dyn cm−2 at the 90% level.
1,595 citations
Authors
Showing all 34629 results
Name | H-index | Papers | Citations |
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Rob Knight | 201 | 1061 | 253207 |
Stephen V. Faraone | 188 | 1427 | 140298 |
John J.V. McMurray | 178 | 1389 | 184502 |
David R. Williams | 178 | 2034 | 138789 |
John Hardy | 177 | 1178 | 171694 |
Dorret I. Boomsma | 176 | 1507 | 136353 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Anders Björklund | 165 | 769 | 84268 |
Edward T. Bullmore | 165 | 746 | 112463 |
Peter A. R. Ade | 162 | 1387 | 138051 |
Michael John Owen | 160 | 1110 | 135795 |
Gavin Davies | 159 | 2036 | 149835 |
Suvadeep Bose | 154 | 960 | 129071 |
Todd Adams | 154 | 1866 | 143110 |
John R. Hodges | 149 | 812 | 82709 |