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Institution

University of Arizona

EducationTucson, Arizona, United States
About: University of Arizona is a education organization based out in Tucson, Arizona, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 63805 authors who have published 155998 publications receiving 6854915 citations. The organization is also known as: UA & U of A.
Topics: Population, Galaxy, Star formation, Redshift, Planet


Papers
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Journal ArticleDOI
TL;DR: By integrating new evidence from a wide range of fields, it is concluded that hydraulic function and carbohydrate and defense metabolism have numerous potential failure points, and that these processes are strongly interdependent, both with each other and with destructive pathogen and insect populations.
Abstract: Climate-driven vegetation mortality is occurring globally and is predicted to increase in the near future. The expected climate feedbacks of regional-scale mortality events have intensified the need to improve the simple mortality algorithms used for future predictions, but uncertainty regarding mortality processes precludes mechanistic modeling. By integrating new evidence from a wide range of fields, we conclude that hydraulic function and carbohydrate and defense metabolism have numerous potential failure points, and that these processes are strongly interdependent, both with each other and with destructive pathogen and insect populations. Crucially, most of these mechanisms and their interdependencies are likely to become amplified under a warmer, drier climate. Here, we outline the observations and experiments needed to test this interdependence and to improve simulations of this emergent global phenomenon.

889 citations

Journal ArticleDOI
29 Jun 2001-Cell
TL;DR: Myocardin is the founding member of a class of muscle transcription factors and provides a mechanism whereby SRF can convey myogenic activity to cardiac muscle genes.

888 citations

Journal ArticleDOI
25 Apr 2018-Nature
TL;DR: Analyses of genetic variation and population structure based on over 3,000 cultivated rice (Oryza sativa) genomes reveal subpopulations that correlate with geographic location and patterns of introgression consistent with multiple rice domestication events.
Abstract: Here we analyse genetic variation, population structure and diversity among 3,010 diverse Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our results are consistent with the five major groups previously recognized, but also suggest several unreported subpopulations that correlate with geographic location. We identified 29 million single nucleotide polymorphisms, 2.4 million small indels and over 90,000 structural variations that contribute to within- and between-population variation. Using pan-genome analyses, we identified more than 10,000 novel full-length protein-coding genes and a high number of presence-absence variations. The complex patterns of introgression observed in domestication genes are consistent with multiple independent rice domestication events. The public availability of data from the 3,000 Rice Genomes Project provides a resource for rice genomics research and breeding.

885 citations

Journal ArticleDOI
Moinuddin Ahmed1, Kevin J. Anchukaitis2, Kevin J. Anchukaitis3, Asfawossen Asrat4, H. P. Borgaonkar5, Martina Braida6, Brendan M. Buckley3, Ulf Büntgen7, Brian M. Chase8, Brian M. Chase9, Duncan A. Christie10, Duncan A. Christie11, Edward R. Cook3, Mark A. J. Curran12, Mark A. J. Curran13, Henry F. Diaz14, Jan Esper15, Ze-Xin Fan16, Narayan Prasad Gaire17, Quansheng Ge18, Joelle Gergis19, J. Fidel González-Rouco20, Hugues Goosse21, Stefan W. Grab22, Nicholas E. Graham23, Rochelle Graham23, Martin Grosjean24, Sami Hanhijärvi25, Darrell S. Kaufman26, Thorsten Kiefer, Katsuhiko Kimura27, Atte Korhola25, Paul J. Krusic28, Antonio Lara11, Antonio Lara10, Anne-Marie Lézine29, Fredrik Charpentier Ljungqvist28, Andrew Lorrey30, Jürg Luterbacher31, Valérie Masson-Delmotte29, Danny McCarroll32, Joseph R. McConnell33, Nicholas P. McKay26, Mariano S. Morales34, Andrew D. Moy13, Andrew D. Moy12, Robert Mulvaney35, Ignacio A. Mundo34, Takeshi Nakatsuka36, David J. Nash22, David J. Nash37, Raphael Neukom7, Sharon E. Nicholson38, Hans Oerter39, Jonathan G. Palmer40, Jonathan G. Palmer41, Steven J. Phipps41, María Prieto32, Andrés Rivera42, Masaki Sano36, Mirko Severi43, Timothy M. Shanahan44, Xuemei Shao18, Feng Shi, Michael Sigl33, Jason E. Smerdon3, Olga Solomina45, Eric J. Steig46, Barbara Stenni6, Meloth Thamban47, Valerie Trouet48, Chris S. M. Turney41, Mohammed Umer4, Tas van Ommen13, Tas van Ommen12, Dirk Verschuren49, A. E. Viau50, Ricardo Villalba34, Bo Møllesøe Vinther51, Lucien von Gunten, Sebastian Wagner, Eugene R. Wahl14, Heinz Wanner24, Johannes P. Werner31, James W. C. White52, Koh Yasue53, Eduardo Zorita 
Federal Urdu University1, Woods Hole Oceanographic Institution2, Columbia University3, Addis Ababa University4, Indian Institute of Tropical Meteorology5, University of Trieste6, Swiss Federal Institute for Forest, Snow and Landscape Research7, University of Bergen8, University of Montpellier9, University of Chile10, Austral University of Chile11, Australian Antarctic Division12, University of Tasmania13, National Oceanic and Atmospheric Administration14, University of Mainz15, Xishuangbanna Tropical Botanical Garden16, Nepal Academy of Science and Technology17, Chinese Academy of Sciences18, University of Melbourne19, Complutense University of Madrid20, Université catholique de Louvain21, University of the Witwatersrand22, Hydrologic Research Center23, University of Bern24, University of Helsinki25, Northern Arizona University26, Fukushima University27, Stockholm University28, Université Paris-Saclay29, National Institute of Water and Atmospheric Research30, University of Giessen31, Swansea University32, Desert Research Institute33, National Scientific and Technical Research Council34, British Antarctic Survey35, Nagoya University36, University of Brighton37, Florida State University38, Alfred Wegener Institute for Polar and Marine Research39, University of Exeter40, University of New South Wales41, Centro de Estudios Científicos42, University of Florence43, University of Texas at Austin44, Russian Academy of Sciences45, University of Washington46, National Centre for Antarctic and Ocean Research47, University of Arizona48, Ghent University49, University of Ottawa50, University of Copenhagen51, University of Colorado Boulder52, Shinshu University53
TL;DR: The authors reconstructed past temperatures for seven continental-scale regions during the past one to two millennia and found that the most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century.
Abstract: Past global climate changes had strong regional expression To elucidate their spatio-temporal pattern, we reconstructed past temperatures for seven continental-scale regions during the past one to two millennia The most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century At multi-decadal to centennial scales, temperature variability shows distinctly different regional patterns, with more similarity within each hemisphere than between them There were no globally synchronous multi-decadal warm or cold intervals that define a worldwide Medieval Warm Period or Little Ice Age, but all reconstructions show generally cold conditions between ad 1580 and 1880, punctuated in some regions by warm decades during the eighteenth century The transition to these colder conditions occurred earlier in the Arctic, Europe and Asia than in North America or the Southern Hemisphere regions Recent warming reversed the long-term cooling; during the period ad 1971–2000, the area-weighted average reconstructed temperature was higher than any other time in nearly 1,400 years

885 citations

Journal ArticleDOI
TL;DR: In this article, a functional MRI experiment designed to test the hypothesis that the prefrontal cortex is involved in integrating theory-of-mind processing with cooperative actions was conducted, where participants in a scanner played standard two-person "trust and reciprocity" games with both human and computer counterparts.
Abstract: Cooperation between individuals requires the ability to infer each other's mental states to form shared expectations over mutual gains and make cooperative choices that realize these gains. From evidence that the ability for mental state attribution involves the use of prefrontal cortex, we hypothesize that this area is involved in integrating theory-of-mind processing with cooperative actions. We report data from a functional MRI experiment designed to test this hypothesis. Subjects in a scanner played standard two-person “trust and reciprocity” games with both human and computer counterparts for cash rewards. Behavioral data shows that seven subjects consistently attempted cooperation with their human counterpart. Within this group prefrontal regions are more active when subjects are playing a human than when they are playing a computer following a fixed (and known) probabilistic strategy. Within the group of five noncooperators, there are no significant differences in prefrontal activation between computer and human conditions.

885 citations


Authors

Showing all 64388 results

NameH-indexPapersCitations
Simon D. M. White189795231645
Julie E. Buring186950132967
David H. Weinberg183700171424
Richard Peto183683231434
Xiaohui Fan183878168522
Dennis S. Charney179802122408
Daniel J. Eisenstein179672151720
David Haussler172488224960
Carlos S. Frenk165799140345
Jian-Kang Zhu161550105551
Tobin J. Marks1591621111604
Todd Adams1541866143110
Jane A. Cauley15191499933
Wei Zheng1511929120209
Daniel L. Schacter14959290148
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023205
2022987
20217,005
20207,325
20196,716
20186,375