Institution
University of Hawaii
Education•Honolulu, Hawaii, United States•
About: University of Hawaii is a education organization based out in Honolulu, Hawaii, United States. It is known for research contribution in the topics: Galaxy & Population. The organization has 17971 authors who have published 36102 publications receiving 1620196 citations.
Topics: Galaxy, Population, Redshift, Stars, Star formation
Papers published on a yearly basis
Papers
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TL;DR: Seven prostate cancer risk variants are identified, five of them previously undescribed, spanning 430 kb and each independently predicting risk for prostate cancer (P = 7.9 × 10−19 for the strongest association), and common genotypes that span a more than fivefold range of susceptibility to cancer in some populations are defined.
Abstract: After the recent discovery that common genetic variation in 8q24 influences inherited risk of prostate cancer, we genotyped 2,973 SNPs in up to 7,518 men with and without prostate cancer from five populations. We identified seven risk variants, five of them previously undescribed, spanning 430 kb and each independently predicting risk for prostate cancer (P = 7.9 x 10(-19) for the strongest association, and P < 1.5 x 10(-4) for five of the variants, after controlling for each of the others). The variants define common genotypes that span a more than fivefold range of susceptibility to cancer in some populations. None of the prostate cancer risk variants aligns to a known gene or alters the coding sequence of an encoded protein.
668 citations
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TL;DR: In this article, the authors show that NMORB and the depleted MORB mantle reservoir are characterised by a similarly limited range in / ratios and suggest that the high / MORB-like basalts may ultimately be related to mantle plumes and represent melts of a depleted component entrained by the plumes.
666 citations
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University of Copenhagen1, Stockholm University2, University of Washington3, Harvard University4, Pontifical Catholic University of Chile5, University of California, Berkeley6, University of Notre Dame7, Stanford University8, Texas A&M University9, European Southern Observatory10, Fermilab11, Space Telescope Science Institute12, Johns Hopkins University13, Australian National University14, University of Hawaii15, University of Illinois at Urbana–Champaign16
TL;DR: The first cosmological results from the ESSENCE supernova survey (Wood-Vasey and coworkers) are extended to a wider range of cosmology models including dynamical dark energy and nonstandard cosmologies as mentioned in this paper.
Abstract: The first cosmological results from the ESSENCE supernova survey (Wood-Vasey and coworkers) are extended to a wider range of cosmological models including dynamical dark energy and nonstandard cosmological models. We fold in a greater number of external data sets such as the recent Higher-z release of high-redshift supernovae (Riess and coworkers), as well as several complementary cosmological probes. Model comparison statistics such as the Bayesian and Akaike information criteria are applied to gauge the worth of models. These statistics favor models that give a good fit with fewer parameters. Based on this analysis, the preferred cosmological model is the flat cosmological constant model, where the expansion history of the universe can be adequately described with only one free parameter describing the energy content of the universe. Among the more exotic models that provide good fits to the data, we note a preference for models whose best-fit parameters reduce them to the cosmological constant model.
665 citations
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Institut Gustave Roussy1, University of São Paulo2, Katholieke Universiteit Leuven3, University of Burgundy4, Sapienza University of Rome5, Istituto Superiore di Sanità6, Vrije Universiteit Brussel7, University of Manchester8, University of Michigan9, National University of Cuyo10, Pierre-and-Marie-Curie University11, New York University12, University of Salento13, University of Crete14, Charles University in Prague15, University of Erlangen-Nuremberg16, University Hospital Heidelberg17, University of Pittsburgh18, University of Helsinki19, National Institutes of Health20, University of Bonn21, Providence Portland Medical Center22, National University of Singapore23, Ghent University24, University of Milan25, University of Graz26, University of Paris-Sud27, University College London28, Tuscia University29, McMaster University30, Technische Universität München31, Medical University of Vienna32, Karolinska Institutet33, University of Nice Sophia Antipolis34, University of Turin35, QIMR Berghofer Medical Research Institute36, Université de Montréal37, Dow University of Health Sciences38, French Institute of Health and Medical Research39, University of Colorado Denver40, University of Hawaii41, Stony Brook University42, Paris Descartes University43
TL;DR: Strategies conceived to detect surrogate markers of ICD in vitro and to screen large chemical libraries for putative I CD inducers are outlined, based on a high-content, high-throughput platform that was recently developed.
Abstract: Apoptotic cells have long been considered as intrinsically tolerogenic or unable to elicit immune responses specific for dead cell-associated antigens. However, multiple stimuli can trigger a functionally peculiar type of apoptotic demise that does not go unnoticed by the adaptive arm of the immune system, which we named "immunogenic cell death" (ICD). ICD is preceded or accompanied by the emission of a series of immunostimulatory damage-associated molecular patterns (DAMPs) in a precise spatiotemporal configuration. Several anticancer agents that have been successfully employed in the clinic for decades, including various chemotherapeutics and radiotherapy, can elicit ICD. Moreover, defects in the components that underlie the capacity of the immune system to perceive cell death as immunogenic negatively influence disease outcome among cancer patients treated with ICD inducers. Thus, ICD has profound clinical and therapeutic implications. Unfortunately, the gold-standard approach to detect ICD relies on vaccination experiments involving immunocompetent murine models and syngeneic cancer cells, an approach that is incompatible with large screening campaigns. Here, we outline strategies conceived to detect surrogate markers of ICD in vitro and to screen large chemical libraries for putative ICD inducers, based on a high-content, high-throughput platform that we recently developed. Such a platform allows for the detection of multiple DAMPs, like cell surface-exposed calreticulin, extracellular ATP and high mobility group box 1 (HMGB1), and/or the processes that underlie their emission, such as endoplasmic reticulum stress, autophagy and necrotic plasma membrane permeabilization. We surmise that this technology will facilitate the development of next-generation anticancer regimens, which kill malignant cells and simultaneously convert them into a cancer-specific therapeutic vaccine.
665 citations
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TL;DR: A new measure of homophobia, called the IHP, is presented, and the finding of a study designed to validate the new scale was found to have a reliability of .90 and good content and factorial validity.
Abstract: This paper attempts to refine and state more clearly an operational definition of homophobia. Homophobia is seen as but one dimension among many that collectively refer to the much larger domain of homonegativeism. The paper then presents a new measure of homophobia, called the IHP, and reports the finding of a study designed to validate the new scale. The IHP was found to have a reliability of .90 and good content and factorial validity.
661 citations
Authors
Showing all 18036 results
Name | H-index | Papers | Citations |
---|---|---|---|
Pulickel M. Ajayan | 176 | 1223 | 136241 |
James M. Tiedje | 150 | 688 | 102287 |
Peter Capak | 147 | 679 | 70483 |
Simon Prunet | 141 | 434 | 96314 |
H. J. McCracken | 140 | 579 | 71091 |
Jean-Paul Kneib | 138 | 805 | 89287 |
Robert H. Brown | 136 | 1174 | 79247 |
James A. Richardson | 136 | 363 | 75778 |
Lihong V. Wang | 136 | 1118 | 72482 |
Marvin L. Cohen | 134 | 979 | 87767 |
Lee Hartmann | 134 | 579 | 57649 |
Nick Scoville | 133 | 528 | 56418 |
William T. Reach | 131 | 535 | 90496 |
Jian Zhou | 128 | 3007 | 91402 |
Bin Wang | 126 | 2226 | 74364 |