Institution
University of Hawaii at Manoa
Education•Honolulu, Hawaii, United States•
About: University of Hawaii at Manoa is a education organization based out in Honolulu, Hawaii, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13693 authors who have published 25161 publications receiving 1023924 citations.
Papers published on a yearly basis
Papers
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TL;DR: A Ka-band transceiver using low-power double-sideband transmission to detect human heartbeat and respiration signals is demonstrated, and the detection accuracy is significantly improved with low transmitted power.
Abstract: A Ka-band transceiver using low-power double-sideband transmission to detect human heartbeat and respiration signals is demonstrated. The Ka-band electromagnetic wave offers higher detection sensitivity on small movement due to its shorter wavelength. Indirect-conversion receiver architecture is chosen to reduce the dc offset and 1/f noise that can degrade the signal-to-noise ratio and detection accuracy. Furthermore, the double-sideband signals at the transmitter output can be in quadrature by choosing a proper frequency separation to relieve the severe null point problem that occurs at high frequency. As a result,the detection accuracy is significantly improved with low transmitted power. This radar sensor system achieves better than 80% detection accuracy at a distance of 2.0 m with a combined transmitted power of only 12.5 /spl mu/W in both sidebands.
279 citations
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University of Cambridge1, University of Melbourne2, Cancer Council Victoria3, University of Tampere4, University of Copenhagen5, German Cancer Research Center6, Imperial College London7, University of Oxford8, Karolinska Institutet9, Harvard University10, American Cancer Society11, University of Southern California12, National Institutes of Health13, Science Applications International Corporation14, New York University15, Cancer Research UK16, University of Bristol17, University of Washington18, Fred Hutchinson Cancer Research Center19, Aarhus University20, Hannover Medical School21, Washington University in St. Louis22, University of Tasmania23, Pomeranian Medical University24, QIMR Berghofer Medical Research Institute25, Queensland University of Technology26, Griffith University27, University of Queensland28, Mayo Clinic29, Stanford University30, Cancer Prevention Institute of California31, University of Ulm32, University of Michigan33, University of South Florida34, Veterans Health Administration35, University of Utah36, Akita University37, Second Military Medical University38, Queen Mary University of London39, Sofia Medical University40, University of Warwick41, Institute of Cancer Research42, National Health Service43, The Royal Marsden NHS Foundation Trust44, Copenhagen University Hospital45, National Institute for Health and Welfare46, University of Sheffield47, University of Hawaii at Manoa48
TL;DR: The results of stage 3 are reported, in which 1,536 SNPs are evaluated in 4,574 individuals with prostate cancer (cases) and 4,164 controls and a SNP in TERT more strongly associated with PrCa than that previously reported is identified.
Abstract: Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of stage 3, in which we evaluated 1,536 SNPs in 4,574 individuals with prostate cancer (cases) and 4,164 controls. We followed up ten new association signals through genotyping in 51,311 samples in 30 studies from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. In addition to replicating previously reported loci, we identified seven new prostate cancer susceptibility loci on chromosomes 2p11, 3q23, 3q26, 5p12, 6p21, 12q13 and Xq12 (P = 4.0 × 10(-8) to P = 2.7 × 10(-24)). We also identified a SNP in TERT more strongly associated with PrCa than that previously reported. More than 40 PrCa susceptibility loci, explaining ∼25% of the familial risk in this disease, have now been identified.
279 citations
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Queen's University Belfast1, Johns Hopkins University2, University of Hawaii at Manoa3, Las Cumbres Observatory Global Telescope Network4, Harvard University5, Durham University6, University of Turku7, Academia Sinica Institute of Astronomy and Astrophysics8, National Central University9, Princeton University10
TL;DR: In this paper, the authors report the most detailed photometric and spectral coverage of an ultra-bright transient (SN 2010gx) detected in the Pan-STARRS 1 sky survey.
Abstract: Recent searches by unbiased, wide-field surveys have uncovered a group of extremely luminous optical transients The initial discoveries of SN 2005ap by the Texas Supernova Search and SCP-06F6 in a deep Hubble pencil beam survey were followed by the Palomar Transient Factory confirmation of host redshifts for other similar transients The transients share the common properties of high optical luminosities (peak magnitudes ~-21 to -23), blue colors, and a lack of H or He spectral features The physical mechanism that produces the luminosity is uncertain, with suggestions ranging from jet-driven explosion to pulsational pair instability Here, we report the most detailed photometric and spectral coverage of an ultra-bright transient (SN 2010gx) detected in the Pan-STARRS 1 sky survey In common with other transients in this family, early-time spectra show a blue continuum and prominent broad absorption lines of O II However, about 25 days after discovery, the spectra developed type Ic supernova features, showing the characteristic broad Fe II and Si II absorption lines Detailed, post-maximum follow-up may show that all SN 2005ap and SCP-06F6 type transients are linked to supernovae Ic This poses problems in understanding the physics of the explosions: there is no indication from late-time photometry that the luminosity is powered by 56Ni, the broad light curves suggest very large ejected masses, and the slow spectral evolution is quite different from typical Ic timescales The nature of the progenitor stars and the origin of the luminosity are intriguing and open questions
279 citations
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TL;DR: RadVel as discussed by the authors is an open-source Python package for modeling Keplerian orbits in radial velocity (RV) timeseries, which allows users to float or fix parameters, impose priors, and perform Bayesian model comparison.
Abstract: RadVel is an open-source Python package for modeling Keplerian orbits in radial velocity (RV) timeseries. RadVel provides a convenient framework to fit RVs using maximum a posteriori optimization and to compute robust confidence intervals by sampling the posterior probability density via Markov Chain Monte Carlo (MCMC). RadVel allows users to float or fix parameters, impose priors, and perform Bayesian model comparison. We have implemented real-time MCMC convergence tests to ensure adequate sampling of the posterior. RadVel can output a number of publication-quality plots and tables. Users may interface with RadVel through a convenient command-line interface or directly from Python. The code is object-oriented and thus naturally extensible. We encourage contributions from the community. Documentation is available at http://radvel.readthedocs.io.
279 citations
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Virtual Planetary Laboratory1, University of Maryland, College Park2, California Institute of Technology3, University of Hawaii at Manoa4, Princeton University5, University of California, Santa Cruz6, ETH Zurich7, University of Washington8, Amherst College9, University of Colorado Boulder10, Principia College11, University of Arizona12
TL;DR: In this article, a pixel-level decorrelation (PLD) method was proposed to correct the intra-pixel effect for Warm Spitzer data, which can significantly reduce or eliminate red noise in Spitzer secondary eclipse photometry even for eclipses that have proven to be intractable using other methods.
Abstract: HAT-P-20b is a giant metal-rich exoplanet orbiting a metal-rich star. We analyze two secondary eclipses of the planet in each of the 3.6 and 4.5 μm bands of Warm Spitzer. We have developed a simple, powerful, and radically different method to correct the intra-pixel effect for Warm Spitzer data, which we call pixel-level decorrelation (PLD). PLD corrects the intra-pixel effect very effectively, but without explicitly using—or even measuring—the fluctuations in the apparent position of the stellar image. We illustrate and validate PLD using synthetic and real data and comparing the results to previous analyses. PLD can significantly reduce or eliminate red noise in Spitzer secondary eclipse photometry, even for eclipses that have proven to be intractable using other methods. Our successful PLD analysis of four HAT-P-20b eclipses shows a best-fit blackbody temperature of 1134 ± 29 K, indicating inefficient longitudinal transfer of heat, but lacking evidence for strong molecular absorption. We find sufficient evidence for variability in the 4.5 μm band that the eclipses should be monitored at that wavelength by Spitzer, and this planet should be a high priority for James Webb Space Telescope spectroscopy. All four eclipses occur about 35 minutes after orbital phase 0.5, indicating a slightly eccentric orbit. A joint fit of the eclipse and transit times with extant RV data yields e cos ω = 0.01352^(+0.00054)_(-0.00057) and establishes the small eccentricity of the orbit to high statistical confidence. HAT-P-20b is another excellent candidate for orbital evolution via Kozai migration or other three-body mechanisms.
279 citations
Authors
Showing all 13867 results
Name | H-index | Papers | Citations |
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Pulickel M. Ajayan | 176 | 1223 | 136241 |
Steven N. Blair | 165 | 879 | 132929 |
Qiang Zhang | 161 | 1137 | 100950 |
Jack M. Guralnik | 148 | 453 | 83701 |
Thomas J. Smith | 140 | 1775 | 113919 |
James A. Richardson | 136 | 363 | 75778 |
Donna Neuberg | 135 | 810 | 72653 |
Jian Zhou | 128 | 3007 | 91402 |
Eric F. Bell | 128 | 631 | 72542 |
Jorge Luis Rodriguez | 128 | 834 | 73567 |
Bin Wang | 126 | 2226 | 74364 |
Nicholas J. Schork | 125 | 587 | 62131 |
Matthew Jones | 125 | 1161 | 96909 |
Anthony F. Jorm | 124 | 798 | 67120 |
Adam G. Riess | 118 | 363 | 117310 |