scispace - formally typeset
Search or ask a question
Institution

University of Hawaii at Manoa

EducationHonolulu, 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
More filters
Journal ArticleDOI
Daniele S. M. Alves1, Nima Arkani-Hamed, S. Arora2, Yang Bai1, Matthew Baumgart3, Joshua Berger4, Matthew R. Buckley5, Bart Butler1, Spencer Chang6, Spencer Chang7, Hsin-Chia Cheng6, Clifford Cheung8, R. Sekhar Chivukula9, Won Sang Cho10, R. Cotta1, Mariarosaria D'Alfonso11, Sonia El Hedri1, Rouven Essig12, Jared A. Evans6, Liam Fitzpatrick13, Patrick J. Fox5, Roberto Franceschini14, Ayres Freitas15, James S. Gainer16, James S. Gainer17, Yuri Gershtein2, R. N.C. Gray2, Thomas Gregoire18, Ben Gripaios19, J.F. Gunion6, Tao Han20, Andy Haas1, P. Hansson1, JoAnne L. Hewett1, Dmitry Hits2, Jay Hubisz21, Eder Izaguirre1, Jared Kaplan1, Emanuel Katz13, Can Kilic2, Hyung Do Kim22, Ryuichiro Kitano23, Sue Ann Koay11, Pyungwon Ko24, David Krohn25, Eric Kuflik26, Ian M. Lewis20, Mariangela Lisanti27, Tao Liu11, Zhen Liu20, Ran Lu26, Markus A. Luty6, Patrick Meade12, David E. Morrissey28, Stephen Mrenna5, Mihoko M. Nojiri, Takemichi Okui29, Sanjay Padhi30, Michele Papucci31, Michael Park2, Myeonghun Park32, Maxim Perelstein4, Michael E. Peskin1, Daniel J. Phalen6, Keith Rehermann33, Vikram Rentala34, Vikram Rentala35, Tuhin S. Roy36, Joshua T. Ruderman27, Veronica Sanz37, Martin Schmaltz13, S. Schnetzer2, Philip Schuster38, Pedro Schwaller17, Pedro Schwaller39, Pedro Schwaller40, Matthew D. Schwartz25, Ariel Schwartzman1, Jing Shao21, J. Shelton41, David Shih2, Jing Shu10, Daniel Silverstein1, Elizabeth H. Simmons9, Sunil Somalwar2, Michael Spannowsky7, Christian Spethmann13, Matthew J. Strassler2, Shufang Su34, Shufang Su35, Tim M. P. Tait35, Brooks Thomas42, Scott Thomas2, Natalia Toro38, Tomer Volansky8, Jay G. Wacker1, Wolfgang Waltenberger43, Itay Yavin44, Felix Yu35, Yue Zhao2, Kathryn M. Zurek26 
TL;DR: A collection of simplified models relevant to the design of new-physics searches at the Large Hadron Collider (LHC) and the characterization of their results is presented in this paper.
Abstract: This document proposes a collection of simplified models relevant to the design of new-physics searches at the Large Hadron Collider (LHC) and the characterization of their results. Both ATLAS and CMS have already presented some results in terms of simplified models, and we encourage them to continue and expand this effort, which supplements both signature-based results and benchmark model interpretations. A simplified model is defined by an effective Lagrangian describing the interactions of a small number of new particles. Simplified models can equally well be described by a small number of masses and cross-sections. These parameters are directly related to collider physics observables, making simplified models a particularly effective framework for evaluating searches and a useful starting point for characterizing positive signals of new physics. This document serves as an official summary of the results from the 'Topologies for Early LHC Searches' workshop, held at SLAC in September of 2010, the purpose of which was to develop a set of representative models that can be used to cover all relevant phase space in experimental searches. Particular emphasis is placed on searches relevant for the first similar to 50-500 pb(-1) of data and those motivated by supersymmetric models. This note largely summarizes material posted at http://lhcnewphysics.org/, which includes simplified model definitions, Monte Carlo material, and supporting contacts within the theory community. We also comment on future developments that may be useful as more data is gathered and analyzed by the experiments.

491 citations

Journal ArticleDOI
TL;DR: A review of empirical studies of invasion is built on to formalize a unifying framework that decomposes niche change into unfilling, stability, and expansion situations, taking both a pooled range and range-specific perspective on the niche, while accounting for climatic availability and climatic analogy.
Abstract: Assessing whether the climatic niche of a species may change between different geographic areas or time periods has become increasingly important in the context of ongoing global change. However, approaches and findings have remained largely controversial so far, calling for a unification of methods. Here, we build on a review of empirical studies of invasion to formalize a unifying framework that decomposes niche change into unfilling, stability, and expansion situations, taking both a pooled range and range-specific perspective on the niche, while accounting for climatic availability and climatic analogy. This framework provides new insights into the nature of climate niche shifts and our ability to anticipate invasions, and may help in guiding the design of experiments for assessing causes of niche changes.

491 citations

Journal ArticleDOI
TL;DR: The rationale and need for MHBC research and interventions are presented, the research base is briefly reviewed, and core conceptual and methodological issues unique to this growing area are identified.

491 citations

Journal ArticleDOI
01 Dec 1993-Icarus
TL;DR: In this article, a systematic spectral analysis has been carried out on a large subset (39 of 144) of the S-type asteroid population, including a number of distinct compositional subtypes which exhibit surface silicate assemblages.

489 citations

Journal ArticleDOI
TL;DR: This work uses extreme value theory to combine sea-level projections with wave, tide, and storm surge models to estimate increases in coastal flooding on a continuous global scale and finds that regions with limited water-level variability, i.e., short-tailed flood-level distributions, located mainly in the Tropics, will experience the largest increases in flooding frequency.
Abstract: Global climate change drives sea-level rise, increasing the frequency of coastal flooding. In most coastal regions, the amount of sea-level rise occurring over years to decades is significantly smaller than normal ocean-level fluctuations caused by tides, waves, and storm surge. However, even gradual sea-level rise can rapidly increase the frequency and severity of coastal flooding. So far, global-scale estimates of increased coastal flooding due to sea-level rise have not considered elevated water levels due to waves, and thus underestimate the potential impact. Here we use extreme value theory to combine sea-level projections with wave, tide, and storm surge models to estimate increases in coastal flooding on a continuous global scale. We find that regions with limited water-level variability, i.e., short-tailed flood-level distributions, located mainly in the Tropics, will experience the largest increases in flooding frequency. The 10 to 20 cm of sea-level rise expected no later than 2050 will more than double the frequency of extreme water-level events in the Tropics, impairing the developing economies of equatorial coastal cities and the habitability of low-lying Pacific island nations.

489 citations


Authors

Showing all 13867 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Steven N. Blair165879132929
Qiang Zhang1611137100950
Jack M. Guralnik14845383701
Thomas J. Smith1401775113919
James A. Richardson13636375778
Donna Neuberg13581072653
Jian Zhou128300791402
Eric F. Bell12863172542
Jorge Luis Rodriguez12883473567
Bin Wang126222674364
Nicholas J. Schork12558762131
Matthew Jones125116196909
Anthony F. Jorm12479867120
Adam G. Riess118363117310
Network Information
Related Institutions (5)
University of Washington
305.5K papers, 17.7M citations

93% related

University of California, San Diego
204.5K papers, 12.3M citations

92% related

Johns Hopkins University
249.2K papers, 14M citations

91% related

Cornell University
235.5K papers, 12.2M citations

91% related

Columbia University
224K papers, 12.8M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022244
20211,111
20201,164
20191,151
20181,154