Institution
San Diego State University
Education•San Diego, California, United States•
About: San Diego State University is a education organization based out in San Diego, California, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 12418 authors who have published 27950 publications receiving 1192375 citations. The organization is also known as: SDSU & San Diego State College.
Topics: Population, Poison control, Health care, Mental health, Public health
Papers published on a yearly basis
Papers
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TL;DR: A new multispecies and dynamic approach that uses daily satellite data to track ocean features and aligns scales of management, species movement, and fisheries is introduced, finding that dynamic closures could be 2 to 10 times smaller than existing static closures while still providing adequate protection of endangered nontarget species.
Abstract: Seafood is an essential source of protein for more than 3 billion people worldwide, yet bycatch of threatened species in capture fisheries remains a major impediment to fisheries sustainability. Management measures designed to reduce bycatch often result in significant economic losses and even fisheries closures. Static spatial management approaches can also be rendered ineffective by environmental variability and climate change, as productive habitats shift and introduce new interactions between human activities and protected species. We introduce a new multispecies and dynamic approach that uses daily satellite data to track ocean features and aligns scales of management, species movement, and fisheries. To accomplish this, we create species distribution models for one target species and three bycatch-sensitive species using both satellite telemetry and fisheries observer data. We then integrate species-specific probabilities of occurrence into a single predictive surface, weighing the contribution of each species by management concern. We find that dynamic closures could be 2 to 10 times smaller than existing static closures while still providing adequate protection of endangered nontarget species. Our results highlight the opportunity to implement near real-time management strategies that would both support economically viable fisheries and meet mandated conservation objectives in the face of changing ocean conditions. With recent advances in eco-informatics, dynamic management provides a new climate-ready approach to support sustainable fisheries.
237 citations
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TL;DR: In this paper, the authors present results from a campaign to obtain deep, nebular-phase spectroscopy of nearby Type Ia supernovae, and include multiepoch observations of two events: SN 2005am (slightly subluminous) and SN 2005cf (normally bright).
Abstract: Despite intense scrutiny, the progenitor system(s) that gives rise to Type Ia supernovae remains unknown. The favored theory invokes a carbon-oxygen white dwarf accreting hydrogen-rich material from a close companion until a thermonuclear runaway ensues that incinerates the white dwarf. However, simulations resulting from this single-degenerate, binary channel demand the presence of low-velocity Hα emission in spectra taken during the late nebular phase, since a portion of the companion's envelope becomes entrained in the ejecta. This hydrogen has never been detected, but has only rarely been sought. Here we present results from a campaign to obtain deep, nebular-phase spectroscopy of nearby Type Ia supernovae, and include multiepoch observations of two events: SN 2005am (slightly subluminous) and SN 2005cf (normally bright). No Hα emission is detected in the spectra of either object. An upper limit of 0.01 M☉ of solar abundance material in the ejecta is established from the models of Mattila et al., which, when coupled with the mass-stripping simulations of Marietta et al. and Meng et al., effectively rules out progenitor systems for these supernovae with secondaries close enough to the white dwarf to be experiencing Roche lobe overflow at the time of explosion. Alternative explanations for the absence of Hα emission, along with suggestions for future investigations necessary to confidently exclude them as possibilities, are critically evaluated.
236 citations
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TL;DR: This paper examined the contribution of specific types of family violence exposure (e.g., victim vs. witness; physical vs. psychological) to aggressive and anxious/depressed problem behaviors in young (6-year-old) at-risk children.
Abstract: This study examines the contribution of specific types of family violence exposure (e.g., victim vs. witness; physical vs. psychological) to aggressive and anxious/depressed problem behaviors in young (i.e., 6-year-old) at-risk children. This multisite prospective study of 682 children from four different regions of the country asked mothers and their 6-year-old children to report on violence exposure in their families. After controlling for mother reports of child problem behaviors on the Child Behavior Checklist at Age 4, it was found that subsequent exposure to family violence predicted reported problem behaviors at Age 6. Although mothers' report of child victimization predicted subsequent problem behaviors, witnessed violence was related to these problems only when both mothers and children reported its occurrence. The results of this study suggest that even though there was a relationship between witnessed and directly experienced family violence, both had independent, noninteractive effects on subsequent behavior problems.
236 citations
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Ohio State University1, University of California, Irvine2, Georgia State University3, Southwestern University4, Western Kentucky University5, Space Telescope Science Institute6, University of Leicester7, University of St Andrews8, Brigham Young University9, Technion – Israel Institute of Technology10, Korea Astronomy and Space Science Institute11, San Diego State University12, Tel Aviv University13, Max Planck Society14, University of Arizona15, University of California, Berkeley16, Carnegie Mellon University17, Valparaiso University18, Pennsylvania State University19, University College London20, University of Auckland21, Wayne State University22, Worcester State University23, University of Maryland, College Park24, Goddard Space Flight Center25, California Institute of Technology26, Morehead State University27, York University28, Seoul National University29, University of Copenhagen30, Leiden University31, University of California, Santa Barbara32, Western Michigan University33, Johns Hopkins University34, University of Chile35, University of Southampton36, University of Insubria37, Harvard University38, Foundation for Research & Technology – Hellas39, University of Haifa40, Universidade Federal do Rio Grande do Sul41, University of California, Los Angeles42, University of Amsterdam43, University of Bath44, University of Missouri–Kansas City45
TL;DR: In this paper, the authors used data obtained with the MODS spectrographs with funding from National Science Foundation (NSF) and the NSF Telescope System Instrumentation (TSIP), with additional funds from the OhioBoard of Regents and the Ohio State University Office of Research.
Abstract: The LBT is an international collaboration among institutions
in the United States, Italy and Germany. LBT Corporation
partners are: The Ohio State University, and The Research
Corporation, on behalf of The University of Notre Dame, University
of Minnesota and University of Virginia; The University
of Arizona on behalf of the Arizona university system;
Istituto Nazionale di Astrofisica, Italy; LBT Beteiligungsgesellschaft,
Germany, representing the Max-Planck Society, the
Astrophysical Institute Potsdam, and Heidelberg University.
This paper used data obtained with the MODS spectrographs
built with funding from National Science Foundation (NSF)
grant AST-9987045 and the NSF Telescope System Instrumentation
Program (TSIP), with additional funds from the Ohio
Board of Regents and the Ohio State University Office of Research.
This paper made use of the modsIDL spectral data
reduction pipeline developed in part with funds provided by
NSF Grant AST - 1108693.
The Liverpool Telescope is operated on the island of La
Palma by Liverpool John Moores University in the Spanish
Observatorio del Roque de los Muchachos of the Instituto de
Astrofisica de Canarias with financial support from the UK
Science and Technology Facilities Council.
KAIT and its ongoing operation were made possible by donations
from Sun Microsystems, Inc., the Hewlett-Packard
Company, AutoScope Corporation, Lick Observatory, the
NSF, the University of California, the Sylvia and Jim Katzman
Foundation, and the TABASGO Foundation. Research at
Lick Observatory is partially supported by a generous gift from
Google.
Support for HST program number GO-13330 was provided
by NASA through a grant from the Space Telescope Science
Institute, which is operated by the Association of Universities
for Research in Astronomy, Inc., under NASA contract
NAS5-26555. M.M.F., G.D.R., B.M.P., C.J.G., and R.W.P.
are grateful for the support of the NSF through grant AST-
1008882 to The Ohio State University. A.J.B. and L.P. have
been supported by NSF grant AST-1412693. A.V.F. and W.-
K.Z. are grateful for financial assistance from NSF grant AST-
1211916, the TABASGO Foundation, and the Christopher R.
Redlich Fund. M.C. Bentz gratefully acknowledges support
through NSF CAREER grant AST-1253702 to Georgia State
University. M.C. Bottorff acknowledges HHMI for support
through an undergraduate science education grant to Southwestern
University. K.D.D. is supported by an NSF Fellowship
awarded under grant AST-1302093. R.E. gratefully acknowledges
support from NASA under awards NNX13AC26G,
NNX13AC63G, and NNX13AE99G. J.M.G. gratefully acknowledges
support from NASA under award NNH13CH61C.
P.B.H. is supported by NSERC. M.I. acknowledges support
from the Creative Initiative program, No. 2008-0060544, of
the National Research Foundation of Korea (NRFK) funded
by the Korean government (MSIP). M.D.J. acknowledges NSF
grant AST-0618209 used for obtaining the 0.91 m telescope at
WMO. SRON is financially supported by NWO, the Netherlands
Organization for Scientific Research. B.C.K. is partially
supported by the UC Center for Galaxy Evolution. C.S.K. acknowledges
the support of NSF grant AST-1009756. D.C.L.
acknowledges support from NSF grants AST-1009571 and
AST-1210311, under which part of this research (photometric
observations collected at MLO) was carried out. We thank
Nhieu Duong, Harish Khandrika, Richard Mellinger, J. Chuck
Horst, Steven Armen, and Eddie Garcia for assistance with the
MLO observations. P.L. acknowledges support from Fondecyt
grant #1120328. A.P. acknowledges support from a NSF graduate
fellowship, a UCSB Dean’s Fellowship, and a NASA Einstein
Fellowship. J.S.S. acknowledges CNPq, National Council
for Scientific and Technological Development (Brazil) for
partial support and The Ohio State University for warm hospitality.
T.T. has been supported by NSF grant AST-1412315.
T.T. and B.C.K. acknowledge support from the Packard Foundation
in the form of a Packard Research Fellowship to T.T.;
also, T.T. thanks the American Academy in Rome and the Observatory
of Monteporzio Catone for kind hospitality. The
Dark Cosmology Centre is funded by the Danish National
Research Foundation. M.V. gratefully acknowledges support
from the Danish Council for Independent Research via grant
no. DFF–4002-00275. J.-H.W. acknowledges support by the
National Research Foundation of Korea (NRF) grant funded
by the Korean government (No. 2010-0027910). E.D.B. is
supported by Padua University through grants 60A02-5857/13,
60A02-5833/14, 60A02-4434/15, and CPDA133894. K.H. acknowledges
support from STFC grant ST/M001296/1. S.A.K.
thanks Dr. I. A. Rakhimov, the Director of Svetloe Observatory,
for his support and hospitality.
This research has made use of the NASA/IPAC Extragalactic
Database (NED), which is operated by the Jet Propulsion
Laboratory, California Institute of Technology, under contract
with NASA.
236 citations
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TL;DR: This article used data derived from a community survey of women of Mexican descent in San Diego County in order to identify characteristics of immigrant social networks, and determine how these characteristics are related to emotional support and personal distress.
Abstract: This empirical study uses data derived from a community survey of women of Mexican descent in San Diego County in order to identify characteristics of immigrant social networks, and determine how these characteristics are related to emotional support and personal distress. Correlational and chi-square analyses were used to manipulate aggregate data. Major findings are that social networks, including both friends and family, are available from the early stages of immigration. Interaction patterns indicate that friendship contacts are stable over time, and that family contacts increase with time. The most important source of emotional support is among relatives of the family of origin. In contrast, adult children living in independent households, despite high contact levels with mothers, were not found to be a source of emotional support. Higher levels of contact with friends are related to increased emotional support from those friends, but friend contact is not as salient as family contact for emotional s...
235 citations
Authors
Showing all 12533 results
Name | H-index | Papers | Citations |
---|---|---|---|
David R. Williams | 178 | 2034 | 138789 |
James F. Sallis | 169 | 825 | 144836 |
Steven Williams | 144 | 1375 | 86712 |
Larry R. Squire | 143 | 472 | 85306 |
Murray B. Stein | 128 | 745 | 89513 |
Robert Edwards | 121 | 775 | 74552 |
Roberto Kolter | 120 | 315 | 52942 |
Jack E. Dixon | 115 | 408 | 47201 |
Sonia Ancoli-Israel | 115 | 520 | 46045 |
John D. Lambris | 114 | 651 | 48203 |
Igor Grant | 113 | 791 | 55147 |
Kenneth H. Nealson | 108 | 483 | 51100 |
Mark Westoby | 108 | 316 | 59095 |
Eric Courchesne | 107 | 240 | 41200 |
Marc A. Schuckit | 106 | 643 | 43484 |