Institution
Michigan State University
Education•East Lansing, Michigan, United States•
About: Michigan State University is a education organization based out in East Lansing, Michigan, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 60109 authors who have published 137074 publications receiving 5633022 citations. The organization is also known as: MSU & Michigan State.
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Christopher P. Ahn1, Rachael Alexandroff2, Carlos Allende Prieto3, Scott F. Anderson4 +256 more•Institutions (65)
TL;DR: In this paper, the authors presented the first spectroscopic data from the Baryon Oscillation Spectroscopic Survey (BOSS) for the Sloan Digital Sky Survey III (SDSS-III) dataset.
Abstract: The Sloan Digital Sky Survey III (SDSS-III) presents the first spectroscopic data from the Baryon Oscillation Spectroscopic Survey (BOSS). This ninth data release (DR9) of the SDSS project includes 535,995 new galaxy spectra (median z ~ 0.52), 102,100 new quasar spectra (median z ~ 2.32), and 90,897 new stellar spectra, along with the data presented in previous data releases. These spectra were obtained with the new BOSS spectrograph and were taken between 2009 December and 2011 July. In addition, the stellar parameters pipeline, which determines radial velocities, surface temperatures, surface gravities, and metallicities of stars, has been updated and refined with improvements in temperature estimates for stars with T eff -0.5. DR9 includes new stellar parameters for all stars presented in DR8, including stars from SDSS-I and II, as well as those observed as part of the SEGUE-2. The astrometry error introduced in the DR8 imaging catalogs has been corrected in the DR9 data products. The next data release for SDSS-III will be in Summer 2013, which will present the first data from the APOGEE along with another year of data from BOSS, followed by the final SDSS-III data release in 2014 December.
1,623 citations
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Dalhousie University1, University of Georgia2, Bigelow Laboratory For Ocean Sciences3, Ontario Veterinary College4, New York State Department of Health5, Blaise Pascal University6, Bedford Institute of Oceanography7, University of Louisiana at Lafayette8, Duke University9, Pedagogical University10, Colorado State University11, University of Toronto12, University of Connecticut13, United States Forest Service14, University of Guelph15, Royal Botanic Garden Edinburgh16, Academy of Natural Sciences of Drexel University17, Michigan State University18, University of Copenhagen19, George Mason University20, University of Illinois at Urbana–Champaign21, Saint Petersburg State University22, University of Arkansas23, University of British Columbia24
TL;DR: This revision of the classification of unicellular eukaryotes updates that of Levine et al. (1980) for the protozoa and expands it to include other protists, and proposes a scheme that is based on nameless ranked systematics.
Abstract: This revision of the classification of unicellular eukaryotes updates that of Levine et al. (1980) for the protozoa and expands it to include other protists. Whereas the previous revision was primarily to incorporate the results of ultrastructural studies, this revision incorporates results from both ultrastructural research since 1980 and molecular phylogenetic studies. We propose a scheme that is based on nameless ranked systematics. The vocabulary of the taxonomy is updated, particularly to clarify the naming of groups that have been repositioned. We recognize six clusters of eukaryotes that may represent the basic groupings similar to traditional ''kingdoms.'' The multicellular lineages emerged from within monophyletic protist lineages: animals and fungi from Opisthokonta, plants from Archaeplastida, and brown algae from Stramenopiles.
1,620 citations
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TL;DR: In this paper, a simple approach to handling the initial conditions problem in dynamic, nonlinear unobserved effects models is proposed, where instead of attempting to obtain the joint distribution of all outcomes of the endogenous variables, instead, the distribution is conditional on the initial value (and the observed history of strictly exogenous explanatory variables).
Abstract: I study a simple, widely applicable approach to handling the initial conditions problem in dynamic, nonlinear unobserved effects models. Rather than attempting to obtain the joint distribution of all outcomes of the endogenous variables, I propose finding the distribution conditional on the initial value (and the observed history of strictly exogenous explanatory variables). The approach is flexible, and results in simple estimation strategies for at least three leading dynamic, nonlinear models: probit, Tobit and Poisson regression. I treat the general problem of estimating average partial effects, and show that simple estimators exist for important special cases. Copyright © 2005 John Wiley & Sons, Ltd.
1,613 citations
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TL;DR: In this paper, the authors enhance the theoretical precision of cultural intelligence (CQ: capability to function effectively in culturally diverse settings) by developing and testing a model that posits differential relationships between the four CQ dimensions (metacognitive, cognitive, motivational and behavioural) and three intercultural effectiveness outcomes (cultural judgment and decision making, cultural adaptation and task performance).
Abstract: We enhance the theoretical precision of cultural intelligence (CQ: capability to function effectively in culturally diverse settings) by developing and testing a model that posits differential relationships between the four CQ dimensions (metacognitive, cognitive, motivational and behavioural) and three intercultural effectiveness outcomes (cultural judgment and decision making, cultural adaptation and task performance in culturally diverse settings). Before testing the model, we describe development and cross-validation (N = 1,360) of the multidimensional cultural intelligence scale (CQS) across samples, time and country. We then describe three substantive studies (N = 794) in field and educational development settings across two national contexts, the USA and Singapore. The results demonstrate a consistent pattern of relationships where metacognitive CQ and cognitive CQ predicted cultural judgment and decision making; motivational CQ and behavioural CQ predicted cultural adaptation; and metacognitive CQ and behavioural CQ predicted task performance. We discuss theoretical and practical implications of our model and findings.
1,611 citations
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TL;DR: This paper addresses the problem of information fusion in biometric verification systems by combining information at the matching score level by combining three biometric modalities (face, fingerprint and hand geometry).
1,611 citations
Authors
Showing all 60636 results
Name | H-index | Papers | Citations |
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David Miller | 203 | 2573 | 204840 |
Anil K. Jain | 183 | 1016 | 192151 |
D. M. Strom | 176 | 3167 | 194314 |
Feng Zhang | 172 | 1278 | 181865 |
Derek R. Lovley | 168 | 582 | 95315 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Donald E. Ingber | 164 | 610 | 100682 |
J. E. Brau | 162 | 1949 | 157675 |
Murray F. Brennan | 161 | 925 | 97087 |
Peter B. Reich | 159 | 790 | 110377 |
Wei Li | 158 | 1855 | 124748 |
Timothy C. Beers | 156 | 934 | 102581 |
Claude Bouchard | 153 | 1076 | 115307 |
Mercouri G. Kanatzidis | 152 | 1854 | 113022 |
James J. Collins | 151 | 669 | 89476 |