Institution
Florida State University
Education•Tallahassee, Florida, United States•
About: Florida State University is a education organization based out in Tallahassee, Florida, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 25117 authors who have published 65361 publications receiving 2527087 citations. The organization is also known as: FSU & Florida State.
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Tohoku University1, University of Zurich2, Lawrence Berkeley National Laboratory3, Stanford University4, College of William & Mary5, University of Genoa6, University of Urbino7, CERN8, Budker Institute of Nuclear Physics9, University of California, Irvine10, Cornell University11, Argonne National Laboratory12, ETH Zurich13, Tata Institute of Fundamental Research14, Hillsdale College15, Spanish National Research Council16, Ohio State University17, University of Notre Dame18, Kent State University19, University of California, San Diego20, University of California, Berkeley21, University of Minnesota22, University of Alabama23, University of Helsinki24, Los Alamos National Laboratory25, California Institute of Technology26, George Washington University27, Syracuse University28, Lawrence Livermore National Laboratory29, Oklahoma State University–Stillwater30, University of Washington31, Max Planck Society32, Boston University33, University of California, Los Angeles34, Royal Holloway, University of London35, Université Paris-Saclay36, Fermilab37, University of Pennsylvania38, University of Illinois at Urbana–Champaign39, University of Bristol40, University of Tokyo41, University of Delaware42, Carnegie Mellon University43, University of California, Santa Cruz44, Karlsruhe Institute of Technology45, Heidelberg University46, Florida State University47, Carleton University48, University of Mainz49, University of Edinburgh50, Brookhaven National Laboratory51, Durham University52, University of Lausanne53, Massachusetts Institute of Technology54, University of Southampton55, Nagoya University56, University of Oxford57, Northwestern University58, University of British Columbia59, Columbia University60, Lund University61, University of Sheffield62, University of California, Santa Barbara63, Iowa State University64, University of Alberta65, University of Cambridge66
TL;DR: The Particle Data Group's biennial review as mentioned in this paper summarizes much of particle physics, using data from previous editions, plus 2658 new measurements from 644 papers, and lists, evaluates, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons.
Abstract: This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2658 new measurements from 644 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors, probability, and statistics. Among the 112 reviews are many that are new or heavily revised including those on Heavy-Quark and Soft-Collinear Effective Theory, Neutrino Cross Section Measurements, Monte Carlo Event Generators, Lattice QCD, Heavy Quarkonium Spectroscopy, Top Quark, Dark Matter, V-cb & V-ub, Quantum Chromodynamics, High-Energy Collider Parameters, Astrophysical Constants, Cosmological Parameters, and Dark Matter. A booklet is available containing the Summary Tables and abbreviated versions of some of the other sections of this full Review. All tables, listings, and reviews (and errata) are also available on the Particle Data Group website: http://pdg.lbl.gov.
4,465 citations
University of Texas at Austin1, University of California, Davis2, University of Montpellier3, Florida State University4, University of Chicago5, Washington University in St. Louis6, University of California, Berkeley7, University of Florida8, University of British Columbia9, University of York10, PSL Research University11, McGill University12
TL;DR: This framework is used to discuss why the metacommunity concept is useful in modifying existing ecological thinking and illustrate this with a number of both theoretical and empirical examples.
Abstract: The metacommunity concept is an important way to think about linkages between different spatial scales in ecology. Here we review current understanding about this concept. We first investigate issues related to its definition as a set of local communities that are linked by dispersal of multiple potentially interacting species. We then identify four paradigms for metacommunities: the patch-dynamic view, the species-sorting view, the mass effects view and the neutral view, that each emphasizes different processes of potential importance in metacommunities. These have somewhat distinct intellectual histories and we discuss elements related to their potential future synthesis. We then use this framework to discuss why the concept is useful in modifying existing ecological thinking and illustrate this with a number of both theoretical and empirical examples. As ecologists strive to understand increasingly complex mechanisms and strive to work across multiple scales of spatio-temporal organization, concepts like the metacommunity can provide important insights that frequently contrast with those that would be obtained with more conventional approaches based on local communities alone.
4,266 citations
TL;DR: The major source of cloud-condensation nuclei (CCN) over the oceans appears to be dimethylsulphide, which is produced by planktonic algae in sea water and oxidizes in the atmosphere to form a sulphate aerosol as mentioned in this paper.
Abstract: The major source of cloud-condensation nuclei (CCN) over the oceans appears to be dimethylsulphide, which is produced by planktonic algae in sea water and oxidizes in the atmosphere to form a sulphate aerosol Because the reflectance (albedo) of clouds (and thus the Earth's radiation budget) is sensitive to CCN density, biological regulation of the climate is possible through the effects of temperature and sunlight on phytoplankton population and dimethylsulphide production. To counteract the warming due to doubling of atmospheric CO2, an approximate doubling of CCN would be needed.
3,783 citations
Book•
01 Jan 1974TL;DR: This chapter discusses Instructional Design, which focuses on the design of Instructional Systems, and Varieties of Learning, which examines the combination of Information, Motor Skills, and Attitudes that make up a learning environment.
Abstract: PART I: INTRODUCTION TO INSTRUCTIONAL SYSTEMS. 1. Introduction to Instructional Design. 2. Designing Instructional Systems. 3. The Outcomes of Instruction. 4. Varieties of Learning: Intellectual Skills and Strategies. 5. Varieties of Learning: Information, Motor Skills, and Attitudes. 6. The Learner. PART II: BASIC PROCESSES IN LEARNING AND INSTRUCTION. 7. Defining Performance Objectives. 8. Analysis of a Learning Task. 9. Designing Instructional Sequences. 10. The Events of Instruction. 11. Technology Affordances. 12. Designing the Individual Lesson. 13. Assessing Student Performance. 14. Group Learning Environments. 15. Online Learning. 16. Evaluating Instruction.
3,706 citations
TL;DR: The examination of Windows technology in a single organization indicates that users and potential adopters of information technology differ on their determinants of behavioral intention, attitude, and subjective norm.
Abstract: The process of information technology adoption and use is critical to deriving the benefits of information technology. Yet from a conceptual standpoint, few empirical studies have made a distinction between individuals' pre-adoption and post-adoption (continued use) beliefs and attitudes. This distinction is crucial in understanding and managing this process over time. The current study combines innovation diffusion and attitude theories in a theoretical framework to examine differences in pre-adoption and post-adoption beliefs and attitudes. The examination of Windows technology in a single organization indicates that users and potential adopters of information technology differ on their determinants of behavioral intention, attitude, and subjective norm. Potential adopter intention to adopt is solely determined by normative pressures, whereas user intention is solely determined by attitude. In addition, potential adopters base their attitude on a richer set of innovation characteristics than users. Whereas pre-adoption attitude is based on perceptions of usefulness, ease-of-use, result demonstrability, visibility, and trialability, post-adoption attitude is only based on instrumentality beliefs of usefulness and perceptions of image enhancements.
3,629 citations
Authors
Showing all 25436 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Michael A. Strauss | 185 | 1688 | 208506 |
| Jie Zhang | 178 | 4857 | 221720 |
| Guenakh Mitselmakher | 165 | 1951 | 164435 |
| Darien Wood | 160 | 2174 | 136596 |
| Roy F. Baumeister | 157 | 650 | 132987 |
| Todd Adams | 154 | 1866 | 143110 |
| Robert J. Sternberg | 149 | 1066 | 89193 |
| Alexander Belyaev | 142 | 1895 | 100796 |
| Mingshui Chen | 141 | 1543 | 125369 |
| German Martinez | 141 | 1476 | 107887 |
| Andrew Askew | 140 | 1496 | 99635 |
| Yuri Gershtein | 139 | 1558 | 104279 |
| Mitchell Wayne | 139 | 1810 | 108776 |
| Andrey Korytov | 139 | 1730 | 101703 |
| Jacobo Konigsberg | 139 | 1850 | 104261 |