Institution
University of Florida
Education•Gainesville, Florida, United States•
About: University of Florida is a education organization based out in Gainesville, Florida, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 90112 authors who have published 200011 publications receiving 7130576 citations. The organization is also known as: UF & University of the State of Florida.
Topics: Population, Poison control, Medicine, Gene, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: The coupled cluster singles and doubles model (CCSD) as discussed by the authors is derived algebraically, presenting the full set of equations for a general reference function explicitly in spin-orbital form, and the computational implementation of the CCSD model, which involves cubic and quartic terms, is discussed and results are compared with full CI calculations for H2O and BeH2.
Abstract: The coupled‐cluster singles and doubles model (CCSD) is derived algebraically, presenting the full set of equations for a general reference function explicitly in spin–orbital form. The computational implementation of the CCSD model, which involves cubic and quartic terms, is discussed and results are reported and compared with full CI calculations for H2O and BeH2. We demonstrate that the CCSD exponential ansatz sums higher‐order correlation effects efficiently even for BeH2, near its transition state geometry where quasidegeneracy efforts are quite large, recovering 98% of the full CI correlation energy. For H2O, CCSD plus the fourth‐order triple excitation correction agrees with the full CI energy to 0.5 kcal/mol. Comparisons with low‐order models provide estimates of the effect of the higher‐order terms T1T2, T21T2, T31, and T41 on the correlation energy.
5,603 citations
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Alexander A. Aarts, Joanna E. Anderson1, Christopher J. Anderson2, Peter Raymond Attridge3 +287 more•Institutions (116)
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
Abstract: Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
5,532 citations
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TL;DR: In this article, the authors present the correct way to estimate the magnitude and standard errors of the interaction effect in nonlinear models, which is the same way as in this paper.
5,500 citations
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TL;DR: This article reviewed the book "A Theory of Goal Setting and Task Performance" by Edwin A. Locke and Gary P. Latham and found it to be a good introduction to goal setting and task performance.
Abstract: The article reviews the book “A Theory of Goal Setting and Task Performance,” by Edwin A. Locke and Gary P. Latham.
5,435 citations
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University of California, San Diego1, Smithsonian Tropical Research Institute2, State Street Corporation3, University of Florida4, University of California, Davis5, Bates College6, Australian National University7, University of Oregon8, University of California, Santa Cruz9, James Cook University10, University of Chicago11, University of North Carolina at Chapel Hill12, National Museum of Natural History13, University of Maine14, University of California, Santa Barbara15
TL;DR: Paleoecological, archaeological, and historical data show that time lags of decades to centuries occurred between the onset of overfishing and consequent changes in ecological communities, because unfished species of similar trophic level assumed the ecological roles of over-fished species until they too were overfished or died of epidemic diseases related to overcrowding as mentioned in this paper.
Abstract: Ecological extinction caused by overfishing precedes all other pervasive human disturbance to coastal ecosystems, including pollution, degradation of water quality, and anthropogenic climate change. Historical abundances of large consumer species were fantastically large in comparison with recent observations. Paleoecological, archaeological, and historical data show that time lags of decades to centuries occurred between the onset of overfishing and consequent changes in ecological communities, because unfished species of similar trophic level assumed the ecological roles of overfished species until they too were overfished or died of epidemic diseases related to overcrowding. Retrospective data not only help to clarify underlying causes and rates of ecological change, but they also demonstrate achievable goals for restoration and management of coastal ecosystems that could not even be contemplated based on the limited perspective of recent observations alone.
5,411 citations
Authors
Showing all 90810 results
Name | H-index | Papers | Citations |
---|---|---|---|
Fred H. Gage | 216 | 967 | 185732 |
David Miller | 203 | 2573 | 204840 |
Rob Knight | 201 | 1061 | 253207 |
Hongjie Dai | 197 | 570 | 182579 |
Ronald Klein | 194 | 1305 | 149140 |
Dennis W. Dickson | 191 | 1243 | 148488 |
Jing Wang | 184 | 4046 | 202769 |
David A. Weitz | 178 | 1038 | 114182 |
Kenneth S. Kendler | 177 | 1327 | 142251 |
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Feng Zhang | 172 | 1278 | 181865 |
J. N. Butler | 172 | 2525 | 175561 |
Yang Gao | 168 | 2047 | 146301 |
Guenakh Mitselmakher | 165 | 1951 | 164435 |
Yang Yang | 164 | 2704 | 144071 |