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Institution

University of Vermont

EducationBurlington, Vermont, United States
About: University of Vermont is a education organization based out in Burlington, Vermont, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 17592 authors who have published 38251 publications receiving 1609874 citations. The organization is also known as: UVM & University of Vermont and State Agricultural College.


Papers
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Journal ArticleDOI
TL;DR: This synthesis reveals that pollinator persistence will depend on both the maintenance of high-quality habitats around farms and on local management practices that may offset impacts of intensive monoculture agriculture.
Abstract: Bees provide essential pollination services that are potentially affected both by local farm management and the surrounding landscape. To better understand these different factors, we modelled the relative effects of landscape composition (nesting and floral resources within foraging distances), landscape configuration (patch shape, interpatch connectivity and habitat aggregation) and farm management (organic vs. conventional and local-scale field diversity), and their interactions, on wild bee abundance and richness for 39 crop systems globally. Bee abundance and richness were higher in diversified and organic fields and in landscapes comprising more high-quality habitats; bee richness on conventional fields with low diversity benefited most from high-quality surrounding land cover. Landscape configuration effects were weak. Bee responses varied slightly by biome. Our synthesis reveals that pollinator persistence will depend on both the maintenance of high-quality habitats around farms and on local management practices that may offset impacts of intensive monoculture agriculture.

904 citations

Journal ArticleDOI
TL;DR: The state factor approach is used to highlight the role of important aspects of climate, substrate, organisms, relief, and time in differentiating urban from non-urban areas, and for determining heterogeneity within spatially extensive metropolitan areas.

903 citations

Journal ArticleDOI
TL;DR: By measuring discounting at an unprecedented range of real rewards, this study has systematically replicated the robust finding in human delay discounting research that discount rates decrease with increasing magnitude of reward.
Abstract: A within-subject design, using human participants, compared delay discounting functions for real and hypothetical money rewards. Both real and hypothetical rewards were studied across a range that included $10 to $250. For 5 of the 6 participants, no systematic difference in discount rate was observed in response to real and hypothetical choices, suggesting that hypothetical rewards may often serve as a valid proxy for real rewards in delay discounting research. By measuring discounting at an unprecedented range of real rewards, this study has also systematically replicated the robust finding in human delay discounting research that discount rates decrease with increasing magnitude of reward. A hyperbolic decay model described the data better than an exponential model.

900 citations

Journal ArticleDOI
TL;DR: Findings reveal that myosin genes not only encode the major contractile proteins of muscle, but act more broadly to influence muscle function by encoding a network of intronic miRNAs that control muscle gene expression and performance.

899 citations

Journal ArticleDOI
TL;DR: Two subphenotypes are identified within acute respiratory distress syndrome, one of which is categorised by more severe inflammation, shock, and metabolic acidosis and by worse clinical outcomes and response to treatment in a randomised trial of PEEP strategies differed on the basis of subphenotype.

895 citations


Authors

Showing all 17727 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Ralph B. D'Agostino2261287229636
George Davey Smith2242540248373
Stephen V. Faraone1881427140298
Valentin Fuster1791462185164
Dennis J. Selkoe177607145825
Anders Björklund16576984268
Alfred L. Goldberg15647488296
Christopher P. Cannon1511118108906
Debbie A Lawlor1471114101123
Roger J. Davis147498103478
Andrew S. Levey144600156845
Jonathan G. Seidman13756389782
Yu Huang136149289209
Christine E. Seidman13451967895
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202359
2022177
20211,840
20201,762
20191,653
20181,569