Institution
University of Vermont
Education•Burlington, 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.
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TL;DR: An integrated ES modeling methodology, named ARIES (ARtificial Intelligence for Ecosystem Services), which adopts a uniform conceptualization of ES that gives equal emphasis to their production, flow and use by society, while keeping model complexity low enough to enable rapid and inexpensive assessment in many contexts and for multiple services.
Abstract: Ecosystem Services (ES) are an established conceptual framework for attributing value to the benefits that nature provides to humans. As the promise of robust ES-driven management is put to the test, shortcomings in our ability to accurately measure, map, and value ES have surfaced. On the research side, mainstream methods for ES assessment still fall short of addressing the complex, multi-scale biophysical and socioeconomic dynamics inherent in ES provision, flow, and use. On the practitioner side, application of methods remains onerous due to data and model parameterization requirements. Further, it is increasingly clear that the dominant “one model fits all” paradigm is often ill-suited to address the diversity of real-world management situations that exist across the broad spectrum of coupled human-natural systems. This article introduces an integrated ES modeling methodology, named ARIES (ARtificial Intelligence for Ecosystem Services), which aims to introduce improvements on these fronts. To improve conceptual detail and representation of ES dynamics, it adopts a uniform conceptualization of ES that gives equal emphasis to their production, flow and use by society, while keeping model complexity low enough to enable rapid and inexpensive assessment in many contexts and for multiple services. To improve fit to diverse application contexts, the methodology is assisted by model integration technologies that allow assembly of customized models from a growing model base. By using computer learning and reasoning, model structure may be specialized for each application context without requiring costly expertise. In this article we discuss the founding principles of ARIES - both its innovative aspects for ES science and as an example of a new strategy to support more accurate decision making in diverse application contexts.
347 citations
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TL;DR: The affective consequences of response inhibition during a state of anxiety-related physical stress and the significance of emotional avoidance processes during physical stress are examined, with implications for better understanding the nature of panic disorder.
347 citations
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National Institutes of Health1, Johns Hopkins University2, University of Vermont3, Erasmus University Rotterdam4, Wellcome Trust Sanger Institute5, King's College London6, Boston University7, University of Washington8, University of Iceland9, University of Greifswald10, Geneva College11, University of Cambridge12, University of Texas Health Science Center at Houston13, Cedars-Sinai Medical Center14, Leiden University15, Leiden University Medical Center16, Harvard University17
TL;DR: This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in ery throatcyte measures, and identifies 23 loci significantly associated with these traits.
Abstract: Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.
346 citations
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TL;DR: Research on the relations between specific stressors and specific psychological outcomes among children and adolescents and the lack of theory-driven specificity research is reviewed, and directions for future research are identified.
Abstract: Research on the relations between specific stressors and specific psychological outcomes among children and adolescents is reviewed. Specificity, the notion that particular risk factors are uniquely related to particular outcomes is discussed from a theoretical perspective, and models of specificity are described. Several domains of stressors are examined from a specificity framework (e.g., exposure to violence, abuse, and divorce/marital conflict) in relation to broad-band outcomes of internalizing and externalizing symptoms. Studies that tested for specificity conducted within the past 15 years are examined, and definitional problems are highlighted. Little evidence for specificity was found. Methodological problems in the literature and the lack of theory-driven specificity research are discussed, and directions for future research are identified.
346 citations
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TL;DR: The strongest evidence for niche partitioning was at the spatial scale of individual baits, which is consistent with other studies suggesting that ant species partition resources at fine spatial and temporal scales.
Abstract: Species coexistence can reflect niche partitioning at several spatial and temporal scales. We measured patterns of spatial and temporal niche overlap in an Oklahoma grassland ant assemblage. Ant species foraging on a 400-m2 grid of 25 tuna-fish baits were censused hourly for one 24-h period each month for 1 year. We used partial correlations to analyze pairwise associations of the four commonest species, and a null model analysis to quantify niche overlap among all seven species present. On a seasonal (monthly) time scale, niche overlap and pairwise species associations were random or aggregated, probably due to thermal constraints on ectotherms foraging in a seasonal environment. Within the warmer months of the year, there was some evidence of diurnal (24 h) niche partitioning: the variance in niche overlap was often greater than expected, and common species displayed both negative and positive associations with each other and with ambient air temperature. The strongest evidence for niche partitioning was at the spatial scale of individual baits. Species occurrences at baits were dynamic, with considerable turnover in composition and significantly less spatial niche overlap than expected by chance. These results are consistent with other studies suggesting that ant species partition resources at fine spatial and temporal scales.
345 citations
Authors
Showing all 17727 results
Name | H-index | Papers | Citations |
---|---|---|---|
Albert Hofman | 267 | 2530 | 321405 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
George Davey Smith | 224 | 2540 | 248373 |
Stephen V. Faraone | 188 | 1427 | 140298 |
Valentin Fuster | 179 | 1462 | 185164 |
Dennis J. Selkoe | 177 | 607 | 145825 |
Anders Björklund | 165 | 769 | 84268 |
Alfred L. Goldberg | 156 | 474 | 88296 |
Christopher P. Cannon | 151 | 1118 | 108906 |
Debbie A Lawlor | 147 | 1114 | 101123 |
Roger J. Davis | 147 | 498 | 103478 |
Andrew S. Levey | 144 | 600 | 156845 |
Jonathan G. Seidman | 137 | 563 | 89782 |
Yu Huang | 136 | 1492 | 89209 |
Christine E. Seidman | 134 | 519 | 67895 |