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Institution

Oregon State University

EducationCorvallis, Oregon, United States
About: Oregon State University is a education organization based out in Corvallis, Oregon, United States. It is known for research contribution in the topics: Population & Climate change. The organization has 28192 authors who have published 64044 publications receiving 2634108 citations. The organization is also known as: Oregon Agricultural College & OSU.


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Journal ArticleDOI
TL;DR: In this paper, a general framework for forecast verification based on the joint distribution of forecasts and observations is described, and two factorizations of the joint distributions are investigated: 1) the calibration-refinement factorization, which involves the conditional distributions of observations given forecasts and the marginal distributions of forecasts, and 2) the likelihood-base factorization.
Abstract: A general framework for forecast verification based on the joint distribution of forecasts and observations is described. For further elaboration of the framework, two factorizations of the joint distribution are investigated: 1) the calibration-refinement factorization, which involves the conditional distributions of observations given forecasts and the marginal distribution of forecasts, and 2) the likelihood-base factorization, which involve the conditional distributions of forecasts given observations and the marginal distribution of observations. The names given to the factorizations reflect the fact that they relate to different attributes of the forecasts and/or observations. Several examples are used to illustrate the interpretation of these factorizations in the context of verification and to describe the relationship between the respective factorizations. Some insight into the potential utility of the framework is provided by demonstrating that basic elements and summary measures of the...

668 citations

Journal ArticleDOI
TL;DR: Tai chi training appears to reduce balance impairments in patients with mild-to-moderate Parkinson's disease, with additional benefits of improved functional capacity and reduced falls.
Abstract: A B S T R AC T RESULTS The tai chi group performed consistently better than the resistance-training and stretching groups in maximum excursion (between-group difference in the change from baseline, 5.55 percentage points; 95% confidence interval (CI), 1.12 to 9.97; and 11.98 percentage points; 95% CI, 7.21 to 16.74, respectively) and in directional con- trol (10.45 percentage points; 95% CI, 3.89 to 17.00; and 11.38 percentage points; 95% CI, 5.50 to 17.27, respectively). The tai chi group also performed better than the stretching group in all secondary outcomes and outperformed the resistance- training group in stride length and functional reach. Tai chi lowered the incidence of falls as compared with stretching but not as compared with resistance training. The effects of tai chi training were maintained at 3 months after the intervention. No serious adverse events were observed. CONCLUSIONS Tai chi training appears to reduce balance impairments in patients with mild-to- moderate Parkinson's disease, with additional benefits of improved functional capac - ity and reduced falls. (Funded by the National Institute of Neurological Disorders and Stroke; ClinicalTrials.gov number, NCT00611481.)

666 citations

Journal ArticleDOI
11 Sep 2009-Science
TL;DR: Using an 800-kilometer-long, densely spaced seismic array, an image of the crust and upper mantle beneath the Himalayas and the southern Tibetan Plateau is constructed, revealing in a continuous fashion the Main Himalayan thrust fault as it extends from a shallow depth under Nepal to the mid-crust under southern Tibet.
Abstract: We studied the formation of the Himalayan mountain range and the Tibetan Plateau by investigating their lithospheric structure. Using an 800-kilometer-long, densely spaced seismic array, we have constructed an image of the crust and upper mantle beneath the Himalayas and the southern Tibetan Plateau. The image reveals in a continuous fashion the Main Himalayan thrust fault as it extends from a shallow depth under Nepal to the mid-crust under southern Tibet. Indian crust can be traced to 31°N. The crust/mantle interface beneath Tibet is anisotropic, indicating shearing during its formation. The dipping mantle fabric suggests that the Indian mantle is subducting in a diffuse fashion along several evolving subparallel structures.

666 citations

Journal ArticleDOI
TL;DR: In this article, the Delphi technique has been used to identify and qualify potential expert panelists according to objective guidelines and select appropriate parameters of the study such as the number of panelists, number of rounds, type of feedback, and measure of consensus.
Abstract: Construction engineering and management CEM researchers often rely on alternative research techniques when traditional methods fail. For example, surveys, interviews, and group-brainstorming techniques may not be appropriate for research that involves confounding factors and requires access to sensitive data. In such an environment, the Delphi technique allows researchers to obtain highly reliable data from certified experts through the use of strategically designed surveys. At present, the Delphi method has not seen widespread use in CEM research. This is likely due to variation among studies that implement Delphi in CEM research and ambiguity in literature that provides guidance for the specific parameters associated with the method. Using the guidance in this paper, the reader may: 1 understand the merits, appropriate application, and appropriate procedure of the traditional Delphi process; 2 identify and qualify potential expert panelists according to objective guidelines; 3 select the appropriate parameters of the study such as the number of panelists, number of rounds, type of feedback, and measure of consensus; 4 identify potential biases that may negatively impact the quality of the results; and 5 appropriately structure the surveys and conduct the process in such a way that bias is minimized or eliminated.

664 citations

Journal ArticleDOI
TL;DR: The experimental approach is supplemented with theoretical calculations of nitrogen transformations in a shortgrass prairie, which incorporate a wide array of information on decomposer organisms, including their feeding preferences, nitrogen contents, life spans, assimilation efficiencies, productio:assimilation ratios, decomposabilities, and population sizes.
Abstract: Several experimental approaches have been taken to demonstrate the importance of soil fauna in nitrogen mineralization, but there have been difficulties interpreting the results We have supplemented the experimental approach with theoretical calculations of nitrogen transformations in a shortgrass prairie The calculations incorporate a wide array of information on decomposer organisms, including their feeding preferences, nitrogen contents, life spans, assimilation efficiencies, productio:assimilation ratios, decomposabilities, and population sizes The results are estimates of nitrogen transfer rates through the detrital food web, including rates of N mineralization by bacteria, fungi, root-feeding nematodes, collembolans, fungal-feeding mites, fungal-feeding nematodes, flagellates, bacterial-feeding nematodes, amoebae, omnivorous nematodes, predaceous nematodes, nematode-feeding mites, and predaceous mites Bacteria are estimated to mineralize the most N (45 g N m−2 year−1), followed by the fauna (29), and fungi (03) Bacterial-feeding amoebae and nematodes together account for over 83% of N mineralization by the fauna The detrital food web in a shortgrass prairie is similar to that of a desert grassland The shortgrass detrital web seems to be divided into bacteria- and fungus-based components, although these two branches are united at the level of predaceous nematodes and mites

664 citations


Authors

Showing all 28447 results

NameH-indexPapersCitations
Robert Stone1601756167901
Menachem Elimelech15754795285
Thomas J. Smith1401775113919
Harold A. Mooney135450100404
Jerry M. Melillo13438368894
John F. Thompson132142095894
Thomas N. Williams132114595109
Peter M. Vitousek12735296184
Steven W. Running12635576265
Vincenzo Di Marzo12665960240
J. D. Hansen12297576198
Peter Molnar11844653480
Michael R. Hoffmann10950063474
David Pollard10843839550
David J. Hill107136457746
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023105
2022375
20213,156
20203,109
20193,017
20182,987