2,863 research outputs found
How to get all trials reported: audit, better data, and individual accountability.
Reflecting on the new WHO statement on clinical trial registration and reporting, Ben Goldacre proposes simple solutions for ensuring clinical trial results are made publicly available
Associations between selected immune-mediated diseases and tuberculosis: record-linkage studies
PMCID: PMC3616814This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited
POSE ESTIMATION OR MANUAL DIGITISING: CAN AUTOMATING TECHNOLOGIES CHANGE THE CURRENT IN-FIELD ASSESSMENT OF HIGH JUMP?
Biomechanists spend significant time completing the time-consuming task of manually digitising 2D videos to derive kinematic spatiotemporal parameters. Recent advances in 2D pose estimation models (PEMs) hold promise for automating the determination of parameters in sport. This study developed an automated PEM digitising and analysis pipeline (AAP) for high jump. We investigated differences in four spatiotemporal and joint angle outputs from traditional manual processing pipelines (MAP) and the AAP using paired t-tests, intra-class correlations and effect size analysis. Statistical analysis revealed that knee angles derived from the MAP and AAP were not different, whereas penultimate foot contact time and both body angle “lean” measures were different. The custom AAP considerably reduced processing time for the selected high jump execution parameters
Maize silage for dairy cows: mitigation of methane emissions can be offset bij and use change
Increasing the digestibility of cattle rations by feeding grains and whole plant silages from maize have been identified as effective options to mitigate greenhouse gas emissions. The effect of ploughing grassland for maize crops have not been taken into account yet. A intensive dairy farm is used as an example to demonstrate the trade offs by this type of land use change when more maize silage is fed to dairy cows. The model DAIRY WISE has been used to calculate the mitigation by the changed ration, the Introductory Carbon Balance Model to calculate the changes in soil organic carbon and nitrogen caused by ploughing grassland for maize crops. The losses of soil carbon and the loss of sequestration potential are much larger than the annual mitigation by feeding more maize. The ecosystem carbon payback time defines the years of mitigation that are needed before the emissions due to land use change are compensated. For ploughing grassland on sandy soils, the carbon payback time is 60 years. A higher global warming potential for methane can reduce the carbon payback time with 30%. Ploughing clay soils with a higher equilibrium level of soil organic matter increases the payback time by maximally 70%. The payback times occur only in the case of permanent maize cropping, grass maize rotations cause annual losses of nitrous oxide that are larger than the mitigation by feeding more maize
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