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- Dunn, Matt J, et al.
(författare)
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Minimal reporting guideline for research involving eye tracking (2023 edition)
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Ingår i: Behavior Research Methods. - 1554-3528.
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Tidskriftsartikel (refereegranskat)abstract
- A guideline is proposed that comprises the minimum items to be reported in research studies involving an eye tracker and human or non-human primate participant(s). This guideline was developed over a 3-year period using a consensus-based process via an open invitation to the international eye tracking community. This guideline will be reviewed at maximum intervals of 4 years.
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| 2. |
- Gilardoni, Stefania, et al.
(författare)
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Drivers controlling black carbon temporal variability in the lower troposphere of the European Arctic
- 2023
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Ingår i: Atmospheric Chemistry And Physics. - 1680-7316 .- 1680-7324. ; 23:24, s. 15589-15607
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Tidskriftsartikel (refereegranskat)abstract
- Black carbon (BC) is a short-lived climate forcer affecting the Arctic climate through multiple mechanisms, which vary substantially from winter to summer. Several models still fail in reproducing BC seasonal variability, limiting the ability to fully describe BC climate implications. This study aims at gaining insights into the mechanisms controlling BC transport from lower latitudes to the Arctic lower troposphere. Here we investigate the drivers controlling black carbon daily and seasonal variability in the Arctic using generalized additive models (GAMs). We analysed equivalent black carbon (eBC) concentrations measured at the Gruvebadet Atmospheric Laboratory (GAL – Svalbard archipelago) from March 2018 to December 2021. The eBC showed a marked seasonality with higher values in winter and early spring. The eBC concentration averaged 22 ± 20 ng m−3 in the cold season (November–April) and 11 ± 11 ng m−3 in the warm season (May–October). The seasonal and interannual variability was mainly modulated by the efficiency of wet scavenging removal during transport towards higher latitudes. Conversely, the short-term variability was controlled by boundary layer dynamics as well as local-scale and synoptic-scale circulation patterns. During both the cold and warm seasons, the transport of air masses from Europe and northern Russia was an effective pathway for the transport of pollution to the European Arctic. Finally, in the warm season we observed a link between the intrusion of warm air from lower latitudes and the increase in eBC concentration. Changes in the synoptic-scale circulation system and precipitation rate in the Northern Hemisphere, linked to climate change, are expected to modify the BC burden in the Arctic.
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| 3. |
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| 4. |
- Reymbaut, Alexis, et al.
(författare)
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Toward nonparametric diffusion-T1 characterization of crossing fibers in the human brain
- 2021
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Ingår i: Magnetic Resonance in Medicine. - : Wiley. - 0740-3194 .- 1522-2594. ; 85:5, s. 2815-2827
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To estimate (Formula presented.) for each distinct fiber population within voxels containing multiple brain tissue types. Methods: A diffusion- (Formula presented.) correlation experiment was carried out in an in vivo human brain using tensor-valued diffusion encoding and multiple repetition times. The acquired data were inverted using a Monte Carlo algorithm that retrieves nonparametric distributions (Formula presented.) of diffusion tensors and longitudinal relaxation rates (Formula presented.). Orientation distribution functions (ODFs) of the highly anisotropic components of (Formula presented.) were defined to visualize orientation-specific diffusion-relaxation properties. Finally, Monte Carlo density-peak clustering (MC-DPC) was performed to quantify fiber-specific features and investigate microstructural differences between white matter fiber bundles. Results: Parameter maps corresponding to (Formula presented.) ’s statistical descriptors were obtained, exhibiting the expected (Formula presented.) contrast between brain tissue types. Our ODFs recovered local orientations consistent with the known anatomy and indicated differences in (Formula presented.) between major crossing fiber bundles. These differences, confirmed by MC-DPC, were in qualitative agreement with previous model-based works but seem biased by the limitations of our current experimental setup. Conclusions: Our Monte Carlo framework enables the nonparametric estimation of fiber-specific diffusion- (Formula presented.) features, thereby showing potential for characterizing developmental or pathological changes in (Formula presented.) within a given fiber bundle, and for investigating interbundle (Formula presented.) differences.
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