| 1. |
- Charity, R. J., et al.
(författare)
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Two-proton decay of the 6Be ground state and the double isobaric analog of 11Li
- 2013
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Ingår i: Journal of Physics: Conference Series. - : IOP Publishing. - 1742-6588 .- 1742-6596. ; 420:1
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Konferensbidrag (refereegranskat)abstract
- Two-proton decay is discussed in a number of light isobaric multiplets. For the lightest two-proton emitter, 6Be, the momentum correlations between the three decay products were measured and found to be consistent with quantum-mechanical three-cluster-model calculations. Two-proton decay was also found for two members of the A=8 and A=11 quintets. Finally, a third member of the A=11 sextet, the double isobaric analog of the halo nucleus 11Li in 11B was observed by its two-proton decay.
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| 2. |
- Egorova, I. A., et al.
(författare)
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Democratic Decay of Be-6 Exposed by Correlations
- 2012
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Ingår i: Physical Review Letters. - 1079-7114 .- 0031-9007. ; 109:20
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Tidskriftsartikel (refereegranskat)abstract
- The interaction of an E/A = 70-MeV Be-7 beam with a Be target was used to populate levels in Be-6 following neutron knockout reactions. The three-body decay of the ground and first excited states into the alpha + p + p exit channel were detected in the High Resolution Array. Precise three-body correlations extracted from the experimental data allowed us to obtain insight into the mechanism of the three-body democratic decay. The correlation data are in good agreement with a three-cluster-model calculation and thus validate this theoretical approach over a broad energy range.
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| 3. |
- Kenet, T., et al.
(författare)
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Disconnectivity of the cortical ocular motor control network in autism spectrum disorders
- 2012
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Ingår i: Neuroimage. - : Elsevier BV. - 1053-8119. ; 61:4, s. 1226-1234
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Tidskriftsartikel (refereegranskat)abstract
- Response inhibition, or the suppression of prepotent but contextually inappropriate behaviors, is essential to adaptive, flexible responding. Individuals with autism spectrum disorders (ASD) consistently show deficient response inhibition during antisaccades. In our prior functional MRI study, impaired antisaccade performance was accompanied by reduced functional connectivity between the frontal eye field (FEF) and dorsal anterior cingulate cortex (dACC), regions critical to volitional ocular motor control. Here we employed magnetoencephalography (MEG) to examine the spectral characteristics of this reduced connectivity. We focused on coherence between FEF and dACC during the preparatory period of antisaccade and prosaccade trials, which occurs after the presentation of the task cue and before the imperative stimulus. We found significant group differences in alpha band mediated coherence. Specifically, neurotypical participants showed significant alpha band coherence between the right inferior FEF and right dACC and between the left superior FEF and bilateral dACC across antisaccade, prosaccade, and fixation conditions. Relative to the neurotypical group, ASD participants showed reduced coherence between these regions in all three conditions. Moreover, while neurotypical participants showed increased coherence between the right inferior FEF and the right dACC in preparation for an antisaccade compared to a prosaccade or fixation, ASD participants failed to show a similar increase in preparation for the more demanding antisaccade. These findings demonstrate reduced long-range functional connectivity in ASD, specifically in the alpha band. The failure in the ASD group to increase alpha band coherence with increasing task demand may reflect deficient top-down recruitment of additional neural resources in preparation to perform a difficult task. (C) 2012 Elsevier Inc. All rights reserved.
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| 4. |
- Thippur, Akshaya, et al.
(författare)
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KTH-3D-TOTAL : A 3D dataset for discovering spatial structures for long-term autonomous learning
- 2014
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Ingår i: 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014. - : IEEE. - 9781479951994 ; , s. 1528-1535
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Konferensbidrag (refereegranskat)abstract
- Long-term autonomous learning of human environments entails modelling and generalizing over distinct variations in: object instances in different scenes, and different scenes with respect to space and time. It is crucial for the robot to recognize the structure and context in spatial arrangements and exploit these to learn models which capture the essence of these distinct variations. Table-tops posses a typical structure repeatedly seen in human environments and are identified by characteristics of being personal spaces of diverse functionalities and dynamically changing due to human interactions. In this paper, we present a 3D dataset of 20 office table-tops manually observed and scanned 3 times a day as regularly as possible over 19 days (461 scenes) and subsequently, manually annotated with 18 different object classes, including multiple instances. We analyse the dataset to discover spatial structures and patterns in their variations. The dataset can, for example, be used to study the spatial relations between objects and long-term environment models for applications such as activity recognition, context and functionality estimation and anomaly detection.
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