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- Boldemann, Cecilia, et al.
(author)
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Impact of preschool environment upon children's physical activity and sun exposure.
- 2006
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In: Preventive medicine. - : Elsevier BV. - 0091-7435. ; 42:4, s. 301-8
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Journal article (peer-reviewed)abstract
- The physical qualities of outdoor environments are important to trigger healthy behavior in children. We studied the impact of outdoor environments upon spontaneous physical activity and exposure to ultraviolet (UV) radiation in 4- to 6-year-old children at 11 preschools in Stockholm county.
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- Dal Molin, A., et al.
(author)
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Development of a new compact gamma-ray spectrometer optimised for runaway electron measurements
- 2018
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In: Review of Scientific Instruments. - : AMER INST PHYSICS. - 0034-6748 .- 1089-7623. ; 89:10
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Journal article (peer-reviewed)abstract
- A new compact gamma-ray spectrometer was developed in order to optimise the measurement of bremsstrahlung radiation emitted from runaway electrons in the MeV range. The detector is based on a cerium doped lutetium-yttrium oxyorthosilicate (LYSO:Ce) scintillator coupled to a silicon photomultiplier and is insensitive to magnetic fields. Adedicated electronic board was developed to optimise the signal readout as well as for online control of the device. The detector combines a dynamic range up to 10 MeV with moderate energy non-linearity, counting rate capabilities in excess of 1 MHz, and an energy resolution that extrapolates to a few % in the MeV range, thus meeting the requirements for its application to runaway electron studies by bremsstrahlung measurements in the gamma-ray energy range.
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- Gong, Tong, et al.
(author)
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Perinatal exposure to traffic-related air pollution and autism spectrum disorders
- 2016
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In: Environmental Health Perspectives. - Stockholm : Karolinska Institutet, Dept of Medical Epidemiology and Biostatistics. - 0091-6765. ; 125:1, s. 119-126
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Journal article (peer-reviewed)abstract
- Background: Studies from the United States indicate that exposure to air pollution in early life is associated with autism spectrum disorders (ASD) in children, but the evidence is not consistent with European data. Objective: We aimed to investigate the association between exposure to air pollution from road traffic and the risk of ASD in children, with careful adjustment for socioeconomic and other confounders. Method: Children born and residing in Stockholm, Sweden, during 1993–2007 with an ASD diagnosis were identified through multiple health registers and classified as cases (n = 5,136). A randomly selected sample of 18,237 children from the same study base constituted controls. Levels of nitrogen oxides (NOx) and particulate matter with diameter ≤ 10 μm (PM10) from road traffic were estimated at residential addresses during mother’s pregnancy and the child’s first year of life by dispersion models. Odds ratios (OR) and 95% confidence intervals (CI) for ASD with or without intellectual disability (ID) were estimated using logistic regression models after conditioning on municipality and calendar year of birth as well as adjustment for potential confounders. Result: Air pollution exposure during the prenatal period was not associated with ASD overall (OR = 1.00; 95% CI: 0.86, 1.15 per 10-μg/m3 increase in PM10 and OR = 1.02; 95% CI: 0.94, 1.10 per 20-μg/m3 increase in NOx during mother’s pregnancy). Similar results were seen for exposure during the first year of life, and for ASD in combination with ID. An inverse association between air pollution exposure and ASD risk was observed among children of mothers who moved to a new residence during pregnancy. Conclusion: Early-life exposure to low levels of NOx and PM10 from road traffic does not appear to increase the risk of ASD.
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- Joffrin, E., et al.
(author)
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Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall
- 2019
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In: Nuclear Fusion. - : IOP Publishing. - 1741-4326 .- 0029-5515. ; 59:11
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Research review (peer-reviewed)abstract
- For the past several years, the JET scientific programme (Pamela et al 2007 Fusion Eng. Des. 82 590) has been engaged in a multi-campaign effort, including experiments in D, H and T, leading up to 2020 and the first experiments with 50%/50% D-T mixtures since 1997 and the first ever D-T plasmas with the ITER mix of plasma-facing component materials. For this purpose, a concerted physics and technology programme was launched with a view to prepare the D-T campaign (DTE2). This paper addresses the key elements developed by the JET programme directly contributing to the D-T preparation. This intense preparation includes the review of the physics basis for the D-T operational scenarios, including the fusion power predictions through first principle and integrated modelling, and the impact of isotopes in the operation and physics of D-T plasmas (thermal and particle transport, high confinement mode (H-mode) access, Be and W erosion, fuel recovery, etc). This effort also requires improving several aspects of plasma operation for DTE2, such as real time control schemes, heat load control, disruption avoidance and a mitigation system (including the installation of a new shattered pellet injector), novel ion cyclotron resonance heating schemes (such as the three-ions scheme), new diagnostics (neutron camera and spectrometer, active Alfven eigenmode antennas, neutral gauges, radiation hard imaging systems...) and the calibration of the JET neutron diagnostics at 14 MeV for accurate fusion power measurement. The active preparation of JET for the 2020 D-T campaign provides an incomparable source of information and a basis for the future D-T operation of ITER, and it is also foreseen that a large number of key physics issues will be addressed in support of burning plasmas.
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- Lundin, Andreas, et al.
(author)
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Discriminant validity of the 12-item version of the general health questionnaire in a Swedish case-control study
- 2017
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In: Nordic Journal of Psychiatry. - : Informa UK Limited. - 0803-9488 .- 1502-4725. ; 71:3, s. 171-179
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Journal article (peer-reviewed)abstract
- BACKGROUND: The 12-item version of the General Health Questionnaire (GHQ-12) is widely used as a proxy for Affective Disorders in public health surveys, although the cut-off points for distress vary considerably between studies. The agreement between the GHQ-12 score and having a clinical disorder in the study population is usually unknown.AIMS: This study aimed to assess the criterion validity and to determine the sensitivity and specificity of the GHQ-12 in the Swedish population.METHODS: This study used 556 patient cases surveyed in specialized psychiatric care outpatient age- and sex-matched with 556 controls from the Stockholm Health Survey. Criterion validity for two scoring methods of GHQ-12 was tested using Receiver Operating Characteristics (ROC) analyses with Area Under the Curve (AUC) as a measure of agreement. Reference standard was (1) specialized psychiatric care and (2) current depression, anxiety or adjustment disorder.RESULTS: Both the Likert and Standard GHQ-12 scoring method discriminated excellently between individuals using specialized psychiatric services and healthy controls (Likert index AUC = 0.86, GHQ index AUC = 0.83), and between individuals with current disorder from healthy controls (Likert index AUC = 0.90, GHQ index AUC = 0.88). The best cut-off point for the GHQ index was ≥4 (sensitivity = 81.7 and specificity = 85.4), and for the Likert index ≥14 (sensitivity = 85.5 and specificity = 83.2).CONCLUSIONS: The GHQ-12 has excellent discriminant validity and is well suited as a non-specific measure of affective disorders in public mental health surveys.
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- Narri, Vandana, et al.
(author)
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Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios
- 2021
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In: 2021 32nd IEEE Intelligent Vehicles Symposium (IV). - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 385-392
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Conference paper (peer-reviewed)abstract
- One of the main challenges in developing autonomous transport systems based on connected and automated vehicles is the comprehension and understanding of the environment around each vehicle. In many situations, the understanding is limited to the information gathered by the sensors mounted on the ego-vehicle, and it might be severely affected by occlusion caused by other vehicles or fixed obstacles along the road. Situational awareness is the ability to perceive and comprehend a traffic situation and to predict the intent of vehicles and road users in the surrounding of the ego-vehicle. The main objective of this paper is to propose a framework for how to automatically increase the situational awareness for an automatic bus in a realistic scenario when a pedestrian behind a parked truck might decide to walk across the road. Depending on the ego-vehicle's ability to fuse information from sensors in other vehicles or in the infrastructure, shared situational awareness is developed using a set-based estimation technique that provides robust guarantees for the location of the pedestrian. A two-level information fusion architecture is adopted, where sensor measurements are fused locally, and then the corresponding estimates are shared between vehicles and units in the infrastructure. Thanks to the provided safety guarantees, it is possible to adjust the ego-vehicle speed appropriately to maintain a proper safety margin. Three scenarios of growing information complexity are considered throughout the study. Simulations show how the increased situational awareness allows the ego-vehicle to maintain a reasonable speed without sacrificing safety.
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