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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    The ESMC will report on the implementation of mitigation actions defined in the risk register for the third year

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lan Wang; Simone M. Weinmann; Gabriella De Lucia; Xiaohu Yang;

    Assembly bias describes the finding that the clustering of dark matter haloes depends on halo formation time at fixed halo mass. In this paper, we analyse the influence of assembly bias on galaxy clustering using both semi-analytical models (SAMs) and observational data. At fixed stellar mass, SAMs predict that the clustering of {\it central} galaxies depends on the specific star formation rate (sSFR), with more passive galaxies having a higher clustering amplitude. We find similar trends using SDSS group catalogues, and verify that these are not affected by possible biases due to the group finding algorithm. Low mass central galaxies reside in narrow bins of halo mass, so the observed trends of higher clustering amplitude for galaxies with lower sSFR is not driven by variations of the parent halo mass. We argue that the clustering dependence on sSFR represent a direct detection of assembly bias. In addition, contrary to what expected based on clustering of dark matter haloes, we find that low-mass central galaxies in SAMs with larger host halo mass have a {\it lower} clustering amplitude than their counter-parts residing in lower mass haloes. This results from the fact that, at fixed stellar mass, assembly bias has a stronger influence on clustering than the dependence on the parent halo mass. Comment: 6 pages, 4 figures, accepted for publication in MNRAS, Fig.4 updated

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ arXiv.org e-Print Ar...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    https://doi.org/10.48550/arxiv...
    Article . 2013
    License: arXiv Non-Exclusive Distribution
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ arXiv.org e-Print Ar...arrow_drop_down
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      https://doi.org/10.48550/arxiv...
      Article . 2013
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    Dissemination reports will be delivered each year and the dissemination plan will be updated if necessary.

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  • Authors: Linford J. B. Briant, Quan Zhang, Elisa Vergari, Joely A. Kellard, Blanca Rodriguez, Frances M. Ashcroft, Patrik Rorsman;
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    The outcomes of Task 31 regarding the liveability indicators describing different aspects of WB and PH

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: van Drooge, Barend L.; Sicard, Michaël; Stohl, Andreas; Fontal, Marta; +5 Authors

    The combined use of chemical analysis of organic molecules in atmospheric aerosols (PM1) collected in situ in Barcelona and optical measurements with a light detection and ranging (LIDAR) instrument allowed the characterization of the smoke plume from a wildfire that reached the city in July 2012. Analysis of the chemical composition of the aerosols collected on 23 July 2012 confirmed the large effect of biomass burning on urban air quality during a period of several hours. Typical biomass burning tracers, such as levoglucosan, dehydroabietic acid and polycyclic aromatic hydrocarbons (PAH) were enhanced at the same time as the aerosol concentrations in the boundary layer increased. According to air-mass trajectory modeling, the biomass burning particles originated from a severe wildfire burning 120 km northeast of the city. On the following days, no significant contribution of wildfire smoke was found in the urban air, although the lidar detected particles aloft. A Lagrangian particle dispersion model (FLEXPART) was used to simulate the transport of aerosols (PM2.5) and carbon monoxide (CO), and the simulated concentrations in Barcelona were compared to in-situ measurements. FLEXPART simulated the onset of the wildfire smoke plume event in the urban center in the early morning of 23 July successfully; by contrast, the fast passage of the plume at the surface and the decoupling of the cleaner boundary layer from the persistent smoke plume aloft was not well captured. This was attributed to the fact that the model did not capture the local sea-breeze circulation well enough. Peer Reviewed

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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    Atmospheric Pollution Research
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    License: CC BY NC ND
    Data sources: UnpayWall
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      Atmospheric Pollution Research
      Article
      License: CC BY NC ND
      Data sources: UnpayWall
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Formisano, Annarita; Hunsberger, Monica; Bammann, Karin; Vanaelst, Barbara; +7 Authors

    AbstractObjectiveTo analyse the association between family structure and adiposity in children.DesignCross-sectional and longitudinal analysis of the IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) study cohort.SettingPrimary schools and kindergartens.SubjectsChildren (n12 350; aged 7·9 (sd1·8) years) for the cross-sectional analysis and children (n5236; at baseline: normal weight, aged 5·9 (sd1·8) years) for the longitudinal study underwent anthropometry. Family structure was analysed as (i) number and type of cohabiting adults and (ii) number of siblings.ResultsIn the cross-sectional analysis, after controlling for covariates, children living with grandparents had significantly higher BMIZ-score than those living with both parents (0·63; 95 % CI 0·33, 0·92v. 0·19; 95 % CI 0·17, 0·22;P< 0·01); in addition, the higher the number of siblings, the lower the BMIZ-score (only child = 0·31; 95 % CI 0·24, 0·38; 1 sibling = 0·19; 95 % CI 0·16, 0·23; 2 siblings = 0·15; 95 % CI 0·09, 0·20; >2 siblings = 0·07, 95 % CI 0·04, 0·19;P< 0·001). Over the 2-year follow-up, differences in weight gain were observed across family-structure categories. Further, the risk of incidence of overweight/obesity was significantly lower the higher the number of siblings living in the household (v. only child: 1 sibling = 0·74, 95 % CI 0·57, 0·96; 2 siblings = 0·63, 95 % CI 0·45, 0·88; >2 siblings = 0·40, 95 % CI 0·21, 0·77), independently of confounders.ConclusionsThe study suggests that an independent association between family structure and childhood obesity exists.

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    Public Health Nutrition
    Article . 2013
    License: Cambridge Core User Agreement
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    Europe PubMed Central
    Other literature type . 2013
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      Public Health Nutrition
      Article . 2013
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      Europe PubMed Central
      Other literature type . 2013
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    Authors: C. JäGer; J. SteinhäUser; T. Freund; R. Baker; +8 Authors

    Chronic conditions and recommendations targeted in the TICD project. (PDF 188 kb)

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    figshare
    Research . 2016
    License: CC BY
    Data sources: Datacite
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    Research . 2016
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      Research . 2016
      License: CC BY
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      Research . 2016
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: GEORG GOTTLOB; MARCO MANNA; ANDREAS PIERIS;

    AbstractExistential rules are Datalog rules extended with existential quantifiers in rule-heads. Three fundamental restriction paradigms that have been studied for ensuring decidability of query answering under existential rules are weak-acyclicity, guardedness and stickiness. Towards the identification of even more expressive decidable languages, several attempts have been conducted to consolidate weak-acyclicity with the other two paradigms. However, it is not clear how guardedness and stickiness can be merged; this is the subject of this paper. A powerful and flexible condition, called tameness, is proposed, which allows us to consolidate in an elegant and uniform way guardedness with stickiness.

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    Theory and Practice of Logic Programming
    Article . 2013
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      Theory and Practice of Logic Programming
      Article . 2013
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: R, Leitsmann; F, Küwen; C, Rödl; C, Panse; +1 Authors

    We studied the influence of strong electron correlation on magnetic properties of Si nanocrystals doped with the transition metal (TM) atoms Mn and Fe. Different approaches to describe exchange and correlation (XC) effects are compared within a density-functional framework. Beside a semilocal treatment, two different methods to include the influence of electron correlation on the localized TM 3d states are studied. They are based on XC functionals with the inclusion of on-site Coulomb repulsion or short-range screened exchange. We demonstrate a strong dependence of both electronic structure and magnetization on the used XC functional. The inclusion of strong correlation drastically changes position and occupation of the TM or TM-Si-bond-derived levels as well as the total magnetic moments.

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    The ESMC will report on the implementation of mitigation actions defined in the risk register for the third year

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    Authors: Lan Wang; Simone M. Weinmann; Gabriella De Lucia; Xiaohu Yang;

    Assembly bias describes the finding that the clustering of dark matter haloes depends on halo formation time at fixed halo mass. In this paper, we analyse the influence of assembly bias on galaxy clustering using both semi-analytical models (SAMs) and observational data. At fixed stellar mass, SAMs predict that the clustering of {\it central} galaxies depends on the specific star formation rate (sSFR), with more passive galaxies having a higher clustering amplitude. We find similar trends using SDSS group catalogues, and verify that these are not affected by possible biases due to the group finding algorithm. Low mass central galaxies reside in narrow bins of halo mass, so the observed trends of higher clustering amplitude for galaxies with lower sSFR is not driven by variations of the parent halo mass. We argue that the clustering dependence on sSFR represent a direct detection of assembly bias. In addition, contrary to what expected based on clustering of dark matter haloes, we find that low-mass central galaxies in SAMs with larger host halo mass have a {\it lower} clustering amplitude than their counter-parts residing in lower mass haloes. This results from the fact that, at fixed stellar mass, assembly bias has a stronger influence on clustering than the dependence on the parent halo mass. Comment: 6 pages, 4 figures, accepted for publication in MNRAS, Fig.4 updated

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    https://doi.org/10.48550/arxiv...
    Article . 2013
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      https://doi.org/10.48550/arxiv...
      Article . 2013
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    Dissemination reports will be delivered each year and the dissemination plan will be updated if necessary.

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  • Authors: Linford J. B. Briant, Quan Zhang, Elisa Vergari, Joely A. Kellard, Blanca Rodriguez, Frances M. Ashcroft, Patrik Rorsman;
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    The outcomes of Task 31 regarding the liveability indicators describing different aspects of WB and PH

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    Authors: van Drooge, Barend L.; Sicard, Michaël; Stohl, Andreas; Fontal, Marta; +5 Authors

    The combined use of chemical analysis of organic molecules in atmospheric aerosols (PM1) collected in situ in Barcelona and optical measurements with a light detection and ranging (LIDAR) instrument allowed the characterization of the smoke plume from a wildfire that reached the city in July 2012. Analysis of the chemical composition of the aerosols collected on 23 July 2012 confirmed the large effect of biomass burning on urban air quality during a period of several hours. Typical biomass burning tracers, such as levoglucosan, dehydroabietic acid and polycyclic aromatic hydrocarbons (PAH) were enhanced at the same time as the aerosol concentrations in the boundary layer increased. According to air-mass trajectory modeling, the biomass burning particles originated from a severe wildfire burning 120 km northeast of the city. On the following days, no significant contribution of wildfire smoke was found in the urban air, although the lidar detected particles aloft. A Lagrangian particle dispersion model (FLEXPART) was used to simulate the transport of aerosols (PM2.5) and carbon monoxide (CO), and the simulated concentrations in Barcelona were compared to in-situ measurements. FLEXPART simulated the onset of the wildfire smoke plume event in the urban center in the early morning of 23 July successfully; by contrast, the fast passage of the plume at the surface and the decoupling of the cleaner boundary layer from the persistent smoke plume aloft was not well captured. This was attributed to the fact that the model did not capture the local sea-breeze circulation well enough. Peer Reviewed

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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    Atmospheric Pollution Research
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      Atmospheric Pollution Research
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    Authors: Formisano, Annarita; Hunsberger, Monica; Bammann, Karin; Vanaelst, Barbara; +7 Authors

    AbstractObjectiveTo analyse the association between family structure and adiposity in children.DesignCross-sectional and longitudinal analysis of the IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) study cohort.SettingPrimary schools and kindergartens.SubjectsChildren (n12 350; aged 7·9 (sd1·8) years) for the cross-sectional analysis and children (n5236; at baseline: normal weight, aged 5·9 (sd1·8) years) for the longitudinal study underwent anthropometry. Family structure was analysed as (i) number and type of cohabiting adults and (ii) number of siblings.ResultsIn the cross-sectional analysis, after controlling for covariates, children living with grandparents had significantly higher BMIZ-score than those living with both parents (0·63; 95 % CI 0·33, 0·92v. 0·19; 95 % CI 0·17, 0·22;P< 0·01); in addition, the higher the number of siblings, the lower the BMIZ-score (only child = 0·31; 95 % CI 0·24, 0·38; 1 sibling = 0·19; 95 % CI 0·16, 0·23; 2 siblings = 0·15; 95 % CI 0·09, 0·20; >2 siblings = 0·07, 95 % CI 0·04, 0·19;P< 0·001). Over the 2-year follow-up, differences in weight gain were observed across family-structure categories. Further, the risk of incidence of overweight/obesity was significantly lower the higher the number of siblings living in the household (v. only child: 1 sibling = 0·74, 95 % CI 0·57, 0·96; 2 siblings = 0·63, 95 % CI 0·45, 0·88; >2 siblings = 0·40, 95 % CI 0·21, 0·77), independently of confounders.ConclusionsThe study suggests that an independent association between family structure and childhood obesity exists.

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    Public Health Nutrition
    Article . 2013
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    Data sources: Crossref
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    Europe PubMed Central
    Other literature type . 2013
    Data sources: PubMed Central
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