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International audience

Climate Change has already caused large losses on natural occurring ice in the last decades and continues to do so. Antarctica, the largest source of land ice, contains an equivalent of several tens of meters of sea water level rise, which is induced not only by melting but also by out flow into ice shelves, the floating tongues of glaciers. In the last decades with recorded longer melt seasons and warming water in Antarctica, ice shelves are thinning and breaking up. With that, speed up of shelf inflowing glaciers are recorded, highlighting the buttressing force ice shelves have on glaciers and therefore their importance to the Antarctic Ice Sheet.Many factors play a roll in the integrity of ice shelves, besides melting on the surface and from below, waves, tides and pressure imbalances at the calving front (buoyancy force) induce bending moments on short time scales.While ice is mainly studied as purely viscous, elastic or even plastic material. Certain ice shelf behaviour, like the tidal deformation near the grounding line or drainage of melt ponds, can only be sufficiently simulated with an viscoelastic model - representing the viscous thinning of ice as well as short term elastic bending deformations.Viscoelastic studies of ice so far have used commercial proprietary software, which require expensive licences and often lack inside in the used algorithms or flexibility to adapt the code as needed.In this thesis a viscoelastic model was developed in the open source FEM C++ environment Rheolef.; Le changement climatique a engendré des pertes considérables pour les glaces continentales au cours de ces dernières décennies et perdure toujours aujourd'hui. L'Antarctique, la plus grande réserve de glace naturelle recèle à lui seul l'équivalent d'une hausse potentielle du niveau marin mondial de plusieurs dizaines de m, laquelle résulte non seulement de la fonte mais aussi de l'écoulement de la glace au travers les plateformes flottantes des glaciers émissaires, les 'ice shelves'. Depuis les dernières décennies caractérisées par des saisons de fonte plus longues et un océan de plus en plus chaud les 'ice shelves' s'amincissent et se désintégrent plus facilement. Parallèlement, une accélération des glaciers nourrissant ces shelves s'observe, mettant en évidence leur caractère d'arc-boutant sur l'écoulement de la glace vers la mer et leur importance sur la calotte glaciaire Antarctique.De nombreux facteurs participent à la perte de cohésion des ice shelves. En plus de la fonte en surface et à la face inférieure, les vagues, les marrées ainsi que les différences de pression au niveau du front de vêlage induisent des moments de torsion à haute fréquence.La glace est généralement modélisée comme étant soit purement visqueuse, soit élastique voire même plastique, cependant, certains des comportements du shelf comme la déformation liée aux marrées près de la ligne d'échouage ou la purge des lacs de surface ne peuvent être correctement simulés qu'avec un modèle visco-élastique reproduisant à la fois l'amincissement visqueux de la glace et le flambage élastique à court terme de la plaque.Jusqu'à présent, les modélisations visco-élastiques de la glace ont fait appel à des codes commerciaux coûteux aux algorithmes figés et non adaptables aux spécificités du problème. Cette thèse propose le développement d'un modèle visco-élastique de la dynamique des shelves à l'aide de l'environnement 'open 'source' Finite Element Method C++ Rheolef.

International audience

The Balkan region has some of the best conserved rivers in Europe, but is also the location of ~3000 planned hydropower dams that are expected to help decarbonise energy production. A conflict between policies that promote renewable hydropower and those that prioritise river conservation has ensued, which can only be resolved with the help of reliable information. Using ground-truthed barrier data, we analysed the extent of current longitudinal river fragmentation in the Balkan region and simulated nine dam construction scenarios that varied depending on the number, location and size of the planned dams. Balkan rivers are currently fragmented by 83,017 barriers and have an average barrier density of 0.33 barriers/km after correcting for barrier underreporting; this is 2.2 times lower than the mean barrier density found across Europe and serves to highlight the relatively unfragmented nature of these rivers. However, our analysis shows that all simulated dam construction scenarios would result in a significant loss of connectivity compared to existing conditions. The largest loss of connectivity (−47 %), measured as reduction in barrier-free length, would occur if all planned dams were built, 20 % of which would impact on protected areas. The smallest loss of connectivity (−8 %) would result if only large dams (>10 MW) were built. In contrast, building only small dams (

Background To date, there are no studies that have analyzed the possible influence of exposure to prenatal sex hormones on the risk of laryngeal cancer (LC) and premalignant laryngeal lesion—vocal fold leukoplakia (VFL). Digit ratio (2D:4D) is suggested to be a proxy of prenatal sex hormone exposure. Objective To examine 2D:4D in patients with LC and clarify if it could add to the verified risk factors in estimating the overall risk of LC. Methods 511 subjects participated in the study. The study group included 269 patients: with LC (N = 114, 64 men) and VFL (N = 155, 116 men). Controls included 242 healthy individuals (66.40 ± 4.50 years (106 men)). Results Predictive models estimating the risk of VFL and LC in women, based solely on predictors like smoking and alcohol consumption had a lower area under the ROC curve (AUC) than the model with left 2D:4D. AUC for the model estimating the likelihood of VFL increased from 0.83 to 0.85, and for LC from 0.76 to 0.79. Conclusions Low left 2D:4D may be associated with an increased risk of developing leukoplakia and laryngeal cancer in women. In the case of laryngeal cancer, left 2D:4D may serve as additional variable (to other known risk factors, such as smoking and/or alcohol consumption), which can improve cancer risk prediction.

International audience

International audience

Background: Early-life respiratory tract infections might affect chronic obstructive respiratory diseases, but conclusive studies from general populations are lacking. Our objective was to examine if children with early-life respiratory tract infections had increased risks of lower lung function and asthma at school age. Methods: We used individual participant data of 150 090 children primarily from the EU Child Cohort Network to examine the associations of upper and lower respiratory tract infections from age 6 months to 5 years with forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC, forced expiratory flow at 75% of FVC (FEF75%) and asthma at a median (range) age of 7 (4-15) years. Results: Children with early-life lower, not upper, respiratory tract infections had a lower school-age FEV1, FEV1/FVC and FEF75% (z-score range: -0.09 (95% CI -0.14- -0.04) to -0.30 (95% CI -0.36- -0.24)). Children with early-life lower respiratory tract infections had a higher increased risk of school-age asthma than those with upper respiratory tract infections (OR range: 2.10 (95% CI 1.98-2.22) to 6.30 (95% CI 5.64-7.04) and 1.25 (95% CI 1.18-1.32) to 1.55 (95% CI 1.47-1.65), respectively). Adjustment for preceding respiratory tract infections slightly decreased the strength of the effects. Observed associations were similar for those with and without early-life wheezing as a proxy for early-life asthma. Conclusions: Our findings suggest that early-life respiratory tract infections affect development of chronic obstructive respiratory diseases in later life, with the strongest effects for lower respiratory tract infections. A comprehensive list of grant funding is available on the ALSPAC website (www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). BAMSE: BAMSE was funded by the Swedish Research Council, the Swedish Heart Lung Foundation, ALF Region Stockholm and SFO Epidemiology Karolinska Institutet. E. Mélen is supported by a European Research Council grant (TRIBAL, 757919). BiB (Born in Bradford): BiB is only possible because of the enthusiasm and commitment of the children and parents in BiB. We are grateful to all the participants, practitioners and researchers who have made BiB happen. The BiB study presents independent research commissioned by the National Institute for Health Research Collaboration for Applied Health Research and Care (NIHR CLAHRC) and the Programme Grants for Applied Research funding scheme (RP-PG-0407-10044). Core support for BiB is also provided by the Wellcome Trust (WT101597MA). BILD: This study was funded by the Swiss National Science Foundation (320030_163311). CoNER: Funds were obtained from the special programme (Programmi speciali – Art.12 bis, comma 6 D.lgs.229/99 Sanitaria e della Vigilanza sugli Enti) funded by the Italian Ministry of Health. Approval for the study was obtained from the Ethics Committee of the S. Orsola-Malpighi Teaching Hospital in April 2004 (52/2004/U/Tess). COPSAC 2000 and COPSAC 2010: All funding received by COPSAC is listed on www.copsac.com. The Lundbeck Foundation (R16-A1694), Ministry of Health (903516), Danish Council for Strategic Research (0603-00280B) and Capital Region Research Foundation have provided core support to the COPSAC research centre. We express our deepest gratitude to the children and families of the COPSAC 2000 and COPSAC 2010 cohort studies for all their support and commitment. We acknowledge and appreciate the unique efforts of the COPSAC research team. DNBC (Danish National Birth Cohort): The authors would like to thank the participants, the first Principal Investigator of DNBC, Jørn Olsen, the scientific managerial team and DNBC secretariat for being, establishing, developing and consolidating the DNBC. The DNBC was established with a significant grant from the Danish National Research Foundation. Additional support was obtained from the Danish Regional Committees, Pharmacy Foundation, Egmont Foundation, March of Dimes Birth Defects Foundation, Health Foundation and other minor grants. The DNBC Biobank has been supported by the Novo Nordisk Foundation and Lundbeck Foundation. Follow-up of mothers and children has been supported by the Danish Medical Research Council (SSVF 0646, 271-08-0839/06-066023, O602-01042B, 0602-02738B), Lundbeck Foundation (195/04, R100-A9193), Innovation Fund Denmark 0603-00294B (09-067124), Nordea Foundation (02-2013-2014), Aarhus Ideas (AU R9-A959-13-S804), University of Copenhagen Strategic Grant (IFSV 2012) and Danish Council for Independent Research (DFF-4183-00594, DFF-4183-00152). A. Pinot de Moira is funded by a Lundbeck Foundation grant (R264-2017-3099). EDEN: We thank the EDEN mother–child cohort study group (I. Annesi-Maesano, J.Y. Bernard, J. Botton, M.A. Charles, P. Dargent-Molina, B. de Lauzon-Guillain, P. Ducimetière, M. de Agostini, B. Foliguet, A. Forhan, X. Fritel, A. Germa, V. Goua, R. Hankard, B. Heude, M. Kaminski, B. Larroque†, N. Lelong, J. Lepeule, G. Magnin, L. Marchand, C. Nabet, F. Pierre, R. Slama, M.J. Saurel-Cubizolles, M. Schweitzer and O. Thiebaugeorges). We thank all funding sources for the EDEN study (not allocated for the present study but for the cohort): Foundation for Medical Research (FRM), National Agency for Research (ANR), National Institute for Research in Public health (IRESP: TGIR cohorte santé 2008 programme), French Ministry of Health (DGS), French Ministry of Research, INSERM Bone and Joint Diseases National Research (PRO-A) and Human Nutrition National Research Programs, Paris-Sud University, Nestlé, French National Institute for Population Health Surveillance (InVS), French National Institute for Health Education (INPES), the European Union FP7 programmes (FP7/2007-2013, HELIX, ESCAPE, ENRIECO, MeDALL projects), Diabetes National Research Program (in collaboration with the French Association of Diabetic Patients (AFD)), French Agency for Environmental Health Safety (now ANSES), Mutuelle Générale de l'Education Nationale complementary health insurance (MGEN), French national agency for food security, and French speaking association for the study of diabetes and metabolism (ALFEDIAM). The funding source had no involvement in the conception of the present study. FLEHS: This study was conducted within the framework of the Flemish Centre of Expertise on Environment and Health, funded by the Dept of the Environment of the Flemish Government, Flemish Agency of Care and Health, and Flemish Dept of Economy, Science and Innovation. GASPII: The GASPII cohort was funded by the Italian Ministry of Health (2001), the research leading to these results has received funding from the European Community's Seventh Framework Program under grant agreement 261357 (MeDALL). Generation R: This study was funded by Erasmus MC Rotterdam, Erasmus University Rotterdam and the Netherlands Organisation for Health Research and Development. V.W.V. Jaddoe received a grant from the European Research Council (ERC-2014-CoG-648916). L. Duijts received funding from cofunded ERA-Net on Biomarkers for Nutrition and Health (ERA HDHL), Horizon 2020 (696295; 2017), the Netherlands Organisation for Health Research and Development (ZonMw; 529051014; 2017), Science Foundation Ireland (SFI/16/ERA-HDHL/3360), and European Union (ALPHABET project). The project received funding from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, 733206, 2016; EUCAN-Connect 824989; ATHLETE, 874583). The researchers are independent from the funders. The study sponsors had no role in the study design, data analysis, interpretation of data or writing of this report. Generation XXI: Generation XXI was supported by the European Regional Development Fund (ERDF) through the Operational Programme Competitiveness and Internationalization and national funding from the Foundation for Science and Technology (FCT), Portuguese Ministry of Science, Technology and Higher Education, and by the Unidade de Investigação em Epidemiologia – Instituto de Saúde Pública da Universidade do Porto (EPIUnit) (UIDB/04750/2020), Administração Regional de Saúde Norte (Regional Dept of Ministry of Health) and Fundação Calouste Gulbenkian. A.C. Santos is founded by FCT Investigator contracts IF/01060/2015. GINI: The GINIplus study was mainly supported for the first 3 years by the Federal Ministry for Education, Science, Research and Technology (interventional arm) and Helmholtz Zentrum München (former GSF) (observational arm). The 4- and 6-year follow-up examinations of the GINIplus study were covered from the respective budgets of the five study centres (Helmholtz Zentrum München (former GSF), Research Institute at Marien-Hospital, Wesel, LMU Munich, TU Munich and from 6 years onwards also from IUF – Leibniz Research Institute for Environmental Medicine at the University of Düsseldorf). HUMIS: We thank all mothers for participating in the HUMIS study. HUMIS was funded by a grant from the Norwegian Research Council (226402). The HUMIS study was approved by the Norwegian Data Inspectorate (2002/1398) and by the Regional Ethics Committee for Medical Research in Norway (S-02122), and the specific use in the current study was approved by the Ethics Committee as well (2010/1259/REK sør-øst). INMA: Gipuzkoa: This study was funded by grants from Instituto de Salud Carlos III (FIS-PI09/00090, FIS-PI18/01142 including FEDER funds), CIBERESP, Dept of Health of the Basque Government (2013111089) and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia and Beasain). Menorca: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; 97/0588; 00/0021-2, PI061756; PS0901958, PI14/00677 including FEDER funds), CIBERESP, Beca de la IV convocatoria de Ayudas a la Investigación en Enfemerdades Neurodegeneratives de La Caixa, and EC contract QLK4-CT-200-00263. Sabadell: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; PI041436; PI081151 including FEDER funds), Generalitat de Catalunya-CIRIT 1999SGR 00241 and Fundació La marató de TV3 (090430). ISGlobal is a member of the CERCA Programme, Generalitat de Catalunya. M. Casas holds a Miguel Servet fellowship (CP16/00128) funded by Instituto de Salud Carlos III and cofunded by the European Social Fund “Investing in your future”. Valencia: This study was funded by grants from the European Union (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1), Spain: Instituto de Salud Carlos III (Red INMA G03/176, CB06/02/0041; FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI05/1079, PI05/1052, PI06/1213, PI07/0314, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI14/00891, PI14/01687, PI16/1288, PI17/00663; Miguel Servet-FEDER CP11/00178, CP15/00025, CPII16/00051), Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, UGP-15-249), and Alicia Koplowitz Foundation 2017. Isle of Wight: This study was funded by grants from the National Institutes of Health USA (R01HL082925), Asthma UK (364), Isle of Wight NHS Trust and the British Medical Association. KOALA: The collection of data relevant for this study was funded by grants from the Netherlands Organisation for Health Research and Development (ZonMw; 2100.0090) and the Netherlands Asthma Foundation (3.2.03.48, 3.2.07.022). The researchers are independent from the funders. The funders had no role in the study design, data analysis, interpretation of data or writing of this report. We thank the children and parents for their participation in the KOALA study. LRC (Leicestershire Respiratory Cohorts): This study was funded by grants from the Swiss National Science Foundation (SNF: 320030-182628, 320030-162820, 3233-069348, 3200-069349) and Asthma UK 07/048. Lifeways Cross-Generation Cohort Study: This study was funded by the Health Research Board, Ireland, and the Irish Dept of Health and Children's Health Promotion Policy Unit. LISA: The LISA study was mainly supported by grants from the Federal Ministry for Education, Science, Research and Technology and in addition from Helmholtz Zentrum München (former GSF), Helmholtz Centre for Environmental Research – UFZ, Leipzig, Research Institute at Marien-Hospital Bad Honnef for the first 2 years. The 4-, 6-, 10- and 15-year follow-up examinations of the LISA study were covered from the respective budgets of the involved partners (Helmholtz Zentrum München (former GSF), Helmholtz Centre for Environmental Research – UFZ, Leipzig, Research Institute at Marien-Hospital Wesel, Pediatric Practice, Bad Honnef, IUF – Leibniz Research Institute for Environmental Medicine at the University of Düsseldorf) and in addition by a grant from the Federal Ministry for Environment (IUF Düsseldorf, FKZ 20462296). Further, the 15-year follow-up examination of the LISA study was supported by the Commission of the European Communities, the Seventh Framework Program: MeDALL project. This project has received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (949906). LucKi: LucKi is supported by Child and Youth Health Care Zuyderland, Public Health Service South Limburg and Maastricht University. We thank all parents and children for their participation in LucKi. LUKAS: This study was funded by research grants from the Academy of Finland (139021, 287675, 296814, 296817, 308254); Juho Vainio Foundation; EVO/VTR funding; Päivikki and Sakari Sohlberg Foundation; Farmers’ Social Insurance Institution (Mela); Finnish Cultural Foundation; Foundation for Pediatric Research; European Union QLK4-CT-2001-00250; and Finnish Institute for Health and Welfare, Finland. MAS-90: This study was funded by grants from the German Federal Ministry of Education and Research (MBMF; 07015633m 07ALE27, 01EE9405/5, 01EE9406) and the German Research Foundation (DFG; KE1462/2-1). Millennium Cohort Study: This study was funded by the Economic and Social Research Council and a consortium of UK government funders. We are grateful to the participating families and the Centre for Longitudinal Studies (CLS), UCL Institute of Education, for the use of these data and to the UK Data Service for making them available. However, neither CLS nor the UK Data Service bear any responsibility for the analysis or interpretation of these data. This work was supported by the Welcome Trust (187389/B/08/Z). MoBa: The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and Ministry of Education and Research. We are grateful to all the participating families in Norway who take part in this ongoing cohort study. This research was supported by the Research Council of Norway through its Centres of Excellence funding scheme (262700). NINFEA: The authors are grateful to all the participants of the NINFEA cohort. The NINFEA study was partially funded by the Compagnia San Paolo Foundation. This research was partially funded by the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, 733206). PELAGIE: We are grateful to the families who participated and continue to participate in the study. The cohort is supported by INSERM and received funding from the French National Research Agency, Fondation de France, French Agency for Food, Environmental and Occupational Health & Safety, National Institute for Public Health Surveillance (InVS), French Ministry of Labour, and French Ministry of Ecology. PIAMA: This study was funded by the Netherlands Organisation of Health Research and Development, Netherlands Organisation for Scientific Research, Netherlands Asthma Fund, Netherlands Ministry of Spatial Planning, Housing and the Environment, and Netherlands Ministry of Health, Welfare and Sport. REPRO_PL: This study was funded by the National Science Center Poland (DEC-2014/15/B/N27/00998). Rhea: This study was funded by the European Union Social Fund and the Hellenic Ministry of Health (“Program of prevention and early diagnosis of obesity and neurodevelopment disorders in preschool age children in the prefecture of Heraklion, Crete, Greece”; MIS 349580, NSRF 2007–2013). Additional funding from the National Institute of Environmental Health Sciences (NIEHS) supported L. Chatzi (R01ES030691, R01ES029944, R01ES030364, R21ES029681, R21ES028903, P30ES007048). STEPS: This study was funded by the University of Turku, Abo Akademi University, Turku University Hospital, Academy of Finland (123571, 140251, 277535) and Foundation for Pediatric Research Finland. SWS: This study was funded by the Medical Research Council, British Heart Foundation, Arthritis Research UK, Food Standards Agency, NIHR Southampton Biomedical Research Centre and the European Union's Seventh Framework Programme (FP7/2007–2013), project EarlyNutrition (289346), and the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, 733206). WHISTLER: The WHISTLER birth cohort was supported with a grant from the Netherlands Organisation for Health Research and Development (2001-1-1322) and by an unrestricted grant from GlaxoSmithKline Netherlands. GlaxoSmithKline had no role in study design, in the collection, analysis and interpretation of data, in the writing of the report, and in the decision to submit the report for publication. WHISTLER-Cardio was supported with an unrestricted strategic grant from the University Medical Center Utrecht (UMCU).

International audience; The paper presents results from the Collaborative Computational Project in Wave Structure Interaction (CCP-WSI) Blind Test Series 2. Without prior access to the physical data, participants, with numerical methods ranging from low-fidelity linear models to fully non-linear Navier–Stokes (NS) solvers, simulate the interaction between focused wave events and two separate, taut-moored, floating structures: a hemispherical-bottomed cylinder and a cylinder with a moonpool. The ‘blind’ numerical predictions for heave, surge, pitch and mooring load, are compared against physical measurements. Dynamic time warping is used to quantify the predictive capability of participating methods. In general, NS solvers and hybrid methods give more accurate predictions; however, heave amplitude is predicted reasonably well by all methods; and a WEC-Sim implementation, with CFD-informed viscous terms, demonstrates comparable predictive capability to even the stronger NS solvers. Large variations in the solutions are observed (even among similar methods), highlighting a need for standardisation in the numerical modelling of WSI problems.

International audience; This paper studies wave influence on two horizontal axis tidal turbines from industrial partners : Sabella and Magallanes. The trials have been performed in a wave and current flume tank where upstream flow conditions have been monitored thanks to Laser Doppler Velocimetry. Mean velocity is computed withrotor disc integration of the velocity profile. Wave amplitude and orbital amplitude are computed thanks to least mean square method.A special attention has been paid to turbine immersion depth. Performance and blade root loads analysis highlight higher fluctuations when the turbine is close to the free surface.When a turbine is close to the free surface, the edgewise moment fluctuations can reach 100 % of the mean effort under combined wave and turbulence loading. Wave is responsible for half part of these fluctuations.; Dans ce papier est étudiée expérimentalement l’influence de la houle et du courant combinés sur le comportement de deux hydroliennes à axe horizontal pré-commerciales. Les essais sont réalisés dans un bassin à houle et courant où les conditions d’essais sont obtenues par vélocimétrie laser. La vitesse moyenne de l’écoulement est calculée par intégration sur le disque rotor. Les amplitudes de houle et les orbitales de vague sont déterminées par méthode des moindre carrés.Une attention particulière est apportée sur l’influence de la profondeur d’immersion des turbines. L’analyse des performances et des efforts sur les pales met en évidence une augmentation des fluctuations d’efforts avec la diminution de la profondeur.Le moment de mise en rotation en pied de pale sur une turbine subit des fluctuations allant jusqu’à 100 % de l’effort moyen sous l’effet de la houle et de la turbulence lorsque la turbine est proche de la surface libre. La houle est responsable de la moitié de cette fluctuation.

The in vitro comet assay is a widely applied method for investigating genotoxicity of chemicals including engineered nanomaterials (NMs). A big challenge in hazard assessment of NMs is possible interference between the NMs and reagents or read-out of the test assay, leading to a risk of biased results. Here, we describe both the standard alkaline version of the in vitro comet assay with 12 mini-gels per slide for detection of DNA strand breaks and the enzyme-modified version that allows detection of oxidized DNA bases by applying lesion-specific endonucleases (e.g., formamidopyrimidine DNA glycosylase or endonuclease III). We highlight critical points that need to be taken into consideration when assessing the genotoxicity of NMs, as well as basic methodological considerations, such as the importance of carrying out physicochemical characterization of the NMs and investigating uptake and cytotoxicity. Also, experimental design-including treatment conditions, cell number, cell culture, format and volume of medium on the plate-is crucial and can have an impact on the results, especially when testing NMs. Toxicity of NMs depends upon physicochemical properties that change depending on the environment. To facilitate testing of numerous NMs with distinct modifications, the higher throughput miniaturized version of the comet assay is essential. ispartof: FRONTIERS IN TOXICOLOGY vol:4 ispartof: location:Switzerland status: published

In discontinuous Galerkin spectral element methods (DGSEM), the two most common approaches to numerically integrate the terms of the weak form are either using Gauss-Legendre or Gauss-Lobatto quadratures. The former yields more accurate results but at a higher computational cost, so that a priori it is not clear whether one approach is more efficient that the other. In this paper, it is shown (theoretically for a particular case and numerically for the general case) that using Gauss-Lobatto quadrature for the convection matrix actually introduces a negligible error. In contrast, using Gauss-Lobatto quadratures for the evaluation of the jump term in the element faces introduces a sizeable error. This leads to the proposal of a new DG approach, where the convection matrix is evaluated using Gauss-Lobatto quadratures, whereas the face mass matrices are integrated using Gauss-Legendre quadratures. For elements with constant Jacobian and constant coefficients, a formal proof shows that no numerical integration error is actually introduced in the evaluation of the residual, even though both the mass and the convection matrices are not computed exactly with Gauss-Lobatto quadratures. For elements with non-constant Jacobian and/or non-constant coefficients, the impact of numerical integration error on the overall error is evaluated through a series of numerical tests, showing that this is also negligible. In addition, the computational cost associated to the matrix-vector products required to evaluate the residual is evaluated precisely for the different cases considered. The proposed approach is particularly attractive in the most general case, since the use of Gauss-Lobatto quadratures significantly speeds-up the evaluation of the residual.

International audience

Many studies have investigated the impact of the COVID-19 pandemic on mental health. Throughout the pandemic, time spent at home increased to a great extent due to restrictive measures. Here we set out to investigate the relationship between housing conditions and the mental health of populations across European countries. We analyzed survey data collected during spring 2020 from 69,136 individuals from four cohorts from Denmark, France, and the UK. The investigated housing conditions included household density, composition, and crowding, access to outdoor facilities, dwelling type, and urbanicity. The outcomes were loneliness, anxiety, and life satisfaction. Logistic regression models were used, and results were pooled using random-effects meta-analysis. In the meta-analysis, living alone was associated with higher levels of loneliness (OR = 3.08, 95% CI 1.87–5.07), and lower life satisfaction (OR = 1.27, 95% CI 1.05–0.55), compared to living with others. Not having access to an outdoor space and household crowding were suggestively associated with worse outcomes. Living in crowded households, living alone, or lacking access to outdoor facilities may be particularly important in contributing to poor mental health during a lockdown. Addressing the observed fundamental issues related to housing conditions within society will likely have positive effects in reducing social inequalities, as well as improving preparedness for future pandemics.

Precisely detecting solar active regions (AR) from multi-spectral images is a challenging task yet important in understanding solar activity and its influence on space weather. A main challenge comes from each modality capturing a different location of these 3D objects, as opposed to more traditional multi-spectral imaging scenarios where all image bands observe the same scene. We present a multi-task deep learning framework that exploits the dependencies between image bands to produce 3D AR detection where different image bands (and physical locations) each have their own set of results. Different feature fusion strategies are investigated in this work, where information from different image modalities is aggregated at different semantic levels throughout the network. This allows the network to benefit from the joint analysis while preserving the band-specific information. We compare our detection method against baseline approaches for solar image analysis (multi-channel coronal hole detection, SPOCA for ARs (Verbeeck et al. Astron Astrophys 561:16, 2013)) and a state-of-the-art deep learning method (Faster RCNN) and show enhanced performances in detecting ARs jointly from multiple bands. We also evaluate our proposed approach on synthetic data of similar spatial configurations obtained from annotated multi-modal magnetic resonance images.

Despite the implication of aerosols for the radiation budget, there are persistent differences in data for the aerosol optical depth (τ) for 1998–2019. This study presents a comprehensive evaluation of the large‐scale spatio‐temporal patterns of mid‐visible τ from modern data sets. In total, we assessed 94 different global data sets from eight satellite retrievals, four aerosol‐climate model ensembles, one operational ensemble product, two reanalyses, one climatology and one merged satellite product. We include the new satellite data SLSTR and aerosol‐climate simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and the Aerosol Comparisons between Observations and Models Phase 3 (AeroCom‐III). Our intercomparison highlights model differences and observational uncertainty. Spatial mean τ for 60°N – 60°S ranges from 0.124 to 0.164 for individual satellites, with a mean of 0.14. Averaged τ from aerosol‐climate model ensembles fall within this satellite range, but individual models do not. Our assessment suggests no systematic improvement compared to CMIP5 and AeroCom‐I. Although some regional biases have been reduced, τ from both CMIP6 and AeroCom‐III are for instance substantially larger along extra‐tropical storm tracks compared to the satellite products. The considerable uncertainty in observed τ implies that a model evaluation based on a single satellite product might draw biased conclusions. This underlines the need for continued efforts to improve both model and satellite estimates of τ, for example, through measurement campaigns in areas of particularly uncertain satellite estimates identified in this study, to facilitate a better understanding of aerosol effects in the Earth system., Plain Language Summary: Aerosols are known to affect atmospheric processes. For instance, particles emitted during dust storms, biomass burning and anthropogenic activities affect air quality and influence the climate through effects on solar radiation and clouds. Although many studies address such aerosol effects, there is a persistent difference in current estimates of the amount of aerosols in the atmosphere across observations and complex climate models. This study documents the data differences for aerosol amounts, including new estimates from climate‐model simulations and satellite products. We quantify considerable differences across aerosol amount estimates as well as regional and seasonal variations of extended and new data. Further, this study addresses the question to what extent complex climate models have improved over the past decades in light of observational uncertainty., Key Points: Present‐day patterns in aerosol optical depth differ substantially between 94 modern global data sets. The range in spatial means from individual satellites is −11% to +17% of the multi‐satellite mean. Spatial means from climate model intercomparison projects fall within the satellite range but strong regional differences are identified., Hans‐Ertel‐Center for Weather Research, Collaborative Research Centre 1211, Max‐Planck‐Institute for Meteorology

International audience; This paper studies wave influence on two horizontal axis tidal turbines developed by industrial partners: Sabella and Magallanes Renovables. The trials are performed in a wave and current flume tank where upstream flow conditions are monitored thanks to Laser Doppler Velocimetry. Wave amplitude and orbital amplitude are computed thanks to least mean square method. The turbulence is analysed through its intensity and a power spectral density point of view. A special attention is paid to turbine immersion depth. Global torque and thrust are analyzed in the frequency domain thanks to power spectral density and magnitude square coherence. Wave generates a strong torque and thrust fluctuation level of the same order as the mean effort level. Both torque and thrust respond to wave at wave and twice the wave frequency for all turbines whatever the immersion.

FNEGE 3, HCERES A, ABS 2; International audience; The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (such as, Second Life, Fortnite, Roblox and VRChat) have been described as antecedents of the metaverse and offer some insight to the potential socio-economic impact of a fully functional persistent cross platform metaverse. Separating the hype and “meta…” rebranding from current reality is difficult, as “big tech” paints a picture of the transformative nature of the metaverse and how it will positively impact people in their work, leisure, and social interaction. The potential impact on the way we conduct business, interact with brands and others, and develop shared experiences is likely to be transformational as the distinct lines between physical and digital are likely to be somewhat blurred from current perceptions. However, although the technology and infrastructure does not yet exist to allow the development of new immersive virtual worlds at scale - one that our avatars could transcend across platforms, researchers are increasingly examining the transformative impact of the metaverse. Impacted sectors include marketing, education, healthcare as well as societal effects relating to social interaction factors from widespread adoption, and issues relating to trust, privacy, bias, disinformation, application of law as well as psychological aspects linked to addiction and impact on vulnerable people. This study examines these topics in detail by combining the informed narrative and multi-perspective approach from experts with varied disciplinary backgrounds on many aspects of the metaverse and its transformational impact. The paper concludes by proposing a future research agenda that is valuable for researchers, professionals and policy makers alike.

International audience; Explosive activity preceding the ~40 ka Campanian Ignimbrite (CI) eruption in the Neapolitan volcanic area, Southern Italy, has long been speculated based on the occurrences of widespread tephra layers, with a Campanian geochemical signature, such as the C-22, X-5, and X-6, preserved in Mediterranean Marine Isotope Stage (MIS) 5 sedimentary records. However, previous studies of pre-CI pyroclastic units occurring in close proximity of the Neapolitan volcanoes, including Campi Flegrei, Somma-Vesuvius, Ischia and Procida islands, did not allow a conclusive identification of the near-source equivalents of these tephra markers. Here we present a comprehensive characterization of four pyroclastic units from the Campanian Plain, comprising major and trace element glass compositions, Sr[sbnd]Nd isotopes and 40Ar/39Ar dating. Our data allowed the identification of the medial equivalents of the MIS 5 tephra markers, including the widespread C-22, X-5, and X-6 tephra, and their assignment to previously undocumented Campi Flegrei activity between 109 and 92 ka. In addition to substantially extending Campi Flegrei explosive activity deeper in time, and thus providing the basis for a revaluation of its history, our findings provide new precise radioisotopic dating to better constrain the chronology of the millennial scale climatic oscillations of the MIS 5c-d in the Mediterranean area and possibly on a larger scale.