70 research outputs found

    Grain Surface Models and Data for Astrochemistry

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    AbstractThe cross-disciplinary field of astrochemistry exists to understand the formation, destruction, and survival of molecules in astrophysical environments. Molecules in space are synthesized via a large variety of gas-phase reactions, and reactions on dust-grain surfaces, where the surface acts as a catalyst. A broad consensus has been reached in the astrochemistry community on how to suitably treat gas-phase processes in models, and also on how to present the necessary reaction data in databases; however, no such consensus has yet been reached for grain-surface processes. A team of ∌25 experts covering observational, laboratory and theoretical (astro)chemistry met in summer of 2014 at the Lorentz Center in Leiden with the aim to provide solutions for this problem and to review the current state-of-the-art of grain surface models, both in terms of technical implementation into models as well as the most up-to-date information available from experiments and chemical computations. This review builds on the results of this workshop and gives an outlook for future directions

    Animal models for COVID-19

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    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the aetiological agent of coronavirus disease 2019 (COVID-19), an emerging respiratory infection caused by the introduction of a novel coronavirus into humans late in 2019 (first detected in Hubei province, China). As of 18 September 2020, SARS-CoV-2 has spread to 215 countries, has infected more than 30 million people and has caused more than 950,000 deaths. As humans do not have pre-existing immunity to SARS-CoV-2, there is an urgent need to develop therapeutic agents and vaccines to mitigate the current pandemic and to prevent the re-emergence of COVID-19. In February 2020, the World Health Organization (WHO) assembled an international panel to develop animal models for COVID-19 to accelerate the testing of vaccines and therapeutic agents. Here we summarize the findings to date and provides relevant information for preclinical testing of vaccine candidates and therapeutic agents for COVID-19

    The Sample Analysis at Mars Investigation and Instrument Suite

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    Auroral Processes at the Giant Planets: Energy Deposition, Emission Mechanisms, Morphology and Spectra

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    Human Nutrition and Atmospheric Change

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    Labor market participation in France: an asymptotic least squares analysis of couples’ decisions

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    This paper examines the interactions between spouses’ decisions to join the labor force. We use the asymptotic least squares method in order to estimate a system of equations with limited dependent variables. We find that when spouse’s decision-making is modeled as simultaneous, this affects primarily the man’s participation equation who appears to be positively influenced by whether the woman works or not, by the number of children and by the birth of a child. The woman’s decision to participate is not affected by whether the man participates or not and depends negatively of the number of children and the birth of a child. This implies that there is a female leadership in decisions to participate in the labor market and that the added-worker effect should be reinterpreted as a function of demography rather than unemployment. Copyright Springer Science+Business Media, LLC 2007Labor supply, Labor market participation, Couples, Asymptotic least squares, C35, D13, J12, J22,

    Frames and Games

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