738 research outputs found

    In Memoriam Professor Alexander M. Stuyt (1911-2007)

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    In Memoriam Professor Hans Verheul (1928-2011)

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    Fifty years NILR 1953-2003, As Time Goes By - Tempora Mutantur

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    O questionário no plenário do júri

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    Versa sobre a alteração no procedimento relativo aos processos da competência do Jurí na formulação e ordem dos quesitos

    Gestapeld recht

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    Het internationale geldingsbereik van afdeling 6.5.2A Nieuw BW inzake algemene voorwaarden

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    On First-Order Generalized Maxwell Equations

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    The generalized Maxwell equations including an additional scalar field are considered in the first-order formalism. The gauge invariance of the Lagrangian and equations is broken resulting the appearance of a scalar field. We find the canonical and symmetrical Belinfante energy-momentum tensors. It is shown that the traces of the energy-momentum tensors are not equal to zero and the dilatation symmetry is broken in the theory considered. The matrix Hamiltonian form of equations is obtained after the exclusion of the nondynamical components. The canonical quantization is performed and the propagator of the fields is found in the first-order formalism.Comment: 14 pages, corrections in Eq.(38),(39),(59

    The role of smoking in social networks on smoking cessation and relapse among adults: A longitudinal study

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    Understanding the spread of smoking cessation and relapse within social networks may offer new approaches to further curb the smoking epidemic. Whether smoking behavior among social network members determines smoking cessation and relapse of adults however, is less known. For this study, longitudinal data of 4623 adults participating in the Dutch Longitudinal Internet Studies for the Social sciences (LISS) panel were collected in March 2013 with a follow-up in 2014. Logistic regression was used to examine the association between the proportion of smokers in social networks, and (1) smoking cessation (n = 762) and (2) smoking relapse (n = 1905). Analyses were adjusted for the size of the network, age, sex, and education. Respondents with the largest proportion of smokers in their social network were less likely to quit smoking (OR = 0.25; 95% CI = 0.11–0.66) and more likely to experience a relapse (6.08; 3.01–12.00). Smoking cessation and relapse were most strongly associated with the proportion of smokers among household members and friends. The proportion of smokers in family outside the household was not related to smoking cessation and smoking relapse. In conclusion, smoking behavior in social networks, especially among household members and friends, is strongly associated with smoking cessation and relapse. These findings further support the spread of smoking within social networks, and provide evidence for network-based interventions, particularly including household members and friends
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