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    Gender differences in financial literacy in Italy. Exploratory explanations

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    The study of gender differences in financial literacy (and, more broadly, in financial socialization patterns) is considered as very relevant nowadays for various reasons. Firstly because, as shown by various research carried out in Western countries, the recent financial downturn has strongly affected women, increasing their chance of running into poverty, especially for women who are single- parents, divorced, widowed and/or elderly. Secondly because, despite increasing their level of education and presence in the workplace, women still have lower earnings and levels of pension benefit. How can we explain this gender difference which seems only to widen from adolescence to adulthood? In this paper we will try to answer this question, though shortly, by drawing on relevant literature from psychological and sociological theories

    Transient energy growth modulation by temperature dependent transport properties in a stratified plane Poiseuille flow

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    We investigate the effect of temperature dependent thermal conductivity λ and isobaric specific heat c_P on the transient amplification of perturbations in a thermally stratified laminar plane Poiseuille flow. It is shown that for decreasing thermal conductivity the maximum transient energy growth is amplified with respect to the λ=1 case, while the opposite occurs for increasing λ. A reversed mechanism is induced by a variable c_p. Substantial maximum growth enhancement/suppression is found in the range of Prandtl numbers Pr which encompasses most fluids of practical interest. The relative growth modulation shows an optimum Pr under spanwise perturbations. For energy amplifying property distributions a speed-up of the transient to reach the maximum energy growth is observed at low Pr, while a slow-down is found at large Pr. The opposite is true when the property variations suppress the growth of perturbations

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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