2,128 research outputs found

    Software Design with the Rapid Prototyping Approach

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    Attractiveness as a Function of Skin Tone and Facial Features: Evidence From Categorization Studies

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    Participants rated the attractiveness and racial typicality of male faces varying in their facial features from Afrocentric to Eurocentric and in skin tone from dark to light in two experiments. Experiment 1 provided evidence that facial features and skin tone have an interactive effect on perceptions of attractiveness and mixed-race faces are perceived as more attractive than single-race faces. Experiment 2 further confirmed that faces with medium levels of skin tone and facial features are perceived as more attractive than faces with extreme levels of these factors. Black phenotypes (combinations of dark skin tone and Afrocentric facial features) were rated as more attractive than White phenotypes (combinations of light skin tone and Eurocentric facial features); ambiguous faces (combinations of Afrocentric and Eurocentric physiognomy) with medium levels of skin tone were rated as the most attractive in Experiment 2. Perceptions of attractiveness were relatively independent of racial categorization in both experiments

    Pictorial Race Activiation In Priming Measures

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    This review explores characteristics of facial primes employed in priming studies of racial prejudice and stereotyping. It addresses the role of perceptual, cue-based processing of visual stimuli characteristics in altering racial typicality, and the effects of different moderators. The authors document the nature of variability in primes and moderators used in priming studies (N = 96) up to 2009. Methodological and conceptual implications are discussed, along with gaps in the field. Better control over facial primes employed, more accuracy in reporting and open access to procedural information are suggested in an effort to improve the state of racial priming research

    How to achieve a healthier and more sustainable europe by 2040 according to the public? Results of a five-country questionnaire survey

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    The aim of this paper is to understand public preferences for several future scenarios of achieving a healthier, more equitable and sustainable Europe, which differ in the way the society is organized (individualistically vs. collectively) and in the driving sector (public vs. private). To achieve this aim, we conducted a questionnaire survey using representative samples for five European countries in 2018. About three thousand respondents chose among the four scenarios presented within four different contexts (green spaces, active mobility, energy-efficient housing, food consumption) or none of them. A majority of people in the five European countries were ready to accept one of the scenarios. We found significant differences in preferences according to socioeconomic backgrounds and values of respondents. People above 35 years old, those who were less educated, and those in the lowest household income tertile were less supportive of all scenarios. The heterogeneity in preferences associated with differences in socioeconomic backgrounds was larger for the scenario in which society is organized individualistically and driven by the private sector. Smaller distinctions were found in case of the scenario in which society is organized collectively and is driven by the public sector. Departing from social psychological theories, we examine the role of altruistic, biospheric, egoistic, hedonic, and security values. People with stronger biospheric values were more likely to accept scenarios, particularly those which are driven by the public sector and where there is more collective organisation. Those with a more egoistic value orientation were more likely to have higher preferences for scenarios where the private sector had a dominant role. The policy implications, in terms of the selection and framing of policy measures to enhance public support, are discussed.info:eu-repo/semantics/publishedVersio

    Dynamics of conflicts in Wikipedia

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    In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previously established algorithm, we build up samples of controversial and peaceful articles and analyze the temporal characteristics of the activity in these samples. On short time scales, we show that there is a clear correspondence between conflict and burstiness of activity patterns, and that memory effects play an important role in controversies. On long time scales, we identify three distinct developmental patterns for the overall behavior of the articles. We are able to distinguish cases eventually leading to consensus from those cases where a compromise is far from achievable. Finally, we analyze discussion networks and conclude that edit wars are mainly fought by few editors only.Comment: Supporting information adde

    Observation of D0ρ0γD^0\to \rho^0\gamma and search for CPCP violation in radiative charm decays

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    We report the first observation of the radiative charm decay D0ρ0γD^0 \to \rho^0 \gamma and the first search for CPCP violation in decays D0ρ0γD^0 \to \rho^0 \gamma, ϕγ\phi\gamma, and K0γ\overline{K}{}^{*0} \gamma, using a data sample of 943 fb1^{-1} collected with the Belle detector at the KEKB asymmetric-energy e+ee^+e^- collider. The branching fraction is measured to be B(D0ρ0γ)=(1.77±0.30±0.07)×105\mathcal{B}(D^0 \to \rho^0 \gamma)=(1.77 \pm 0.30 \pm 0.07) \times 10^{-5}, where the first uncertainty is statistical and the second is systematic. The obtained CPCP asymmetries, ACP(D0ρ0γ)=+0.056±0.152±0.006\mathcal{A}_{CP}(D^0 \to \rho^0 \gamma)=+0.056 \pm 0.152 \pm 0.006, ACP(D0ϕγ)=0.094±0.066±0.001\mathcal{A}_{CP}(D^0 \to \phi \gamma)=-0.094 \pm 0.066 \pm 0.001, and ACP(D0K0γ)=0.003±0.020±0.000\mathcal{A}_{CP}(D^0 \to \overline{K}{}^{*0} \gamma)=-0.003 \pm 0.020 \pm 0.000, are consistent with no CPCP violation. We also present an improved measurement of the branching fractions B(D0ϕγ)=(2.76±0.19±0.10)×105\mathcal{B}(D^0 \to \phi \gamma)=(2.76 \pm 0.19 \pm 0.10) \times 10^{-5} and B(D0K0γ)=(4.66±0.21±0.21)×104\mathcal{B}(D^0 \to \overline{K}{}^{*0} \gamma)=(4.66 \pm 0.21 \pm 0.21) \times 10^{-4}
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