252 research outputs found

    A special introduction / David L. Uzzell

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    The launch of a new journal is always an exciting occasion. Of course, it is a very tangible sign that an area of scholarship is developing and that there is a body of work being undertaken that is of sufficiently high standard that warrants publication. It is also very auspicious, to use a word that I am very conscious has important meanings in Asian cultures. It is auspicious because it makes a statement not only about the present - and indeed past research - but it looks to the future as well. It is a statement of commitment and of confidence that this area of scholarly endeavour is important

    Does perception of automation undermine pro-environmental behaviour? Findings from three everyday settings

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    The global deployment of technology to aid mitigation of climate change has great potential but the realisation of much of this potential depends on behavioural response. A culturally pervasive reliance on and belief in technology raises the risk that dependence on technology will hamper human actions of mitigation. Theory suggests that ‘green’ behaviour may be undermined by automated technology but empirical investigation has been lacking. We examined the effect of the prospect of automation on three everyday behaviours with environmental impact. Based on evidence from observational and experimental studies, we demonstrated that the prospect of automation can undermine even simple actions for sustainability. Further, we examined the process by which automated technology influences behaviour and suggest that automation may impair personal responsibility for action

    Making Room for Zoom in Focus Group Methods: Opportunities and Challenges for Novice Researchers (During and Beyond COVID-19)

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    Als die COVID-19-Pandemie über die Welt hereinbrach, waren viele Menschen gezwungen, sich auf online-basierte Routinen einzustellen, darunter auch qualitative Forscher*innen, die nach alternativen Möglichkeiten zur Erhebung aussagekräftiger Daten suchten. Während Fokusgruppen traditionell Face to Face durchgeführt werden, bieten Fortschritte bei Online-Videokonferenzanwendungen neue Methoden zur Datenerhebung, die jedoch bisher nur selten untersucht wurden. In diesem Artikel berichten wir über die Erfahrungen von 12 Doktorand*innen mit der Durchführung von Fokusgruppen unter Verwendung von Zoom im Rahmen eines Kurses zu qualitativen Interviewmethoden. Wir reflektieren Chancen und Herausforderungen, die wir als Moderator*innen und Teilnehmer*innen bei der Nutzung von Zoom erlebten z.B. bei der Vorbereitung oder in Bezug auf Rapport, die Einbindung anderer digitaler Tools und von Internetverbindungen. Zusammenfassend lässt sich sagen, dass die Durchführung von Online-Fokusgruppen unter Verwendung von Zoom insgesamt eine positive Erfahrung war und mit Face-to-Face-Fokusgruppen vergleichbar ist. Möglichkeiten der Teilnehmer*innenrekrutierung, die Sicherheitsmerkmale von Zoom und die Nutzung von Zoom und allgemeiner neuen Technologien sollten auch jenseits der Pandemie weiter erforscht werden.As the COVID-19 pandemic swept through the world, it forced many people to adapt to an online-based routine, including qualitative researchers looking for alternative ways to collect meaningful data. While focus groups are traditionally conducted in-person, advances with online videoconferencing applications present a new method to collect data, however, few studies have explored this. In this article we present 12 doctoral students' experiences with conducting focus groups using the videoconferencing application Zoom during a qualitative methods course on interviewing methods. Through this self-study qualitative analysis, participants reflected on the opportunities and challenges experienced as both moderators and participants using Zoom including: preparation, rapport, incorporating other digital tools, and internet connectivity. In conclusion, doing focus groups online using Zoom was a positive experience overall and comparable to in-person focus groups for collecting qualitative data, despite the introduction of technology. More research on participant recruitment, new technology, Zoom's security features, and Zoom's use outside of a pandemic should be further explored

    Patrimoine de marque : le passé au service du management de la marque

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    Researchers and practitioners talk about brand heritage even though its meaning and its difference from related concepts are not entirely clear. Through a review of the multidisciplinary literature, this article distinguishes brand heritage from the concepts of inheritance, retro, nostalgia, and authenticity. This article defines brand heritage as a dynamic construct based on an inherited or borrowed past, with a view to supporting brand identity and being transmitted. A total of 11 research propositions are presented within an inclusive framework that paves the way for future research and contributes to research on brand management and the role of consumers in creating value

    From Spiking Neuron Models to Linear-Nonlinear Models

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    Neurons transform time-varying inputs into action potentials emitted stochastically at a time dependent rate. The mapping from current input to output firing rate is often represented with the help of phenomenological models such as the linear-nonlinear (LN) cascade, in which the output firing rate is estimated by applying to the input successively a linear temporal filter and a static non-linear transformation. These simplified models leave out the biophysical details of action potential generation. It is not a priori clear to which extent the input-output mapping of biophysically more realistic, spiking neuron models can be reduced to a simple linear-nonlinear cascade. Here we investigate this question for the leaky integrate-and-fire (LIF), exponential integrate-and-fire (EIF) and conductance-based Wang-Buzsáki models in presence of background synaptic activity. We exploit available analytic results for these models to determine the corresponding linear filter and static non-linearity in a parameter-free form. We show that the obtained functions are identical to the linear filter and static non-linearity determined using standard reverse correlation analysis. We then quantitatively compare the output of the corresponding linear-nonlinear cascade with numerical simulations of spiking neurons, systematically varying the parameters of input signal and background noise. We find that the LN cascade provides accurate estimates of the firing rates of spiking neurons in most of parameter space. For the EIF and Wang-Buzsáki models, we show that the LN cascade can be reduced to a firing rate model, the timescale of which we determine analytically. Finally we introduce an adaptive timescale rate model in which the timescale of the linear filter depends on the instantaneous firing rate. This model leads to highly accurate estimates of instantaneous firing rates

    Age-dependent allozymic variation in a natural population of lizards

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    An analysis of allozymic variation at 17 loci in a population of the sagebrush lizard ( Sceloporus graciosus ) in southern Utah yielded an estimate of genic heterozygosity of 0.028. Seven of the loci were variable, but only one, Est-1 , was strongly polymorphic. The observation that the frequency of the common genotype ( MM ) at the Est-1 locus declined monotonically in successive age classes from 0.74 in hatchlings to 0.58 in adults 4 years old or older suggests that allele frequencies at this locus are not independent of selective influences.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44183/1/10528_2004_Article_BF00486175.pd
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