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“Read the room Sweden” : Memes, trust, and vulnerability in pandemic engagement

This chapter offers a theoretical approach to the study of humorous digital memes. Using vaccination and pandemic policy memes on Reddit as examples, the chapter’s main contribution is an understanding of memes as forms of symbolic levelling that reflect and construct civic trust or distrust. Arguing for a theoretically informed methodological approach sensitive to memes’ polysemic ambiguity, seve

Refixation behavior in naturalistic viewing : Methods, mechanisms, and neural correlates

When freely viewing a scene, the eyes often return to previously visited locations. By tracking eye movements and coregistering eye movements and EEG, such refixations are shown to have multiple roles: repairing insufficient encoding from precursor fixations, supporting ongoing viewing by resampling relevant locations prioritized by precursor fixations, and aiding the construction of memory repres

From shadows to light: The role of latent networks in mainstreaming solar PV practices

Practice theories have generated interest in sustainability transitions research as a means to study shared expectations, conventions and routines that maintain unsustainable consumption within the dominant regime. However, collective action to change practices, which is crucial for innovation, is seldom examined in practice theory research. This article applies practice theories to conceptualize

Co-creating holistic injury prevention training for youth handball: Development of an intervention targeting end-users at the individual, team, and organizational levels.

BackgroundInterventions that are co-created with end-users, and that are informed by behavior change or implementation theories, support implementation in real world settings. However, injury prevention programs for youth athletes have typically been developed by experts with no, or insufficiently described, end-user involvement and without guidance by theories. The aim of the current study was to

Machine Learning Models for Prediction of Diabetic Microvascular Complications

IMPORTANCE AND AIMS: Diabetic microvascular complications significantly impact morbidity and mortality. This review focuses on machine learning/artificial intelligence (ML/AI) in predicting diabetic retinopathy (DR), diabetic kidney disease (DKD), and diabetic neuropathy (DN).METHODS: A comprehensive PubMed search from 1990 to 2023 identified studies on ML/AI models for diabetic microvascular comp

An Operatic Game-Changer : The Opera Maker as Game Designer and the Potentials of Ludo-Immersive Opera

How can live-performed chamber operas be conceptualized as immersive games with interactive features? This artistic study has resulted in a system model through which degrees of immersion may be generated and analyzed from physical, social, and psychical stimuli. A differentiation of immersive modes has been made possible by the framing of opera-making as game design. The findings indicate that so