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Your search for "swedish" yielded 93607 hits
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Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effectively addressed the first challenge. Here we tackled the latter challenge by masking one source (e.g., ICD10 codes) and training the transformer to pre
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Multiple language learning has been largely neglected in L2 motivation research. Recently, complexity principles have been used to model multilingual motivation. In this work, multilingual self-guides are conceptualised as emergent from interactions between the motivation systems of different languages. Motivational systems and their emergent properties are also influenced by the contexts in which
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Learning a language is a long-term undertaking. In this endeavor, motivation is served by patterns of regulation that steer and control behavior. Regulation can be focused on possibilities and opportunities (an approach pattern), or the implications of failure (an avoidance pattern). Responding to calls for work with a focus on regulation (Papi et al., 2019), and with the aim of developing insight
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Demotivation (Dörnyei & Ushioda, 2011) and non-participation (Norton, 2001) characterise negative responses to classroom practice of a generally chronic nature. In this article, focus is directed to negativity that emerges within the context of a particular language developing activity, and which can be understood as a situated response to the activity's demands. In conceptualizing negative re
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The pathophysiological mechanisms intersecting metabolic and neurodegenerative disorders include insulin resistance, which has a strong involvement of environmental factors. Besides central regulation of whole-body homeostasis, insulin in the central nervous system controls molecular signalling that is critical for cognitive performance, namely signalling through pathways that modulate synaptic tr
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Novel biomarkers are key to addressing the ongoing pandemic of type 2 diabetes mellitus. While new technologies have improved the potential of identifying such biomarkers, at the same time there is an increasing need for informed prioritization to ensure efficient downstream verification. We have built BALDR, an automated pipeline for biomarker comparison and prioritization in the context of diabe