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MoveMentor—examining the effectiveness of a machine learning and app-based digital assistant to increase physical activity in adults: protocol for a randomised controlled trial
Published 2025-07-01“…Intervention participants will gain access to an app-based physical activity digital assistant that can learn and adapt in real-time to achieve high levels of personalisation and user engagement by virtue of applying a range of machine learning techniques (i.e. reinforcement learning, natural language processing and large language models). The digital assistant will interact with participants in 3 main ways: (1) educational conversations about physical activity; (2) just-in-time personalised in-app notifications (‘nudges’), cues to action encouraging physical activity and (3) chat-based questions and answers about physical activity. …”
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Development of Quantitative Structure–Anti-Inflammatory Relationships of Alkaloids
Published 2024-11-01Get full text
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Ball-Flight Viewing Duration and Estimates of Passing Height in Baseball
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Flocculation regulates suspended sediment transport in estuarine fronts
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Structural host-virus interactome profiling of intact infected cells
Published 2025-07-01Get full text
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Using aerial thermography to map terrestrial thermal environments in unprecedented detail
Published 2025-08-01Get full text
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Different city = different cycling behaviour? A comparative analysis of cycling behaviour in German cities
Published 2025-05-01Get full text
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Edge Computing Architecture for the Management of Underwater Cultural Heritage
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Identification of Inhibitors with Potential Anti-Prostate Cancer Activity: A Chemoinformatics Approach
Published 2025-06-01Get full text
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