Participant acceptability of digital footprint data collection strategies: an exemplar approach to participant engagement and involvement in the ALSPAC birth cohort study. by Kate Shiells, Nicholas Timpson, John Macleod, Alastair Tanner, Richard Thomas, Andy Skinner, Claire Haworth, Oliver Davis, Anya Skatova, Nina Di Cara, Andy Boyd

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FAIR Research Objects for realising Open Science with the EOSC project RELIANCE by Anne Fouilloux, Elisa Trasatti, Federica Foglini, Alejandro Coca-Castro, Jean Iaquinta

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Policy priority inference: A computational framework to analyze the allocation of resources for the sustainable development goals by Omar A. Guerrero, Gonzalo Castañeda

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Logic + probabilistic programming + causal laws by Vaishak Belle

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Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources by Annabel Whipp, Nicolas Malleson, Jonathan Ward, Alison Heppenstall

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Optimal strategies for learning multi-ancestry polygenic scores vary across traits by Brieuc Lehmann, Maxine Mackintosh, Gil McVean, Chris Holmes

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Convolutional conditional neural processes for local climate downscaling by A. Vaughan, W. Tebbutt, J. S. Hosking, J. S. Hosking, R. E. Turner

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Assessing Open Science Practices in Phytolith Research by Emma Karoune

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Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study by Xin You Tai, MBBS, Michele Veldsman, PhD, Donald M Lyall, PhD, Thomas J Littlejohns, PhD, Kenneth M Langa, ProfMD PhD, Masud Husain, ProfDPhil, Janice Ranson, PhD, David J Llewellyn, ProfPhD

“…Funding: Wellcome Trust, Alzheimer's Research UK, Alan Turing Institute/Engineering and Physical Sciences Research Council, the National Institute for Health Research Applied Research Collaboration South West Peninsula, National Health and Medical Research Council, JP Moulton Foundation, and National Institute on Aging/National Institutes of Health.…”
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Approximating solutions of the Chemical Master equation using neural networks by Augustinas Sukys, Kaan Öcal, Ramon Grima

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Machine Learning Methods in CFD for Turbomachinery: A Review by James Hammond, Nick Pepper, Francesco Montomoli, Vittorio Michelassi

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Toward evaluating the effect of technology choices on linkages between sustainable development goals by Magdalena M. Klemun, Sanna Ojanperä, Amy Schweikert

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Copyright in generative deep learning by Giorgio Franceschelli, Mirco Musolesi

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Infrastructure is not enough: Interactions between the environment, socioeconomic disadvantage, and cycling participation in England by Eugeni Vidal Tortosa, Robin Lovelace, Eva Heinen, Richard P. Mann

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Decentralized crowdsourcing medical data sharing platform to obtain chronological rare data by Stefan Kambiz Behfar, Jon Crowcroft

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Epidemic modelling requires knowledge of the social network by Samuel Johnson

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Real-time robot topological localization and mapping with limited visual sampling in simulated buried pipe networks by Xiangyu S. Li, T. L. Nguyen, Anthony G. Cohn, Anthony G. Cohn, Anthony G. Cohn, Anthony G. Cohn, Mehmet Dogar, Netta Cohen

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Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model by R. Parthipan, R. Parthipan, H. M. Christensen, J. S. Hosking, J. S. Hosking, D. J. Wischik

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Machine learning enhanced cell tracking by Christopher J. Soelistyo, Christopher J. Soelistyo, Kristina Ulicna, Kristina Ulicna, Alan R. Lowe, Alan R. Lowe, Alan R. Lowe

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Anomaly detection in a fleet of industrial assets with hierarchical statistical modeling by Maharshi Dhada, Mark Girolami, Ajith Kumar Parlikad

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