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  1. 421

    A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

    Published 2025-03-01
    “…We classified pairs of conditions as across or within-domain based on the international classification of disease. Findings: We identified 72 chronic conditions, with 43.6% of 2546 pairs showing higher co-occurrence than chance in primary care and evidence of shared genetics. …”
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    Injury and Illness Incidence in 2017 Super Rugby Tournament: A Surveillance Study on a Single South African Team by Kim Buchholtz, Curt Barnes, Theresa L. Burgess

    Published 2022-06-01
    “…Twenty one percent of all injuries occurred during the tackle; 37.5% of all injuries were of a "moderate" severity. …”
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    Volatile-Olfactory Profiles of cv. Arbequina Olive Oils Extracted without/with Olive Leaves Addition and Their Discrimination Using an Electronic Nose by Ítala M. G. Marx, Nuno Rodrigues, Ana C. A. Veloso, Susana Casal, José A. Pereira, António M. Peres

    Published 2021-01-01
    “…Arbequina or Santulhana leaves significantly reduced the total content of alcohols and esters (minus 37–56% and 10–13%, respectively). Contrary, cv. …”
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  6. 426

    Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

    Published 2024-12-01
    “…Lastly, confronting the lacuna of information gaps prevalent within single-stream data, we deploy a multi-stream fusion methodology to fortify model outputs, ultimately fostering more precise prognostications concerning action classifications. Empirical results bear testament to the efficacy of the proposed multi-stream fused spatiotemporal graph convolutional network paradigm for skeleton-centric behavior recognition, evincing a pinnacle recognition accuracy of 96.0% on the expansive NTU-RGB+D skeleton dataset, alongside a zenithal accuracy of 37.3% on the Kinetics-Skeleton dataset—emanating from RGB data and furthered through pose estimation.…”
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  7. 427

    Impact of multimorbidity and complex multimorbidity on mortality among older Australians aged 45 years and over: a large population-based record linkage study by Alamgir Kabir, An Tran, Sameera Ansari, Damian P Conway, Margo Barr

    Published 2022-07-01
    “…MM and CMM were associated with a 37% (adjusted HR 1.36, 95% CI 1.32 to 1.40) and a 22% (adjusted HR 1.22, 95% CI 1.18 to 1.25) increased risk of death, respectively. …”
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    Industry of employment and occupational class in relation to cardiovascular health by race/ethnicity, sex/gender, age and income among adults in the USA: a cross-sectional study by Symielle A Gaston, Chandra L Jackson, Jamie A Murkey, Dana M Alhasan, W Braxton Jackson

    Published 2024-04-01
    “…Adjusting for sociodemographic, clinical factors, and health behaviour confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% CIs of mICVH overall and by race/ethnicity and performed Wald tests for interaction.Results Latinx (53%) and NH-Black (37%) adults were more likely than NH-White adults (29%) to report labourer positions and had the lowest prevalence of mICVH (5.2% (Latinx) and 3.9% (NH-Black)). …”
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