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In the original PDF version of this article, affiliation 1, 'Institute for Diabetes and Obesity, Helmholtz Diabetes Center (HDC), Helmholtz Zentrum Muenchen & German Center for Diabetes Research (DZD), Neuherberg, Germany', was incorrectly given as 'Institute of Diabetes and Regeneration Research, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany '. This has now been corrected in the PDF version of the article; the HTML version was correct at the time of publication.
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http://dx.doi.org/10.1038/s41467-018-07479-1 | DOI Listing |
J Obes Metab Syndr
September 2025
Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea.
Background: Research on the relationship between physical activity and medical expenses among individuals with obesity has been sparse. This study investigates that association using nationwide data from Korea.
Methods: We analyzed data from the National Sample Cohort of the Korean National Health Insurance Service, including 112,531 adults with obesity who underwent at least two health screenings within a 2-year interval between 2009 and 2015.
Neural Comput Appl
August 2025
Institute of Criminology, University of Cambridge, Sidgwick Ave, Cambridge, CB3 9DA UK.
Unlabelled: This investigation explores whether machine learning can predict recidivism while addressing societal biases. To investigate this, we obtained conviction data from the UK's Police National Computer (PNC) on 346,685 records between January 1, 2000, and February 3, 2006 (His Majesty's Inspectorate of Constabulary in Use of the Police National Computer: An inspection of the ACRO Criminal Records Office. His Majesty's Inspectorate of Constabulary, Birmingham, https://assets-hmicfrs.
View Article and Find Full Text PDFVet Sci
August 2025
Department of Anatomy, Faculty of Veterinary Medicine, Erciyes University, 38039 Kayseri, Türkiye.
In this study, bone detection was performed using the YOLO algorithm on a dataset comprising photographs of the scapula, humerus, and femur from cattle, horses, and dogs. Subsequently, convolutional neural networks (CNNs) were employed to classify both the bone type and the species. Trained on a total of 26,148 images, the model achieved an accuracy rate of up to 97.
View Article and Find Full Text PDFBMC Womens Health
August 2025
Hannover Medical School, Medical Sociology Unit, Carl-Neuberg-Straße 1, Hannover, 30625, Germany.
Background: Decreased maternal mental health leads to difficulties for the mother herself and for her family life. In Germany, inpatient mother-/father-child preventive and rehabilitation clinics are addressing these parental health problems. Further analysis, however, is needed in order to better understand the origins of impaired parental health and to improve the interventions.
View Article and Find Full Text PDFJ Proteome Res
September 2025
Laboratory of Applied Toxinology, Center of Toxins, Immune-Response, and Cell Signaling (CeTICS), Butantan Institute, 05503-900, São Paulo, Brazil.
FragPipe is recognized as one of the fastest computational platforms in proteomics, making it a practical solution for the rapid quality control of high-throughput sample analyses. Starting with version 23.0, FragPipe introduced the "Generate Summary Report" feature, offering .
View Article and Find Full Text PDF