Summary: Extensive human health data from cohort studies, national registries, and biobanks can reveal lifecourse risk factors impacting health. Combining these sources offers increased statistical power, rare outcome detection, replication of findings, and extended study periods. Traditionally, this required data transfer to a central location or separate partner analyses with pooled summary statistics, posing ethical, legal, and time constraints.
View Article and Find Full Text PDFAcetogens are a diverse group of anaerobic bacteria that are capable of carbon dioxide fixation and have for long fascinated scientists due to their unique metabolic prowess. Historically, acetogens have been recognized for their remarkable ability to grow and to produce acetate from different one-carbon sources, including carbon dioxide, carbon monoxide, formate, methanol, and methylated organic compounds. The key metabolic pathway in acetogens responsible for converting these one-carbon sources is ́the Wood-Ljungdahl pathway.
View Article and Find Full Text PDFObjective: Understanding the longitudinal patterns of health care utilization among older adults is crucial for designing effective patient journeys and enhancing care coordination across settings. This study aims to uncover the most common patient journeys of older adults.
Design: This explorative study used process mining techniques to analyze national health care data from 2017 to 2019, focusing on patient care journeys of older adults (aged ≥65 years) in the Netherlands.
Quasi-periodic eruptions (QPEs) are luminous bursts of soft X-rays from the nuclei of galaxies, repeating on timescales of hours to weeks. The mechanism behind these rare systems is uncertain, but most theories involve accretion disks around supermassive black holes (SMBHs) undergoing instabilities or interacting with a stellar object in a close orbit. It has been suggested that this disk could be created when the SMBH disrupts a passing star, implying that many QPEs should be preceded by observable tidal disruption events (TDEs).
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