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Children's high and increasing levels of screen time are of growing concern to parents, health professionals, and researchers. With the growing availability and use of devices such as smartphones and tablets, it is important to understand the impact of children's screen use on development. Prospective longitudinal data from 6,281 children (48.

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When rendering the visual scene for near-eye head-mounted displays, accurate knowledge of the geometry of the displays, scene objects, and eyes is required for the correct generation of the binocular images. Despite possible design and calibration efforts, these quantities are subject to positional and measurement errors, resulting in some misalignment of the images projected to each eye. Previous research investigated the effects in virtual reality (VR) setups that triggered such symptoms as eye strain and nausea.

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The purpose of this study was to determine the levels of IL-17, Bcl-3 and IκBζ gene expression in the gingival crevicular fluid (GCF) of psoriatic and healthy individuals and to compare the clinical periodontal parameters in the patient and control groups. A total of 10 psoriasis patients and 2 healthy patients in the control group were included in the analysis for IL-17, Bcl-3, and IκBζ gene expression in the GCF. Periodontal health, gingival index, plaque index, and mobility (using a periotest device) levels were compared between the groups.

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Purpose: To validate automated counts of presumed anterior chamber (AC) cells in eyes with histories of uveitis involving the anterior segment using swept-source (SS) anterior segment optical coherence tomography (AS-OCT) against manual counts and compare automated counts against Standardized Uveitis Nomenclature (SUN) criteria.

Methods: Eyes were imaged with the ANTERION SS AS-OCT device (Heidelberg Engineering). A fully automated custom algorithm quantified the number of hyper-reflective foci (HRF) in line-scan images.

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Background: Alzheimer's Disease (AD) is associated with sleep disturbances. Moreover, individuals with sleep disturbances have been reported to have a higher risk for developing AD. The measurement of sleep behavior therefore opens the opportunity for a potential digital biomarker of AD.

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