Objectives: To implement, examine the feasibility of, and evaluate the performance of quantitative ultrasound (QUS) with a handheld point-of-care US (POCUS) device for assessing liver fat in adults.
Materials And Methods: This prospective IRB-approved, HIPAA-compliant pilot study enrolled adults with overweight or obesity. Participants underwent chemical-shift-encoded magnetic resonance imaging to estimate proton density fat fraction (PDFF) and, within 1 mo, QUS with a POCUS device by expert sonographers and novice operators (no prior US scanning experience).
Ocean alkalinity enhancement (OAE) is a nature-based technology for CO removal and storage, but little is known about its environmental safety. We tested a CO-equilibrated OAE deployment in a close-to-natural community using in situ mesocosms in the oligotrophic subtropical North Atlantic and assessed metazoan zooplankton to inform about food web stability, structure, and production. In addition, a literature review complemented experimental results by summarizing physiological responses of marine animals to decreasing proton concentrations, or increased pH.
View Article and Find Full Text PDFDevelopmental chronic low-level lead (Pb) exposure disrupts central nervous system function and diminishes neurocognition. Microglial cell activation might contribute to these deficits. The present study evaluated the effects of developmental sub-chronic low-level lead exposure on microglial cells and the possible effectiveness of a natural anti-inflammatory intervention with apigenin to mitigate these effects.
View Article and Find Full Text PDFEfficient transcriptional regulation of the stress response is critical for microorganism survival. In yeast, stress-related gene expression, particularly for antioxidant enzymes like catalases, mitigates reactive oxygen species such as hydrogen peroxide (HO), preventing cell damage. The halotolerant yeast shows oxidative stress tolerance, largely due to high catalase activity from and genes.
View Article and Find Full Text PDFBackground: Heterogeneous types of gait impairment are common post-stroke. Studies used supervised and unsupervised machine learning on discrete biomechanical features to summarize the gait cycle and identify common patterns of gait behaviors. However, discrete features cannot account for temporal variations that occur during gait.
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