Optimal foraging theory posits that foragers adjust their movements based on prey abundance to optimize food intake. While extensively studied in terrestrial and marine environments, aerial foraging has remained relatively unexplored due to technological limitations. This study, uniquely combining BirdScan-MR1 radar and the Advanced Tracking and Localization of Animals in Real-Life Systems biotelemetry system, investigates the foraging dynamics of Little Swifts () in response to insect movements over Israel's Hula Valley.
View Article and Find Full Text PDFLemierre's syndrome is a rare and potentially life-threatening complication of head and neck infections, such as bacterial pharyngitis or tonsillitis. It is characterized by the extension of infection into the lateral pharyngeal spaces, leading to subsequent septic thrombophlebitis of the internal jugular vein(s). Although relatively uncommon since the advent of appropriate antibiotic therapy, the incidence of Lemierre's syndrome has increased in the past 15 years, especially among young, healthy adults.
View Article and Find Full Text PDFObesity (Silver Spring)
February 2025
Objective: Food noise has received attention in the media, although no validated questionnaires exist to measure it. This study developed and tested the reliability and validity of the Food Noise Questionnaire (FNQ).
Methods: Participants (N = 400) successfully completed, the FNQ and a demographic questionnaire and self-reported weight and height.
Background: Species host diverse microbial communities that can impact their digestion and health, which has led to much interest in understanding the factors that influence their microbiota. We studied the developmental, environmental, and social factors that influence the microbiota of nestling barn owls (Tyto alba) through a partial cross-fostering experiment that manipulated the social and nest environment of the nestlings. We then examined the nestling microbiota before and three weeks after the exchange of nestlings between nests, along with the microbiota of the adults at the nest and nestlings in unmanipulated nests.
View Article and Find Full Text PDFJ Environ Manage
January 2025
The destructive and life-threatening nature of flood events calls for fast and accurate methods to predict dynamic flood behaviour. Data-driven surrogate models have been developed to quickly predict flood inundation, though their accuracy relies on the available flood information for model training and validation. Flood observations are rarely available at high spatial and temporal scales, and thus computationally expensive high-resolution hydrodynamic (high-fidelity) models are often used to generate training data through simulation of selected flood events.
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