Background: Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of data recorded by bio-loggers, but there exists no common framework for comparing the different machine learning techniques in this domain. This makes it difficult to, for example, identify patterns in what works well for machine learning-based analysis of bio-logger data.
View Article and Find Full Text PDFNorthern elephant seals (Mirounga angustirostris) have been integral to the development and progress of biologging technology and movement data analysis, which continue to improve our understanding of this and other species. Adult female elephant seals at Año Nuevo Reserve and other colonies along the west coast of North America were tracked annually from 2004 to 2020, resulting in a total of 653 instrument deployments. This paper outlines the compilation and curation process of these high-resolution diving and location data, now accessible in two Dryad repositories.
View Article and Find Full Text PDFPrevious studies have described two distinct vascular systems in cetacean fins. However, these studies have been limited to Delphinoidea species, with little information on their three-dimensional structures. In this study, the anatomical analysis of the caudal and dorsal fins of a dwarf sperm whale was conducted using X-ray computed tomography and gross dissection with staining, providing the first confirmation of the two vascular systems in the fins of the family Kogiidae.
View Article and Find Full Text PDFWe developed the "Itappachi" universal motion platform for measuring radiation doses under simulated respiratory motion in radiation therapy. The interplay effect, resulting from respiratory motion, degrades dose delivery precision in advanced treatments such as volumetric modulated arc therapy. The Itappachi platform is designed for precise dose measurement in dynamic scenarios through its ability to simulate respiratory motion.
View Article and Find Full Text PDFFront Cell Infect Microbiol
September 2024
The role of the gut microbiota in the gut-brain axis has attracted attention in recent years. Some gut microbiota produces γ-aminobutyric acid (GABA), a major inhibitory neurotransmitter in mammals, , but the correlation between gut microbiota composition and intestinal GABA concentration, as well as the action of intestinal GABA , are poorly understood. Herein, we found that the intestinal GABA concentration was increased in mice by the intervention of the gut microbiota with neomycin or TMC3115 (TMC3115).
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