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Backward swimming in elongated-bodied abyssal demersal fishes: Synaphobranchidae, Macrouridae, and Ophidiidae.
J Fish Biol
January 2025
Minderoo-UWA Deep-Sea Research Centre, School of Biological Sciences and Oceans Institute, The University of Western Australia, Perth, Western Australia, Australia.
The deep-sea demersal fish fauna is characterized by a prevalence of elongated-body forms with long tapering tails. Using baited camera landers at depths of 4500-6300 m in the Pacific Ocean, we observed multiple instances of backward swimming using reverse undulation of the slender body in four species: the cutthroat eel Ilyophis robinsae, abyssal grenadier Coryphaenoides yaquinae, and cusk-eels Bassozetus sp. and Barathrites iris.
View Article and Find Full Text PDFDetection and recognition of foreign objects in Pu-erh Sun-dried green tea using an improved YOLOv8 based on deep learning.
PLoS One
January 2025
College of Tea Science, Yunnan Agricultural University, Kunming, China.
The quality and safety of tea food production is of paramount importance. In traditional processing techniques, there is a risk of small foreign objects being mixed into Pu-erh sun-dried green tea, which directly affects the quality and safety of the food. To rapidly detect and accurately identify these small foreign objects in Pu-erh sun-dried green tea, this study proposes an improved YOLOv8 network model for foreign object detection.
View Article and Find Full Text PDFPsychometric evaluation and translation of the Persian version of the Organizational Silence Behavior Scale (OSBS-P) for clinical nurses.
PLoS One
January 2025
Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.
Background: Healthcare professionals have a crucial responsibility to provide optimal patient care. However, maintaining silence within an organization can often lead to ethical dilemmas and negatively impact the quality of care. Healthcare professionals must speak up and ensure their concerns are heard and addressed to promote a safe and ethical healthcare environment.
View Article and Find Full Text PDFAre the Results of the Bayley Scales of Infant and Toddler Development (Third Edition) Predictive for Later Motor Skills and School Performance?
Children (Basel)
December 2024
LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany.
Background/objectives: The first year of life represents a critical developmental stage in which the foundations for motor, cognitive, language, and social-emotional development are set. During this time, development occurs rapidly, making early detection of developmental disorders essential for timely intervention. The Bayley Scales of Infant and Toddler Development-Third Edition (Bayley-III) is an effective tool for assessing language, motor, and cognitive development in children aged 1 to 42 months.
View Article and Find Full Text PDFInformation-controlled graph convolutional network for multi-view semi-supervised classification.
Neural Netw
December 2024
College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China; Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, 350108, China. Electronic address:
Graph convolutional networks have achieved remarkable success in the field of multi-view learning. Unfortunately, most graph convolutional network-based multi-view learning methods fail to capture long-range dependencies due to the over-smoothing problem. Many studies have attempted to mitigate this issue by decoupling graph convolution operations.
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