Cetaceans adjust their distribution and abundance to encountered conditions across years and seasons, but we poorly understand such small-scale changes for many species, especially in winter. Crucial challenges confront some populations during this season, such as the high levels of fisheries-induced mortality faced by the common dolphin () in the Northeast Atlantic shelves. For such species, understanding the winter fine-scale dynamics is crucial. We aimed to identify the dolphin distribution drivers during the winters of 2020 and 2021, with a focus on determining the lag between changes in oceanographic conditions and dolphin distribution. The changes were related to temporal delays specific to the nature and cascading effects that oceanographic processes had on the trophic chain. By determining the most important conditions and lags to dolphin distributions, we shed light on the poorly understood intrusions of dolphins within coastal waters during winter: they displayed a strong preference for the coastal-shelf waters front and extensively followed its spatial variations, with their overall densities increasing over the period and peaking in March-April. The results presented here provide invaluable information on the winter distribution dynamics and should inform management decisions to help reduce the unsustainable mortalities of this species in the by-catch of fisheries.
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http://dx.doi.org/10.1098/rsos.220379 | DOI Listing |
Front Oncol
January 2025
Department of Radiation Oncology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objectives: Implementing pre-treatment patient-specific quality assurance (prePSQA) for cancer patients is a necessary but time-consuming task, imposing a significant workload on medical physicists. Currently, the prediction methods used for prePSQA fall under the category of supervised learning, limiting their generalization ability and resulting in poor performance on new data. In the context of this work, the limitation of traditional supervised models was broken by proposing a conditional generation method utilizing unsupervised diffusion model.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Electronic Engineering Institute, National University of Defense Technology, Hefei 230037, China.
Correctly identifying influential nodes in a complex network and implementing targeted protection measures can significantly enhance the overall security of the network. Currently, indicators such as degree centrality, closeness centrality, betweenness centrality, H-index, and K-shell are commonly used to measure node influence. Although these indicators can identify critical nodes to some extent, they often consider node attributes from a narrow perspective and have certain limitations.
View Article and Find Full Text PDFInt J Parasitol Parasites Wildl
April 2025
Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.
The caribou ( sspp.) is a keystone wildlife species in northern ecosystems that plays a central role in the culture, spirituality and food security of Indigenous People. The Arctic is currently experiencing an unprecedented rate of climate change, including warming temperatures and altered patterns of precipitation.
View Article and Find Full Text PDFPLoS One
December 2024
Observatoire Pelagis, UAR 3462 CNRS, La Rochelle Université, La Rochelle, France.
Marine mammal populations, particularly the common dolphin Delphinus delphis in the North-East Atlantic, play an essential role as indicators of ecosystem health. Effective monitoring of these populations is essential for assessing anthropogenic impacts, especially in the context of current threats such as fisheries bycatch. The MOTHY drift model, initially designed for oil spills and then adapted to carcass drift, is being used in part of the North East Atlantic (Bay of Biscay, English Chanel, and North Sea) to estimate the bycatch mortality of common dolphins.
View Article and Find Full Text PDFSleep Breath
November 2024
Department of Orthodontics and Pediatric Dentistry, Faculty of Dentistry, Chiang Mai University T. Suthep, A. Muang, Chiang Mai, 50200, Thailand.
Background: To evaluate the volume and the most constricted cross-sectional area (lumen) sizes of the upper pharyngeal airway among children with/without unilateral cleft lip and palate (UCLP) and with/without obstructive sleep apnea (OSA).
Methods: This prospective study was conducted on 66 Thai children aged 5 to 12 years, encompassing demographic information, polysomnographic data, and sex distribution: 34 with non-syndromic UCLP (16 with OSA; 18 without OSA) and 32 non-cleft children (16 with OSA; 16 without OSA). Subjects were divided into two age groups: preadolescent group (ages 10-12) and younger group (ages 5-9).
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