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http://dx.doi.org/10.3389/fpls.2023.1105320 | DOI Listing |
Environ Manage
January 2025
TECNALIA Research & Innovation, Basque Research and Technology Alliance (BRTA), Energy, climate, and urban transition, Parque Tecnológico de Bizkaia, Derio, Spain.
The extent and timescale of climate change impacts remain uncertain, including global temperature increase, sea level rise, and more frequent and intense extreme events. Uncertainties are compounded by cascading effects. Nevertheless, decision-makers must take action.
View Article and Find Full Text PDFJ Pediatr Psychol
January 2025
Psychiatry and Behavioral Medicine, Cancer and Blood Disorders Center, Seattle Children's Hospital, Seattle, WA, United States.
Life (Basel)
January 2025
Beijing Key Laboratory of Sports Performance and Skill Assessment, Beijing Sport University, Beijing 100084, China.
Exercise physiology is a crucial scientific discipline that explores the complex manner in which physical activity influences the physiological responses and adaptations of the human body [...
View Article and Find Full Text PDFEur Urol
January 2025
Department of Surgery, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Centre, Cambridge Biomedical Campus, Cambridge, UK.
Neoadjuvant systemic treatment strategies have improved outcomes in several solid tumour types. This success has not yet been replicated in renal cell carcinoma (RCC). A consensus and international collaboration are urgently needed for the development of adaptive perioperative immunotherapy strategies for patients with RCC at high risk of recurrence.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Introduction: Active learning can significantly decrease the labeling cost of deep learning workflows by prioritizing the limited labeling budget to high-impact data points that have the highest positive impact on model accuracy. Active learning is especially useful for semantic segmentation tasks where we can selectively label only a few high-impact regions within these high-impact images. Most established regional active learning algorithms deploy a static-budget querying strategy where a fixed percentage of regions are queried in each image.
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