Hotspots of Arctic and sub-Arctic marine sediment organic carbon are dominated by the Baltic, Barents and Chukchi Seas. [PDF]
Langley B +6 more
europepmc +1 more source
The Shifting Paradigms of Disaster Robotics Three Decades of Research
ABSTRACT The increasing frequency and magnitude of natural disasters worldwide have raised the demand for advanced robotic systems in disaster response. In this research, a comprehensive bibliometric analysis of 2,201 Web of Science database papers was investigate systematically global research trends, patterns and emerging frontiers in disaster ...
Qin Hu +4 more
wiley +1 more source
Spatiotemporal patterns and clustering of prostate cancer incidence in China: a Bayesian modeling study of cancer registry data. [PDF]
Zhu X +6 more
europepmc +1 more source
ABSTRACT Early detection of breast abnormalities remains challenging: manual palpation is subjective and operator‐dependent, while imaging modalities may miss small or subtle stiffness anomalies. This paper presents a biomimetic multifinger robotic palpation approach intended to support early breast‐cancer screening and follow‐up assessment as a proof ...
Kai Cheng +7 more
wiley +1 more source
Spatiotemporal patterns of tuberculosis in urban slums and urban-rural transition zones: evidence from Tétouan, Morocco, 2019-2023. [PDF]
Ez-Zari A +7 more
europepmc +1 more source
The Role of Sediment Supply on Fish Habitat Dynamics of a Morphologically Active River Widening
ABSTRACT Restoration measures, such as river widening, aim to reactivate key morphodynamic processes, which are critical drivers of fluvial habitat dynamics. While some evidence supports the important role of sediment supply on river widening's morphology, its link to fish habitat availability and dynamics remains unclear.
Mahmoud O. M. Awadallah +4 more
wiley +1 more source
Multiscale spatiotemporal evolution and patterns of riverine ecological security in Nanjing Yangtze river basin. [PDF]
Sun C +5 more
europepmc +1 more source
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni +9 more
wiley +1 more source
Cluster analysis of the spatial distribution of cholera in Uganda. [PDF]
Tumuhamye N +5 more
europepmc +1 more source

