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Predicting Geographic Ranges of Marine Animal Populations Using Stable Isotopes: A Case Study of Great Hammerhead Sharks in Eastern Australia

Determining the geographic range of widely dispersed or migratory marine organisms is notoriously difficult, often requiring Catheters and Sheaths - Intermittent considerable costs and typically extensive tagging or exploration programs.While these approaches are accurate and can reveal important information on the species, they are usually conduct

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Pre-hospital management of penetrating neck injuries: derivation of an algorithm through a National Modified Delphi

Abstract Background Timely and effective pre-hospital management of penetrating neck injuries (PNI) is critical to improve patient outcomes.Pre-hospital interventions in patients with PNI can be especially challenging due to the anatomical injury site coupled with a resource-limited environment.Nationally, in the United Kingdom, no consensus statem

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Deep Learning-based DSM Generation from Dual-Aspect SAR Data

Rapid mapping demands efficient methods for a fast extraction of information from satellite data while minimizing data Reining Saddle requirements.This paper explores the potential of deep learning for the generation of high-resolution urban elevation data from Synthetic Aperture Radar (SAR) imagery.In order to mitigate occlusion effects caused by

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