PREGNANCY AFTER BARIATRIC SURGERY: IMPROVING OUTCOMES FOR MOTHER AND CHILD


AUCReshaping: improved sensitivity at high-specificity

Abstract The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric.However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of sensitivity and specificity, which are critical for the intended operational context of the

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Influence of grazing on populations of the specialist grasshopper Mioscirtus wagneri inhabiting hypersaline habitats in La Mancha Region, Central Spain

Grazing is an influential land use that has introduced profound changes in worldwide landscapes, ecosystems and their species.In this paper, we analysed the influence of grazing on the presence and abundance of the endangered Mioscirtus wagneri, a monophagous grasshopper inhabiting inland hypersaline ecosystems in Spain and showing a marked spatial

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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite

Wood/PLA biocomposite filament is a 3D printing material that blends Polylactic Acid (PLA), a biopolymer, with wood powder acting as reinforcement.This combination results in a sustainable 3D printing filament that has grown in popularity in recent years due to its eco-friendliness and the natural appearance of 3D-printed parts.To assess the suitab

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