Publications by authors named "O Font"

This paper describes the results of the study I Want More! The Lives of Sex Workers During the COVID-19 Pandemic, which is part of the EPIC community research program. The study analyzed the effects of the pandemic on the lives of cis, trans and travesti sex workers in nine Brazilian states and 11 cities throughout 2020 and 2021. This article focuses on the qualitative component of the study, which was based on semi-structured, remote and face-to-face interviews carried out with 43 sex workers, and its comparison with the quantitative component.

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Purpose: This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography.

Methods: Retrospective diagnostic test evaluation on a raw dataset of 5918 images (2839 individuals) evaluated with non-mydriatic cameras during routine occupational health checkups. Three camera models were employed: Optomed Aurora (field of view - FOV 50º, 88% of the dataset), ZEISS VISUSCOUT 100 (FOV 40º, 9%), and Optomed SmartScope M5 (FOV 40º, 3%).

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Article Synopsis
  • The study investigates the synthesis of K-zeolites from fly ash to efficiently recover phosphate from urban and industrial wastewater.
  • The synthesized zeolites, rich in nutrients like potassium and phosphorus, could serve as slow-release fertilizers.
  • The optimal conditions led to high phosphate sorption capacities, demonstrating a potential for simultaneously managing waste and recycling valuable nutrients in agriculture.
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Purpose: To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundus images, (3) distinction between right eye (OD) and left eye (OS) retinal fundus images,(4) detection of age-related macular degeneration (AMD) and (5) detection of referable glaucomatous optic neuropathy (GON).

Patients And Methods: Five algorithms were designed. Retrospective study from a database of 306,302 images, Optretina's tagged dataset.

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The present study focuses on the geochemistry of large phosphogypsum deposits in Huelva (SW Spain). Phosphogypsum slurry waste from fertiliser production was disposed in large ponds containing aqueous waste (i.e.

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