AS-OCT and Ocular Hygrometer as Innovative Tools in Dry Eye Disease Diagnosis

Dry eye disease (DED) is one of the conditions that most commonly leads patients to visit an ophthalmologist. Fast and accurate diagnosis relieves patient discomfort and spares them from long-term effects on the ocular surface. Many tests used in the diagnosis of DED may be considered subjective as they rely on an experienced observer for image interpretation, resulting in variations in diagnosis. On one hand, the non-contact nature of the anterior segment optical coherence tomography (AS-OCT) device and its rapid image acquisition enable the measurement of the tear meniscus parameter without reflex tearing. On the other hand, an ocular hygrometer allows a rapid, safe, but also efficient, analysis and is associated with low costs and the repeatability of the procedure

Generalized additive models for Risso's dolphin group size estimation in the Gulf of Taranto (Northern Ionian Sea, Central-eastern Mediterranean Sea)

Cetaceans are species indicator of the ecosystem health status. It is necessary to increase knowledge on them to support the conservation of these species and their habitat. New strategy, based on machine learning techniques, has been adopted to estimate cetacean group size. Starting from Risso’s dolphin sighting data in the Ionian Sea collected between 2009 and 2019, the aim of this work is to build a correlative model which can help in estimating Risso’s dolphin group size, by using a set of physical and biogeochemical features