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Machine learning-based hydrological models for flash floods: a systematic literature review

Leonardo B. L. Santos, Elton V. Escobar-Silva, Luiz F. Satolo, Ricardo S. Oyarzabal, Michael M. Diniz, Rogério G. Negri, Glauston R. T. Lima, Stephan Stephany, Jaqueline A. J. P. Soares, Johan S. Duque, Fernando L. Saraiva Filho, Angélica N. Caseri, Luiz Bacelar 2025

Abstract Flash floods are critical events for emergency management, yet their modeling remains highly challenging, even in smart cities approaches. Physically based hydrological models are often unsuitable at small spati...

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Pictogram room augmented reality technology games improve body knowledge, imitation, and joint attention skills in autistic children with intellectual disability

Patricia Pérez-Fuster, Gerardo Herrera, Lucía Vera, Jacqueline Nadel, Charles Tijus, Arturo López-Fernández, Maria Stancheva, Yana Kozareva, Ana Andreeva, Seher Büyüksoylu, Ahmet Avşar, Emrah Koçak, Jimmie Leppink 2025

Abstract Body knowledge, imitation, and joint attention are foundational for child development, yet many autistic children with intellectual disability struggle to acquire these skills. This study evaluated the effects o...

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Optimising hyperparameters with a tree structured Parzen estimator to improve diabetes prediction

Raafat M. Munshi, Lammar R. Munshi, Hanen Himdi, Amjad Qashlan, Reema Munshi, Othman Y. Alyahyawy, Mashael M. Khayyat 2025

Abstract Diabetes is a lifelong condition that occurs when the pancreas loses its ability to secrete insulin or experiences a significant reduction in insulin production. Early identification of high-risk patients is cru...

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Promoting equitable access to infection prevention for people with different vulnerabilities: a scoping review

Chiara Moreal, Beata Dobrowolska, Patrycja Ozdoba, Marta Szara, Nevenka Kregar Velikonja, Mateja Šimec, Gorazd Laznik, Sabina Krsnik, Anna Escofet Roig, Mireia Esparza, Maria Montserrat Solà-Pola, Aysel Özsaban, Aysun Bayram, Alvisa Palese, Stefania Chiappinotto 2025

Abstract Background Educational health interventions play a crucial role in the prevention of respiratory infections, particularly among people with vulnerabilities, who bear a disproportionate burden, which can lead to...

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A comprehensive overview: deep learning approaches to central serous chorioretinopathy diagnosis

Mohammad Shojaeinia, Azamossadat Hosseini, Mostafa Naderi, Bardia Baloutch, Mohammad Shokoohi Yekta, Leila Akbarpour, Hamid Moghaddasi 2025

Abstract Purpose To synthesize evidence on deep learning applications for diagnosing central serous chorioretinopathy (CSCR), a macular disorder associated with vision loss, this systematic review categorized studies by...

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Mapping strategies for reducing inequalities in adult elective surgical care in the United Kingdom: a living scoping review protocol

Katherine-Helen Hurndall, Jonathan Clarke, Ana-Luisa Neves, Ara Darzi 2025

Abstract Background Equitability of healthcare and timely access to services are essential components of healthcare quality, yet persistent health inequalities and inequity of access remain global challenges. The COVID-1...

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Shadows and subsystems of generalized probabilistic theories: when tomographic incompleteness is not a loophole for contextuality proofs

David Schmid, John H. Selby, Vinicius P. Rossi, Roberto D. Baldijão, Ana Belén Sainz 2025

It is commonly believed that failures of tomographic completeness undermine assessments of nonclassicality in noncontextuality experiments. In this work, we study how such failures can indeed lead to mistaken assessments...

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A Multimodal Analysis of Online Information Foraging in Health-Related Topics Based on Stimulus-Engagement Alignment: Observational Feasibility Study

Szilvia Zörgő, Gjalt-Jorn Peters, Anna Jeney, Szilárd Dávid Kovács, Rik Crutzen 2025

Abstract BackgroundThe recent increase in online health information–seeking has prompted extensive user appraisal of encountered content. Information consumption depends crucially on the quality of encountere...