Pediatric Appendicitis Score and Ultrasound in children with Acute Appendicitis: An Observational Study by Suyog Simkhada, Bijay Thapa, Anupama Thapa Basnet, Sijan Karki

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In silico tools for mechanical analysis of extra‐ and intra‐luminal artificial urinary sphincters by Gianluca Mazzucco, Paola Pirini, Chiara Giulia Fontanella, Alice Berardo, Maria Vittoria Mascolini, Ilaria Toniolo, Leonardo Marziale, Tommaso Mazzocchi, Gioia Lucarini, Nicolò Spiezia, Emanuele Luigi Carniel

“…Materials and Methods Computational investigations were carried out to evaluate the mechanical reliability of the main extraluminal and intraluminal AUS, AMS 800 and Relief. …”
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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

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Distinguishing Reality from AI: Approaches for Detecting Synthetic Content by David Ghiurău, Daniela Elena Popescu

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Opportunities, challenges and school strategies for integrating generative AI in education by Davy Tsz Kit Ng, Eagle Kai Chi Chan, Chung Kwan Lo

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Open science 2.0: revolutionizing spatiotemporal data sharing and collaboration by Siqin Wang, Xiao Huang, Mengxi Zhang, Shuming Bao, Lingbo Liu, Xiaokang Fu, Ting Zhang, Yongze Song, Peter Kedron, John Wilson, Xinyue Ye, Chaowei Yang, Wendy Guan

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Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence by Randa Basheer, Bassel Alkhatib

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A Systemic Approach to the Preservation of Audio Documents: Methodology and Software Tools by Federica Bressan, Sergio Canazza

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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…Traditionally diagnosed through clinical assessments, Down syndrome, a genetic disorder characterized by distinctive facial features, has benefited from recent advancements in computer vision and artificial intelligence (AI). This paper explores various facial analysis techniques, including deep convolutional neural networks (DCNNs) and hybrid models combining traditional image processing with deep learning. …”
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Formation and creative manifestation of functional ensembles of intellectual agents based on live information in various spheres of life activity by Evgeny Bryndin

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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

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Protocol for a qualitative study to explore acceptability, barriers and facilitators of the implementation of new teleophthalmology technologies between community optometry practic... by Ann Blandford, Konstantinos Balaskas, Rima Hussain, Sarah Abdi, Angela Aristidou, Josie Carmichael, Giulia Cappellaro

“…Data from interviews, observations and self-audiorecordings will be analysed thematically and will be informed by normalisation process theory and an inductive approach.Ethics and dissemination Ethical approval has been received from London-Bromley research ethics committee. …”
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Retraction notice to “MPPT efficiency enhancement of a grid connected solar PV system using Finite Control set model predictive controller” [Heliyon 10 (2024) e27663] by Ayodeji Olalekan Salau, Girma Kassa Alitasb

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Study protocol of a randomised controlled trial on SISU, a software agent providing a brief self-help intervention for adults with low psychological well-being by Harald Baumeister, Ann-Marie Küchler, David Ebert, Natalie Bauereiss, Eileen Bendig, Benjamin Erb, Lena Weger, Echo Meißner

“…Software agents are computer programs that can hold conversations with a human by mimicking a human conversational style. …”
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Adapting a style based generative adversarial network to create images depicting cleft lip deformity by Abdullah Hayajneh, Erchin Serpedin, Mohammad Shaqfeh, Graeme Glass, Mitchell A. Stotland

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Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (... by Henri Vähä-Ypyä, Harri Sievänen, Seppo Heinonen, Sari Niinistö, Suvi M Virtanen, Ilkka Korhonen, Mikko Kytö, Lisa Torsdatter Markussen, Pekka Marttinen, Giulio Jacucci, Tuuli E Korhonen, Saila B Koivusalo

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A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD... by Louisa Jorm, Daniel Moses, Dona Adikari, Ramtin Gharleghi, Shisheng Zhang, Arcot Sowmya, Sze-Yuan Ooi, Susann Beier

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Microsimulation models on child and adolescent health: a scoping review protocol by Filipa Sampaio, Claire de Oliveira

“…Findings will be synthesised by type of health condition, if/where possible.Ethics and dissemination Given that primary data will not be collected in this study, research ethics approval is not required. …”
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