HELA-CMM: capability maturity model for adoption of learning analytics in higher education by Diana Šimić, Nina Begičević Ređep, Sabina Rako, Nikola Kadoić, Wim Van Petegem, Bart Rienties, Nati Cabrera Lanzo, Michael Eichhorn, Lourdes Guàrdia, Sandra Kučina Softić, Alexander Tillmann

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Using large language models to generate child-friendly education materials on myopia by Xuewei Li, Yixuan Zhang, Tonglei Zheng, Yuanqi Deng, Yuchang Lu, Jie Hu, Sitong Chen, Yan Li, Kai Wang

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SDGs-based adaptive curriculum model to improve education quality in the digital age by Eva Puspitasari

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Inclusive educational process at the university: Theoretical and experimental model of teachers' psychological readiness by V. Z. Kantor, Yu. L. Proekt

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Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool by Jorge F. Beltrán, Lisandra Herrera Belén, Alejandro J. Yáñez, Luis Jimenez

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Immunogenic cell death signature predicts survival and reveals the role of VEGFA + Mast cells in lung adenocarcinoma by Meng Zhang, Guowei Zhou, Yantao Xu, Benliang Wei, Qian Liu, Guanxiong Zhang, Ruimin Chang

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Ultrasound evaluation of gallbladder wall thickness for predicting severe dengue: a systematic review and meta-analysis by Amirhossein Shahsavand Davoudi, Hamid Harandi, Reza Samiee, Shayan Forghani, Keyhan Mohammadi, Maryam Shafaati

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White blood cells, monocytes and thrombin time in predicting symptomatic hydrocephalus in patients with aneurysmal subarachnoid hemorrhage by Hui Deng, Hongjuan Yang, Ruoyu Chen, Wei Xing, Jia Shi

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Derivation and validation of a risk calculator for the prediction of incidence of complications following repair of Achilles Tendon Rupture by Maya Hemdanieh, Majd Mzeihem, Anas El Zouhbi, Hani Tamim, Mohamad Nassereddine

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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions by Chao Cao, Mengli Li, Chunyu Wang, Lei Xu, Quan Zou, Yansu Wang, Wu Han

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Does patients' age predict their clinical outcomes following non-infectious epiglottitis? A systematic review. by Alaa Safia, Uday Abd Elhadi, Rabie Shehadeh, Raed Farhat, Majd Asakly, Nidal El Khatib, Ashraf Khater, Taiser Bishara, Saqr Massoud, Shlomo Merchavy

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Machine learning-assisted high-throughput prediction and experimental validation of high-responsivity extreme ultraviolet detectors by R. A. W. Ayyubi, Mei Xian Low, Salar Salimi, Majid Khorsandi, M. Mosarof Hossain, Hurriyat Arooj, Shoaib Masood, M. Husnain Zeb, Nasir Mahmood, Qiaoliang Bao, Sumeet Walia, Babar Shabbir

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Evaluating the Stress State and the Load-Bearing Fraction as Predicted by an In Vivo Parameter Identification Method for the Abdominal Aorta by Jerker Karlsson, Jan-Lucas Gade, Carl-Johan Thore, Carl-Johan Carlhäll, Jan Engvall, Jonas Stålhand

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A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid

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Predicting Pain Perception Based on Psychological Distress in Patients with Rheumatoid Arthritis: The Mediating Role of Sleep Quality by Hosein Etemadi Mehr, Hanieh Mohammadizadeh, Fatemeh Rohi, Sajjad Motamed Monfared, Fatemeh Rajabi

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Does the Nutrient Adequacy Ratio (NAR) Predict Metabolic Profile and Glycemic Status Among the Obese Population? by Mehdi Ghaffari Sarghein, Mahdieh Abbasalizad Farhangi, Negin Nikrad

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Artificial intelligence and machine learning techniques for predicting neuropathic pain in patients with cancer: A systematic review by Haneen A Taha, Ruqayya S Zeilani, Rabia H Haddad, Maysoon S Abdalrahim

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Machine Learning-Driven Prediction of Brain Age for Alzheimer’s Risk: APOE4 Genotype and Gender Effects by Carter Woods, Xin Xing, Subash Khanal, Ai-Ling Lin

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Identifying and ranking non-traditional risk factors for cardiovascular disease prediction in people with type 2 diabetes by Katarzyna Dziopa, Nishi Chaturvedi, Folkert W. Asselbergs, Amand F. Schmidt

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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

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