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  • Teaching activity design and psychological practice of music majors under a convolutional neural network and transformer module

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  • Prevalence and predictors of hypotension on hospital arrival in traumatic brain injury: a prehospital HEMS cohort study

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  • A contrastive learning framework with adaptive feature fusion for brain tumor classification

  • Hasan, M. J., Hasan, M., Akter, S., Mahi, A. B. S. & Uddin, M. P. Enhancing brain tumor classification with a novel attention based explainable deep learning framework. Biomed. Signal Process. Control 112, 108636 (2026).

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  • Genetic predisposition to coffee consumption and the association with the early risk of atherosclerosis

  • Lindstrom, M. et al. Global burden of cardiovascular diseases and risks collaboration, 1990-2021. J. Am. Coll. Cardiol. 80(25), 2372–2425 (2022).

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  • A hybrid recommendation framework utilizing domain-adaptive RoBERTa embeddings for enhanced personalization in e-commerce

  • Amiri, B., Shahverdi, N., Haddadi, A. & Ghahremani, Y. Beyond the trends: evolution and future directions in music recommender systems research. IEEE Access. 12, 51500–51522 (2024).

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  • Mechanistic role of gut microbiota metabolites in hypertension-insomnia comorbidity via integrated network pharmacology and molecular dynamics

  • Ford, E. S., Cunningham, T. J., Giles, W. H. & Croft, J. B. Trends in insomnia and excessive daytime sleepiness among US. adults from 2002 to 2012. Sleep Med. 16, 372–378 (2015).

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  • The effects of inspiratory muscle training on respiratory function and aerobic capacity in sedentary adolescents: A single-blind randomized controlled trial

  • van Sluijs, E. M. et al. Physical activity behaviours in adolescence: Current evidence and opportunities for intervention. Lancet 398, 429–442. https://doi.org/10.1016/S0140-6736(21)01259-9 (2021).

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  • Real-time decentralized model predictive control for cooperative multi-robot object transport: experimental validation

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  • Kennel-Maushart, F. & Coros, S. Payload-aware trajectory optimisation for non-holonomic mobile multi-robot…

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  • DMSTG-AD: an SDN intrusion detection method based on dynamic multi-scale spatio-temporal graph neural network

  • Tang, Y., Wang, W.-Z., Wang, W.-Y. & Xu, B.-W. Design and implementation of the interconnected architecture of SDN and traditional IP network. Computer Eng. Sci. 39, 2210 (2017).

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