{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T03:14:51Z","timestamp":1793762091054,"version":"4.6.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T00:00:00Z","timestamp":1774310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:00:00Z","timestamp":1778544000000},"content-version":"vor","delay-in-days":49,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-026-39956-9","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T01:44:29Z","timestamp":1774316669000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Neuroimaging-driven recommendation systems for personalized sports training and injury prevention"],"prefix":"10.1038","volume":"16","author":[{"given":"Daoyu","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinsheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuening","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiufeng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,24]]},"reference":[{"key":"39956_CR1","doi-asserted-by":"crossref","unstructured":"Zhang, Z. et al. Scholarly recommendation systems: a literature survey. Knowl. Inf. Syst.65, 4433\u20134478 (2023).","DOI":"10.1007\/s10115-023-01901-x"},{"key":"39956_CR2","volume-title":"& Choi, A","author":"H Ko","year":"2022","unstructured":"Ko, H., Lee, S. & Park, Y. & Choi, A (Recommendation models, techniques, and application fields. Electronics, A survey of recommendation systems, 2022)."},{"key":"39956_CR3","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1080\/16168658.2021.2019430","volume":"14","author":"S Forouzandeh","year":"2022","unstructured":"Forouzandeh, S., Rostami, M. & Berahmand, K. A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model. Fuzzy Inf. Eng. 14, 26\u201350 (2022).","journal-title":"Fuzzy Inf. Eng."},{"key":"39956_CR4","unstructured":"Sun, Z. et al. A survey on federated recommendation systems. IEEE Trans. Neural Netw. Learn. Syst. (2022)."},{"key":"39956_CR5","doi-asserted-by":"crossref","unstructured":"Kreutz, C.\u00a0K. & Schenkel, R. Scientific paper recommendation systems: a literature review of recent publications. Int. J. Digit. Libr.23, 335\u2013369 (2022).","DOI":"10.1007\/s00799-022-00339-w"},{"key":"39956_CR6","doi-asserted-by":"publisher","first-page":"274","DOI":"10.3991\/ijet.v16i03.18851","volume":"16","author":"U Javed","year":"2021","unstructured":"Javed, U. et al. A review of content-based and context-based recommendation systems. International Journal of Emerging Technologies in Learning (iJET) 16, 274\u2013306 (2021).","journal-title":"International Journal of Emerging Technologies in Learning (iJET)"},{"key":"39956_CR7","doi-asserted-by":"crossref","unstructured":"Ivchenko, D. et al. Torchrec: a pytorch domain library for recommendation systems. ACM Conference on Recommender Systems (2022).","DOI":"10.1145\/3523227.3547387"},{"key":"39956_CR8","volume-title":"& Kashef, R","author":"Z Fayyaz","year":"2020","unstructured":"Fayyaz, Z., Ebrahimian, M., Nawara, D. & Ibrahim, A. & Kashef, R (Algorithms, challenges, metrics, and business opportunities. Applied Sciences, Recommendation systems, 2020)."},{"key":"39956_CR9","doi-asserted-by":"crossref","unstructured":"Hwang, S. & Park, E. Movie recommendation systems using actor-based matrix computations in south korea. IEEE Trans. Comput. Soc. Syst. (2022).","DOI":"10.1109\/TCSS.2021.3117885"},{"key":"39956_CR10","doi-asserted-by":"crossref","unstructured":"Maier, C. & Simovici, D. Bipartite graphs and recommendation systems. J. Adv. Inf. Technol.13 (3), 249-258 (2022).","DOI":"10.12720\/jait.13.3.249-258"},{"key":"39956_CR11","doi-asserted-by":"crossref","unstructured":"Dhelim, S., Aung, N., Bouras, M.\u00a0A., Ning, H. & Cambria, E. A survey on personality-aware recommendation systems. Artif. Intell. Rev.55, 2409\u20132454 (2021).","DOI":"10.1007\/s10462-021-10063-7"},{"key":"39956_CR12","volume-title":"& Oleagordia-Ru\u00cdz, I","author":"MC Urdaneta-Ponte","year":"2021","unstructured":"Urdaneta-Ponte, M. C. & M\u00e9ndez-Zorrilla, A. & Oleagordia-Ru\u00cdz, I (Systematic review. Electronics, Recommendation systems for education, 2021)."},{"key":"39956_CR13","doi-asserted-by":"crossref","unstructured":"Shi, S., Gong, Y. & Gursoy, D. Antecedents of trust and adoption intention toward artificially intelligent recommendation systems in travel planning: A heuristic\u2013systematic model. J. Travel Res.60(8) , (2020).","DOI":"10.1177\/0047287520966395"},{"key":"39956_CR14","doi-asserted-by":"publisher","first-page":"49","DOI":"10.3390\/informatics8030049","volume":"8","author":"S Chakraborty","year":"2021","unstructured":"Chakraborty, S. et al. Fashion recommendation systems, models and methods: A review. Informatics 8, 49 (2021).","journal-title":"Informatics"},{"key":"39956_CR15","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1109\/TCSS.2021.3055823","volume":"8","author":"G Wei","year":"2021","unstructured":"Wei, G., Wu, Q. & Zhou, M. A hybrid probabilistic multiobjective evolutionary algorithm for commercial recommendation systems. IEEE Trans. Comput. Soc. Syst. 8, 589\u2013598 (2021).","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"39956_CR16","doi-asserted-by":"crossref","unstructured":"Kanwal, S., Nawaz, S., Malik, M.\u00a0K. & Nawaz, Z. A review of text-based recommendation systems. IEEE Access931638 - 31661, (2021).","DOI":"10.1109\/ACCESS.2021.3059312"},{"key":"39956_CR17","doi-asserted-by":"crossref","unstructured":"Yang, L., Tan, B., Zheng, V., Chen, K. & Yang, Q. Federated recommendation systems. Federated Learning 225\u2013239, (2020).","DOI":"10.1007\/978-3-030-63076-8_16"},{"key":"39956_CR18","volume-title":"The simpson\u2019s paradox in the offline evaluation of recommendation systems","author":"AH Jadidinejad","year":"2021","unstructured":"Jadidinejad, A. H., Macdonald, C. & Ounis, I. The simpson\u2019s paradox in the offline evaluation of recommendation systems (ACM Trans. Inf, Syst, 2021)."},{"key":"39956_CR19","doi-asserted-by":"publisher","first-page":"144270","DOI":"10.1109\/ACCESS.2021.3122098","volume":"9","author":"D Nawara","year":"2021","unstructured":"Nawara, D. & Kashef, R. Context-aware recommendation systems in the iot environment (iot-cars)-a comprehensive overview. IEEE Access 9, 144270\u2013144284 (2021).","journal-title":"IEEE Access"},{"key":"39956_CR20","doi-asserted-by":"publisher","first-page":"16702","DOI":"10.1109\/ACCESS.2020.2967792","volume":"8","author":"C Feng","year":"2020","unstructured":"Feng, C., Khan, M., Rahman, A. U. & Ahmad, A. News recommendation systems - accomplishments, challenges & future directions. IEEE Access 8, 16702\u201316725 (2020).","journal-title":"IEEE Access"},{"key":"39956_CR21","doi-asserted-by":"publisher","first-page":"8141","DOI":"10.3390\/su13158141","volume":"13","author":"HUR Khan","year":"2021","unstructured":"Khan, H. U. R., Lim, C., Ahmed, M., Tan, K. & Mokhtar, M. B. Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism. Sustainability 13, 8141 (2021).","journal-title":"Sustainability"},{"key":"39956_CR22","unstructured":"Rocco, J.\u00a0D., Ruscio, D.\u00a0D., Sipio, C.\u00a0D., Nguyen, P.\u00a0T. & Rubei, R. Development of recommendation systems for software engineering: the crossminer experience. Empir. Softw. Eng.22, (2021)."},{"key":"39956_CR23","volume-title":"& \u00c1ngel F VILLAREJO-RAMOS","author":"J-P Cabrera-S\u00e1nchez","year":"2020","unstructured":"Cabrera-S\u00e1nchez, J.-P., de Luna, I. R. & Carvajal-Trujillo, E. & \u00c1ngel F VILLAREJO-RAMOS (Factors influencing use in e-commerce. Sustainability, Online recommendation systems, 2020)."},{"key":"39956_CR24","doi-asserted-by":"crossref","unstructured":"Fu, Z., Xian, Y., Zhang, Y. & Zhang, Y. Tutorial on conversational recommendation systems. ACM Conference on Recommender Systems751 - 753 (2020).","DOI":"10.1145\/3383313.3411548"},{"key":"39956_CR25","doi-asserted-by":"publisher","first-page":"1148019","DOI":"10.3389\/fpsyt.2023.1148019","volume":"14","author":"HJ Tan","year":"2023","unstructured":"Tan, H. J. et al. Anxiety among hospitalized covid-19 patients: a case-control study from a tertiary teaching hospital in malaysia. Front. Psychiatry 14, 1148019 (2023).","journal-title":"Front. Psychiatry"},{"key":"39956_CR26","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1111\/ncn3.12677","volume":"11","author":"HJ Tan","year":"2023","unstructured":"Tan, H. J. et al. Neurological manifestations in sars-cov-2 infection: A single-center cross-sectional study in malaysia. Neurol. Clin. Neurosci. 11, 17\u201326 (2023).","journal-title":"Neurol. Clin. Neurosci."},{"key":"39956_CR27","doi-asserted-by":"crossref","unstructured":"Argyriou, A., Gonz\u00e1lez-Fierro, M. & Zhang, L. Microsoft recommenders: Best practices for production-ready recommendation systems. The Web Conference (2020).","DOI":"10.1145\/3366424.3382692"},{"key":"39956_CR28","doi-asserted-by":"crossref","unstructured":"Nawara, D. & Kashef, R. Iot-based recommendation systems \u2013 an overview. 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (2020).","DOI":"10.1109\/IEMTRONICS51293.2020.9216391"},{"key":"39956_CR29","doi-asserted-by":"publisher","first-page":"892","DOI":"10.1287\/isre.2020.0922","volume":"31","author":"D Lee","year":"2020","unstructured":"Lee, D., Gopal, A. & Park, S.-H. Different but equal? a field experiment on the impact of recommendation systems on mobile and personal computer channels in retail. Inf. Syst. Res. 31, 892\u2013912 (2020).","journal-title":"Inf. Syst. Res."},{"key":"39956_CR30","doi-asserted-by":"publisher","DOI":"10.1136\/bcr-2021-246499","volume":"14","author":"HJ Tan","year":"2021","unstructured":"Tan, H. J., Lim, K. Y., Rajah, R. & Ng, C. F. Lithium neurotoxicity with electroencephalogram changes. BMJ Case Reports CP 14, e246499 (2021).","journal-title":"BMJ Case Reports CP"},{"key":"39956_CR31","doi-asserted-by":"publisher","first-page":"1539653","DOI":"10.3389\/fimmu.2025.1539653","volume":"16","author":"Y Zhou","year":"2025","unstructured":"Zhou, Y. et al. Revealing gut microbiota biomarkers associated with melanoma immunotherapy response and key bacteria-fungi interaction relationships: Evidence from metagenomics, machine learning, and shap methodology. Front. Immunol. 16, 1539653 (2025).","journal-title":"Front. Immunol."},{"key":"39956_CR32","doi-asserted-by":"crossref","unstructured":"Yadalam, T.\u00a0V., Gowda, V.\u00a0M., Kumar, V.\u00a0S., Girish, D. & M, N. Career recommendation systems using content based filtering. International Conference on Communication and Electronics Systems (2020).","DOI":"10.1109\/ICCES48766.2020.9137992"},{"key":"39956_CR33","doi-asserted-by":"crossref","unstructured":"Hsia, S. et al. Cross-stack workload characterization of deep recommendation systems. IEEE International Symposium on Workload Characterization (2020).","DOI":"10.1109\/IISWC50251.2020.00024"},{"key":"39956_CR34","doi-asserted-by":"publisher","first-page":"37","DOI":"10.4236\/ait.2020.104004","volume":"10","author":"T-Y Yeh","year":"2020","unstructured":"Yeh, T.-Y. & Kashef, R. Trust-based collaborative filtering recommendation systems on the blockchain. Advances in Internet of Things 10, 37\u201356 (2020).","journal-title":"Advances in Internet of Things"},{"key":"39956_CR35","doi-asserted-by":"publisher","first-page":"1544863","DOI":"10.3389\/fimmu.2025.1544863","volume":"16","author":"A Gonz\u00e1lez-Torbay","year":"2025","unstructured":"Gonz\u00e1lez-Torbay, A. et al. Functional insights of an uncommon hypomorphic variant in il2rg as a monogenic cause of cvid-like disease with antibody deficiency and t cd4 lymphopenia. Front. Immunol. 16, 1544863 (2025).","journal-title":"Front. Immunol."},{"key":"39956_CR36","doi-asserted-by":"publisher","first-page":"1518658","DOI":"10.3389\/fimmu.2025.1518658","volume":"16","author":"M Vecellio","year":"2025","unstructured":"Vecellio, M. & Selmi, C. Opinion article: eqtl analyses are a formidable tool to define the immunogenetic mechanisms underpinning spondyloarthropathies. Front. Immunol. 16, 1518658 (2025).","journal-title":"Front. Immunol."},{"key":"39956_CR37","doi-asserted-by":"publisher","first-page":"180","DOI":"10.2519\/jospt.2017.7003","volume":"47","author":"DR Grooms","year":"2017","unstructured":"Grooms, D. R. et al. Neuroplasticity associated with anterior cruciate ligament reconstruction. J. Orthop. Sports Phys. Ther. 47, 180\u2013189 (2017).","journal-title":"J. Orthop. Sports Phys. Ther."},{"key":"39956_CR38","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.jsams.2018.07.004","volume":"22","author":"JA Diekfuss","year":"2019","unstructured":"Diekfuss, J. A. et al. Does brain functional connectivity contribute to musculoskeletal injury? a preliminary prospective analysis of a neural biomarker of acl injury risk. J. Sci. Med. Sport 22, 169\u2013174 (2019).","journal-title":"J. Sci. Med. Sport"},{"key":"39956_CR39","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.4085\/1062-6050-50.10.02","volume":"50","author":"DR Grooms","year":"2015","unstructured":"Grooms, D. R., Page, S. J. & Onate, J. A. Brain activation for knee movement measured days before second anterior cruciate ligament injury: neuroimaging in musculoskeletal medicine. J. Athl. Train. 50, 1005\u20131010 (2015).","journal-title":"J. Athl. Train."},{"key":"39956_CR40","doi-asserted-by":"publisher","first-page":"381","DOI":"10.2519\/jospt.2015.5549","volume":"45","author":"D Grooms","year":"2015","unstructured":"Grooms, D., Appelbaum, G. & Onate, J. Neuroplasticity following anterior cruciate ligament injury: a framework for visual-motor training approaches in rehabilitation. J. Orthop. Sports Phys. Ther. 45, 381\u2013393 (2015).","journal-title":"J. Orthop. Sports Phys. Ther."},{"key":"39956_CR41","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1001\/jama.2012.13735","volume":"308","author":"IK Koerte","year":"2012","unstructured":"Koerte, I. K., Ertl-Wagner, B., Reiser, M., Zafonte, R. & Shenton, M. E. White matter integrity in the brains of professional soccer players without a symptomatic concussion. Jama 308, 1859\u20131861 (2012).","journal-title":"Jama"},{"key":"39956_CR42","doi-asserted-by":"crossref","unstructured":"Ku\u017celewska, U. & Falkowski, M. Impact of learning data statistics on the performance of a recommendation system based on movielens data. In International Conference on Dependability of Computer Systems, 132\u2013142 (Springer, 2024).","DOI":"10.1007\/978-3-031-61857-4_13"},{"key":"39956_CR43","doi-asserted-by":"crossref","unstructured":"Munson, J., Cummins, B. & Zosso, D. An introduction to collaborative filtering through the lens of the netflix prize. Knowl. Inf. Syst. 67 1\u201350 (2025).","DOI":"10.1007\/s10115-024-02315-z"},{"key":"39956_CR44","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1109\/MCOM.001.2300558","volume":"62","author":"Y Wang","year":"2024","unstructured":"Wang, Y., Liu, Y., Wang, Q. & Wang, C. Clusterpoison: Poisoning attacks on recommender systems with limited fake users. IEEE Commun. Mag. 62, 136\u2013142 (2024).","journal-title":"IEEE Commun. Mag."},{"key":"39956_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2023.109980","volume":"52","author":"AN Espino-V\u00e1zquez","year":"2024","unstructured":"Espino-V\u00e1zquez, A. N., Cota, R. R., Callejas-Negrete, O. A., Fischer, R. & Mouri\u00f1o-P\u00e9rez, R. R. Protein interactors of spindle pole body (spb) components and septal proteins in fungus neurospora crassa: A mass spectrometry-based dataset. Data in Brief 52, 109980 (2024).","journal-title":"Data in Brief"},{"key":"39956_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111841","volume":"295","author":"P Gu","year":"2024","unstructured":"Gu, P., Hu, H. & Xu, G. Modeling multi-behavior sequence via hypergru contrastive network for micro-video recommendation. Knowl.-Based Syst. 295, 111841 (2024).","journal-title":"Knowl.-Based Syst."},{"key":"39956_CR47","doi-asserted-by":"crossref","unstructured":"Betello, F. et al. A reproducible analysis of sequential recommender systems. IEEE Access (2024).","DOI":"10.1109\/ACCESS.2024.3522049"},{"key":"39956_CR48","doi-asserted-by":"publisher","first-page":"155789","DOI":"10.1109\/ACCESS.2024.3462830","volume":"12","author":"T Nguyen","year":"2024","unstructured":"Nguyen, T. et al. H-bert4rec: Enhancing sequential recommendation system on moocs based on heterogeneous information networks. IEEE Access 12, 155789\u2013155803 (2024).","journal-title":"IEEE Access"},{"key":"39956_CR49","doi-asserted-by":"crossref","unstructured":"Suo, W., Muhammad, B.\u00a0A. & Liu, B. Lightgcn-lsc: Lightweight graph convolution network for learning style classification in online education. In 2024 International Conference on Networking and Network Applications (NaNA), 374\u2013379 (IEEE, 2024).","DOI":"10.1109\/NaNA63151.2024.00069"},{"key":"39956_CR50","doi-asserted-by":"crossref","unstructured":"Maji, S., Maity, S., Das, J. & Majumder, S. An improved recommendation system based on neural matrix factorization. In 2023 4th International Conference on Intelligent Technologies (CONIT), 1\u20137 (IEEE, 2024).","DOI":"10.1109\/CONIT61985.2024.10627601"},{"key":"39956_CR51","doi-asserted-by":"crossref","unstructured":"Kolar, J.\u00a0W., Biela, J. & Minibock, J. Exploring the pareto front of multi-objective single-phase pfc rectifier design optimization-99.2% efficiency vs. 7kw\/din 3 power density. In 2009 IEEE 6th International Power Electronics and Motion Control Conference, 1\u201321 (IEEE, 2009).","DOI":"10.1109\/IPEMC.2009.5289336"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-39956-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-39956-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-39956-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T12:02:54Z","timestamp":1778760174000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-39956-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,24]]},"references-count":51,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["39956"],"URL":"https:\/\/doi.org\/10.1038\/s41598-026-39956-9","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,24]]},"assertion":[{"value":"25 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"14783"}}