{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:32:31Z","timestamp":1763389951224,"version":"3.35.0"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:00:00Z","timestamp":1738195200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:00:00Z","timestamp":1738195200000},"content-version":"vor","delay-in-days":0,"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\/s41598-025-87455-0","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T17:44:03Z","timestamp":1738259043000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis"],"prefix":"10.1038","volume":"15","author":[{"given":"Ahmed I.","family":"Saleh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asmaa H.","family":"Rabie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shimaa E.","family":"ElSayyad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali E.","family":"Takieldeen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fahmi","family":"Khalifa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,30]]},"reference":[{"key":"87455_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106270","volume":"205","author":"WM Shaban","year":"2020","unstructured":"Shaban, W. M., Rabie, A. H., Saleh, A. I. & Abo-Elsoud, M. A new covid-19 patients detection strategy (cpds) based on hybrid feature selection and enhanced knn classifier. Knowl.-Based Syst. 205, 106270 (2020).","journal-title":"Knowl.-Based Syst."},{"key":"87455_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105684","volume":"147","author":"N Iqbal","year":"2022","unstructured":"Iqbal, N. & Kumar, P. Integrated covid-19 predictor: Differential expression analysis to reveal potential biomarkers and prediction of coronavirus using rna-seq profile data. Comput. Biol. Med. 147, 105684 (2022).","journal-title":"Comput. Biol. Med."},{"key":"87455_CR3","unstructured":"Tom, J.J. & Anebo, N.P. A neuro-fussy based model for diagnosis of monkeypox diseases (2018)."},{"key":"87455_CR4","unstructured":"Centers for Disease Control and Prevention. Monkeypox). https:\/\/www.cdc.gov\/poxvirus\/monkeypox\/symptoms.html (Accessed 16 July 2021)."},{"key":"87455_CR5","unstructured":"Centers for Disease Control and Prevention. Monkeypox. https:\/\/www.cdc.gov\/poxvirus\/monkeypox\/outbreak\/us-outbreaks.html (Accessed 17 May 2022)."},{"key":"87455_CR6","unstructured":"World Health Organization (WHO). Monkeypox). https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/monkeypox (Accessed 19 May 2022)."},{"key":"87455_CR7","first-page":"em2108","volume":"14","author":"MJ Oladoye","year":"2021","unstructured":"Oladoye, M. J. Monkeypox: a neglected viral zoonotic disease. Electron. J. Med. Educ. Technol. 14, em2108 (2021).","journal-title":"Electron. J. Med. Educ. Technol."},{"key":"87455_CR8","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.bsheal.2024.07.002","volume":"6","author":"G Ou","year":"2024","unstructured":"Ou, G. et al. Automated robot and artificial intelligence-powered wastewater surveillance for proactive mpox outbreak prediction. Biosaf. Health 6, 225\u2013234 (2024).","journal-title":"Biosaf. Health"},{"key":"87455_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.medmic.2024.100098","volume":"19","author":"S Yadav","year":"2024","unstructured":"Yadav, S. & Qidwai, T. Machine learning-based monkeypox virus image prognosis with feature selection and advanced statistical loss function. Med. Microecol. 19, 100098 (2024).","journal-title":"Med. Microecol."},{"key":"87455_CR10","doi-asserted-by":"crossref","unstructured":"Muhammed Kalo Hamdan, A. & Ekmekci, D. Prediction of monkeypox infection from clinical symptoms with adaptive artificial bee colony-based artificial neural network. Neural Comput. Appl. 1\u201316 (2024).","DOI":"10.1007\/s00521-024-09782-z"},{"key":"87455_CR11","unstructured":"Rustagi, T. & Vijarania, M. Hybridizing wolf search algorithm with xgboost model for accurate identification of cardiac disorders. Front. Health Inform. 1439\u20131461 (2024)."},{"key":"87455_CR12","doi-asserted-by":"crossref","unstructured":"Bacanin, N. et al. Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets. Multimed. Tools Appl. 1\u201341 (2024).","DOI":"10.1007\/s11042-024-18295-9"},{"key":"87455_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105112","volume":"140","author":"AH Rabie","year":"2022","unstructured":"Rabie, A. H., Saleh, A. I. & Mansour, N. A. A covid-19\u2019s integrated herd immunity (cihi) based on classifying people vulnerability. Comput. Biol. Med. 140, 105112 (2022).","journal-title":"Comput. Biol. Med."},{"key":"87455_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108693","volume":"128","author":"AH Rabie","year":"2022","unstructured":"Rabie, A. H., Mansour, N. A., Saleh, A. I. & Takieldeen, A. E. Expecting individuals\u2019 body reaction to covid-19 based on statistical na\u00efve bayes technique. Pattern Recogn. 128, 108693 (2022).","journal-title":"Pattern Recogn."},{"key":"87455_CR15","doi-asserted-by":"publisher","first-page":"7269","DOI":"10.1007\/s40747-023-01118-z","volume":"9","author":"N Bacanin","year":"2023","unstructured":"Bacanin, N. et al. Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection. Complex Intell. Syst. 9, 7269\u20137304 (2023).","journal-title":"Complex Intell. Syst."},{"key":"87455_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2024.172195","volume":"929","author":"N Bacanin","year":"2024","unstructured":"Bacanin, N. et al. The explainable potential of coupling hybridized metaheuristics, xgboost, and shap in revealing toluene behavior in the atmosphere. Sci. Total Environ. 929, 172195 (2024).","journal-title":"Sci. Total Environ."},{"key":"87455_CR17","doi-asserted-by":"publisher","first-page":"317","DOI":"10.32604\/csse.2022.020487","volume":"43","author":"R Latha","year":"2022","unstructured":"Latha, R. et al. Feature selection using grey wolf optimization with random differential grouping. Comput. Syst. Sci. Eng. 43, 317\u2013332 (2022).","journal-title":"Comput. Syst. Sci. Eng."},{"key":"87455_CR18","doi-asserted-by":"crossref","unstructured":"Harrison, K.\u00a0R., Engelbrecht, A.\u00a0P. & Ombuki-Berman, B.\u00a0M. An adaptive particle swarm optimization algorithm based on optimal parameter regions. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1\u20138 (IEEE, 2017).","DOI":"10.1109\/SSCI.2017.8285342"},{"key":"87455_CR19","doi-asserted-by":"publisher","first-page":"6772","DOI":"10.1080\/00207543.2021.1887534","volume":"60","author":"X Xu","year":"2022","unstructured":"Xu, X., Lin, Z., Li, X., Shang, C. & Shen, Q. Multi-objective robust optimisation model for mdvrpls in refined oil distribution. Int. J. Prod. Res. 60, 6772\u20136792 (2022).","journal-title":"Int. J. Prod. Res."},{"key":"87455_CR20","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1109\/TEVC.2002.802452","volume":"6","author":"RS Parpinelli","year":"2002","unstructured":"Parpinelli, R. S., Lopes, H. S. & Freitas, A. A. Data mining with an ant colony optimization algorithm. IEEE Trans. Evol. Comput. 6, 321\u2013332 (2002).","journal-title":"IEEE Trans. Evol. Comput."},{"key":"87455_CR21","doi-asserted-by":"publisher","first-page":"6563498","DOI":"10.1155\/2017\/6563498","volume":"2017","author":"M Rajeswari","year":"2017","unstructured":"Rajeswari, M., Amudhavel, J., Pothula, S. & Dhavachelvan, P. Directed bee colony optimization algorithm to solve the nurse rostering problem. Comput. Intell. Neurosci. 2017, 6563498 (2017).","journal-title":"Comput. Intell. Neurosci."},{"key":"87455_CR22","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S. & Lewis, A. The whale optimization algorithm. Adv. Eng. Softw. 95, 51\u201367 (2016).","journal-title":"Adv. Eng. Softw."},{"key":"87455_CR23","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili, S. The ant lion optimizer. Adv. Eng. Softw. 83, 80\u201398 (2015).","journal-title":"Adv. Eng. Softw."},{"key":"87455_CR24","doi-asserted-by":"publisher","first-page":"27813","DOI":"10.1038\/s41598-024-79464-2","volume":"14","author":"X Jin","year":"2024","unstructured":"Jin, X., Zhang, S., Ding, Y. & Wang, Z. Task offloading for multi-server edge computing in industrial internet with joint load balance and fuzzy security. Sci. Rep. 14, 27813 (2024).","journal-title":"Sci. Rep."},{"key":"87455_CR25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0308474","volume":"19","author":"N Mashru","year":"2024","unstructured":"Mashru, N., Tejani, G. G., Patel, P. & Khishe, M. Optimal truss design with moho: A multi-objective optimization perspective. PLoS One 19, e0308474 (2024).","journal-title":"PLoS One"},{"key":"87455_CR26","first-page":"1088","volume":"49","author":"A Yan","year":"2023","unstructured":"Yan, A. & Yan, J. Method of feature weight optimization based on grey wolf and bird swarm algorithm. J. Beijing Univ. Technol. 49, 1088\u20131098 (2023).","journal-title":"J. Beijing Univ. Technol."},{"key":"87455_CR27","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S. M. & Lewis, A. Grey wolf optimizer. Adv. Eng. Softw. 69, 46\u201361 (2014).","journal-title":"Adv. Eng. Softw."},{"key":"87455_CR28","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s42044-022-00104-x","volume":"5","author":"J Abdollahi","year":"2022","unstructured":"Abdollahi, J. & Nouri-Moghaddam, B. A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation. Iran J. Comput. Sci. 5, 229\u2013246 (2022).","journal-title":"Iran J. Comput. Sci."},{"key":"87455_CR29","doi-asserted-by":"crossref","unstructured":"Umarani, N., Samanta, D. & Chakraborty, P. Machine learning technology-based heart disease detection models. J. Healthc. Eng. (2022).","DOI":"10.1155\/2022\/7351061"},{"key":"87455_CR30","doi-asserted-by":"publisher","first-page":"3614","DOI":"10.3390\/math10193614","volume":"10","author":"AA Abdelhamid","year":"2022","unstructured":"Abdelhamid, A. A. et al. Classification of monkeypox images based on transfer learning and the al-biruni earth radius optimization algorithm. Mathematics 10, 3614 (2022).","journal-title":"Mathematics"},{"key":"87455_CR31","doi-asserted-by":"crossref","unstructured":"Arora, K. et al. Using deep learning algorithms for accurate diagnosis and outbreak prediction of monkeypox. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), 1\u20135 (IEEE, 2024).","DOI":"10.1109\/ICIPTM59628.2024.10563418"},{"key":"87455_CR32","doi-asserted-by":"publisher","first-page":"313","DOI":"10.3390\/biomimetics8030313","volume":"8","author":"AH Alharbi","year":"2023","unstructured":"Alharbi, A. H. et al. Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm. Biomimetics 8, 313 (2023).","journal-title":"Biomimetics"},{"key":"87455_CR33","doi-asserted-by":"publisher","first-page":"4422","DOI":"10.3390\/ijerph20054422","volume":"20","author":"AS Jaradat","year":"2023","unstructured":"Jaradat, A. S. et al. Automated monkeypox skin lesion detection using deep learning and transfer learning techniques. Int. J. Environ. Res. Public Health 20, 4422 (2023).","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"87455_CR34","doi-asserted-by":"publisher","first-page":"4077","DOI":"10.3390\/electronics11244077","volume":"11","author":"SA Almutairi","year":"2022","unstructured":"Almutairi, S. A. Dl-mdf-oh2: optimized deep learning-based monkeypox diagnostic framework using the metaheuristic harris hawks optimizer algorithm. Electronics 11, 4077 (2022).","journal-title":"Electronics"},{"key":"87455_CR35","doi-asserted-by":"publisher","first-page":"2225698","DOI":"10.1080\/27690911.2023.2225698","volume":"31","author":"T Nayak","year":"2023","unstructured":"Nayak, T. et al. Detection of monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence. Appl. Math. Sci. Eng. 31, 2225698 (2023).","journal-title":"Appl. Math. Sci. Eng."},{"key":"87455_CR36","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1186\/s12879-023-08408-4","volume":"23","author":"A Sorayaie Azar","year":"2023","unstructured":"Sorayaie Azar, A. et al. Monkeypox detection using deep neural networks. BMC Infect. Dis. 23, 438 (2023).","journal-title":"BMC Infect. Dis."},{"key":"87455_CR37","doi-asserted-by":"crossref","unstructured":"Hapsari, R.\u00a0K. et al. Optimization based random forest algorithm modification for detecting monkeypox disease. In 2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE), 340\u2013346 (IEEE, 2023).","DOI":"10.1109\/ICVEE59738.2023.10348223"},{"key":"87455_CR38","doi-asserted-by":"publisher","first-page":"5366","DOI":"10.1109\/TNNLS.2022.3165627","volume":"34","author":"J-Y Xia","year":"2022","unstructured":"Xia, J.-Y. et al. Metalearning-based alternating minimization algorithm for nonconvex optimization. IEEE Trans. Neural Netw. Learn. Syst. 34, 5366\u20135380 (2022).","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"87455_CR39","doi-asserted-by":"crossref","unstructured":"Lin, W. et al. Programmable macrophage vesicle based bionic self-adjuvanting vaccine for immunization against monkeypox virus. Adv. Sci. 2408608 (2024).","DOI":"10.1002\/advs.202408608"},{"key":"87455_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105409","volume":"145","author":"Y Su","year":"2022","unstructured":"Su, Y. et al. Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis. Comput. Biol. Med. 145, 105409 (2022).","journal-title":"Comput. Biol. Med."},{"key":"87455_CR41","doi-asserted-by":"publisher","first-page":"6283","DOI":"10.1002\/int.22844","volume":"37","author":"H Huang","year":"2022","unstructured":"Huang, H., Wu, N., Liang, Y., Peng, X. & Shu, J. Slnl: a novel method for gene selection and phenotype classification. Int. J. Intell. Syst. 37, 6283\u20136304 (2022).","journal-title":"Int. J. Intell. Syst."},{"key":"87455_CR42","doi-asserted-by":"publisher","first-page":"2632","DOI":"10.3390\/diagnostics14232632","volume":"14","author":"A Yaqoob","year":"2024","unstructured":"Yaqoob, A., Mir, M. A., Jagannadha Rao, G. & Tejani, G. G. Transforming cancer classification: The role of advanced gene selection. Diagnostics 14, 2632 (2024).","journal-title":"Diagnostics"},{"key":"87455_CR43","doi-asserted-by":"crossref","unstructured":"Fan, Z., Liu, Y., Ye, Y. & Liao, Y. Functional probes for the diagnosis and treatment of infectious diseases. Aggregate e620 (2024).","DOI":"10.1002\/agt2.620"},{"key":"87455_CR44","doi-asserted-by":"crossref","unstructured":"Rampogu, S. A review on the use of machine learning techniques in monkeypox disease prediction. Sci. One Health 100040 (2023).","DOI":"10.1016\/j.soh.2023.100040"},{"key":"87455_CR45","doi-asserted-by":"crossref","unstructured":"Mansour, N.\u00a0A., Saleh, A.\u00a0I., Badawy, M. & Ali, H.\u00a0A. Accurate detection of covid-19 patients based on feature correlated na\u00efve bayes (fcnb) classification strategy. J. Ambient Intell. Hum. Comput. 1\u201333 (2022).","DOI":"10.1007\/s12652-020-02883-2"},{"key":"87455_CR46","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1016\/j.net.2018.03.010","volume":"50","author":"J Yang","year":"2018","unstructured":"Yang, J. & Kim, J. An accident diagnosis algorithm using long short-term memory. Nucl. Eng. Technol. 50, 582\u2013588 (2018).","journal-title":"Nucl. Eng. Technol."},{"key":"87455_CR47","doi-asserted-by":"publisher","first-page":"1387","DOI":"10.3390\/w11071387","volume":"11","author":"X-H Le","year":"2019","unstructured":"Le, X.-H., Ho, H. V., Lee, G. & Jung, S. Application of long short-term memory (lstm) neural network for flood forecasting. Water 11, 1387 (2019).","journal-title":"Water"},{"key":"87455_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105362","volume":"144","author":"X Wu","year":"2022","unstructured":"Wu, X. et al. Long short-term memory model-a deep learning approach for medical data with irregularity in cancer predication with tumor markers. Comput. Biol. Med. 144, 105362 (2022).","journal-title":"Comput. Biol. Med."},{"key":"87455_CR49","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s10586-018-2848-x","volume":"22","author":"AH Rabie","year":"2019","unstructured":"Rabie, A. H., Ali, S. H., Ali, H. A. & Saleh, A. I. A fog based load forecasting strategy for smart grids using big electrical data. Clust. Comput. 22, 241\u2013270 (2019).","journal-title":"Clust. Comput."},{"key":"87455_CR50","doi-asserted-by":"publisher","first-page":"99129","DOI":"10.1109\/ACCESS.2022.3207287","volume":"10","author":"ID Mienye","year":"2022","unstructured":"Mienye, I. D. & Sun, Y. A survey of ensemble learning: Concepts, algorithms, applications, and prospects. IEEE Access 10, 99129\u201399149 (2022).","journal-title":"IEEE Access"},{"key":"87455_CR51","unstructured":"Nile Lab for Artificial Intelligence (AI). MonkeyPox. http:\/\/covid19.nilehi.edu.eg\/Available_datasets.php (Accessed 26 July 2022)."},{"key":"87455_CR52","doi-asserted-by":"publisher","first-page":"12201","DOI":"10.1007\/s00521-019-04368-6","volume":"32","author":"H Chantar","year":"2020","unstructured":"Chantar, H. et al. Feature selection using binary grey wolf optimizer with elite-based crossover for arabic text classification. Neural Comput. Appl. 32, 12201\u201312220 (2020).","journal-title":"Neural Comput. Appl."},{"key":"87455_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113917","volume":"166","author":"MH Nadimi-Shahraki","year":"2021","unstructured":"Nadimi-Shahraki, M. H., Taghian, S. & Mirjalili, S. An improved grey wolf optimizer for solving engineering problems. Expert Syst. Appl. 166, 113917 (2021).","journal-title":"Expert Syst. Appl."},{"key":"87455_CR54","doi-asserted-by":"publisher","first-page":"14190","DOI":"10.1038\/s41598-024-64526-2","volume":"14","author":"Y Qiu","year":"2024","unstructured":"Qiu, Y., Yang, X. & Chen, S. An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems. Sci. Rep. 14, 14190 (2024).","journal-title":"Sci. Rep."},{"key":"87455_CR55","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.procs.2019.11.289","volume":"162","author":"E Tuba","year":"2019","unstructured":"Tuba, E., Strumberger, I., Bezdan, T., Bacanin, N. & Tuba, M. Classification and feature selection method for medical datasets by brain storm optimization algorithm and support vector machine. Procedia Comput. Sci. 162, 307\u2013315 (2019).","journal-title":"Procedia Comput. Sci."},{"key":"87455_CR56","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2022.829519","volume":"10","author":"MO Edeh","year":"2022","unstructured":"Edeh, M. O. et al. A classification algorithm-based hybrid diabetes prediction model. Front. Public Health 10, 829519 (2022).","journal-title":"Front. Public Health"},{"key":"87455_CR57","doi-asserted-by":"publisher","first-page":"2391","DOI":"10.3390\/diagnostics13142391","volume":"13","author":"A Farzipour","year":"2023","unstructured":"Farzipour, A., Elmi, R. & Nasiri, H. Detection of monkeypox cases based on symptoms using xgboost and shapley additive explanations methods. Diagnostics 13, 2391 (2023).","journal-title":"Diagnostics"},{"key":"87455_CR58","doi-asserted-by":"crossref","unstructured":"Eid, M.\u00a0M. et al. Meta-heuristic optimization of lstm-based deep network for boosting the prediction of monkeypox cases. Mathematics10 (2022).","DOI":"10.3390\/math10203845"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-87455-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-87455-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-87455-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T17:46:11Z","timestamp":1738259171000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-87455-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,30]]},"references-count":58,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["87455"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-87455-0","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,30]]},"assertion":[{"value":"28 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2025","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":"3819"}}