{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T03:53:28Z","timestamp":1770782008528,"version":"3.50.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:00:00Z","timestamp":1768780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T00:00:00Z","timestamp":1770681600000},"content-version":"vor","delay-in-days":22,"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\/s41598-026-36210-0","type":"journal-article","created":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T18:54:26Z","timestamp":1768848866000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Forecasting occupational accidents in Turkey using multivariate ARMAX and NLARX models"],"prefix":"10.1038","volume":"16","author":[{"given":"Selcan","family":"Kaplanvural","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eren","family":"Tosyal\u0131","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u0130smail","family":"Ekmek\u00e7i","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,19]]},"reference":[{"key":"36210_CR1","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1111\/j.1468-2370.2011.00319.x","volume":"14","author":"M Zanko","year":"2012","unstructured":"Zanko, M. & Dawson, P. Occupational health and safety management in organizations: A review. Int. J. Manag. Rev. 14, 328\u2013344. https:\/\/doi.org\/10.1111\/j.1468-2370.2011.00319.x (2012).","journal-title":"Int. J. Manag. Rev."},{"key":"36210_CR2","unstructured":"World Health Organization. Occupational health. https:\/\/www.who.int\/health-topics\/occupational-health (n.d). Accessed 20 February 2025."},{"key":"36210_CR3","doi-asserted-by":"publisher","first-page":"243","DOI":"10.58209\/hehp.12.2.243","volume":"12","author":"S Suharni","year":"2024","unstructured":"Suharni, S. Prioritizing occupational safety, health, and wellbeing; An analysis of imperative public health trends. Health Educ. Health Promot. 12, 243\u2013254. https:\/\/doi.org\/10.58209\/hehp.12.2.243 (2024).","journal-title":"Health Educ. Health Promot."},{"key":"36210_CR4","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.ssci.2008.01.006","volume":"47","author":"FE Ciarapica","year":"2009","unstructured":"Ciarapica, F. E. & Giacchetta, G. Classification and prediction of occupational injury risk using soft computing techniques: An Italian study. Saf. Sci. 47, 36\u201349. https:\/\/doi.org\/10.1016\/j.ssci.2008.01.006 (2009).","journal-title":"Saf. Sci."},{"key":"36210_CR5","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.jlp.2006.02.001","volume":"19","author":"D Attwood","year":"2006","unstructured":"Attwood, D., Khan, F. & Veitch, B. Occupational accident models-where have we been and where are we going?. J. Loss Prev. Process Ind. 19, 664\u2013682. https:\/\/doi.org\/10.1016\/j.jlp.2006.02.001 (2006).","journal-title":"J. Loss Prev. Process Ind."},{"key":"36210_CR6","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1080\/00140138308963310","volume":"26","author":"R Andersson","year":"1983","unstructured":"Andersson, R. & Lagerl\u00f6f, E. Accident data in the new Swedish information system on occupational injuries. Ergonomics 26, 33\u201342. https:\/\/doi.org\/10.1080\/00140138308963310 (1983).","journal-title":"Ergonomics"},{"key":"36210_CR7","doi-asserted-by":"publisher","first-page":"9045","DOI":"10.3390\/app14199045","volume":"14","author":"H Eker","year":"2024","unstructured":"Eker, H. Natural language processing risk assessment application developed for marble quarries. Appl. Sci. 14, 9045 (2024).","journal-title":"Appl. Sci."},{"key":"36210_CR8","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s40030-022-00690-w","volume":"103","author":"MR George","year":"2022","unstructured":"George, M. R., Nalluri, M. R. & Anand, K. Application of ensemble machine learning for construction safety risk assessment. J. Inst. Eng. (India) Ser. A 103, 989\u20131003 (2022).","journal-title":"J. Inst. Eng. (India) Ser. A"},{"key":"36210_CR9","doi-asserted-by":"publisher","first-page":"180171","DOI":"10.1109\/ACCESS.2020.3028235","volume":"8","author":"F Deng","year":"2020","unstructured":"Deng, F., Gu, W., Zeng, W., Zhang, Z. & Wang, F. Hazardous chemical accident prevention based on k-means clustering analysis of incident information. IEEE Access 8, 180171\u2013180183 (2020).","journal-title":"IEEE Access"},{"key":"36210_CR10","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.ress.2014.06.006","volume":"131","author":"L Zhang","year":"2014","unstructured":"Zhang, L., Wu, X., Skibniewski, M. J., Zhong, J. & Lu, Y. Bayesian-network-based safety risk analysis in construction projects. Reliab. Eng. Syst. Saf. 131, 29\u201339 (2014).","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"36210_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103089","volume":"113","author":"B Zhong","year":"2020","unstructured":"Zhong, B., Pan, X., Love, P. E., Ding, L. & Fang, W. Deep learning and network analysis: Classifying and visualizing accident narratives in construction. Autom. Constr. 113, 103089 (2020).","journal-title":"Autom. Constr."},{"key":"36210_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2023.103802","volume":"85","author":"T Tingjiang","year":"2023","unstructured":"Tingjiang, T., Enyuan, W., Ke, Z. & Changfang, G. Research on assisting coal mine hazard investigation for accident prevention through text mining and deep learning. Resour. Policy 85, 103802 (2023).","journal-title":"Resour. Policy"},{"key":"36210_CR13","volume-title":"Time Series Analysis: Forecasting and Control","author":"GE Box","year":"2015","unstructured":"Box, G. E., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. Time Series Analysis: Forecasting and Control 5th edn. (Wiley, 2015).","edition":"5"},{"key":"36210_CR14","doi-asserted-by":"publisher","first-page":"24","DOI":"10.30657\/pea.2018.18.04","volume":"18","author":"S Rajaprasad","year":"2018","unstructured":"Rajaprasad, S. Prediction of fatal accidents in Indian factories based on Arima. Prod. Eng. Arch. 18, 24\u201330. https:\/\/doi.org\/10.30657\/pea.2018.18.04 (2018).","journal-title":"Prod. Eng. Arch."},{"key":"36210_CR15","doi-asserted-by":"publisher","first-page":"22","DOI":"10.46660\/ijeeg.v11i4.293","volume":"11","author":"KS Shah","year":"2020","unstructured":"Shah, K. S., Khan, S., Abbass, N., Rahman, A. & Khan, N. M. Analysis and forecast of mining fatalities in Cherat coal field, Pakistan: Analysis and forecast of mining fatalities in Cherat coal field, Pakistan. Int. J. Econ. Environ. Geol. 11, 22\u201326. https:\/\/doi.org\/10.46660\/ijeeg.v11i4.293 (2020).","journal-title":"Int. J. Econ. Environ. Geol."},{"key":"36210_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2022.106014","volume":"159","author":"A Verma","year":"2023","unstructured":"Verma, A., Dhalmahapatra, K. & Maiti, J. Forecasting occupational safety performance and mining text-based association rules for incident occurrences. Saf. Sci. 159, 106014. https:\/\/doi.org\/10.1016\/j.ssci.2022.106014 (2023).","journal-title":"Saf. Sci."},{"key":"36210_CR17","doi-asserted-by":"crossref","unstructured":"Grigonyt\u0117, E. & Butkevi\u010di\u016bt\u0117, E. Short-term wind speed forecasting using arima model. Energetika 62 (2016).","DOI":"10.6001\/energetika.v62i1-2.3313"},{"key":"36210_CR18","doi-asserted-by":"crossref","unstructured":"Cho, M., Hwang, J. & Chen, C. Customer short term load forecasting by using Arima transfer function model. In Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD\u201995, vol.\u00a01, 317\u2013322 (IEEE, 1995).","DOI":"10.1109\/EMPD.1995.500746"},{"key":"36210_CR19","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1111\/j.1439-0426.1991.tb00597.x","volume":"7","author":"K Stergiou","year":"1991","unstructured":"Stergiou, K. Short-term fisheries forecasting: comparison of smoothing, arima and regression techniques. J. Appl. Ichthyol. 7, 193\u2013204 (1991).","journal-title":"J. Appl. Ichthyol."},{"key":"36210_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.amar.2013.09.001","volume":"1","author":"FL Mannering","year":"2014","unstructured":"Mannering, F. L. & Bhat, C. R. Analytic methods in accident research: Methodological frontier and future directions. Anal. Methods Accident Res. 1, 1\u201322 (2014).","journal-title":"Anal. Methods Accident Res."},{"key":"36210_CR21","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1016\/j.ress.2010.07.003","volume":"95","author":"MC Carnero","year":"2010","unstructured":"Carnero, M. C. & Pedregal, D. J. Modelling and forecasting occupational accidents of different severity levels in Spain. Reliab. Eng. Syst. Saf. 95, 1134\u20131141 (2010).","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"36210_CR22","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.ssci.2017.06.012","volume":"98","author":"C Zhou","year":"2017","unstructured":"Zhou, C., Ding, L., Skibniewski, M. J., Luo, H. & Jiang, S. Characterizing time series of near-miss accidents in metro construction via complex network theory. Saf. Sci. 98, 145\u2013158. https:\/\/doi.org\/10.1016\/j.ssci.2017.06.012 (2017).","journal-title":"Saf. Sci."},{"key":"36210_CR23","doi-asserted-by":"publisher","unstructured":"Bairami-Khankandi, S., Bolbot, V., BahooToroody, A. & Goerlandt, F. A systems-theoretic approach using association rule mining and predictive bayesian trend analysis to identify patterns in maritime accident causes. Reliab. Eng. Syst. Saf. 110911. https:\/\/doi.org\/10.1016\/j.ress.2025.110911 (2025).","DOI":"10.1016\/j.ress.2025.110911"},{"key":"36210_CR24","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.ijforecast.2020.09.010","volume":"37","author":"C Melchior","year":"2021","unstructured":"Melchior, C., Zanini, R. R., Guerra, R. R. & Rockenbach, D. A. Forecasting Brazilian mortality rates due to occupational accidents using autoregressive moving average approaches. Int. J. Forecast. 37, 825\u2013837 (2021).","journal-title":"Int. J. Forecast."},{"key":"36210_CR25","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1186\/s12889-025-21583-0","volume":"25","author":"Z Cao","year":"2025","unstructured":"Cao, Z., Zhou, T., Miao, S., Wang, L. & Wang, Z. Exploring the economic occupational health, safety, and fatal accidents in high-risk industries. BMC Public Health 25, 433 (2025).","journal-title":"BMC Public Health"},{"key":"36210_CR26","volume-title":"System Identification","author":"L Ljung","year":"1995","unstructured":"Ljung, L. System Identification (Linkoping University, 1995)."},{"key":"36210_CR27","doi-asserted-by":"publisher","first-page":"23985","DOI":"10.1038\/s41598-024-74938-9","volume":"14","author":"S Kaplanvural","year":"2024","unstructured":"Kaplanvural, S., Tosyal\u0131, E. & Ekmek\u00e7i, \u0130. A new approach to determine occupational accident dynamics by using ordinary differential equations based on sir model. Sci. Rep. 14, 23985. https:\/\/doi.org\/10.1038\/s41598-024-74938-9 (2024).","journal-title":"Sci. Rep."},{"key":"36210_CR28","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/j.ssci.2008.08.001","volume":"47","author":"S Unsar","year":"2009","unstructured":"Unsar, S. & Sut, N. General assessment of the occupational accidents that occurred in turkey between the years 2000 and 2005. Saf. Sci. 47, 614\u2013619. https:\/\/doi.org\/10.1016\/j.ssci.2008.08.001 (2009).","journal-title":"Saf. Sci."},{"key":"36210_CR29","unstructured":"Social Security Provincial\/Central Directorates, D. o.\u00a0A., General Directorate of Service Delivery & Management, F. Work accident and occupational diseases statistics."},{"key":"36210_CR30","doi-asserted-by":"publisher","first-page":"45","DOI":"10.29137\/umagd.937910","volume":"14","author":"H Ceylan","year":"2022","unstructured":"Ceylan, H., Kaplan, A. & Bekar, M. High-risky sectors in terms of work accidents in turkey. Int. J. Eng. Res. Dev. 14, 45\u201357. https:\/\/doi.org\/10.29137\/umagd.937910 (2022).","journal-title":"Int. J. Eng. Res. Dev."},{"key":"36210_CR31","doi-asserted-by":"publisher","first-page":"53","DOI":"10.33720\/kisgd.479803","volume":"2","author":"\u00d6 \u00d6ney","year":"2018","unstructured":"\u00d6ney, \u00d6., Samanl\u0131, S. & \u00d6zmen, S. Madencilik sekt\u00f6r\u00fcndeki \u00f6l\u00fcml\u00fc i\u015f kazalar\u0131n\u0131n analizi. Karaelmas J. Occup. Health Saf. 2, 53\u201361. https:\/\/doi.org\/10.33720\/kisgd.479803 (2018).","journal-title":"Karaelmas J. Occup. Health Saf."},{"key":"36210_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.29137\/umagd.346068","volume":"6","author":"H Ceylan","year":"2014","unstructured":"Ceylan, H. T\u00fcrkiye\u2019de in\u015faat sekt\u00f6r\u00fcnde meydana gelen i\u015f kazalar\u0131n\u0131n analizi. Int. J. Eng. Res. Dev. 6, 1\u20136. https:\/\/doi.org\/10.29137\/umagd.346068 (2014).","journal-title":"Int. J. Eng. Res. Dev."},{"key":"36210_CR33","first-page":"153","volume":"2012","author":"A Korkmaz","year":"2012","unstructured":"Korkmaz, A. & Avsall\u0131, H. \u00c7al\u0131\u015fma hayat\u0131nda yeni bir d\u00f6nem: 6331 say\u0131l\u0131 i\u015f sa\u011fl\u0131\u011f\u0131 ve g\u00fcvenli\u011fi yasas\u0131. S\u00fcleyman Demirel \u00dcniversitesi Fen-Edebiyat Fak\u00fcltesi Sosyal Bilimler Dergisi 2012, 153\u2013167 (2012).","journal-title":"S\u00fcleyman Demirel \u00dcniversitesi Fen-Edebiyat Fak\u00fcltesi Sosyal Bilimler Dergisi"},{"key":"36210_CR34","unstructured":"Social Security Provincial\/Central Directorates, General Directorate of Service Delivery, Department of Actuarial and Fund Management. https:\/\/www.sgk.gov.tr\/Istatistik\/Yillik\/fcd5e59b-6af9-4d90-a451-ee7500eb1cb4 (2023). Accessed 06.02.2023."},{"key":"36210_CR35","first-page":"52","volume":"1","author":"I Akg\u00fcl","year":"1994","unstructured":"Akg\u00fcl, I. Time series analysis and forecasting models. Recommend. Marmara Univ. Soc. Sci. Inst. J. 1, 52\u201369 (1994).","journal-title":"Recommend. Marmara Univ. Soc. Sci. Inst. J."},{"key":"36210_CR36","volume-title":"Analysis of Economic Time Series: A Synthesis","author":"M Nerlove","year":"2014","unstructured":"Nerlove, M., Grether, D. M. & Carvalho, J. L. Analysis of Economic Time Series: A Synthesis 1st edn. (Academic Press, 2014).","edition":"1"},{"key":"36210_CR37","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1016\/j.jbankfin.2010.12.007","volume":"35","author":"YS Kim","year":"2011","unstructured":"Kim, Y. S., Rachev, S. T., Bianchi, M. L., Mitov, I. & Fabozzi, F. J. Time series analysis for financial market meltdowns. J. Bank. Finance 35, 1879\u20131891. https:\/\/doi.org\/10.1016\/j.jbankfin.2010.12.007 (2011).","journal-title":"J. Bank. Finance"},{"key":"36210_CR38","doi-asserted-by":"publisher","first-page":"2255","DOI":"10.1016\/j.ecolecon.2009.02.021","volume":"68","author":"J Baek","year":"2009","unstructured":"Baek, J., Cho, Y. & Koo, W. W. The environmental consequences of globalization: A country-specific time-series analysis. Ecol. Econ. 68, 2255\u20132264. https:\/\/doi.org\/10.1016\/j.ecolecon.2009.02.021 (2009).","journal-title":"Ecol. Econ."},{"key":"36210_CR39","doi-asserted-by":"publisher","unstructured":"Yule, G.\u00a0U. VII. On a method of investigating periodicities disturbed series, with special reference to wolfer\u2019s sunspot numbers. Philos. Trans. R. Soc. Lond. Ser. A Contain. Papers Math. Phys. Char. 226, 267\u2013298. https:\/\/doi.org\/10.1098\/rsta.1927.0007 (1927).","DOI":"10.1098\/rsta.1927.0007"},{"key":"36210_CR40","doi-asserted-by":"publisher","first-page":"19617","DOI":"10.1007\/s11356-023-25148-9","volume":"30","author":"J Kaur","year":"2023","unstructured":"Kaur, J., Parmar, K. S. & Singh, S. Autoregressive models in environmental forecasting time series: a theoretical and application review. Environ. Sci. Pollut. Res. 30, 19617\u201319641. https:\/\/doi.org\/10.1007\/s11356-023-25148-9 (2023).","journal-title":"Environ. Sci. Pollut. Res."},{"key":"36210_CR41","doi-asserted-by":"crossref","unstructured":"Patterson, K. An introduction to arma models. In Unit Root Tests in Time Series: Key Concepts and Problems, 68\u2013122 (Springer, 2011).","DOI":"10.1057\/9780230299306"},{"key":"36210_CR42","doi-asserted-by":"crossref","unstructured":"Makridakis, S. & Hibon, M. Arma models and the box-Jenkins methodology. Journal of forecasting16, 147\u2013163. https:\/\/doi.org\/10.1002\/(SICI)1099-131X(199705)16:3<147::AID-FOR652>3.0.CO;2-X (1997).","DOI":"10.1002\/(SICI)1099-131X(199705)16:3<147::AID-FOR652>3.0.CO;2-X"},{"key":"36210_CR43","first-page":"981","volume":"19","author":"V Jadhav","year":"2017","unstructured":"Jadhav, V., Chinnappa, R. B. & Gaddi, G. Application of Arima model for forecasting agricultural prices. J. Agricult. Sci. Technol. (JAST) 19, 981\u2013992 (2017).","journal-title":"J. Agricult. Sci. Technol. (JAST)"},{"key":"36210_CR44","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/BF00167127","volume":"9","author":"NL Nihan","year":"1980","unstructured":"Nihan, N. L. & Holmesland, K. O. Use of the box and Jenkins time series technique in traffic forecasting. Transportation 9, 125\u2013143. https:\/\/doi.org\/10.1007\/BF00167127 (1980).","journal-title":"Transportation"},{"key":"36210_CR45","doi-asserted-by":"crossref","unstructured":"Prasad, G. L.\u00a0V., Teja, B.\u00a0R., Govathoti, S. & Dhanikonda, S. Leveraging arma and armax time-series forecasting models for rainfall prediction. In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), vol.\u00a01, 353\u2013357 (IEEE, 2023).","DOI":"10.1109\/ICACCS57279.2023.10113031"},{"key":"36210_CR46","doi-asserted-by":"crossref","unstructured":"Likothanassis, S. & Demiris, E. Armax model identification with unknown process order and time-varying parameters. In Signal Analysis and Prediction, 175\u2013184 (Springer, 1998).","DOI":"10.1007\/978-1-4612-1768-8_12"},{"key":"36210_CR47","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1016\/j.tourman.2003.08.001","volume":"25","author":"M Akal","year":"2004","unstructured":"Akal, M. Forecasting turkey\u2019s tourism revenues by armax model. Tour. Manag. 25, 565\u2013580. https:\/\/doi.org\/10.1016\/j.tourman.2003.08.001 (2004).","journal-title":"Tour. Manag."},{"key":"36210_CR48","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1109\/10.376135","volume":"42","author":"DJ Christini","year":"1995","unstructured":"Christini, D. J. et al. Application of linear and nonlinear time series modeling to heart rate dynamics analysis. IEEE Trans. Biomed. Eng. 42, 411\u2013415. https:\/\/doi.org\/10.1109\/10.376135 (1995).","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"36210_CR49","doi-asserted-by":"publisher","first-page":"1430","DOI":"10.1049\/iet-rpg.2016.0972","volume":"11","author":"O Karaku\u015f","year":"2017","unstructured":"Karaku\u015f, O., Kuruo\u011flu, E. E. & Alt\u0131nkaya, M. A. One-day ahead wind speed\/power prediction based on polynomial autoregressive model. IET Renew. Power Gener. 11, 1430\u20131439. https:\/\/doi.org\/10.1049\/iet-rpg.2016.0972 (2017).","journal-title":"IET Renew. Power Gener."},{"key":"36210_CR50","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/dspr.2001.0416","volume":"12","author":"EE Kuruo\u01e7lu","year":"2002","unstructured":"Kuruo\u01e7lu, E. E. Nonlinear least LP-norm filters for nonlinear autoregressive $$\\alpha$$-stable processes. Digital Signal Process. 12, 119\u2013142. https:\/\/doi.org\/10.1006\/dspr.2001.0416 (2002).","journal-title":"Digital Signal Process."},{"key":"36210_CR51","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1109\/TASSP.1985.1164730","volume":"33","author":"T Koh","year":"1985","unstructured":"Koh, T. & Powers, E. Second-order volterra filtering and its application to nonlinear system identification. IEEE Trans. Acoust. Speech Signal Process. 33, 1445\u20131455 (1985).","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"36210_CR52","doi-asserted-by":"crossref","unstructured":"Akaike, H. Fitting autoregreesive models for prediction. In Selected Papers of Hirotugu Akaike, 131\u2013135 (Springer, 1969).","DOI":"10.1007\/978-1-4612-1694-0_10"},{"key":"36210_CR53","doi-asserted-by":"publisher","first-page":"20190284","DOI":"10.1098\/rsta.2019.0284","volume":"378","author":"CM Ionescu","year":"2020","unstructured":"Ionescu, C. M., Birs, I. R., Copot, D., Muresan, C. I. & Caponetto, R. Mathematical modelling with experimental validation of viscoelastic properties in non-Newtonian fluids. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 378, 20190284. https:\/\/doi.org\/10.1098\/rsta.2019.0284 (2020) https:\/\/royalsocietypublishing.org\/rsta\/article-pdf\/doi\/10.1098\/rsta.2019.0284\/1318028\/rsta.2019.0284.pdf.","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-36210-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-36210-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-36210-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T23:03:20Z","timestamp":1770764600000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-36210-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,19]]},"references-count":53,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["36210"],"URL":"https:\/\/doi.org\/10.1038\/s41598-026-36210-0","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,19]]},"assertion":[{"value":"29 September 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 January 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"}},{"value":"This study did not require ethical approval as it utilized publicly available data from the Turkish Social Security Institution (SSI), which does not include any personal or identifiable information.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}}],"article-number":"5696"}}