{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T06:13:52Z","timestamp":1784873632433,"version":"3.55.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12171100"],"award-info":[{"award-number":["12171100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Sci Comput"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s10915-024-02664-5","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T11:01:54Z","timestamp":1726830114000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Riemannian Trust Region Methods for $$\\hbox {SC}^1$$ Minimization"],"prefix":"10.1007","volume":"101","author":[{"given":"Chenyu","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rufeng","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6610-6778","authenticated-orcid":false,"given":"Rujun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,20]]},"reference":[{"issue":"1","key":"2664_CR1","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/s10915-018-0857-9","volume":"79","author":"JF Cai","year":"2019","unstructured":"Cai, J.F., Liu, H., Wang, Y.: Fast rank-one alternating minimization algorithm for phase retrieval. J. Sci. Comput. 79(1), 128\u2013147 (2019)","journal-title":"J. Sci. Comput."},{"issue":"1","key":"2664_CR2","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TIT.2017.2745623","volume":"64","author":"T Bendory","year":"2017","unstructured":"Bendory, T., Eldar, Y.C., Boumal, N.: Non-convex phase retrieval from stft measurements. IEEE Trans. Inf. Theory 64(1), 467\u2013484 (2017)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"4","key":"2664_CR3","doi-asserted-by":"publisher","first-page":"2355","DOI":"10.1137\/16M105808X","volume":"26","author":"N Boumal","year":"2016","unstructured":"Boumal, N.: Nonconvex phase synchronization. SIAM J. Optim. 26(4), 2355\u20132377 (2016)","journal-title":"SIAM J. Optim."},{"issue":"4","key":"2664_CR4","doi-asserted-by":"publisher","first-page":"2426","DOI":"10.1137\/16M110109X","volume":"27","author":"H Liu","year":"2017","unstructured":"Liu, H., Yue, M.C., So, A.M.C.: On the estimation performance and convergence rate of the generalized power method for phase synchronization. SIAM J. Optim. 27(4), 2426\u20132446 (2017)","journal-title":"SIAM J. Optim."},{"key":"2664_CR5","unstructured":"Boumal, N., Absil, P.A.: Rtrmc: a riemannian trust-region method for low-rank matrix completion. Adv. Neural Inf. Process. Syst. 24 (2011)"},{"issue":"2","key":"2664_CR6","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1137\/110845768","volume":"23","author":"B Vandereycken","year":"2013","unstructured":"Vandereycken, B.: Low-rank matrix completion by riemannian optimization. SIAM J. Optim. 23(2), 1214\u20131236 (2013)","journal-title":"SIAM J. Optim."},{"issue":"1","key":"2664_CR7","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s10107-011-0452-4","volume":"135","author":"Z Lu","year":"2012","unstructured":"Lu, Z., Zhang, Y.: An augmented lagrangian approach for sparse principal component analysis. Math. Program. 135(1), 149\u2013193 (2012)","journal-title":"Math. Program."},{"issue":"3","key":"2664_CR8","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1109\/TIT.2015.2457942","volume":"62","author":"A Montanari","year":"2015","unstructured":"Montanari, A., Richard, E.: Non-negative principal component analysis: Message passing algorithms and sharp asymptotics. IEEE Trans. Inf. Theory 62(3), 1458\u20131484 (2015)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2664_CR9","unstructured":"Cho, M., Lee, J.: Riemannian approach to batch normalization. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"issue":"2","key":"2664_CR10","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/BF00934767","volume":"37","author":"D Gabay","year":"1982","unstructured":"Gabay, D.: Minimizing a differentiable function over a differential manifold. J. Optim. Theory Appl. 37(2), 177\u2013219 (1982)","journal-title":"J. Optim. Theory Appl."},{"issue":"2","key":"2664_CR11","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s40305-020-00295-9","volume":"8","author":"J Hu","year":"2020","unstructured":"Hu, J., Liu, X., Wen, Z.W., Yuan, Y.X.: A brief introduction to manifold optimization. J. Op. Res. Soc. China 8(2), 199\u2013248 (2020)","journal-title":"J. Op. Res. Soc. China"},{"issue":"3","key":"2664_CR12","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1137\/17M1142478","volume":"39","author":"J Hu","year":"2018","unstructured":"Hu, J., Milzarek, A., Wen, Z., Yuan, Y.: Adaptive quadratically regularized newton method for riemannian optimization. SIAM J. Matrix Anal. Appl. 39(3), 1181\u20131207 (2018)","journal-title":"SIAM J. Matrix Anal. Appl."},{"issue":"1","key":"2664_CR13","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s10107-012-0584-1","volume":"142","author":"Z Wen","year":"2013","unstructured":"Wen, Z., Yin, W.: A feasible method for optimization with orthogonality constraints. Math. Program. 142(1), 397\u2013434 (2013)","journal-title":"Math. Program."},{"key":"2664_CR14","unstructured":"Zhang, H., Reddi, S., Sra, S.: Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds. Adv. Neural Inf. Process. Syst. 29 (2016)"},{"key":"2664_CR15","doi-asserted-by":"publisher","DOI":"10.1515\/9781400830244","volume-title":"Optimization algorithms on matrix manifolds","author":"PA Absil","year":"2008","unstructured":"Absil, P.A., Mahony, R., Sepulchre, R.: Optimization algorithms on matrix manifolds. Princeton University Press (2008)"},{"key":"2664_CR16","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s10208-005-0179-9","volume":"7","author":"PA Absil","year":"2007","unstructured":"Absil, P.A., Baker, C.G., Gallivan, K.A.: Trust-region methods on riemannian manifolds. Found. Comput. Math. 7, 303\u2013330 (2007)","journal-title":"Found. Comput. Math."},{"issue":"1","key":"2664_CR17","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1137\/18M122457X","volume":"30","author":"S Chen","year":"2020","unstructured":"Chen, S., Ma, S., So, M.C.A., Zhang, T.: Proximal gradient method for nonsmooth optimization over the stiefel manifold. SIAM J. Optim. 30(1), 210\u2013239 (2020)","journal-title":"SIAM J. Optim."},{"issue":"4","key":"2664_CR18","doi-asserted-by":"publisher","first-page":"B570","DOI":"10.1137\/140988875","volume":"38","author":"W Chen","year":"2016","unstructured":"Chen, W., Ji, H., You, Y.: An augmented lagrangian method for 1-regularized optimization problems with orthogonality constraints. SIAM J. Sci. Comput. 38(4), B570\u2013B592 (2016)","journal-title":"SIAM J. Sci. Comput."},{"key":"2664_CR19","first-page":"1","volume":"194","author":"W Huang","year":"2021","unstructured":"Huang, W., Wei, K.: Riemannian proximal gradient methods. Math. Program. 194, 1\u201343 (2021)","journal-title":"Math. Program."},{"issue":"2","key":"2664_CR20","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/s10915-013-9740-x","volume":"58","author":"R Lai","year":"2014","unstructured":"Lai, R., Osher, S.: A splitting method for orthogonality constrained problems. J. Sci. Comput. 58(2), 431\u2013449 (2014)","journal-title":"J. Sci. Comput."},{"issue":"1","key":"2664_CR21","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/BF02031711","volume":"56","author":"L Qi","year":"1995","unstructured":"Qi, L., Womersley, R.S.: An sqp algorithm for extended linear-quadratic problems in stochastic programming. Annal. Op. Res. 56(1), 251\u2013285 (1995)","journal-title":"Annal. Op. Res."},{"issue":"3","key":"2664_CR22","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1007\/BF02193060","volume":"85","author":"JS Pang","year":"1995","unstructured":"Pang, J.S., Qi, L.: A globally convergent newton method for convex sc1 minimization problems. J. Optim. Theory Appl. 85(3), 633\u2013648 (1995)","journal-title":"J. Optim. Theory Appl."},{"issue":"1988","key":"2664_CR23","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1515\/9783112479926-011","volume":"45","author":"B Kummer","year":"1988","unstructured":"Kummer, B.: Newton\u2019s method for non-differentiable functions. Adv. Math. Optim. 45(1988), 114\u2013125 (1988)","journal-title":"Adv. Math. Optim."},{"issue":"1\u20133","key":"2664_CR24","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/BF01581275","volume":"58","author":"L Qi","year":"1993","unstructured":"Qi, L., Sun, J.: A nonsmooth version of Newton\u2019s method. Math. Program. 58(1\u20133), 353\u2013367 (1993)","journal-title":"Math. Program."},{"key":"2664_CR25","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1007\/s10957-020-01656-3","volume":"185","author":"FR de Oliveira","year":"2020","unstructured":"de Oliveira, F.R., Ferreira, O.P.: Newton method for finding a singularity of a special class of locally lipschitz continuous vector fields on riemannian manifolds. J. Optim. Theory Appl. 185, 522\u2013539 (2020)","journal-title":"J. Optim. Theory Appl."},{"issue":"4","key":"2664_CR26","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1137\/21M1398513","volume":"14","author":"W Diepeveen","year":"2021","unstructured":"Diepeveen, W., Lellmann, J.: An inexact semismooth newton method on riemannian manifolds with application to duality-based total variation denoising. SIAM J. Imag. Sci. 14(4), 1565\u20131600 (2021)","journal-title":"SIAM J. Imag. Sci."},{"key":"2664_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10107-022-01898-1","volume":"201","author":"Y Zhou","year":"2022","unstructured":"Zhou, Y., Bao, C., Ding, C., Zhu, J.: A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds. Math. Program. 201, 1\u201361 (2022)","journal-title":"Math. Program."},{"key":"2664_CR28","unstructured":"Sun, D., Fukushima, M., Qi, L.: A computable generalized Hessian of the D-gap function and Newton-type methods for variational inequality problems. Complementarity and Variational Problems: State of the Art, MC Ferris and JS Pang (eds.), SIAM Philadelphia, PA pp. 452\u2013472 (1997)"},{"issue":"1","key":"2664_CR29","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1080\/10556780008805797","volume":"14","author":"Y Yang","year":"2000","unstructured":"Yang, Y., Zhou, S.: A trust region method for a semismooth reformulation to variational inequality problems. Optim. Methods Softw. 14(1), 139\u2013157 (2000)","journal-title":"Optim. Methods Softw."},{"key":"2664_CR30","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/BF02189800","volume":"90","author":"H Jiang","year":"1996","unstructured":"Jiang, H., Qi, L.: Globally and superlinearly convergent trust-region algorithm for convex sc 1-minimization problems and its application to stochastic programs. J. Optim. Theory Appl. 90, 649\u2013669 (1996)","journal-title":"J. Optim. Theory Appl."},{"issue":"3","key":"2664_CR31","doi-asserted-by":"publisher","first-page":"1653","DOI":"10.1093\/imanum\/drac018","volume":"43","author":"K Deng","year":"2022","unstructured":"Deng, K., Peng, Z.: A manifold inexact augmented lagrangian method for nonsmooth optimization on riemannian submanifolds in euclidean space. IMA J. Numer. Anal. 43(3), 1653\u20131684 (2022)","journal-title":"IMA J. Numer. Anal."},{"key":"2664_CR32","doi-asserted-by":"crossref","unstructured":"Beck, A., Rosset, I.: A dynamic smoothing technique for a class of nonsmooth optimization problems on manifolds. Tech. rep., School of Mathematics Sciences, Tel Aviv University (2023). https:\/\/www.tau.ac.il\/~becka\/manifold7.pdf","DOI":"10.1137\/22M1489447"},{"key":"2664_CR33","unstructured":"Boothby, W.M.: An introduction to differentiable manifolds and riemannian geometry, rev. 2nd ed edn. Academic Press (2003)"},{"key":"2664_CR34","volume-title":"Introduction to Smooth Manifolds","author":"JM Lee","year":"2013","unstructured":"Lee, J.M.: Introduction to Smooth Manifolds. Springer (2013)"},{"key":"2664_CR35","unstructured":"do\u00a0Carmo, M.P.: Differential Geometry of Curves and Surfaces, revised & upyeard second edition edn. Dover Publications Inc (2016)"},{"issue":"1","key":"2664_CR36","first-page":"149","volume":"24","author":"E Ghahraei","year":"2017","unstructured":"Ghahraei, E., Hosseini, S., Pouryayevali, M.R.: Pseudo-jacobian and characterization of monotone vector fields on riemannian manifolds. J. Convex Anal. 24(1), 149\u2013168 (2017)","journal-title":"J. Convex Anal."},{"issue":"3","key":"2664_CR37","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1093\/imanum\/drv043","volume":"36","author":"P Grohs","year":"2016","unstructured":"Grohs, P., Hosseini, S.: Nonsmooth trust region algorithms for locally lipschitz functions on riemannian manifolds. IMA J. Numer. Anal. 36(3), 1167\u20131192 (2016)","journal-title":"IMA J. Numer. Anal."},{"key":"2664_CR38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91755-9","volume-title":"Introduction to Riemannian manifolds","author":"JM Lee","year":"2018","unstructured":"Lee, J.M.: Introduction to Riemannian manifolds, vol. 2. Springer (2018)"},{"key":"2664_CR39","unstructured":"Nocedal, J., Wright, S.J.: Numerical Optimization, 2nd ed edn. Springer Series in Operations Research. Springer (2006)"},{"key":"2664_CR40","doi-asserted-by":"crossref","unstructured":"Conn, A.R., Gould, N.I., Toint, P.L.: Trust Region Methods. SIAM (2000)","DOI":"10.1137\/1.9780898719857"},{"issue":"1","key":"2664_CR41","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1137\/16M1087801","volume":"27","author":"GN Grapiglia","year":"2017","unstructured":"Grapiglia, G.N., Nesterov, Y.: Regularized Newton Methods for Minimizing Functions with H\u00f6lder Continuous Hessians. SIAM J. Optim. 27(1), 478\u2013506 (2017). https:\/\/doi.org\/10.1137\/16M1087801","journal-title":"SIAM J. Optim."},{"issue":"2","key":"2664_CR42","doi-asserted-by":"publisher","first-page":"249","DOI":"10.4310\/jdg\/1376053447","volume":"95","author":"LH Huang","year":"2013","unstructured":"Huang, L.H., Wu, D.: Hypersurfaces with nonnegative scalar curvature. J. Differ. Geom. 95(2), 249\u2013278 (2013)","journal-title":"J. Differ. Geom."},{"key":"2664_CR43","doi-asserted-by":"crossref","unstructured":"Lee, D.A.: Geometric relativity. No. 201 in Graduate studies in mathematics. American Mathematical Society, Providence, Rhode Island (2019)","DOI":"10.1090\/gsm\/201"},{"issue":"3","key":"2664_CR44","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1137\/0720042","volume":"20","author":"T Steihaug","year":"1983","unstructured":"Steihaug, T.: The conjugate gradient method and trust regions in large scale optimization. SIAM J. Numer. Anal. 20(3), 626\u2013637 (1983)","journal-title":"SIAM J. Numer. Anal."},{"key":"2664_CR45","unstructured":"Toint, P.: Towards an efficient sparsity exploiting Newton method for minimization. In: Sparse Matrices and Their Uses, pp. 57\u201388. Academic press (1981)"},{"key":"2664_CR46","doi-asserted-by":"publisher","DOI":"10.1017\/9781009166164","author":"N Boumal","year":"2023","unstructured":"Boumal, N.: An introduction to optimization on smooth manifolds. Cambridge Univ. Press (2023). https:\/\/doi.org\/10.1017\/9781009166164","journal-title":"Cambridge Univ. Press"},{"issue":"1","key":"2664_CR47","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/BF01442169","volume":"11","author":"JB Hiriart-Urruty","year":"1984","unstructured":"Hiriart-Urruty, J.B., Strodiot, J.J., Nguyen, V.H.: Generalized Hessian matrix and second-order optimality conditions for problems withC 1,1 data. Appl. Math. Optim. 11(1), 43\u201356 (1984). https:\/\/doi.org\/10.1007\/BF01442169","journal-title":"Appl. Math. Optim."},{"key":"2664_CR48","unstructured":"Absil, P.A., Baker, C.G., Gallivan, K.A.: Convergence analysis of riemannian trust-region methods. Tech. rep. (2006). http:\/\/www.optimization-online.org\/DB_HTML\/2006\/06\/1416.html"},{"key":"2664_CR49","doi-asserted-by":"crossref","unstructured":"Noll, D., Rondepierre, A.: Convergence of linesearch and trust-region methods using the kurdyka\u2013\u0142ojasiewicz inequality. In: Computational and Analytical Mathematics: In: Honor of Jonathan Borwein\u2019s 60th Birthday, pp. 593\u2013611. Springer (2013)","DOI":"10.1007\/978-1-4614-7621-4_27"},{"issue":"2","key":"2664_CR50","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1016\/j.jmaa.2017.04.011","volume":"457","author":"A Daniilidis","year":"2018","unstructured":"Daniilidis, A., Deville, R., Durand-Cartagena, E., Rifford, L.: Self-contracted curves in riemannian manifolds. J. Math. Anal. Appl. 457(2), 1333\u20131352 (2018)","journal-title":"J. Math. Anal. Appl."},{"issue":"46","key":"2664_CR51","doi-asserted-by":"publisher","first-page":"18368","DOI":"10.1073\/pnas.1318679110","volume":"110","author":"V Ozoli\u0146\u0161","year":"2013","unstructured":"Ozoli\u0146\u0161, V., Lai, R., Caflisch, R., Osher, S.: Compressed modes for variational problems in mathematics and physics. Proc. Natl. Acad. Sci. 110(46), 18368\u201318373 (2013)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"2","key":"2664_CR52","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1198\/106186006X113430","volume":"15","author":"H Zou","year":"2006","unstructured":"Zou, H., Hastie, T., Tibshirani, R.: Sparse principal component analysis. J. Comput. Gr. Stat. 15(2), 265\u2013286 (2006)","journal-title":"J. Comput. Gr. Stat."},{"issue":"1","key":"2664_CR53","doi-asserted-by":"publisher","DOI":"10.1002\/nla.2409","volume":"29","author":"W Huang","year":"2022","unstructured":"Huang, W., Wei, K.: An extension of fast iterative shrinkage-thresholding algorithm to riemannian optimization for sparse principal component analysis. Numer. Linear Algebra Appl. 29(1), e2409 (2022)","journal-title":"Numer. Linear Algebra Appl."},{"issue":"3\u20134","key":"2664_CR54","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/s12532-010-0020-6","volume":"2","author":"L Li","year":"2010","unstructured":"Li, L., Toh, K.C., et al.: An inexact interior point method for $$\\ell _1$$-regularized sparse covariance selection. Math. Program. Comput. 2(3\u20134), 291\u2013315 (2010)","journal-title":"Math. Program. Comput."},{"issue":"1","key":"2664_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-4-59","volume":"4","author":"AC Culhane","year":"2003","unstructured":"Culhane, A.C., Perri\u00e8re, G., Higgins, D.G.: Cross-platform comparison and visualisation of gene expression data using co-inertia analysis. BMC Bioinform. 4(1), 1\u201315 (2003)","journal-title":"BMC Bioinform."},{"issue":"7","key":"2664_CR56","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1038\/ng.167","volume":"40","author":"J Zhu","year":"2008","unstructured":"Zhu, J., Zhang, B., Smith, E.N., Drees, B., Brem, R.B., Kruglyak, L., Bumgarner, R.E., Schadt, E.E.: Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks. Nature Genet. 40(7), 854\u2013861 (2008)","journal-title":"Nature Genet."}],"container-title":["Journal of Scientific Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10915-024-02664-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10915-024-02664-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10915-024-02664-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T09:14:13Z","timestamp":1729242853000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10915-024-02664-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,20]]},"references-count":56,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["2664"],"URL":"https:\/\/doi.org\/10.1007\/s10915-024-02664-5","relation":{},"ISSN":["0885-7474","1573-7691"],"issn-type":[{"value":"0885-7474","type":"print"},{"value":"1573-7691","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,20]]},"assertion":[{"value":"2 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"32"}}