{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T20:07:41Z","timestamp":1784318861189,"version":"3.55.0"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Provincial Natural Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Communications in Nonlinear Science and Numerical Simulation"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.cnsns.2026.110350","type":"journal-article","created":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T16:26:11Z","timestamp":1781454371000},"page":"110350","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P2","title":["Inverse-free zeroing neural dynamics model for handling temporally-dependent Yang-Baxter-like equation problems with applications to microgrid control"],"prefix":"10.1016","volume":"162","author":[{"given":"Pengfei","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng-an","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cnsns.2026.110350_bib0001","doi-asserted-by":"crossref","first-page":"1312","DOI":"10.1103\/PhysRevLett.19.1312","article-title":"Some exact results for the many-body problem in one dimension with repulsive delta-function interaction","volume":"19","author":"Yang","year":"1967","journal-title":"Phys Rev Lett"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0002","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/0003-4916(72)90335-1","article-title":"Partition function of the eight-vertex lattice model","volume":"70","author":"Baxter","year":"1972","journal-title":"Ann Phys"},{"key":"10.1016\/j.cnsns.2026.110350_bib0003","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/BF02100863","article-title":"Classical solutions of the quantum Yang-Baxter equation","volume":"148","author":"Weinstein","year":"1992","journal-title":"Commun Math Phys"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0004","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevA.106.012412","article-title":"Quantum time dynamics employing the Yang-Baxter equation for circuit compression","volume":"106","author":"Peng","year":"2022","journal-title":"Phys Rev A"},{"issue":"4","key":"10.1016\/j.cnsns.2026.110350_bib0005","doi-asserted-by":"crossref","first-page":"278","DOI":"10.23919\/AISE.2025.000019","article-title":"Adaptive motion-state estimation and feature reuse for intermittent dynamics in visual SLAM","volume":"1","author":"He","year":"2025","journal-title":"Artif Intell Sci Eng"},{"key":"10.1016\/j.cnsns.2026.110350_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.cnsns.2025.109479","article-title":"A fixed-time convergence robust zeroing neural network for the synchronization of memristor-based chaotic systems","volume":"152","author":"Fang","year":"2026","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"10.1016\/j.cnsns.2026.110350_bib0007","series-title":"Yang-Baxter equation in integrable systems","author":"Jimbo","year":"1990"},{"issue":"6","key":"10.1016\/j.cnsns.2026.110350_bib0008","doi-asserted-by":"crossref","first-page":"1541","DOI":"10.1016\/j.camwa.2016.07.015","article-title":"Solving the Yang-Baxter-like matrix equation for a class of elementary matrices","volume":"72","author":"Ding","year":"2016","journal-title":"Comput Math Appl"},{"issue":"4","key":"10.1016\/j.cnsns.2026.110350_bib0009","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s40314-024-02771-x","article-title":"Iterative methods based on low-rank matrix for solving the Yang-Baxter-like matrix equation","volume":"43","author":"Gan","year":"2024","journal-title":"Comput Appl Math"},{"key":"10.1016\/j.cnsns.2026.110350_bib0010","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.neucom.2022.02.068","article-title":"Discrete-time ZNN-based noise-handling ten-instant algorithm solving Yang-Baxter-like matrix equation with disturbances","volume":"488","author":"Wu","year":"2022","journal-title":"Neurocomputing"},{"issue":"16","key":"10.1016\/j.cnsns.2026.110350_bib0011","doi-asserted-by":"crossref","first-page":"11995","DOI":"10.1016\/j.jfranklin.2023.09.022","article-title":"Discrete gradient-zeroing neural network algorithms for handling future quadratic program as well as robot arm via ten-instant formula","volume":"360","author":"Guo","year":"2023","journal-title":"J Frankl Inst"},{"issue":"2","key":"10.1016\/j.cnsns.2026.110350_bib0012","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1109\/TNNLS.2020.3028136","article-title":"Novel discrete-time recurrent neural networks handling discrete-form time-variant multi-augmented sylvester matrix problems and manipulator application","volume":"33","author":"Shi","year":"2022","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0013","series-title":"Dynamic neural networks for robot systems: data-driven and model-based applications","author":"Jin","year":"2024"},{"key":"10.1016\/j.cnsns.2026.110350_bib0014","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.matcom.2025.02.009","article-title":"Discrete gradient-zeroing neural network algorithm for solving future Sylvester equation aided with left-right four-step rule as well as robot arm inverse kinematics","volume":"233","author":"Guo","year":"2025","journal-title":"Math Comput Simul"},{"issue":"3","key":"10.1016\/j.cnsns.2026.110350_bib0015","doi-asserted-by":"crossref","first-page":"1890","DOI":"10.1109\/TSMC.2023.3331051","article-title":"ELSS-DZN and ELSS-IFDHGZN algorithms solving future quadratic programming applied to robot manipulator","volume":"54","author":"Guo","year":"2024","journal-title":"IEEE Trans Syst Man Cybern: Syst"},{"issue":"2","key":"10.1016\/j.cnsns.2026.110350_bib0016","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TNNLS.2015.2435014","article-title":"Taylor O(h3) discretization of ZNN models for dynamic equality-constrained quadratic programming with application to manipulators","volume":"27","author":"Liao","year":"2016","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0017","series-title":"Zhang time discretization (ZTD) formulas and applications","author":"Zhang","year":"2024"},{"key":"10.1016\/j.cnsns.2026.110350_bib0018","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.matcom.2013.04.019","article-title":"A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices","volume":"92","author":"Yi","year":"2013","journal-title":"Math Comput Simul"},{"issue":"7","key":"10.1016\/j.cnsns.2026.110350_bib0019","doi-asserted-by":"crossref","first-page":"3090","DOI":"10.1016\/j.jfranklin.2022.02.028","article-title":"Recurrent neural dynamics for handling linear equation system with rank-deficient coefficient and disturbance existence","volume":"359","author":"Shi","year":"2022","journal-title":"J Frankl Inst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.122938","article-title":"Inter-robot management via neighboring robot sensing and measurement using a zeroing neural dynamics approach","volume":"244","author":"Liao","year":"2024","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.cnsns.2026.110350_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.cnsns.2024.108536","article-title":"Novel fixed-time zeroing neural network models for solving time-varying minimal rank outer inverse problem","volume":"142","author":"Miao","year":"2025","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"10.1016\/j.cnsns.2026.110350_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.cnsns.2025.109122","article-title":"Novel finite-time convergent neural dynamics for practical synchronization of diverse chaotic systems","volume":"151","author":"Dai","year":"2025","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0023","doi-asserted-by":"crossref","first-page":"52","DOI":"10.23919\/AISE.2025.000005","article-title":"Adaptive neural finite-time deployment of heterogeneous multi-agent systems via a cross-species bionic pde-ode approach","volume":"1","author":"Man","year":"2025","journal-title":"Artif Intell Sci Eng"},{"key":"10.1016\/j.cnsns.2026.110350_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.cnsns.2025.109249","article-title":"Privacy-preserving distributed k-WTA algorithm based on state combination","volume":"152","author":"Liu","year":"2026","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"10.1016\/j.cnsns.2026.110350_bib0025","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.neucom.2018.10.031","article-title":"Bounded Z-type neurodynamics with limited-time convergence and noise tolerance for calculating time-dependent Lyapunov equation","volume":"325","author":"Liao","year":"2019","journal-title":"Neurocomputing"},{"issue":"12","key":"10.1016\/j.cnsns.2026.110350_bib0026","doi-asserted-by":"crossref","first-page":"8137","DOI":"10.1016\/j.jfranklin.2020.06.004","article-title":"Solving time-varying linear inequalities by finite-time convergent zeroing neural networks","volume":"357","author":"Zeng","year":"2020","journal-title":"J Frankl Inst"},{"issue":"14","key":"10.1016\/j.cnsns.2026.110350_bib0027","doi-asserted-by":"crossref","first-page":"7203","DOI":"10.1016\/j.jfranklin.2021.07.006","article-title":"Discrete-time zeroing neural network of O(\u03c4\u23034) pattern for online solving time-varying nonlinear optimization problem: application to manipulator motion generation","volume":"358","author":"Sun","year":"2021","journal-title":"J Frankl Inst"},{"issue":"12","key":"10.1016\/j.cnsns.2026.110350_bib0028","doi-asserted-by":"crossref","first-page":"10919","DOI":"10.1109\/TNNLS.2022.3171715","article-title":"Dynamic moore-penrose inversion with unknown derivatives: gradient neural network approach","volume":"34","author":"Zhang","year":"2023","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128384","article-title":"A varying-parameter complementary neural network for multi-robot tracking and formation via model predictive control","volume":"609","author":"Li","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cnsns.2026.110350_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.107121","article-title":"A smooth gradient approximation neural network for general constrained nonsmooth nonconvex optimization problems","volume":"184","author":"Liu","year":"2025","journal-title":"Neural Netw"},{"key":"10.1016\/j.cnsns.2026.110350_bib0031","series-title":"International conference on data mining workshops","first-page":"159","article-title":"A recommender algorithm: gradient recurrent neural network applied to Yang-Baxter-like equation","author":"Ying","year":"2020"},{"issue":"17","key":"10.1016\/j.cnsns.2026.110350_bib0032","doi-asserted-by":"crossref","first-page":"3708","DOI":"10.1016\/j.neucom.2011.05.021","article-title":"Neural network versus gradient-based neural network for time-varying linear matrix equation solving","volume":"74","author":"Guo","year":"2011","journal-title":"Neurocomputing"},{"issue":"8","key":"10.1016\/j.cnsns.2026.110350_bib0033","doi-asserted-by":"crossref","first-page":"4786","DOI":"10.1109\/TSMC.2024.3387023","article-title":"GNN model with robust finite-time convergence for time-varying systems of linear equations","volume":"54","author":"Zhang","year":"2024","journal-title":"IEEE Trans Syst Man Cybern: Syst"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0034","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1109\/TNNLS.2022.3175899","article-title":"GNN model for time-varying matrix inversion with robust finite-time convergence","volume":"35","author":"Zhang","year":"2024","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"6","key":"10.1016\/j.cnsns.2026.110350_bib0035","doi-asserted-by":"crossref","first-page":"3636","DOI":"10.1016\/j.jfranklin.2020.02.024","article-title":"Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented sylvester matrix equation","volume":"357","author":"Shi","year":"2020","journal-title":"J Frankl Inst"},{"issue":"18","key":"10.1016\/j.cnsns.2026.110350_bib0036","doi-asserted-by":"crossref","first-page":"10867","DOI":"10.1016\/j.jfranklin.2022.05.021","article-title":"Finite-time convergent zeroing neural network for solving time-varying algebraic riccati equations","volume":"359","author":"Simos","year":"2022","journal-title":"J Frankl Inst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120490","article-title":"Nonlinear RNN with noise-immune: a robust and learning-free method for hyperspectral image target detection","volume":"229","author":"Xiao","year":"2023","journal-title":"Expert Syst Appl"},{"issue":"16","key":"10.1016\/j.cnsns.2026.110350_bib0038","doi-asserted-by":"crossref","first-page":"11788","DOI":"10.1016\/j.jfranklin.2023.09.009","article-title":"A novel predefined-time noise-tolerant zeroing neural network for solving time-varying generalized linear matrix equations","volume":"360","author":"Li","year":"2023","journal-title":"J Frankl Inst"},{"issue":"15","key":"10.1016\/j.cnsns.2026.110350_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfranklin.2024.107143","article-title":"A novel fuzzy-type zeroing neural network for dynamic matrix solving and its applications","volume":"361","author":"Zhao","year":"2024","journal-title":"J Frankl Inst"},{"issue":"9","key":"10.1016\/j.cnsns.2026.110350_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfranklin.2024.106870","article-title":"Fixed-time solution of inequality constrained time-varying linear systems via zeroing neural networks","volume":"361","author":"Jin","year":"2024","journal-title":"J Frankl Inst"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0041","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1109\/TII.2024.3457818","article-title":"An obstacle avoidance scheme for manipulators aided by noise-tolerant neural dynamics","volume":"21","author":"Yan","year":"2025","journal-title":"IEEE Trans Ind Inform"},{"issue":"2","key":"10.1016\/j.cnsns.2026.110350_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfranklin.2024.107469","article-title":"A recurrent neural network based on taylor difference for solving discrete time-varying linear matrix problems and application in robot arms","volume":"362","author":"Yi","year":"2025","journal-title":"J Frankl Inst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.cnsns.2026.109703","article-title":"Zhang neural network model and algorithm with inherent properties for tackling temporally dependent generalized Sylvester\u2019s matrix equation problems with applications","volume":"157","author":"Guo","year":"2026","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"8","key":"10.1016\/j.cnsns.2026.110350_bib0044","doi-asserted-by":"crossref","first-page":"14037","DOI":"10.1109\/TNNLS.2024.3512505","article-title":"Novel discretized zeroing neural network models for time-varying optimization aided with predictor-corrector methods","volume":"36","author":"Kong","year":"2025","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.cnsns.2026.110350_bib0045","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.neucom.2019.11.101","article-title":"Zeroing neural network methods for solving the Yang-Baxter-like matrix equation","volume":"383","author":"Zhang","year":"2020","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cnsns.2026.110350_bib0046","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.neucom.2020.10.110","article-title":"Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: a control-based method","volume":"424","author":"Shi","year":"2021","journal-title":"Neurocomputing"},{"issue":"11","key":"10.1016\/j.cnsns.2026.110350_bib0047","doi-asserted-by":"crossref","DOI":"10.3390\/math10111950","article-title":"Zeroing neural network approaches based on direct and indirect methods for solving the Yang-Baxter-like matrix equation","volume":"10","author":"Jiang","year":"2022","journal-title":"Mathematics"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0048","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1007\/s11063-022-10908-4","article-title":"Modified newton integration neural algorithm for solving time-varying Yang-Baxter-like matrix equation","volume":"55","author":"Huang","year":"2023","journal-title":"Neural Process Lett"},{"issue":"1","key":"10.1016\/j.cnsns.2026.110350_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.jmaa.2024.129095","article-title":"An improved zeroing neural network model for solving the time-varying Yang-Baxter-like matrix equation","volume":"545","author":"Huang","year":"2025","journal-title":"J Math Anal Appl"},{"key":"10.1016\/j.cnsns.2026.110350_bib0050","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.neucom.2022.08.036","article-title":"A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations","volume":"508","author":"Gerontitis","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cnsns.2026.110350_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.tcs.2023.114328","article-title":"Improved zeroing neural models based on two novel activation functions with exponential behavior","volume":"986","author":"Gerontitis","year":"2024","journal-title":"Theor Comput Sci"},{"issue":"16","key":"10.1016\/j.cnsns.2026.110350_bib0052","doi-asserted-by":"crossref","first-page":"4170","DOI":"10.1080\/00207721.2025.2482871","article-title":"BOMO-RNN: a novel neural network controller for industrial robots with experimental validation","volume":"56","author":"Khan","year":"2025","journal-title":"Int J Syst Sci"},{"issue":"3","key":"10.1016\/j.cnsns.2026.110350_bib0053","doi-asserted-by":"crossref","first-page":"175","DOI":"10.23919\/AISE.2025.000013","article-title":"Spiking neural networks: a comprehensive survey of training methodologies, hardware implementations and applications","volume":"1","author":"Khan","year":"2025","journal-title":"Artif Intell Sci Eng"},{"key":"10.1016\/j.cnsns.2026.110350_bib0054","series-title":"Nonlinear systems","author":"Khalil","year":"2002"},{"key":"10.1016\/j.cnsns.2026.110350_bib0055","series-title":"Convex optimization","author":"Boyd","year":"2004"}],"container-title":["Communications in Nonlinear Science and Numerical Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1007570426007045?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1007570426007045?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T20:00:43Z","timestamp":1784318443000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1007570426007045"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":55,"alternative-id":["S1007570426007045"],"URL":"https:\/\/doi.org\/10.1016\/j.cnsns.2026.110350","relation":{},"ISSN":["1007-5704"],"issn-type":[{"value":"1007-5704","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Inverse-free zeroing neural dynamics model for handling temporally-dependent Yang-Baxter-like equation problems with applications to microgrid control","name":"articletitle","label":"Article Title"},{"value":"Communications in Nonlinear Science and Numerical Simulation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cnsns.2026.110350","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110350"}}