{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T22:53:13Z","timestamp":1774047193743,"version":"3.50.1"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2022QE297"],"award-info":[{"award-number":["ZR2022QE297"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52405295"],"award-info":[{"award-number":["52405295"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52205275"],"award-info":[{"award-number":["52205275"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.cmpb.2026.109312","type":"journal-article","created":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T07:03:06Z","timestamp":1773126186000},"page":"109312","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Dual modal data-driven virtual reality-based mild cognitive Impairment assessment using MCIformer"],"prefix":"10.1016","volume":"279","author":[{"given":"Yanjie","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yang","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Shanshan","family":"Feng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0031-7572","authenticated-orcid":false,"given":"Hongliang","family":"Qiao","sequence":"additional","affiliation":[]},{"given":"Lingguo","family":"Bu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3929-6625","authenticated-orcid":false,"given":"Fan","family":"Li","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.cmpb.2026.109312_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108506","article-title":"Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013-2024)","volume":"259","author":"Acharya","year":"2025","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.cmpb.2026.109312_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2022.106825","article-title":"Spatio-temporal convolution for classification of alzheimer disease and mild cognitive impairment","volume":"221","author":"Turhan","year":"2022","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.cmpb.2026.109312_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108123","article-title":"STCGRU: A hybrid model based on CNN and BiGRU for mild cognitive impairment diagnosis","volume":"248","author":"Zhou","year":"2024","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.cmpb.2026.109312_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108815","article-title":"A deep learning based framework for diagnosis of mild cognitive impairment","volume":"248","author":"Alvi","year":"2022","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.cmpb.2026.109312_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.109039","article-title":"Dual attention based fusion network for MCI Conversion Prediction","volume":"182","author":"Luo","year":"2024","journal-title":"Comput. Biol. Med."},{"issue":"6","key":"10.1016\/j.cmpb.2026.109312_bib0006","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1002\/ana.26927","article-title":"Prevalence of and annual conversion rates to mild cognitive impairment and dementia: prospective, longitudinal study of an essential tremor cohort","volume":"95","author":"Ghanem","year":"2024","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.cmpb.2026.109312_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.arr.2019.100965","article-title":"Non-pharmacological therapeutic strategy options for patients with dementia based on cognitive function\u2014A Bayesian network meta-analysis of randomized controlled trials","volume":"56","author":"Liang","year":"2019","journal-title":"Ageing Res. Rev."},{"key":"10.1016\/j.cmpb.2026.109312_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2023.107779","article-title":"Psychodynamic-based virtual reality cognitive training system with personalized emotional arousal elements for mild cognitive impairment patients","volume":"241","author":"Zhao","year":"2023","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.cmpb.2026.109312_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2020.103573","article-title":"Dementia medical screening using mobile applications: A systematic review with a new mapping model","volume":"111","author":"Thabtah","year":"2020","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.cmpb.2026.109312_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.arr.2021.101506","article-title":"Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review","volume":"72","author":"Chan","year":"2021","journal-title":"Ageing Res. Rev."},{"key":"10.1016\/j.cmpb.2026.109312_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.108472","article-title":"VR-based approach for MCI assessment system using fNIRS and graph convolutional network","volume":"111","author":"Zhang","year":"2026","journal-title":"Biomed. Signal. Process. Control"},{"issue":"1-2","key":"10.1016\/j.cmpb.2026.109312_bib0012","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1159\/000504340","article-title":"Review of gait, cognition, and fall risks with implications for fall prevention in older adults with dementia","volume":"48","author":"Zhang","year":"2019","journal-title":"Dement. Geriatr. Cogn. Disord."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0013","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1017\/cjn.2019.293","article-title":"Isolated, subtle neurological abnormalities in mild cognitive impairment types","volume":"47","author":"Camarda","year":"2020","journal-title":"Can. J. Neurol. Sci."},{"key":"10.1016\/j.cmpb.2026.109312_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108508","article-title":"One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks","volume":"259","author":"Guimaraes","year":"2025","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.cmpb.2026.109312_bib0015","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s40520-015-0392-6","article-title":"Gait speed or gait variability, which one to use as a marker of risk to develop Alzheimer disease? A pilot study","volume":"28","author":"Gillain","year":"2016","journal-title":"Aging Clin. Exp. Res."},{"key":"10.1016\/j.cmpb.2026.109312_bib0016","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.eswa.2018.07.052","article-title":"A new algorithm for kinematic analysis of handwriting data; towards a reliable handwriting-based tool for early detection of alzheimer's disease","volume":"114","author":"Ghaderyan","year":"2018","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.cmpb.2026.109312_bib0017","doi-asserted-by":"crossref","first-page":"317","DOI":"10.3389\/fnhum.2019.00317","article-title":"Evaluation of neural degeneration biomarkers in the prefrontal cortex for early identification of patients with mild cognitive impairment: an fNIRS study","volume":"13","author":"Yang","year":"2019","journal-title":"Front. Hum. Neurosci."},{"issue":"2","key":"10.1016\/j.cmpb.2026.109312_bib0018","doi-asserted-by":"crossref","first-page":"863","DOI":"10.3233\/JAD-220815","article-title":"Brain activation during working memory task in amnestic mild cognitive impairment patients and its association with memory and attention","volume":"91","author":"Liu","year":"2023","journal-title":"J Alzheimer 19s Dis."},{"key":"10.1016\/j.cmpb.2026.109312_bib0019","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1109\/TNSRE.2023.3236007","article-title":"Comparing multi-dimensional fnirs features using bayesian optimization-based neural networks for mild cognitive impairment (mci) detection","volume":"31","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.cmpb.2026.109312_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118853","article-title":"Neural markers of proactive and reactive cognitive control are altered during walking: A Mobile Brain-Body Imaging (MoBI) study","volume":"247","author":"Richardson","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.cmpb.2026.109312_bib0021","article-title":"Assessment of brain function in patients with cognitive impairment based on fNIRS and gait analysis","volume":"14","author":"Wang","year":"2022","journal-title":"Front. Aging Neurosci."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0022","doi-asserted-by":"crossref","first-page":"307","DOI":"10.3233\/ADR-210065","article-title":"Neural mechanisms of motor dysfunction in mild cognitive impairment and Alzheimer\u2019s disease: A systematic review","volume":"6","author":"Koppelmans","year":"2022","journal-title":"J Alzheimer's Dis. Rep."},{"issue":"6","key":"10.1016\/j.cmpb.2026.109312_bib0023","doi-asserted-by":"crossref","first-page":"993","DOI":"10.12965\/jer.1836402.201","article-title":"Effects of a priority-based dual task on gait velocity and variability in older adults with mild cognitive impairment","volume":"14","author":"Lee","year":"2018","journal-title":"J. Exerc. Rehabil."},{"key":"10.1016\/j.cmpb.2026.109312_bib0024","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2023.1068316","article-title":"The effects of cognitive impairment on the multi-scale dynamics of standing postural control during visual-search in older men","volume":"15","author":"Zhou","year":"2023","journal-title":"Front. Aging Neurosci."},{"issue":"7","key":"10.1016\/j.cmpb.2026.109312_bib0025","doi-asserted-by":"crossref","first-page":"glae091","DOI":"10.1093\/gerona\/glae091","article-title":"The association between postural sway and preclinical Alzheimer disease among community-dwelling older adults","volume":"79","author":"Bollinger","year":"2024","journal-title":"J. Gerontol. A: Biol. Sci. Med. Sci."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0026","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1159\/000521644","article-title":"Correlations between hand dexterity and bimanual coordination on the activities of daily living in older adults with mild cognitive impairment","volume":"12","author":"Rattanawan","year":"2022","journal-title":"Dement geriatr cogn disord extra"},{"issue":"2","key":"10.1016\/j.cmpb.2026.109312_bib0027","doi-asserted-by":"crossref","first-page":"67","DOI":"10.31083\/j.jin2102067","article-title":"Hand movements in mild cognitive impairment: Clinical implications and insights for future research","volume":"21","author":"Ilardi","year":"2022","journal-title":"J. Integr. Neurosci."},{"issue":"2","key":"10.1016\/j.cmpb.2026.109312_bib0028","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1037\/pne0000160","article-title":"Cognitive flexibility and inhibition in single-versus multiple-domain mild cognitive impairment: A comparative and discriminative analysis","volume":"12","author":"Gon\u00e7alves","year":"2019","journal-title":"Psychol. Neurosci."},{"key":"10.1016\/j.cmpb.2026.109312_bib0029","doi-asserted-by":"crossref","first-page":"141","DOI":"10.3389\/fnagi.2020.00141","article-title":"Detection of mild cognitive impairment using convolutional neural network: temporal-feature maps of functional near-infrared spectroscopy","volume":"12","author":"Yang","year":"2020","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.cmpb.2026.109312_bib0030","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.pscychresns.2018.02.003","article-title":"Decreased hemodynamic response in inferior frontotemporal regions in elderly with mild cognitive impairment","volume":"274","author":"Katzorke","year":"2018","journal-title":"Psychiatry Res: Neuroimaging"},{"key":"10.1016\/j.cmpb.2026.109312_bib0031","doi-asserted-by":"crossref","first-page":"287","DOI":"10.3389\/fnagi.2017.00287","article-title":"Visualizing hyperactivation in neurodegeneration based on prefrontal oxygenation: a comparative study of mild Alzheimer's disease, mild cognitive impairment, and healthy controls","volume":"9","author":"Yap","year":"2017","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.cmpb.2026.109312_bib0032","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s11682-016-9508-7","article-title":"Prefrontal activation may predict working-memory training gain in normal aging and mild cognitive impairment","volume":"11","author":"Vermeij","year":"2017","journal-title":"Brain ImAging Behav."},{"key":"10.1016\/j.cmpb.2026.109312_bib0033","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.jpsychires.2021.12.021","article-title":"Reduced parietal activation in participants with mild cognitive impairments during visual-spatial processing measured with functional near-infrared spectroscopy","volume":"146","author":"Haberstumpf","year":"2022","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.cmpb.2026.109312_bib0034","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.jpsychires.2020.02.017","article-title":"Functional near-infrared spectroscopy reveals decreased resting oxygenation levels and task-related oxygenation changes in mild cognitive impairment and dementia: a systematic review","volume":"124","author":"Yeung","year":"2020","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.cmpb.2026.109312_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109466","article-title":"Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM","volume":"254","author":"Lei","year":"2022","journal-title":"Knowl.Based Syst."},{"issue":"4","key":"10.1016\/j.cmpb.2026.109312_bib0036","doi-asserted-by":"crossref","first-page":"e3414","DOI":"10.1002\/brb3.3414","article-title":"Alterations in brain functional connectivity in patients with mild cognitive impairment: A systematic review and meta-analysis of functional near-infrared spectroscopy studies","volume":"14","author":"Wang","year":"2024","journal-title":"Brain Behav."},{"key":"10.1016\/j.cmpb.2026.109312_bib0037","article-title":"A multimodal transformer framework with biomechanical constraints for injury prediction and human motion analysis","author":"Wen","year":"2025","journal-title":"J. Comput. Methods Sci. Eng."},{"issue":"2","key":"10.1016\/j.cmpb.2026.109312_bib0038","doi-asserted-by":"crossref","first-page":"e57","DOI":"10.1002\/brx2.57","article-title":"Comprehensive review of Transformer-based models in neuroscience, neurology, and psychiatry","volume":"2","author":"Cong","year":"2024","journal-title":"Brain-X"},{"key":"10.1016\/j.cmpb.2026.109312_bib0039","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1109\/TNSRE.2022.3170943","article-title":"A Multimodal Data Driven Rehabilitation Strategy Auxiliary Feedback Method: A Case Study","volume":"30","author":"Zhao","year":"2022","journal-title":"IEEe Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.cmpb.2026.109312_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2021.101325","article-title":"A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: a case study","volume":"49","author":"Li","year":"2021","journal-title":"Adv. Eng. Inform."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0041","doi-asserted-by":"crossref","DOI":"10.1117\/1.NPh.8.1.010802","article-title":"NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis","volume":"8","author":"Hou","year":"2021","journal-title":"Neurophotonics."},{"key":"10.1016\/j.cmpb.2026.109312_bib0042","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.neuroimage.2018.09.025","article-title":"Temporal derivative distribution repair (TDDR): a motion correction method for fNIRS","volume":"184","author":"Fishburn","year":"2019","journal-title":"Neuroimage"},{"issue":"12","key":"10.1016\/j.cmpb.2026.109312_bib0043","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.3390\/diagnostics14121281","article-title":"Deep learning for Alzheimer\u2019s disease prediction: a comprehensive review","volume":"14","author":"Malik","year":"2024","journal-title":"Diagnostics"},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0044","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-14238-y","article-title":"A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion","volume":"15","author":"Farmani","year":"2025","journal-title":"Sci. Rep."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0045","article-title":"Neural compensatory response during complex cognitive function tasks in mild cognitive impairment: a near-infrared spectroscopy study","volume":"2019","author":"Yoon","year":"2019","journal-title":"Neural Plast."},{"issue":"7","key":"10.1016\/j.cmpb.2026.109312_bib0046","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1080\/13607863.2019.1584785","article-title":"Executive functions in the elderly with mild cognitive impairment: A systematic review on motor and cognitive inhibition, conflict control and cognitive flexibility","volume":"24","author":"Guarino","year":"2020","journal-title":"Aging Ment. Health"},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0047","doi-asserted-by":"crossref","first-page":"245","DOI":"10.3233\/JAD-230305","article-title":"Effects of a physical activity program that incorporates exercises targeting balance, strength, and proprioception on cognitive functions and physical performance in old adults with mild cognitive impairment","volume":"96","author":"Boulares","year":"2023","journal-title":"J. Alzheimer 19s Dis."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109312_bib0048","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0296710","article-title":"Gait smoothness during high-demand motor walking tasks in older adults with mild cognitive impairment","volume":"19","author":"Poosri","year":"2024","journal-title":"PLoS. One"},{"issue":"5","key":"10.1016\/j.cmpb.2026.109312_bib0049","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2022.6744","article-title":"Associations of multidomain interventions with improvements in cognition in mild cognitive impairment: a systematic review and meta-analysis","volume":"5","author":"Salzman","year":"2022","journal-title":"JAMa Netw. Open."}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260726000805?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260726000805?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T21:32:51Z","timestamp":1774042371000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260726000805"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":49,"alternative-id":["S0169260726000805"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2026.109312","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dual modal data-driven virtual reality-based mild cognitive Impairment assessment using MCIformer","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2026.109312","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":"109312"}}