[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-444983-105":3,"detail-sidebar-cat-0-en-105":80,"doc-detail-444983-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","editorial-note-machine-learning-driven-optimization-of-compressive-strength-of-3d-printed-bio-polymer-composite-material","Editorial Note - Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material","","This document serves as an official Editorial Note issued by the PLOS One Editors regarding the article titled 'Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material.' The note addresses formal concerns related to compliance with the journal's authorship policy for the original research paper. The editors express regret that these specific issues were not identified or resolved prior to the initial publication of the work. The notice provides essential contextual information and ensures academic transparency regarding the authorship attribution of the study, which explores the application of machine learning techniques for optimizing the mechanical properties of 3D-printed bio-polymer composite materials. Readers and researchers are advised to consider this note in the context of the primary research findings published in the identified issue.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/editorial-note-machine-learning-driven-optimization-of-compressive-strength-of-3d-printed-bio-polymer-composite-material/444983/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/editorial-note-machine-learning-driven-optimization-of-compressive-strength-of-3d-printed-bio-polymer-composite-material/444983.png","ImageObject",300,407,{"name":42,"@type":43},"jay","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-09-30","2026-09-29",true,{"@type":52,"interactionType":53,"userInteractionCount":26},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What is the purpose of this Editorial Note?","Question",{"text":62,"@type":63},"The purpose of this note is to inform readers of concerns regarding the article's compliance with the PLOS authorship policy.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Which specific article does this note concern?",{"text":67,"@type":63},"It concerns the article titled 'Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material' published in PLOS One.",{"name":69,"@type":60,"acceptedAnswer":70},"What is the status of the authorship issue mentioned?",{"text":71,"@type":63},"The editors acknowledge that the issues related to authorship compliance were not addressed prior to the article's original publication.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},444983,1790791197,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":26,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":22,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":30},3985747858866,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","EDITORIAL NOTE  \nEditorial Note: Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material  \nThe PLOS One Editors  \nThe PLOS One Editors issue this Editorial Note to inform readers of concerns regarding compliance with PLOS Authorship policy for this article [ 1] . We regret that the issues were not addressed prior to the article’s publication.  \nReference  \n1. Jayaram RS, Saravanamuthukumar P, Abdullah AB, Krishnamoorthy R, Kunar S, Yong X, et al.  \nMachine learning driven optimization of compressive strength of 3D printed bio polymer composite material. PLoS One. 2025;20(8):e0330625 . [https://doi.org/10.1371/journal.pone.0330625](https://doi.org/10.1371/journal.pone.0330625 PMID:)[ PMID:](https://doi.org/10.1371/journal.pone.0330625 PMID:)  \n40875778  \nOPEN ACCESS  \nCitation: The PLOS One Editors (2026) Editorial Note: Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material. PLoS One 21(1):  \ne0339818. [https://doi.org/10.1371/journal](https://doi.org/10.1371/journal). pone.0339818  \nPublished: January 6, 2026  \nCopyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution  License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.  \nPLOS One | [https://doi.org/10.1371/journal.pone.0339818](https://doi.org/10.1371/journal.pone.0339818) January 6, 2026 1 / 1","cbCaispZBEJv9cyz","https://ap.wps.com/l/cbCaispZBEJv9cyz","pdf",69668,"English","# Editorial Note Regarding Authorship Compliance\n## Reference Information","[{\"question\":\"What is the purpose of this Editorial Note?\",\"answer\":\"The purpose of this note is to inform readers of concerns regarding the article's compliance with the PLOS authorship policy.\"},{\"question\":\"Which specific article does this note concern?\",\"answer\":\"It concerns the article titled 'Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material' published in PLOS One.\"},{\"question\":\"What is the status of the authorship issue mentioned?\",\"answer\":\"The editors acknowledge that the issues related to authorship compliance were not addressed prior to the article's original publication.\"}]","Editorial Note - Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material | PDF",1790709980]