RETRACTED ARTICLE: An Effective Hybrid Mobility Aware Energy Efficient Low Latency Protocol (HMEL-MAC) for Wireless Sensor Network

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”: Min Xu & Li Tang (2022) Safety Collection Algorithm of Big Data for Blockchain-Based Power Grid Systems, IETE Journal of Research, DOI: 10.1080/03772063.2022.2028585 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal's peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue. The journal has not confirmed if the authors were aware of this compromised peer review process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”: Kusum Yadav, Mnaouer Kachout, Yasser Alharbi, Abdulrahman Alreshidi, Anurag Jain, Eissa Jaber Alreshidi, Md Haidar Sharif, Bassam Wasfi Aboshosha & Shoayee Dlaim Alotaibi (2022) Securing Diagnosed Parkinson's Disease Data by Blockchain Technology using 2E2C Algorithm, IETE Journal of Research, DOI: 10.1080/03772063.2022.2063196 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal's peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue. The journal has not confirmed if the authors were aware of this compromised peer review process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as “Retracted”.

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”: Yuntao Zou & Jiang Li (2022) Sequential Pattern Data Mining Algorithm and Blockchain Technology for Preparing a Housing Price Prediction Model, IETE Journal of Research, DOI: 10.1080/03772063.2022.2038286 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal's peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue. The journal has not confirmed if the authors were aware of this compromised peer review process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”: Yan Liu, Yali Gu, Di Yang & Jingmin Wang (2022) Fault Identification and Relay Protection of Hybrid Microgrid Using Blockchain and Machine Learning, IETE Journal of Research, DOI: 10.1080/03772063.2022.2050307 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue. The journal has not confirmed if the authors were aware of this compromised peer review process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as “Retracted”.

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”: Kusum Yadav, Anurag Jain, Nada Mohamed Osman Sid Ahmed, Sawsan Ali Saad Hamad, Gaurav Dhiman & Shoayee Dlaim Alotaibi (2022) Internet of Thing based Koch Fractal Curve Fractal Antennas for Wireless Applications, IETE Journal of Research, doi:10.1080/03772063.2022.2058631 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue. The journal has not confirmed if the authors were aware of this compromised peer review process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as “Retracted”.

Statement of Retraction We, the Editor-in-Chief and Publisher of International Journal of Healthcare Management, have retracted 8 articles that were published in the Special Issue titled “Safety & Security of Medical Health Data for IoT-based healthcare systems”. Following publication, the Publisher identified concerns regarding the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal's peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editor-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. The full list of retracted articles is detailed below: • Saturi, S., & Banda, S. (2022). Modelling of deep learning enabled lung disease detection and classification on chest X-ray images. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2102223 • Karanam, S. R., Srinivas, Y., & Chakravarty, S. (2022). A systematic approach to diagnosis and categorization of bone fractures in X-Ray imagery. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2097765 • A, T., Saju, R., John, A., & C, U. A. (2022). DMSENet: Deep multi-modal squeeze and excitation network for the diagnosis of Alzheimer's disease. International Journal of Healthcare Management, 1–13. https://doi.org/10.1080/20479700.2022.2130631 • Praveen, S. P., Murali Krishna, T. B., Anuradha, C. H., Mandalapu, S. R., Sarala, P., & Sindhura, S. (2022). A robust framework for handling health care information based on machine learning and big data engineering techniques. International Journal of Healthcare Management, 1–18. https://doi.org/10.1080/20479700.2022.2157071 • Bhan, A., Mangipudi, P. S., & Goyal, A. (2023). Left atrium MRI image segmentation using efficient Xception stochastic depth based generative adversarial network. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2023.2166206 • Sonia, S. V. E., Nedunchezhian, R., Ramakrishnan, S., & Kannammal, K. E. (2023). An empirical evaluation of benchmark machine learning classifiers for risk prediction of cardiovascular disease in diabetic males. International Journal of Healthcare Management, 1–16. https://doi.org/10.1080/20479700.2023.2170006 • Haulath, K., & Mohamed Basheer, K. P. (2023). TT self-weighted Deep-AD3-Net: An AD stage and risk prediction. International Journal of Healthcare Management, 1–13. https://doi.org/10.1080/20479700.2023.2175414 • Karanam, S. R., Srinivas, Y., & Chakravarty, S. (2023). A statistical model approach based on the Gaussian Mixture Model for the diagnosis and classification of bone fractures. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2161146

Statement of Retraction We, the Editor-in-Chief and Publisher of International Journal of Healthcare Management, have retracted 8 articles that were published in the Special Issue titled “Safety & Security of Medical Health Data for IoT-based healthcare systems”. Following publication, the Publisher identified concerns regarding the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal's peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editor-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. The full list of retracted articles is detailed below: • Saturi, S., & Banda, S. (2022). Modelling of deep learning enabled lung disease detection and classification on chest X-ray images. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2102223 • Karanam, S. R., Srinivas, Y., & Chakravarty, S. (2022). A systematic approach to diagnosis and categorization of bone fractures in X-Ray imagery. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2097765 • A, T., Saju, R., John, A., & C, U. A. (2022). DMSENet: Deep multi-modal squeeze and excitation network for the diagnosis of Alzheimer's disease. International Journal of Healthcare Management, 1–13. https://doi.org/10.1080/20479700.2022.2130631 • Praveen, S. P., Murali Krishna, T. B., Anuradha, C. H., Mandalapu, S. R., Sarala, P., & Sindhura, S. (2022). A robust framework for handling health care information based on machine learning and big data engineering techniques. International Journal of Healthcare Management, 1–18. https://doi.org/10.1080/20479700.2022.2157071 • Bhan, A., Mangipudi, P. S., & Goyal, A. (2023). Left atrium MRI image segmentation using efficient Xception stochastic depth based generative adversarial network. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2023.2166206 • Sonia, S. V. E., Nedunchezhian, R., Ramakrishnan, S., & Kannammal, K. E. (2023). An empirical evaluation of benchmark machine learning classifiers for risk prediction of cardiovascular disease in diabetic males. International Journal of Healthcare Management, 1–16. https://doi.org/10.1080/20479700.2023.2170006 • Haulath, K., & Mohamed Basheer, K. P. (2023). TT self-weighted Deep-AD3-Net: An AD stage and risk prediction. International Journal of Healthcare Management, 1–13. https://doi.org/10.1080/20479700.2023.2175414 • Karanam, S. R., Srinivas, Y., & Chakravarty, S. (2023). A statistical model approach based on the Gaussian Mixture Model for the diagnosis and classification of bone fractures. International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2161146

Statement of Retraction We, the Editor-in-Chief and Publisher of Bioengineered (the “Journal”), have retracted the following articles which were published in the Special Issue titled “Algal Bioprocess Engineering”, guest edited by Pau Loke Show, Kit Wayne Chew & Jo-Shu Chang, Bioengineered, 11(S12), originally published in 10(01) and 11(01). Show, P. L., Chew, K. W., & Chang, J. S. (2020). Special issue on algae bioprocess engineering. Bioengineered, 11(SI2), 188. https://doi.org/10.1080/21655979.2020.1729546 Koyande, A. K., Show, P. L., Guo, R., Tang, B., Ogino, C., & Chang, J. S. (2019). Bio-processing of algal bio-refinery: a review on current advances and future perspectives. Bioengineered, 11(SI2), 574–592. https://doi.org/10.1080/21655979.2019.1679697 Ghanbariasad, A., Taghizadeh, S. M., Show, P. L., Nomanbhay, S., Berenjian, A., Ghasemi, Y., & Ebrahiminezhad, A. (2019). Controlled synthesis of iron oxyhydroxide (FeOOH) nanoparticles using secretory compounds from Chlorella vulgaris microalgae. Bioengineered, 11(SI2), 390–396. https://doi.org/10.1080/21655979.2019.1661692 Cheah, W. Y., Show, P. L., Yap, Y. J., Mohd Zaid, H. F., Lam, M. K., Lim, J. W., … Tao, Y. (2019). Enhancing microalga Chlorella sorokiniana CY-1 biomass and lipid production in palm oil mill effluent (POME) using novel-designed photobioreactor. Bioengineered, 11(SI2), 61–69. https://doi.org/10.1080/21655979.2019.1704536 Tan, J. S., Lee, S. Y., Chew, K. W., Lam, M. K., Lim, J. W., Ho, S. H., & Show, P. L. (2020). A review on microalgae cultivation and harvesting, and their biomass extraction processing using ionic liquids. Bioengineered, 11(SI2), 116–129. https://doi.org/10.1080/21655979.2020.1711626 Taghizadeh, S. M., Berenjian, A., Chew, K. W., Show, P. L., Mohd Zaid, H. F., Ramezani, H., … Ebrahiminezhad, A. (2020). Impact of magnetic immobilization on the cell physiology of green unicellular algae Chlorella vulgaris. Bioengineered, 11(SI2), 141–153. https://doi.org/10.1080/21655979.2020.1718477 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor-in-Chief and Publisher have decided to retract all the articles within the above-named Special Issue. The Editor-in-Chief and the Publisher have not confirmed if all the authors were aware of the concerns with the peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

In recent years, the building industry, as the main source of carbon emissions, has received extensive attention from various sectors of society in context of national carbon peaking and carbon neutrality goals. As a result, prefabricated buildings supported by Building Information Modeling (BIM) technology have been guiding the development of the industry towards new technologies and processes. Due to the gradual increase in building energy consumption and increasing severity of material waste, the government has begun to vigorously advocate and support prefabricated buildings. This paper takes prefabricated reinforced concrete structure buildings as the research object, starting from various stages of the building's entire life cycle, and explores the modern construction technology that combines BIM and prefabricated buildings. It analyzes the planning and analysis design, scheme coordination design, and deepening design of prefabricated components in design stage of prefabricated buildings based on BIM technology. Furthermore, it explores the application of intelligent technology and information technology in the entire life cycle of prefabricated buildings. Based on a deep understanding of theoretical knowledge and practical investigation of prefabricated buildings, this paper explores the application of BIM technology, proposes the feasibility and applicability of applying BIM technology to actual projects, and provides targeted recommendations.

We, the Editor-in-Chief and Publisher of Intelligent Buildings International (the ‘Journal’), have retracted the following articles that were published in the Special Issue titled ‘ AI and IoT Applications for Energy Conservation for Smart and Sustainable Buildings ’, guest edited by Zhenling Liu: Fanwei Meng & Huaiyuan Yu (2023) Low carbon design strategies for landscape architecture based on renewable energy technologies, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2179010 Yujuan Jin & Jiaqi Wang (2023) Integrated application strategy of large-scale intelligent building based on renewable energy technology, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2167801 Hui Tang, Jie Yan & Chaohui Zheng (2023) Supply–demand matching and coupling coordination characteristics of urban park green space from a health perspective, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2166895 Yangyang Wei & Shan Li (2023) Research on indoor light environment optimization of nursing home community based on artificial neural network, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2176812 Zhihui Xi & Xiaotong Jin (2023) Study on ecological aesthetic wisdom in Hunan ancestral hall architecture based on BIM technology, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2182754 Hong Chai & Yibo Zhang (2023) Research on application of BBMOPSO algorithm in building energy efficiency design, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2185192 Liang Guo, Wenqiang Li, Li Wang, Zhen Jing & Jun Ma (2023) An error estimation method for harmonic control of smart grid based on BP neural network, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2199141 Cong Du, Jiaxin Zhang, Haoyang Bai, Lijian Ren & Yi Wen (2023) Seismic detection and analysis method of concrete structures in building construction based on BIM technology, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2206988 Jialing Li, Haihong Li & Jiayi Huang (2023) Research on the renewal and renovation of Rabbit Mountain Site Park oriented by the construction of green blocks, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2223895 Ting Hu & Wei Wang (2023) 3D image reconstruction of architectural model based on 3D printing technology, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2228780 Rui Deng (2023) Research on the application of RAGA-PP projection model in sustainable architecture: evaluation and optimization, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2256709 Chengquan Gao & Yufeng Zhao (2023) Genetic algorithm-based land use optimization for smart city planning, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2256726 Jia Ling Li, Jia Yi Huang & Ru De Liu (2023) Research on the optimization of the spatial structure of the rural complex based on spatial syntax–the example of Fushan village in Pingjiang County, Intelligent Buildings International, DOI: 10.1080/17508975.2023.2288350 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editor-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

We, the Editors and Publisher of the journal Cybernetics and Systems, have retracted the following article: Arun Shalin, L. V., Kalaivani, K., Vishal Ratansing, P., & Sathish Kumar, J. (2022). Prognostic Analysis and Early Prediction of Lung Cancer through Gene Analysis. Cybernetics and Systems, 1–17. https://doi.org/10.1080/01969722.2022.2159153 Following publication, the Publisher identified concerns regarding the peer review process for this article. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the article was not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract the article. The Editor-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability: Nan Li, Shuwen Yang & Yongming Hua (2023) Exploration on inheritance and innovation of material technology and material culture in folk arts, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170360 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability: Ping Liu & Yang Li (2023) Ecological technology of green building in the initial stage of design based on BIM technology, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170355 Following publication, concerns were raised about the peer review and decision-making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability: Dong Sun & Yong Wei (2023) Image processing algorithm for mechanical properties testing of hightemperature materials based on time‐frequency analysis, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170357 Following publication, concerns were raised about the peer review and decision‐making processes for this special issue. After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor‐in‐Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. The authors have been informed of this decision. We have been informed in our decision‐making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.