Engineering最新文献

{"title":"Nano-Engineered Platforms for Next-Generation Tumor Ablation: Integrating Local Eradication with Systemic Immunomodulation","authors":"Jinhua Luo, Bufu Tang, Xiaojie Zhang, Yun Hu, Shiji Fang, Yang Yang, Gaofeng Shu, Jingjing Song, Zhongwei Zhao, Hamid Reza Karimi, Minjiang Chen, Jiansong Ji","doi":"10.1016/j.eng.2026.04.007","DOIUrl":"https://doi.org/10.1016/j.eng.2026.04.007","url":null,"abstract":"Minimally invasive tumor ablation techniques, such as radiofrequency ablation, microwave ablation, and cryoablation, have emerged as important modalities for treating solid tumors, owing to their advantages such as rapid recovery after treatment and reduced surgical trauma. However, their clinical efficacy remains limited by various factors, including incomplete ablation, high rates of recurrence, and an immunosuppressive tumor microenvironment. In recent years, the advent of nanoengineering strategies has provided promising avenues to overcome these limitations. Owing to their unique properties, such as tumor-targeting, controlled drug release, and immunomodulatory functions, nanocarriers not only enhance the local efficacy of ablation therapies but also modulate cell death pathways, such as pyroptosis and ferroptosis, and reprogram the tumor immune microenvironment. These effects collectively activate systemic antitumor immune responses. This review summarizes the underlying mechanisms by which nanoengineered systems augment tumor ablation, with a specific focus on key pathways through which nanocarriers synergize with ablation therapies to improve therapeutic outcomes. This review also critically assesses current limitations, including biosafety concerns and translational challenges, and discusses future perspectives, such as the development of intelligent nanocarriers and multimodal combination strategies. Ultimately, this work aims to provide theoretical insights and practical guidance for advancing the efficacy and personalization of tumor ablation therapies.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"43 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147744093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Stretchable Optogenetic Probe for Wireless Control of Bladder Nociception","authors":"Janghoon Joo, Hannah A. Anderson, Wooseok Kim, Shane H. Priester, Bogeun Kim, Firoj Alom, Doyoung Kim, Bhavana Talluri, Hee Kyu Lee, Joohoon Kang, Geumbee Lee, Jae-Young Yoo, Aaron D. Mickle, Sang Min Won","doi":"10.1016/j.eng.2026.03.020","DOIUrl":"https://doi.org/10.1016/j.eng.2026.03.020","url":null,"abstract":"Wireless optogenetic systems enable precise manipulation of neural circuits in freely moving animals. However, challenges in accommodating tissue deformation and ensuring stable light delivery limit their application in dynamic organs such as the bladder. Here, we present a fully implantable wireless optogenetic system that addresses these challenges through a bioinspired design, incorporating an intrinsically stretchable polyurethane elastomer tube that encases microscale inorganic light-emitting diodes (µ-ILEDs) and associated electrodes. This design minimizes localized strains and maintains device integrity under cyclic tissue deformation. The system operates at 13.56 MHz via magnetic resonant coupling (MRC) for robust wireless power transfer and programmable light control, ensuring efficient energy harvesting across diverse environments. <em>In vivo</em> application in a mouse model of cyclophosphamide (CYP)-induced acute cystitis demonstrated that optogenetic activation of the inhibitory opsin ArchT in TRPV1-lineage sensory neurons modulated nociceptive signaling, as suggested by behavioral changes in a place preference assay. Additionally, the implant did not induce fibrotic encapsulation during the 8-day implantation period, suggesting favorable acute <em>in vivo</em> biocompatibility. These findings demonstrate the utility of this system for localized neuromodulation in deformable visceral tissues, with effective <em>in vivo</em> validation using a mouse model of bladder nociception.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"65 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147695507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Infant Gut Virome: Knowns, Unknowns, and Avenues for Future Studies","authors":"Nataliia Kuzub, Asier Fernández-Pato, Sanzhima Garmaeva, Alexandra Zhernakova","doi":"10.1016/j.eng.2026.03.018","DOIUrl":"https://doi.org/10.1016/j.eng.2026.03.018","url":null,"abstract":"The role of the gut microbiome in both infant and adult health is widely recognized. Until recently, most studies have focused on bacterial communities, often neglecting other components of the gut ecosystem. However, the virome—a highly abundant and diverse community of viruses (predominantly bacteriophages)—plays a crucial role in shaping the gut environment. In this review, we describe the composition of the gut virome, summarize laboratory and bioinformatic challenges associated with virome analysis, and provide an overview of studies examining the gut virome in early life. This work has highlighted dynamic changes during infancy and associations between viruses and infant diseases. While research on the gut virome is still in its early stages, the ability of viruses to influence the ecosystem means the gut virome holds significant potential for improving future microbiome-based treatments.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"433 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Generic Damage-Plasticity Model for Confined Concrete in Various Stress States","authors":"Yichen Lu, Guangming Chen","doi":"10.1016/j.eng.2026.04.003","DOIUrl":"https://doi.org/10.1016/j.eng.2026.04.003","url":null,"abstract":"Confined concrete has garnered significant attention owing to its advantages, such as enhanced strength, improved deformation capacity, and associated benefits when used in engineering structures. Although existing constitutive models reasonably predict the behavior of actively and passively confined concrete columns under axial compression, they are not designed to model concrete behavior in various stress states encountered in practice, including eccentrically compressed concrete columns passively confined by fiber-reinforced polymer (FRP) sheets. Accordingly, this study presents a new three-dimensional damaged-plasticity model for confined concrete under various stress states, based on the well-known Lubliner–Lee damaged-plasticity model. A key advancement involves a capped potential surface with a bulged triangular deviatoric trace under compression-dominated stress states and a Drucker–Prager potential surface under tension-dominated stress states, connected by a smooth transition. The potential surface, along with a properly designed yield surface, hardening rule, and evolution law for internal variables, makes the proposed model well suited to capturing concrete behavior under various stress states, including triaxial compression, tension–compression, and loading–unloading. The constitutive model is first validated against monotonic and cyclic axial-compression data for actively and passively confined concrete and then verified using eccentric-compression results for FRP-confined concrete. The validation confirms the capability and accuracy of the proposed model to capture concrete<ce:hsp sp=\"0.25\"></ce:hsp>behavior under various stress states.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"33 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative and Large AI Models for 6G Wireless Networks: The Optimization Perspective","authors":"Yong Zhou, Ting Wang, Youlong Wu, Puyu Cai, Fuhui Zhou, Yuanming Shi","doi":"10.1016/j.eng.2026.03.016","DOIUrl":"https://doi.org/10.1016/j.eng.2026.03.016","url":null,"abstract":"The transition to sixth-generation (6G) wireless networks is expected to introduce increasingly complex network architectures, disruptive wireless technologies, ultra-high network density, and diverse service requirements, necessitating highly efficient algorithm design for large-scale and non-convex network optimization. However, conventional optimization-based algorithms usually require sophisticated mathematical modeling and exhibit high computational complexity, while classic learning-based algorithms often suffer from poor robustness and generalization, as well as a lack of cross-scenario meta-optimization capabilities. In contrast, given their strong reasoning and contextual understanding abilities, generative and large artificial intelligence (AI) models are emerging as promising technologies to overcome these limitations. In this article, we propose the leveraging of generative and large AI models for scalable and generalizable network optimization, with an emphasis on facilitating information compression, beamforming design, and automated optimization for dynamic wireless networks with limited radio resources. We introduce a diffusion-based generation framework to solve multi-objective optimization problems for efficient information compression and transmission. We also present a large AI model-based framework for solving non-convex continuous optimization problems for beamforming design in both cell-free wireless networks and integrated sensing and communication networks. Finally, we propose an innovative large AI model-based framework that can automatically solve mixed-integer nonlinear programming problems for microservice deployment over satellite networks.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"34 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147664074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agricultural Sensors: Empowering Intelligent and Sustainable Agriculture","authors":"Chunjiang Zhao, Mohamed Jamal Deen","doi":"10.1016/j.eng.2026.04.004","DOIUrl":"https://doi.org/10.1016/j.eng.2026.04.004","url":null,"abstract":"<span><figure><span><img alt=\"\" height=\"183\" src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2095809926001888-fx1.jpg\"/><ol><li><span><span>Download: <span>Download high-res image (84KB)</span></span></span></li><li><span><span>Download: <span>Download full-size image</span></span></span></li></ol></span></figure></span>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"22 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147649322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic Calibration of Structural Damage in Building Information Modeling Models with Robotic Process Automation","authors":"Fidel Lozano Galant, Edison Atencio, Nikola Tošić, Jesús González-Arteaga, Ye Xia","doi":"10.1016/j.eng.2026.04.001","DOIUrl":"https://doi.org/10.1016/j.eng.2026.04.001","url":null,"abstract":"Building information modeling (BIM) enables the integration of multidisciplinary data into detailed three-dimensional structural models. However, accurately capturing the mechanical behavior of real-world structures requires the calibration of these virtual models with <ce:italic>in situ</ce:italic> measurements, particularly to reflect damage-induced changes that influence safety and structural integrity. Traditional calibration workflows rely heavily on the manual updating of structural databases and parameter assignments, which are time-consuming, prone to human error, and lack scalability. This study presents, for the first time, a robotic process automation (RPA)-based workflow for automating the integration of corrosion-related damage into structural BIM models. A bridge structure serves as a demonstrative case. However, the proposed methodology is not confined to bridge engineering. The underlying framework is broadly applicable to a wide range of civil infrastructural assets including buildings, tunnels, retaining walls, and industrial facilities. Beyond damage integration, the proposed RPA-based approach can be extended to automate various repetitive and error-prone tasks related to design, maintenance, and operation, such as model updating, inspection data extraction, documentation management, and multidisciplinary workflow coordination, thereby enhancing the efficiency and reliability throughout the lifecycle of infrastructure. Steel bridges affected by corrosion damage were selected as representative case studies because of their vulnerability to environmental exposure, labor-intensive nature of frequent inspections, and digital model updates. The structural and geometric complexities of bridges, combined with available on-site inspection data, provide a challenging yet realistic scenario for validating the performance and robustness of the proposed automation strategy. A case study involving a real footbridge validated the effectiveness of the RPA tool and demonstrated significant improvements in efficiency, accuracy, and repeatability compared with conventional manual methods. This study presents a novel and scalable application of RPA in structural BIM calibration, offering a practical, low-risk solution to enhance digital twin fidelity and structural health monitoring across diverse civil infrastructure sectors.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"33 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to ’ False Data Injection Attacks on Data-Driven Algorithms in Smart Grids Utilizing Distributed Power Supplies’ [Engineering Volume 51C (2025) 62–74]","authors":"Zengji Liu, Mengge Liu, Qi Wang, Yi Tang","doi":"10.1016/j.eng.2026.03.013","DOIUrl":"https://doi.org/10.1016/j.eng.2026.03.013","url":null,"abstract":"The publisher regrets the CRediT authorship contribution statement was inserted incorrectly and the correct statement should be updated as below:","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"52 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147617594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quasi-Static Hypergraph Neural Networks: A High-Performance Approach for Digital Twin Modeling of Manufacturing Process Systems with Dynamic Performance Evolution","authors":"Yiru Chen, Peiyuan Ding, Jianfu Zhang, Pingfa Feng, Xiangyu Zhang, Jianjian Wang","doi":"10.1016/j.eng.2026.03.012","DOIUrl":"https://doi.org/10.1016/j.eng.2026.03.012","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"62 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147598550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Phospholipid Metabolic Switch in Lung Cancer: Igniting Transformation, Fortifying Survival, and Informing Therapy","authors":"Wei-Qian Bao, Tian-Tian Xu, Bi-Qing Huang, Shu-Qin Li, Meng-Lin Jiang, Gang-Yuan Ma, Cui-Fen Zhang, Liqing Chen, Dezhi Li, Nan-Jie Zhou, Tu-Liang Liang, Lu Gan, Xiaoting Peng, Yuanyuan Song, Jun Zheng, Yujuan Zhan, Hu-Dan Pan, Quan Liu, Yicheng Zhao, Liang Liu, Run-Ze Li","doi":"10.1016/j.eng.2026.02.033","DOIUrl":"https://doi.org/10.1016/j.eng.2026.02.033","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"13 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147598953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}