Engineering最新文献

{"title":"Frontiers of Extreme Manufacturing: From Atomic Precision to Autonomous System","authors":"Hailong Cui, Lin Li, Dongming Guo","doi":"10.1016/j.eng.2026.10.007","DOIUrl":"https://doi.org/10.1016/j.eng.2026.10.007","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"5 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149232689","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":"Transfer Learning-Based Framework for Joint Scheduling and Control Across Manufacturing Domains Toward Industry 5.0","authors":"Panagiotis D. Parashos, Dimitrios E. Koulouriotis","doi":"10.1016/j.eng.2026.08.030","DOIUrl":"https://doi.org/10.1016/j.eng.2026.08.030","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"142 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149232690","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":"Diffusion Strategy of Water Electrolytic Hydrogen in Desert Energy Systems and Ecosystems","authors":"Jiarong Li, Zifu Zhang, Jiaxin Xu, Jin Lin, Huimin Lei, Mun S. Ho, Chris P. Nielsen, Jianxiao Wang, Feng Song, Xinxin Pang, Yonghua Song, Michael B. McElroy","doi":"10.1016/j.eng.2026.09.015","DOIUrl":"https://doi.org/10.1016/j.eng.2026.09.015","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"11 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149232229","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":"Outburst Floods Redefine Design Floods for Critical Infrastructure in High-Mountain Rivers","authors":"Shihao Xiao, Jian He, Ruochen Jiang, Xin He, Yingyue Han, Ruiqiang Bai, Luyu Ju, Limin Zhang","doi":"10.1016/j.eng.2026.10.005","DOIUrl":"https://doi.org/10.1016/j.eng.2026.10.005","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"21 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149232230","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":"Second-Scale Fabrication of Chang’e-6 Agglutinate-Inspired Lunar Glass","authors":"Siqi Zhou, Qi Zhou, Feng Li, Wanpeng Li, Baodong Chen, Yutong Deng, Jiayuan Liu, Hao Wang, Yu Jiang, Zhiqian Lin","doi":"10.1016/j.eng.2026.10.006","DOIUrl":"https://doi.org/10.1016/j.eng.2026.10.006","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"4 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149232226","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":"Multi-Criteria Evaluation of Lunar Regolith Minerals for In-Situ Thermal Manufacturing and Feedstock Beneficiation","authors":"Zekai Wang, Fen Dang, Wucheng Sun, Yan Zhou, Cheng Zhou, Chunze Yan, Yusheng Shi, Lieyun Ding","doi":"10.1016/j.eng.2026.09.011","DOIUrl":"https://doi.org/10.1016/j.eng.2026.09.011","url":null,"abstract":"The heterogeneous mineral composition of lunar regolith significantly influences its thermal forming behavior, posing challenges for <ce:italic>in-situ</ce:italic> resource utilization (ISRU) in lunar construction. This study characterizes fifteen mineral phases identified from Chang’e-5 and Chang’e -6 returned samples and evaluates the manufacturing suitability of the ten complete-data minerals for three representative thermoforming processes: hot-press sintering (HPS), microwave sintering (MWS), and selective laser melting (SLM). Eight thermophysical properties (solidus temperature, specific heat capacity, thermal conductivity, melt viscosity, surface tension, density, dielectric loss tangent, and solar absorptivity) were characterized for all fifteen minerals. A multi-criteria decision-making framework integrating fuzzy-analytic hierarchy process (AHP)–entropy multiplicative weighting was developed to determine process-specific parameter weights, and the mineral suitability was ranked using dual TOPSIS–VIKOR methods. The combined weights identified thermal conductivity (33.7%) as the dominant parameter for HPS, dielectric loss tangent (57.3%) for MWS, and solar absorptivity (33.0%) for SLM, reflecting the distinct heat transfer mechanisms of each process. For the ten complete-data minerals, a process-specific suitability ranking was established, identifying ilmenite as the only universally superior ranked mineral, the pyroxene group as favorable for HPS and SLM, and the feldspar group as consistently unfavorable across the three processes. Sensitivity analyses (Monte Carlo weight perturbation and VIKOR <ce:italic>v</ce:italic>-parameter variation) confirmed the robustness of the rankings. Gradient blending experiments validated the predictions at both macroscopic and microscopic scales, with cross-process density correlation yielding Pearson <ce:italic>r</ce:italic> = 0.788 (<ce:italic>p</ce:italic> = 0.002) and Spearman <ce:italic>ρ</ce:italic> = 0.825 (<ce:italic>p</ce:italic> = 0.001), and within-process rank agreement of <ce:italic>ρ</ce:italic> = 1.000 for all three processes. The findings provide first-order guidance for mineral beneficiation strategies, manufacturing process selection, and preliminary landing-site evaluation in future lunar base construction.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"9 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149123618","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":"Full-Domain Coupler: A Wireless Native Neural Backbone for Channel Representation and Deduction","authors":"Zirui Chen, Ziqing Xing, Zhaoyang Zhang, Hongning Ruan, Yuzhi Yang, Zhaohui Yang, Chongwen Huang, Mérouane Debbah","doi":"10.1016/j.eng.2026.09.010","DOIUrl":"https://doi.org/10.1016/j.eng.2026.09.010","url":null,"abstract":"Data representation is a fundamental issue in deep learning. However, as wireless data scale and deeply couple across many physical domains such as time, space, and frequency, existing wireless artificial intelligence (AI) technologies lack dedicated representation solutions. Instead, they mainly rely on stitching general-purpose networks, a “tool-driven” paradigm that inevitably results in structural redundancy and bottlenecks in information flow. To fill this gap, this paper proposes Coupler, a wireless native-AI neural backbone designed for the representation learning of channel state information—the pivotal data in wireless systems. Leveraging the physical insights revealed by channel tensors, Coupler decomposes representation learning into individual domains on a layer-by-layer basis and then couples the learned domain-specific features through a dimension-staggered cascade. This full-domain interleaved learning architecture enables superior parameter efficiency and fine-grained multi-domain feature fusion. Based on this backbone, we use complex-domain multilayer perceptrons as spatial and frequency domain learners, while employing three optional mechanisms—convolution, attention, or gating—to capture temporal dependencies. This results in a series of efficient and extremely lightweight channel learning schemes with diverse functionalities, showcasing the compactness, versatility, and flexibility of Coupler. We evaluate these schemes on channel deduction, a general representation task encompassing channel estimation, interpolation, prediction, and feedback. Extensive experimental evaluations validate the significant performance gains and robust applicability, even for real-world measured data, demonstrating Coupler’s potential as a promising basic architecture in the design of wireless foundation models.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"21 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149123614","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":"Humanistic Engineering: Why Hybrid Human–AI Cognition Creates a Structural Demand for the Humanities","authors":"Pier Luigi Sacco","doi":"10.1016/j.eng.2026.09.006","DOIUrl":"https://doi.org/10.1016/j.eng.2026.09.006","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"8 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085873","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":"Evasive Guidance Law Against Proportional Navigation Considering Dynamic Lag","authors":"Mengke Zhao, Libing Hou, Heng Shi, Luhua Yang, Minchi Kuang, Jihong Zhu","doi":"10.1016/j.eng.2026.08.026","DOIUrl":"https://doi.org/10.1016/j.eng.2026.08.026","url":null,"abstract":"Terminal-phase evasion serves as a last-resort measure to improve target survivability against missile threats, motivating analytical evasive guidance laws that are both transparent and deployable. However, existing approaches either idealize the target maneuver as a zero-lag input or rely on adjoint integration for online command generation, thereby hindering full exploitation of evasive potential. To address this, an analytical bang-bang evasive guidance law against proportional-navigation (PN)-guided missiles is proposed in this paper, which explicitly incorporates first-order target dynamics and determines the switching direction without online adjoint integration. The key idea is to derive an analytical adjoint representation of this dynamic-lag-aware engagement model and express the associated switching function as a convergent power series, thereby enabling an error-controlled finite-order realization for low-complexity evaluation. Two special cases, corresponding to integer PN gains and matched target-missile time constants, are also derived for further simplification. Representative simulations validate numerical consistency with the adjoint-integration baseline at substantially lower runtime and demonstrate an average miss-distance gain exceeding 2 m over the zero-lag formulation, with broader applicability indicated by Monte Carlo analysis and a three-dimensional (3D) realistic engagement. Hardware deployment on a TMS320F28377D flight controller achieves an approximately 50-fold speedup within typical flight-control timing budgets, supporting practical real-time onboard implementation.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"19 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085808","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":"Nanomaterial-Mediated Clearance of Circulating Cell-Free DNA Reduces Periodontitis-Associated Arterial Thrombosis","authors":"Xuanzhi Zhu, Jinting Ge, Chengxin Weng, Quanxin Ning, Yuhan Qi, Suwan Ding, Huiyi Liang, Biao Jing, Xiao Chen, Shouzheng Cheng, Jichun Zhao, Ding Yuan, Tiehao Wang, Huawei Zhang, Fangman Chen, Bing Shi, Lei Zhao, Xianglong Han, Yafei Wu, Dan Shao, Kam W. Leong, Hanyao Huang","doi":"10.1016/j.eng.2026.09.005","DOIUrl":"https://doi.org/10.1016/j.eng.2026.09.005","url":null,"abstract":"Patients with periodontitis exhibit heightened susceptibility to arterial thrombosis, predisposing them to severe cardiovascular events. Gaining insights into the immune mediators linking periodontitis to arterial thrombosis is critical for developing targeted therapeutic strategies. In this study, we demonstrated that elevated plasma levels of cell-free DNA (cfDNA), a key immune mediator, were significantly associated with periodontitis severity, as indicated by increased clinical attachment loss and elevated gingival index scores. Using a combination of human clinical samples and animal models, our research identified a key mechanistic pathway: Periodontitis-induced circulating cfDNA activates Toll-like receptor 9 (TLR9) signaling, which subsequently triggers platelet activation and neutrophil extracellular trap (NET) formation to synergistically drive procoagulant responses. <ce:italic>In vivo</ce:italic>, periodontitis exacerbated arterial thrombus formation and compromised vascular perfusion. Hypothesizing that targeting the cfDNA–TLR9–NET axis would help mitigate periodontitis-promoted thrombosis, biodegradable nanomaterials with a cationic surface were engineered to efficiently clear circulating cfDNA. Administration of these cfDNA scavengers suppressed platelet activation and NETosis both <ce:italic>in vitro</ce:italic> and <ce:italic>in vivo</ce:italic>, reduced arterial thrombus burden, and restored vascular perfusion. These functional improvements were accompanied by attenuation of the cfDNA–TLR9–NET cascade and upregulation of vascular contractile gene signatures. These insights highlight the cfDNA–TLR9–NET axis as a potent link between oral and vascular inflammation, offering a promising therapeutic framework to mitigate arterial thrombotic risk in patients with periodontitis.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"10 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085807","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}