EngineeringPub Date : 2025-07-16DOI: 10.1016/j.eng.2025.07.016
Bin Zhao, Jialin Yang, Ruiping Liu, Jiuhui Qu, Meng Sun
{"title":"Simultaneous Denitrification and Decarbonization of Wastewater over In Situ Generation of ·ClO Radicals Through a Fast, High-Performance Electro-Filtration Process","authors":"Bin Zhao, Jialin Yang, Ruiping Liu, Jiuhui Qu, Meng Sun","doi":"10.1016/j.eng.2025.07.016","DOIUrl":"https://doi.org/10.1016/j.eng.2025.07.016","url":null,"abstract":"The contamination of wastewater with organic pollutants and nitrogen compounds poses significant environmental challenges. The primary objective of wastewater treatment is the simultaneous denitrification and decarbonization of ammonia nitrogen into harmless by-products. This study presents a novel method for the directional generation of chlorine radical species like ·ClO and ·Cl using electro-reactive membranes (EMs), which were fabricated using an electro-deposition coupled template approach known as RuO<sub>2</sub>@PbO<sub>2</sub>-M. This method facilitates the rapid and efficient conversion of ammonia to nitrogen and concurrently reduces the chemical oxygen demand in the effluent. Our system achieved ultra-efficient simultaneous denitrification and decarbonization with minimal energy consumption in single-filtration mode, thereby eliminating the need for chemical precursors. We elucidate the formation pathway of ·ClO and ·Cl during the electrochemical oxidation process involving RuO<sub>2</sub>@PbO<sub>2</sub>-M, where ·Cl generated from RuO<sub>2</sub> reacts with ·OH from PbO<sub>2</sub> under hypochlorous acid conditions, thereby enhancing nitrogen and carbon removal. These findings highlight a novel filtration model that utilizes single-channel electro-filtration and an innovative reactive membrane design for ·ClO synthesis, which provides a new research framework for the concurrent removal of nitrogen and carbon, and offers a promising solution to enhance wastewater treatment efficiency.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"24 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144640715","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":"Contrasting Macroevolutionary Patterns in the Human N-Glycosylation Pathway","authors":"Domagoj Kifer, Nina Čorak, Mirjana Domazet-Lošo, Niko Kasalo, Gordan Lauc, Göran Klobučar, Tomislav Domazet-Lošo","doi":"10.1016/j.eng.2025.06.039","DOIUrl":"https://doi.org/10.1016/j.eng.2025.06.039","url":null,"abstract":"Building on coding mutations and splicing variants, post-translational modifications add a final layer to protein diversity that operates at developmental and physiological timescales. Although protein glycosylation is one of the most common post-translational modifications, its evolutionary origin remains largely unexplored. Here, we performed a phylostratigraphic tracking of glycosylation machinery (GM) genes and their targets—glycosylated proteins—in a broad phylogenetic context. Our results show that the vast majority of human GM genes trace back to two evolutionary periods: the origin of all cellular organisms and the origin of all eukaryotes. This indicates that protein glycosylation is an ancient process likely common to all life, further elaborated in early eukaryotes. In contrast, human glycoproteins exhibited prominent enrichment signals in more recent evolutionary periods, suggesting an important role in the transition from metazoans to vertebrates. Focusing specifically on the N-glycosylation (NG) pathway, we noted that the majority of NG genes acting on the cytoplasmic side of the endoplasmic reticulum (ER) trace back to the origin of cellular organisms. This sharply contrasts with the rest of the NG pathway, which is oriented toward the ER lumen, where genes of eukaryotic origin predominate. In the Golgi, we also identified an analogous binary evolutionary origin of GM genes. We discuss these findings in the context of the evolutionary emergence of the eukaryotic endomembrane system and propose that the ER evolved through the invagination of a prokaryotic cell membrane containing an NG pathway.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"3 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144630435","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}
EngineeringPub Date : 2025-07-15DOI: 10.1016/j.eng.2025.04.028
Tian Wang, Junming Fan, Pai Zheng, Ruqiang Yan, Lihui Wang
{"title":"Vision-Language Model-Based Human-Guided Mobile Robot Navigation in an Unstructured Environment for Human-Centric Smart Manufacturing","authors":"Tian Wang, Junming Fan, Pai Zheng, Ruqiang Yan, Lihui Wang","doi":"10.1016/j.eng.2025.04.028","DOIUrl":"https://doi.org/10.1016/j.eng.2025.04.028","url":null,"abstract":"In smart manufacturing, autonomous mobile robots play an indispensable role in conducting inspection and material handling operations, yet they face significant limitations regarding adaptability and resilience within unstructured environments. Vision and language navigation (VLN), a human-guided navigation paradigm, emerges as a compelling solution to these challenges. Nevertheless, VLN’s practical implementation is constrained by limited task generalization capabilities, inadequate response to diverse linguistic commands, and insufficient consideration of sensor-induced noise in environmental perception. This research addresses these limitations by introducing an innovative vision-language model (VLM)-based human-guided mobile robot navigation approach in an unstructured environment for human-centric smart manufacturing (HSM). This approach encompasses robust Three-dimensional (3D) scene reconstruction through advanced point cloud techniques, zero-shot semantic segmentation via a VLM, and natural language processing through a large language model (LLM) to interpret instructions and generate control code for navigation. The system’s efficacy is validated through extensive experiments in an unstructured manufacturing setup.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"15 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144630441","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}
EngineeringPub Date : 2025-07-14DOI: 10.1016/j.eng.2025.06.038
Xinle Gong, Zhihua Zhong
{"title":"Vision Sensing for Intelligent Driving: Technical Challenges and Innovative Solutions","authors":"Xinle Gong, Zhihua Zhong","doi":"10.1016/j.eng.2025.06.038","DOIUrl":"https://doi.org/10.1016/j.eng.2025.06.038","url":null,"abstract":"With the rapid development of automotive intelligent technologies, in-vehicle vision sensors have gained traction as essential components of intelligent driving systems, providing critical road condition data, assisting driving decisions, and enabling autonomous driving functions. Compared with other in-vehicle perception sensors, vision sensors deliver more detailed and comprehensive environmental information, offering vital data to support intelligent driving decision-making and control [<span><span>1</span></span>]. Therefore, the accuracy and reliability of visual perception directly influence the safety and performance of intelligent driving systems, making it a central factor in achieving truly intelligent and autonomous vehicles. <span><span>Fig. 1</span></span> illustrates the vision sensing in intelligent driving.<figure><span><img alt=\"\" aria-describedby=\"cn0005\" height=\"203\" src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2095809925003807-gr1.jpg\"/><ol><li><span><span>Download: <span>Download high-res image (129KB)</span></span></span></li><li><span><span>Download: <span>Download full-size image</span></span></span></li></ol></span><span><span><p><span>Fig. 1</span>. Vision sensing for intelligent driving</p></span></span></figure>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"51 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622443","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}
EngineeringPub Date : 2025-07-14DOI: 10.1016/j.eng.2025.06.037
Guotao Wang, Zhenjia Lin, Yuntian Chen, Haoran Ji, Dayin Chen, Haoran Zhang, Peng Li, Jinyue Yan
{"title":"AI-Optimized Decision-Making in Energy Systems: Toward a Decision-Aware Machine Learning Framework","authors":"Guotao Wang, Zhenjia Lin, Yuntian Chen, Haoran Ji, Dayin Chen, Haoran Zhang, Peng Li, Jinyue Yan","doi":"10.1016/j.eng.2025.06.037","DOIUrl":"https://doi.org/10.1016/j.eng.2025.06.037","url":null,"abstract":"Machine learning (ML) and mathematical programming (MP) models are essential for predicting uncertain system parameters and optimizing decision-making in energy systems. However, incorporating the impact of prediction errors into ML models to inform MP models remains a significant challenge. To address this issue, we propose an artificial intelligence (AI)-native optimization (AIOpti) system that enables AI to be aware of the impact of predictions on decision-making through a deep fusion of ML and MP models. This AI-native deep fusion distinguishes AIOpti from existing research, as the latter separates accuracy-oriented learning from problem-oriented learning. When applied to scenarios such as virtual power plant operations and distributed energy management based on real-world data, AIOpti achieves lower computational costs, improved convergence, and robust performance in complex systems, enabling ML models to effectively account for the impact of prediction errors on MP models. Furthermore, our enhanced AIOpti system not only maximizes predictive accuracy but also improves decision-making quality.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"1 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622496","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}
EngineeringPub Date : 2025-07-10DOI: 10.1016/j.eng.2025.07.012
Jianbo Guo, Weisheng Wang
{"title":"Editorial: Planning and Operating Power Systems to Proactively Respond to Climate Change","authors":"Jianbo Guo, Weisheng Wang","doi":"10.1016/j.eng.2025.07.012","DOIUrl":"https://doi.org/10.1016/j.eng.2025.07.012","url":null,"abstract":"No Abstract","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"16 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144594802","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}
EngineeringPub Date : 2025-07-10DOI: 10.1016/j.eng.2025.06.036
Naixin Kang, Jianping Zhao, Penghao Gao, Yue Lu, Zhong Chen, Xiaoran Li, Ikhlas A. Khan, Shilin Yang, Qiongming Xu, Yanli Liu
{"title":"Innovative Strategies in Natural Product Drug Discovery: The Case of Anemoside B4","authors":"Naixin Kang, Jianping Zhao, Penghao Gao, Yue Lu, Zhong Chen, Xiaoran Li, Ikhlas A. Khan, Shilin Yang, Qiongming Xu, Yanli Liu","doi":"10.1016/j.eng.2025.06.036","DOIUrl":"https://doi.org/10.1016/j.eng.2025.06.036","url":null,"abstract":"Anemoside B4 (AB4), a triterpenoid saponin derived from <em>Pulsatilla chinensis</em>, has garnered considerable attention for its potent anti-inflammatory and immunomodulatory activities, culminating in its approval for clinical trials by the Center for Drug Evaluation, National Medical Products Administration, for the treatment of mild to moderate ulcerative colitis. Despite this, AB4’s therapeutic potential remained underexplored until the development of its injection formulation. This review discusses the scientific rationale and theoretical framework behind AB4’s development, offering a new paradigm and innovative research strategy for discovering lead compounds or drug candidates from natural medicines. In-depth investigations into AB4’s cellular targets, biochemical pathways, and administration routes have provided valuable insights into its druggability evaluation and clinical potential. The high water solubility of AB4, attributable to its multiple sugar units, imposes limitations on its bioavailability and pharmacokinetic profiles. To address this, structural modification via chemical methods and enzymatic hydrolysis have been employed, resulting in derivatives with reduced molecular weight, improved bioavailability, enhanced pharmacological activity, and greater clinical potential. These advances lay a solid foundation for the continued development of AB4 and its derivatives as promising therapeutic agents.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"9 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144603573","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}
EngineeringPub Date : 2025-07-10DOI: 10.1016/j.eng.2025.06.035
Weikang Chen, Haojie Bai, Yani Huo, Yifan Wu, Wei Kang, Dong Zhang, Yongxin Zhang, Shiyan Wang, Lixia Xu, Chi Chun Wong, Ka Fai To, Xiaoxing Li, Jun Yu
{"title":"Targeting IGF2BP2–CEMIP Boosts Antiangiogenic Therapy in Colorectal Cancer in Mice","authors":"Weikang Chen, Haojie Bai, Yani Huo, Yifan Wu, Wei Kang, Dong Zhang, Yongxin Zhang, Shiyan Wang, Lixia Xu, Chi Chun Wong, Ka Fai To, Xiaoxing Li, Jun Yu","doi":"10.1016/j.eng.2025.06.035","DOIUrl":"https://doi.org/10.1016/j.eng.2025.06.035","url":null,"abstract":"Angiogenesis is essential for supporting tumor progression and metastasis. However, the potential role of the epitranscriptome in regulating angiogenesis remains unclear. Here, we identify the RNA N<sup>6</sup>-methyladenosine (m<sup>6</sup>A) reader insulin-like growth factor 2 (IGF2) messenger RNA (mRNA)-binding protein 2 (IGF2BP2) as the top enriched m<sup>6</sup>A regulator in hypervascular colorectal cancer (CRC), with its expression correlating with poor prognosis. Knockdown of <em>IGF2BP2</em> in CRC cells suppressed their ability to promote pro-angiogenic phenotypes in endothelial cells in <em>vitro</em>, as well as vascular abnormalization, tumor progression, and metastasis <em>in vivo</em>. Supporting these findings, intestine-specific <em>Igf2bp2</em> knock-in mice exhibited accelerated azoxymethane (AOM) plus dextran sulfate sodium (DSS)-induced CRC through enhanced angiogenesis and vascular abnormalities, whereas intestine-specific <em>Igf2bp2</em> knockout inhibited tumor growth by normalizing tumor vasculature. Mechanistically, IGF2BP2 binds to m<sup>6</sup>A-modified cell migration inducing and hyaluronan binding protein (<em>CEMIP</em>) mRNA and enhanced its stability, leading to increased secretion of CEMIP. Secreted CEMIP interacts with membrane glucose-regulated protein 78 (GRP78) on endothelial cells, activating pro-angiogenic signaling. Importantly, targeting <em>IGF2BP2</em> through genetic ablation, lipid nanoparticle (LNP)-encapsulated small interfering <em>IGF2BP2</em>, or the chemical inhibitor (CWI1-2) synergized with anti-angiogenic drugs to suppress tumor growth in multiple CRC models. Together, these findings suggest that targeting IGF2BP2 is a promising strategy to enhance the efficacy of anti-angiogenic therapy in CRC.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"48 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144594704","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}
EngineeringPub Date : 2025-07-10DOI: 10.1016/j.eng.2025.07.013
Yunfan Zhang, Yifan Su, Feng Liu
{"title":"On Decision-Dependent Uncertainties in Power Systems with High-Share Renewables","authors":"Yunfan Zhang, Yifan Su, Feng Liu","doi":"10.1016/j.eng.2025.07.013","DOIUrl":"https://doi.org/10.1016/j.eng.2025.07.013","url":null,"abstract":"The continuously increasing renewable energy sources (RES) and demand response (DR) are becoming crucial sources of system flexibility. Consequently, decision-dependent uncertainties (DDUs), interchangeably referred to as endogenous uncertainties, impose new characteristics on power system dispatch. The DDUs faced by system operators originate from uncertain dispatchable resources such as RES units or DR, while reserve providers encounter DDUs from the uncertain reserve deployment. Thus, a systematic framework was established in this study to address robust dispatch problems with DDUs. The main contributions are drawn as follows. ① The robust characterization of DDUs was unfolded with a dependency decomposition structure. ② A generic DDU coping mechanism was manifested as the bilateral matching between uncertainty and flexibility. ③ The influence of DDU incorporation on the convexity/non-convexity of robust dispatch problems was analyzed. ④ Generic solution algorithms adaptive for DDUs were proposed. Under this framework, the inherent distinctions and correlations between DDUs and decision-independent uncertainties (DIUs) were revealed, laying a fundamental theoretical foundation for the economic and reliable operation of RES-dominated power systems. Illustrative applications in the source and demand sides are provided to show the significance of considering DDUs and demonstrate the proposed theoretical results.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"51 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144603569","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}