{"title":"Anti-Senescent Biomaterials for Breaking Intervertebral Disc Degeneration","authors":"Jia-Ying Ding, Yang-Shuo Ge, Jun Shen, Wen-Yao Li, Chun-Meng Huang, Min-Jun Zhao, Jian-li Yin, Xue-Zong Wang, Jian-Guang Xu, Wenguo Cui, Dao-Fang Ding","doi":"10.1016/j.eng.2025.07.015","DOIUrl":"https://doi.org/10.1016/j.eng.2025.07.015","url":null,"abstract":"Intervertebral disc degeneration (IVDD) is a leading cause of chronic lower back pain, affecting a significant portion of the global population. Traditional treatments, including drug administration and surgery, focus primarily on symptom relief but fail to address the underlying pathological mechanisms of IVDD. Extracellular matrix (ECM) degradation is closely related to the senescence of nucleus pulposus cells (NPCs) caused by highly levels of inflammation, overproduction of reactive oxygen species (ROS), DNA damage, low levels of autophagy, and the acidic microenvironment in the disc. This review explores the pathogenesis of IVDD mediated by NPC senescence, summarizes recent advances in biological therapy, and highlights the latest developments in antisenescent biomaterials. These biomaterials have the potential to delay disc degeneration by clearing senescent cells, inhibiting oxidative stress and inflammation, activating autophagy, and modulating the acidic microenvironment of the disc. A deeper understanding of the molecular mechanisms underlying IVDD, coupled with the design of more effective antisenescent biomaterials, offers promising avenues for optimizing therapeutic outcomes and improving patients’ quality of life.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"3 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144645797","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 : 2025-07-17DOI: 10.1016/j.eng.2025.06.040
Gong Li, Ang Gao, Xin-Yi Lu, Tian-Hong Zhou, Shi-Ying Zhou, Li-Jua n Xia, Lei Wan, Yu-Zhang He, Xin-Yi Chen, Wen-Ying Guo, Jia-Min Zheng, Hao Ren, Sheng-Qiu Tang, Xiao-Ping Liao, Liang Chen, Jian Sun
{"title":"Targeting Plasmid Conjugation with Cinnamic Acid: A Novel Approach to Combat Antibiotic Resistance","authors":"Gong Li, Ang Gao, Xin-Yi Lu, Tian-Hong Zhou, Shi-Ying Zhou, Li-Jua n Xia, Lei Wan, Yu-Zhang He, Xin-Yi Chen, Wen-Ying Guo, Jia-Min Zheng, Hao Ren, Sheng-Qiu Tang, Xiao-Ping Liao, Liang Chen, Jian Sun","doi":"10.1016/j.eng.2025.06.040","DOIUrl":"https://doi.org/10.1016/j.eng.2025.06.040","url":null,"abstract":"The global spread of antibiotic resistance genes (ARGs) continues to worsen, with plasmid-mediated conjugation serving as a major transmission route. Although developing conjugation inhibitors to block this process is a promising strategy, current options are limited by toxicity and poor <em>in vivo</em> efficacy. This study evaluated the effect of cinnamic acid (CA; 3-phenyl-2-acrylic acid), a widely abundant food additive found in cinnamon, on plasmid conjugation. CA effectively inhibited the conjugation of various resistance plasmids <em>in vitro</em>, <em>ex vivo</em>, and <em>in vivo</em>. Transcriptomic analysis indicated that CA disrupts the electron transport chain (ETC) and proton motive force (PMF) by inhibiting the tricarboxylic acid (TCA) cycle, leading to reduced intracellular adenosine triphosphate (ATP)—a critical factor for plasmid conjugation. Biocompatibility assays showed that CA maintains high biosafety while preserving gut microbiota homeostasis. Therefore, these findings provide new insights into ARG inhibition and highlight the potential of CA as a novel strategy to combat the global rise in antibiotic-resistant infections.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"16 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144645502","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 : 2025-07-17DOI: 10.1016/j.eng.2025.07.017
Zhenshan Li, Yang Wang, Weicheng Li, Geng Wei, Xinglei Liu, Shanhu Lin, Jiaye Li, Dan Li, Qingsong Meng, Li Nie, Vincent Gouraud, Shuting Wei, Patrice Font, Nils Erland L. Haugen, Øyvind Langørgen, Yngve Larring, Zuoan Li, Ningsheng Cai
{"title":"Demonstration of a 5-MWth Chemical Looping Combustion Unit Fueled by Lignite","authors":"Zhenshan Li, Yang Wang, Weicheng Li, Geng Wei, Xinglei Liu, Shanhu Lin, Jiaye Li, Dan Li, Qingsong Meng, Li Nie, Vincent Gouraud, Shuting Wei, Patrice Font, Nils Erland L. Haugen, Øyvind Langørgen, Yngve Larring, Zuoan Li, Ningsheng Cai","doi":"10.1016/j.eng.2025.07.017","DOIUrl":"https://doi.org/10.1016/j.eng.2025.07.017","url":null,"abstract":"A 5-MW<sub>th</sub> chemical looping combustion (CLC) unit was designed, built, operated, and demonstrated in China as part of the Chinese–European Emission-Reducing Solutions (CHEERS) project, funded by China’s Ministry of Science and Technology (MOST) and the European Union (EU)’s Horizon 2020. In the configuration designed by the Chinese partners, the air reactor (AR) is a transport bed, while the fuel reactor (FR) is a bubbling/turbulent fluidized bed. The solid circulation between the FR and AR is regulated by the overflow method, and the oxygen carrier (OC) from the AR cyclone returns to the FR riser. From June to September 2024, the 5-MW<sub>th</sub> demonstration unit was operated and tested more or less continuously, with a thermal input ranging from 3.5 to 5.0 MW<sub>th</sub>. During the operation, all solid fuel was fed into the dense bed of the FR, while only air was introduced into the AR. No electric or other external heating was applied, meaning that the whole pilot unit was heated by the oxidation of the OC within the AR. Hence, auto-thermal CLC operation was successfully achieved. Heating the unit was completed in 48 h; furthermore, switching to CLC mode was straightforward and took less than 1 h. During the operation, the temperature of the entire loop was stable. The temperatures of the AR and FR were 1000–1040 °C and 940–980 °C, respectively. Based on the operational data, the maximum CO<sub>2</sub> capture efficiency of the lignite-fed CLC unit was greater than 97%, and the minimum oxygen demand for unburnt gases from the FR was 2.45%. This work bridges the gap between lab-scale research and industrial applications in the field of CLC.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"12 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144645501","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 : 2025-07-16DOI: 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}