Engineering最新文献

{"title":"Promising Results Predict Role for Artificial Intelligence in Weather Forecasting","authors":"Mitch Leslie","doi":"10.1016/j.eng.2024.07.003","DOIUrl":"10.1016/j.eng.2024.07.003","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 10-12"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924003916/pdfft?md5=4f48c46bfc5553e5c413642a973dd516&pid=1-s2.0-S2095809924003916-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141849548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repurposing Loperamide as an Anti-Infection Drug for the Treatment of Intracellular Bacterial Pathogens","authors":"","doi":"10.1016/j.eng.2024.01.011","DOIUrl":"10.1016/j.eng.2024.01.011","url":null,"abstract":"<div><p>Infections caused by intracellular bacterial pathogens are difficult to treat since most antibiotics have low cell permeability and undergo rapid degradation within cells. The rapid development and dissemination of antimicrobial–resistant strains have exacerbated this dilemma. With the increasing knowledge of host–pathogen interactions, especially bacterial strategies for survival and proliferation within host cells, host-directed therapy (HDT) has attracted increased interest and has emerged as a promising anti-infection method for treating intracellular infection. Herein, we applied a cell-based screening approach to a US Food and Drug Administration (FDA)-approved drug library to identify compounds that can inhibit the intracellular replication of <em>Salmonella</em> Typhimurium (<em>S.</em> Typhimurium). This screening allowed us to identify the antidiarrheal agent loperamide (LPD) as a potent inhibitor of <em>S.</em> Typhimurium intracellular proliferation. LPD treatment of infected cells markedly promoted the host autophagic response and lysosomal activity. A mechanistic study revealed that the increase in host autophagy and elimination of intracellular bacteria were dependent on the high expression of glycoprotein nonmetastatic melanoma protein B (GPNMB) induced by LPD. In addition, LPD treatment effectively protected against <em>S.</em> Typhimurium infection in <em>Galleria mellonella</em> and mouse models. Thus, our study suggested that LPD may be useful for the treatment of diseases caused by intracellular bacterial pathogens. Moreover, LPD may serve as a promising lead compound for the development of anti-infection drugs based on the HDT strategy.</p></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 180-193"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924000560/pdfft?md5=48c4a988b7dc1a14f7297b53c1717076&pid=1-s2.0-S2095809924000560-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139876826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative AI for Materials Discovery: Design Without Understanding","authors":"Jianjun Hu ,&nbsp;Qin Li ,&nbsp;Nihang Fu","doi":"10.1016/j.eng.2024.07.008","DOIUrl":"10.1016/j.eng.2024.07.008","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 13-17"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924003977/pdfft?md5=0fdf24fb9b2d54ffd13f62c3e30d792d&pid=1-s2.0-S2095809924003977-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unprecedented Collaboration Plots Largest, Most Detailed Maps of the Brain","authors":"Chris Palmer","doi":"10.1016/j.eng.2024.07.004","DOIUrl":"10.1016/j.eng.2024.07.004","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 7-9"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924003928/pdfft?md5=be589efd905b42e4ed52c698aa918ee3&pid=1-s2.0-S2095809924003928-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Improved Machine Learning Model for Pure Component Property Estimation","authors":"Xinyu Cao ,&nbsp;Ming Gong ,&nbsp;Anjan Tula ,&nbsp;Xi Chen ,&nbsp;Rafiqul Gani ,&nbsp;Venkat Venkatasubramanian","doi":"10.1016/j.eng.2023.08.024","DOIUrl":"10.1016/j.eng.2023.08.024","url":null,"abstract":"<div><p>Information on the physicochemical properties of chemical species is an important prerequisite when performing tasks such as process design and product design. However, the lack of extensive data and high experimental costs hinder the development of prediction techniques for these properties. Moreover, accuracy and predictive capabilities still limit the scope and applicability of most property estimation methods. This paper proposes a new Gaussian process-based modeling framework that aims to manage a discrete and high-dimensional input space related to molecular structure representation with the group-contribution approach. A warping function is used to map discrete input into a continuous domain in order to adjust the correlation between different compounds. Prior selection techniques, including prior elicitation and prior predictive checking, are also applied during the building procedure to provide the model with more information from previous research findings. The framework is assessed using datasets of varying sizes for 20 pure component properties. For 18 out of the 20 pure component properties, the new models are found to give improved accuracy and predictive power in comparison with other published models, with and without machine learning.</p></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 61-73"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924001590/pdfft?md5=1467de2f6cb3888be2501c5f8217cd9b&pid=1-s2.0-S2095809924001590-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141948978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Pollutant Formation and Control in Pressurized Oxy-Combustion: SOx, NOx, Particulate Matter, and Mercury","authors":"","doi":"10.1016/j.eng.2024.03.005","DOIUrl":"10.1016/j.eng.2024.03.005","url":null,"abstract":"<div><p>Oxy-combustion is a promising carbon-capture technology, but atmospheric-pressure oxy-combustion has a relatively low net efficiency, limiting its application in power plants. In pressurized oxy-combustion (POC), the boiler, air separation unit, flue gas recirculation unit, and CO₂ purification and compression unit are all operated at elevated pressure; this makes the process more efficient, with many advantages over atmospheric pressure, such as low NO<em>_x</em> emissions, a smaller boiler size, and more. POC is also more promising for industrial application and has attracted widespread research interest in recent years. It can produce high-pressure CO₂ with a purity of approximately 95%, which can be used directly for enhanced oil recovery or geo-sequestration. However, the pollutant emissions must meet the standards for carbon capture, storage, and utilization. Because of the high oxygen and moisture concentrations in POC, the formation of acids via the oxidation and solution of SO<em>_x</em> and NO<em>_x</em> can be increased, causing the corrosion of pipelines and equipment. Furthermore, particulate matter (PM) and mercury emissions can harm the environment and human health. The main distinction between pressurized and atmospheric-pressure oxy-combustion is the former’s elevated pressure; thus, the effect of this pressure on the pollutants emitted from POC—including SO<em>_x</em>, NO<em>_x</em>, PM, and mercury—must be understood, and effective control methodologies must be incorporated to control the formation of these pollutants. This paper reviews recent advances in research on SO<em>_x</em>, NO<em>_x</em>, PM, and mercury formation and control in POC systems that can aid in pollutant control in such systems.</p></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 127-153"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924001462/pdfft?md5=871940dc290f2f67d26d0a3b1ddbb10e&pid=1-s2.0-S2095809924001462-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140401392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI in Chemical Engineering: A New Chapter of Innovation","authors":"Qilong Ren","doi":"10.1016/j.eng.2024.07.006","DOIUrl":"10.1016/j.eng.2024.07.006","url":null,"abstract":"","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 1-2"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924003941/pdfft?md5=6021d4c6ed6be7e338d3df21bc4cbe5b&pid=1-s2.0-S2095809924003941-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Component Resource Recycling from Waste Light-Emitting Diode Under Hydrothermal Condition: Plastic Package Degradation, Speciation of Nano-TiO2, and Environmental Impact Assessment","authors":"","doi":"10.1016/j.eng.2023.04.008","DOIUrl":"10.1016/j.eng.2023.04.008","url":null,"abstract":"<div><p>Light emitting diodes (LEDs) have accounted for most of the lighting market as the technology matures and costs continue to reduce. As a new type of e-waste, LED is a double-edged sword, as it contains not only precious and rare metals but also organic packaging materials. In previous studies, LED recycling focused on recovering precious and strategic metals while ignoring harmful substances such as organic packaging materials. Unlike crushing and other traditional methods, hydrothermal treatment can provide an environment-friendly process for decomposing packaging materials. This work developed a closed reaction vessel, where the degradation rate of plastic polyphthalamide (PPA) was close to 100%, with nano-TiO₂ encapsulated in plastic PPA being efficiently recovered, while metals contained in LED were also recycled efficiently. Besides, the role of water in plastic PPA degradation that has been overlooked in current studies was explored and speculated in detail in this work. Environmental impact assessment revealed that the proposed recycling route for waste LED could significantly reduce the overall environmental impact compared to the currently published processes. Especially the developed method could reduce more than half the impact of global warming. Furthermore, this research provides a theoretical basis and a promising method for recycling other plastic-packaged e-waste devices, such as integrated circuits.</p></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 253-261"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809923001947/pdfft?md5=be17e85a06daba3a31c44952a852aab8&pid=1-s2.0-S2095809923001947-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73349653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Interpretable Light Attention–Convolution–Gate Recurrent Unit Architecture for the Highly Accurate Modeling of Actual Chemical Dynamic Processes","authors":"Yue Li ,&nbsp;Ning Li ,&nbsp;Jingzheng Ren ,&nbsp;Weifeng Shen","doi":"10.1016/j.eng.2024.07.009","DOIUrl":"10.1016/j.eng.2024.07.009","url":null,"abstract":"<div><p>To equip data-driven dynamic chemical process models with strong interpretability, we develop a light attention–convolution–gate recurrent unit (LACG) architecture with three sub-modules—a basic module, a brand-new light attention module, and a residue module—that are specially designed to learn the general dynamic behavior, transient disturbances, and other input factors of chemical processes, respectively. Combined with a hyperparameter optimization framework, Optuna, the effectiveness of the proposed LACG is tested by distributed control system data-driven modeling experiments on the discharge flowrate of an actual deethanization process. The LACG model provides significant advantages in prediction accuracy and model generalization compared with other models, including the feedforward neural network, convolution neural network, long short-term memory (LSTM), and attention-LSTM. Moreover, compared with the simulation results of a deethanization model built using Aspen Plus Dynamics V12.1, the LACG parameters are demonstrated to be interpretable, and more details on the variable interactions can be observed from the model parameters in comparison with the traditional interpretable model attention-LSTM. This contribution enriches interpretable machine learning knowledge and provides a reliable method with high accuracy for actual chemical process modeling, paving a route to intelligent manufacturing.</p></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 104-116"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924003989/pdfft?md5=8a3c739a3b730516d835f58e0c61ebce&pid=1-s2.0-S2095809924003989-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stabilizing High-Nickel Cathodes via Interfacial Hydrogen Bonding Effects Using a Hydrofluoric Acid-Scavenging Separator","authors":"","doi":"10.1016/j.eng.2023.09.025","DOIUrl":"10.1016/j.eng.2023.09.025","url":null,"abstract":"<div><p>Nickel-rich layered Li transition metal oxides are the most promising cathode materials for high-energy-density Li-ion batteries. However, they exhibit rapid capacity degradation induced by transition metal dissolution and structural reconstruction, which are associated with hydrofluoric acid (HF) generation from lithium hexafluorophosphate decomposition. The potential for thermal runaway during the working process poses another challenge. Separators are promising components to alleviate the aforementioned obstacles. Herein, an ultrathin double-layered separator with a 10 μm polyimide (PI) basement and a 2 μm polyvinylidene difluoride (PVDF) coating layer is designed and fabricated by combining a non-solvent induced phase inversion process and coating method. The PI skeleton provides good stability against potential thermal shrinkage, and the strong PI–PVDF bonding endows the composite separator with robust structural integrity; these characteristics jointly contribute to the extraordinary mechanical tolerance of the separator at elevated temperatures. Additionally, unique HF-scavenging effects are achieved with the formation of –CO···H–F hydrogen bonds for the abundant HF coordination sites provided by the imide ring; hence, the layered Ni-rich cathodes are protected from HF attack, which ultimately reduces transition metal dissolution and facilitates long-term cyclability of the Ni-rich cathodes. Li||NCM811 batteries (where “NCM” indicates LiNi<em>_x</em>Co<em>_y</em>Mn₁₋<em>_x</em>₋<em>_y</em>O₂) with the proposed composite separator exhibit a 90.6% capacity retention after 400 cycles at room temperature and remain sustainable at 60 °C with a 91.4% capacity retention after 200 cycles. By adopting a new perspective on separators, this study presents a feasible and promising strategy for suppressing capacity degradation and enabling the safe operation of Ni-rich cathode materials.</p></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"39 ","pages":"Pages 117-126"},"PeriodicalIF":10.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095809924001528/pdfft?md5=985eae51e0a647136423dc185a9f4024&pid=1-s2.0-S2095809924001528-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140776779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}