Results in Engineering最新文献

{"title":"Emerging roles of mesoporous silica nanoparticles in personalized medicine: revolutionizing therapy and diagnosis — a comprehensive review","authors":"Adel Mahmoudi Gharehbaba ,&nbsp;Fatemeh Soltanmohammadi ,&nbsp;Morteza Eskandani ,&nbsp;Khosro Adibkia","doi":"10.1016/j.rineng.2026.110396","DOIUrl":"10.1016/j.rineng.2026.110396","url":null,"abstract":"<div><div>Personalized medicine represents a novel strategy in modern healthcare, emphasizing the customization of treatments to align with the unique genetic, molecular, and clinical profiles of individual patients. This review explores the intersection of personalized medicine and nanotechnology, with a particular focus on mesoporous silica nanoparticles (MSNs) as versatile platforms for precision applications. Owing to their high surface area, tunable pore architecture, and flexible surface functionalization, MSNs offer distinct advantages over conventional nanocarriers, enabling high drug-loading capacity, controlled release, and multifunctional integration. Recent advances highlight the use of MSNs in personalized cancer therapy, including targeted drug delivery, gene and gene-silencing co-delivery, and combination treatment strategies, as well as in diagnostics, biosensing, imaging, and theranostic systems. The integration of MSNs with molecular targeting ligands and imaging modalities further enables real-time monitoring of therapeutic responses and adaptive treatment optimization. In addition to summarizing emerging and transformative MSN-based applications, this review also discusses key challenges for clinical translation, including biosafety, scalable manufacturing, and regulatory considerations. Overall, MSNs are presented as a promising and evolving nanoplatform with the potential to revolutionize personalized diagnosis and therapy.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"30 ","pages":"Article 110396"},"PeriodicalIF":7.9,"publicationDate":"2026-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147657714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Barriers to Solutions: Addressing the Meso-Level Implementation Gap in Industrial Symbiosis How Can Industrial Symbiosis Move Beyond Barriers to Successful Implementation?","authors":"Lars Jakobs ,&nbsp;Marwa Ben Ali ,&nbsp;Erwin Rauch ,&nbsp;Dominik T. Matt","doi":"10.1016/j.rineng.2026.110215","DOIUrl":"10.1016/j.rineng.2026.110215","url":null,"abstract":"<div><div>This study addresses the persistent implementation gap in Industrial Symbiosis (IS), a key operational strategy within the Circular Economy (CE) that reduces carbon dioxide emissions (CO₂) and resource consumption through cross-company resource exchanges. Despite its conceptual maturity and demonstrated economic and ecological benefits, the practical adoption of IS remains limited. Employing a Systematic Reviews and Meta-Analyses (PRISMA) framework, the present research identifies and analyses barriers hindering IS implementation at the meso-level based on a three-level framework. The study also systematically reviews solution-oriented studies in the scientific discourse and assesses their contribution to overcoming the identified barriers, while outlining what is required to address the remaining gaps. The findings show that IS implementation is hindered by systemic constraints such as coordination failures, information and knowledge deficits and policy-related burdens, which are only partly addressed by the solution types proposed in the literature. The study therefore highlights the need for structured, engineering-oriented guidance that combines existing tools into a coherent implementation pathway to support successful IS adoption in practice.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"30 ","pages":"Article 110215"},"PeriodicalIF":7.9,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147657699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fine-grained segmentation of high-resolution crack images based on transformer and rendering techniques","authors":"Honghu Chu ,&nbsp;Weiwei Chen ,&nbsp;Lu Deng","doi":"10.1016/j.rineng.2025.108492","DOIUrl":"10.1016/j.rineng.2025.108492","url":null,"abstract":"<div><div>High-resolution (HR) imaging is crucial for structural defect detection, yet conventional deep learning models struggle to balance edge segmentation precision with computational efficiency in HR crack image analysis. To address these challenges, a HR Crack Image Rendering Segmentation Network (HRCRSN) is proposed. Three customized improvements were made, enabling the HRCRSN to exploit the advantages of edge-aware rendering technique from the field of computer graphics in the precise segmentation of HR crack images. First, a Transformer-based crack localization module with adaptive multi-scale feature fusion (MSFAWFS) enhances pixel-level guidance while preserving micro-crack details. Second, dynamic point sampling prioritizes ambiguous boundaries and sub-millimeter defects via asymmetric density allocation during training/inference. Third, a synthetic augmentation framework recombines crack objects to address data scarcity. Experiments on UAV-acquired datasets achieve state-of-the-art performance (IoU: 85.36 %, mBA: 92.07 %, DICE: 91.78 %). This approach improves inspection efficiency and establishes a new framework for UAV-based civil infrastructure monitoring.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108492"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Renewable Hydrogen storage pathways for decentralized energy systems in remote Indian communities: A review of technologies, optimization strategies, and policy perspectives","authors":"Beemkumar Nagappan ,&nbsp;K Narsimha Reddy ,&nbsp;Parin Patel ,&nbsp;Santhosh MB ,&nbsp;Santosh Singh ,&nbsp;Sanghamitra Pradhan ,&nbsp;Ritesh Pratap Singh ,&nbsp;Kamakshi Priya K","doi":"10.1016/j.rineng.2025.108525","DOIUrl":"10.1016/j.rineng.2025.108525","url":null,"abstract":"<div><div>Remote communities in India predominantly depend on diesel and conventional biomass, resulting in high costs and significant emissions. Batteries are effective only for short-duration applications, while pumped-hydro storage faces geographical constraints, making hydrogen a promising alternative for seasonal and transportable energy storage. With a specific energy of 33.6 kWh kg⁻¹, hydrogen is particularly suited to decentralized microgrid configurations. This review integrates diverse hydrogen storage technologies, compressed, liquid, and solid-state, with renewable production pathways such as solar and wind electrolysis and biomass gasification, specifically targeting rural Indian contexts. A systematic search, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols and using predefined Boolean operators, yielded 120 relevant studies. This work critically examines optimization strategies, including linear and mixed-integer linear programming, stochastic and dynamic models, and multi-objective evolutionary algorithms, combined with recent advances in artificial intelligence (AI) and machine learning (ML) for improved forecasting and operational control. Comparative case studies highlight transitions such as photovoltaic-to-hydrogen in Ladakh, wind-to-hydrogen in Gujarat, and biomass-to-hydrogen combined heat and power in Northeast India, revealing performance metrics and implementation bottlenecks. Key barriers include high capital costs, energy losses during compression and liquefaction, and limited policy support in rural areas. Opportunities exist in modular energy hubs, indigenous manufacturing, and targeted incentives. A synthesized conceptual framework is proposed to align techno-economic, environmental, and social dimensions, identifying strategic priorities to accelerate hydrogen adoption and support India’s net-zero emissions target by 2070.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108525"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy conversion characteristics of gas-liquid two-phase flow inside a drainage self-priming pump under different rotational speeds during self-priming","authors":"Yu-Liang Zhang ,&nbsp;Ze-Zhou Yang ,&nbsp;Shao-Han Zheng ,&nbsp;Yan-Juan Zhao","doi":"10.1016/j.rineng.2025.108503","DOIUrl":"10.1016/j.rineng.2025.108503","url":null,"abstract":"<div><div>A self-priming pump is a type of centrifugal pump that can automatically draw and transport water without the need to fill the pump and suction pipeline with water prior to startup. As a result, it is widely used in applications such as agricultural irrigation and municipal flood drainage. The self-priming performance is one of the core indicators for evaluating the quality of a self-priming pump. In addition to the internal geometric structure of the pump, external operating conditions, such as variations in rotational speed, also significantly influence the self-priming performance. Therefore, understanding the specific impact of rotational speed changes on self-priming performance is essential. In this study, using computational fluid dynamics (CFD) methods, three constant rotational speed schemes were designed to numerically simulate the self-priming process in a recirculating pipeline system that includes a self-priming pump. The influence of constant rotational speed on the self-priming performance was thoroughly investigated, highlighting the hydraulic performance, self-priming performance, and internal flow characteristics under different rotational speeds. The results show that the self-priming time is significantly affected by rotational speed and is inversely proportional to it, with a maximum reduction of up to 36.69 %. At rated and high rotational speeds, the speed mainly affects the duration of the accelerated exhaust stage, which can be shortened by up to 37.5 %. At low rotational speeds, the duration of the oscillatory exhaust stage is significantly extended, approximately twice as long as that at medium and high rotational speeds.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108503"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Open-Source graphical tool for class E PA design exploration and optimization","authors":"Pallab Kr Gogoi ,&nbsp;Ştefan Ştefănescu ,&nbsp;Jurgen Vanhamel ,&nbsp;Jérôme Loicq","doi":"10.1016/j.rineng.2025.108472","DOIUrl":"10.1016/j.rineng.2025.108472","url":null,"abstract":"<div><div>This paper presents a novel platform for the efficient analysis, design, and optimization of ideal single-ended Class-E power amplifiers (PAs). It employs a comprehensive time-domain analytical model, which extends the conventional design space by incorporating variable duty cycles, variable voltage switching (VVS), and variable derivative voltage switching (VDS), enabling precise evaluation of key performance parameters such as harmonic efficiency, maximum output power capability, maximum operating frequency, and device stress. To facilitate practical design verification, an open-source, GUI-based CAD tool has been developed, providing researchers with an accessible and interactive environment for analysis and validation. In addition, a Python-based global optimization algorithm is integrated into the framework to automate component selection and enhance design robustness, particularly in scenarios involving finite DC-feed inductance. The accuracy and applicability of the proposed methodology are validated through nonlinear harmonic balance (HB) simulations. The results confirm the model’s ability to predict system behavior with high fidelity, making it a valuable resource for both academic and industrial design applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108472"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing and characterizing Dracaena draco fiber-reinforced bio-epoxy composites for sustainable structural applications","authors":"Abdelwaheb Hadou ,&nbsp;Ahmed Belaadi ,&nbsp;Messaouda Boumaaza ,&nbsp;Boon Xian Chai ,&nbsp;Ibrahim M.H. Alshaikh ,&nbsp;Djamel Ghernaout","doi":"10.1016/j.rineng.2025.108444","DOIUrl":"10.1016/j.rineng.2025.108444","url":null,"abstract":"<div><div>In view of the increasing need for lightweight and sustainable materials, this study investigates the potential of <em>Dracaena draco</em> fibers (<em>Dd</em>Fs), a plentiful agricultural waste, for use in a bio-epoxy (BE) matrix. This environmentally conscious method aims to enhance interfacial characteristics while reducing its negative impact on the environment. This work investigates the development of BE<em>Dd</em>f composites and evaluates their suitability for sustainable structural applications. <em>Dd</em>Fs were extracted from plant leaves through a controlled retting process and incorporated into a BE matrix at 10 %, 20 %, and 30 % weight fractions. The composites were characterized using tensile and flexural tests, dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA)- differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction, scanning electron microscopy, and water absorption (WA) tests. The results show that adding 30 % <em>Dd</em>F increased the tensile strength from 43.49 MPa (neat BE) to 98.50 MPa, a 126 % improvement, and raised Young’s modulus from 1.72 GPa to 2.23 GPa, a 30 % increase. Flexural strength improved by 38 % compared to neat BE, while DMA showed up to a 200 % increase in storage modulus. Thermal stability improved with fiber loadings up to 20 %, and FTIR confirmed strong chemical compatibility between the fiber and the matrix. WA increased with fiber content, reaching 55.12 % at a 30 % reinforcement level, reflecting the hydrophilic nature of <em>Dd</em>Fs. These findings confirm that <em>Dd</em>Fs are a promising reinforcement for BE, offering competitive performance compared to other natural fiber composites. Potential applications include lightweight panels in the automotive sector, cladding and insulation in construction, as well as interior structural components in the aerospace industry. By utilizing an underexplored plant fiber, this study contributes to expanding the portfolio of sustainable materials for structural engineering.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108444"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive extraction of valuable metals from lepidolite by mechanical activation and low temperature sulfation roasting","authors":"Wulin Chen ,&nbsp;Boyi Xie ,&nbsp;Qing Chen ,&nbsp;Bohan Wei ,&nbsp;Ruixiang Wang","doi":"10.1016/j.rineng.2025.108487","DOIUrl":"10.1016/j.rineng.2025.108487","url":null,"abstract":"<div><div>Lepidolite is a valuable mineral resource of lithium, rubidium and cesium. In this paper, A systematic investigation has been conducted on the integrated process of mechanical activation, sulfation roasting, and water leaching for the extraction of valuable metals from lepidolite concentrate. After mechanical activation, the lepidolite concentrate is mixed with sulfuric acid and roasted at low temperature, and then leached with water. The optimum process conditions were determined as follows: sulfuric acid concentration 80 %, acid-to-ore ratio 1:1, roasting temperature 300 °C, roasting time 5 h, water leaching temperature 80 °C, liquid-to-solid ratio 3:1, and water leaching time 2.5 h. Under the optimal conditions, the extraction rates of Li, Rb, Cs, Al and K reached 92.16 %, 89.96 %, 93.44 %, 94.52 %, and 91.22 %, respectively. During the process of sulfation roasting, the alkali metal elements in the lepidolite were transformed into water soluble sulfate. After water leaching, only stable SiO₂ remains in the slag phase, which is beneficial to the subsequent treatment and utilization of the slag phase. The kinetic studies revealed that the leaching process is dominated by the unreacted shrinking core model with a mixed control mechanism. This work presents a viable approach for the comprehensive recovery of valuable metals from lepidolite concentrate.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108487"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mining of expert rules for blast furnace air volume regulation","authors":"Yuanjin Mu ,&nbsp;Bingji Yan ,&nbsp;Huabin He ,&nbsp;Hongwei Guo ,&nbsp;Helan Liang","doi":"10.1016/j.rineng.2025.108473","DOIUrl":"10.1016/j.rineng.2025.108473","url":null,"abstract":"<div><div>Air volume regulation is a crucial means for adjusting the blast furnace burden condition, which directly influences the reaction process inside the furnace and is closely related to the quality of hot metal and production efficiency. However, due to the complex characteristics of the blast furnace smelting process, such as large time delay, strong coupling, and nonlinearity, achieving precise regulation of the air volume poses significant challenges. In this paper, based on theoretical knowledge and process logic, we screen the monitoring parameters that affect air volume regulation. These parameters include charge velocity, static pressure, full differential pressure, utilization rate of coal gas, permeability, and furnace temperature. By comparing various encoding methods, an effective discretization encoding of continuous monitoring data is realized through a combination of normal distribution division and empirical correction. The FP-Growth algorithm is applied to mine the correlation between air volume regulation and monitoring parameters, enabling the development of intelligent expert rules for increasing or decreasing blast furnace air volume and thereby rationally optimizing blast furnace air volume regulation. These rules have been put into application in a 1750 m³ blast furnace in actual production. The application results demonstrate that this system can accurately generate regulation strategies, and the analysis of the rule triggering frequency further validates its effectiveness. This research provides a solid basis for optimizing regulation strategies, significantly enhancing the intelligent level and regulation accuracy of blast furnace smelting, and thus playing a crucial role in promoting the intelligent transformation of modern blast furnace ironmaking.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108473"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced strategies for the detection, Removal, and degradation of microplastics: Bridging science and sustainable technologies","authors":"Kelvin A. Sanoja-López,&nbsp;Cesar Suarez,&nbsp;Oscar Navia-Pesantes,&nbsp;Kevin Alberto Quiroz-Suárez,&nbsp;Rafael Luque","doi":"10.1016/j.rineng.2026.109743","DOIUrl":"10.1016/j.rineng.2026.109743","url":null,"abstract":"<div><div>Microplastic (MPs) pollution poses an escalating threat to ecosystems and human health due to its persistence, bioaccumulative nature, and ability to transport toxic contaminants. This article presents a critical and systematic review of advanced strategies for the detection, removal, and degradation of MPs in complex environmental matrices. High-resolution analytical techniques including μ-FTIR, μ-Raman, Pyr-GC/MS, and electron microscopy are evaluated in terms of their capabilities, limitations, and complementarity. Conventional physical and physicochemical treatments such as membrane filtration, coagulation-flocculation, and adsorption in porous media are discussed alongside emerging technologies, including visible-light photocatalysis, electrochemical oxidation, functionalized nanomaterials, continuous-flow systems, and modular integrated processes. The review also explores biotechnological approaches such as plastic-degrading enzymes, engineered microbial consortia, and phytoremediation, as well as thermal conversion methods like catalytic pyrolysis and gasification for energy recovery. Distinctively, this work integrates Life Cycle Assessment (LCA) and Techno Economic Analysis (TEA) with biotechnology and engineering perspectives, offering a holistic framework rarely addressed in previous reviews. By incorporating LCA and TEA, the review assesses both scalability and sustainability, proposing a multidisciplinary, adaptive framework for effective and long term microplastic management.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109743"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}