Topology Optimization of Automotive Vibration Test Jig: Natural Frequency Maximization and Weight Reduction by Jun Won Choi, Min Gyu Kim, Jung Jin Kim, Jisun Kim

“…Vibration test jigs are essential components for evaluating the dynamic performance and durability of automotive parts, such as lamps. This study aimed to derive optimal jig configurations that simultaneously maximize natural frequency and minimize structural weight through topology optimization. …”
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Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management by Xuanyu Xiao, Chen Shu, Huaiwei Dong, Yujun Tang, Jinfeng Feng, Hao Yuan, Shuzhan Bai, Sipeng Zhu, Guoxiang Li

“…Fuel economy and system durability are critical yet interdependent performance metrics for fuel cell hybrid vehicles (FCHVs). …”
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Upcycling waste glass bottles as a binder within engineered cementitious composites (ECCs): Experimental investigation and environmental impact assessment by Avik Kumar Das, Jiacheng Xiao

“…Through, systematic investigation of their mechanical performance, durability, early age properties and shrinkage for different levels of GP replacement a sustainable ECC mix (GP-ECC) was developed. …”
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A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles by Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, Aníbal Zaldívar-Colado, Alan Ramírez-Noriega

“…This review lays out a thorough framework for future exploration and development in the optimization of EV batteries.…”
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Environmental Effects in Life Cycle Assessment of Machine-Vision-Driven Spall Repair Material Estimation for Sustainable Road Maintenance by Junhwi Cho, Shanelle Aira Rodrigazo, Hwang-Hee Kim, Su-Jin Lee, Chan Gi Park, Jaeheum Yeon

“…Environmental impact assessments were conducted using life cycle assessment across three frameworks, TRACI, ReCiPe, and ILCD, to compare this method with conventional practices. …”
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Emerging trends in sustainable building materials: Technological innovations, enhanced performance, and future directions by Ali Akbar Firoozi, Ali Asghar Firoozi, D.O. Oyejobi, Siva Avudaiappan, Erick Saavedra Flores

“…These materials are critically evaluated using standards such as ASTM for mechanical properties and ISO for environmental impacts, affirming their practical viability and durability. However, the adoption of these materials faces obstacles like high initial costs, technical integration challenges, and stringent regulatory frameworks. …”
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Green Hydrogen: Pathway to Net Zero Green House Gas Emission and Global Climate Change Mitigation by Ife Elegbeleye, Olusegun Oguntona, Femi Elegbeleye

“…By analyzing recent technological developments and policy frameworks, this review contributes a thorough evaluation of green hydrogen’s viability to achieve net-zero emissions. …”
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Modeling and performance analysis of a pneumatic steering system to enhance maneuverability in T-55 Armored Vehicles by Lemma Nigussie, Kumlachew Yeneneh

“…Structural analysis via finite element methods (FEA) confirmed the mechanism’s durability, with the rocker arm exhibiting a maximum von Mises stress of 46 MPa, well below the material’s yield strength of 200 MPa. …”
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A multifaceted comparative analysis of incremental dynamic and static pushover methods in bridge structural assessment, integrated with artificial neural network and genetic algori... by Ashwini Satyanarayana, V. Sindura, L. Geetha, Rakesh Kumar, Mohd Asif Shah, Mary Subaja Christo

“…Both methods provide frameworks for evaluating structural deformation capacity and strength, emphasizing the critical importance of safety and resilience during seismic events. …”
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Transition metal coordination polymer-derived materials for supercapacitor applications: recent advances and future perspectives by Saifullahi Kabiru Sa’adu, Cheng Seong Khe, Muhammad Fadhlullah Abd. Shukur, Kwok Feng Chong, Chin Wei Lai, Kok Yeow You, Nik Roselina Nik Roseley, Eslam Aboelazm

“…It also provides a perspective on the future of TMCPs in energy storage by fusing theoretical insights with experimental evidence. Theoretical frameworks like density functional theory and emerging machine learning models are other methods employed to better understand redox behaviour and drive material design. …”
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Digital Twin Road: value and implications involving data and application by Pamela Haverkamp, Atul Anantheswar, Marcel May, Gabriele Wadlig, Juliana Hildebrandt, Kira Amelie Thiessat, Ines Wollny, Marzia Traverso, Sabine Müller-Mall, Michael Kaliske, Dirk Habich, Wolfgang Lehner

“…Key issues include the integration of diverse data sources, ensuring data accuracy and reliability, and addressing data protection and security concerns, requiring robust legal and regulatory frameworks to manage and protect personal data.…”
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Antenna systems for IoT applications: a review by Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, Afsha Bibi, Wasim Ahmad, Muhammad Amir Khan, Mamoon M. Saeed, Habib Hamam

“…The paper explores how standards and regulatory frameworks affect IoT antenna system development to ensure future designs meet a fast-growing market. …”
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Thermal Performance of Bio-Based Materials for Sustainable Building Insulation: A Numerical Study by Labouda Ba, Abdelkrim Trabelsi, Tien Tung Ngo, Prosper Pliya, Ikram El Abbassi, Cheikh Sidi Ethmane Kane

“…This study underscores the need for industrial-scale optimization, supportive regulatory frameworks, and real-world implementation to promote broader adoption. …”
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Emerging carbon capture applications of aerogels in the oil and gas sector: A review of current trends and future prospects by Abeer․ A Alarawi, Rima T․ Alfaraj, Tawfik․ A Saleh, Almohannad A․ Alghamdi

“…Additionally, we thoroughly analyze CO₂ capture performance using various adsorbents, including amines, metal-organic frameworks, carbon, zeolites, and aerogel-based options. …”
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Experimental Studies of Adsorption Desalination Systems: Current Research, Development and Future Prospects by Amirhossein Amirfakhraei, Maryam Ghorbanzadeh, Mohsen Salimi, Majid Amidpour, Taleb Zarei

“…However, challenges such as lower overall efficiency, adsorbent durability, and scalability limitations impede widespread industrial adoption. …”
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Fermented Dairy Products as Precision Modulators of Gut Microbiota and Host Health: Mechanistic Insights, Clinical Evidence, and Future Directions by Yuan Gao, Yanyan Liu, Tingting Ma, Qimeng Liang, Junqi Sun, Xiaomeng Wu, Yinglong Song, Hui Nie, Jun Huang, Guangqing Mu

“…Despite promising short-term outcomes, current studies are limited by heterogeneous designs and brief intervention periods, underscoring the need for long-term, adaptive trials and integrative multi-omics to establish durability and causality. Looking forward, precision nutrition frameworks that harness baseline microbiota profiling, host genetics, and data-driven fermentation design will enable bespoke fermented dairy formulations, transforming these traditional foods into next-generation functional matrices for targeted prevention and management of metabolic, inflammatory, and neuroimmune disorders.…”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…Abstract Chloride-induced corrosion is a major threat to the durability of reinforced concrete (RC) structures. This is especially critical in marine tidal zones, where surface chloride concentration (Cs) plays a key role in predicting chloride ingress using Fick’s second law. …”
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Research on Concrete Crack Damage Assessment Method Based on Pseudo-Label Semi-Supervised Learning by Ming Xie, Zhangdong Wang, Li’e Yin

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Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow by Elhoucine Elfatimi, Yassir Lekbach, Swayam Prakash, Lbachir BenMohamed, Lbachir BenMohamed, Lbachir BenMohamed, Lbachir BenMohamed

“…Today, artificial intelligence (AI) and deep learning (DL) are actively transforming vaccine and immunotherapeutic research by (i) offering predictive frameworks that support rapid, data-driven decision-making, (ii) integrating computational models, systems vaccinology, and multi-omics data (iii) helping to better phenotype, differentiate, and classify patients diseases and cancers; (iv), integrating host characteristics for tailored vaccines and immunotherapeutics; (v) refining the selection of B-and T-cell antigen/epitope targets to enhance efficacy and durability of immune protection; and (vi) enabling a deeper understanding of immune regulation, immune evasion, and regulatory pathways. …”
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Electrochemical, quantum chemical, and thermodynamic investigation of a Schiff base corrosion inhibitor for XC70 steel by Abdelbasset Recherache, Fatiha Benghanem, Linda Toukal, Nourelhouda Bounedjar, Malika Foudia, Buzuayehu Abebe, Mir Waqas Alam

“…By combining experimental findings with theoretical frameworks such as Density Functional Theory and Molecular Dynamics Simulation, the study provides a thorough understanding of the inhibitor’s mechanism of action. …”
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