Hao Chen¹, Tong Xu¹, Yutian Huang², Dabo Xin^1,*, Changting Zhong^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075792 - 29 January 2026

Abstract Optimization problems are prevalent in various fields of science and engineering, with several real-world applications characterized by high dimensionality and complex search landscapes. Starfish optimization algorithm (SFOA) is a recently optimizer inspired by swarm intelligence, which is effective for numerical optimization, but it may encounter premature and local convergence for complex optimization problems. To address these challenges, this paper proposes the multi-strategy enhanced crested porcupine-starfish optimization algorithm (MCPSFOA). The core innovation of MCPSFOA lies in employing a hybrid strategy to improve SFOA, which integrates the exploratory mechanisms of SFOA with the diverse search capacity of… More >

Van-Viet Nguyen¹, Huu-Khanh Nguyen², Kim-Son Nguyen¹, Thi Minh-Hue Luong¹, Duc-Quang Vu¹, Trung-Nghia Phung³, The-Vinh Nguyen^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.075442 - 29 January 2026

Abstract It remains difficult to automate the creation and validation of Unified Modeling Language (UML) diagrams due to unstructured requirements, limited automated pipelines, and the lack of reliable evaluation methods. This study introduces a cohesive architecture that amalgamates requirement development, UML synthesis, and multimodal validation. First, LLaMA-3.2-1B-Instruct was utilized to generate user-focused requirements. Then, DeepSeek-R1-Distill-Qwen-32B applies its reasoning skills to transform these requirements into PlantUML code. Using this dual-LLM pipeline, we constructed a synthetic dataset of 11,997 UML diagrams spanning six major diagram families. Rendering analysis showed that 89.5% of the generated diagrams compile correctly, while… More >

Shengkang Zhang¹, Yong Jin^2,*, Soon Poh Yap^1,*, Haoyun Fan¹, Shiyuan Li³, Ahmed El-Shafie⁴, Zainah Ibrahim¹, Amr El-Dieb⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.075351 - 29 January 2026

Abstract Concrete-filled steel tubes (CFST) are widely utilized in civil engineering due to their superior load-bearing capacity, ductility, and seismic resistance. However, existing design codes, such as AISC and Eurocode 4, tend to be excessively conservative as they fail to account for the composite action between the steel tube and the concrete core. To address this limitation, this study proposes a hybrid model that integrates XGBoost with the Pied Kingfisher Optimizer (PKO), a nature-inspired algorithm, to enhance the accuracy of shear strength prediction for CFST columns. Additionally, quantile regression is employed to construct prediction intervals for… More >

Maddina Dinesh Kumar^1,#, S. U. Mamatha², Khalid Masood³, Nehad Ali Shah^4,#, Se-Jin Yook^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074680 - 29 January 2026

Abstract Fluid dynamic research on rectangular and trapezoidal fins is aimed at increasing heat transfer by means of large surfaces. The trapezoidal cavity form is compared with its thermal and flow performance, and it is revealed that trapezoidal fins tend to be more efficient, particularly when material optimization is critical. Motivated by the increasing need for sustainable energy management, this work analyses the thermal performance of inclined trapezoidal and rectangular porous fins utilising a unique hybrid nanofluid. The effectiveness of nanoparticles in a working fluid is primarily determined by their thermophysical properties; hence, optimising these properties… More >

Marwa M. Eid^1,2,*, Amel Ali Alhussan³, Ebrahim A. Mattar⁴, Nima Khodadadi^5,*, El-Sayed M. El-Kenawy^6,7

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.073555 - 29 January 2026

Abstract Accurate prediction of concrete compressive strength is fundamental for optimizing mix designs, improving material utilization, and ensuring structural safety in modern construction. Traditional empirical methods often fail to capture the non-linear relationships among concrete constituents, especially with the growing use of supplementary cementitious materials and recycled aggregates. This study presents an integrated machine learning framework for concrete strength prediction, combining advanced regression models—namely CatBoost—with metaheuristic optimization algorithms, with a particular focus on the Somersaulting Spider Optimizer (SSO). A comprehensive dataset encompassing diverse mix proportions and material types was used to evaluate baseline machine learning models,… More >

Hussain H. Al-Kayiem^1,*, Safaa M. Ali², Sundus S. Al-Azawiey³, Raed A. Jessam³

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.073303 - 27 January 2026

Abstract Gas Turbines are among the most important energy systems for aviation and thermal-based power generation. The performance of gas turbine intakes with S-shaped diffusers is vulnerable to flow separation, reversal flow, and pressure distortion, mainly in aggressive S-shaped diffusers. Several methods, including vortex generators and energy promoters, have been proposed and investigated both experimentally and numerically. This paper compiles a review of experimental investigations that have been performed and reported to mitigate flow separation and restore system performance. The operational principles, classifications, design geometries, and performance parameters of S-shaped diffusers are presented to facilitate the… More > Graphic Abstract

Zujun Ding, Shuaichao Wu, Chenliang Ji, Xinyu Feng, Yuanyuan Shi, Baolian Liu, Wan Chen, Qiuchan Bai, Hengrui Zhou, Hui Huang, Jie Ji^*

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.068106 - 27 January 2026

Abstract In the quest to enhance energy efficiency and reduce environmental impact in the transportation sector, the recovery of waste heat from diesel engines has become a critical area of focus. This study provided an exhaustive thermodynamic analysis optimizing Organic Rankine Cycle (ORC) systems for waste heat recovery from diesel engines. The study assessed the performance of five candidate working fluids—R11, R123, R113, R245fa, and R141b—under a range of operating conditions, specifically varying overheat temperatures and evaporation pressures. The results indicated that the choice of working fluid substantially influences the system’s exergetic efficiency, net output power,… More >

Abla Guechi¹, Djohra Dekhil², Abdelhak Nouri^2,*

Chalcogenide Letters, Vol.23, No.1, 2026, DOI:10.32604/cl.2026.076586 - 26 January 2026

Abstract This work uses numerical modeling in SCAPS-1D to examine the efficiency analysis of a solar cell based on SnS. The power conversion efficiency (PCE) is limited to 24.5% because of incomplete photon absorption in the absorber layer (SnS) and carrier recombination. To increase the absorption window, facilitate charge mobility, and suppress bulk recombination at the rear contact, the absorbent film was divided up into three sublayers with graded band gaps of 1.1 eV, 1.2 eV, and 1.3 eV. Furthermore, the sublayers’ linear gradient doping improved charge collection while simultaneously lowering recombination at the interface. A… More >

Pingkan Aditiawati¹, Kamarisima¹, Rudi Dungani^1,*, Tirto Prakoso², Neil Priharto¹, Muhammad Iqbal Ar-Razy Suwardi¹, Muhammad Rizki Ramdhani¹, Maya Fitriyanti¹, Dzulianur Mutsla¹, Widya Fatriasari³

Journal of Renewable Materials, Vol.14, No.1, 2026, DOI:10.32604/jrm.2025.02025-0113 - 23 January 2026

Abstract This study aimed to produce and characterize mycelium leather (Mylea) derived from oil palm empty fruit bunch (OPEFB). Variations in OPEFB composition (10%, 20%, 30%, and 40%) were tested using a 10% w/w Ganoderma lucidum inoculum. The mycelium underwent boiling, plasticization, drying, pressing, waxing, and Tencel fabric reinforcement to form Mylea. The physical, mechanical, and flammability properties of OPEFB-based Mylea were evaluated as a potential animal leather substitute. The highest tensile strength (8.47 MPa) was observed in the 0% OPEFB sample due to reinforcement with the Tencel fabric layer. Meanwhile, the 20% OPEFB sample after drying More > Graphic Abstract

Hyung Seok Kim^1,#, Ju A Son^2,#, Minji Kang^3,4,#, Soon Sun Kim³, Geum Ok Baek³, Moon Gyeong Yoon³, Se Ha Jang^3,4, Dokyung Jung⁵, Ji Eun Han³, Jae Youn Cheong^3,*, Jung Woo Eun^3,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.070392 - 19 January 2026

Abstract Objectives: Early detection of hepatocellular carcinoma (HCC) is a significant challenge due to the limited sensitivity of alpha-fetoprotein (AFP). This study aimed to assess serum-derived extracellular vesicle-encapsulated GULP PTB domain-containing engulfment adaptor 1 (EV-GULP1) as a novel, noninvasive biomarker for HCC detection and prognosis, leveraging the potential of tumor-specific molecules carried by small extracellular vesicles (EVs). Methods: The study utilized both internal and external cohorts of HCC patients and controls. Small EVs were isolated from serum samples, then characterized and validated to confirm their identity. The expression levels of EV-GULP1 were quantified using quantitative reverse transcription… More >