Amel Ksibi^*, Hatoon Albadah, Ghadah Aldehim, Manel Ayadi

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.073533 - 29 January 2026

Abstract Sustainable energy systems will entail a change in the carbon intensity projections, which should be carried out in a proper manner to facilitate the smooth running of the grid and reduce greenhouse emissions. The present article outlines the TransCarbonNet, a novel hybrid deep learning framework with self-attention characteristics added to the bidirectional Long Short-Term Memory (Bi-LSTM) network to forecast the carbon intensity of the grid several days. The proposed temporal fusion model not only learns the local temporal interactions but also the long-term patterns of the carbon emission data; hence, it is able to give… More >

Leyu Zheng¹, Mingming Xiao^1,*, Yi Ren², Ke Li¹, Chang Sun¹

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072036 - 12 January 2026

Abstract In a wide range of engineering applications, complex constrained multi-objective optimization problems (CMOPs) present significant challenges, as the complexity of constraints often hampers algorithmic convergence and reduces population diversity. To address these challenges, we propose a novel algorithm named Constraint Intensity-Driven Evolutionary Multitasking (CIDEMT), which employs a two-stage, tri-task framework to dynamically integrates problem structure and knowledge transfer. In the first stage, three cooperative tasks are designed to explore the Constrained Pareto Front (CPF), the Unconstrained Pareto Front (UPF), and the ε-relaxed constraint boundary, respectively. A CPF-UPF relationship classifier is employed to construct a problem-type-aware… More >

Jie Jin¹, Tianci Wang¹, Yaning Wang¹, Jingqi Yao², Jinxiu Song^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3611-3632, 2025, DOI:10.32604/phyton.2025.070680 - 01 December 2025

Abstract In plant factory with artificial lighting, precise regulation of environmental and nutritional factors is essential to optimize both growth and quality of leafy vegetables. This study systematically evaluated the combined effects of light intensity (150, 200, 250 μmol/(m²·s)) and calcium supply in the nutrient solution (0.5, 1.0, 1.5 mmol/L) on lettuce morphology, photosynthesis, quality indices, and tipburn incidence. Elevating light from 150 to 200 μmol/(m²·s) significantly enhanced leaf number, area, photosynthetic rate, biomass, and foliar calcium. These gains plateaued at 250 μmol/(m²·s), where tipburn incidence surged to 76.5%. Photosynthetic pigments progressively rose with light intensity. Calcium supply… More >

Božo Damjanović^*, Pejo Konjatić, Marko Katinić

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1735-1753, 2025, DOI:10.32604/cmes.2025.072256 - 26 November 2025

Abstract Ensuring the structural integrity of piping systems is crucial in industrial operations to prevent catastrophic failures and minimize shutdown time. This study investigates a transportation-damaged pipe exposed to high-temperature conditions and cyclic loading, representing a realistic challenge in plant operation. The objective was to evaluate the service life and integrity assessment parameters of the damaged pipe, subjected to 22,000 operational cycles under two daily charge and discharge conditions. The flaw size in the damaged pipe was determined based on a failure assessment procedure, ensuring a conservative and reliable input. The damage was characterized as a… More >

Fengnan Guo^1,*, Yiming Li¹, Hua Zhang¹, Jianwei Cui²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-3, 2025, DOI:10.32604/icces.2025.011409

Abstract The stress intensity factor (SIF) is one of the most crucial parameters in fracture mechanics, as it can effectively characterize the state of the crack and determine its propagation behavior. The methods for evaluating the stress intensity factor mainly include the J-integral method, interaction integral method, and displacement extrapolation method [1,2]. However, the conventional J-integral and interaction integral methods involve derivative terms of material parameters, which cause a great difficulty in applying these methods to deal with non-homogeneous materials containing material interfaces. In order to overcome this difficulty, an improved interaction integral method has been… More >

Abdulnaser M. Alshoaibi^*, Yahya Ali Fageehi

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 189-214, 2025, DOI:10.32604/cmes.2025.071583 - 30 October 2025

Abstract Fatigue crack growth is a critical phenomenon in engineering structures, accounting for a significant percentage of structural failures across various industries. Accurate prediction of crack initiation, propagation paths, and fatigue life is essential for ensuring structural integrity and optimizing maintenance schedules. This paper presents a comprehensive finite element approach for simulating two-dimensional fatigue crack growth under linear elastic conditions with adaptive mesh generation. The source code for the program was developed in Fortran 95 and compiled with Visual Fortran. To achieve high-fidelity simulations, the methodology integrates several key features: it employs an automatic, adaptive meshing… More >

Zhi-Yun Zhang^1,*, Yaqiong Wu¹, Chenshi Deng², Peng Wang³, Weiguaju Nong^4,*

International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1533-1551, 2025, DOI:10.32604/ijmhp.2025.070883 - 31 October 2025

Abstract Objectives: Medical students often rely on recreational internet media to relieve the stress caused by immense academic and life pressures, and among these media, short-form videos, which are an emerging digital medium, have gradually become the mainstream choice of students to relieve their stress. However, the addiction caused by their usage has attracted the widespread attention of both academia and society, which is why the purpose of this study is to systematically explore the underlying mechanisms that link perceived stress, entertainment gratification, emotional gratification, short-form video usage intensity, and short-form video addiction based on multiple… More >

Ahmad S. Azzahrani^*

Energy Engineering, Vol.122, No.11, pp. 4703-4713, 2025, DOI:10.32604/ee.2025.067398 - 27 October 2025

Abstract The Light Detection and Ranging (LiDAR) data analysis method has emerged as a powerful and versatile tool for characterizing atmospheric conditions and modeling light propagation through various media. In the context of renewable energy, particularly wind energy, LiDAR is increasingly utilized to analyze wind flow, turbine wake effects, and turbulence in complex terrains. This study focuses on advancing LiDAR data interpretation through the development and application of the LiDAR Statistical Barnes Objective Analysis (LiSBOA) method. LiSBOA enhances the capacity of scanning LiDAR systems by enabling more precise optimization of scan configurations and improving the retrieval… More >

Farhat Abbas¹, Fahim Ullah Khan^1,2,*, Salem Al-Naemi³, Awni Al-Otoom¹, Ahmed T. Moustafa⁴, Khaled Shami¹

Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2911-2925, 2025, DOI:10.32604/phyton.2025.064239 - 30 September 2025

Abstract This study aimed to explore the relationship between Soil-Plant Analysis Development (SPAD) values and key environmental factors in cucumber (Cucumis sativus L.) cultivation in a greenhouse. SPAD values, indicative of chlorophyll content, reflect plant health and productivity. The analysis revealed strong positive correlations between SPAD values and both indoor light intensity (ILI, r = 0.59, p < 0.001) and outdoor light intensity (OLI, r = 0.62, p < 0.001), suggesting that higher light intensities were associated with enhanced SPAD values. In contrast, significant negative correlations were found between SPAD values and soil temperature at 15–30 cm depth… More >

Yufei Shi, Ziwen He^*, Teng Jin, Haochen Tong, Zhangjie Fu

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1831-1848, 2025, DOI:10.32604/cmes.2025.067658 - 31 August 2025

Abstract This article proposes an innovative adversarial attack method, AMA (Adaptive Multimodal Attack), which introduces an adaptive feedback mechanism by dynamically adjusting the perturbation strength. Specifically, AMA adjusts perturbation amplitude based on task complexity and optimizes the perturbation direction based on the gradient direction in real time to enhance attack efficiency. Experimental results demonstrate that AMA elevates attack success rates from approximately 78.95% to 89.56% on visual question answering and from 78.82% to 84.96% on visual reasoning tasks across representative vision-language benchmarks. These findings demonstrate AMA’s superior attack efficiency and reveal the vulnerability of current visual More >