Xiaohu Song¹, Zhiliang Zhu^2,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.068930 - 10 November 2025

Abstract Vulnerabilities are a known problem in modern Open Source Software (OSS). Most developers often rely on third-party libraries to accelerate feature implementation. However, these libraries may contain vulnerabilities that attackers can exploit to propagate malicious code, posing security risks to dependent projects. Existing research addresses these challenges through Software Composition Analysis (SCA) for vulnerability detection and remediation. Nevertheless, current solutions may introduce additional issues, such as incompatibilities, dependency conflicts, and additional vulnerabilities. To address this, we propose Vulnerability Scan and Protection (), a robust solution for detection and remediation vulnerabilities in Java projects. Specifically, builds… More >

Yousra Hammouti^1,2,*, François Mesnard², Oussama Khibech³, Mohamed Taibi¹, Yousra Belbachir³, El Hassania Loukili⁴, Reda Bellaouchi⁵, Abdeslam Asehraou⁵, Mohamed Addi^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3563-3583, 2025, DOI:10.32604/phyton.2025.071139 - 01 December 2025

Abstract Centaurium erythraea Rafn (“Gosset El Haya”) has long been prized in North African folk medicine, yet Moroccan chemobiological data remain scarce. Ethanol extracts of northern Moroccan aerial parts were profiled by high-performance liquid chromatography (HPLC) and found rich in phenolics, dominated by 4-hydroxybenzoic acid (57.8%) and naringin (10.3%). The extract exhibited strong antioxidant power in the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical-scavenging assay, with a half-maximal inhibitory concentration (IC₅₀) of ≈74 µg mL⁻¹, and a total antioxidant capacity (TAC) of ≈201 µg mL⁻¹ and selective antimicrobial activity, sharply inhibiting Aspergillus niger, Penicillium digitatum, and Rhodotorula glutinis while sparing Staphylococcus aureus. In-silico absorption, distribution, metabolism,… More >

Raquel Hidalgo-Sanz, María-Ángeles Del-Castillo-Alonso, Laura Monforte, Rafael Tomás-Las-Heras, Encarnación Núñez-Olivera, Javier Martínez-Abaigar^*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3453-3470, 2025, DOI:10.32604/phyton.2025.070087 - 01 December 2025

Abstract Grapevine (Vitis vinifera L.) is one of the main crops worldwide, and ultraviolet-B (UV-B, 280–315 nm) radiation is emerging as a promising technical tool to enhance secondary metabolites that can contribute to the quality and health-promoting properties of both grapes and the resulting wines. However, few studies have assessed the effectiveness of UV-B supplements under field conditions. Here, we compared the effects of two different field UV-B treatments (a single supplement applied at pre-harvest, and a double supplement applied at both veraison and pre-harvest) on the phenolic composition of Tempranillo grape skins and the resulting wines.… More >

Xiong Liu¹, Yueqi Cui^1,*, Yirui Ren¹, Lingxuan Peng², Yuchan Cheng¹, Zhiyuan Du¹, Yu Chen¹, Lishan Cao³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2815-2828, 2025, DOI:10.32604/fdmp.2025.073775 - 01 December 2025

Abstract This study explores the impact of salinity on fluid replacement during imbibition-driven oil recovery through a series of core self-imbibition experiments. By integrating key parameters such as interfacial tension, contact angle, and oil displacement efficiency, we systematically examine how variations in salinity level, ion type, and ion concentration affect the imbibition process. The results demonstrate that the salinity of the injected fluid exerts a strong influence on the rate and extent of oil recovery. Compared with high-salinity conditions, low-salinity injection, particularly below 5000 mg·L⁻¹, induces pronounced fluctuations in the replacement rate, achieving the highest recovery at More >

Hao Yue¹, Di Gao², Jin Gao¹, Chengmei Wei¹, Jiali Duan³, Shaocheng Mei^3,*

Energy Engineering, Vol.122, No.12, pp. 5091-5109, 2025, DOI:10.32604/ee.2025.069140 - 27 November 2025

Abstract Against the backdrop of regional coordinated development and China’s “dual carbon” strategic objectives, the Beijing-Tianjin-Hebei (BTH) region faces an urgent need to transition from its traditional economic growth model, which is heavily reliant on resource consumption. This study investigates the decoupling dynamics among economic growth, energy consumption, and carbon emissions in the BTH region, along with the underlying driving forces, aiming to provide valuable insights for achieving the “dual carbon” targets and fostering high-quality regional development. First, the Tapio decoupling model is employed to analyze the decoupling relationships between economic growth, energy consumption, and carbon… More >

Kangjie Li, Wenjing Ye^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1665-1688, 2025, DOI:10.32604/cmes.2025.072447 - 26 November 2025

Abstract Recent progress in topology optimization (TO) has seen a growing integration of machine learning to accelerate computation. Among these, online learning stands out as a promising strategy for large-scale TO tasks, as it eliminates the need for pre-collected training datasets by updating surrogate models dynamically using intermediate optimization data. Stress-constrained lightweight design is an important class of problem with broad engineering relevance. Most existing frameworks use pixel or voxel-based representations and employ the finite element method (FEM) for analysis. The limited continuity across finite elements often compromises the accuracy of stress evaluation. To overcome this… More >

Xiaoai Yi, Jia Li^*, Qihong Fang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.010725

Abstract The complex concentration alloys are considered to have excellent mechanical properties due to the combined effects of heterogeneous composition and microstructure. However, it is difficult for existing simulation methods to capture the significant modulation of mechanical properties by the formation and motion of grain boundaries of complex concentration alloys at the microsecond and nanometer scales. To address this, we utilize the phase field crystal model that combines molecular dynamics and traditional phase field advantages to systematically study real-time grain boundary formation and motion in complex concentration alloys [1]. Meanwhile, we investigated the compositional fluctuations of More >

Baobin Xie, Yang Chen, Weizheng Lu, Jia Li^*, Qihong Fang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, 2025, DOI:10.32604/icces.2025.010608

Abstract Multi-principal element alloys have aroused extensive attention due to their outstanding mechanical, physical, and chemical performances. To achieve performance-orientated design with high efficiency and low cost and further predict the deformation mechanism, new design approaches and cross-simulation methods need to be developed. Here, we propose i) the approach combining with high-throughput atomic simulations, mechanical models as well as machine learning, to efficiently search optimal composition and microstructure [1,2]; (ii) a multistage design framework integrating physical laws, mechanical models and machine learning, to solve the two key problems--the forward problem (composition to performance) and the inverse More >

Ahmed Mahmoud Ismail^1,*, Eman Said Elshewy², Ayman Y. Ahmed³, Hossam M. Darrag⁴

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3023-3045, 2025, DOI:10.32604/phyton.2025.067444 - 29 October 2025

Abstract Powdery mildew of cucumber (Cucumis sativus L.) is a destructive disease caused by Podosphaera xanthii (Castagne) U.Braun & Shishkoff. This study aimed to investigate the antifungal effect of extracts of Ulva lactuca, Spirulina platensis, and Nostoc muscorum against P. xanthii and to improve the physiological and morphological traits of cucumber under commercial greenhouse conditions. The chemical composition of the individual extracts from U. lactuca, S. platensis, and N. muscorum was analyzed utilizing High-performance Liquid Chromatography (HPLC) and Gas Chromatography/Mass spectrometry (GC/MS). Cucumber plants were sprayed twice with 5% of the crude extracts of U. lactuca, S. platensis, and N. muscorum and their mixture (U. lactuca, S. platensis, and N. muscorum).… More >

Xinjian Li¹, Yu Zhang^1,2,*, Zewen Wang¹, Zhenyun Song¹

Energy Engineering, Vol.122, No.11, pp. 4603-4619, 2025, DOI:10.32604/ee.2025.065799 - 27 October 2025

Abstract Power prediction has been critical in large-scale wind power grid connections. However, traditional wind power prediction methods have long suffered from problems, for instance low prediction accuracy and poor reliability. For this purpose, a hybrid prediction model (VMD-LSTM-Attention) has been proposed, which integrates the variational modal decomposition (VMD), the long short-term memory (LSTM), and the attention mechanism (Attention), and has been optimized by improved dung beetle optimization algorithm (IDBO). Firstly, the algorithm’s performance has been significantly enhanced through the implementation of three key strategies, namely the elite group strategy of the Logistic-Tent map, the nonlinear… More >