Esther López-Bermúdez, María Soledad Palacios-Gálvez, Francisco José García-Moro, Diego Gómez-Baya^*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1265-1278, 2025, DOI:10.32604/ijmhp.2025.068013 - 30 September 2025

Abstract Objectives: The climate crisis demands urgent action from all sectors of society, including young people in higher education. While previous research has explored individual and contextual predictors of pro-environmental behaviour (PEB), the contribution of Positive Youth Development (PYD) remains underexplored. This study investigates the relationship between PYD dimensions (Competence, Confidence, Connection, Character, and Caring) and two environmental outcomes: environmental habits and climate change awareness, considering gender differences. Methods: A cross-sectional study was conducted with a sample of 1779 students from 10 universities in Andalusia (Spain). Data were collected through an online survey assessing PYD indicators,… More >

Minjie Li¹, Wanhao Shi¹, Dingqian Yang², Manman Yuan², Jiabao Du², Xuandong Liu^1,*

Energy Engineering, Vol.122, No.10, pp. 4297-4312, 2025, DOI:10.32604/ee.2025.066337 - 30 September 2025

Abstract In Xinjiang, China, Oil-immersed paper bushings used in reactors are highly susceptible to discharge breakdown faults due to drastic fluctuations in environmental and oil temperatures. To mitigate this problem, oil-free and explosion-proof epoxy resin-impregnated paper (ERIP) bushings are recommended as replacements. This study develops a multi-physics(electric-thermal-fluid) coupling model for 750 kV high voltage reactors ERIP bushings. The model aims to comprehensively assess their thermal and electrical performance under extreme ambient temperatures ranging from −40°C to 90°C and oil temperatures varying from −10°C to 90°C. The results demonstrate that the bushing temperature rises consistently with increases… More >

Xiaoyang Wu¹, Wenchao Han², Min Kuang^2,*, Xinqi Wang², Wenhao Xie²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2201-2223, 2025, DOI:10.32604/fdmp.2025.067081 - 30 September 2025

Abstract The dynamic behavior of high-speed craft navigating through variable sea states plays a pivotal role in ensuring maritime safety. However, many existing simulation approaches rely on linear or overly simplified representations of the marine environment, thereby limiting the fidelity of motion predictions. This study explores the motion characteristics of a 4.5-t high-speed vessel by conducting fully coupled numerical simulations using the STAR-CCM+ software. The analysis considers both calm and varying sea conditions, incorporating fluctuations in wave height, wavelength, and wind speed to reflect more realistic operating scenarios. Simulation results reveal that the vessel’s hydrodynamic response… 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 >

Xinyao Huang^1,#, Renjun Gu^2,3,#, Ziyun Li^4,*, Fangyu Wang^3,*

Oncology Research, Vol.33, No.10, pp. 2857-2902, 2025, DOI:10.32604/or.2025.066805 - 26 September 2025

Abstract Cold tumors, defined by insufficient immune cell infiltration and a highly immunosuppressive tumor microenvironment (TME), exhibit limited responsiveness to conventional immunotherapies. This review systematically summarizes the mechanisms of immune evasion and the therapeutic strategies for cold tumors as revealed by multi-omics technologies. By integrating genomic, transcriptomic, proteomic, metabolomic, and spatial multi-omics data, the review elucidates key immune evasion mechanisms, including activation of the WNT/β-catenin pathway, transforming growth factor-β (TGF-β)–mediated immunosuppression, metabolic reprogramming (e.g., lactate accumulation), and aberrant expression of immune checkpoint molecules. Furthermore, this review proposes multi-dimensional therapeutic strategies, such as targeting immunosuppressive pathways (e.g.,… More > Graphic Abstract

Weicong Tan^1,#, Qiwu Wu^2,3,#,*, Lingzhi Jiang¹, Tao Tong², Yunchen Su²

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3621-3652, 2025, DOI:10.32604/cmc.2025.068781 - 23 September 2025

Abstract This study introduces a novel algorithm known as the dung beetle optimization algorithm based on bounded reflection optimization and multi-strategy fusion (BFDBO), which is designed to tackle the complexities associated with multi-UAV collaborative trajectory planning in intricate battlefield environments. Initially, a collaborative planning cost function for the multi-UAV system is formulated, thereby converting the trajectory planning challenge into an optimization problem. Building on the foundational dung beetle optimization (DBO) algorithm, BFDBO incorporates three significant innovations: a boundary reflection mechanism, an adaptive mixed exploration strategy, and a dynamic multi-scale mutation strategy. These enhancements are intended to… More >

Ragava Raja R^1,2,*, Girish Khanna R³

Journal on Artificial Intelligence, Vol.7, pp. 301-327, 2025, DOI:10.32604/jai.2025.069693 - 22 September 2025

Abstract Packaging materials are indispensable in modern industries but also significantly contribute to environmental degradation, resource consumption, and waste generation. This systematic review critically assesses the integration of artificial intelligence (AI), life cycle sustainability assessment (LCSA) following ISO 14040 standards, and circularity mapping to overcome sustainability barriers in packaging. The study identifies environmental, economic, and social hotspots across the life cycle stages of packaging materials by examining real-world case studies such as Coca-Cola’s adoption of recycled PET bottles and Unilever’s commitment to 100% recyclable plastic. AI technologies highlight transformative tools for optimising resource allocation, enhancing waste… More >

Ksenia Saerova^*, Ruslan Safin

Journal of Renewable Materials, Vol.13, No.9, pp. 1829-1840, 2025, DOI:10.32604/jrm.2025.02025-0076 - 22 September 2025

Abstract This article presents research focused on developing and scientifically substantiating a technology for producing environmentally friendly glued structures from wood treated through a two-stage process. The methodology involves preliminary thermal modification followed by high-frequency low-temperature plasma treatment. Thermal modification enhances performance characteristics such as resistance to rot, lowers hygroscopicity, and increases dimensional stability. However, it can diminish the adhesive properties of wood, complicating the bonding process. To address this challenge, the study introduces high-frequency low-temperature plasma treatment, which activates the wood surface, improving wettability and adhesion while minimizing glue consumption. Experimental results indicate that plasma More >

Wan Mohd Faizal^1,2,*, Nurul Musfirah Mazlan^1,*, Shazril Imran Shaukat^3,4, Chu Yee Khor², Ab Hadi Mohd Haidiezul², Abdul Khadir Mohamad Syafiq²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1335-1369, 2025, DOI:10.32604/cmes.2025.068660 - 31 August 2025

Abstract Conventional oncology faces challenges such as suboptimal drug delivery, tumor heterogeneity, and therapeutic resistance, indicating a need for more personalized, and mechanistically grounded and predictive treatment strategies. This review explores the convergence of Computational Fluid Dynamics (CFD) and Machine Learning (ML) as an integrated framework to address these issues in modern cancer therapy. The paper discusses recent advancements where CFD models simulate complex tumor microenvironmental conditions, like interstitial fluid pressure (IFP) and drug perfusion, and ML enhances simulation workflows, automates image-based segmentation, and enhances predictive accuracy. The synergy between CFD and ML improves scalability and More >

Yuriy Mayasin¹, Maria Osinnikova¹, Daria Osadchaya¹, Victoria Dmitrienko¹, Anna Gorodilova¹, Chulpan Kharisova¹, Kristina Kitaeva¹, Ivan Filin¹, Valeria Solovyeva¹, Albert Rizvanov^1,2,*

Oncology Research, Vol.33, No.9, pp. 2221-2242, 2025, DOI:10.32604/or.2025.064677 - 28 August 2025

Abstract Melanoma is a malignant neoplasm with a high propensity to metastasize, arising from melanocytes and contributing significantly to global morbidity and mortality. Despite the demonstrated efficacy of many immunotherapy approaches, these methods rely on direct destruction of tumor cells with minimal impact on the aggregate of nearby non-tumor cells, the extracellular matrix, and blood vessels that form the tumor microenvironment (TME). The TME is known to be heterogeneous and dynamic, exerting both antitumor and pro-tumor effects depending on the specific features and stage of carcinogenesis. TME has been shown in several studies to promote… More >