Urszula Częścik^1,2,#, Martyna Gryglas³, Arkadiusz Szterk⁴, Sylwia Flis^3,#,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.067449 - 19 January 2026

Abstract Colorectal cancer (CRC) is the third most common malignancy worldwide and the second leading cause of cancer-related deaths, accounting for approximately 10% of all cancer cases. By 2050, CRC incidence is expected to rise substantially, driven by population aging and greater exposure to risk factors in developing countries. Despite advances in medicine and pharmacy, the effectiveness of available treatments remains limited, underscoring the urgent need for innovative therapeutic strategies. This review summarizes and critically evaluates currently available CRC therapies and explores new emerging directions. Particular attention is given to the role of immunotherapy, targeted therapies,… More >

Wang Gu¹, Yuanyuan Song², Zhihu Zhang³, Minggang Zheng^1,*

Energy Engineering, Vol.122, No.12, pp. 4837-4856, 2025, DOI:10.32604/ee.2025.069529 - 27 November 2025

Abstract Driven by the global “dual-carbon” goals, hydrogen fuel cell electric vehicles (FCEVs) are being rapidly promoted as a zero-emission transportation solution. However, their large-scale application is constrained by issues such as inefficient operation, poor information flow between vehicles and stations, and potential safety hazards, which are caused by insufficient intelligence of hydrogen refueling stations. This study aims to address these problems by deeply integrating Cellular Vehicle-to-Everything (C-V2X) technology with hydrogen refueling stations, thereby building a safe, efficient, and low-carbon hydrogen energy application ecosystem to promote the global transition to zero-carbon transportation. Firstly, through literature review… More >

Ksenia Anikeeva^*, Ruslan Safin

Journal of Renewable Materials, Vol.13, No.11, pp. 2235-2252, 2025, DOI:10.32604/jrm.2025.02025-0128 - 24 November 2025

Abstract The use of wood-polymer composites (WPC) based on a polymer matrix and wood filler is a modern, environmentally friendly direction in material science. However, untreated wood filler exhibits poor adhesion to hydrophobic polymers due to its hydrophilic lignocellulose fibers. To address this, ozone treatment is employed to enhance compatibility, reduce water absorption, and regulate biodegradation rates. This study investigates the hypothesis that ozone modification of wood filler improves adhesion to thermoplastic starch, thereby enhancing the physico-mechanical properties and controlled biodegradation of WPCs under compost conditions. A comprehensive analysis was conducted on composites containing untreated and… More >

Federico Sacchelli¹, Luca Cattani^1,2, Matteo Malavasi¹, Fabio Bozzoli^1,2,*, Corrado Sciancalepore¹

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1351-1364, 2025, DOI:10.32604/fhmt.2025.064154 - 31 October 2025

Abstract This study investigates the feasibility of a novel dual two-phase cooling system for thermal management in lithium-ion batteries used in electric vehicles (EVs). The proposed system aims to combine low-boiling dielectric fluid immersion cooling and pulsating heat pipes (PHPs), in order to leverage the advantages of both technologies for efficient heat dissipation in a completely passive configuration. Experimental evaluations conducted under different discharge conditions demonstrate that the system effectively maintains battery temperatures within the optimal range of 20–40°C, with enhanced temperature uniformity and stability. While the PHP exhibited minimal impact at low power, its role More >

Duong Tien Dung^1,2,3, Ha Hai Nam⁴, Nguyen Long Giang³, Luong Thi Hong Lan^5,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5341-5357, 2025, DOI:10.32604/cmc.2025.068299 - 23 October 2025

Abstract Active semi-supervised fuzzy clustering integrates fuzzy clustering techniques with limited labeled data, guided by active learning, to enhance classification accuracy, particularly in complex and ambiguous datasets. Although several active semi-supervised fuzzy clustering methods have been developed previously, they typically face significant limitations, including high computational complexity, sensitivity to initial cluster centroids, and difficulties in accurately managing boundary clusters where data points often overlap among multiple clusters. This study introduces a novel Active Semi-Supervised Fuzzy Clustering algorithm specifically designed to identify, analyze, and correct misclassified boundary elements. By strategically utilizing labeled data through active learning, our More >

Madihan Yusof^1,2,3,*, Muhamad Saiful Sulaiman^1,3, Ros Syazmini Mohd Ghani^1,3,4, Sofiyah Mohd Razali^1,5

Journal of Renewable Materials, Vol.13, No.10, pp. 2059-2075, 2025, DOI:10.32604/jrm.2025.02025-0101 - 22 October 2025

Abstract This study investigates the development of an oil palm trunk (OPT) high-performance flame-retardant composite derived from an inexpensive and sustainable biomass source, processed using sodium chloride (NaCl) as a low-cost flame retardant, polyvinyl alcohol (PVA) as an adhesive, and calcium carbonate (CaCO₃) as an additive. The work aims to address the inherent flammability of OPT and to enhance its mechanical performance, dimensional stability, and fire resistance in an environmentally friendly and cost-effective manner. Results indicate that a 10% NaCl treatment optimally improves the performance of the composite, increasing bending strength (MOR) from 5.95 to 12.61 MPa… More > Graphic Abstract

Meenakshi S. Patil^1,*, Rajesh B. Ghongade², Hemant B. Dhonde³

Journal on Artificial Intelligence, Vol.7, pp. 289-300, 2025, DOI:10.32604/jai.2025.069500 - 12 September 2025

Abstract This study seeks to establish a novel, semi-automatic system that utilizes Industry 4.0 principles to effectively determine both acceptable and rejectable concrete cubes with regard to their failure modes, significantly contributing to the dependability of concrete quality evaluations. The study utilizes image processing and machine learning (ML) methods, namely object detection models such as YOLOv8 and Convolutional Neural Networks (CNNs), to evaluate images of concrete cubes. These models are trained and validated on an extensive database of annotated images from real-world and laboratory conditions. Preliminary results indicate a good performance in the classification of concrete More >

Ikhtesham Ullah¹, Muhammad Sajjad Ali Khan², Fawad Hussain¹, Madad Khan³, Kamran^4,*, Ioan-Lucian Popa^5,6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2123-2164, 2025, DOI:10.32604/cmes.2025.064832 - 31 August 2025

Abstract Multi-criteria decision-making (MCDM) is essential for handling complex decision problems under uncertainty, especially in fields such as criminal justice, healthcare, and environmental management. Traditional fuzzy MCDM techniques have failed to deal with problems where uncertainty or vagueness is involved. To address this issue, we propose a novel framework that integrates group and overlap functions with Aczel-Alsina (AA) operational laws in the intuitionistic fuzzy set (IFS) environment. Overlap functions capture the degree to which two inputs share common features and are used to find how closely two values or criteria match in uncertain environments, while the… More >

Nasmi Herlina Sari^1,*, Suteja¹, Widya Fatriasari²

Journal of Renewable Materials, Vol.13, No.8, pp. 1521-1546, 2025, DOI:10.32604/jrm.2025.02024-0058 - 22 August 2025

Abstract Composites made from biopolymers and natural fibers are gaining popularity as alternative sustainable structural materials. Biopolyesters including polylactic acid (PLA), polybutylene succinate (PBS), and polyhydroxyalkanoate (PHA), when mixed with natural fibers such as kenaf, hemp, and jute, provide an environmentally acceptable alternative to traditional fossil-based materials. This article examines current research on developments in the integration of biopolymers with natural fibers, with a focus on enhancing mechanical, thermal, and sustainability. Innovative approaches to surface treatment of natural fibers, such as biological and chemical treatments, have demonstrated enhanced adhesion with biopolymer matrices, increasing attributes such as… More > Graphic Abstract

Younes Lahraoui¹, Jihane Jebrane², Youssef Amal¹, Saiida Lazaar¹, Cheng-Chi Lee^3,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 615-641, 2025, DOI:10.32604/cmes.2025.067778 - 31 July 2025

Abstract Due to their resource constraints, Internet of Things (IoT) devices require authentication mechanisms that are both secure and efficient. Elliptic curve cryptography (ECC) meets these needs by providing strong security with shorter key lengths, which significantly reduces the computational overhead required for authentication algorithms. This paper introduces a novel ECC-based IoT authentication system utilizing our previously proposed efficient mapping and reverse mapping operations on elliptic curves over prime fields. By reducing reliance on costly point multiplication, the proposed algorithm significantly improves execution time, storage requirements, and communication cost across varying security levels. The proposed authentication… More >