JUNPING LIU^1,2, FEIRAN GAO¹, DANTING WANG², RUIXUE ZHOU², CHUNYAN HUANG^2,*

Oncology Research, Vol.33, No.6, pp. 1323-1334, 2025, DOI:10.32604/or.2024.059113 - 29 May 2025

Abstract Exosomes (EXOs) play an important role in the progression of breast cancer. EXOs, with a diameter of approximately 100 nm, have a simple structure but diverse functions, and can affect the development of breast cancer through signal transduction and molecular transfer, etc. Angiogenesis provides nutrients for the growth and metastasis of breast cancer and is a crucial part of tumor progression. The mechanism of tumor angiogenesis is complex. The VEGF/VEGFR pathway promotes angiogenesis by regulating the activities of ECs. Hypoxia, a common feature in the tumor microenvironment, as a key regulator, can affect angiogenesis… More > Graphic Abstract

Belkis Sulbarán-Rangel^1,*, Jorge Armando Caldera Siller¹, Salvador García Enríquez², José Anzaldo-Hernandez², Jenny Arratia-Quijada³, Marianelly Esquivel Alfaro⁴

Journal of Renewable Materials, Vol.13, No.5, pp. 849-863, 2025, DOI:10.32604/jrm.2025.02024-0061 - 20 May 2025

Abstract In this research, the antibacterial properties of a composite material prepared from agave bagasse cellulose fibers doped with silver nanoparticles and chitosan were studied. The development of composite materials with antibacterial properties and environmentally friendly based on cellulose fibers from agave bagasse with silver nanoparticles prepared by green synthesis and chitosan from shrimp waste enhances the value of these agro-industrial wastes and offers the opportunity for them to have biomedical applications since these raw materials have been poorly reported for this application. The antibacterial properties of chitosan and silver nanoparticles are already known. However, the… More > Graphic Abstract

Arshad Mehmmod^1,#, Komal Batool^1,#, Ahthsham Sajid^2,3, Muhammad Mansoor Alam^2,3, Mazliham MohD Su’ud^3,*, Inam Ullah Khan³

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5155-5179, 2025, DOI:10.32604/cmc.2025.062971 - 19 May 2025

Abstract Traditional rule-based Intrusion Detection Systems (IDS) are commonly employed owing to their simple design and ability to detect known threats. Nevertheless, as dynamic network traffic and a new degree of threats exist in IoT environments, these systems do not perform well and have elevated false positive rates—consequently decreasing detection accuracy. In this study, we try to overcome these restrictions by employing fuzzy logic and machine learning to develop an Enhanced Rule-Based Model (ERBM) to classify the packets better and identify intrusions. The ERBM developed for this approach improves data preprocessing and feature selections by utilizing… More >

Jingcheng Yang¹, Lili Fan², Hongmei Liu^1,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4725-4740, 2025, DOI:10.32604/cmc.2025.062963 - 19 May 2025

Abstract With the advancement of deep learning in the automotive domain, more and more researchers are focusing on autonomous driving. Among these tasks, free space detection is particularly crucial. Currently, many model-based approaches have achieved autonomous driving on well-structured urban roads, but these efforts primarily focus on urban road environments. In contrast, there are fewer deep learning methods specifically designed for off-road traversable area detection, and their effectiveness is not yet satisfactory. This is because detecting traversable areas in complex outdoor environments poses significant challenges, and current methods often rely on single-image inputs, which do not… More >

Huiru Cao¹, Shaoxin Li², Xiaomin Li^3,*, Yongxin Liu⁴

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5575-5593, 2025, DOI:10.32604/cmc.2025.061954 - 19 May 2025

Abstract Efficient flight path design for unmanned aerial vehicles (UAVs) in urban environmental event monitoring remains a critical challenge, particularly in prioritizing high-risk zones within complex urban landscapes. Current UAV path planning methodologies often inadequately account for environmental risk factors and exhibit limitations in balancing global and local optimization efficiency. To address these gaps, this study proposes a hybrid path planning framework integrating an improved Ant Colony Optimization (ACO) algorithm with an Orthogonal Jump Point Search (OJPS) algorithm. Firstly, a two-dimensional grid model is constructed to simulate urban environments, with key monitoring nodes selected based on… More >

Aqsa Rahim^*, Fuqing Yuan, Javad Barabady

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4411-4428, 2025, DOI:10.32604/cmc.2025.061575 - 19 May 2025

Abstract In recent years, advancements in autonomous vehicle technology have accelerated, promising safer and more efficient transportation systems. However, achieving fully autonomous driving in challenging weather conditions, particularly in snowy environments, remains a challenge. Snow-covered roads introduce unpredictable surface conditions, occlusions, and reduced visibility, that require robust and adaptive path detection algorithms. This paper presents an enhanced road detection framework for snowy environments, leveraging Simple Framework for Contrastive Learning of Visual Representations (SimCLR) for Self-Supervised pretraining, hyperparameter optimization, and uncertainty-aware object detection to improve the performance of You Only Look Once version 8 (YOLOv8). The model… More >

Jerome Gacu^1,2,3,*, John Angelo Venus¹, Cleo Faith Forio¹, Leo Banay¹, Eljay Soledad¹, Anabeth Famini¹, April Rose Fajiculay¹, Aprille Ann Sim¹, Jason Rufon¹

Revue Internationale de Géomatique, Vol.34, pp. 235-257, 2025, DOI:10.32604/rig.2025.063512 - 25 April 2025

Abstract The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability, posing significant risks to structural safety and long-term development. This study addresses this critical issue by developing a Comprehensive Ground Suitability Index (CGSI) framework tailored for rural municipalities. Using Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP), the CGSI integrates geophysical, geo-environmental, and geohazard parameters to systematically evaluate land suitability for construction. Data were collected from government agencies, previous studies, and field surveys focusing on the Municipality of Odiongan, Romblon. Parameters… More >

Bin Jiang¹, Houbin Wang^2,*

Energy Engineering, Vol.122, No.5, pp. 2001-2057, 2025, DOI:10.32604/ee.2025.062765 - 25 April 2025

Abstract Considering the special features of dynamic environment economic dispatch of power systems with high dimensionality, strong coupling, nonlinearity, and non-convexity, a GA-DE multi-objective optimization algorithm based on dual-population pseudo-parallel genetic algorithm-differential evolution is proposed in this paper. The algorithm is based on external elite archive and Pareto dominance, and it adopts the cooperative co-evolution mechanism of differential evolution and genetic algorithm. Average entropy and cubic chaotic mapping initialization strategies are proposed to increase population diversity. In the proposed method, we analyze the distribution of neighboring solutions and apply a new Pareto solution set pruning approach.… More >

Michela Costa^1,*, Adolfo Palombo², Andrea Ricci², Ugo Sorge³

Energy Engineering, Vol.122, No.5, pp. 1629-1643, 2025, DOI:10.32604/ee.2025.062613 - 25 April 2025

Abstract Effective thermal management is paramount for successfully deploying lithium-ion batteries in residential settings as storage systems for the exploitation of renewable sources. Uncontrolled temperature increases within battery packs can lead to critical issues such as cell overheating, potentially culminating in thermal runaway events and, in extreme cases, leading to fire or explosions. This work presents a comprehensive numerical thermal model of a battery pack made of prototype pouch cells based on lithium ferrophosphate (LFP) chemistry. The multi-physical model is specifically developed to investigate real-world operating scenarios and to assess safety considerations. The considered energy storage… More >

Perry Yang Tchie Hunn¹, Hadi Nabipour Afrouzi^2,*

Energy Engineering, Vol.122, No.5, pp. 1789-1804, 2025, DOI:10.32604/ee.2025.060124 - 25 April 2025

Abstract With growing interest in its potential applications across both stationary and transportation sectors, hydrogen has emerged as a promising alternative for environmentally responsible power generation. By replacing traditional fuels, hydrogen can significantly reduce greenhouse gas emissions in the transportation sector. This study focuses on the design and downsizing of a green hydrogen fuel cell car, aiming to scale the concept for larger vehicles. Key components, including fuel cells, electrolysers, and solar panels, were evaluated through extensive laboratory testing. The findings reveal that variations in sunlight impact the solar panel’s hydrogen production rate, with differences of… More > Graphic Abstract