Guo-Zhi Xu^1,2, Han-Yang Guan¹, Yan-Guan Guo¹, Yi-Ran Zhang¹, Jing-Hua Pan¹, Simin Luo³, Hui Ding¹, Yunlong Pan^1,*, Qi Yao^4,*

Oncology Research, DOI:10.32604/or.2025.060440

Abstract Background: Tumor angiogenesis is related to solid tumor occurrence. Ubiquitin-specific peptidase 13 (USP13) is a deubiquitinating enzyme with a pivotal effect on tumor proliferation, metastasis, and tumorigenesis. Nonetheless, its effect on colorectal cancer (CRC) angiogenesis remains poorly understood. Methods: Human umbilical vein endothelial cells (HUVECs) and CRC cells were cultivated, followed by USP13 knockdown/overexpression using shRNA lentiviral vectors or plasmids. Conditioned media (CM) from treated CRC cells were collected to assess HUVEC migration, invasion, and tube formation. Phosphatase and tensin homolog (PTEN) overexpression and recombinant vascular endothelial growth factor A (VEGFA) rescue experiments were performed.… More >

Tallha Akram^1,*, Fahdah Almarshad¹, Anas Alsuhaibani¹, Syed Rameez Naqvi^2,3

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.064079

Abstract Melanoma is the deadliest form of skin cancer, with an increasing incidence over recent years. Over the past decade, researchers have recognized the potential of computer vision algorithms to aid in the early diagnosis of melanoma. As a result, a number of works have been dedicated to developing efficient machine learning models for its accurate classification; still, there remains a large window for improvement necessitating further research efforts. Limitations of the existing methods include lower accuracy and high computational complexity, which may be addressed by identifying and selecting the most discriminative features to improve classification… More >

Muhammad Sarwar^1,2,*, Rafiq Alam¹, Kamaleldin Abodayeh^2,*, Saowaluck Chasreechai^3,4, Thanin Sitthiwirattham^4,5

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.062139

Abstract In this manuscript, the notion of a hesitant fuzzy soft fixed point is introduced. Using this notion and the concept of Suzuki-type (μ, ν)-weak contraction for hesitant fuzzy soft set valued-mapping, some fixed point results are established in the framework of metric spaces. Based on the presented work, some examples reflecting decision-making problems related to real life are also solved. The suggested method’s flexibility and efficacy compared to conventional techniques are demonstrated in decision-making situations involving uncertainty, such as choosing the best options in multi-criteria settings. We noted that the presented work combines and generalizes two More >

Baker M. Ayyash¹, Yen Chuan Chen², Ahmad Sallehuddin², Ziyad M. Hijazi^1,*

Congenital Heart Disease, DOI:10.32604/chd.2025.064599

Abstract Pediatric heart valve replacement (PHVR) remains a challenging procedure due to the unique anatomical and physiological characteristics of children, including growth and development, as well as the long-term need for durable valve function. This review provides an overview of both surgical and transcatheter options for aortic, mitral, pulmonary, and tricuspid valve replacements in pediatric patients, highlighting the indications, outcomes, and advancements in technology and technique. Surgical valve replacement traditionally involves the implantation of biological or mechanical prosthetic valves, with biological valves being preferred in children to reduce the need for lifelong anticoagulation therapy. However, the… More >

Ghizlane Houzi¹, Aimad Allali^2,3,*, Amine Elbouzidi^4,*, Mohamed Taibi⁴, Mohamed Chebaibi^3,5, Ben Khada Zineb⁶, Ramzi A. Mothana⁷, Mohammed F. Hawwal⁷, Rachid Flouchi^3,8, Abdeslam Asehraou⁹, Amal Lahkimi², Soad Khal-Layoun¹

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.063021

Abstract This work uses GC-MS to analyze the bioactive compounds of Salvia rosmarinus essential oils (SREO) and evaluates their antibacterial, antifungal, and insecticidal effects, as well as the major component, 1,8-cineole. Chemical analysis identified 16 compounds accounting for 99.19% of the oil’s total content, with 1,8-cineole (33.17%), camphor (16.53%), α-pinene (14.46%), and camphene (8.14%) as the major constituents. Antimicrobial activities were assessed against pathogenic strains using minimal inhibit concentration (MIC) and minimum bactericidal concentration (MBC) assays. SREO exhibited a minimum MIC of 0.128% against P. aeruginosa, while 1,8-cineole showed a minimum MIC of 2.06% against the same strain,… More >

Liang Tang¹, Hongwei Wang¹, Xinyuan Zhu¹, Jiying Liu^2,*, Kaiyue Li^2,*

Energy Engineering, DOI:10.32604/ee.2025.063918

Abstract The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment, hindering the efficient utilization of renewable energy and the low-carbon development of energy systems. To enhance the consumption capacity of green power, the green power system consumption optimization scheduling model (GPS-COSM) is proposed, which comprehensively integrates green power system, electric boiler, combined heat and power unit, thermal energy storage, and electrical energy storage. The optimization objectives are to minimize operating cost, minimize carbon emission, and maximize the consumption of wind and solar curtailment. The multi-objective particle swarm… More >

Zhenhao Wang¹, Hongwei Li^1,*, Dan Pang², Jinming Ge¹

Energy Engineering, DOI:10.32604/ee.2025.063615

Abstract Aiming at the problem of increasing the peak-to-valley difference of grid load and the rising cost of user charging caused by the disorderly charging of large-scale electric vehicles, this paper proposes a coordinated charging scheduling strategy for multiple types of electric vehicles based on the degree of urgency of vehicle use. First, considering the range loss characteristics, dynamic time-sharing tariff mechanism, and user incentive policy in the low-temperature environment of northern winter, a differentiated charging model is constructed for four types of vehicles: family cars, official cars, buses, and cabs. Then, we innovatively introduce the… More >

Fatima Asiri^*, Wajdan Al Malwi

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.064348

Abstract Ensuring information security in the quantum era is a growing challenge due to advancements in cryptographic attacks and the emergence of quantum computing. To address these concerns, this paper presents the mathematical and computer modeling of a novel two-dimensional (2D) chaotic system for secure key generation in quantum image encryption (QIE). The proposed map employs trigonometric perturbations in conjunction with rational-saturation functions and hence, named as Trigonometric-Rational-Saturation (TRS) map. Through rigorous mathematical analysis and computational simulations, the map is extensively evaluated for bifurcation behaviour, chaotic trajectories, and Lyapunov exponents. The security evaluation validates the map’s… More >

Murad Khan^1,*, Mohammed Faisal¹, Fahad R. Albogamy², Muhammad Diyan³

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.063764

Abstract The rapid advancements in distributed generation technologies, the widespread adoption of distributed energy resources, and the integration of 5G technology have spurred sharing economy businesses within the electricity sector. Revolutionary technologies such as blockchain, 5G connectivity, and Internet of Things (IoT) devices have facilitated peer-to-peer distribution and real-time response to fluctuations in supply and demand. Nevertheless, sharing electricity within a smart community presents numerous challenges, including intricate design considerations, equitable allocation, and accurate forecasting due to the lack of well-organized temporal parameters. To address these challenges, this proposed system is focused on sharing extra electricity… More >

Rajendran Thanikachalam¹, Anandhavalli Muniasamy², Ashwag Alasmari³, Rajendran Thavasimuthu^4,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.063063

Abstract Content-Based Image Retrieval (CBIR) and image mining are becoming more important study fields in computer vision due to their wide range of applications in healthcare, security, and various domains. The image retrieval system mainly relies on the efficiency and accuracy of the classification models. This research addresses the challenge of enhancing the image retrieval system by developing a novel approach, EfficientNet-Convolutional Neural Network (EffNet-CNN). The key objective of this research is to evaluate the proposed EffNet-CNN model’s performance in image classification, image mining, and CBIR. The novelty of the proposed EffNet-CNN model includes the integration… More >