David Amilo^1,*, Khadijeh Sadri¹, Evren Hincal^1,2, Mohamed Hafez^3,4

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2189-2222, 2025, DOI:10.32604/cmes.2025.070298 - 26 November 2025

Abstract Breast cancer’s heterogeneous progression demands innovative tools for accurate prediction. We present a hybrid framework that integrates machine learning (ML) and fractional-order dynamics to predict tumor growth across diagnostic and temporal scales. On the Wisconsin Diagnostic Breast Cancer dataset, seven ML algorithms were evaluated, with deep neural networks (DNNs) achieving the highest accuracy (97.72%). Key morphological features (area, radius, texture, and concavity) were identified as top malignancy predictors, aligning with clinical intuition. Beyond static classification, we developed a fractional-order dynamical model using Caputo derivatives to capture memory-driven tumor progression. The model revealed clinically interpretable patterns: More >

Mutamba Ropafadzo Peace¹, Thobeka Madide^1,2, Ntethelelo Sibiya^1,*

BIOCELL, Vol.49, No.11, pp. 2069-2091, 2025, DOI:10.32604/biocell.2025.068017 - 24 November 2025

Abstract The pathogenesis of insulin resistance is influenced by environmental factors, genetic predispositions, and several medications. Various drugs used to manage multiple ailments have been shown to induce insulin resistance, which could lead to Type II Diabetes mellitus (T2DM). Central to drug-induced insulin resistance is mitochondrial dysfunction. Amongst disturbed pathways in drug-induced mitochondrial toxicity is mitophagy, a process that removes dysfunctional mitochondria through the lysosomal pathways to maintain mitochondrial quality. A balance must always be maintained between mitochondrial dynamics and mitophagy, as any alterations may contribute to the pathogenesis of metabolic diseases such as diabetes mellitus.… More >

Ihsan Qadir¹, Usama Naeem², Ahmed Nouman³, Aamir Raza⁴, Jun Wu^1,*

Revue Internationale de Géomatique, Vol.34, pp. 831-853, 2025, DOI:10.32604/rig.2025.069020 - 10 November 2025

Abstract The Jhelum River Basin in Pakistan has experienced recurrent and severe flooding over the past several decades, leading to substantial economic losses, infrastructure damage, and socio-environmental disruptions. This study uses multi-temporal satellite remote sensing data with historical hydrological records to map the spatial and temporal dynamics of major flood events occurring between 1988 and 2019. By utilizing satellite imagery from Landsat 5, Landsat 8, and Sentinel-2, key flood events were analyzed through the application of water indices such as the Normalized Difference Water Index (NDWI) and the Modified NDWI (MNDWI) to delineate flood extents. Historical… More >

Xinyu Jiang¹, Chongrui Du¹, Yamin Wang², Honghua Dai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011552

Abstract Persistent high-resolution observation of the solar corona is essential for advancing human’s understanding of critical solar phenomena, including coronal heating, solar wind acceleration, and the initiation of coronal mass ejections that significantly impact space weather. This study proposes a novel space-based solar corona observation mission concept, which uses a tethered solar sail spacecraft to create a sustained artificial total solar eclipse near the Sun-Earth L2 point. By positioning a probe at the end of Earth’s umbra cone and leveraging Earth as a natural occulter, the mission enables uninterrupted observations of the innermost solar corona. To… More >

Mehmet Numan Kaya^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 327-343, 2025, DOI:10.32604/cmes.2025.072000 - 30 October 2025

Abstract This study investigates the influence of mesh resolution and turbulence model selection on the accuracy of numerical simulations for transonic flow, with particular emphasis on shock-boundary layer interaction phenomena. Accurate prediction of such flows is notoriously difficult due to the sensitivity to near-wall resolution, global mesh density, and turbulence model assumptions, and this problem motivates the present work. Two solvers were employed, rhoCentralFoam (unsteady) and TSLAeroFoam (steady-state), both are compressible and density-based and implemented within the OpenFOAM framework. The investigation focuses on three different non-dimensional wall distance (y⁺) values of 1, 2.5 and 5, each implemented… More >

Muhammad Farman^1,2,3,*, Noreen Asghar⁴, Muhammad Umer Saleem⁴, Kottakkaran Sooppy Nisar^5,6, Kamyar Hosseini^1,2,7, Mohamed Hafez^8,9

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 721-751, 2025, DOI:10.32604/cmes.2025.069541 - 30 October 2025

Abstract Smoking is harmful to the lungs and has numerous effects on our bodies. This leads to decreased lung function, which increases the lungs’ susceptibility to asthma triggers. In this paper, we develop a new fractional-order model and investigate the impact of smoking on the progression of asthma by using the Caputo operator to analyze different factors. Using the Banach contraction principle, the existence and uniqueness of solutions are established, and the positivity and boundedness of the model are proved. The model further incorporates different stages of smoking to account for incubation periods and other latent… More >

Rehman Ali Shah^1,2, Zeeshan Asghar^3,*, Chenji Li², Arezoo Ardekani², Nasir Ali¹

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 753-778, 2025, DOI:10.32604/cmes.2025.069177 - 30 October 2025

Abstract The objective of this work is to investigate the dynamics of a self-propelled undulating sheet in a non-Newtonian electrolyte solution inside a wavy channel under the electroosmotic effect. The electrolyte solution, which is non-Newtonian, is modeled as a Carreau-Yasuda fluid. The flow generated by a combination of an undulating sheet and electroosmotic effect is obtained by solving the continuity and momentum equations. The electroosmotic body force term is derived using the Poisson-Boltzmann equation for the electric potential. A fourth-order ordinary differential equation for the stream function is solved under the Stokes flow regime. The dynamics More >

Sy-Yu Shiau^*, Shuting Ni, Yanli Yu, Songling Cai, Wenbo Huang

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3047-3060, 2025, DOI:10.32604/phyton.2025.070289 - 29 October 2025

Abstract Consumers are increasingly demanding natural colorants that are safe and offer health benefits. In addition to their ornamental characteristics, Kanzan cherry (KC) blossoms present a promising source of red-hued natural colorants and functional bioactive substances. This research utilized distilled water to extract KC petals (KCP) and their ground powders (KCPP) under varying temperatures (30°C–90°C) and times (30–180 min). The total monomeric anthocyanins (TMAC) and total phenolics (TPC) in the extracts were evaluated via the pH differential and Folin–Ciocalteu methods. Antioxidant capacities were assessed by DPPH free radical scavenging ability and reducing power. Results indicated that… More >

Hailong Chen^1,*, Guanzhen Tao¹, Daijun Wei², Guangyao Ouyang³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2527-2538, 2025, DOI:10.32604/fdmp.2025.069569 - 30 October 2025

Abstract Modifications in fuel spray characteristics fundamentally influence fuel–air mixing dynamics in diesel engines, thereby significantly affecting combustion performance and emission profiles. This study explores the operational behavior of RP-5 aviation kerosene/diesel blended fuels in marine diesel engines. A spray visualization platform based on Mie scattering technology was developed to comparatively analyze the spray characteristics, ignition behavior, and soot emissions of RP-5 aviation kerosene, conventional-35# diesel, and their blends at varying mixing ratios (D100H0, D90H10, D70H30, D50H50, D30H70, D0H100). The findings demonstrate that, under constant injection pressure, aviation kerosene combustion results in a more uniform temperature More >

Faraj M. Zaid^1,2, Thaar M. Aljuwaya^3,4,*, Muthanna H. Al-Dahhan^1,3,5,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2443-2471, 2025, DOI:10.32604/fdmp.2025.067557 - 30 October 2025

Abstract This study presents a detailed experimental evaluation of a newly developed mechanistic scale-up methodology for gas-solid fluidized beds. Traditional scale-up approaches typically rely on matching global dimensionless groups, which often fail to ensure local hydrodynamic similarity. In contrast, the new mechanistic method aims to achieve scale-up by matching the radial profiles of gas holdup between geometrically similar beds at corresponding dimensionless axial positions (z/D_c). This approach is based on the premise that when gas holdup profiles align, other key hydrodynamic parameters—such as solids holdup and particle velocity—also become similar. To validate this methodology, experiments were conducted More >