Zitong Zhao¹, Zixuan Zhang², Zhenxing Niu^3,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.069752 - 10 November 2025

Abstract Reliable traffic flow prediction is crucial for mitigating urban congestion. This paper proposes Attention-based spatiotemporal Interactive Dynamic Graph Convolutional Network (AIDGCN), a novel architecture integrating Interactive Dynamic Graph Convolution Network (IDGCN) with Temporal Multi-Head Trend-Aware Attention. Its core innovation lies in IDGCN, which uniquely splits sequences into symmetric intervals for interactive feature sharing via dynamic graphs, and a novel attention mechanism incorporating convolutional operations to capture essential local traffic trends—addressing a critical gap in standard attention for continuous data. For 15- and 60-min forecasting on METR-LA, AIDGCN achieves MAEs of 0.75% and 0.39%, and RMSEs More >

Jiqiang Xia¹, Qi Zhan¹, Le Tian^1,2,3,*, Yuxiang Hu^1,2,3, Jianhua Peng⁴

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.069533 - 10 November 2025

Abstract The rapid growth of distributed data-centric applications and AI workloads increases demand for low-latency, high-throughput communication, necessitating frequent and flexible updates to network routing configurations. However, maintaining consistent forwarding states during these updates is challenging, particularly when rerouting multiple flows simultaneously. Existing approaches pay little attention to multi-flow update, where improper update sequences across data plane nodes may construct deadlock dependencies. Moreover, these methods typically involve excessive control-data plane interactions, incurring significant resource overhead and performance degradation. This paper presents P4LoF, an efficient loop-free update approach that enables the controller to reroute multiple flows through 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 >

Hojun Moon, Donghyun You^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 367-390, 2025, DOI:10.32604/cmes.2025.071648 - 30 October 2025

Abstract A numerical method is presented to simulate bubble–particle interaction phenomena in particle-laden flows. The bubble surface is represented in an Eulerian framework by a volume-of-fluid (VOF) method, while particle motions are predicted in a Lagrangian framework. Different frameworks for describing bubble surfaces and particles make it difficult to predict the exact locations of collisions between bubbles and particles. An effective bubble, defined as having a larger diameter than the actual bubble represented by the VOF method, is introduced to predict the collision locations. Once the collision locations are determined, the attachment of particles to the 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 >

Fida Hussain^1,*, Farooq Khan², Javed Ahmad¹, Heqiang Huo³, Tao Jiang³, Iqrar Rana⁴, Sajida Habib⁵, Muhammad Umer Farooq^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3231-3249, 2025, DOI:10.32604/phyton.2025.069654 - 29 October 2025

Abstract The analysis of combining ability and heterosis is very important in enhancing the yield and oil quality of sunflowers under adverse conditions, and it reveals the potential of the parents and the mechanism of gene action. In this study, twenty-one hybrids were developed by crossing seven cytoplasmic male sterile (CMS) lines with three restorer lines and evaluated for agronomic and quality traits. Highly significant general combining ability (GCA) and specific combining ability (SCA) effects were observed, confirming the role of both additive and non-additive gene actions. Among the tested crosses, A-42 × R-86, A-92 ×… More >

Paige M. Henning^*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 2957-2983, 2025, DOI:10.32604/phyton.2025.068899 - 29 October 2025

Abstract Cytokinins are ancient hormones present across all kingdoms of life except archaea, although functional biosynthesis pathways have yet to be identified in animalia. Known for their roles in cell division and proliferation, cytokinins are critical to plant life, as they regulate various aspects of vegetative growth, stress response, and reproduction. In this review, we summarize literature from 2020 to 2025 pertaining to the cytokinin functions in plant reproduction. While general aspects of cytokinin’s role in plant reproduction have been addressed, we particularly focus on the role of cytokinin in reproductive systems due to recent work More >

Heba A. S. El-Nashar^1,*, Ahmed T. Negmeldin^2,3,*, Aziza El Baz⁴, Marizé Cuyler⁵, Brandon Alston⁵, Namrita Lall^5,6,7, Naglaa S. Ashmawy^1,8,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3269-3281, 2025, DOI:10.32604/phyton.2025.067998 - 29 October 2025

Abstract Pimenta dioica is a tropical Caribbean tree belonging to the family Myrtaceae, widely used in various human activities, including perfume production, food flavoring, natural pesticides, and medicine. This study aimed to explore the chemical composition of Pimenta dioica flower essential oil obtained via hydrodistillation using GC-MS analysis. Additionally, the oil’s tyrosinase inhibitory activity was investigated. The effectiveness of the oil’s major constituents in binding to tyrosinase was also evaluated through molecular docking simulations. GC-MS analysis identified fifteen compounds, with eugenol (70.59%) as the major component, followed by β-myrcene (10.54%), limonene (8.55%), β-ocimene (4.92%), α-phellandrene (1.39%), and linalool… More >

Sehrish Bibi^1,*, Vincenzo Minutolo², Obaid Ullah Mehmood³, Renato Zona²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2473-2493, 2025, DOI:10.32604/fdmp.2025.072470 - 30 October 2025

Abstract Arterial stenosis is a critical condition with increasing prevalence among pediatric patients and young adults, making its investigation highly significant. Despite extensive studies on blood flow dynamics, limited research addresses the combined effects of nanoparticles and arterial curvature on unsteady pulsatile flow through multiple stenoses. This study aims to analyze the influence of nanoparticles on blood flow characteristics in realistic curved arteries with mild to severe overlapped constrictions. Using curvilinear coordinates, the thermal energy and momentum equations for nanoparticle-laden blood were derived, and numerical results were obtained through an explicit finite difference method. Key findings More >

Feng He^*, Rui Tan, Songlian Jiang, Chao Qian, Chengzhong Bu, Benqiang Wang

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2557-2577, 2025, DOI:10.32604/fdmp.2025.070186 - 30 October 2025

Abstract This study introduces a Transformer-based multimodal fusion framework for simulating multiphase flow and heat transfer in carbon dioxide (CO₂)–water enhanced geothermal systems (EGS). The model integrates geological parameters, thermal gradients, and control schedules to enable fast and accurate prediction of complex reservoir dynamics. The main contributions are: (i) development of a workflow that couples physics-based reservoir simulation with a Transformer neural network architecture, (ii) design of physics-guided loss functions to enforce conservation of mass and energy, (iii) application of the surrogate model to closed-loop optimization using a differential evolution (DE) algorithm, and (iv) incorporation of economic… More >