Xinyue Dong¹, Wei Zhao¹, Jingying Wang^1,2,*, Shiyue Zhang¹, Yue Zhou³, Xinglian Yang¹, Chunhian Lee^1,3

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.1, 2026, DOI:10.32604/fdmp.2026.076238 - 06 February 2026

Abstract For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions and intense aerodynamic loads. This paper provides a comprehensive review of flow characteristics at the crotch of VSLEs, with particular focus on the transition of shock interaction types and the variation of wall heat flux under different freestream Mach numbers and geometric configurations. The mechanisms governing shock transition, unsteady oscillations, hysteresis, and three-dimensional effects in VSLE flows are first examined. Subsequently, thermal protection strategies aimed at mitigating extreme heating loads are reviewed, emphasizing their relevance to More >

Nuh Azginoglu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075834 - 29 January 2026

Abstract Breast cancer screening programs rely heavily on mammography for early detection; however, diagnostic performance is strongly affected by inter-reader variability, breast density, and the limitations of conventional computer-aided detection systems. Recent advances in deep learning have enabled more robust and scalable solutions for large-scale screening, yet a systematic comparison of modern object detection architectures on nationally representative datasets remains limited. This study presents a comprehensive quantitative comparison of prominent deep learning–based object detection architectures for Artificial Intelligence-assisted mammography analysis using the MammosighTR dataset, developed within the Turkish National Breast Cancer Screening Program. The dataset comprises… More >

Hyeon-Sik Choi¹, Min Kyu Kim¹, Jiuk Shin², Thomas H.-K. Kang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074029 - 29 January 2026

Abstract Unbonded post-tensioned (PT) concrete systems are widely used in safety-critical structures, yet modeling practices for prestress implementation and tendon-concrete interaction remain inconsistent. This study investigates the effects of sheath (duct) implementation and confinement assumptions through nonlinear finite element analysis. Four modeling cases were defined, consisting of an explicit sheath without tendon-concrete confinement (S) and three no-sheath variants with different confinement levels (X, N, A). One-way beams and two-way panels were analyzed, and panel blast responses were validated against experimental results. In both beams and panels, average initial stress levels were similar across models, through local More >

Sarina Sulaiman^*, Muhammad Faris

Journal of Renewable Materials, Vol.14, No.1, 2026, DOI:10.32604/jrm.2025.02025-0105 - 23 January 2026

Abstract In this study, Palm kernel shell (PKS) is utilized as a raw material to produce activated biochar as adsorbent for dye removal from wastewater, specifically methylene blue (MB) dye, by utilizing a simplified and cost-effective approach. Production of activated biochar was carried out using both a furnace and a domestic microwave oven without an inert atmosphere. Three samples of palm kernel shell (PKS) based activated biochar labeled as samples A, B and C were carbonized inside the furnace at 800°C for 1 h and then activated using the microwave-heating technique with varying heating times (0,… More >

Shengran Zhao, Zhensong Li^*, Xiaotan Wei, Yutong Wang, Kai Zhao

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-14, 2026, DOI:10.32604/cmc.2025.068138 - 10 November 2025

Abstract In printed circuit board (PCB) manufacturing, surface defects can significantly affect product quality. To address the performance degradation, high false detection rates, and missed detections caused by complex backgrounds in current intelligent inspection algorithms, this paper proposes CG-YOLOv8, a lightweight and improved model based on YOLOv8n for PCB surface defect detection. The proposed method optimizes the network architecture and compresses parameters to reduce model complexity while maintaining high detection accuracy, thereby enhancing the capability of identifying diverse defects under complex conditions. Specifically, a cascaded multi-receptive field (CMRF) module is adopted to replace the SPPF module… More >

Zhimin Zhao, Liyun Feng, Dongsheng Song, Ming Zhang^*

Journal of Polymer Materials, Vol.42, No.4, pp. 929-957, 2025, DOI:10.32604/jpm.2025.074529 - 26 December 2025

Abstract Global water pollution is becoming increasingly serious, and compound pollutants such as heavy metals and organic dyes pose multidimensional threats to ecology and human health. Metal-organic skeleton compounds (MOFs) have been proven to be highly efficient in capturing a variety of pollutants by virtue of their large specific surface area, adjustable pore channels, and abundant active sites. However, the easy agglomeration of powders, the difficulty of recycling, and the poor long-term stability have limited their practical applications. Cellulose, as the most abundant renewable polymer in nature, has the characteristics of a three-dimensional network, mechanical flexibility,… More >

Guang-Qi Liang¹, Peng-Nan Sun^1,2,*, A-Man Zhang³

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3405-3431, 2025, DOI:10.32604/cmes.2025.072496 - 23 December 2025

Abstract A multi-resolution smoothed particle hydrodynamics and peridynamics (SPH-PD) coupling model is proposed in this study for simulating the fracture characteristics of ice plates exposed to underwater blast loads. The SPH model employs a volume adaptive scheme (VAS) and a multi-resolution particle technique to accurately simulate explosive charge detonation and shock wave propagation. This approach addresses numerical challenges from charge expansion and significant size disparity between the charge and the fluid particles. The model captures the full underwater explosion process, covering both the shock wave phase and the bubble expansion stage, by applying appropriate equations of More >

K. Wang^a,b,*, G. L. Lian^c, Y. F. Qiao^d

Chalcogenide Letters, Vol.22, No.10, pp. 889-904, 2025, DOI:10.15251/CL.2025.2210.889

Abstract The remediation of acid mine drainage (AMD), characterized by its high concentrations of toxic metal ions and low pH, presents a significant environmental challenge. In this study, exfoliated two-dimensional MoS_₂ nanosheets were prepared using a liquid-phase ultrasonication method and evaluated for their efficiency in removing Cd^²⁺, Cu^²⁺, and Pb^²⁺ from aqueous solutions. Detailed structural and morphological analyses confirmed that the exfoliation process significantly enhanced surface area, pore volume, and exposure of reactive sulfur sites. Through isotherm and kinetic modeling analyses, the adsorption behavior was found to align with the Langmuir model and pseudo-second-order kinetic equation, which implies More >

Qunlu Liu^1,#, Fiza Liaquat^1,2,#, Qiqi Tang¹, Jun Yang^3,4, Shuai Qiu⁵, Amber Malik², Kang Ye^3,4, Kai Gao⁵, Jun Qin^3,4,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3539-3562, 2025, DOI:10.32604/phyton.2025.071989 - 01 December 2025

Abstract Hydrangea macrophylla is a popular ornamental shrub with a lot of economic and aesthetic value. It is known for its different flower shapes (lacecap and mophead) and the way its flowers change color depending on the pH of the soil. Even though it is important for gardening, we still don’t know much about the molecular processes that lead to flower growth. The purpose of this study was to find and study SNP-related genes and transcription factors that are connected to the growth of H. macrophylla flowers. Genome-wide SNP analysis identified 11 SNPs associated with MYB transcription factors… More >

Yan Wang^1,2,*, Fuqiang Zhang¹, Long An¹, Bo Wang¹, Xueya Yang¹, Jie Jin^3,4

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2651-2671, 2025, DOI:10.32604/fdmp.2025.070122 - 01 December 2025

Abstract A downburst is a strong downdraft generated by intense thunderstorm clouds, producing radially divergent and highly destructive winds near the ground. Its characteristic scales are expressed through random variations in jet height, velocity, and diameter during an event. In this study, a reduced-scale parked wind turbine is exposed to downburst wind fields to investigate the resulting extreme wind loads. The analysis emphasizes both the flow structure of downbursts and the variations of surface wind pressure on turbine blades under different jet parameters. Results show that increasing jet velocity markedly enhances the maximum horizontal wind speed,… More > Graphic Abstract