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  • Open Access

    ARTICLE

    DDE-SER: A Dual-Decomposition Ensemble Framework Fusing Adaptive Variational Modes and Harmonic-Percussive Spectrograms for Speech Emotion Recognition

    David Hason Rudd1,*, Cesar Sanin2, Md Rafiqul Islam3, Xianzhi Wang1, Huan Huo1

    CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.084015 - 13 August 2026

    Abstract The accurate classification of human emotions from speech remains a formidable challenge due to the dynamic, non-stationary properties of audio signals and pervasive background noise. Traditional single-domain extraction methods frequently fail to capture overlapping acoustic phenomena, resulting in high misclassification rates among acoustically similar emotions. To overcome this, we propose the Dual-Decomposition Ensemble (DDE-SER), an architecture that synergizes 1D adaptive frequency filtering with 2D spatial spectrogram separation. The framework operates through two distinct pipelines: an adaptive time-domain branch that leverages VGG-optiVMD to autonomously extract Intrinsic Mode Functions (IMFs), and a structural spectrogram branch that applies… More >

  • Open Access

    ARTICLE

    An Integrated Multi-Scale Modeling Framework for Gas Entrainment Prediction in Coalbed Methane Production Systems

    Qin Zhao1, Yuxin Wang1, Gang Chen1, Hui Zhang1, Lei Wang1, Mulin Zhou1, Songfei Zhang1, Yu Weng2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.6, 2026, DOI:10.32604/fdmp.2026.083174 - 30 June 2026

    Abstract This study presents an integrated multi-scale framework for predicting gas entrainment and flow behavior in coalbed methane production systems under gas-liquid two-phase flow conditions. The approach combines three-dimensional computational fluid dynamics simulations, reduced-order modeling, and machine-learning-based prediction to achieve both high physical fidelity and computational efficiency. Such an improved strategy stems from a specific need. As coalbed methane extraction increasingly encounters complex multiphase flow conditions, accurate characterization of gas entrainment has become essential for improving production stability and optimizing downstream gathering and separation systems. In practice, the flow entering rod pumps frequently deviates from the… More >

  • Open Access

    ARTICLE

    Zn Vacancy-Regulated Zn0.4Cd0.6S for Enhanced Charge Separation and Boosted Photocatalytic H2O2 Generation

    Yuanyi Zhang, Yang Gu, Yuxin Lan, Zhenyu Wang, Wei Yan, Yingcong Wei, Jing Xu*

    Chalcogenide Letters, Vol.23, No.5, 2026, DOI:10.32604/cl.2026.082986 - 02 June 2026

    Abstract Photocatalytic H2O2 synthesis from O2 is a green and environmentally friendly route. However, due to the limitations of quick recombination of photogenerated electrons and limited O2 activation ability, photocatalytic reactions often exhibit low efficiency. In this study, Zn vacancy-engineered Zn0.4Cd0.6S (ZnV-ZCS) photocatalysts were successfully constructed via a hydrothermal strategy using L-cysteine as a coordination agent. The optimized ZnV-ZCS-10 catalyst achieves an impressive H2O2 production rate of 44.39 mmol/g within 1 h under 425 nm irradiation, approximately 2.3 times higher than that of pristine Zn0.4Cd0.6S (ZCS). Structural characterization and cycling performance tests confirm that the introduction of Zn vacancies does More > Graphic Abstract

    Zn Vacancy-Regulated Zn<sub>0.4</sub>Cd<sub>0.6</sub>S for Enhanced Charge Separation and Boosted Photocatalytic H<sub>2</sub>O<sub>2</sub> Generation

  • Open Access

    REVIEW

    Liquid-Liquid Phase Separation in Cancer Drug Resistance: Mechanisms and Therapeutic Opportunities

    Yiyang Zhao1, Changchang Sun1, Qihan Dong2, Jiangyang He1, Yan Wang1,3,*, Ling Bi1,*

    Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.076499 - 21 May 2026

    Abstract Liquid-liquid phase separation (LLPS) is an emerging biophysical principle that governs subcellular organization through the formation of dynamic, membraneless biomolecular condensates. This review aims to elucidate the multifaceted mechanisms by which dysregulated LLPS drives cancer drug resistance and to explore therapeutic strategies targeting oncogenic biomolecular condensates for improved anticancer outcomes. We synthesize evidence demonstrating that dysregulated LLPS drives cancer drug resistance through diverse mechanisms, including sustaining oncogenic transcription despite targeted therapies, creating physical barriers against chemotherapeutics, modulating immune checkpoint activity, enhancing DNA damage repair, promoting cancer stemness and radioresistance. By integrating insights from cell cycle More >

  • Open Access

    ARTICLE

    A Damage-Based Framework for Flexible Cohesive Softening Laws in Abaqus without User Subroutines

    Md Jalal Uddin Rumi, Xiaowei Zeng*

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079021 - 27 April 2026

    Abstract Cohesive zone models (CZMs) are widely used to simulate interfacial fracture, where the post-peak softening branch of the traction–separation law (TSL) can strongly influence both the predicted response and the numerical behavior, particularly when the fracture process zone is not small relative to the structure. In Abaqus, however, cohesive elements are natively restricted to bilinear and linear–exponential TSLs, and implementing other softening behaviors typically requires user subroutines, which requires advanced knowledge and limits rapid model development and testing. This work exploits Abaqus’s tabular damage-evolution capability in a different way by constructing the damage variable analytically… More >

  • Open Access

    ARTICLE

    Modeling of the Separation Bubble on Cambered Airfoils Utilizing Modified Parameters in a Transition Model

    Eren Anıl Sezer1,2,3, Muhammer Ayvazoğlu1,2, Muhammed Hatem1,2, Sinem Keskin1,2, Mustafa Özden1,4, Mustafa Serdar Genç1,3,*, Halil Hakan Açıkel1

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.076446 - 30 March 2026

    Abstract Separation bubbles forming on airfoils significantly influence aerodynamic behavior, particularly at low Reynolds numbers, making their accurate prediction a critical challenge in transition modelling. This study investigates numerical modeling of a separation bubble and the effects of airfoil thickness and camber variation on the formation of the bubble dynamics at low Reynolds numbers. The numerical results were compared with the experimental results obtained from surface pressure distribution measurements, oil flow visualisation, and surface shear measurements to analyse the detailed flow behavior. The combination of pressure and flow visualisation techniques provided complementary insights, enabling a detailed… More >

  • Open Access

    ARTICLE

    Computational Modelling of Control of Laminar Separation Bubble over an Airfoil Using an Integrated Tubercle and Vortex Generator

    Mustafa Özden1,2,3, Sinem Keskin1,4, Eren Anıl Sezer1,4,5, Muhammed Hatem1,4, Mustafa Serdar Genç1,5,*, Halil Hakan Açıkel1

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.074675 - 26 February 2026

    Abstract This paper examines a model that combines vortex generators and leading-edge tubercles for controlling the laminar separation bubble (LSB) over an airfoil at low Reynolds numbers (Re). This new concept of passive flow control technique utilizing a tubercle and vortex generator (VG) close to the leading edge was analyzed numerically for a NACA0015 airfoil. In this study, the Shear Stress Transport (SST) turbulence model was employed in the numerical modelling. Numerical modelling was completed using the ANSYS-Fluent 18.2 solver. Analyses were conducted to investigate the flow pattern and understand the underlying LSB control phenomena that More > Graphic Abstract

    Computational Modelling of Control of Laminar Separation Bubble over an Airfoil Using an Integrated Tubercle and Vortex Generator

  • Open Access

    ARTICLE

    Block-Wise Sliding Recursive Wavelet Transform and Its Application in Real-Time Vehicle-Induced Signal Separation

    Jie Li1, Nan An2,3, Youliang Ding2,3,*

    Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.072361 - 08 January 2026

    Abstract Vehicle-induced response separation is a crucial issue in structural health monitoring (SHM). This paper proposes a block-wise sliding recursive wavelet transform algorithm to meet the real-time processing requirements of monitoring data. To extend the separation target from a fixed dataset to a continuously updating data stream, a block-wise sliding framework is first developed. This framework is further optimized considering the characteristics of real-time data streams, and its advantage in computational efficiency is theoretically demonstrated. During the decomposition and reconstruction processes, information from neighboring data blocks is fully utilized to reduce algorithmic complexity. In addition, a… More >

  • Open Access

    PROCEEDINGS

    Perpendicular Separations of a Binary Mixture Under Van Der Waals Confinement

    Kui Lin*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011838

    Abstract The phase separation of confined polymeric mixtures plays a critical role in the design of advanced materials and nanoscale devices. Over the past decades, extensive studies have highlighted the interplay of wetting dynamics, hydrodynamics, and interfacial forces in governing phase separation under confinement. In this work [1], we employ molecular dynamics simulations to investigate the dynamics of a binary mixture confined by van der Waals (vdW) walls, revealing a novel phenomenon termed Perpendicular Separation of Two Phases (PSTP). In the initial stage, water molecules residing in the central region rapidly diffuse and condense symmetrically along… More >

  • Open Access

    ARTICLE

    Simulation of Dynamic Evolution for Oil-in-Water Emulsion Demulsification Controlled by the Porous Media and Shear Action

    Heping Wang1,*, Ying Lu1, Yanggui Li2

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 391-410, 2025, DOI:10.32604/cmes.2025.069763 - 30 October 2025

    Abstract With oily wastewater treatment emerging as a critical global issue, porous media and shear forces have received significant attention as environmentally friendly methods for oil–water separation. This study systematically simulates the dynamics of oil-in-water emulsion demulsification under porous media and shear forces using a color-gradient Lattice Boltzmann model. The morphological evolution and demulsification efficiency of emulsions are governed by porous media and shear forces. The effects of porosity and shear velocity on demulsification are quantitatively analyzed. (1) The presence of porous media enhances the ability of the flow field to trap oil droplets, with lower More >

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