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  • Open Access

    REVIEW

    Hypersonic Flow over V-Shaped Leading Edges: A Review of Shock Interactions and Aerodynamic Loads

    Xinyue Dong1, Wei Zhao1, Jingying Wang1,2,*, Shiyue Zhang1, Yue Zhou3, Xinglian Yang1, Chunhian Lee1,3

    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 >

  • Open Access

    ARTICLE

    Noninvasive Radar Sensing Augmented with Machine Learning for Reliable Detection of Motor Imbalance

    Faten S. Alamri1, Adil Ali Saleem2, Muhammad I. Khan3, Hafeez Ur Rehman Siddiqui2, Amjad Rehman3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074679 - 29 January 2026

    Abstract Motor imbalance is a critical failure mode in rotating machinery, potentially causing severe equipment damage if undetected. Traditional vibration-based diagnostic methods rely on direct sensor contact, leading to installation challenges and measurement artifacts that can compromise accuracy. This study presents a novel radar-based framework for non-contact motor imbalance detection using 24 GHz continuous-wave radar. A dataset of 1802 experimental trials was sourced, covering four imbalance levels (0, 10, 20, 30 g) across varying motor speeds (500–1500 rpm) and load torques (0–3 Nm). Dual-channel in-phase and quadrature radar signals were captured at 10,000 samples per second… More >

  • Open Access

    ARTICLE

    Bias Calibration under Constrained Communication Using Modified Kalman Filter: Algorithm Design and Application to Gyroscope Parameter Error Calibration

    Qi Li, Yifan Wang*, Yuxi Liu, Xingjing She, Yixuan Wu

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074066 - 29 January 2026

    Abstract In data communication, limited communication resources often lead to measurement bias, which adversely affects subsequent system estimation if not effectively handled. This paper proposes a novel bias calibration algorithm under communication constraints to achieve accurate system states of the interested system. An output-based event-triggered scheme is first employed to alleviate transmission burden. Accounting for the limited-communication-induced measurement bias, a novel bias calibration algorithm following the Kalman filtering line is developed to restrain the effect of the measurement bias on system estimation, thereby achieving accurate system state estimates. Subsequently, the Field Programmable Gate Array (FPGA) implementation More >

  • Open Access

    ARTICLE

    Ab initio Investigation of Structural Units and Raman Vibrational Characteristics in Ge-Se-Te Glasses

    Xuecai Han, Yilin Tong, Jiaqi Bao, Kan Yu*

    Chalcogenide Letters, Vol.23, No.1, 2026, DOI:10.32604/cl.2026.075604 - 26 January 2026

    Abstract Chalcogenide glasses in the Ge-Se-Te system possess wide infrared transparency and strong optical nonlinearity, yet the microscopic origin of their vibrational behavior remains unclear. Using ab initio calculations, we analyzed Raman-active modes in GeSexTe4−x (x = 0–4) tetrahedra, edge-sharing tetrahedra, and ethane-like Ge2Se2xTe6−2x (x = 0–3) clusters. For GeSexTe4−x (x = 0–4) tetrahedra, the symmetric stretching vibrations exhibit two families: Ge-Se-dominated and Ge-Te-dominated modes, both showing monotonic redshifts as the number of same-type bonds increases. In edge-sharing tetrahedra, the Ge-Ch-Ge-Ch (Ch = Se or Te) four-membered-ring breathing frequency decreases with higher Te content, and a comparable softening is More >

  • Open Access

    REVIEW

    Thermal Insulation Performance of Natural Fibre-Reinforced Composites—A Comprehensive Review

    Raviduth Ramful*

    Journal of Renewable Materials, Vol.14, No.1, 2026, DOI:10.32604/jrm.2025.02025-0116 - 23 January 2026

    Abstract Typically used thermal insulation materials such as foam insulation and fibreglass may pose notable health risks and environmental impacts thereby resulting in respiratory irritation and waste disposal issues, respectively. While these materials are affordable and display good thermal insulation, their unsustainable traits pertaining to an intensive manufacturing process and poor disposability are major concerns. Alternative insulation materials with enhanced sustainable characteristics are therefore being explored, and one type of material which has gained notable attention owing to its low carbon footprint and low thermal conductivity is natural fibre. Among the few review studies conducted on… More > Graphic Abstract

    Thermal Insulation Performance of Natural Fibre-Reinforced Composites—A Comprehensive Review

  • Open Access

    REVIEW

    Cancer-Associated Fibroblasts in Prostate Cancer: Unraveling Mechanisms and Therapeutic Implications

    Yang Wu1,#,*, Dong Xu1,#, Run Shi1, Mingwei Zhan2, Shaohui Xu3, Xin Wang4, Jianpeng Zhang5, Zhaokai Zhou6, Weizhuo Wang7, Yongjie Wang8, Minglun Li9, Zihao Xu10,*, Kaifeng Su11,*

    Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.073265 - 19 January 2026

    Abstract Prostate cancer (PCa) remains a major cause of cancer-related mortality in men, largely due to therapy resistance and metastatic progression. Increasing evidence highlights the tumor microenvironment (TME), particularly cancer-associated fibroblasts (CAFs), as a critical determinant of disease behavior. CAFs constitute a heterogeneous population originating from fibroblasts, mesenchymal stem cells, endothelial cells, epithelial cells undergoing epithelial–mesenchymal transition (EMT), and adipose tissue. Through dynamic crosstalk with tumor, immune, endothelial, and adipocyte compartments, CAFs orchestrate oncogenic processes including tumor proliferation, invasion, immune evasion, extracellular matrix remodeling, angiogenesis, and metabolic reprogramming. This review comprehensively summarizes the cellular origins, phenotypic More >

  • Open Access

    ARTICLE

    The FN1-ITGB4 Axis Drives Acquired Chemoresistance in Bladder Cancer by Activating FAK Signaling

    Xiaoyu Zhang1,#, RenFei Zong1,#, Yan Sun1, Nan Chen2, Kunyao Zhu1, Hang Tong1, Tinghao Li1, Junlong Zhu1, Zijia Qin1, Linfeng Wu1, Aimin Wang1, Weiyang He1,*

    Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.072084 - 19 January 2026

    Abstract Objective: While cisplatin-based chemotherapy is pivotal for advanced bladder cancer, acquired resistance remains a major obstacle. This study investigates key molecular drivers of this resistance and potential reversal strategies. Methods: We established GC (Gemcitabine and Cisplatin)-resistant T24-R and UC3-R cell lines from T24 and UM-UC-3 (UC3) cells. Transcriptomic and proteomic analyses identified differentially expressed molecules. Apoptosis and cell viability were assessed by flow cytometry and CCK-8 (Cell Counting Kit-8) assays, while RT-qPCR (Reverse Transcription Quantitative Polymerase Chain Reaction) and Western blot analyzed gene and protein expression. Immunofluorescence evaluated FAK (Focal Adhesion Kinase) phosphorylation, and a… More >

  • Open Access

    ARTICLE

    Data-Driven Prediction and Optimization of Mechanical Properties and Vibration Damping in Cast Iron–Granite-Epoxy Hybrid Composites

    Girish Hariharan1, Vinyas1, Gowrishankar Mandya Chennegowda1, Nitesh Kumar1, Shiva Kumar1, Deepak Doreswamy2, Subraya Krishna Bhat1,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073772 - 12 January 2026

    Abstract This study presents a framework involving statistical modeling and machine learning to accurately predict and optimize the mechanical and damping properties of hybrid granite–epoxy (G–E) composites reinforced with cast iron (CI) filler particles. Hybrid G–E composite with added cast iron (CI) filler particles enhances stiffness, strength, and vibration damping, offering enhanced performance for vibration-sensitive engineering applications. Unlike conventional approaches, this work simultaneously employs Artificial Neural Networks (ANN) for high-accuracy property prediction and Response Surface Methodology (RSM) for in-depth analysis of factor interactions and optimization. A total of 24 experimental test data sets of varying input… More >

  • Open Access

    ARTICLE

    Long-Term Bridge Health Evaluation Using Resonant Frequency Changes under Random Loading Conditions

    Thi Kim Chi Duong1, Bich-Ngoc. Mach2, Hoa-Cuc. Nguyen2, Thi Nhu Quynh Trinh2, Thanh Q. Nguyen3,4,*

    Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.070185 - 08 January 2026

    Abstract This study explores theoretical insights and experimental results on monitoring load-carrying capacity degradation in bridge spans through frequency analysis. Experiments were conducted on real bridge structures, including the Binh Thuan Bridge, focusing on analyzing the power spectral density (PSD) of vibration signals under random traffic loads. Detailed digital models of various bridge spans with different structural designs and construction periods were developed to ensure diversity. The study utilized PSD to analyze the vibration signals from the bridge spans under various loading conditions, identifying the vibration frequencies and the corresponding response regions. The research correlated the… More >

  • Open Access

    ARTICLE

    HE4 Might Participate in Extracellular Matrix Remodeling in Ovarian Cancer via Activation of Fibroblasts

    Yimin Liu1,#, Bin Liu2,3,4,#, Huabin Gao1, Jinlong Wang5, Jingya Duan1, Xiaolan Huang1, Yuexi Liu1, Ying Huang1, Wenjing Liao1, Ruonan Li1,*, Hua Linghu1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069007 - 30 December 2025

    Abstract Objectives: High-grade serous ovarian cancer (HGSOC), the most common subtype of epithelial ovarian cancer (EOC), exhibits a mesenchymal phenotype characterized by fibrotic stroma and poor prognosis. Human epididymis protein 4 (HE4), a key diagnostic biomarker for ovarian cancer, is involved in fibrotic processes in several non-malignant diseases. Given the clinical significance of stromal fibrosis in HGSOC and the potential link between HE4 and fibrosis, this study aimed to investigate the role of HE4 in the formation of stromal fibrosis in HGSOC. Methods: A total of 126 patients with gynecological conditions were included and divided into… More > Graphic Abstract

    HE4 Might Participate in Extracellular Matrix Remodeling in Ovarian Cancer via Activation of Fibroblasts

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