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  • Open Access

    ARTICLE

    APENet: Advanced Cyber Security Attack Detection with Attentive Path-Encoding in IoT Networks Using SHAP Based Explainability

    Muhammad Mujahid1, Fatima Alshannaq1, Shaha Al-Otaibi2, Tanzila Saba1,*

    CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.084273 - 13 August 2026

    Abstract Cybersecurity threats in Internet of Things (IoT) networks have escalated, enabled by rapid advancements in wireless communication and edge computing technologies. These advancements expose networks to a wide range of sophisticated and evolving threats and increasingly complex research challenges. Traditional Intrusion Detection and Prevention Systems (IDS/IPS) often fail to provide reliable performance regarding the flexibility and scalability required to handle evolving attack patterns. This study proposes an APENet approach to detect cyberattacks from a real-world cybersecurity dataset, and incorporated a contextual dependency mechanism. The approach captures both local transition dependencies and global relational interactions within… More >

  • Open Access

    RETRACTION

    Retraction: The Long Noncoding RNA HOTAIR Promotes Colorectal Cancer Progression by Sponging miR-197

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.090481 - 13 August 2026

    Abstract This article has no abstract. More >

  • Open Access

    RETRACTION

    Retraction: Knockdown of Long Noncoding RNA TUG1 Inhibits the Proliferation and Cellular Invasion of Osteosarcoma Cells by Sponging miR-153

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.090479 - 13 August 2026

    Abstract This article has no abstract. More >

  • Open Access

    RETRACTION

    Retraction: Long Noncoding RNA MEG3 Suppresses Glioma Cell Proliferation, Migration, and Invasion by Acting as a Competing Endogenous RNA of miR-19a

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.090478 - 13 August 2026

    Abstract This article has no abstract. More >

  • Open Access

    REVIEW

    Regulation of the Wnt/β-Catenin Signaling Pathway by Non-Coding RNAs in Esophageal Squamous Cell Carcinoma: Mechanisms, Translational Relevance, and Therapeutic Implications

    Chao Han, Ming Hou, Ruifeng Yang, Xiaoping Wei, Cheng Wang*

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.081222 - 13 August 2026

    Abstract Esophageal Squamous Cell Carcinoma (ESCC) is a highly aggressive malignancy characterized by a poor long-term prognosis. Aberrant activation of the canonical Wnt/β-catenin pathway serves as a central oncogenic driver in ESCC, with large-scale genomic analyses revealing that most patients harbor alterations in pathway-associated genes. This signaling axis orchestrates a wide array of malignant phenotypes, including tumor proliferation, invasion, epithelial-mesenchymal transition (EMT), cancer stemness, and therapeutic resistance. Therefore, this review aims to provide a comprehensive synthesis of the multifaceted crosstalk between various ncRNA classes and the Wnt/β-catenin axis, highlighting their roles in ESCC progression and their… More >

  • Open Access

    ARTICLE

    A Multi-Specialist Stacking Decoder of Cognitive Workload and a Decomposition of the Limits of Cross-Dataset Transfer in Electroencephalography

    Sugeng Rifqi Mubaroq1,*, Rolly Maulana Awangga2, Tegar Ditya Pragama1, Sidiq Fathummubin3, Ali Yusuf Abdulhaq1

    Intelligent Automation & Soft Computing, Vol.41, pp. 27-46, 2026, DOI:10.32604/iasc.2026.088039 - 11 August 2026

    Abstract Decoding cognitive workload from electroencephalography (EEG) underpins passive brain–computer interfaces and adaptive learning technology, yet practical decoders share two weaknesses: they rely on a single family of features, and their accuracy collapses on recordings from an unfamiliar device, montage, or task. We address both. We first build a multi-specialist stacking decoder that fuses complementary spectral, Riemannian, and spatial views through a meta-learner. Evaluated across two public corpora under the leave-one-subject-out MOABB benchmarking protocol, it outperforms the best single specialist on the binary workload contrasts, and the strongest of these effects survives family-wide false-discovery-rate correction. The… More >

  • Open Access

    ARTICLE

    Analytical Modeling of Transcoding Artifacts for Detecting SIMBox-Routed Calls

    Hyunghoon Kim1, Wonsuk Choi2, Kyungho Joo3,*, Hyojin Jo1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083948 - 27 July 2026

    Abstract As mobile networks evolve toward next-generation architectures in which cellular and IP-based voice services are increasingly converged, SIMBox-based call routing has emerged as an important issue in modern telecommunication networks. By converting Voice over IP (VoIP) traffic into local cellular calls, SIMBox appliances allow IP-originated calls to appear as domestic cellular calls. Although SIMBox usage is not inherently fraudulent, detecting SIMBox-routed calls is important for identifying abnormal call-routing behavior and supporting network-side and client-side security applications. In this paper, we propose a client-side framework for SIMBox-routed call detection. Calls routed through SIMBox infrastructure are identified… More > Graphic Abstract

    Analytical Modeling of Transcoding Artifacts for Detecting SIMBox-Routed Calls

  • Open Access

    REVIEW

    Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

    Deborah Joyce1, Wan Muhammad Farhan Syafiq Wan Mohd Nor2, Ivy Chung2, Amira Hajirah Abd Jamil1, Nur Akmarina Mohd Said1,*

    BIOCELL, Vol.50, No.8, 2026, DOI:10.32604/biocell.2026.077378 - 27 July 2026

    Abstract Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various aspects of cancer cell behaviour, including metabolic reprogramming, proliferation, migration, and intercellular communication. Concurrently, dysregulated cholesterol metabolism has emerged as a hallmark of cancer, influencing tumour growth, immune evasion, chemoresistance, and metastasis. While numerous studies have explored the role of ncRNAs like long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) in modulating cholesterol metabolism within either cancer cells or immune cells, the mechanism of their action largely depends on the involvement of microRNAs (miRNAs). However, the… More >

  • Open Access

    CORRECTION

    Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection

    Hamza Murad Khan1, Shakila Basheer2, Mohammad Tabrez Quasim3, Raja`a Al-Naimi4, Vijaykumar Varadarajan5, Anwar Khan1,*

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.087222 - 23 July 2026

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Beyond Classical Positional Encodings: A Learnable QFT-Inspired Framework for Transformer Language Models

    Sara Tehsin1, Tallha Akram2,*, Syed Rameez Naqvi3, Meshal Alharbi4, Abdulrahman Alabduljabbar2

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.081304 - 23 July 2026

    Abstract Transformers have become the dominant architecture for sequence modeling in natural language processing; however, their effectiveness critically depends on how positional information is encoded. Conventional positional encodings, while effective, may have limited structural flexibility for capturing complex global sequence relationships. Recent quantum-inspired approaches have sought to address this limitation, yet many either oversimplify quantum principles or introduce substantial computational or hardware overhead. We introduce a novel Quantum Fourier Transform (QFT)-inspired positional encoding scheme for transformers, motivated by the structured frequency representation of the QFT. Unlike prior approaches that either emulate quantum operations superficially or require… More >

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