Anandkumar Balasubramaniam, Seung Yeob Nam^*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077582 - 09 April 2026

Abstract The increasing connectivity of modern vehicles exposes the in-vehicle controller area network (CAN) bus to various cyberattacks, including denial-of-service, fuzzy injection, and spoofing attacks. Existing machine learning and deep learning intrusion detection systems (IDS) often rely on labeled data, struggle with class imbalance, lack interpretability, and fail to generalize well across different datasets. This paper proposes a lightweight and interpretable IDS framework based on non-negative matrix factorization (NMF) to address these limitations. Our contributions include: (i) evaluating NMF as both a standalone unsupervised detector and an interpretable feature extractor (NMF-W) for classical, unsupervised, and deep… More >

Zhaojun Gu¹, Wenlong Yue², Chunbo Liu^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077388 - 09 April 2026

Abstract Anomaly detection in system logs is a critical technical means for identifying potential faults and security risks. In distributed environments, traditional deep learning-based log anomaly detection methods often suffer from shortcomings in transparency, computational overhead, and data privacy protection. To address these issues, this paper proposes a federated learning-driven lightweight and explainable log anomaly detection framework named FedXLog. The framework adapts to heterogeneous logs through hierarchical feature extraction, introduces the Federated Gradient Trajectory Aggregation algorithm (FedGradTrace) to enhance the explainability of the parameter aggregation process, constructs lightweight models using knowledge distillation, and achieves globally consistent… More >

Jia Yuan^1,2,#, Yanxing Lv^2,#, Xinyuan Ding³, Yunyi Zeng¹, Li Ma⁴, Hang Yang¹, Lin Jiang¹, Kamil Bildebayev⁵, Boiko Yuliya Nikolaevna⁵, Na Zhou^1,*

Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.076648 - 31 March 2026

Abstract Backgorund: Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital anomaly of coronary artery anatomy, usually diagnosed in infancy, but adults may also be affected by this deformity. Objectives: The aim of this study is to examine long-term outcomes in patients with ALCAPA and analyze the relevant factors influencing postoperative outcomes. Methods: The records of patients with ALCAPA admitted from January 2015 to December 2024 were retrospectively reviewed. Clinical data of the patients were retrieved from the records. The follow-up data included mortality rates and complications. Kaplan-Meier survival curves were… More >

Yu-Ran Jeon¹, Seung-Ha Jee¹, Su-Kyoung Kim¹, Il-Gu Lee^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.077784 - 30 March 2026

Abstract As cyberattacks become increasingly sophisticated and intelligent, demand for machine-learning-based anomaly detection systems is growing. However, conventional systems generally assume a trusted server environment, where traffic data is collected and analyzed in plaintext. This assumption introduces inherent privacy risks, as privacy-sensitive information may be exposed if the server is compromised or misused. To address this limitation, privacy-preserving anomaly detection approaches have been actively studied, enabling anomaly detection to be performed directly on encrypted traffic without revealing privacy-sensitive data. While these approaches offer strong confidentiality guarantees, they suffer from significant drawbacks, including substantial computational overhead, high… More >

Chung-Che Tsai^1,#, Chih-Hung Lin^2,#, Katherine Lin^3,4, Jia Hong Hubert Chen^4,5, Ying Jie Celia Chen^4,5, Ilyssa Ting-Ying Chang^3,4, Hsu-Hung Chang⁶, Jin-Yin Chang⁷, Tin-Yi Chu⁸, Po-Chih Hsu^4,8,*, Chan-Yen Kuo^8,*

BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2025.073698 - 23 March 2026

Abstract Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, most commonly driven by chronic hepatitis B virus (HBV) infection. The HBV X protein (HBx) plays a central role in hepatocarcinogenesis by regulating transcription, signal transduction, epigenetic modification, and interactions with noncoding RNAs. This review summarizes current advances in HBx-mediated signaling pathways and mutation-specific functions, highlighting its potential as a prognostic biomarker and therapeutic target, and providing insights for future strategies in HCC treatment and HBV eradication. Activation of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), cAMP response element binding protein/activating transcription factor More > Graphic Abstract

Oncology Research Editorial Office

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.081287 - 23 March 2026

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.081284 - 23 March 2026

Abstract This article has no abstract. More >

Yiran Dong¹, Jingyue Wang¹, Jiayang Chen², Liang Mo², Yong You^1,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.075191 - 23 March 2026

Abstract Background: Lung adenocarcinoma (LUAD), the most prevalent histological subtype of lung cancer, remains a leading cause of cancer-related mortality due to late diagnosis, metastasis, and therapy resistance. The aim of the study is to investigate the role of Kinetochore Scaffold 1 (KNL1) in promoting LUAD progression and its underlying molecular regulatory mechanisms. Methods: KNL1 mRNA expression levels across 33 cancer types were analyzed using bioinformatics analysis based on the TCGA database. Immunohistochemistry (IHC) was used to assess KNL1 expression in LUAD and normal tissues. Stable KNL1-knockdown and KNL1-overexpressing LUAD cell lines were established using lentiviral… More >

Kuan-Hao Lin¹, Yu-Ju Lin¹, Yu-Bin Hong¹, Meng-Huai Hsu¹, Zhen-Xiang Liao¹, Shuo-Yu Chang¹, Chiou-Hwa Yuh^1,2,3,4,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.074144 - 23 March 2026

Abstract Objectives: Hepatocellular carcinoma (HCC) has limited systemic options with substantial toxicity. G-quadruplex (G4) structures in oncogene promoters are attractive but challenging drug targets. This study aimed to determine whether glutamic acid–chelated cobalt (GACC) is a G4-active scaffold with anti-HCC efficacy and favorable in vivo safety, and whether an AI-guided phenotypic response surface (PRS) can optimize less toxic combinations. Methods: Anticancer activity was tested in HCC cell lines (PLC/PRF/5, Hep3B, HepG2) and non-transformed THLE-2 hepatocytes (CCK-8, IC₅₀). In vivo safety/efficacy were assessed in zebrafish embryo toxicity assays, a Hep3B xenograft model, and a tert-overexpressing transgenic zebrafish model, with hepatotoxicity… More > Graphic Abstract

Sophiette G. Hong^1,2, George F. Murphy², Christine G. Lian^2,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.073894 - 23 March 2026

Abstract Malignant melanoma (MM) is a highly aggressive skin cancer known for its rapid progression, potential for metastasis, and resistance to treatment. Despite advances in targeted therapies and immunotherapy, the prognosis for metastatic melanoma remains unfavorable. Recent research has shed light on the significance of epigenetic modifications in the pathogenesis of melanoma, revealing critical mechanisms of melanoma development and progression. Epigenetic modifications, including DNA and RNA modifications, histone modifications, chromatin remodeling, and non-coding RNA regulation, disrupt normal gene expression without modifying the DNA sequence, leading to cellular transformation, invasion, immune evasion, and therapeutic resistance. The reversible… More >