Isam Bahaa Aldallal¹, Abdullahi Abdu Ibrahim^1,*, Saadaldeen Rashid Ahmed^2,3

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.075212 - 10 February 2026

Abstract The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems (IDS) capable of addressing dynamic security threats under constrained resource environments. This paper proposes a hybrid IDS for IoT networks, integrating Support Vector Machine (SVM) and Genetic Algorithm (GA) for feature selection and parameter optimization. The GA reduces the feature set from 41 to 7, achieving a 30% reduction in overhead while maintaining an attack detection rate of 98.79%. Evaluated on the NSL-KDD dataset, the system demonstrates an accuracy of 97.36%, a recall of 98.42%, and an F1-score of 96.67%, with a low false More >

Boram Kim, Guebin Choi^*

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.073500 - 10 February 2026

Abstract Traditional anomaly detection methods often assume that data points are independent or exhibit regularly structured relationships, as in Euclidean data such as time series or image grids. However, real-world data frequently involve irregular, interconnected structures, requiring a shift toward non-Euclidean approaches. This study introduces a novel anomaly detection framework designed to handle non-Euclidean data by modeling transactions as graph signals. By leveraging graph convolution filters, we extract meaningful connection strengths that capture relational dependencies often overlooked in traditional methods. Utilizing the Graph Convolutional Networks (GCN) framework, we integrate graph-based embeddings with conventional anomaly detection models, More >

Fatima Al-Quayed^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074799 - 29 January 2026

Abstract The rapid proliferation of Internet of Things (IoT) devices in critical healthcare infrastructure has introduced significant security and privacy challenges that demand innovative, distributed architectural solutions. This paper proposes FE-ACS (Fog-Edge Adaptive Cybersecurity System), a novel hierarchical security framework that intelligently distributes AI-powered anomaly detection algorithms across edge, fog, and cloud layers to optimize security efficacy, latency, and privacy. Our comprehensive evaluation demonstrates that FE-ACS achieves superior detection performance with an AUC-ROC of 0.985 and an F1-score of 0.923, while maintaining significantly lower end-to-end latency (18.7 ms) compared to cloud-centric (152.3 ms) and fog-only (34.5… More >

Haoxiang Wen¹, Zhaoyang Wang¹, Zhonglin Ye^1,*, Haixing Zhao¹, Maosong Sun²

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074410 - 29 January 2026

Abstract Multivariate anomaly detection plays a critical role in maintaining the stable operation of information systems. However, in existing research, multivariate data are often influenced by various factors during the data collection process, resulting in temporal misalignment or displacement. Due to these factors, the node representations carry substantial noise, which reduces the adaptability of the multivariate coupled network structure and subsequently degrades anomaly detection performance. Accordingly, this study proposes a novel multivariate anomaly detection model grounded in graph structure learning. Firstly, a recommendation strategy is employed to identify strongly coupled variable pairs, which are then used More >

Zongmeng Zhang^1,2,#, Cai Chen^3,#, Shaorui Rui³, Conghan Li³, Jiong Gu^3,*, Liang He^3,*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.073085 - 23 January 2026

Abstract Objective: Hepatocellular carcinoma (HCC) ranks among the most prevalent malignant tumors globally. Metabolically associated fatty liver disease is a significant risk factor for HCC. Adiponectin, a key regulatory protein in glucolipid metabolism, presents potential as an anti-tumor target in HCC cells. The study focused on evaluating the anti-HCC properties of AdipoRon, an agonist of the adiponectin receptor. Method: Cell viability and proliferation were assessed using the cell counting kit-8 and colony formation assays, respectively. AdipoRon’s effect on HCC cell damage was evaluated via flow cytometry, apoptosis, and (lactate dehydrogenase) LDH assays. Mitochondrial function was evaluated… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.078460 - 19 January 2026

Abstract This article has no abstract. More >

Xinyang Li^1,2,3,#, Luyuan Ma^1,2,3,#, Chuan Shen^1,2,3, Ruolan Gu^1,2,3, Shilong Dong^1,2,3, Mingjie Liu^1,2,3, Ying Xiao^1,2,3, Wenpeng Liu^1,2,3, Yuexia Liu^1,2,3, Caiyan Zhao^1,2,3,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.073179 - 19 January 2026

Abstract Background: Hepatocellular carcinoma (HCC) is an aggressive and lethal malignancy. Metabolic reprogramming dynamically remodels the tumor microenvironment (TME) and drives HCC progression. This study investigated the mechanism through which metabolic reprogramming remodels the TME in HCC. Methods: HCC patient transcriptome data were subjected to bioinformatics analysis to identify differentially expressed genes and immune infiltration status. Immunohistochemical analysis was performed to determine the correlation between succinate dehydrogenase complex subunit A (SDHA) expression and M2 macrophage infiltration. SDHA-knockdown or SDHA-overexpressing HCC cells were used for in vitro experiments, including co-culturing, flow cytometry, and enzyme-linked immunosorbent assay. Western blotting… More >

Huan Zhang^1,#, Zhangwendi Xu^1,#, Yien Xu^1,#, Mao Li², Lingrui Liu¹, Caiyun He^1,*, Wenhuan Zhong^1,*, Jiliang Qiu^1,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.073079 - 19 January 2026

Abstract Objective: Ring finger protein 145 (RNF145), an E3 ubiquitin ligase, is significantly upregulated in hepatocellular carcinoma (HCC). However, its role in HCC remains unknown. The study aimed to investigate the functions and underlying mechanisms of RNF145 in HCC. Methods: The role of RNF145 in HCC was investigated using data from The Cancer Genome Atlas (TCGA) and in vitro experimental assays. Its oncogenic functions were assessed using the transwell migration assay and the wound-healing assay. The molecular mechanism was explored through protein immunoprecipitation and western blot analyses. Data from public databases were analyzed to correlate RNF145 expression… More >

Yuerou Feng, Panpan Tong, Shuwen Fu, Xiaofan Lu, Liquan Zheng, Jielan Lai^*, Renchun Lai^*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.072563 - 19 January 2026

Abstract Background: The efficacy of standard 5-fluorouracil (5-FU) chemotherapy for colorectal cancer is limited by drug resistance and adverse effects, prompting research into esketamine, a potent ketamine variant with analgesic, antidepressant, and recently discovered anti-tumor properties, to determine if it can enhance 5-FU’s chemosensitivity. This study investigates whether esketamine synergizes with 5-FU to enhance therapeutic efficacy in colorectal adenocarcinoma cell models. Methods: We performed functional assays to evaluate proliferation (CCK-8), migration (wound healing), invasion (Transwell), and apoptosis (flow cytometry) in colorectal adenocarcinoma cell lines treated with 5-FU alone or in combination with esketamine. Transcriptomic profiling was… More >

Ping Wang^1,2,#, Yan-Han Chen^1,2,#, Ze-Tao Zhan^1,2, Jun-Xiang Zeng^1,2, Yu Chen^3,4, Yuan Lin^1,2, Tao Chen^1,5,*, Wei-Jie Zhou^1,2,5,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.071902 - 19 January 2026

Abstract Background: Thimerosal is a mercury-containing preservative widely used in vaccines. This study aimed to investigate its potential antitumor effects and mechanisms in solid malignancies, particularly colorectal cancer (CRC) and melanoma. Methods: A combination of in vitro and in vivo approaches was employed. Cell proliferation, apoptosis, migration, and invasion were assessed using Cell Counting Kit-8 (CCK-8), colony formation, ATP viability, Western blotting, flow cytometry, wound-healing and Transwell assays. Subcutaneous, lung metastases, and Azoxymethane/Dextran Sulfate Sodium Salt (AOM/DSS)-induced colitis-associated CRC models were established to examine antitumor efficacy and safety. The functional role of mercury ions was validated using structural… More >