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  • Open Access

    REVIEW

    Molecular insights into immune evasion in head and neck squamous cell carcinomas: Toward a promising treatment strategy

    HYEON JI KIM1,#, BO KYUNG JOO1,#, JIN-SEOK BYUN2,3,*, DO-YEON KIM1,3,*

    Oncology Research, Vol.33, No.6, pp. 1271-1282, 2025, DOI:10.32604/or.2025.062207 - 29 May 2025

    Abstract Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive and devastating disease arising primarily from the mucosal epithelium of the oral cavity, pharynx, and larynx. HNSCC ranks as the sixth most common cancer worldwide, carrying significant morbidity and mortality. HPV-positive HNSCC can be partially prevented with the FDA-approved HPV vaccine and generally exhibits a more favorable prognosis compared to HPV-negative cases. However, effective screening and treatment approaches remain elusive for HPV-negative HNSCC. While precancerous lesions may precede invasive cancer in certain situations, most patients present with advanced disease without prior indication of precancerous More >

  • Open Access

    ARTICLE

    Exploring the Role of SGK1 in Kidney Physiology: Insights from Transcriptomic Analysis

    Chieh-Jen Wu1,#, Yu-He Li2,#, Hsin-Hung Chen3,*

    BIOCELL, Vol.49, No.5, pp. 857-872, 2025, DOI:10.32604/biocell.2025.064071 - 27 May 2025

    Abstract Background: Serum- and glucocorticoid-induced kinase 1 (SGK1) is a member of the serine/threonine kinase family, playing a crucial role in regulating ion channel function, hormone secretion, cellular growth, survival mechanisms, and neuronal activity. SGK1 is implicated in kidney diseases, hypertension, and metabolic syndromes, influencing salt intake, renal growth, and renal potassium (K+) excretion during mineralocorticoid overdose. Although SGK1’s renal functions have been explored, comprehensive identification of SGK1-related genes and signaling cascades remains limited. Objectives: This research sought to explore the cellular mechanisms and signaling pathways influenced by SGK1 in rat kidney cells. Methods: NRK-52E cells, derived… More >

  • Open Access

    ARTICLE

    Detecting and Mitigating Distributed Denial of Service Attacks in Software-Defined Networking

    Abdullah M. Alnajim1,*, Faisal Mohammed Alotaibi2,#, Sheroz Khan3,#

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4515-4535, 2025, DOI:10.32604/cmc.2025.063139 - 19 May 2025

    Abstract Distributed denial of service (DDoS) attacks are common network attacks that primarily target Internet of Things (IoT) devices. They are critical for emerging wireless services, especially for applications with limited latency. DDoS attacks pose significant risks to entrepreneurial businesses, preventing legitimate customers from accessing their websites. These attacks require intelligent analytics before processing service requests. Distributed denial of service (DDoS) attacks exploit vulnerabilities in IoT devices by launching multi-point distributed attacks. These attacks generate massive traffic that overwhelms the victim’s network, disrupting normal operations. The consequences of distributed denial of service (DDoS) attacks are typically… More >

  • Open Access

    ARTICLE

    A Study on the Inter-Pretability of Network Attack Prediction Models Based on Light Gradient Boosting Machine (LGBM) and SHapley Additive exPlanations (SHAP)

    Shuqin Zhang1, Zihao Wang1,*, Xinyu Su2

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5781-5809, 2025, DOI:10.32604/cmc.2025.062080 - 19 May 2025

    Abstract The methods of network attacks have become increasingly sophisticated, rendering traditional cybersecurity defense mechanisms insufficient to address novel and complex threats effectively. In recent years, artificial intelligence has achieved significant progress in the field of network security. However, many challenges and issues remain, particularly regarding the interpretability of deep learning and ensemble learning algorithms. To address the challenge of enhancing the interpretability of network attack prediction models, this paper proposes a method that combines Light Gradient Boosting Machine (LGBM) and SHapley Additive exPlanations (SHAP). LGBM is employed to model anomalous fluctuations in various network indicators,… More >

  • Open Access

    ARTICLE

    CloudViT: A Lightweight Ground-Based Cloud Image Classification Model with the Ability to Capture Global Features

    Daoming Wei1, Fangyan Ge2, Bopeng Zhang1, Zhiqiang Zhao3, Dequan Li3,*, Lizong Xi4, Jinrong Hu5,*, Xin Wang6

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5729-5746, 2025, DOI:10.32604/cmc.2025.061402 - 19 May 2025

    Abstract Accurate cloud classification plays a crucial role in aviation safety, climate monitoring, and localized weather forecasting. Current research has been focusing on machine learning techniques, particularly deep learning based model, for the types identification. However, traditional approaches such as convolutional neural networks (CNNs) encounter difficulties in capturing global contextual information. In addition, they are computationally expensive, which restricts their usability in resource-limited environments. To tackle these issues, we present the Cloud Vision Transformer (CloudViT), a lightweight model that integrates CNNs with Transformers. The integration enables an effective balance between local and global feature extraction. To… More >

  • Open Access

    ARTICLE

    UAV 3D Path Planning Based on Improved Chimp Optimization Algorithm

    Wenli Lei1,2,*, Xinghao Wu1,2, Kun Jia1,2, Jinping Han1,2

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5679-5698, 2025, DOI:10.32604/cmc.2025.061268 - 19 May 2025

    Abstract Aiming to address the limitations of the standard Chimp Optimization Algorithm (ChOA), such as inadequate search ability and susceptibility to local optima in Unmanned Aerial Vehicle (UAV) path planning, this paper proposes a three-dimensional path planning method for UAVs based on the Improved Chimp Optimization Algorithm (IChOA). First, this paper models the terrain and obstacle environments spatially and formulates the total UAV flight cost function according to the constraints, transforming the path planning problem into an optimization problem with multiple constraints. Second, this paper enhances the diversity of the chimpanzee population by applying the Sine… More >

  • Open Access

    ARTICLE

    A Lightweight IoT Data Security Sharing Scheme Based on Attribute-Based Encryption and Blockchain

    Hongliang Tian, Meiruo Li*

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5539-5559, 2025, DOI:10.32604/cmc.2025.060297 - 19 May 2025

    Abstract The accelerated advancement of the Internet of Things (IoT) has generated substantial data, including sensitive and private information. Consequently, it is imperative to guarantee the security of data sharing. While facilitating fine-grained access control, Ciphertext Policy Attribute-Based Encryption (CP-ABE) can effectively ensure the confidentiality of shared data. Nevertheless, the conventional centralized CP-ABE scheme is plagued by the issues of key misuse, key escrow, and large computation, which will result in security risks. This paper suggests a lightweight IoT data security sharing scheme that integrates blockchain technology and CP-ABE to address the abovementioned issues. The integrity… More >

  • Open Access

    ARTICLE

    Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data

    Jiawei Shi1,2,3,#, Zhen Wang1,2,3,#, Ying Bai1,2,3, Shiying Li1,2,3, Xin Zhang1,2,3, Tianshu Liu1,2,3, Liu Hong1,2,3, Li Cui1,2,3, Yi Zhang1,2,3, Jing Ma1,2,3, Juanjuan Liu1,2,3, Jing Zhang1,2,3, Haiyan Cao1,2,3,*, Jing Wang1,2,3,*

    Congenital Heart Disease, Vol.20, No.2, pp. 213-229, 2025, DOI:10.32604/chd.2025.064950 - 30 April 2025

    Abstract Background: Tetralogy of Fallot (TOF), the predominant cyanotic congenital heart defect, arises from multifactorial gene-environment interactions disrupting cardiac developmental networks. This study investigated TOF-specific transcriptional alterations and identified high-confidence candidate genes. Methods: Based on GSE36761 transcriptome data, a weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network were conducted to identify TOF-related sub-network and Hub genes. The potential biological functions among these genes were revealed by enrichment analysis. Genetic, epigenetic and transcriptional alteration in the Hub genes were analyzed with leveraged public resources: a methylation dataset (GSE62629) and two single-cell datasets (EGAS00001003996 and GSE126128). Results:More >

  • Open Access

    ARTICLE

    Hemodynamic Profile Based on Right Heart Catheterization in Adult Acyanotic Congenital Heart Disease with Pulmonary Hypertension

    Dina Anggraini1, Kurnia Wahyudi2, Melawati Hasan3, Sri Endah Rahayuningsih4,*, Charlotte Johanna Cool3

    Congenital Heart Disease, Vol.20, No.2, pp. 133-141, 2025, DOI:10.32604/chd.2025.064164 - 30 April 2025

    Abstract Background: Congenital heart disease (CHD) occurs in 9 out of 100 births and is the leading cause of birth defects, with acyanotic CHD being more common. The incidence of adult CHD is rising faster than pediatric CHD. Pulmonary hypertension is the most common complication in untreated CHD patients. Methods: This study is retrospective descriptive research based on medical record data and the results of right heart catheterization examinations in adult acyanotic CHD aged ≥18 years and free from other organ disorders. Results: A total of 103 patients met the inclusion criteria, the majority were young… More >

  • Open Access

    ARTICLE

    Metabolomic and Transcriptomic Insights into Enhanced Paclitaxel Biosynthesis in Cultivated Taxus cuspidata

    Dandan Wang*, Jiaxin Chen, Yanwen Zhang

    Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1137-1158, 2025, DOI:10.32604/phyton.2025.063894 - 30 April 2025

    Abstract Taxus cuspidata, a rare species of the Taxus genus, and its wild resources are under severe threat. The development of cultivated species has become an important strategy to replace wild species. The objective of this work was to elucidate the differences in secondary metabolite accumulation, particularly in the paclitaxel biosynthesis pathway, between wild and cultivated species. This study employed liquid chromatography-tandem mass spectrometry (LC-MS/MS) and RNA sequencing (RNA-Seq) technologies to conduct integrated metabolomic and transcriptomic analyses of wild and cultivated species of T. cuspidata. The results showed that the content of paclitaxel in cultivated species was significantly higher… More >

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