JIAHENG WEI¹, LIANGMING ZHU^2,*

Oncology Research, Vol.33, No.4, pp. 863-872, 2025, DOI:10.32604/or.2024.054201 - 19 March 2025

Abstract Lung cancer is one of the main causes of cancer-related deaths globally, with non-small cell lung cancer (NSCLC) being the most prevalent histological subtype of lung cancer. Glutathione peroxidase 4 (GPX4) is a crucial antioxidant enzyme that plays a role in regulating ferroptosis. It is also involved in a wide variety of biological processes, such as tumor cell growth invasion, migration, and resistance to drugs. This study comprehensively examined the role of GPX4 in NSCLC and investigated the clinical feasibility of targeting GPX4 for NSCLC treatment. We discovered that GPX4 influences the progression of NSCLC More >

Yahia Said^1,2,*, Yahya Alassaf³, Refka Ghodhbani⁴, Taoufik Saidani⁴, Olfa Ben Rhaiem⁵

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3005-3018, 2025, DOI:10.32604/cmc.2025.060928 - 17 February 2025

Abstract Transportation systems are experiencing a significant transformation due to the integration of advanced technologies, including artificial intelligence and machine learning. In the context of intelligent transportation systems (ITS) and Advanced Driver Assistance Systems (ADAS), the development of efficient and reliable traffic light detection mechanisms is crucial for enhancing road safety and traffic management. This paper presents an optimized convolutional neural network (CNN) framework designed to detect traffic lights in real-time within complex urban environments. Leveraging multi-scale pyramid feature maps, the proposed model addresses key challenges such as the detection of small, occluded, and low-resolution traffic… More >

Yuwei Xu, Baokang Zhao^*, Huan Zhou, Jinshu Su

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 609-629, 2024, DOI:10.32604/cmes.2024.053462 - 20 August 2024

Abstract The rapid expansion of artificial intelligence (AI) applications has raised significant concerns about user privacy, prompting the development of privacy-preserving machine learning (ML) paradigms such as federated learning (FL). FL enables the distributed training of ML models, keeping data on local devices and thus addressing the privacy concerns of users. However, challenges arise from the heterogeneous nature of mobile client devices, partial engagement of training, and non-independent identically distributed (non-IID) data distribution, leading to performance degradation and optimization objective bias in FL training. With the development of 5G/6G networks and the integration of cloud computing… More >

Mohamed Karray^1,*, Nesrine Triki^2,*, Mohamed Ksantini²

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 119-138, 2024, DOI:10.32604/cmc.2024.051562 - 18 July 2024

Abstract Advanced Driver Assistance Systems (ADAS) technologies can assist drivers or be part of automatic driving systems to support the driving process and improve the level of safety and comfort on the road. Traffic Sign Recognition System (TSRS) is one of the most important components of ADAS. Among the challenges with TSRS is being able to recognize road signs with the highest accuracy and the shortest processing time. Accordingly, this paper introduces a new real time methodology recognizing Speed Limit Signs based on a trio of developed modules. Firstly, the Speed Limit Detection (SLD) module uses… More >

Amerah Alabrah^*

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3897-3912, 2024, DOI:10.32604/cmc.2024.048528 - 20 June 2024

Abstract The emergence of digital networks and the wide adoption of information on internet platforms have given rise to threats against users’ private information. Many intruders actively seek such private data either for sale or other inappropriate purposes. Similarly, national and international organizations have country-level and company-level private information that could be accessed by different network attacks. Therefore, the need for a Network Intruder Detection System (NIDS) becomes essential for protecting these networks and organizations. In the evolution of NIDS, Artificial Intelligence (AI) assisted tools and methods have been widely adopted to provide effective solutions. However,… More >

Shuyi Li, Hongchao Hu^*, Xiaohan Yang, Guozhen Cheng, Wenyan Liu, Wei Guo

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2331-2359, 2024, DOI:10.32604/cmc.2024.047275 - 15 May 2024

Abstract Adversarial distillation (AD) has emerged as a potential solution to tackle the challenging optimization problem of loss with hard labels in adversarial training. However, fixed sample-agnostic and student-egocentric attack strategies are unsuitable for distillation. Additionally, the reliability of guidance from static teachers diminishes as target models become more robust. This paper proposes an AD method called Learnable Distillation Attack Strategies and Evolvable Teachers Adversarial Distillation (LDAS&ET-AD). Firstly, a learnable distillation attack strategies generating mechanism is developed to automatically generate sample-dependent attack strategies tailored for distillation. A strategy model is introduced to produce attack strategies that… More >

HYUNG SUN KIM^1,#, YUN SUN LEE^2,#, SEUNG MYUNG DONG³, HYO JUNG KIM¹, DA EUN LEE², HYEON WOONG KANG², MYEONG JIN KIM², JOON SEONG PARK^1,*

Oncology Research, Vol.32, No.4, pp. 615-624, 2024, DOI:10.32604/or.2024.044029 - 20 March 2024

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive solid malignancies. A specific mechanism of its metastasis has not been established. In this study, we investigated whether Neural Wiskott-Aldrich syndrome protein (N-WASP) plays a role in distant metastasis of PDAC. We found that N-WASP is markedly expressed in clinical patients with PDAC. Clinical analysis showed a notably more distant metastatic pattern in the N-WASP-high group compared to the N-WASP-low group. N-WASP was noted to be a novel mediator of epithelial-mesenchymal transition (EMT) via gene expression profile studies. Knockdown of N-WASP in pancreatic cancer cells… More > Graphic Abstract

Lei Zhu^1,#, Lihe Hou^1,3,#, Yu Zhang¹, Yang Jiang¹, Yi Wang^1,2, Meiping Zhang^1,2, Mingzhu Zhao^1,2,*, Kangyu Wang^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 313-327, 2024, DOI:10.32604/phyton.2024.047938 - 27 February 2024

Abstract Panax ginseng C. A. Mey. is an important plant species used in traditional Chinese medicine, whose primary active ingredient is a ginsenoside. Ginsenoside biosynthesis is not only regulated by transcription factors but also controlled by a variety of structural genes. Nonetheless, the molecular mechanism underlying ginsenoside biosynthesis has always been a topic in the discussion of ginseng secondary metabolites. Squalene epoxidase (SQE) is a key enzyme in the mevalonic acid pathway, which affects the biosynthesis of secondary metabolites such as terpenoid. Using ginseng transcriptome, expression, and ginsenoside content databases, this study employed bioinformatic methods to systematically… More >

YU LIU^*, ROBERT J. KASPER, NATALIE J. S. CHOI^*

BIOCELL, Vol.48, No.1, pp. 1-8, 2024, DOI:10.32604/biocell.2023.031158 - 30 January 2024

Abstract Extracellular vesicles (EVs) are membranous vesicular structures released from almost all eukaryotic cell types under different physiological or pathological conditions. Growing evidence demonstrates that EVs can serve as mediators of intercellular communication between donor and recipient cells or microorganism-infected and noninfected cells. Coronavirus disease 2019 (COVID-19) disease is caused by infection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of host cells in the respiratory system and various extra-pulmonary tissue/organs, resulting in complications of multiple organ systems. As the cell surface receptor, angiotensin-converting enzyme 2 (ACE2) mediates cellular entry of SARS-CoV-2 into the host… More >

Siti Nur Ainsyah Ghani¹, Noor Fadiya Mohd Noor^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 1017-1037, 2024, DOI:10.32604/cmes.2023.031372 - 30 December 2023

Abstract Variant graphene, graphene oxides (GO), and graphene nanoplatelets (GNP) dispersed in blood-based copper (Cu) nanoliquids over a leaning permeable cylinder are the focus of this study. These forms of graphene are highly beneficial in the biological and medical fields for cancer therapy, anti-infection measures, and drug delivery. The non-Newtonian Sutterby (blood-based) hybrid nanoliquid flows are generalized within the context of the Tiwari-Das model to simulate the effects of radiation and heating sources. The governing partial differential equations are reformulated into a nonlinear set of ordinary differential equations using similar transformational expressions. These equations are then… More >