Zheyuan Jia, Fenglin Jin^*, Jun Xie, Yuan He

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-15, 2026, DOI:10.32604/cmc.2025.069128 - 10 November 2025

Abstract This paper investigates the traffic offloading optimization challenge in Space-Air-Ground Integrated Networks (SAGIN) through a novel Recursive Multi-Agent Proximal Policy Optimization (RMAPPO) algorithm. The exponential growth of mobile devices and data traffic has substantially increased network congestion, particularly in urban areas and regions with limited terrestrial infrastructure. Our approach jointly optimizes unmanned aerial vehicle (UAV) trajectories and satellite-assisted offloading strategies to simultaneously maximize data throughput, minimize energy consumption, and maintain equitable resource distribution. The proposed RMAPPO framework incorporates recurrent neural networks (RNNs) to model temporal dependencies in UAV mobility patterns and utilizes a decentralized multi-agent More >

Khanh Toan Nguyen^1,*, Thi Huong Pham^1,2, Van Lam Ngo¹, Thi Thuy My Nguyen¹, Thi Dao Nguyen¹, Khanh Hung Truong¹, Van Nhat Nguyen¹, Van Thanh Le¹, Ba Duc Ho¹, Thi Phuong Thao Nguyen¹, Thi Ha Phuong Nguyen¹, Thi My Linh Dinh¹, Thi Hong Anh Vo¹, Thi Thuy Phan¹, Thi Hai Yen Le¹, Thi Nhung Ngo¹, Khanh Ha Nguyen¹

Oncology Research, Vol.33, No.12, pp. 4013-4028, 2025, DOI:10.32604/or.2025.069281 - 27 November 2025

Abstract Objective: Patients with stage III non-small cell lung cancer (NSCLC) present with a heterogeneous disease profile and often require multifaceted treatment strategies. This research aimed to investigate the demographic features, therapeutic patterns, and survival outcomes of such patients in Vietnam. Methods: A retrospective descriptive study was conducted on 731 patients diagnosed with stage III NSCLC American Joint Committee on Cancer (AJCC) 8th edition, at Nghe An Oncology Hospital from January 2018 to August 2024. Descriptive statistics summarized baseline and treatment characteristics. We calculated progression-free survival (PFS) and overall survival (OS) through the Kaplan–Meier approach and… More >

Abdulaziz A. Alsulami¹, Qasem Abu Al-Haija^2,*, Badraddin Alturki³, Ayman Yafoz¹, Ali Alqahtani⁴, Raed Alsini¹, Sami Saeed Binyamin⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1117-1140, 2025, DOI:10.32604/cmes.2025.070745 - 30 October 2025

Abstract QR codes are widely used in applications such as information sharing, advertising, and digital payments. However, their growing adoption has made them attractive targets for malicious activities, including malware distribution and phishing attacks. Traditional detection approaches rely on URL analysis or image-based feature extraction, which may introduce significant computational overhead and limit real-time applicability, and their performance often depends on the quality of extracted features. Previous studies in malicious detection do not fully focus on QR code security when combining convolutional neural networks (CNNs) with recurrent neural networks (RNNs). This research proposes a deep learning… More >

Yahya Alhaj Maz¹, Mohammed Anbar¹, Selvakumar Manickam^1,*, Mosleh M. Abualhaj², Sultan Ahmed Almalki³, Basim Ahmad Alabsi⁴

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5287-5307, 2025, DOI:10.32604/cmc.2025.068257 - 23 October 2025

Abstract The Internet of Things (IoT) is an innovation that combines imagined space with the actual world on a single platform. Because of the recent rapid rise of IoT devices, there has been a lack of standards, leading to a massive increase in unprotected devices connecting to networks. Consequently, cyberattacks on IoT are becoming more common, particularly keylogging attacks, which are often caused by security vulnerabilities on IoT networks. This research focuses on the role of transfer learning and ensemble classifiers in enhancing the detection of keylogging attacks within small, imbalanced IoT datasets. The authors propose… More >

Robyn Lesch¹, Evan David Visser¹, Ntalane Sello Seroka^1,2,*, Lindiwe Khotseng^1,*

Journal of Renewable Materials, Vol.13, No.10, pp. 1935-1977, 2025, DOI:10.32604/jrm.2025.02025-0026 - 22 October 2025

Abstract The review investigates the use of biomass-derived carbon as precursors for nanomaterials, acknowledging their sustainability and eco-friendliness. It examines various types of biomasses, such as agricultural residues and food byproducts, focussing on their transformation via environmentally friendly methods such as pyrolysis and hydrothermal carbonisation. Innovations in creating porous carbon nanostructures and heteroatom surface functionalisation are identified, enhancing catalytic performance. The study also explores the integration of biomass-derived carbon with nanomaterials for energy storage, catalysis, and other applications, noting the economic and environmental benefits. Despite these advantages, challenges persist in optimising synthesis methods and scaling production. More > Graphic Abstract

Matthew Rubinstein^1,*, Madeline Lauren Hong¹, Rishi Kumar Nanda¹, Daniel Thomas Jones¹, Hazem Aboaid², Yin Mon Myat³, Kyaw Zin Thein⁴

Oncology Research, Vol.33, No.11, pp. 3161-3183, 2025, DOI:10.32604/or.2025.067791 - 22 October 2025

Abstract The ever-expanding development of tissue-agnostic therapies which target malignancies based on specific mutations rather than tissue origin have transformed the landscape of oncology. The purpose of this review is to explore the impact, safety, and challenges of tissue-agnostic therapies including pembrolizumab, dostarlimab, larotrectinib, entrectinib, repotrectinib, dabrafenib plus trametinib, selpercatinib, and trastuzumab deruxtecan. As the therapeutic arsenal continues to grow, it is crucial to understand how these therapies truly benefit patients and to address the barriers that stand in the way of making them more widely available. Although these therapies have shown effectiveness across multiple cancer More >

Takeshi Toyozumi^1,*, Hideaki Shimada², Hisahiro Matsubara¹

Oncology Research, Vol.33, No.11, pp. 3185-3206, 2025, DOI:10.32604/or.2025.065818 - 22 October 2025

Abstract Cancer immunotherapy has long been established as an important treatment option for cancers. In particular, Immune Checkpoint Inhibitor (ICI) has been reported to be effective against various gastrointestinal cancers (esophageal cancer, gastric cancer, colorectal cancer); however, the treatment phase in which ICI should be used and how it should be incorporated into the treatment strategy vary depending on the cancer type being treated. Multiple clinical trials and basic research on ICIs are currently underway, and new insights from these results will continue to change the clinical treatment strategy of gastrointestinal cancers. While it is desirable… More >

Tuhid Pashaee Golmarz¹, Seyyed Kazem Yekani^1,*, Ebrahim Abdi aghdam²

Energy Engineering, Vol.122, No.10, pp. 4121-4134, 2025, DOI:10.32604/ee.2025.067446 - 30 September 2025

Abstract Since the beginning of the 20th century, alkaline electrolysis has been used as a proven method for producing hydrogen on a megawatt scale. The existence of parasitic shunt currents in alkaline water electrolysis, which is utilized to produce clean hydrogen, is investigated in this work. Analysis has been done on a 20-cell stack. Steel end plates, bipolar plates, and an electrolyte concentration of 6 M potassium hydroxide are all included in the model. The Butler-Volmer kinetics equations are used to simulate the electrode surfaces. Ohmic losses are taken into consideration in both the electrode and… More >

Qiji Dai¹, Jikai Li^2,*, Bohui Ning¹, Yutao Xu¹, Chang Liu², Xuan Zhang¹

Energy Engineering, Vol.122, No.10, pp. 4061-4080, 2025, DOI:10.32604/ee.2025.067304 - 30 September 2025

Abstract Aiming at the challenge of complex load balancing coordination for a three-phase four-leg (3P4L) based multi-ended low voltage flexible DC distribution system (M-LVDC) considering unbalanced power compensation, this paper proposes a phase-split power decoupling unbalanced compensation strategy based load balancing strategy for 3P4L based M-LVDC. Firstly, the topology and operation principle of the 3P4L-based M-LVDC system is introduced, and quasi-proportional resonant (QPR) based phase-split power current control for the 3P4L converter is proposed. Secondly, a load-balancing control strategy considering unbalanced compensation for 3P4L-based M-LVDC is presented, in which the control diagrams for each 3P4L-based converter… More >

Weibing Xu¹, Bo Yao^2,*, Xiangjun Quan³, Xunyou Zhang¹, Ning Zou², Shuo Liu², Jia Wang⁴, Jiansuo Zhang⁴

Energy Engineering, Vol.122, No.10, pp. 4225-4243, 2025, DOI:10.32604/ee.2025.066738 - 30 September 2025

Abstract The integration of large-scale new energy and high-capacity DC transmission leads to a reduction in system inertia. Grid-forming renewable energy sources (GF-RES) has a significant improvement effect on system inertia. Commutation failure faults may cause a short-term reactive power surplus at the sending end and trigger transient overvoltage, threatening the safe and stable operation of the power grid. However, there is a lack of research on the calculation method of transient overvoltage caused by commutation failure in high-voltage DC transmission systems with grid-forming renewable energy sources integration. Based on the existing equivalent model of high-voltage… More >