Yeasul Kim¹, Chaeeun Won¹, Hwankuk Kim^2,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-28, 2026, DOI:10.32604/cmc.2025.069608 - 10 November 2025

Abstract With the increasing emphasis on personal information protection, encryption through security protocols has emerged as a critical requirement in data transmission and reception processes. Nevertheless, IoT ecosystems comprise heterogeneous networks where outdated systems coexist with the latest devices, spanning a range of devices from non-encrypted ones to fully encrypted ones. Given the limited visibility into payloads in this context, this study investigates AI-based attack detection methods that leverage encrypted traffic metadata, eliminating the need for decryption and minimizing system performance degradation—especially in light of these heterogeneous devices. Using the UNSW-NB15 and CICIoT-2023 dataset, encrypted and… More >

Kemahyanto Exaudi^1,2, Deris Stiawan^3,*, Bhakti Yudho Suprapto¹, Hanif Fakhrurroja⁴, Mohd. Yazid Idris⁵, Tami A. Alghamdi⁶, Rahmat Budiarto⁶

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-24, 2026, DOI:10.32604/cmc.2025.069377 - 10 November 2025

Abstract Sudden wildfires cause significant global ecological damage. While satellite imagery has advanced early fire detection and mitigation, image-based systems face limitations including high false alarm rates, visual obstructions, and substantial computational demands, especially in complex forest terrains. To address these challenges, this study proposes a novel forest fire detection model utilizing audio classification and machine learning. We developed an audio-based pipeline using real-world environmental sound recordings. Sounds were converted into Mel-spectrograms and classified via a Convolutional Neural Network (CNN), enabling the capture of distinctive fire acoustic signatures (e.g., crackling, roaring) that are minimally impacted by… More >

Manzhu Liao¹, Lan Yang¹, Liehua Tie¹, Qiqiang Guo^1,*, Weilie Zheng^2,*, Jiangrong Li², Yongxia Li²

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3633-3652, 2025, DOI:10.32604/phyton.2025.072725 - 01 December 2025

Abstract Cupressus gigantea is an endemic endangered tree species in the Tibet Plateau, and studying the survival status of the different C. gigantea populations and revealing the main environmental factors that affect the population survival are particularly significant for the conservation and sustainable development of endangered species. Based on the 28 sample plots, the Hierarchical Cluster Method was used to classify the C. gigantea populations into four community types. Age structure diagrams were drawn based on the structure of each community, static life tables and survival curves were compiled, and the future development trends of each age group in… More >

Riya Tripathi, Varsha K. Singh, Palak Rana, Sapana Jha, Ashish P. Singh, Payel Rana, Rajeshwar P. Sinha^*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3371-3399, 2025, DOI:10.32604/phyton.2025.070712 - 01 December 2025

Abstract Cyanobacteria are photosynthetic prokaryotes. They exhibit remarkable metabolic adaptability, enabling them to withstand oxidative stress, high salinity, temperature extremes, and UV radiation (UVR). Their adaptive strategies involve complex regulatory networks that affect gene expression, enzyme activity, and metabolite fluxes to maintain cellular homeostasis. Key stress response systems include the production of antioxidants such as peroxidases (POD), catalase (CAT), and superoxide dismutase (SOD), which detoxify reactive oxygen species (ROS). To withstand environmental stresses, cyanobacteria maintain osmotic balance by accumulating compatible solutes, such as glycine betaine, sucrose, and trehalose. They also adapt to temperature and light fluctuations… More >

Miah A. Robinson, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.7, pp. 615-632, 2025, DOI:10.32604/jai.2025.073535 - 01 December 2025

Abstract Ensuring the safety of Artificial Intelligence (AI) is essential for providing dependable services, especially in various sectors such as the military, education, healthcare, and automotive industries. A highly effective method to boost the precision and performance of an AI agent involves multi-configuration training, followed by thorough evaluation in a specific setting to gauge performance outcomes. This research thoroughly investigates the design of three AI agents, each configured with a different number of hidden units. The first agent is equipped with 128 hidden units, the second with 256, and the third with 512, all utilizing the… More >

Boxuan Han^1,2,#, Shaokun Liu^3,#, Ridhima Das³, Shiqian Liu⁴, Yang Zhang^1,2,*

Oncology Research, Vol.33, No.12, pp. 3633-3656, 2025, DOI:10.32604/or.2025.071296 - 27 November 2025

Abstract Organoid technology, characterized by high fidelity in mimicking the in vivo microenvironment, preservation of tumor heterogeneity, and capacity for high-throughput operations, has emerged as a critical tool in head and neck cancer research. To address clinical challenges in head and neck cancer management—including marked tumor heterogeneity, therapeutic resistance, and significant prognostic variability—this review focuses on four key translational applications of organoid technology: In mechanistic studies, organoid models provide a reliable platform for investigating tumorigenesis, progression, and drug resistance mechanisms. In personalized therapy, organoid-based drug sensitivity testing enables data-driven clinical decision-making. For biomarker discovery, organoids facilitate the More >

Chenglu Lu^1,#, Huiting Zhang^2,#, Ujjal K. Bhawal^3,4, Lei Wang¹, Jingwu Li¹, Pangzhou Chen^5,*, Lewei Zhu^6,*

Oncology Research, Vol.33, No.12, pp. 3657-3678, 2025, DOI:10.32604/or.2025.069703 - 27 November 2025

Abstract The tumor microenvironment (TME) is a complex network composed of non-tumor cells, extracellular matrix, blood vessels, and various molecular signals that surround and profoundly influence tumor progression. As one of the key immune effector cells within the TME, mast cells (MCs) exhibit functional complexity, and their specific roles remain widely debated. Depending on the cancer type, spatial distribution, and interactions with other TME components, MCs can demonstrate dual regulatory capabilities—either promoting or inhibiting tumor growth. This characteristic has made them an important focus in current tumor immunology research. This review aims to systematically review the More >

Zhujiang Dai^1,2,#, Xiaoyong Ge^1,2,#, Wenbo Tang^1,2, Chen-Ying Liu^1,2, Yun Liu^1,2,*, Zhongchuan Wang^1,2,*

Oncology Research, Vol.33, No.12, pp. 4113-4143, 2025, DOI:10.32604/or.2025.068473 - 27 November 2025

Abstract Objective: The plastic role of regulatory factor X1 (RFX1) in colon cancer progression and its impact on the tumor microenvironment remain poorly understood. The study aimed to clarify the molecular and clinical role of RFX1 in colon cancer. Methods: We classified colon cancers into subgroups with high and low RFX1 expression and characterized their immune profiles, mutational profiles, cancer immunotherapy and drug sensitivity. By combining RFX1 expression with persistent tumor mutational burden, we proposed a novel nomogram clinical prediction model and validated its predictive performance, and the correlation between high expression and poor prognosis. Results: Compared… More > Graphic Abstract

Yi Feng^1,#, Haoxin Yang², Guicai Liang¹, Jun Chen³, Tao Li¹, Yingjuan Wang⁴, Jilin Chang¹, Yan Li³, Meng Yang¹, Xilong Zhou¹, Zhiqiang Wang^5,*, Chunlei Ge^1,*

Oncology Research, Vol.33, No.12, pp. 3801-3836, 2025, DOI:10.32604/or.2025.067824 - 27 November 2025

Abstract Immune checkpoint inhibitor (ICI) has limited efficacy in the treatment of immune “cold” tumors. Due to insufficient T cell infiltration and heterogeneous programmed death ligand 1 (PD-L1) expression, the ORR is only 5%–8% compared with 30%–40% of “hot” tumors. This article reviews the synergistic mechanism, clinical efficacy and optimization strategy of oncolytic virus (OVs) combined with ICIs in the treatment of refractory malignant tumors. Systematic analysis of mechanistic interactions across tumor types and clinical trial data demonstrates that OVs transform the immunosuppressive microenvironment by inducing immunogenic cell death and activating innate immunity. Concurrently, ICIs enhance… More >

Huan Wang^1,#, Jindong Xie^1,#, Na Li¹, Qianwen Liu¹, Wenqi Song¹, Wenkuan Chen¹, Cheng Peng^2,*, Hailin Tang^1,*

Oncology Research, Vol.33, No.12, pp. 3789-3800, 2025, DOI:10.32604/or.2025.067592 - 27 November 2025

Abstract Solid tumors comprise the majority of the global cancer burden, with their incidence and associated mortality posing considerable challenges to public health systems. With population growth and aging, the burden of these tumors is anticipated to increase further in the coming decades. The progression of solid tumors depends on dynamic interactions between malignantly transformed cells and the tumor microenvironment (TME). Immune checkpoint inhibitor therapy improves T cell-mediated antitumor activity by suppressing regulatory pathways, such as programmed cell death protein 1/programmed death-ligand 1. Nonetheless, its widespread application is constrained by drug resistance. In this comprehensive review, More >