Hamza Murad Khan¹, Shakila Basheer², Mohammad Tabrez Quasim³, Raja`a Al-Naimi⁴, Vijaykumar Varadarajan⁵, Anwar Khan^1,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.069327 - 10 November 2025

Abstract With the increasing growth of online news, fake electronic news detection has become one of the most important paradigms of modern research. Traditional electronic news detection techniques are generally based on contextual understanding, sequential dependencies, and/or data imbalance. This makes distinction between genuine and fabricated news a challenging task. To address this problem, we propose a novel hybrid architecture, T5-SA-LSTM, which synergistically integrates the T5 Transformer for semantically rich contextual embedding with the Self-Attention-enhanced (SA) Long Short-Term Memory (LSTM). The LSTM is trained using the Adam optimizer, which provides faster and more stable convergence compared… More >

Yingjie Wang^1,#, Wanlin Dong^1,#, Can Wang², Zirui Li¹, Yongqiang Wang¹, Qi Li¹, Cheng-Ya Dong^1,*

Oncology Research, Vol.33, No.12, pp. 4093-4111, 2025, DOI:10.32604/or.2025.068313 - 27 November 2025

Abstract Objectives: Glioblastoma is a prevalent malignant brain tumor, and the actions of the long non-coding RNA HOXA10-AS in its invasion and migration remain unclear. Here, the function of HOXA10-AS in glioblastoma cell invasion and migration and associated mechanisms were investigated. Methods: HOXA10-AS was knocked down in glioblastoma cells, and Transwell and wound healing assays were conducted to elucidate its impacts on cell invasion and migration. Western blotting and quantitative reverse transcription polymerase chain reaction (qRT-PCR) assessed HOXA10-AS’s impact on the epithelial-mesenchymal transition (EMT). Microarray analysis identified differentially expressed genes, complemented by bioinformatics approaches to explore… 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 >

Chenquan Gan^1,2,*, Xu Liu¹, Yu Tang², Xianrong Yu³, Qingyi Zhu¹, Deepak Kumar Jain⁴

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5399-5421, 2025, DOI:10.32604/cmc.2025.068126 - 23 October 2025

Abstract Multimodal sentiment analysis aims to understand emotions from text, speech, and video data. However, current methods often overlook the dominant role of text and suffer from feature loss during integration. Given the varying importance of each modality across different contexts, a central and pressing challenge in multimodal sentiment analysis lies in maximizing the use of rich intra-modal features while minimizing information loss during the fusion process. In response to these critical limitations, we propose a novel framework that integrates spatial position encoding and fusion embedding modules to address these issues. In our model, text is… More >

Jyun-Jie Wang¹, Yin-Chen Lin¹, Chi-Chun Chen^2,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5595-5624, 2025, DOI:10.32604/cmc.2025.066160 - 23 October 2025

Abstract Digital watermarking must balance imperceptibility, robustness, complexity, and security. To address the challenge of computational efficiency in trellis-based informed embedding, we propose a modified watermarking framework that integrates fuzzy c-means (FCM) clustering into the generation off block codewords for labeling trellis arcs. The system incorporates a parallel trellis structure, controllable embedding parameters, and a novel informed embedding algorithm with reduced complexity. Two types of embedding schemes—memoryless and memory-based—are designed to flexibly trade-off between imperceptibility and robustness. Experimental results demonstrate that the proposed method outperforms existing approaches in bit error rate (BER) and computational complexity under More >

Chengru Yang^1,#, Zhiyu Wang^1,#, Shaowu Bi¹, Xinmiao Zhang¹, Zhaoqiang Xu¹, Yifei Ge¹, Tianjie Zhang¹, Nan Wang¹, Yi Xu^{1,2,3,4,5,6,7,8,9,*}, Xiangyu Zhong^1,*

Oncology Research, Vol.33, No.11, pp. 3207-3229, 2025, DOI:10.32604/or.2025.066150 - 22 October 2025

Abstract Pancreatic cancer (PC) is an extremely aggressive cancer of the digestive system with insidious onset and the lack of effective biomarkers, resulting in late-stage diagnosis and poor prognosis. Exosomal non-coding RNAs (ncRNAs) are key mediators of intercellular communication that drive PC initiation and advancement. By modulating gene expression, they impact tumor microenvironment (TME) remodeling, proliferation, migration, apoptosis, and immune evasion. Critically, exosomal ncRNAs serve as promising biomarkers for early diagnosis and prognostic assessment. This review summarizes the current research achievements regarding exosomal ncRNAs in PC, systematically elaborating on their roles in tumor occurrence, metastasis, chemoresistance More >

Oncology Research Editorial Office

Oncology Research, Vol.33, No.10, pp. 3159-3159, 2025, DOI:10.32604/or.2025.073035 - 26 September 2025

Abstract This article has no abstract. More >

Chao Li^1,3,#, Chen Wang^1,3,#, Caichang Ding^2,*, Yonghao Liao^1,3, Zhiwei Ye^1,3

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3129-3149, 2025, DOI:10.32604/cmc.2025.067440 - 23 September 2025

Abstract Deep learning-based semantic communication has achieved remarkable progress with CNNs and Transformers. However, CNNs exhibit constrained performance in high-resolution image transmission, while Transformers incur high computational cost due to quadratic complexity. Recently, VMamba, a novel state space model with linear complexity and exceptional long-range dependency modeling capabilities, has shown great potential in computer vision tasks. Inspired by this, we propose MNTSCC, an efficient VMamba-based nonlinear joint source-channel coding (JSCC) model for wireless image transmission. Specifically, MNTSCC comprises a VMamba-based nonlinear transform module, an MCAM entropy model, and a JSCC module. In the encoding stage, the… More >

Ni Tang^1,2,3,*, Chenchun Hao^1,2, Rong Qiu^1,2

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2551-2562, 2025, DOI:10.32604/phyton.2025.070556 - 29 August 2025

Abstract Supplemental lighting has emerged as a widely adopted technique in greenhouse cultivation to enhance product visibility and improve the flavor characteristics of Chinese bayberry (Myrica rubra) in the international market. While studies on lighting have predominantly focused on colorimetry, limited research has addressed the precise control of chromatic parameters and their effect on fruit quality. This study examined the effects of varying lighting conditions, specifically correlated color temperatures and illuminance, on the growth and quality of Chinese bayberry varieties “Black Charcoal” and “Dongkui” using a precision control system. The bayberry plants were exposed to a constant… More >

Oncology Research Editorial Offfce

Oncology Research, Vol.33, No.9, pp. 2599-2599, 2025, DOI:10.32604/or.2025.071884 - 28 August 2025

Abstract This article has no abstract. More >