Ziying Huang¹, Ruikang Ma¹, Anning Li², Yufei Cheng¹, Xiaolin Lin², Mengzhi Li³, Yu Zhang², Liping Shi¹, Linlin Dong^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2025.074419 - 30 January 2026

Abstract Epimedium is commonly used to treat bone injury and kidney disease, with prenylated flavonol glycosides (PFGs) as its active ingredients. It has attracted much attention due to prominent healthcare and therapeutic effects, but faces problems of adulteration with closely related species and confusion about geographical origins. In this study, multiple technical approaches were employed to identify its genetic characteristics and metabolic differences. Based on DNA barcoding, 20 batches of samples were analyzed. The genetic distances of matK, ITS and psbA-trnH within species were all smaller than those between species, and psbA-trnH along with ITS + psbA-trnH proved most effective… More >

Zhilong He^1,#, Jing Qin^1,#, Sixuan Wu^2,#, Xian Liang¹, Yu Liu¹, Jinfeng Qiu¹, Zhimin Li^2,*, Kai Hu^1,*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.070567 - 19 January 2026

Abstract Objective: The contribution of long non-coding RNAs (lncRNAs) associated with protein palmitoylation to the progression of hepatocellular carcinoma (HCC) remains largely unclear. This study sought to establish a prognostic signature based on palmitoylation-related lncRNAs and explore their functional implications in HCC. Methods: RNA sequencing and clinical data for HCC and normal tissues were sourced from the Cancer Genome Atlas (TCGA). Pearson correlation analysis was used to identify lncRNAs that were co-expressed with palmitoylation-related genes. Univariate Cox regression was applied to select lncRNAs with prognostic value, followed by the construction of a predictive model using the… More >

Se Ha Jang^1,2,#, Hyung Seok Kim^3,#, Jung Woo Eun^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.072240 - 30 December 2025

Abstract Hepatocellular carcinoma (HCC) remains one of the most prevalent and lethal malignancies worldwide. Long non-coding RNAs (lncRNAs) have emerged as crucial regulators of gene expression and cancer progression, yet the functional diversity of RP11-derived lncRNAs—originally mapped to bacterial artificial chromosome (BAC) clones from the Roswell Park Cancer Institute—has only recently begun to be appreciated. This mini-review aims to systematically synthesize current findings on RP11-derived lncRNAs in HCC, outlining their genomic origins, molecular mechanisms, and biological significance. We highlight their roles in metabolic reprogramming, microRNA network modulation, and tumor progression, as well as their diagnostic and More >

Bing Wei, Ming Zhong, Qian Chen, Yi Wu^*, Yubin Li

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.069910 - 09 December 2025

Abstract In erasure-coded storage systems, updating data requires parity maintenance, which often leads to significant I/O amplification due to “write-after-read” operations. Furthermore, scattered parity placement increases disk seek overhead during repair, resulting in degraded system performance. To address these challenges, this paper proposes a Cognitive Update and Repair Method (CURM) that leverages machine learning to classify files into write-only, read-only, and read-write categories, enabling tailored update and repair strategies. For write-only and read-write files, CURM employs a data-difference mechanism combined with fine-grained I/O scheduling to minimize redundant read operations and mitigate I/O amplification. For read-write files,… More >

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 >