Mohammed Shamar Yadkar¹, Sefer Kurnaz¹, Saadaldeen Rashid Ahmed^2,3,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.079408 - 09 April 2026

Abstract This advanced research describes CycleGAN-RRW, a new reversible watermarking system for secure image ownership authentication. It uses Cycle-Consistent Generative Adversarial Networks with adaptive feature encoding. In areas such as law, forensics, and telemedicine, digital images usually contain private info that may be changed or used without authorization. Existing watermarking methods may decrease image quality, may not be reversible, or need outside keys. To address these problems, our model embeds metadata into intermediate feature maps with Adaptive Instance Normalization (AdaIN), based on adversarial and perceptual loss. The dual-generator design permits two-way translation between original and watermarked… More >

Kai Tang¹, Shengxing Lu¹, Cuie He², Ruozeng Rong^1,*

BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2026.072154 - 23 March 2026

Abstract Objectives: Prostate cancer (PCa) is a highly prevalent male malignancy with limited efficacy in advanced stages. Dysregulated modulation of necroptosis was reported to be tightly correlated with PCa initiation and progression. Herein, we aimed to identify necroptosis-associated long non-coding RNAs (lncRNAs) and delineate their functional roles in PCa through an integrated approach combining bioinformatic analyses and in vitro experimental validation. Methods: RNA sequencing data and corresponding clinical information of PCa were downloaded from The Cancer Genome Atlas (TCGA). Differentially expressed necroptosis-related genes (NRGs) and lncRNAs were screened, and necroptosis activity was assessed by single-sample gene set… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2026.080056 - 24 February 2026

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2026.080055 - 24 February 2026

Abstract This article has no abstract. More >

Yating Wei¹, Hongkang Yao¹, Xian Shi², Hong Chen³, Rongzong Ye^4,*, Chaoqian Li^1,*

BIOCELL, Vol.50, No.2, 2026, DOI:10.32604/biocell.2025.072780 - 14 February 2026

Abstract Atherosclerosis, characterized by the formation of fibrofatty lesions in the arterial wall, remains a leading cause of global morbidity and mortality. Emerging evidence highlights the critical regulatory roles of long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) in atherogenesis. LncRNAs can function as competing endogenous RNAs (ceRNAs) by sponging miRNAs, thereby modulating the expression of downstream target mRNAs. This review summarizes current knowledge on lncRNA-miRNA-mRNA regulatory networks and their functional roles in the three major cell types involved in atherosclerotic plaque development: endothelial cells (ECs), vascular smooth muscle cells (VSMCs), and macrophages. In ECs, these networks More >

Xiaorui Zhang^1,2,*, Yingying Wang², Wei Sun³, Shiyu Zhou², Haoming Zhang⁴, Pengpai Wang¹

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.072626 - 10 February 2026

Abstract Discriminative region localization and efficient feature encoding are crucial for fine-grained object recognition. However, existing data augmentation methods struggle to accurately locate discriminative regions in complex backgrounds, small target objects, and limited training data, leading to poor recognition. Fine-grained images exhibit “small inter-class differences,” and while second-order feature encoding enhances discrimination, it often requires dual Convolutional Neural Networks (CNN), increasing training time and complexity. This study proposes a model integrating discriminative region localization and efficient second-order feature encoding. By ranking feature map channels via a fully connected layer, it selects high-importance channels to generate an More >

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 >