Fei Tang^1,*, Ping Wang¹, Jiang Yu¹, Huihui Zhu¹, Mengxue Qin¹, Ling Yang²

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073423 - 12 January 2026

Abstract Attribute-Based Encryption (ABE) has emerged as a fundamental access control mechanism in data sharing, enabling data owners to define flexible access policies. A critical aspect of ABE is key revocation, which plays a pivotal role in maintaining security. However, existing key revocation mechanisms face two major challenges: (1) High overhead due to ciphertext and key updates, primarily stemming from the reliance on revocation lists during attribute revocation, which increases computation and communication costs. (2) Limited universality, as many attribute revocation mechanisms are tailored to specific ABE constructions, restricting their broader applicability. To address these challenges,… More >

Cheng-Hsun Chuang^1,2,3,#, Ping-Kun Tsai^3,4,5,6,#, Shih-Wen Kao^7,8, Yu-Hsun Wang^8,9,*, Chao-Bin Yeh^1,2,3,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.072875 - 30 December 2025

Abstract Background: To determine whether initiating a glucagon-like peptide-1 receptor agonist (GLP-1 RA) within 3 months of type 2 diabetes (T2DM) diagnosis alters the subsequent risk of overall and site-specific cancer and whether this association differs by baseline body-mass index (BMI). Methods: This retrospective cohort study used electronic health records from the TriNetX U.S. research network. Adults aged 20 years or older diagnosed with T2DM between 2016 and 2024 were included if they received any hypoglycemic agents within 3 months before and after diagnosis. Following 1:1 propensity score matching, both the GLP-1 RA user and non-user… More > Graphic Abstract

Songsong Zhang¹, Huazhong Jin^1,2,*, Zhiwei Ye^1,2, Jia Yang^1,2, Jixin Zhang^1,2, Dongfang Wu^1,2, Xiao Zheng^1,2, Dingfeng Song¹

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.068044 - 10 November 2025

Abstract Multi-label feature selection (MFS) is a crucial dimensionality reduction technique aimed at identifying informative features associated with multiple labels. However, traditional centralized methods face significant challenges in privacy-sensitive and distributed settings, often neglecting label dependencies and suffering from low computational efficiency. To address these issues, we introduce a novel framework, Fed-MFSDHBCPSO—federated MFS via dual-layer hybrid breeding cooperative particle swarm optimization algorithm with manifold and sparsity regularization (DHBCPSO-MSR). Leveraging the federated learning paradigm, Fed-MFSDHBCPSO allows clients to perform local feature selection (FS) using DHBCPSO-MSR. Locally selected feature subsets are encrypted with differential privacy (DP) and transmitted… More >

Rafl M. Kamil¹, Shaik Nyamathulla^1,*, Syed Mahmood^1,2,3,4,*

Journal of Polymer Materials, Vol.42, No.4, pp. 959-992, 2025, DOI:10.32604/jpm.2025.072005 - 26 December 2025

Abstract With the global diabetes epidemic, diabetic foot ulcers (DFUs) have become a major health burden, affecting approximately 18 million people worldwide each year, and account for about 80% of diabetes-related amputations. Five-year mortality among DFU patients approaches 30%, which is comparable to that of many malignancies. Yet despite standard wound care, only about 30%–40% of chronic DFUs achieve complete healing within 12 weeks. This persistent failure shows that conventional dressings remain passive supports. They do not counteract underlying pathologies such as ischemia, prolonged inflammation, and infection. Recent advances in polymeric nanofiber scaffolds, particularly electrospun matrices,… More > Graphic Abstract

Damodharan Palaniappan¹, Tan Kuan Tak², K. Vijayan³, Balajee Maram⁴, Pravin R Kshirsagar⁵, Naim Ahmad^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4107-4127, 2025, DOI:10.32604/cmes.2025.073387 - 23 December 2025

Abstract A phase-aware cross-modal framework is presented that synthesizes UWF_FA from non-invasive UWF_RI for diabetic retinopathy (DR) stratification. A curated cohort of 1198 patients (2915 UWF_RI and 17,854 UWF_FA images) with strict registration quality supports training across three angiographic phases (initial, mid, final). The generator is based on a modified pix2pixHD with an added Gradient Variance Loss to better preserve microvasculature, and is evaluated using MAE, PSNR, SSIM, and MS-SSIM on held-out pairs. Quantitatively, the mid phase achieves the lowest MAE (98.76 ± 42.67), while SSIM remains high across phases. Expert review shows substantial agreement (Cohen’s More >

Mubashir Ali^1,2, Jingzhen Li¹, Zedong Nie^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4153-4177, 2025, DOI:10.32604/cmes.2025.073048 - 23 December 2025

Abstract Diabetes imposes a substantial burden on global healthcare systems. Worldwide, nearly half of individuals with diabetes remain undiagnosed, while conventional diagnostic techniques are often invasive, painful, and expensive. In this study, we propose a noninvasive approach for diabetes detection using photoplethysmography (PPG), which is widely integrated into modern wearable devices. First, we derived velocity plethysmography (VPG) and acceleration plethysmography (APG) signals from PPG to construct multi-channel waveform representations. Second, we introduced a novel multiset spatiotemporal feature fusion framework that integrates hand-crafted temporal, statistical, and nonlinear features with recursive feature elimination and deep feature extraction using… More >

Candan Tumer¹, Erdal Guvenoglu², Volkan Tunali^3,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5135-5158, 2025, DOI:10.32604/cmc.2025.067840 - 23 October 2025

Abstract Automated cartoon character recognition is crucial for applications in content indexing, filtering, and copyright protection, yet it faces a significant challenge in animated media due to high intra-class visual variability, where characters frequently alter their appearance. To address this problem, we introduce the novel Kral Sakir dataset, a public benchmark of 16,725 images specifically curated for the task of multi-label cartoon character classification under these varied conditions. This paper conducts a comprehensive benchmark study, evaluating the performance of state-of-the-art pretrained Convolutional Neural Networks (CNNs), including DenseNet, ResNet, and VGG, against a custom baseline model trained More >

Sophia Strukel¹, Vikrant Rai^1,2,*

BIOCELL, Vol.49, No.10, pp. 1887-1911, 2025, DOI:10.32604/biocell.2025.067207 - 22 October 2025

Abstract Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus and are associated with high morbidity, risk of amputation, and increased mortality. Although DFUs typically remain a chronic, non-healing wound, a small portion of DFUs may undergo malignant transformation. The subsequent malignancies are skin cancers such as squamous cell carcinoma (SCC), basal cell carcinoma, or melanoma. Understanding the pathophysiology of DFUs and the molecular and clinical determinants that contribute to their potential malignant transformation if crucial for clinical management. Chronic inflammation, dysregulation of cytokine signaling, faulty immune surveillance, and impaired wound healing all play… More >

Emad Sami Jaha^*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3645-3678, 2025, DOI:10.32604/cmes.2025.068681 - 30 September 2025

Abstract The human ear has been substantiated as a viable nonintrusive biometric modality for identification or verification. Among many feasible techniques for ear biometric recognition, convolutional neural network (CNN) models have recently offered high-performance and reliable systems. However, their performance can still be further improved using the capabilities of soft biometrics, a research question yet to be investigated. This research aims to augment the traditional CNN-based ear recognition performance by adding increased discriminatory ear soft biometric traits. It proposes a novel framework of augmented ear identification/verification using a group of discriminative categorical soft biometrics and deriving… More > Graphic Abstract

Wei Hu¹, Dan Xiong^2,*

BIOCELL, Vol.49, No.9, pp. 1711-1731, 2025, DOI:10.32604/biocell.2025.067670 - 25 September 2025

Abstract Objectives: Podocytes undergo epithelial-mesenchymal transition (EMT) and ferroptosis in response to hyperglycemic stimulation. This is considered an important early event in the development and progression of diabetic nephropathy (DN). Rhein is the main active anthraquinone derivative in several common traditional herbal medicines. This study aimed to investigate the protective effects of Rhein on podocyte ferroptosis and EMT. Methods: The mouse glomerular podocyte cell line MPC5 was stimulated with high glucose (HG), Rhein, and the ferroptosis inhibitor ferrostatin-1 (Fer-1). Mechanistic investigations employed plasmids to overexpress and knockdown Sirtuin-1 (SIRT1), solute carrier family 7 member 11 (SLC7A11),… More >